<filename>fastai2/_nbdev.py
# AUTOGENERATED BY NBDEV! DO NOT EDIT!

__all__ = ["index", "modules", "custom_doc_links", "git_url"]

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         "set_item_pg": "12_optimizer.ipynb",
         "pytorch_hp_map": "12_optimizer.ipynb",
         "OptimWrapper": "12_optimizer.ipynb",
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         "GatherPredsCallback": "13_learner.ipynb",
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         "replacing_yield": "13_learner.ipynb",
         "mk_metric": "13_learner.ipynb",
         "save_model": "13_learner.ipynb",
         "load_model": "13_learner.ipynb",
         "Learner": "13_learner.ipynb",
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         "VerboseCallback": "13_learner.ipynb",
         "Metric": "13_learner.ipynb",
         "AvgMetric": "13_learner.ipynb",
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         "Learner.freeze": "13_learner.ipynb",
         "Learner.unfreeze": "13_learner.ipynb",
         "Learner.export": "13_learner.ipynb",
         "Learner.tta": "13_learner.ipynb",
         "flatten_check": "13a_metrics.ipynb",
         "AccumMetric": "13a_metrics.ipynb",
         "skm_to_fastai": "13a_metrics.ipynb",
         "optim_metric": "13a_metrics.ipynb",
         "accuracy": "13a_metrics.ipynb",
         "error_rate": "13a_metrics.ipynb",
         "top_k_accuracy": "13a_metrics.ipynb",
         "APScore": "13a_metrics.ipynb",
         "BalancedAccuracy": "13a_metrics.ipynb",
         "BrierScore": "13a_metrics.ipynb",
         "CohenKappa": "13a_metrics.ipynb",
         "F1Score": "13a_metrics.ipynb",
         "FBeta": "13a_metrics.ipynb",
         "HammingLoss": "13a_metrics.ipynb",
         "Jaccard": "13a_metrics.ipynb",
         "MatthewsCorrCoef": "13a_metrics.ipynb",
         "Precision": "13a_metrics.ipynb",
         "Recall": "13a_metrics.ipynb",
         "RocAuc": "13a_metrics.ipynb",
         "Perplexity": "13a_metrics.ipynb",
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         "FBetaMulti": "13a_metrics.ipynb",
         "HammingLossMulti": "13a_metrics.ipynb",
         "JaccardMulti": "13a_metrics.ipynb",
         "MatthewsCorrCoefMulti": "13a_metrics.ipynb",
         "PrecisionMulti": "13a_metrics.ipynb",
         "RecallMulti": "13a_metrics.ipynb",
         "RocAucMulti": "13a_metrics.ipynb",
         "mse": "13a_metrics.ipynb",
         "rmse": "13a_metrics.ipynb",
         "rmse.__doc__": "13a_metrics.ipynb",
         "mae": "13a_metrics.ipynb",
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         "ExplainedVariance": "13a_metrics.ipynb",
         "R2Score": "13a_metrics.ipynb",
         "foreground_acc": "13a_metrics.ipynb",
         "Dice": "13a_metrics.ipynb",
         "JaccardCoeff": "13a_metrics.ipynb",
         "LossMetric": "13a_metrics.ipynb",
         "LossMetrics": "13a_metrics.ipynb",
         "annealer": "14_callback.schedule.ipynb",
         "SchedLin": "14_callback.schedule.ipynb",
         "SchedCos": "14_callback.schedule.ipynb",
         "SchedNo": "14_callback.schedule.ipynb",
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         "SchedExp.__doc__": "14_callback.schedule.ipynb",
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         "combine_scheds": "14_callback.schedule.ipynb",
         "combined_cos": "14_callback.schedule.ipynb",
         "ParamScheduler": "14_callback.schedule.ipynb",
         "Learner.fit_one_cycle": "14_callback.schedule.ipynb",
         "Recorder.plot_sched": "14_callback.schedule.ipynb",
         "Learner.fit_flat_cos": "14_callback.schedule.ipynb",
         "Learner.fit_sgdr": "14_callback.schedule.ipynb",
         "Learner.fine_tune": "14_callback.schedule.ipynb",
         "LRFinder": "14_callback.schedule.ipynb",
         "Recorder.plot_lr_find": "14_callback.schedule.ipynb",
         "Learner.lr_find": "14_callback.schedule.ipynb",
         "CollectDataCallback": "14a_callback.data.ipynb",
         "WeightedDL": "14a_callback.data.ipynb",
         "weighted_databunch": "14a_callback.data.ipynb",
         "Hook": "15_callback.hook.ipynb",
         "hook_output": "15_callback.hook.ipynb",
         "Hooks": "15_callback.hook.ipynb",
