Index A | B | C | D | E | F | G | H | I | L | M | N | O | P | R | S | T | U | V | X | Z A add_module() (mfai.pytorch.lightning_modules.clip.CLIPLightningModule method) (mfai.pytorch.lightning_modules.gan_dgmr.DGMRLightningModule method) (mfai.pytorch.lightning_modules.segmentation.SegmentationLightningModule method) (mfai.pytorch.losses.dgmr.GridCellLoss method) (mfai.pytorch.losses.perceptual.BaseNet method) (mfai.pytorch.losses.perceptual.LinLayers method) (mfai.pytorch.losses.perceptual.LPIPS method) (mfai.pytorch.losses.perceptual.PerceptualLoss method) (mfai.pytorch.losses.perceptual.VGG16 method) (mfai.pytorch.losses.toolbelt.DiceLoss method) (mfai.pytorch.losses.toolbelt.SoftBCEWithLogitsLoss method) (mfai.pytorch.losses.toolbelt.SoftCrossEntropyLoss method) (mfai.pytorch.metrics.CSINeighborhood method) (mfai.pytorch.metrics.FAR method) (mfai.pytorch.metrics.FNR method) (mfai.pytorch.metrics.FSS method) (mfai.pytorch.metrics.PR_AUC method) (mfai.pytorch.transforms.DimensionSubSampler method) (mfai.pytorch.transforms.MeanDimensionSubsampler method) add_state() (mfai.pytorch.metrics.CSINeighborhood method) (mfai.pytorch.metrics.FAR method) (mfai.pytorch.metrics.FNR method) (mfai.pytorch.metrics.FSS method) (mfai.pytorch.metrics.PR_AUC method) aggregate_loss() (mfai.pytorch.losses.toolbelt.DiceLoss method), [1] all_gather() (mfai.pytorch.lightning_modules.clip.CLIPLightningModule method) (mfai.pytorch.lightning_modules.gan_dgmr.DGMRLightningModule method) (mfai.pytorch.lightning_modules.segmentation.SegmentationLightningModule method) allow_zero_length_dataloader_with_multiple_devices (mfai.pytorch.lightning_modules.CLIPLightningModule attribute) (mfai.pytorch.lightning_modules.SegmentationLightningModule attribute) append() (mfai.pytorch.losses.perceptual.LinLayers method) apply() (mfai.pytorch.lightning_modules.clip.CLIPLightningModule method) (mfai.pytorch.lightning_modules.gan_dgmr.DGMRLightningModule method) (mfai.pytorch.lightning_modules.segmentation.SegmentationLightningModule method) (mfai.pytorch.losses.dgmr.GridCellLoss method) (mfai.pytorch.losses.perceptual.BaseNet method) (mfai.pytorch.losses.perceptual.LinLayers method) (mfai.pytorch.losses.perceptual.LPIPS method) (mfai.pytorch.losses.perceptual.PerceptualLoss method) (mfai.pytorch.losses.perceptual.VGG16 method) (mfai.pytorch.losses.toolbelt.DiceLoss method) (mfai.pytorch.losses.toolbelt.SoftBCEWithLogitsLoss method) (mfai.pytorch.losses.toolbelt.SoftCrossEntropyLoss method) (mfai.pytorch.metrics.CSINeighborhood method) (mfai.pytorch.metrics.FAR method) (mfai.pytorch.metrics.FNR method) (mfai.pytorch.metrics.FSS method) (mfai.pytorch.metrics.PR_AUC method) (mfai.pytorch.transforms.DimensionSubSampler method) (mfai.pytorch.transforms.MeanDimensionSubsampler method) assign() (in module mfai.pytorch), [1] automatic_optimization (mfai.pytorch.lightning_modules.clip.CLIPLightningModule property) (mfai.pytorch.lightning_modules.gan_dgmr.DGMRLightningModule property) (mfai.pytorch.lightning_modules.segmentation.SegmentationLightningModule property) B backend (mfai.pytorch.models.llms.FreezeMLMMixin attribute) backward() (mfai.pytorch.lightning_modules.clip.CLIPLightningModule method) (mfai.pytorch.lightning_modules.gan_dgmr.DGMRLightningModule method) (mfai.pytorch.lightning_modules.segmentation.SegmentationLightningModule method) BaseNet (class in mfai.pytorch.losses.perceptual), [1] bfloat16() (mfai.pytorch.lightning_modules.clip.CLIPLightningModule method) (mfai.pytorch.lightning_modules.gan_dgmr.DGMRLightningModule method) (mfai.pytorch.lightning_modules.segmentation.SegmentationLightningModule method) (mfai.pytorch.losses.dgmr.GridCellLoss method) (mfai.pytorch.losses.perceptual.BaseNet method) (mfai.pytorch.losses.perceptual.LinLayers method) (mfai.pytorch.losses.perceptual.LPIPS method) (mfai.pytorch.losses.perceptual.PerceptualLoss method) (mfai.pytorch.losses.perceptual.VGG16 method) (mfai.pytorch.losses.toolbelt.DiceLoss method) (mfai.pytorch.losses.toolbelt.SoftBCEWithLogitsLoss method) (mfai.pytorch.losses.toolbelt.SoftCrossEntropyLoss method) (mfai.pytorch.metrics.CSINeighborhood method) (mfai.pytorch.metrics.FAR method) (mfai.pytorch.metrics.FNR method) (mfai.pytorch.metrics.FSS method) (mfai.pytorch.metrics.PR_AUC method) (mfai.pytorch.transforms.DimensionSubSampler method) (mfai.pytorch.transforms.MeanDimensionSubsampler method) binary_dilation_() (mfai.pytorch.metrics.CSINeighborhood method), [1] buffers() (mfai.pytorch.lightning_modules.clip.CLIPLightningModule method) (mfai.pytorch.lightning_modules.gan_dgmr.DGMRLightningModule method) (mfai.pytorch.lightning_modules.segmentation.SegmentationLightningModule method) (mfai.pytorch.losses.dgmr.GridCellLoss method) (mfai.pytorch.losses.perceptual.BaseNet method) (mfai.pytorch.losses.perceptual.LinLayers method) (mfai.pytorch.losses.perceptual.LPIPS method) (mfai.pytorch.losses.perceptual.PerceptualLoss method) (mfai.pytorch.losses.perceptual.VGG16 method) (mfai.pytorch.losses.toolbelt.DiceLoss method) (mfai.pytorch.losses.toolbelt.SoftBCEWithLogitsLoss method) (mfai.pytorch.losses.toolbelt.SoftCrossEntropyLoss method) (mfai.pytorch.metrics.CSINeighborhood method) (mfai.pytorch.metrics.FAR method) (mfai.pytorch.metrics.FNR method) (mfai.pytorch.metrics.FSS method) (mfai.pytorch.metrics.PR_AUC method) (mfai.pytorch.transforms.DimensionSubSampler method) (mfai.pytorch.transforms.MeanDimensionSubsampler method) C call_super_init (mfai.pytorch.lightning_modules.clip.CLIPLightningModule attribute) (mfai.pytorch.lightning_modules.gan_dgmr.DGMRLightningModule attribute) (mfai.pytorch.lightning_modules.segmentation.SegmentationLightningModule attribute) (mfai.pytorch.losses.dgmr.GridCellLoss attribute) (mfai.pytorch.losses.perceptual.BaseNet attribute) (mfai.pytorch.losses.perceptual.LinLayers attribute) (mfai.pytorch.losses.perceptual.LPIPS attribute) (mfai.pytorch.losses.perceptual.PerceptualLoss attribute) (mfai.pytorch.losses.perceptual.VGG16 attribute) (mfai.pytorch.losses.toolbelt.DiceLoss attribute) (mfai.pytorch.losses.toolbelt.SoftBCEWithLogitsLoss attribute) (mfai.pytorch.losses.toolbelt.SoftCrossEntropyLoss