running trainer_lstm_test loaded dicts interpolate should be below Index(['Unnamed: 0', 'agency_cd', 'site_no', 'datetime', 'tz_cd', 'cfs', '65564_00060_cd', '65565_00065', '65565_00065_cd', 'date', 'precip', 'temp'], dtype='object') [] scaled cols are ['cfs', 'precip', 'temp'] scaling now interpolate should be below Index(['Unnamed: 0', 'agency_cd', 'site_no', 'datetime', 'tz_cd', 'cfs', '65564_00060_cd', '65565_00065', '65565_00065_cd', 'date', 'precip', 'temp'], dtype='object') [] scaled cols are ['cfs', 'precip', 'temp'] scaling now interpolate should be below Index(['Unnamed: 0', 'agency_cd', 'site_no', 'datetime', 'tz_cd', 'cfs', '65564_00060_cd', '65565_00065', '65565_00065_cd', 'date', 'precip', 'temp'], dtype='object') [] scaled cols are ['cfs', 'precip', 'temp'] scaling now wandb: Currently logged in as: igodfried to https://api.wandb.ai. Use `wandb login --relogin` to force relogin wandb: Tracking run with wandb version 0.22.0 wandb: Run data is saved locally in /home/circleci/repo/wandb/run-20250919_000754-pj83c703 wandb: Run `wandb offline` to turn off syncing. wandb: Syncing run flood_forecast_circleci wandb: ⭐️ View project at https://wandb.ai/igodfried/repo-flood_forecast wandb: 🚀 View run at https://wandb.ai/igodfried/repo-flood_forecast/runs/pj83c703 Torch is using cpu running torch_single_train The running loss iss: 72.14193821209483 The number of items in train is: 72 The loss for epoch 0 1.0019713640568726 Computing validation loss Computing validation loss test loss: 278.5640379991164 This model is currently forecasting for: 1 targets interpolate should be below Index(['Unnamed: 0', 'agency_cd', 'site_no', 'datetime', 'tz_cd', 'cfs', '65564_00060_cd', '65565_00065', '65565_00065_cd', 'date', 'precip', 'temp'], dtype='object') [] scaled cols are ['cfs', 'precip', 'temp'] scaling now CSV Path below tests/test_data/keag_small.csv columns are: Unnamed: 0 agency_cd site_no ... date precip temp 0 0 USGS 1037000 ... 2014-05-01 01:00:00 0.8 3.9 1 1 USGS 1037000 ... 2014-05-01 02:00:00 0.8 3.9 2 2 USGS 1037000 ... 2014-05-01 03:00:00 0.5 3.9 3 3 USGS 1037000 ... 2014-05-01 04:00:00 3.3 3.9 4 4 USGS 1037000 ... 2014-05-01 05:00:00 5.4 3.9 ... ... ... ... ... ... ... ... 8691 8691 USGS 1037000 ... 2016-06-22 20:00:00 0.0 16.1 8692 8692 USGS 1037000 ... 2016-06-22 21:00:00 0.0 15.0 8693 8693 USGS 1037000 ... 2016-06-22 22:00:00 0.0 14.4 8694 8694 USGS 1037000 ... 2016-06-22 23:00:00 0.0 13.9 8695 8695 USGS 1037000 ... 2016-06-23 00:00:00 0.0 13.9 [8696 rows x 12 columns] These are the params {'model_name': 'LSTM', 'model_type': 'PyTorch', 'model_params': {'seq_length': 10, 'n_time_series': 3, 'output_seq_len': 1, 'batch_size': 4}, 'dataset_params': {'class': 'default', 'training_path': 'tests/test_data/keag_small.csv', 'validation_path': 'tests/test_data/keag_small.csv', 'test_path': 'tests/test_data/keag_small.csv', 'batch_size': 4, 'forecast_history': 10, 'forecast_length': 1, 'train_start': 1, 'train_end': 300, 'valid_start': 301, 'valid_end': 401, 'test_start': 50, 'test_end': 450, 'target_col': ['cfs'], 'relevant_cols': ['cfs', 'precip', 'temp'], 'scaler': 'StandardScaler', 'interpolate': False}, 'training_params': {'criterion': 'MSE', 'optimizer': 'Adam', 'optim_params': {}, 'lr': 0.3, 'epochs': 1, 'batch_size': 4, 'shuffle': False}, 'GCS': False, 'wandb': {'name': 'flood_forecast_circleci', 'tags': ['dummy_run', 'circleci'], 'project': 'repo-flood_forecast'}, 'forward_params': {}, 'metrics': ['MSE'], 'inference_params': {'datetime_start': '2016-05-31', 'hours_to_forecast': 334, 'test_csv_path': 'tests/test_data/keag_small.csv', 'decoder_params': {'decoder_function': 'simple_decode', 'unsqueeze_dim': 1}, 'dataset_params': {'file_path': 'tests/test_data/keag_small.csv', 'forecast_history': 10, 'forecast_length': 1, 'relevant_cols': ['cfs', 'precip', 'temp'], 'target_col': ['cfs'], 'scaling': StandardScaler(), 'interpolate_param': False}}, 'run': [{'epoch': 0, 'train_loss': '1.0019713640568726', 'validation_loss': '38.625145237892866'}]} Un-transforming data /home/circleci/repo/flood_forecast/evaluator.py:141: FutureWarning: Setting an item of incompatible dtype is deprecated and will raise an error in a future version of pandas. 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1037000 ... 8136 0.000000 0.000000 8137 8137 USGS 1037000 ... 8137 0.000000 0.000000 ... ... ... ... ... ... ... ... 8472 8472 USGS 1037000 ... 8472 161.875793 161.875793 8473 8473 USGS 1037000 ... 8473 161.361649 161.361649 8474 8474 USGS 1037000 ... 8474 160.753937 160.753937 8475 8475 USGS 1037000 ... 8475 160.519333 160.519333 8476 8476 USGS 1037000 ... 8476 160.524719 160.524719 [344 rows x 15 columns] /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/shap/explainers/_deep/deep_pytorch.py:255: UserWarning: unrecognized nn.Module: LSTM warnings.warn(f"unrecognized nn.Module: {module_type}") /home/circleci/repo/flood_forecast/explain_model_output.py:118: UserWarning: Named tensors and all their associated APIs are an experimental feature and subject to change. Please do not use them for anything important until they are released as stable. (Triggered internally at /pytorch/c10/core/TensorImpl.h:1939.) shap_values = torch.tensor( /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/shap/explainers/_deep/deep_pytorch.py:255: UserWarning: unrecognized nn.Module: LSTM Now plotting final plots Process is now complete. wandb: wandb: 🚀 View run flood_forecast_circleci at:  wandb: Find logs at: wandb/run-20250919_000754-pj83c703/logs running trainer_multi_test loaded dicts interpolate should be below Index(['Unnamed: 0', 'agency_cd', 'site_no', 'datetime', 'tz_cd', 'cfs', '65564_00060_cd', '65565_00065', '65565_00065_cd', 'date', 'precip', 'temp'], dtype='object') [] scaled cols are ['cfs', 'precip', 'temp'] interpolate should be below Index(['Unnamed: 0', 'agency_cd', 'site_no', 'datetime', 'tz_cd', 'cfs', '65564_00060_cd', '65565_00065', '65565_00065_cd', 'date', 'precip', 'temp'], dtype='object') [] scaled cols are ['cfs', 'precip', 'temp'] interpolate should be below Index(['Unnamed: 0', 'agency_cd', 'site_no', 'datetime', 'tz_cd', 'cfs', '65564_00060_cd', '65565_00065', '65565_00065_cd', 'date', 'precip', 'temp'], dtype='object') [] scaled cols are ['cfs', 'precip', 'temp'] wandb: Currently logged in as: igodfried to https://api.wandb.ai. Use `wandb login --relogin` to force relogin wandb: Tracking run with wandb version 0.22.0 wandb: Run data is saved locally in /home/circleci/repo/wandb/run-20250919_000842-s74bxmzg wandb: Run `wandb offline` to turn off syncing. wandb: Syncing run flood_forecast_circleci