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         "ActivationStats": "15_callback.hook.ipynb",
         "UnetBlock": "15a_vision.models.unet.ipynb",
         "ResizeToOrig": "15a_vision.models.unet.ipynb",
         "DynamicUnet": "15a_vision.models.unet.ipynb",
         "ProgressCallback": "16_callback.progress.ipynb",
         "no_bar": "16_callback.progress.ipynb",
         "ShowGraphCallback": "16_callback.progress.ipynb",
         "CSVLogger": "16_callback.progress.ipynb",
         "ShortEpochCallback": "17_callback.tracker.ipynb",
         "TerminateOnNaNCallback": "17_callback.tracker.ipynb",
         "TrackerCallback": "17_callback.tracker.ipynb",
         "EarlyStoppingCallback": "17_callback.tracker.ipynb",
         "SaveModelCallback": "17_callback.tracker.ipynb",
         "ReduceLROnPlateau": "17_callback.tracker.ipynb",
         "get_master": "18_callback.fp16.ipynb",
         "to_master_grads": "18_callback.fp16.ipynb",
         "to_model_params": "18_callback.fp16.ipynb",
         "test_overflow": "18_callback.fp16.ipynb",
         "grad_overflow": "18_callback.fp16.ipynb",
         "copy_clone": "18_callback.fp16.ipynb",
         "ModelToHalf": "18_callback.fp16.ipynb",
         "MixedPrecision": "18_callback.fp16.ipynb",
         "Learner.to_fp16": "18_callback.fp16.ipynb",
         "reduce_loss": "19_callback.mixup.ipynb",
         "MixUp": "19_callback.mixup.ipynb",
         "Interpretation": "20_interpret.ipynb",
         "ClassificationInterpretation": "20_interpret.ipynb",
         "DataParallel.reset": "20a_distributed.ipynb",
         "ParallelTrainer": "20a_distributed.ipynb",
         "Learner.to_parallel": "20a_distributed.ipynb",
         "DistributedDataParallel.reset": "20a_distributed.ipynb",
         "setup_distrib": "20a_distributed.ipynb",
         "DistributedDL": "20a_distributed.ipynb",
         "DistributedTrainer": "20a_distributed.ipynb",
         "Learner.to_distributed": "20a_distributed.ipynb",
         "has_pool_type": "21_vision.learner.ipynb",
         "create_body": "21_vision.learner.ipynb",
         "create_head": "21_vision.learner.ipynb",
         "create_cnn_model": "21_vision.learner.ipynb",
         "cnn_config": "21_vision.learner.ipynb",
         "default_split": "21_vision.learner.ipynb",
         "model_meta": "21_vision.learner.ipynb",
         "cnn_learner": "21_vision.learner.ipynb",
         "unet_config": "21_vision.learner.ipynb",
         "unet_learner": "21_vision.learner.ipynb",
         "show_results": "21_vision.learner.ipynb",
         "GANModule": "24_vision.gan.ipynb",
         "basic_critic": "24_vision.gan.ipynb",
         "AddChannels": "24_vision.gan.ipynb",
         "basic_generator": "24_vision.gan.ipynb",
         "DenseResBlock": "24_vision.gan.ipynb",
         "gan_critic": "24_vision.gan.ipynb",
         "GANLoss": "24_vision.gan.ipynb",
         "AdaptiveLoss": "24_vision.gan.ipynb",
         "accuracy_thresh_expand": "24_vision.gan.ipynb",
         "set_freeze_model": "24_vision.gan.ipynb",
         "GANTrainer": "24_vision.gan.ipynb",
         "FixedGANSwitcher": "24_vision.gan.ipynb",
         "AdaptiveGANSwitcher": "24_vision.gan.ipynb",
         "GANDiscriminativeLR": "24_vision.gan.ipynb",
         "InvisibleTensor": "24_vision.gan.ipynb",
         "generate_noise": "24_vision.gan.ipynb",
         "gan_loss_from_func": "24_vision.gan.ipynb",
         "GANLearner": "24_vision.gan.ipynb",
         "GANLearner.from_learners": "24_vision.gan.ipynb",
         "GANLearner.wgan": "24_vision.gan.ipynb",
         "spec_add_spaces": "30_text.core.ipynb",
         "rm_useless_spaces": "30_text.core.ipynb",
         "replace_rep": "30_text.core.ipynb",
         "replace_wrep": "30_text.core.ipynb",
         "fix_html": "30_text.core.ipynb",
         "replace_all_caps": "30_text.core.ipynb",
         "replace_maj": "30_text.core.ipynb",
         "lowercase": "30_text.core.ipynb",
         "replace_space": "30_text.core.ipynb",
         "defaults.text_spec_tok": "30_text.core.ipynb",
         "defaults.text_proc_rules": "30_text.core.ipynb",
         "defaults.text_postproc_rules": "30_text.core.ipynb",
         "BaseTokenizer": "30_text.core.ipynb",
         "SpacyTokenizer": "30_text.core.ipynb",