attribute) (mfai.pytorch.metrics.CSINeighborhood attribute) (mfai.pytorch.metrics.FAR attribute) (mfai.pytorch.metrics.FNR attribute) (mfai.pytorch.metrics.FSS attribute) (mfai.pytorch.metrics.PR_AUC attribute) (mfai.pytorch.transforms.DimensionSubSampler attribute) (mfai.pytorch.transforms.MeanDimensionSubsampler attribute) check_required_attributes() (mfai.pytorch.models.base.ModelABC method) CHECKPOINT_HYPER_PARAMS_KEY (mfai.pytorch.lightning_modules.clip.CLIPLightningModule attribute) (mfai.pytorch.lightning_modules.gan_dgmr.DGMRLightningModule attribute) (mfai.pytorch.lightning_modules.segmentation.SegmentationLightningModule attribute) CHECKPOINT_HYPER_PARAMS_NAME (mfai.pytorch.lightning_modules.clip.CLIPLightningModule attribute) (mfai.pytorch.lightning_modules.gan_dgmr.DGMRLightningModule attribute) (mfai.pytorch.lightning_modules.segmentation.SegmentationLightningModule attribute) CHECKPOINT_HYPER_PARAMS_TYPE (mfai.pytorch.lightning_modules.clip.CLIPLightningModule attribute) (mfai.pytorch.lightning_modules.gan_dgmr.DGMRLightningModule attribute) (mfai.pytorch.lightning_modules.segmentation.SegmentationLightningModule attribute) children() (mfai.pytorch.lightning_modules.clip.CLIPLightningModule method) (mfai.pytorch.lightning_modules.gan_dgmr.DGMRLightningModule method) (mfai.pytorch.lightning_modules.segmentation.SegmentationLightningModule method) (mfai.pytorch.losses.dgmr.GridCellLoss method) (mfai.pytorch.losses.perceptual.BaseNet method) (mfai.pytorch.losses.perceptual.LinLayers method) (mfai.pytorch.losses.perceptual.LPIPS method) (mfai.pytorch.losses.perceptual.PerceptualLoss method) (mfai.pytorch.losses.perceptual.VGG16 method) (mfai.pytorch.losses.toolbelt.DiceLoss method) (mfai.pytorch.losses.toolbelt.SoftBCEWithLogitsLoss method) (mfai.pytorch.losses.toolbelt.SoftCrossEntropyLoss method) (mfai.pytorch.metrics.CSINeighborhood method) (mfai.pytorch.metrics.FAR method) (mfai.pytorch.metrics.FNR method) (mfai.pytorch.metrics.FSS method) (mfai.pytorch.metrics.PR_AUC method) (mfai.pytorch.transforms.DimensionSubSampler method) (mfai.pytorch.transforms.MeanDimensionSubsampler method) clip_gradients() (mfai.pytorch.lightning_modules.clip.CLIPLightningModule method) (mfai.pytorch.lightning_modules.gan_dgmr.DGMRLightningModule method) (mfai.pytorch.lightning_modules.segmentation.SegmentationLightningModule method) CLIPAccuracySkillScore (class in mfai.pytorch.lightning_modules.clip) CLIPLightningModule (class in mfai.pytorch.lightning_modules), [1] (class in mfai.pytorch.lightning_modules.clip), [1] clone() (mfai.pytorch.metrics.CSINeighborhood method) (mfai.pytorch.metrics.FAR method) (mfai.pytorch.metrics.FNR method) (mfai.pytorch.metrics.FSS method) (mfai.pytorch.metrics.PR_AUC method) (mfai.pytorch.namedtensor.NamedTensor method) collate_fn() (mfai.pytorch.namedtensor.NamedTensor static method) collate_fn_fit() (mfai.pytorch.dummy_dataset.DummyMultiModalDataModule method) collate_text() (mfai.pytorch.dummy_dataset.DummyMultiModalDataModule method) compile() (mfai.pytorch.lightning_modules.clip.CLIPLightningModule