wandb: ⭐️ View project at https://wandb.ai/igodfried/repo-flood_forecast wandb: 🚀 View run at https://wandb.ai/igodfried/repo-flood_forecast/runs/s74bxmzg Torch is using cpu using 3 running torch_single_train Warning: high loss detected Warning: high loss detected Warning: high loss detected Warning: high loss detected Warning: high loss detected Warning: high loss detected Warning: high loss detected Warning: high loss detected Warning: high loss detected Warning: high loss detected Warning: high loss detected Warning: high loss detected Warning: high loss detected Warning: high loss detected Warning: high loss detected Warning: high loss detected Warning: high loss detected Warning: high loss detected Warning: high loss detected Warning: high loss detected Warning: high loss detected Warning: high loss detected Warning: high loss detected Warning: high loss detected Warning: high loss detected Warning: high loss detected Warning: high loss detected Warning: high loss detected Warning: high loss detected Warning: high loss detected Warning: high loss detected Warning: high loss detected Warning: high loss detected Warning: high loss detected Warning: high loss detected Warning: high loss detected Warning: high loss detected Warning: high loss detected Warning: high loss detected Warning: high loss detected Warning: high loss detected Warning: high loss detected Warning: high loss detected Warning: high loss detected Warning: high loss detected The running loss iss: 2473964.8032226562 The number of items in train is: 45 The loss for epoch 0 54976.99562717014 Computing validation loss Computing validation loss test loss: 10962399.481811523 This model is currently forecasting for: 1 targets interpolate should be below Index(['Unnamed: 0', 'agency_cd', 'site_no', 'datetime', 'tz_cd', 'cfs', '65564_00060_cd', '65565_00065', '65565_00065_cd', 'date', 'precip', 'temp'], dtype='object') [] scaled cols are ['cfs', 'precip', 'temp'] CSV Path below tests/test_data/keag_small.csv columns are: Unnamed: 0 agency_cd site_no ... date precip temp 0 0 USGS 1037000 ... 2014-05-01 01:00:00 0.8 3.9 1 1 USGS 1037000 ... 2014-05-01 02:00:00 0.8 3.9 2 2 USGS 1037000 ... 2014-05-01 03:00:00 0.5 3.9 3 3 USGS 1037000 ... 2014-05-01 04:00:00 3.3 3.9 4 4 USGS 1037000 ... 2014-05-01 05:00:00 5.4 3.9 ... ... ... ... ... ... ... ... 8691 8691 USGS 1037000 ... 2016-06-22 20:00:00 0.0 16.1 8692 8692 USGS 1037000 ... 2016-06-22 21:00:00 0.0 15.0 8693 8693 USGS 1037000 ... 2016-06-22 22:00:00 0.0 14.4 8694 8694 USGS 1037000 ... 2016-06-22 23:00:00 0.0 13.9 8695 8695 USGS 1037000 ... 2016-06-23 00:00:00 0.0 13.9 [8696 rows x 12 columns] These are the params {'model_name': 'MultiAttnHeadSimple', 'model_type': 'PyTorch', 'model_params': {'number_time_series': 3, 'seq_len': 5}, 'dataset_params': {'class': 'default', 'num_workers': 3, 'training_path': 'tests/test_data/keag_small.csv', 'validation_path': 'tests/test_data/keag_small.csv', 'test_path': 'tests/test_data/keag_small.csv', 'batch_size': 4, 'forecast_history': 5, 'forecast_length': 5, 'train_end': 190, 'valid_start': 301, 'valid_end': 401, 'test_end': 500, 'target_col': ['cfs'], 'relevant_cols': ['cfs', 'precip', 'temp'], 'sort_column': 'datetime', 'interpolate': False}, 'training_params': {'criterion': 'MSE', 'optimizer': 'Adam', 'optim_params': {}, 'lr': 0.3, 'epochs': 1, 'batch_size': 4, 'shuffle': False}, 'GCS': False, 'wandb': {'name': 'flood_forecast_circleci', 'tags': ['dummy_run', 'circleci'], 'project': 'repo-flood_forecast'}, 'forward_params': {}, 'metrics': ['MSE'], 'inference_params': {'num_prediction_samples': 100, 'datetime_start': '2016-05-31', 'hours_to_forecast': 336, 'test_csv_path': 'tests/test_data/keag_small.csv', 'dataset_params': {'file_path': 'tests/test_data/keag_small.csv', 'forecast_history': 5, 'forecast_length': 5, 'relevant_cols': ['cfs', 'precip', 'temp'], 'target_col': ['cfs'], 'interpolate_param': False}}, 'run': [{'epoch': 0, 'train_loss': '54976.99562717014', 'validation_loss': '158804.46630859375'}]} /home/circleci/repo/flood_forecast/evaluator.py:348: FutureWarning: Setting an item of incompatible dtype is deprecated and will raise an error in a future version of pandas. Value '[51.10047149658203, 51.0982780456543, 51.09789276123047, 51.09789276123047, 51.097774505615234, 39.17736053466797, 39.17744064331055, 39.17744064331055, 39.177364349365234, 39.177364349365234, 31.989582061767578, 31.989582061767578, 31.989582061767578, 31.99087142944336, 31.99083709716797, 26.866283416748047, 26.866527557373047, 26.866607666015625, 26.866737365722656, 26.866783142089844, 23.1483097076416, 23.14838981628418, 23.14838981628418, 23.1483097076416, 23.14801788330078, 20.094703674316406, 20.09552574157715, 20.09564971923828, 20.09587287902832, 20.095733642578125, 16.820640563964844, 16.821063995361328, 16.818462371826172, 16.820241928100586, 16.81968879699707, 15.047788619995117, 15.047536849975586, 15.047061920166016, 15.045649528503418, 15.044707298278809, 14.015042304992676, 14.014683723449707, 14.013973236083984, 14.013550758361816, 14.01318359375, 13.433960914611816, 13.433274269104004, 13.434741973876953, 13.437350273132324, 13.439966201782227, 12.146940231323242, 12.149249076843262, 12.150388717651367, 12.151524543762207, 12.150996208190918, 10.209489822387695, 10.209493637084961, 10.209495544433594, 10.209388732910156, 10.209587097167969, 10.094916343688965, 10.090564727783203, 10.084854125976562, 10.07989501953125, 10.075774192810059, 9.873010635375977, 9.872795104980469, 9.872766494750977, 9.873080253601074, 9.873221397399902, 9.699833869934082, 9.703448295593262, 9.708481788635254, 9.713926315307617, 9.716143608093262, 8.681358337402344, 8.681370735168457, 8.681343078613281, 8.681295394897461, 8.68130111694336, 7.831275463104248, 7.831275463104248, 7.831275463104248, 7.8312602043151855, 7.8312482833862305, 7.647170066833496, 7.646430492401123, 7.6446452140808105, 7.642475128173828, 7.641509056091309, 7.573927879333496, 7.57392692565918, 7.573851108551025, 7.573919296264648, 7.573973655700684, 7.482346057891846, 7.482346057891846, 7.482321262359619, 7.4823222160339355, 7.482297420501709, 7.230867862701416, 7.230867862701416, 7.230855464935303, 7.230855464935303, 7.2308454513549805, 7.065526008605957, 7.065526008605957, 7.064886569976807, 7.064886569976807, 7.063148021697998, 8.167743682861328, 8.162260055541992, 8.135045051574707, 8.108592987060547, 8.07348918914795, 9.027085304260254, 9.024959564208984, 9.024578094482422, 9.02627944946289, 9.029769897460938, 8.98312759399414, 9.01719856262207, 9.06307601928711, 9.090836524963379, 9.091015815734863, 8.368009567260742, 