         "TokenizeBatch": "30_text.core.ipynb",
         "tokenize1": "30_text.core.ipynb",
         "parallel_tokenize": "30_text.core.ipynb",
         "fn_counter_pkl": "30_text.core.ipynb",
         "tokenize_folder": "30_text.core.ipynb",
         "read_tokenized_file": "30_text.core.ipynb",
         "tokenize_files": "30_text.core.ipynb",
         "tokenize_df": "30_text.core.ipynb",
         "tokenize_csv": "30_text.core.ipynb",
         "load_tokenized_csv": "30_text.core.ipynb",
         "get_tokenizer": "30_text.core.ipynb",
         "Tokenizer": "30_text.core.ipynb",
         "eu_langs": "30_text.core.ipynb",
         "SentencePieceTokenizer": "30_text.core.ipynb",
         "make_vocab": "31_text.data.ipynb",
         "TensorText": "31_text.data.ipynb",
         "LMTensorText": "31_text.data.ipynb",
         "Numericalize": "31_text.data.ipynb",
         "LMDataLoader": "31_text.data.ipynb",
         "TitledStr.truncate": "31_text.data.ipynb",
         "pad_input": "31_text.data.ipynb",
         "SortedDL": "31_text.data.ipynb",
         "TextBlock": "31_text.data.ipynb",
         "TextDataBunch": "31_text.data.ipynb",
         "TextDataBunch.from_csv": "31_text.data.ipynb",
         "dropout_mask": "32_text.models.awdlstm.ipynb",
         "RNNDropout": "32_text.models.awdlstm.ipynb",
         "WeightDropout": "32_text.models.awdlstm.ipynb",
         "EmbeddingDropout": "32_text.models.awdlstm.ipynb",
         "AWD_LSTM": "32_text.models.awdlstm.ipynb",
         "awd_lstm_lm_split": "32_text.models.awdlstm.ipynb",
         "awd_lstm_lm_config": "32_text.models.awdlstm.ipynb",
         "awd_lstm_clas_split": "32_text.models.awdlstm.ipynb",
         "awd_lstm_clas_config": "32_text.models.awdlstm.ipynb",
         "AWD_QRNN": "32_text.models.awdlstm.ipynb",
         "awd_qrnn_lm_config": "32_text.models.awdlstm.ipynb",
         "awd_qrnn_clas_config": "32_text.models.awdlstm.ipynb",
         "LinearDecoder": "33_text.models.core.ipynb",
         "SequentialRNN": "33_text.models.core.ipynb",
         "get_language_model": "33_text.models.core.ipynb",
         "SentenceEncoder": "33_text.models.core.ipynb",
         "masked_concat_pool": "33_text.models.core.ipynb",
         "PoolingLinearClassifier": "33_text.models.core.ipynb",
         "get_text_classifier": "33_text.models.core.ipynb",
         "RNNTrainer": "34_callback.rnn.ipynb",
         "load_cpp": "36_text.models.qrnn.ipynb",
         "forget_mult_cuda": "36_text.models.qrnn.ipynb",
         "bwd_forget_mult_cuda": "36_text.models.qrnn.ipynb",
         "dispatch_cuda": "36_text.models.qrnn.ipynb",
         "forget_mult_CPU": "36_text.models.qrnn.ipynb",
         "ForgetMultGPU": "36_text.models.qrnn.ipynb",
         "QRNNLayer": "36_text.models.qrnn.ipynb",
         "QRNN": "36_text.models.qrnn.ipynb",
         "match_embeds": "37_text.learner.ipynb",
         "load_ignore_keys": "37_text.learner.ipynb",
         "TextLearner": "37_text.learner.ipynb",
         "decode_spec_tokens": "37_text.learner.ipynb",
         "LMLearner": "37_text.learner.ipynb",
         "language_model_learner": "37_text.learner.ipynb",
         "text_classifier_learner": "37_text.learner.ipynb",
         "make_date": "40_tabular.core.ipynb",
         "add_datepart": "40_tabular.core.ipynb",
         "add_elapsed_times": "40_tabular.core.ipynb",
         "cont_cat_split": "40_tabular.core.ipynb",
         "Tabular": "40_tabular.core.ipynb",
         "TabularPandas": "40_tabular.core.ipynb",
         "TabularProc": "40_tabular.core.ipynb",
         "Categorify": "40_tabular.core.ipynb",
         "setups": "40_tabular.core.ipynb",
         "NormalizeTab": "40_tabular.core.ipynb",
         "FillStrategy": "40_tabular.core.ipynb",
         "FillMissing": "40_tabular.core.ipynb",
         "ReadTabBatch": "40_tabular.core.ipynb",
         "TabDataLoader": "40_tabular.core.ipynb",
         "TabularDataBunch": "41_tabular.data.ipynb",
         "TabularLearner": "42_tabular.learner.ipynb",
         "tabular_learner": "42_tabular.learner.ipynb",
         "emb_sz_rule": "43_tabular.model.ipynb",
         "get_emb_sz": "43_tabular.model.ipynb",
         "TabularModel": "43_tabular.model.ipynb",
         "tabular_config": "43_tabular.model.ipynb",
