# AUTOGENERATED BY NBDEV! DO NOT EDIT!

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         "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",
         "DicomSegmentationDataLoaders": "60_medical.imaging.ipynb",
         "WandbCallback": "70_callback.wandb.ipynb",
         "Learner.gather_args": "70_callback.wandb.ipynb",
         "log_dataset": "70_callback.wandb.ipynb",
         "log_model": "70_callback.wandb.ipynb",
         "TensorBoardBaseCallback": "70a_callback.tensorboard.ipynb",
         "TensorBoardCallback": "70a_callback.tensorboard.ipynb",
         "TensorBoardProjectorCallback": "70a_callback.tensorboard.ipynb",
         "projector_word_embeddings": "70a_callback.tensorboard.ipynb",
         "NeptuneCallback": "70b_callback.neptune.ipynb",
         "json_clean": "70c_callback.captum.ipynb",
         "jsonutil.json_clean": "70c_callback.captum.ipynb",
         "CaptumInterpretation": "70c_callback.captum.ipynb",
         "CaptumInterpretation.insights": "70c_callback.captum.ipynb",
         "CometCallback": "70d_callback.comet.ipynb",
         "synth_dbunch": "97_test_utils.ipynb",
         "RegModel": "97_test_utils.ipynb",
         "synth_learner": "97_test_utils.ipynb",
         "VerboseCallback": "97_test_utils.ipynb",
         "get_env": "97_test_utils.ipynb",
         "try_import": "97_test_utils.ipynb",
         "nvidia_smi": "97_test_utils.ipynb",
         "nvidia_mem": "97_test_utils.ipynb",
         "show_install": "97_test_utils.ipynb",
         "PYTORCH_URL": "99_pytorch_doc.ipynb",
         "pytorch_doc_link": "99_pytorch_doc.ipynb"}

modules = ["torch_core.py",
           "layers.py",
           "losses.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",
           "callback/core.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/training.py",
           "callback/preds.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/learner.py",
           "tabular/core.py",
           "tabular/data.py",
           "tabular/model.py",
           "tabular/learner.py",
           "collab.py",
           "medical/imaging.py",
           "medical/text.py",
           "callback/wandb.py",
           "callback/tensorboard.py",
           "callback/neptune.py",
           "callback/captum.py",
           "callback/comet.py",
           "test_utils.py",
           "_pytorch_doc.py"]

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

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

def custom_doc_links(name):
    from nbdev.showdoc import try_external_doc_link
    return try_external_doc_link(name, ['fastcore', 'nbdev'])

