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Fix to cuda functions on new Pytorch #5

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135 changes: 70 additions & 65 deletions fastai_amalgam/_nbdev.py
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Expand Up @@ -2,74 +2,79 @@

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

index = {"is_3dlut_row": "augment_PIL-img_filters.ipynb",
"read_lut": "augment_PIL-img_filters.ipynb",
"ApplyPILFilter": "augment_PIL-img_filters.ipynb",
"albu_augment": "augment_albumentations.ipynb",
"AlbumentationsWrapper": "augment_albumentations.ipynb",
"BlurringTfms": "augment_albumentations.ipynb",
"StyleTfms": "augment_albumentations.ipynb",
"WeatherTfms": "augment_albumentations.ipynb",
"NoiseTfms": "augment_albumentations.ipynb",
"ColorTonesTfms": "augment_albumentations.ipynb",
"ColorChannelTfms": "augment_albumentations.ipynb",
"LightingTfms": "augment_albumentations.ipynb",
"OtherTfms": "augment_albumentations.ipynb",
"Tfms": "augment_albumentations.ipynb",
"KorniaBase": "augment_kornia.ipynb",
"MotionBlur": "augment_kornia.ipynb",
"ColorJitter": "augment_kornia.ipynb",
"RandomRotation": "augment_kornia.ipynb",
"MedianBlur": "augment_kornia.ipynb",
"HFlip": "augment_kornia.ipynb",
"VFlip": "augment_kornia.ipynb",
"RandomGrayscale": "augment_kornia.ipynb",
"RandomPerspective": "augment_kornia.ipynb",
"torch_to_onnx": "export_onnx.ipynb",
"ClassificationInterpretationEx": "interpret_classification-interpretation.ipynb",
"ClassificationInterpretationEx.plot_confusion_matrix": "interpret_classification-interpretation.ipynb",
"ClassificationInterpretationEx.plot_accuracy": "interpret_classification-interpretation.ipynb",
"ClassificationInterpretationEx.plot_label_confidence": "interpret_classification-interpretation.ipynb",
"ClassificationInterpretationEx.plot_top_losses_grid": "interpret_classification-interpretation.ipynb",
"ClassificationInterpretationEx.plot_lowest_losses_grid": "interpret_classification-interpretation.ipynb",
"ClassificationInterpretationEx.print_classification_report": "interpret_classification-interpretation.ipynb",
"intersection": "interpret_compare-models.ipynb",
"compare_venn": "interpret_compare-models.ipynb",
"Hook": "interpret_gradcam.ipynb",
"HookBwd": "interpret_gradcam.ipynb",
"to_cuda": "interpret_gradcam.ipynb",
"get_label_idx": "interpret_gradcam.ipynb",
"get_target_layer": "interpret_gradcam.ipynb",
"compute_gcam_items": "interpret_gradcam.ipynb",
"compute_gcam_map": "interpret_gradcam.ipynb",
"plt2pil": "interpret_gradcam.ipynb",
"plt_decoded": "interpret_gradcam.ipynb",
"plot_gcam": "interpret_gradcam.ipynb",
"Learner.gradcam": "interpret_gradcam.ipynb",
"FocalLoss": "loss_functions.ipynb",
"FocalLossFlat": "loss_functions.ipynb",
"TfmdDL.set_font_path": "show_data.ipynb",
"draw_label": "show_data.ipynb",
"TfmdDL.show_batch_grid": "show_data.ipynb",
"open_image": "utils.ipynb",
"img2arraylike": "utils.ipynb",
"make_img_grid": "utils.ipynb",
"PIL.Image.Image.draw_labels": "utils.ipynb",
"color": "utils.ipynb"}
index = {
"is_3dlut_row": "augment_PIL-img_filters.ipynb",
"read_lut": "augment_PIL-img_filters.ipynb",
"ApplyPILFilter": "augment_PIL-img_filters.ipynb",