         "TabularCollab": "45_collab.ipynb",
         "CollabDataBunch": "45_collab.ipynb",
         "EmbeddingDotBias": "45_collab.ipynb",
         "EmbeddingNN": "45_collab.ipynb",
         "collab_learner": "45_collab.ipynb",
         "Path.dcmread": "60_medical.imaging.ipynb",
         "pixels": "60_medical.imaging.ipynb",
         "scaled_px": "60_medical.imaging.ipynb",
         "array_freqhist_bins": "60_medical.imaging.ipynb",
         "Tensor.freqhist_bins": "60_medical.imaging.ipynb",
         "Tensor.hist_scaled_pt": "60_medical.imaging.ipynb",
         "Tensor.hist_scaled": "60_medical.imaging.ipynb",
         "DcmDataset.hist_scaled": "60_medical.imaging.ipynb",
         "Tensor.windowed": "60_medical.imaging.ipynb",
         "DcmDataset.windowed": "60_medical.imaging.ipynb",
         "dicom_windows": "60_medical.imaging.ipynb",
         "TensorCTScan": "60_medical.imaging.ipynb",
         "PILCTScan": "60_medical.imaging.ipynb",
         "show": "60_medical.imaging.ipynb",
         "DcmDataset.pct_in_window": "60_medical.imaging.ipynb",
         "uniform_blur2d": "60_medical.imaging.ipynb",
         "gauss_blur2d": "60_medical.imaging.ipynb",
         "Tensor.mask_from_blur": "60_medical.imaging.ipynb",
         "DcmDataset.mask_from_blur": "60_medical.imaging.ipynb",
         "mask2bbox": "60_medical.imaging.ipynb",
         "crop_resize": "60_medical.imaging.ipynb",
         "Tensor.to_nchan": "60_medical.imaging.ipynb",
         "DcmDataset.to_nchan": "60_medical.imaging.ipynb",
         "Tensor.to_3chan": "60_medical.imaging.ipynb",
         "DcmDataset.to_3chan": "60_medical.imaging.ipynb",
         "Tensor.save_jpg": "60_medical.imaging.ipynb",
         "DcmDataset.save_jpg": "60_medical.imaging.ipynb",
         "Tensor.to_uint16": "60_medical.imaging.ipynb",
         "DcmDataset.to_uint16": "60_medical.imaging.ipynb",
         "Tensor.save_tif16": "60_medical.imaging.ipynb",
         "DcmDataset.save_tif16": "60_medical.imaging.ipynb",
         "DcmDataset.set_pixels": "60_medical.imaging.ipynb",
         "DcmDataset.pixel_array": "60_medical.imaging.ipynb",
         "DcmDataset.zoom": "60_medical.imaging.ipynb",
         "DcmDataset.zoom_to": "60_medical.imaging.ipynb",
         "DcmDataset.as_dict": "60_medical.imaging.ipynb",
         "pd.DataFrame.from_dicoms": "60_medical.imaging.ipynb",
         "WandbCallback": "70_callback.wandb.ipynb",
         "wandb_process": "70_callback.wandb.ipynb",
         "TensorBoardCallback": "71_callback.tensorboard.ipynb",
         "tensorboard_log": "71_callback.tensorboard.ipynb",
         "synth_dbunch": "97_test_utils.ipynb",
         "RegModel": "97_test_utils.ipynb",
         "synth_learner": "97_test_utils.ipynb"}

modules = ["torch_core.py",
           "layers.py",
           "data/load.py",
           "data/core.py",
           "data/external.py",
           "data/transforms.py",
           "data/block.py",
           "vision/core.py",
           "vision/data.py",
           "vision/augment.py",
           "vision/utils.py",
           "vision/widgets.py",
           "vision/models/xresnet.py",
           "optimizer.py",
           "learner.py",
           "metrics.py",
           "callback/schedule.py",
           "callback/data.py",
           "callback/hook.py",
           "vision/models/unet.py",
           "callback/progress.py",
           "callback/tracker.py",
           "callback/fp16.py",
           "callback/mixup.py",
           "interpret.py",
           "distributed.py",
           "vision/learner.py",
           "vision/gan.py",
           "text/core.py",
           "text/data.py",
           "text/models/awdlstm.py",
           "text/models/core.py",
           "callback/rnn.py",
           "text/models/qrnn.py",
           "text/learner.py",
           "tabular/core.py",
           "tabular/data.py",
           "tabular/learner.py",
           "tabular/model.py",
           "collab.py",
           "medical/imaging.py",
           "medical/text.py",
           "callback/wandb.py",
           "callback/tensorboard.py",
           "test_utils.py"]

doc_url = "https://dev.fast.ai/"

git_url = "https://github.com/fastai/fastai2/tree/master/"

def custom_doc_links(name): return None