8.368301391601562, 8.368630409240723, 8.3688325881958, 8.368831634521484, 7.938010215759277, 7.937447547912598, 7.937533855438232, 7.936578273773193, 7.936020374298096, 8.196403503417969, 8.195066452026367, 8.194177627563477, 8.194676399230957, 8.194670677185059, 8.34591007232666, 8.34987735748291, 8.355613708496094, 8.357213020324707, 8.360523223876953, 7.99187707901001, 7.990814685821533, 7.989443302154541, 7.989455699920654, 7.986445903778076, 8.606559753417969, 9.137558937072754, 9.116764068603516, 9.116764068603516, 9.11960506439209, 8.455057144165039, 8.459665298461914, 8.456489562988281, 8.453498840332031, 8.448067665100098, 9.130976676940918, 9.123702049255371, 9.111702919006348, 9.105401039123535, 9.095603942871094, 9.567334175109863, 9.566034317016602, 9.568024635314941, 9.569969177246094, 9.572704315185547, 9.17863655090332, 9.183250427246094, 9.184611320495605, 9.186216354370117, 9.186263084411621, 8.413884162902832, 8.414161682128906, 8.414240837097168, 8.414299964904785, 8.414068222045898, 9.263055801391602, 9.251544952392578, 9.237375259399414, 9.224308013916016, 9.22804069519043, 9.348780632019043, 9.349015235900879, 9.347372055053711, 9.345549583435059, 9.347858428955078, 9.180356979370117, 9.178756713867188, 9.180975914001465, 9.180956840515137, 9.180965423583984, 10.424663543701172, 10.427772521972656, 10.430859565734863, 10.43086051940918, 10.185833930969238, 10.073187828063965, 9.99415397644043, 9.975229263305664, 9.973159790039062, 9.973735809326172, 9.774208068847656, 9.771899223327637, 9.771660804748535, 9.769829750061035, 9.771045684814453, 9.627348899841309, 9.63037109375, 9.629310607910156, 9.63222599029541, 9.63139820098877, 9.211955070495605, 9.216300010681152, 9.217794418334961, 9.22046947479248, 9.221796989440918, 8.394261360168457, 8.394286155700684, 8.394454002380371, 8.39447021484375, 8.394526481628418, 7.600956916809082, 7.600795269012451, 7.600956439971924, 7.6010870933532715, 7.60108757019043, 7.622491359710693, 7.6211323738098145, 7.618452548980713, 7.61238956451416, 7.613844394683838, 7.6083807945251465, 7.613742828369141, 7.615571975708008, 7.618699550628662, 7.621718406677246, 7.092916488647461, 7.092957496643066, 7.092855453491211, 7.093013763427734, 7.093025207519531, 6.539121627807617, 6.5390849113464355, 6.539084434509277, 6.539121150970459, 6.539121150970459, 6.481607913970947, 6.482688903808594, 6.480233669281006, 6.474568843841553, 6.474568843841553, 7.085498332977295, 7.082214832305908, 7.0759172439575195, 7.080456733703613, 7.080456256866455, 7.416007041931152, 7.416041374206543, 7.416025638580322, 7.415936470031738, 7.415994167327881, 7.536162853240967, 7.5497517585754395, 7.559013843536377, 7.564366817474365, 7.569172382354736, 6.9301910400390625, 6.930225849151611, 6.9301910400390625, 6.930325031280518, 6.930337905883789, 7.591388702392578, 7.5833353996276855, 7.569423198699951, 7.553817272186279, 7.518860816955566, 7.980943202972412, 7.981236934661865, 7.981435298919678, 7.981674671173096, 7.9811577796936035, 8.198079109191895, 8.199317932128906, 8.20030689239502, 8.20335865020752, 8.205055236816406, 7.819729328155518, 7.819735050201416, 7.820380210876465, 7.820396900177002, 7.820407390594482, 7.40023946762085, 7.400265216827393, 7.400266170501709, 7.400266170501709, 7.400265693664551, 7.091230869293213, 7.09139347076416, 7.09139347076416, 7.091230869293213, 7.091250419616699, 8.313677787780762, 7.880083084106445, 8.32590103149414, 8.323992729187012, 8.310139656066895, 7.560210227966309, 7.55805778503418, 7.559508323669434, 7.559312343597412, 7.5596442222595215, 6.993502140045166, 6.994071960449219, 6.994332313537598, 6.996364116668701, 6.996322154998779, 6.72544002532959, 6.725442409515381, 6.725273609161377, 6.7254509925842285, 6.725070476531982, 6.953977584838867, 6.952546119689941, 6.95397424697876, 6.952365398406982, 6.951176166534424, 7.124059200286865, 7.124050617218018, 7.124085903167725, 7.124074935913086, 7.123901844024658, 6.850291728973389]' has dtype incompatible with int64, please explicitly cast to a compatible dtype first. df_train_and_test.loc[df_train_and_test.index[history_length:], "preds"] = end_tensor.numpy().tolist() Current historical dataframe Unnamed: 0 agency_cd site_no ... temp original_index preds 8138 8138 USGS 1037000 ... 21.1 8138 0.000000 8139 8139 USGS 1037000 ... 18.3 8139 0.000000 8140 8140 USGS 1037000 ... 16.7 8140 0.000000 8141 8141 USGS 1037000 ... 16.7 8141 0.000000 8142 8142 USGS 1037000 ... 16.1 8142 0.000000 ... ... ... ... ... ... ... ... 8474 8474 USGS 1037000 ... 13.9 8474 7.124051 8475 8475 USGS 1037000 ... 12.8 8475 7.124086 8476 8476 USGS 1037000 ... 12.8 8476 7.124075 8477 8477 USGS 1037000 ... 13.3 8477 7.123902 8478 8478 USGS 1037000 ... 12.2 8478 6.850292 [341 rows x 14 columns] /home/circleci/repo/flood_forecast/explain_model_output.py:118: UserWarning: Named tensors and all their associated APIs are an experimental feature and subject to change. Please do not use them for anything important until they are released as stable. (Triggered internally at /pytorch/c10/core/TensorImpl.h:1939.) shap_values = torch.tensor( plotting with CI now Now plotting final plots Process is now complete. wandb: wandb: 🚀 View run flood_forecast_circleci at:  wandb: Find logs at: wandb/run-20250919_000842-s74bxmzg/logs running trainer_full_transformer_test loaded dicts /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/transformer.py:392: UserWarning: enable_nested_tensor is True, but self.use_nested_tensor is False because encoder_layer.self_attn.batch_first was not True(use batch_first for better inference performance) warnings.warn( interpolate should be below Index(['Unnamed: 0', 'agency_cd', 'site_no', 'datetime', 'tz_cd', 'cfs', '65564_00060_cd', '65565_00065', '65565_00065_cd', 'date', 'precip', 'temp'], dtype='object') [] scaled cols are ['cfs', 'precip', 'temp'] scaling now interpolate should be below Index(['Unnamed: 0', 'agency_cd', 'site_no', 'datetime', 'tz_cd', 'cfs', '65564_00060_cd', '65565_00065', '65565_00065_cd', 'date', 'precip', 'temp'], dtype='object') [] scaled cols are ['cfs', 'precip', 'temp'] scaling now interpolate should be below Index(['Unnamed: 0', 'agency_cd', 'site_no', 'datetime', 'tz_cd', 'cfs', '65564_00060_cd', '65565_00065', '65565_00065_cd', 'date', 'precip', 'temp'], dtype='object') [] scaled cols are ['cfs', 'precip', 'temp'] scaling now wandb: Currently logged in as: igodfried to https://api.wandb.ai. Use `wandb login --relogin` to force relogin wandb: Tracking run with wandb version 0.22.0 wandb: Run data is saved locally in /home/circleci/repo/wandb/run-20250919_001245-voenst0y