method) (mfai.pytorch.lightning_modules.gan_dgmr.DGMRLightningModule method) (mfai.pytorch.lightning_modules.segmentation.SegmentationLightningModule method) (mfai.pytorch.losses.dgmr.GridCellLoss method) (mfai.pytorch.losses.perceptual.BaseNet method) (mfai.pytorch.losses.perceptual.LinLayers method) (mfai.pytorch.losses.perceptual.LPIPS method) (mfai.pytorch.losses.perceptual.PerceptualLoss method) (mfai.pytorch.losses.perceptual.VGG16 method) (mfai.pytorch.losses.toolbelt.DiceLoss method) (mfai.pytorch.losses.toolbelt.SoftBCEWithLogitsLoss method) (mfai.pytorch.losses.toolbelt.SoftCrossEntropyLoss method) (mfai.pytorch.metrics.CSINeighborhood method) (mfai.pytorch.metrics.FAR method) (mfai.pytorch.metrics.FNR method) (mfai.pytorch.metrics.FSS method) (mfai.pytorch.metrics.PR_AUC method) (mfai.pytorch.transforms.DimensionSubSampler method) (mfai.pytorch.transforms.MeanDimensionSubsampler method) compute() (mfai.pytorch.lightning_modules.clip.CLIPAccuracySkillScore method) (mfai.pytorch.metrics.CSINeighborhood method), [1] (mfai.pytorch.metrics.FAR method), [1] (mfai.pytorch.metrics.FNR method), [1] (mfai.pytorch.metrics.FSS method), [1] (mfai.pytorch.metrics.PR_AUC method), [1] compute_fbs_wfbs() (mfai.pytorch.metrics.FSS method), [1] compute_perceptual_features() (mfai.pytorch.losses.perceptual.PerceptualLoss method), [1] compute_score() (mfai.pytorch.losses.toolbelt.DiceLoss method), [1] concat() (mfai.pytorch.namedtensor.NamedTensor static method) configure_callbacks() (mfai.pytorch.lightning_modules.clip.CLIPLightningModule method) (mfai.pytorch.lightning_modules.gan_dgmr.DGMRLightningModule method) (mfai.pytorch.lightning_modules.segmentation.SegmentationLightningModule method) configure_gradient_clipping() (mfai.pytorch.lightning_modules.clip.CLIPLightningModule method) (mfai.pytorch.lightning_modules.gan_dgmr.DGMRLightningModule method) (mfai.pytorch.lightning_modules.segmentation.SegmentationLightningModule method) configure_model() (mfai.pytorch.lightning_modules.clip.CLIPLightningModule method) (mfai.pytorch.lightning_modules.gan_dgmr.DGMRLightningModule method) (mfai.pytorch.lightning_modules.segmentation.SegmentationLightningModule method) configure_optimizers() (mfai.pytorch.lightning_modules.clip.CLIPLightningModule method), [1] (mfai.pytorch.lightning_modules.CLIPLightningModule method), [1] (mfai.pytorch.lightning_modules.gan_dgmr.DGMRLightningModule method), [1] (mfai.pytorch.lightning_modules.segmentation.SegmentationLightningModule method), [1] (mfai.pytorch.lightning_modules.SegmentationLightningModule method), [1] configure_sharded_model() (mfai.pytorch.lightning_modules.clip.CLIPLightningModule method) (mfai.pytorch.lightning_modules.gan_dgmr.DGMRLightningModule method) (mfai.pytorch.lightning_modules.segmentation.SegmentationLightningModule method) cpu() (mfai.pytorch.lightning_modules.clip.CLIPLightningModule method) (mfai.pytorch.lightning_modules.gan_dgmr.DGMRLightningModule method) (mfai.pytorch.lightning_modules.segmentation.SegmentationLightningModule method) (mfai.pytorch.losses.dgmr.GridCellLoss