<filename>fastai2/_nbdev.py
# AUTOGENERATED BY NBDEV! DO NOT EDIT!

__all__ = ["index", "modules", "custom_doc_links", "git_url"]

index = {"subplots": "00_torch_core.ipynb",
         "show_image": "00_torch_core.ipynb",
         "show_titled_image": "00_torch_core.ipynb",
         "show_images": "00_torch_core.ipynb",
         "ArrayBase": "00_torch_core.ipynb",
         "ArrayImageBase": "00_torch_core.ipynb",
         "ArrayImage": "00_torch_core.ipynb",
         "ArrayImageBW": "00_torch_core.ipynb",
         "ArrayMask": "00_torch_core.ipynb",
         "Tensor.__array_eq__": "00_torch_core.ipynb",
         "tensor": "00_torch_core.ipynb",
         "set_seed": "00_torch_core.ipynb",
         "unsqueeze": "00_torch_core.ipynb",
         "unsqueeze_": "00_torch_core.ipynb",
         "apply": "00_torch_core.ipynb",
         "maybe_gather": "00_torch_core.ipynb",
         "to_detach": "00_torch_core.ipynb",
         "to_half": "00_torch_core.ipynb",
         "to_float": "00_torch_core.ipynb",
         "defaults.use_cuda": "00_torch_core.ipynb",
         "default_device": "00_torch_core.ipynb",
         "to_device": "00_torch_core.ipynb",
         "to_cpu": "00_torch_core.ipynb",
         "to_np": "00_torch_core.ipynb",
         "to_concat": "00_torch_core.ipynb",
         "Tensor.set_meta": "00_torch_core.ipynb",
         "Tensor.get_meta": "00_torch_core.ipynb",
         "Tensor.as_subclass": "00_torch_core.ipynb",
         "TensorBase": "00_torch_core.ipynb",
         "TensorCategory": "00_torch_core.ipynb",
         "TensorMultiCategory": "00_torch_core.ipynb",
         "TensorImageBase": "00_torch_core.ipynb",
         "TensorImage": "00_torch_core.ipynb",
         "TensorImageBW": "00_torch_core.ipynb",
         "TensorMask": "00_torch_core.ipynb",
         "L.tensored": "00_torch_core.ipynb",
         "L.stack": "00_torch_core.ipynb",
         "L.cat": "00_torch_core.ipynb",
         "concat": "00_torch_core.ipynb",
         "Chunks": "00_torch_core.ipynb",
         "show_title": "00_torch_core.ipynb",
         "ShowTitle": "00_torch_core.ipynb",
         "TitledInt": "00_torch_core.ipynb",
         "TitledFloat": "00_torch_core.ipynb",
         "TitledStr": "00_torch_core.ipynb",
         "TitledTuple": "00_torch_core.ipynb",
         "pd.DataFrame.__init__": "00_torch_core.ipynb",
         "get_empty_df": "00_torch_core.ipynb",
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         "PrecisionMulti": "13a_metrics.ipynb",
         "RecallMulti": "13a_metrics.ipynb",
         "RocAucMulti": "13a_metrics.ipynb",
         "mse": "13a_metrics.ipynb",
         "rmse": "13a_metrics.ipynb",
         "rmse.__doc__": "13a_metrics.ipynb",
         "mae": "13a_metrics.ipynb",
         "msle": "13a_metrics.ipynb",
         "exp_rmspe": "13a_metrics.ipynb",
         "exp_rmspe.__doc__": "13a_metrics.ipynb",
         "ExplainedVariance": "13a_metrics.ipynb",
         "R2Score": "13a_metrics.ipynb",
         "foreground_acc": "13a_metrics.ipynb",
         "Dice": "13a_metrics.ipynb",
         "JaccardCoeff": "13a_metrics.ipynb",
         "LossMetric": "13a_metrics.ipynb",
         "LossMetrics": "13a_metrics.ipynb",
         "annealer": "14_callback.schedule.ipynb",
         "SchedLin": "14_callback.schedule.ipynb",
         "SchedCos": "14_callback.schedule.ipynb",
         "SchedNo": "14_callback.schedule.ipynb",
         "SchedExp": "14_callback.schedule.ipynb",
         "SchedLin.__doc__": "14_callback.schedule.ipynb",
         "SchedCos.__doc__": "14_callback.schedule.ipynb",
         "SchedExp.__doc__": "14_callback.schedule.ipynb",
         "SchedPoly": "14_callback.schedule.ipynb",
         "combine_scheds": "14_callback.schedule.ipynb",
         "combined_cos": "14_callback.schedule.ipynb",
         "ParamScheduler": "14_callback.schedule.ipynb",
         "Learner.fit_one_cycle": "14_callback.schedule.ipynb",
         "Recorder.plot_sched": "14_callback.schedule.ipynb",
         "Learner.fit_flat_cos": "14_callback.schedule.ipynb",
         "Learner.fit_sgdr": "14_callback.schedule.ipynb",
         "Learner.fine_tune": "14_callback.schedule.ipynb",
         "LRFinder": "14_callback.schedule.ipynb",
         "Recorder.plot_lr_find": "14_callback.schedule.ipynb",
         "Learner.lr_find": "14_callback.schedule.ipynb",
         "CollectDataCallback": "14a_callback.data.ipynb",
         "WeightedDL": "14a_callback.data.ipynb",
         "weighted_databunch": "14a_callback.data.ipynb",