wandb: Run `wandb offline` to turn off syncing. wandb: Syncing run flood_forecast_circleci wandb: ⭐️ View project at https://wandb.ai/igodfried/repo-flood_forecast wandb: 🚀 View run at https://wandb.ai/igodfried/repo-flood_forecast/runs/voenst0y Torch is using cpu running torch_single_train The running loss iss: 39.642284088768065 The number of items in train is: 47 The loss for epoch 0 0.843452852952512 Computing validation loss running torch_single_train The running loss iss: 69.51333707058802 The number of items in train is: 47 The loss for epoch 1 1.4790071717146387 Computing validation loss running torch_single_train The running loss iss: 88.5397763303481 The number of items in train is: 47 The loss for epoch 2 1.8838250283052789 Computing validation loss running torch_single_train The running loss iss: 85.72661319654435 The number of items in train is: 47 The loss for epoch 3 1.8239704935434968 Computing validation loss 1 Computing validation loss test loss: 42.10269541735761 This model is currently forecasting for: 1 targets interpolate should be below Index(['Unnamed: 0', 'agency_cd', 'site_no', 'datetime', 'tz_cd', 'cfs', '65564_00060_cd', '65565_00065', '65565_00065_cd', 'date', 'precip', 'temp'], dtype='object') [] scaled cols are ['cfs', 'precip', 'temp'] scaling now CSV Path below tests/test_data/keag_small.csv columns are: Unnamed: 0 agency_cd site_no ... date precip temp 0 0 USGS 1037000 ... 2014-05-01 01:00:00 0.8 3.9 1 1 USGS 1037000 ... 2014-05-01 02:00:00 0.8 3.9 2 2 USGS 1037000 ... 2014-05-01 03:00:00 0.5 3.9 3 3 USGS 1037000 ... 2014-05-01 04:00:00 3.3 3.9 4 4 USGS 1037000 ... 2014-05-01 05:00:00 5.4 3.9 ... ... ... ... ... ... ... ... 8691 8691 USGS 1037000 ... 2016-06-22 20:00:00 0.0 16.1 8692 8692 USGS 1037000 ... 2016-06-22 21:00:00 0.0 15.0 8693 8693 USGS 1037000 ... 2016-06-22 22:00:00 0.0 14.4 8694 8694 USGS 1037000 ... 2016-06-22 23:00:00 0.0 13.9 8695 8695 USGS 1037000 ... 2016-06-23 00:00:00 0.0 13.9 [8696 rows x 12 columns] These are the params {'model_name': 'SimpleTransformer', 'use_decoder': True, 'model_type': 'PyTorch', 'model_params': {'number_time_series': 3, 'seq_length': 10, 'output_seq_len': 2}, 'dataset_params': {'class': 'default', 'training_path': 'tests/test_data/keag_small.csv', 'validation_path': 'tests/test_data/keag_small.csv', 'test_path': 'tests/test_data/keag_small.csv', 'batch_size': 4, 'forecast_history': 10, 'forecast_length': 2, 'train_end': 201, 'valid_start': 201, 'valid_end': 220, 'test_start': 299, 'test_end': 400, 'target_col': ['cfs'], 'relevant_cols': ['cfs', 'precip', 'temp'], 'scaler': 'StandardScaler', 'interpolate': False}, 'early_stopping': {'patience': 2}, 'training_params': {'criterion': 'MSE', 'optimizer': 'Adam', 'optim_params': {}, 'lr': 0.3, 'epochs': 4, 'batch_size': 4, 'shuffle': False}, 'GCS': False, 'wandb': {'name': 'flood_forecast_circleci', 'tags': ['dummy_run', 'circleci'], 'project': 'repo-flood_forecast'}, 'forward_params': {'t': {}}, 'takes_target': True, 'metrics': ['MSE'], 'inference_params': {'datetime_start': '2016-05-31', 'hours_to_forecast': 10, 'test_csv_path': 'tests/test_data/keag_small.csv', 'decoder_params': {'decoder_function': 'greedy_decode', 'unsqueeze_dim': 1}, 'dataset_params': {'file_path': 'tests/test_data/keag_small.csv', 'forecast_history': 10, 'forecast_length': 2, 'relevant_cols': ['cfs', 'precip', 'temp'], 'target_col': ['cfs'], 'scaling': StandardScaler(), 'interpolate_param': False}}, 'run': [{'epoch': 0, 'train_loss': '0.843452852952512', 'validation_loss': '5.955956518650055'}, {'epoch': 1, 'train_loss': '1.4790071717146387', 'validation_loss': '2.367400638759136'}, {'epoch': 2, 'train_loss': '1.8838250283052789', 'validation_loss': '0.6037282645702362'}, {'epoch': 3, 'train_loss': '1.8239704935434968', 'validation_loss': '2.4205020666122437'}]} Un-transforming data /home/circleci/repo/flood_forecast/evaluator.py:141: FutureWarning: Setting an item of incompatible dtype is deprecated and will raise an error in a future version of pandas. Value '[102.43964385986328, 102.43964385986328, 102.43964385986328, 102.43962097167969, 102.43964385986328, 102.43964385986328, 102.43965148925781, 102.43965148925781, 102.43964385986328, 102.43964385986328]' has dtype incompatible with int64, please explicitly cast to a compatible dtype first. df_train_and_test.loc[df_train_and_test.index[history_length:], "preds"] = end_tensor_list /home/circleci/repo/flood_forecast/evaluator.py:143: FutureWarning: Setting an item of incompatible dtype is deprecated and will raise an error in a future version of pandas. Value '[102.43964385986328, 102.43964385986328, 102.43964385986328, 102.43962097167969, 102.43964385986328, 102.43964385986328, 102.43965148925781, 102.43965148925781, 102.43964385986328, 102.43964385986328]' has dtype incompatible with int64, please explicitly cast to a compatible dtype first. df_train_and_test.loc[df_train_and_test.index[history_length:], Current historical dataframe Unnamed: 0 agency_cd site_no ... original_index preds pred_cfs 8133 8133 USGS 1037000 ... 8133 0.000000 0.000000 8134 8134 USGS 1037000 ... 8134 0.000000 0.000000 8135 8135 USGS 1037000 ... 8135 0.000000 0.000000 8136 8136 USGS 1037000 ... 8136 0.000000 0.000000 8137 8137 USGS 1037000 ... 8137 0.000000 0.000000 8138 8138 USGS 1037000 ... 8138 0.000000 0.000000 8139 8139 USGS 1037000 ... 8139 0.000000 0.000000 8140 8140 USGS 1037000 ... 8140 0.000000 0.000000 8141 8141 USGS 1037000 ... 8141 0.000000 0.000000 8142 8142 USGS 1037000 ... 8142 0.000000 0.000000 8143 8143 USGS 1037000 ... 8143 102.439644 102.439644 8144 8144 USGS 1037000 ... 8144 102.439644 102.439644 8145 8145 USGS 1037000 ... 8145 102.439644 102.439644 8146 8146 USGS 1037000 ... 8146 102.439621 102.439621 8147 8147 USGS 1037000 ... 8147 102.439644 102.439644 8148 8148 USGS 1037000 ... 8148 102.439644 102.439644 8149 8149 USGS 1037000 ... 8149 102.439651 102.439651 8150 8150 USGS 1037000 ... 8150 102.439651 102.439651 8151 8151 USGS 1037000 ... 8151 102.439644 102.439644 8152 8152 USGS 1037000 ... 