method) (mfai.pytorch.losses.perceptual.BaseNet method) (mfai.pytorch.losses.perceptual.LinLayers method) (mfai.pytorch.losses.perceptual.LPIPS method) (mfai.pytorch.losses.perceptual.PerceptualLoss method) (mfai.pytorch.losses.perceptual.VGG16 method) (mfai.pytorch.losses.toolbelt.DiceLoss method) (mfai.pytorch.losses.toolbelt.SoftBCEWithLogitsLoss method) (mfai.pytorch.losses.toolbelt.SoftCrossEntropyLoss method) (mfai.pytorch.metrics.CSINeighborhood method) (mfai.pytorch.metrics.FAR method) (mfai.pytorch.metrics.FNR method) (mfai.pytorch.metrics.FSS method) (mfai.pytorch.metrics.PR_AUC method) (mfai.pytorch.transforms.DimensionSubSampler method) (mfai.pytorch.transforms.MeanDimensionSubsampler method) CSINeighborhood (class in mfai.pytorch.metrics), [1] cuda() (mfai.pytorch.lightning_modules.clip.CLIPLightningModule method) (mfai.pytorch.lightning_modules.gan_dgmr.DGMRLightningModule method) (mfai.pytorch.lightning_modules.segmentation.SegmentationLightningModule method) (mfai.pytorch.losses.dgmr.GridCellLoss method) (mfai.pytorch.losses.perceptual.BaseNet method) (mfai.pytorch.losses.perceptual.LinLayers method) (mfai.pytorch.losses.perceptual.LPIPS method) (mfai.pytorch.losses.perceptual.PerceptualLoss method) (mfai.pytorch.losses.perceptual.VGG16 method) (mfai.pytorch.losses.toolbelt.DiceLoss method) (mfai.pytorch.losses.toolbelt.SoftBCEWithLogitsLoss method) (mfai.pytorch.losses.toolbelt.SoftCrossEntropyLoss method) (mfai.pytorch.metrics.CSINeighborhood method) (mfai.pytorch.metrics.FAR method) (mfai.pytorch.metrics.FNR method) (mfai.pytorch.metrics.FSS method) (mfai.pytorch.metrics.PR_AUC method) (mfai.pytorch.transforms.DimensionSubSampler method) (mfai.pytorch.transforms.MeanDimensionSubsampler method) current_epoch (mfai.pytorch.lightning_modules.clip.CLIPLightningModule property) (mfai.pytorch.lightning_modules.gan_dgmr.DGMRLightningModule property) (mfai.pytorch.lightning_modules.segmentation.SegmentationLightningModule property) D device (mfai.pytorch.lightning_modules.clip.CLIPLightningModule property) (mfai.pytorch.lightning_modules.gan_dgmr.DGMRLightningModule property) (mfai.pytorch.lightning_modules.segmentation.SegmentationLightningModule property) (mfai.pytorch.metrics.CSINeighborhood property) (mfai.pytorch.metrics.FAR property) (mfai.pytorch.metrics.FNR property) (mfai.pytorch.metrics.FSS property) (mfai.pytorch.metrics.PR_AUC property) (mfai.pytorch.namedtensor.NamedTensor property) device_mesh (mfai.pytorch.lightning_modules.clip.CLIPLightningModule property) (mfai.pytorch.lightning_modules.gan_dgmr.DGMRLightningModule property) (mfai.pytorch.lightning_modules.segmentation.SegmentationLightningModule property) DGMRLightningModule (class in mfai.pytorch.lightning_modules.gan_dgmr), [1] DiceLoss (class in mfai.pytorch.losses.toolbelt), [1] dim_index() (mfai.pytorch.namedtensor.NamedTensor method) dim_size() (mfai.pytorch.namedtensor.NamedTensor method) DimensionSubSampler (class in mfai.pytorch.transforms), [1] discriminator_step() (mfai.pytorch.lightning_modules.gan_dgmr.DGMRLightningModule