         "Hook": "15_callback.hook.ipynb",
         "hook_output": "15_callback.hook.ipynb",
         "Hooks": "15_callback.hook.ipynb",
         "hook_outputs": "15_callback.hook.ipynb",
         "dummy_eval": "15_callback.hook.ipynb",
         "model_sizes": "15_callback.hook.ipynb",
         "num_features_model": "15_callback.hook.ipynb",
         "has_params": "15_callback.hook.ipynb",
         "HookCallback": "15_callback.hook.ipynb",
         "total_params": "15_callback.hook.ipynb",
         "layer_info": "15_callback.hook.ipynb",
         "Learner.summary": "15_callback.hook.ipynb",
         "ActivationStats": "15_callback.hook.ipynb",
         "UnetBlock": "15a_vision.models.unet.ipynb",
         "ResizeToOrig": "15a_vision.models.unet.ipynb",
         "DynamicUnet": "15a_vision.models.unet.ipynb",
         "ProgressCallback": "16_callback.progress.ipynb",
         "no_bar": "16_callback.progress.ipynb",
         "ShowGraphCallback": "16_callback.progress.ipynb",
         "CSVLogger": "16_callback.progress.ipynb",
         "ShortEpochCallback": "17_callback.tracker.ipynb",
         "TerminateOnNaNCallback": "17_callback.tracker.ipynb",
         "TrackerCallback": "17_callback.tracker.ipynb",
         "EarlyStoppingCallback": "17_callback.tracker.ipynb",
         "SaveModelCallback": "17_callback.tracker.ipynb",
         "ReduceLROnPlateau": "17_callback.tracker.ipynb",
         "get_master": "18_callback.fp16.ipynb",
         "to_master_grads": "18_callback.fp16.ipynb",
         "to_model_params": "18_callback.fp16.ipynb",
         "test_overflow": "18_callback.fp16.ipynb",
         "grad_overflow": "18_callback.fp16.ipynb",
         "copy_clone": "18_callback.fp16.ipynb",
         "ModelToHalf": "18_callback.fp16.ipynb",
         "MixedPrecision": "18_callback.fp16.ipynb",
         "Learner.to_fp16": "18_callback.fp16.ipynb",
         "reduce_loss": "19_callback.mixup.ipynb",
         "MixUp": "19_callback.mixup.ipynb",
         "Interpretation": "20_interpret.ipynb",
         "ClassificationInterpretation": "20_interpret.ipynb",
         "DataParallel.reset": "20a_distributed.ipynb",
         "ParallelTrainer": "20a_distributed.ipynb",
         "Learner.to_parallel": "20a_distributed.ipynb",
         "DistributedDataParallel.reset": "20a_distributed.ipynb",
         "setup_distrib": "20a_distributed.ipynb",
         "DistributedDL": "20a_distributed.ipynb",
         "DistributedTrainer": "20a_distributed.ipynb",
         "Learner.to_distributed": "20a_distributed.ipynb",
         "has_pool_type": "21_vision.learner.ipynb",
         "create_body": "21_vision.learner.ipynb",
         "create_head": "21_vision.learner.ipynb",
         "create_cnn_model": "21_vision.learner.ipynb",
         "cnn_config": "21_vision.learner.ipynb",
         "default_split": "21_vision.learner.ipynb",
         "model_meta": "21_vision.learner.ipynb",
         "cnn_learner": "21_vision.learner.ipynb",
         "unet_config": "21_vision.learner.ipynb",
         "unet_learner": "21_vision.learner.ipynb",
         "show_results": "21_vision.learner.ipynb",
         "GANModule": "24_vision.gan.ipynb",
         "basic_critic": "24_vision.gan.ipynb",
         "AddChannels": "24_vision.gan.ipynb",
         "basic_generator": "24_vision.gan.ipynb",
         "DenseResBlock": "24_vision.gan.ipynb",
         "gan_critic": "24_vision.gan.ipynb",
         "GANLoss": "24_vision.gan.ipynb",
         "AdaptiveLoss": "24_vision.gan.ipynb",
         "accuracy_thresh_expand": "24_vision.gan.ipynb",
         "set_freeze_model": "24_vision.gan.ipynb",
         "GANTrainer": "24_vision.gan.ipynb",
         "FixedGANSwitcher": "24_vision.gan.ipynb",
         "AdaptiveGANSwitcher": "24_vision.gan.ipynb",
         "GANDiscriminativeLR": "24_vision.gan.ipynb",
         "InvisibleTensor": "24_vision.gan.ipynb",
         "generate_noise": "24_vision.gan.ipynb",
         "gan_loss_from_func": "24_vision.gan.ipynb",
         "GANLearner": "24_vision.gan.ipynb",
         "GANLearner.from_learners": "24_vision.gan.ipynb",
         "GANLearner.wgan": "24_vision.gan.ipynb",
         "spec_add_spaces": "30_text.core.ipynb",
         "rm_useless_spaces": "30_text.core.ipynb",
         "replace_rep": "30_text.core.ipynb",
         "replace_wrep": "30_text.core.ipynb",
         "fix_html": "30_text.core.ipynb",
         "replace_all_caps": "30_text.core.ipynb",
         "replace_maj": "30_text.core.ipynb",