8152 102.439644 102.439644 [20 rows x 15 columns] SimpleTransformer currently not supported. SimpleTransformer currently not supported. Now plotting final plots Process is now complete. wandb: wandb: 🚀 View run flood_forecast_circleci at:  wandb: Find logs at: wandb/run-20250919_001245-voenst0y/logs running da_rnn_test loaded dicts interpolate should be below Index(['Unnamed: 0', 'agency_cd', 'site_no', 'datetime', 'tz_cd', 'cfs', '65564_00060_cd', '65565_00065', '65565_00065_cd', 'date', 'precip', 'temp'], dtype='object') [] scaled cols are ['cfs', 'precip', 'temp'] scaling now interpolate should be below Index(['Unnamed: 0', 'agency_cd', 'site_no', 'datetime', 'tz_cd', 'cfs', '65564_00060_cd', '65565_00065', '65565_00065_cd', 'date', 'precip', 'temp'], dtype='object') [] scaled cols are ['cfs', 'precip', 'temp'] scaling now interpolate should be below Index(['Unnamed: 0', 'agency_cd', 'site_no', 'datetime', 'tz_cd', 'cfs', '65564_00060_cd', '65565_00065', '65565_00065_cd', 'date', 'precip', 'temp'], dtype='object') [] scaled cols are ['cfs', 'precip', 'temp'] scaling now wandb: Currently logged in as: igodfried to https://api.wandb.ai. Use `wandb login --relogin` to force relogin wandb: Tracking run with wandb version 0.22.0 wandb: Run data is saved locally in /home/circleci/repo/wandb/run-20250919_001934-dt8at3qx wandb: Run `wandb offline` to turn off syncing. wandb: Syncing run flood_forecast_circleci wandb: ⭐️ View project at https://wandb.ai/igodfried/repo-flood_forecast wandb: 🚀 View run at https://wandb.ai/igodfried/repo-flood_forecast/runs/dt8at3qx Torch is using cpu Using generic dataset params running torch_single_train /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 4, 1])) that is different to the input size (torch.Size([4, 4, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) The running loss iss: 39.409943202510476 The number of items in train is: 74 The loss for epoch 0 0.5325668000339253 Computing validation loss /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 4])) that is different to the input size (torch.Size([1, 1, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 4, 1])) that is different to the input size (torch.Size([4, 4, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 4])) that is different to the input size (torch.Size([1, 1, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 4, 1])) that is different to the input size (torch.Size([4, 4, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 4])) that is different to the input size (torch.Size([1, 1, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 4, 1])) that is different to the input size (torch.Size([4, 4, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 4])) that is different to the input size (torch.Size([1, 1, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 4, 1])) that is different to the input size (torch.Size([4, 4, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 4])) that is different to the input size (torch.Size([1, 1, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 4, 1])) that is different to the input size (torch.Size([4, 4, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 4])) that is different to the input size (torch.Size([1, 1, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 4, 1])) that is different to the input size (torch.Size([4, 4, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 4])) that is different to the input size (torch.Size([1, 1, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 4, 1])) that is different to the input size (torch.Size([4, 4, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 4])) that is different to the input size (torch.Size([1, 1, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 4, 1])) that is different to the input size (torch.Size([4, 4, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 4])) that is different to the input size (torch.Size([1, 1, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 4, 1])) that is different to the input size (torch.Size([4, 4, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 4])) that is different to the input size (torch.Size([1, 1, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 4, 1])) that is different to the input size (torch.Size([4, 4, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 4])) that is different to the input size (torch.Size([1, 1, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 4, 1])) that is different to the input size (torch.Size([4, 4, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 4])) that is different to the input size (torch.Size([1, 1, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 4, 1])) that is different to the input size (torch.Size([4, 4, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 4])) that is different to the input size (torch.Size([1, 1, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 4, 1])) that is different to the input size (torch.Size([4, 4, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 4])) that is different to the input size (torch.Size([1, 1, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 4, 1])) that is different to the input size (torch.Size([4, 4, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 4])) that is different to the input size (torch.Size([1, 1, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 4, 1])) that is different to the input size (torch.Size([4, 4, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 4])) that is different to the input size (torch.Size([1, 1, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 4, 1])) that is different to the input size (torch.Size([4, 4, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 4])) that is different to the input size (torch.Size([1, 1, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 4, 1])) that is different to the input size (torch.Size([4, 4, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 4])) that is different to the input size (torch.Size([1, 1, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 4, 1])) that is different to the input size (torch.Size([4, 4, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 4])) that is different to the input size (torch.Size([1, 1, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 4, 1])) that is different to the input size (torch.Size([4, 4, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 4])) that is different to the input size (torch.Size([1, 1, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 4, 1])) that is different to the input size (torch.Size([4, 4, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 4])) that is different to the input size (torch.Size([1, 1, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 4, 1])) that is different to the input size (torch.Size([4, 4, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 4])) that is different to the input size (torch.Size([1, 1, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 4, 1])) that is different to the input size (torch.Size([4, 4, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 4])) that is different to the input size (torch.Size([1, 1, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 4, 1])) that is different to the input size (torch.Size([4, 4, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) Computing validation loss /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/loss.py:129: UserWarning: Using a target size (torch.Size([1, 1, 1])) that is different to the input size (torch.Size([1, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.l1_loss(input, target, reduction=self.reduction) test loss: 687.3983984042425 This model is currently forecasting for: 1 targets interpolate should be below Index(['Unnamed: 0', 'agency_cd', 'site_no', 'datetime', 'tz_cd', 'cfs', '65564_00060_cd', '65565_00065', '65565_00065_cd', 'date', 'precip', 'temp'], dtype='object') [] scaled cols are ['cfs', 'precip', 'temp'] scaling now CSV Path below tests/test_data/keag_small.csv columns are: Unnamed: 0 agency_cd site_no ... date precip temp 0 0 USGS 1037000 ... 