method), [1] double() (mfai.pytorch.lightning_modules.clip.CLIPLightningModule method) (mfai.pytorch.lightning_modules.gan_dgmr.DGMRLightningModule method) (mfai.pytorch.lightning_modules.segmentation.SegmentationLightningModule method) (mfai.pytorch.losses.dgmr.GridCellLoss method) (mfai.pytorch.losses.perceptual.BaseNet method) (mfai.pytorch.losses.perceptual.LinLayers method) (mfai.pytorch.losses.perceptual.LPIPS method) (mfai.pytorch.losses.perceptual.PerceptualLoss method) (mfai.pytorch.losses.perceptual.VGG16 method) (mfai.pytorch.losses.toolbelt.DiceLoss method) (mfai.pytorch.losses.toolbelt.SoftBCEWithLogitsLoss method) (mfai.pytorch.losses.toolbelt.SoftCrossEntropyLoss method) (mfai.pytorch.metrics.CSINeighborhood method) (mfai.pytorch.metrics.FAR method) (mfai.pytorch.metrics.FNR method) (mfai.pytorch.metrics.FSS method) (mfai.pytorch.metrics.PR_AUC method) (mfai.pytorch.transforms.DimensionSubSampler method) (mfai.pytorch.transforms.MeanDimensionSubsampler method) download_and_load_gpt2() (in module mfai.tensorflow) download_file() (in module mfai.http) dtype (mfai.pytorch.lightning_modules.clip.CLIPLightningModule property) (mfai.pytorch.lightning_modules.gan_dgmr.DGMRLightningModule property) (mfai.pytorch.lightning_modules.segmentation.SegmentationLightningModule property) (mfai.pytorch.metrics.CSINeighborhood property) (mfai.pytorch.metrics.FAR property) (mfai.pytorch.metrics.FNR property) (mfai.pytorch.metrics.FSS property) (mfai.pytorch.metrics.PR_AUC property) DummyDataModule (class in mfai.pytorch.dummy_dataset) DummyDataset (class in mfai.pytorch.dummy_dataset) DummyMultiModalDataModule (class in mfai.pytorch.dummy_dataset) DummyMultiModalDataset (class in mfai.pytorch.dummy_dataset) dump_patches (mfai.pytorch.lightning_modules.clip.CLIPLightningModule attribute) (mfai.pytorch.lightning_modules.gan_dgmr.DGMRLightningModule attribute) (mfai.pytorch.lightning_modules.segmentation.SegmentationLightningModule attribute) (mfai.pytorch.losses.dgmr.GridCellLoss attribute) (mfai.pytorch.losses.perceptual.BaseNet attribute) (mfai.pytorch.losses.perceptual.LinLayers attribute) (mfai.pytorch.losses.perceptual.LPIPS attribute) (mfai.pytorch.losses.perceptual.PerceptualLoss attribute) (mfai.pytorch.losses.perceptual.VGG16 attribute) (mfai.pytorch.losses.toolbelt.DiceLoss attribute) (mfai.pytorch.losses.toolbelt.SoftBCEWithLogitsLoss attribute) (mfai.pytorch.losses.toolbelt.SoftCrossEntropyLoss attribute) (mfai.pytorch.metrics.CSINeighborhood attribute) (mfai.pytorch.metrics.FAR attribute) (mfai.pytorch.metrics.FNR attribute) (mfai.pytorch.metrics.FSS attribute) (mfai.pytorch.metrics.PR_AUC attribute) (mfai.pytorch.transforms.DimensionSubSampler attribute) (mfai.pytorch.transforms.MeanDimensionSubsampler attribute) E eval() (mfai.pytorch.lightning_modules.clip.CLIPLightningModule method) (mfai.pytorch.lightning_modules.gan_dgmr.DGMRLightningModule method) (mfai.pytorch.lightning_modules.segmentation.SegmentationLightningModule method) (mfai.pytorch.losses.dgmr.GridCellLoss method) (mfai.pytorch.losses.perceptual.BaseNet