"albu_augment": "augment_albumentations.ipynb",
"AlbumentationsWrapper": "augment_albumentations.ipynb",
"BlurringTfms": "augment_albumentations.ipynb",
"StyleTfms": "augment_albumentations.ipynb",
"WeatherTfms": "augment_albumentations.ipynb",
"NoiseTfms": "augment_albumentations.ipynb",
"ColorTonesTfms": "augment_albumentations.ipynb",
"ColorChannelTfms": "augment_albumentations.ipynb",
"LightingTfms": "augment_albumentations.ipynb",
"OtherTfms": "augment_albumentations.ipynb",
"Tfms": "augment_albumentations.ipynb",
"KorniaBase": "augment_kornia.ipynb",
"MotionBlur": "augment_kornia.ipynb",
"ColorJitter": "augment_kornia.ipynb",
"RandomRotation": "augment_kornia.ipynb",
"MedianBlur": "augment_kornia.ipynb",
"HFlip": "augment_kornia.ipynb",
"VFlip": "augment_kornia.ipynb",
"RandomGrayscale": "augment_kornia.ipynb",
"RandomPerspective": "augment_kornia.ipynb",
"torch_to_onnx": "export_onnx.ipynb",
"ClassificationInterpretationEx": "interpret_classification-interpretation.ipynb",
"ClassificationInterpretationEx.plot_confusion_matrix": "interpret_classification-interpretation.ipynb",
"ClassificationInterpretationEx.plot_accuracy": "interpret_classification-interpretation.ipynb",
"ClassificationInterpretationEx.plot_label_confidence": "interpret_classification-interpretation.ipynb",
"ClassificationInterpretationEx.plot_top_losses_grid": "interpret_classification-interpretation.ipynb",
"ClassificationInterpretationEx.plot_lowest_losses_grid": "interpret_classification-interpretation.ipynb",
"ClassificationInterpretationEx.print_classification_report": "interpret_classification-interpretation.ipynb",
"intersection": "interpret_compare-models.ipynb",
"compare_venn": "interpret_compare-models.ipynb",
"Hook": "interpret_gradcam.ipynb",
"HookBwd": "interpret_gradcam.ipynb",
"get_label_idx": "interpret_gradcam.ipynb",
"get_target_layer": "interpret_gradcam.ipynb",
"compute_gcam_items": "interpret_gradcam.ipynb",
"compute_gcam_map": "interpret_gradcam.ipynb",
"plt2pil": "interpret_gradcam.ipynb",
"plt_decoded": "interpret_gradcam.ipynb",
"plot_gcam": "interpret_gradcam.ipynb",
"Learner.gradcam": "interpret_gradcam.ipynb",
"FocalLoss": "loss_functions.ipynb",
"FocalLossFlat": "loss_functions.ipynb",
"TfmdDL.set_font_path": "show_data.ipynb",
"draw_label": "show_data.ipynb",
"TfmdDL.show_batch_grid": "show_data.ipynb",
"open_image": "utils.ipynb",
"img2arraylike": "utils.ipynb",
"make_img_grid": "utils.ipynb",
"PIL.Image.Image.draw_labels": "utils.ipynb",
"color": "utils.ipynb",
}

modules = ["augment/pil_filters.py",
"augment/albumentations.py",
"augment/kornia.py",
"export/onnx.py",
"interpret/interpret.py",
"interpret/compare.py",
"interpret/gradcam.py",
"loss_funcs.py",
"show_data.py",
"utils.py"]
modules = [
"augment/pil_filters.py",
"augment/albumentations.py",
"augment/kornia.py",
"export/onnx.py",
"interpret/interpret.py",
"interpret/compare.py",
"interpret/gradcam.py",
"loss_funcs.py",
"show_data.py",
"utils.py",
]

doc_url = "https://Synopsis.github.io/fastai_amalgam/"

git_url = "https://github.com/Synopsis/fastai_amalgam/tree/master/"

def custom_doc_links(name): return None

def custom_doc_links(name):
return None
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