2014-05-01 01:00:00 0.8 3.9 1 1 USGS 1037000 ... 2014-05-01 02:00:00 0.8 3.9 2 2 USGS 1037000 ... 2014-05-01 03:00:00 0.5 3.9 3 3 USGS 1037000 ... 2014-05-01 04:00:00 3.3 3.9 4 4 USGS 1037000 ... 2014-05-01 05:00:00 5.4 3.9 ... ... ... ... ... ... ... ... 8691 8691 USGS 1037000 ... 2016-06-22 20:00:00 0.0 16.1 8692 8692 USGS 1037000 ... 2016-06-22 21:00:00 0.0 15.0 8693 8693 USGS 1037000 ... 2016-06-22 22:00:00 0.0 14.4 8694 8694 USGS 1037000 ... 2016-06-22 23:00:00 0.0 13.9 8695 8695 USGS 1037000 ... 2016-06-23 00:00:00 0.0 13.9 [8696 rows x 12 columns] These are the params {'model_name': 'DARNN', 'model_type': 'PyTorch', 'model_params': {'n_time_series': 3, 'hidden_size_encoder': 128, 'decoder_hidden_size': 128, 'out_feats': 1, 'forecast_history': 6, 'gru_lstm': False}, 'dataset_params': {'class': 'default', 'training_path': 'tests/test_data/keag_small.csv', 'validation_path': 'tests/test_data/keag_small.csv', 'test_path': 'tests/test_data/keag_small.csv', 'batch_size': 4, 'forecast_history': 5, 'forecast_length': 1, 'train_end': 300, 'valid_start': 301, 'valid_end': 401, 'test_end': 500, 'target_col': ['cfs'], 'relevant_cols': ['cfs', 'precip', 'temp'], 'scaler': 'StandardScaler', 'interpolate': False}, 'training_params': {'criterion': 'MASELoss', 'optimizer': 'Adam', 'optim_params': {}, 'criterion_params': {'baseline_method': 'mean'}, 'lr': 0.3, 'epochs': 1, 'batch_size': 4, 'shuffle': False}, 'GCS': False, 'wandb': {'name': 'flood_forecast_circleci', 'tags': ['dummy_run', 'circleci', 'da_revised'], 'project': 'repo-flood_forecast'}, 'forward_params': {}, 'metrics': {'MASELoss': {'baseline_method': 'mean'}}, 'inference_params': {'num_prediction_samples': 10, 'criterion_params': {'baseline_method': 'mean'}, 'datetime_start': '2016-05-31', 'hours_to_forecast': 336, 'test_csv_path': 'tests/test_data/keag_small.csv', 'decoder_params': {'decoder_function': 'simple_decode', 'unsqueeze_dim': 1}, 'dataset_params': {'forecast_history': 5, 'forecast_length': 1, 'target_col': ['cfs'], 'relevant_cols': ['cfs', 'precip', 'temp'], 'interpolate_param': False, 'scaling': StandardScaler()}}, 'run': [{'epoch': 0, 'train_loss': '0.5325668000339253', 'validation_loss': '97.6369688808918'}]} Un-transforming data /home/circleci/repo/flood_forecast/evaluator.py:141: FutureWarning: Setting an item of incompatible dtype is deprecated and will raise an error in a future version of pandas. Value '[-75.3719482421875, -89.05894470214844, -102.70225524902344, -113.26026916503906, -120.93589782714844, -126.36607360839844, -128.71119689941406, -130.3717498779297, -131.4538116455078, -132.02064514160156, -132.1761016845703, -132.0189971923828, -131.6383819580078, -131.0867462158203, -130.7054901123047, -130.44468688964844, -130.21302795410156, -130.0226287841797, -129.85511779785156, -129.7548370361328, -129.72511291503906, -129.77635192871094, -129.96620178222656, -130.2606964111328, -130.6332550048828, -131.02894592285156, -131.3988494873047, -131.7176055908203, -132.0843048095703, -132.3964385986328, -132.63819885253906, -132.75938415527344, -132.87266540527344, -132.79176330566406, -132.7066192626953, -132.5036163330078, -132.2429656982422, -131.9627227783203, -131.66978454589844, -131.4335479736328, -131.2155303955078, -131.04017639160156, -130.8882598876953, -130.80638122558594, -130.8096160888672, -130.9347381591797, -131.1573944091797, -131.53282165527344, 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-133.0030975341797, -133.07823181152344, -133.14707946777344, -133.2334747314453, -133.31251525878906, -133.3739471435547, -133.44212341308594, -133.47523498535156, -133.5003204345703, -133.09739685058594, -132.8838348388672, -132.73204040527344, -132.59739685058594, -132.4024200439453, -132.4751434326172, -132.11256408691406, -131.6792755126953, -131.2976531982422, -130.9990997314453, -130.86753845214844, -129.58326721191406, -125.99461364746094, -124.84675598144531, -124.77018737792969, -125.46952819824219, -127.64430236816406, -131.2919158935547, -131.8729705810547, -132.39906311035156, -132.8316192626953, -133.1723175048828, -133.38865661621094, -133.49476623535156, -133.52040100097656, -133.4909210205078, -133.41001892089844, -133.2823028564453, -133.0652313232422, -132.8470916748047, -132.6246795654297, -132.39833068847656, -132.3128204345703, -132.32899475097656, -132.3737335205078, -132.4815216064453, -132.68089294433594, -131.2803497314453, -129.07237243652344, -126.62513732910156, -121.57014465332031, -113.17268371582031, -108.46504211425781, -101.63169860839844, -99.23136901855469, -110.16938781738281, -121.13484191894531, -124.52461242675781, -127.11051940917969, -129.4020233154297, -131.2154998779297, -131.8969268798828, -132.20802307128906, -132.2998504638672, -132.2170867919922, -132.01622009277344, -131.74864196777344, -131.4815216064453, -131.2992706298828, -131.18727111816406, -131.2091827392578, -131.3240203857422, -131.57789611816406, -131.8768768310547, -132.2009735107422, -132.4928741455078, -132.7261199951172, -132.9200897216797, -133.12342834472656, -133.32875061035156, -133.53074645996094, -133.5837860107422, -133.46827697753906, -133.1803741455078, -132.70164489746094, -132.18580627441406, -131.7958526611328, -131.18775939941406, -128.04454040527344, -122.96656799316406, -119.06031799316406, -117.21977233886719, -117.55928039550781, -121.26960754394531, -126.20674133300781, -127.80583190917969, -128.1022186279297, 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has dtype incompatible with int64, please explicitly cast to a compatible dtype first. df_train_and_test.loc[df_train_and_test.index[history_length:], "preds"] = end_tensor_list /home/circleci/repo/flood_forecast/evaluator.py:143: FutureWarning: Setting an item of incompatible dtype is deprecated and will raise an error in a future version of pandas. 