method) (mfai.pytorch.losses.perceptual.LinLayers method) (mfai.pytorch.losses.perceptual.LPIPS method) (mfai.pytorch.losses.perceptual.PerceptualLoss method) (mfai.pytorch.losses.perceptual.VGG16 method) (mfai.pytorch.losses.toolbelt.DiceLoss method) (mfai.pytorch.losses.toolbelt.SoftBCEWithLogitsLoss method) (mfai.pytorch.losses.toolbelt.SoftCrossEntropyLoss method) (mfai.pytorch.metrics.CSINeighborhood method) (mfai.pytorch.metrics.FAR method) (mfai.pytorch.metrics.FNR method) (mfai.pytorch.metrics.FSS method) (mfai.pytorch.metrics.PR_AUC method) (mfai.pytorch.transforms.DimensionSubSampler method) (mfai.pytorch.transforms.MeanDimensionSubsampler method) example_input_array (mfai.pytorch.lightning_modules.clip.CLIPLightningModule property) (mfai.pytorch.lightning_modules.gan_dgmr.DGMRLightningModule property) (mfai.pytorch.lightning_modules.segmentation.SegmentationLightningModule property) expand_to_batch_like() (mfai.pytorch.namedtensor.NamedTensor static method) export_to_onnx() (in module mfai.pytorch), [1] extend() (mfai.pytorch.losses.perceptual.LinLayers method) extra_repr() (mfai.pytorch.lightning_modules.clip.CLIPLightningModule method) (mfai.pytorch.lightning_modules.gan_dgmr.DGMRLightningModule method) (mfai.pytorch.lightning_modules.segmentation.SegmentationLightningModule method) (mfai.pytorch.losses.dgmr.GridCellLoss method) (mfai.pytorch.losses.perceptual.BaseNet method) (mfai.pytorch.losses.perceptual.LinLayers method) (mfai.pytorch.losses.perceptual.LPIPS method) (mfai.pytorch.losses.perceptual.PerceptualLoss method) (mfai.pytorch.losses.perceptual.VGG16 method) (mfai.pytorch.losses.toolbelt.DiceLoss method) (mfai.pytorch.losses.toolbelt.SoftBCEWithLogitsLoss method) (mfai.pytorch.losses.toolbelt.SoftCrossEntropyLoss method) (mfai.pytorch.metrics.CSINeighborhood method) (mfai.pytorch.metrics.FAR method) (mfai.pytorch.metrics.FNR method) (mfai.pytorch.metrics.FSS method) (mfai.pytorch.metrics.PR_AUC method) (mfai.pytorch.transforms.DimensionSubSampler method) (mfai.pytorch.transforms.MeanDimensionSubsampler method) F fabric (mfai.pytorch.lightning_modules.clip.CLIPLightningModule property) (mfai.pytorch.lightning_modules.gan_dgmr.DGMRLightningModule property) (mfai.pytorch.lightning_modules.segmentation.SegmentationLightningModule property) FAR (class in mfai.pytorch.metrics), [1] feature_dim_idx (mfai.pytorch.namedtensor.NamedTensor property) features_last (mfai.pytorch.models.base.ModelABC property) features_second (mfai.pytorch.models.base.ModelABC property) flatten_() (mfai.pytorch.namedtensor.NamedTensor method) float() (mfai.pytorch.lightning_modules.clip.CLIPLightningModule method) (mfai.pytorch.lightning_modules.gan_dgmr.DGMRLightningModule method) (mfai.pytorch.lightning_modules.segmentation.SegmentationLightningModule method) (mfai.pytorch.losses.dgmr.GridCellLoss method) (mfai.pytorch.losses.perceptual.BaseNet method) (mfai.pytorch.losses.perceptual.LinLayers method) (mfai.pytorch.losses.perceptual.LPIPS method) (mfai.pytorch.losses.perceptual.PerceptualLoss method) 