         "lowercase": "30_text.core.ipynb",
         "replace_space": "30_text.core.ipynb",
         "defaults.text_spec_tok": "30_text.core.ipynb",
         "defaults.text_proc_rules": "30_text.core.ipynb",
         "defaults.text_postproc_rules": "30_text.core.ipynb",
         "BaseTokenizer": "30_text.core.ipynb",
         "SpacyTokenizer": "30_text.core.ipynb",
         "TokenizeBatch": "30_text.core.ipynb",
         "tokenize1": "30_text.core.ipynb",
         "parallel_tokenize": "30_text.core.ipynb",
         "fn_counter_pkl": "30_text.core.ipynb",
         "tokenize_folder": "30_text.core.ipynb",
         "read_tokenized_file": "30_text.core.ipynb",
         "tokenize_files": "30_text.core.ipynb",
         "tokenize_df": "30_text.core.ipynb",
         "tokenize_csv": "30_text.core.ipynb",
         "load_tokenized_csv": "30_text.core.ipynb",
         "get_tokenizer": "30_text.core.ipynb",
         "Tokenizer": "30_text.core.ipynb",
         "eu_langs": "30_text.core.ipynb",
         "SentencePieceTokenizer": "30_text.core.ipynb",
         "make_vocab": "31_text.data.ipynb",
         "TensorText": "31_text.data.ipynb",
         "LMTensorText": "31_text.data.ipynb",
         "Numericalize": "31_text.data.ipynb",
         "LMDataLoader": "31_text.data.ipynb",
         "TitledStr.truncate": "31_text.data.ipynb",
         "pad_input": "31_text.data.ipynb",
         "SortedDL": "31_text.data.ipynb",
         "TextBlock": "31_text.data.ipynb",
         "TextDataBunch": "31_text.data.ipynb",
         "TextDataBunch.from_csv": "31_text.data.ipynb",
         "dropout_mask": "32_text.models.awdlstm.ipynb",
         "RNNDropout": "32_text.models.awdlstm.ipynb",
         "WeightDropout": "32_text.models.awdlstm.ipynb",
         "EmbeddingDropout": "32_text.models.awdlstm.ipynb",
         "AWD_LSTM": "32_text.models.awdlstm.ipynb",
         "awd_lstm_lm_split": "32_text.models.awdlstm.ipynb",
         "awd_lstm_lm_config": "32_text.models.awdlstm.ipynb",
         "awd_lstm_clas_split": "32_text.models.awdlstm.ipynb",
         "awd_lstm_clas_config": "32_text.models.awdlstm.ipynb",
         "AWD_QRNN": "32_text.models.awdlstm.ipynb",
         "awd_qrnn_lm_config": "32_text.models.awdlstm.ipynb",
         "awd_qrnn_clas_config": "32_text.models.awdlstm.ipynb",
         "LinearDecoder": "33_text.models.core.ipynb",
         "SequentialRNN": "33_text.models.core.ipynb",
         "get_language_model": "33_text.models.core.ipynb",
         "SentenceEncoder": "33_text.models.core.ipynb",
         "masked_concat_pool": "33_text.models.core.ipynb",
         "PoolingLinearClassifier": "33_text.models.core.ipynb",
         "get_text_classifier": "33_text.models.core.ipynb",
         "RNNTrainer": "34_callback.rnn.ipynb",
         "load_cpp": "36_text.models.qrnn.ipynb",
         "forget_mult_cuda": "36_text.models.qrnn.ipynb",
         "bwd_forget_mult_cuda": "36_text.models.qrnn.ipynb",
         "dispatch_cuda": "36_text.models.qrnn.ipynb",
         "forget_mult_CPU": "36_text.models.qrnn.ipynb",
         "ForgetMultGPU": "36_text.models.qrnn.ipynb",
         "QRNNLayer": "36_text.models.qrnn.ipynb",
         "QRNN": "36_text.models.qrnn.ipynb",
         "match_embeds": "37_text.learner.ipynb",
         "load_ignore_keys": "37_text.learner.ipynb",
         "TextLearner": "37_text.learner.ipynb",
         "decode_spec_tokens": "37_text.learner.ipynb",
         "LMLearner": "37_text.learner.ipynb",
         "language_model_learner": "37_text.learner.ipynb",
         "text_classifier_learner": "37_text.learner.ipynb",
         "make_date": "40_tabular.core.ipynb",
         "add_datepart": "40_tabular.core.ipynb",
         "add_elapsed_times": "40_tabular.core.ipynb",
         "cont_cat_split": "40_tabular.core.ipynb",
         "Tabular": "40_tabular.core.ipynb",
         "TabularPandas": "40_tabular.core.ipynb",
         "TabularProc": "40_tabular.core.ipynb",
         "Categorify": "40_tabular.core.ipynb",
         "setups": "40_tabular.core.ipynb",
         "NormalizeTab": "40_tabular.core.ipynb",
         "FillStrategy": "40_tabular.core.ipynb",
         "FillMissing": "40_tabular.core.ipynb",
         "ReadTabBatch": "40_tabular.core.ipynb",
         "TabDataLoader": "40_tabular.core.ipynb",
         "TabularDataBunch": "41_tabular.data.ipynb",
         "TabularLearner": "42_tabular.learner.ipynb",
         "tabular_learner": "42_tabular.learner.ipynb",
         "emb_sz_rule": "43_tabular.model.ipynb",