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has dtype incompatible with int64, please explicitly cast to a compatible dtype first. df_train_and_test.loc[df_train_and_test.index[history_length:], Current historical dataframe Unnamed: 0 agency_cd site_no ... original_index preds pred_cfs 8138 8138 USGS 1037000 ... 8138 0.000000 0.000000 8139 8139 USGS 1037000 ... 8139 0.000000 0.000000 8140 8140 USGS 1037000 ... 8140 0.000000 0.000000 8141 8141 USGS 1037000 ... 8141 0.000000 0.000000 8142 8142 USGS 1037000 ... 8142 0.000000 0.000000 ... ... ... ... ... ... ... ... 8474 8474 USGS 1037000 ... 8474 -132.689621 -132.689621 8475 8475 USGS 1037000 ... 8475 -132.543961 -132.543961 8476 8476 USGS 1037000 ... 8476 -132.606644 -132.606644 8477 8477 USGS 1037000 ... 8477 -132.787003 -132.787003 8478 8478 USGS 1037000 ... 8478 -132.952652 -132.952652 [341 rows x 15 columns] /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/shap/explainers/_deep/deep_pytorch.py:255: UserWarning: unrecognized nn.Module: GRU warnings.warn(f"unrecognized nn.Module: {module_type}") /home/circleci/repo/flood_forecast/explain_model_output.py:118: UserWarning: Named tensors and all their associated APIs are an experimental feature and subject to change. Please do not use them for anything important until they are released as stable. (Triggered internally at /pytorch/c10/core/TensorImpl.h:1939.) shap_values = torch.tensor( /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/shap/explainers/_deep/deep_pytorch.py:255: UserWarning: unrecognized nn.Module: GRU plotting with CI now Now plotting final plots Process is now complete. wandb: wandb: 🚀 View run flood_forecast_circleci at:  wandb: Find logs at: wandb/run-20250919_001934-dt8at3qx/logs running auto_encoder loaded dicts interpolate should be below Index(['Unnamed: 0', 'agency_cd', 'site_no', 'datetime', 'tz_cd', 'cfs', '65564_00060_cd', '65565_00065', '65565_00065_cd', 'date', 'precip', 'temp'], dtype='object') [] scaled cols are ['cfs', 'precip', 'temp'] scaling now interpolate should be below Index(['Unnamed: 0', 'agency_cd', 'site_no', 'datetime', 'tz_cd', 'cfs', '65564_00060_cd', '65565_00065', '65565_00065_cd', 'date', 'precip', 'temp'], dtype='object') [] scaled cols are ['cfs', 'precip', 'temp'] scaling now interpolate should be below Index(['Unnamed: 0', 'agency_cd', 'site_no', 'datetime', 'tz_cd', 'cfs', '65564_00060_cd', '65565_00065', '65565_00065_cd', 'date', 'precip', 'temp'], dtype='object') [] scaled cols are ['cfs', 'precip', 'temp'] scaling now wandb: Currently logged in as: igodfried to https://api.wandb.ai. Use `wandb login --relogin` to force relogin wandb: Tracking run with wandb version 0.22.0 wandb: Run data is saved locally in /home/circleci/repo/wandb/run-20250919_002350-6jgmim3u wandb: Run `wandb offline` to turn off syncing. wandb: Syncing run flood_forecast_circleci wandb: ⭐️ View project at https://wandb.ai/igodfried/repo-flood_forecast wandb: 🚀 View run at https://wandb.ai/igodfried/repo-flood_forecast/runs/6jgmim3u Torch is using cpu running torch_single_train The running loss iss: 23.399172358214855 The number of items in train is: 25 The loss for epoch 0 0.9359668943285943 Computing validation loss Computing validation loss test loss: 7293.758870920399 Meta-training of model is now complete. wandb: wandb: 🚀 View run flood_forecast_circleci at:  wandb: Find logs at: wandb/run-20250919_002350-6jgmim3u/logs running trainer_decoder_test loaded dicts /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/torch/nn/modules/transformer.py:392: UserWarning: enable_nested_tensor is True, but self.use_nested_tensor is False because encoder_layer.self_attn.batch_first was not True(use batch_first for better inference performance) warnings.warn( interpolate should be below Index(['Unnamed: 0', 'agency_cd', 'site_no', 'datetime', 'tz_cd', 'cfs', '65564_00060_cd', '65565_00065', '65565_00065_cd', 'date', 'precip', 'temp'], dtype='object') [] scaled cols are ['cfs', 'precip', 'temp'] scaling now interpolate should be below Index(['Unnamed: 0', 'agency_cd', 'site_no', 'datetime', 'tz_cd', 'cfs', '65564_00060_cd', '65565_00065', '65565_00065_cd', 'date', 'precip', 'temp'], dtype='object') [] scaled cols are ['cfs', 'precip', 'temp'] scaling now interpolate should be below Index(['Unnamed: 0', 'agency_cd', 'site_no', 'datetime', 'tz_cd', 'cfs', '65564_00060_cd', '65565_00065', '65565_00065_cd', 'date', 'precip', 'temp'], dtype='object') [] scaled cols are ['cfs', 'precip', 'temp'] scaling now wandb: Currently logged in as: igodfried to https://api.wandb.ai. Use `wandb login --relogin` to force relogin wandb: Tracking run with wandb version 0.22.0 wandb: Run data is saved locally in /home/circleci/repo/wandb/run-20250919_002456-in7bbnye wandb: Run `wandb offline` to turn off syncing. wandb: Syncing run flood_forecast_circleci wandb: ⭐️ View project at https://wandb.ai/igodfried/repo-flood_forecast wandb: 🚀 View run at https://wandb.ai/igodfried/repo-flood_forecast/runs/in7bbnye Torch is using cpu running torch_single_train diff tensor([[-2.6425], [-2.4418], [-2.3472], [-2.3763]], grad_fn=) std_dev tensor(0.1330, grad_fn=) var_penalty tensor(0., grad_fn=) diff tensor([[2.3054], [2.4274], [2.4403], [2.6927]], grad_fn=) std_dev tensor(0.1626, grad_fn=) var_penalty tensor(0., grad_fn=) diff tensor([[1.5562], [1.6929], [1.8788], [1.9892]], grad_fn=) std_dev tensor(0.1925, grad_fn=) var_penalty tensor(0., grad_fn=) diff tensor([[0.5986], [0.6952], [0.9492], [1.0323]], grad_fn=) std_dev tensor(0.2052, grad_fn=) var_penalty tensor(0., grad_fn=) diff tensor([[-0.5632], [-0.2468], [-0.2465], [-0.0636]], grad_fn=) std_dev tensor(0.2076, grad_fn=) var_penalty tensor(0., grad_fn=) diff tensor([[0.0860], [0.1932], [0.2998], [0.6050]], grad_fn=) std_dev tensor(0.2237, grad_fn=) var_penalty tensor(0., grad_fn=) diff tensor([[0.1281], [0.1908], [0.1592], [0.2033]], grad_fn=) std_dev tensor(0.0337, grad_fn=) var_penalty tensor(0., grad_fn=) diff tensor([[-0.3460], [-0.4014], [-0.4921], [-0.6603]], grad_fn=) std_dev tensor(0.1375, grad_fn=) var_penalty tensor(0., grad_fn=) diff tensor([[-0.5844], [-0.6037], [-0.5456], [-0.6202]], grad_fn=) std_dev tensor(0.0321, grad_fn=) var_penalty tensor(0., grad_fn=) diff tensor([[-0.5672], [-0.4998], [-0.5686], [-0.7277]], grad_fn=) std_dev tensor(0.0967, grad_fn=) var_penalty tensor(0., grad_fn=) diff tensor([[-0.3696], [-0.4565], [-0.4253], [-0.5675]], grad_fn=) std_dev tensor(0.0833, grad_fn=) var_penalty tensor(0., grad_fn=) diff tensor([[-0.0740], [-0.0781], [-0.2725], [-0.2883]], grad_fn=) std_dev tensor(0.1181, grad_fn=) var_penalty tensor(0., grad_fn=) diff tensor([[0.2748], [0.2391], [0.1659], [0.0544]], grad_fn=) std_dev tensor(0.0973, grad_fn=) var_penalty tensor(0., grad_fn=) diff tensor([[0.3285], [0.1956], [0.1170], [0.0524]], grad_fn=) std_dev tensor(0.1188, grad_fn=) var_penalty tensor(0., grad_fn=) diff tensor([[-0.0477], [ 0.0002], [ 0.0347], [-0.1409]], grad_fn=) std_dev tensor(0.0762, grad_fn=) var_penalty tensor(0., grad_fn=) diff tensor([[-0.0620], [-0.1919], [-0.2257], [-0.2247]], grad_fn=) std_dev tensor(0.0777, grad_fn=) var_penalty tensor(0., grad_fn=) diff tensor([[-0.0645], [-0.0499], [-0.2193], [-0.2221]], grad_fn=) std_dev tensor(0.0946, grad_fn=) var_penalty tensor(0., grad_fn=) diff tensor([[ 0.0205], [-0.0532], [-0.1093], [-0.1406]], grad_fn=) std_dev tensor(0.0707, grad_fn=) var_penalty tensor(0., grad_fn=) diff tensor([[0.1671], [0.1169], [0.0296], [0.0800]], grad_fn=) std_dev tensor(0.0581, grad_fn=) var_penalty tensor(0., grad_fn=) diff tensor([[0.1030], [0.0406], [0.0293], [0.0977]], grad_fn=) std_dev tensor(0.0381, grad_fn=) var_penalty tensor(0., grad_fn=) diff tensor([[0.0589], [0.0463], [0.0357], [0.0118]], grad_fn=) std_dev tensor(0.0200, grad_fn=) var_penalty tensor(0., grad_fn=) diff tensor([[-0.1231], [-0.0771], [-0.0812], [-0.0316]], grad_fn=) std_dev tensor(0.0374, grad_fn=) var_penalty tensor(0., grad_fn=) diff tensor([[-0.0010], [ 0.0377], [-0.0249], [ 0.0536]], grad_fn=) std_dev tensor(0.0358, grad_fn=) var_penalty tensor(0., grad_fn=) The running loss iss: 12.120008330792189 The number of items in train is: 24 The loss for epoch 0 0.5050003471163412 Computing validation loss Computing validation loss test loss: 578.8688766437448 This model is currently forecasting for: 1 targets interpolate should be below Index(['Unnamed: 0', 'agency_cd', 'site_no', 'datetime', 'tz_cd', 'cfs', '65564_00060_cd', '65565_00065', '65565_00065_cd', 'date', 'precip', 'temp'], dtype='object') [] scaled cols are ['cfs', 'precip', 'temp'] scaling now CSV Path below tests/test_data/keag_small.csv columns are: Unnamed: 0 agency_cd site_no ... date precip temp 0 0 USGS 1037000 ... 2014-05-01 01:00:00 0.8 3.9 1 1 USGS 1037000 ... 2014-05-01 02:00:00 0.8 3.9 2 2 USGS 1037000 ... 2014-05-01 03:00:00 0.5 3.9 3 3 USGS 1037000 ... 2014-05-01 04:00:00 3.3 3.9 4 4 USGS 1037000 ... 2014-05-01 05:00:00 5.4 3.9 ... ... ... ... ... ... ... ... 8691 8691 USGS 1037000 ... 2016-06-22 20:00:00 0.0 16.1 8692 8692 USGS 1037000 ... 2016-06-22 21:00:00 0.0 15.0 8693 8693 USGS 1037000 ... 2016-06-22 22:00:00 0.0 14.4 8694 8694 USGS 1037000 ... 2016-06-22 23:00:00 0.0 13.9 8695 8695 USGS 1037000 ... 2016-06-23 00:00:00 0.0 13.9 [8696 rows x 12 columns] These are the params {'model_name': 'CustomTransformerDecoder', 'model_type': 'PyTorch', 'model_params': {'n_time_series': 3, 'seq_length': 5, 'output_seq_length': 1, 'n_layers_encoder': 4}, 'dataset_params': {'class': 'default', 'training_path': 'tests/test_data/keag_small.csv', 'validation_path': 'tests/test_data/keag_small.csv', 'test_path': 'tests/test_data/keag_small.csv', 'batch_size': 4, 'forecast_history': 5, 'forecast_length': 1, 'train_end': 100, 'valid_start': 301, 'valid_end': 401, 'test_end': 400, 'target_col': ['cfs'], 'relevant_cols': ['cfs', 'precip', 'temp'], 'scaler': 'StandardScaler', 'interpolate': False}, 'training_params': {'criterion': 'RMSE', 'optimizer': 'Adam', 'optim_params': {}, 'lr': 0.3, 'epochs': 1, 'batch_size': 4, 'shuffle': False}, 'GCS': False, 'wandb': {'name': 'flood_forecast_circleci', 'project': 'repo-flood_forecast', 'tags': ['dummy_run', 'circleci']}, 'forward_params': {}, 'metrics': ['MSE'], 'inference_params': {'datetime_start': '2016-05-31', 'hours_to_forecast': 336, 'test_csv_path': 'tests/test_data/keag_small.csv', 'decoder_params': {'decoder_function': 'simple_decode', 'unsqueeze_dim': 1}, 'dataset_params': {'file_path': 'tests/test_data/keag_small.csv', 'forecast_history': 5, 'forecast_length': 1, 'relevant_cols': ['cfs', 'precip', 'temp'], 'target_col': ['cfs'], 'scaling': StandardScaler(), 'interpolate_param': False}}, 'run': [{'epoch': 0, 'train_loss': '0.5050003471163412', 'validation_loss': '81.5880665583536'}]} Un-transforming data /home/circleci/repo/flood_forecast/evaluator.py:141: FutureWarning: Setting an item of incompatible dtype is deprecated and will raise an error in a future version of pandas. 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-18.006685256958008, -17.998384475708008]' has dtype incompatible with int64, please explicitly cast to a compatible dtype first. df_train_and_test.loc[df_train_and_test.index[history_length:], "preds"] = end_tensor_list /home/circleci/repo/flood_forecast/evaluator.py:143: FutureWarning: Setting an item of incompatible dtype is deprecated and will raise an error in a future version of pandas. 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-18.006685256958008, -17.998384475708008]' has dtype incompatible with int64, please explicitly cast to a compatible dtype first. df_train_and_test.loc[df_train_and_test.index[history_length:], Current historical dataframe Unnamed: 0 agency_cd site_no ... original_index preds pred_cfs 8138 8138 USGS 1037000 ... 8138 0.000000 0.000000 8139 8139 USGS 1037000 ... 8139 0.000000 0.000000 8140 8140 USGS 1037000 ... 8140 0.000000 0.000000 8141 8141 USGS 1037000 ... 8141 0.000000 0.000000 8142 8142 USGS 1037000 ... 8142 0.000000 0.000000 ... ... ... ... ... ... ... ... 8474 8474 USGS 1037000 ... 8474 -18.015612 -18.015612 8475 8475 USGS 1037000 ... 8475 -18.008760 -18.008760 8476 8476 USGS 1037000 ... 8476 -18.004396 -18.004396 8477 8477 USGS 1037000 ... 8477 -18.006685 -18.006685 8478 8478 USGS 1037000 ... 8478 -17.998384 -17.998384 [341 rows x 15 columns] /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/shap/explainers/_deep/deep_pytorch.py:255: UserWarning: unrecognized nn.Module: LayerNorm warnings.warn(f"unrecognized nn.Module: {module_type}") /home/circleci/repo/flood_forecast/explain_model_output.py:118: UserWarning: Named tensors and all their associated APIs are an experimental feature and subject to change. Please do not use them for anything important until they are released as stable. (Triggered internally at /pytorch/c10/core/TensorImpl.h:1939.) shap_values = torch.tensor( /home/circleci/.pyenv/versions/3.11.13/lib/python3.11/site-packages/shap/explainers/_deep/deep_pytorch.py:255: UserWarning: unrecognized nn.Module: LayerNorm Now plotting final plots Process is now complete. wandb: wandb: 🚀 View run flood_forecast_circleci at:  wandb: Find logs at: wandb/run-20250919_002456-in7bbnye/logs