         "get_emb_sz": "43_tabular.model.ipynb",
         "TabularModel": "43_tabular.model.ipynb",
         "tabular_config": "43_tabular.model.ipynb",
         "TabularCollab": "45_collab.ipynb",
         "CollabDataBunch": "45_collab.ipynb",
         "EmbeddingDotBias": "45_collab.ipynb",
         "EmbeddingNN": "45_collab.ipynb",
         "collab_learner": "45_collab.ipynb",
         "Path.dcmread": "60_medical.imaging.ipynb",
         "pixels": "60_medical.imaging.ipynb",
         "scaled_px": "60_medical.imaging.ipynb",
         "array_freqhist_bins": "60_medical.imaging.ipynb",
         "Tensor.freqhist_bins": "60_medical.imaging.ipynb",
         "Tensor.hist_scaled_pt": "60_medical.imaging.ipynb",
         "Tensor.hist_scaled": "60_medical.imaging.ipynb",
         "DcmDataset.hist_scaled": "60_medical.imaging.ipynb",
         "Tensor.windowed": "60_medical.imaging.ipynb",
         "DcmDataset.windowed": "60_medical.imaging.ipynb",
         "dicom_windows": "60_medical.imaging.ipynb",
         "TensorCTScan": "60_medical.imaging.ipynb",
         "PILCTScan": "60_medical.imaging.ipynb",
         "show": "60_medical.imaging.ipynb",
         "DcmDataset.pct_in_window": "60_medical.imaging.ipynb",
         "uniform_blur2d": "60_medical.imaging.ipynb",
         "gauss_blur2d": "60_medical.imaging.ipynb",
         "Tensor.mask_from_blur": "60_medical.imaging.ipynb",
         "DcmDataset.mask_from_blur": "60_medical.imaging.ipynb",
         "mask2bbox": "60_medical.imaging.ipynb",
         "crop_resize": "60_medical.imaging.ipynb",
         "Tensor.to_nchan": "60_medical.imaging.ipynb",
         "DcmDataset.to_nchan": "60_medical.imaging.ipynb",
         "Tensor.to_3chan": "60_medical.imaging.ipynb",
         "DcmDataset.to_3chan": "60_medical.imaging.ipynb",
         "Tensor.save_jpg": "60_medical.imaging.ipynb",
         "DcmDataset.save_jpg": "60_medical.imaging.ipynb",
         "Tensor.to_uint16": "60_medical.imaging.ipynb",
         "DcmDataset.to_uint16": "60_medical.imaging.ipynb",
         "Tensor.save_tif16": "60_medical.imaging.ipynb",
         "DcmDataset.save_tif16": "60_medical.imaging.ipynb",
         "DcmDataset.set_pixels": "60_medical.imaging.ipynb",
         "DcmDataset.pixel_array": "60_medical.imaging.ipynb",
         "DcmDataset.zoom": "60_medical.imaging.ipynb",
         "DcmDataset.zoom_to": "60_medical.imaging.ipynb",
         "DcmDataset.as_dict": "60_medical.imaging.ipynb",
         "pd.DataFrame.from_dicoms": "60_medical.imaging.ipynb",
         "WandbCallback": "70_callback.wandb.ipynb",
         "wandb_process": "70_callback.wandb.ipynb",
         "TensorBoardCallback": "71_callback.tensorboard.ipynb",
         "tensorboard_log": "71_callback.tensorboard.ipynb",
         "synth_dbunch": "97_test_utils.ipynb",
         "RegModel": "97_test_utils.ipynb",
         "synth_learner": "97_test_utils.ipynb"}

modules = ["torch_core.py",
           "layers.py",
           "data/load.py",
           "data/core.py",
           "data/external.py",
           "data/transforms.py",
           "data/block.py",
           "vision/core.py",
           "vision/data.py",
           "vision/augment.py",
           "vision/utils.py",
           "vision/widgets.py",
           "vision/models/xresnet.py",
           "optimizer.py",
           "learner.py",
           "metrics.py",
           "callback/schedule.py",
           "callback/data.py",
           "callback/hook.py",
           "vision/models/unet.py",
           "callback/progress.py",
           "callback/tracker.py",
           "callback/fp16.py",
           "callback/mixup.py",
           "interpret.py",
           "distributed.py",
           "vision/learner.py",
           "vision/gan.py",
           "text/core.py",
           "text/data.py",
           "text/models/awdlstm.py",
           "text/models/core.py",
           "callback/rnn.py",
           "text/models/qrnn.py",
           "text/learner.py",
           "tabular/core.py",
           "tabular/data.py",
           "tabular/learner.py",
           "tabular/model.py",
           "collab.py",
           "medical/imaging.py",
           "medical/text.py",
           "callback/wandb.py",
           "callback/tensorboard.py",
           "test_utils.py"]

doc_url = "https://dev.fast.ai/"

git_url = "https://github.com/fastai/fastai2/tree/master/"

def custom_doc_links(name): return None

# AUTOGENERATED BY NBDEV! DO NOT EDIT!