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(mfai.pytorch.losses.perceptual.BaseNet method), [1] (mfai.pytorch.losses.perceptual.LinLayers method) (mfai.pytorch.losses.perceptual.LPIPS method), [1] (mfai.pytorch.losses.perceptual.PerceptualLoss method), [1] (mfai.pytorch.losses.perceptual.VGG16 method), [1] (mfai.pytorch.losses.toolbelt.DiceLoss method), [1] (mfai.pytorch.losses.toolbelt.SoftBCEWithLogitsLoss method), [1] (mfai.pytorch.losses.toolbelt.SoftCrossEntropyLoss method), [1] (mfai.pytorch.metrics.CSINeighborhood method) (mfai.pytorch.metrics.FAR method) (mfai.pytorch.metrics.FNR method) (mfai.pytorch.metrics.FSS method) (mfai.pytorch.metrics.PR_AUC method) (mfai.pytorch.transforms.DimensionSubSampler method), [1] (mfai.pytorch.transforms.MeanDimensionSubsampler method), [1] freeze() (mfai.pytorch.lightning_modules.clip.CLIPLightningModule method) (mfai.pytorch.lightning_modules.gan_dgmr.DGMRLightningModule method) (mfai.pytorch.lightning_modules.segmentation.SegmentationLightningModule method) freeze_llm() (mfai.pytorch.models.llms.FreezeMLMMixin method) freeze_vision() (mfai.pytorch.models.llms.FreezeMLMMixin method) FreezeMLMMixin (class in mfai.pytorch.models.llms) FSS (class in mfai.pytorch.metrics), [1] full_state_update (mfai.pytorch.metrics.CSINeighborhood attribute) (mfai.pytorch.metrics.FAR attribute) (mfai.pytorch.metrics.FNR attribute) (mfai.pytorch.metrics.FSS attribute) (mfai.pytorch.metrics.PR_AUC attribute) G generator_step() (mfai.pytorch.lightning_modules.gan_dgmr.DGMRLightningModule method), [1] get_buffer() (mfai.pytorch.lightning_modules.clip.CLIPLightningModule method) (mfai.pytorch.lightning_modules.gan_dgmr.DGMRLightningModule method) (mfai.pytorch.lightning_modules.segmentation.SegmentationLightningModule method) (mfai.pytorch.losses.dgmr.GridCellLoss method) (mfai.pytorch.losses.perceptual.BaseNet method) (mfai.pytorch.losses.perceptual.LinLayers method) (mfai.pytorch.losses.perceptual.LPIPS method) (mfai.pytorch.losses.perceptual.PerceptualLoss method) 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(mfai.pytorch.lr_scheduler.LinearWarmupCosineAnnealingLR method) get_metrics() (mfai.pytorch.lightning_modules.segmentation.SegmentationLightningModule method), [1] (mfai.pytorch.lightning_modules.SegmentationLightningModule method), [1] get_network() (in module mfai.pytorch.losses.perceptual) get_one_crop() (mfai.pytorch.transforms.RandomCropWithMinPositivePixels method), [1] get_parameter() (mfai.pytorch.lightning_modules.clip.CLIPLightningModule method) (mfai.pytorch.lightning_modules.gan_dgmr.DGMRLightningModule method) (mfai.pytorch.lightning_modules.segmentation.SegmentationLightningModule method) (mfai.pytorch.losses.dgmr.GridCellLoss method) (mfai.pytorch.losses.perceptual.BaseNet method) (mfai.pytorch.losses.perceptual.LinLayers method) (mfai.pytorch.losses.perceptual.LPIPS method) (mfai.pytorch.losses.perceptual.PerceptualLoss method) (mfai.pytorch.losses.perceptual.VGG16 method) (mfai.pytorch.losses.toolbelt.DiceLoss method) 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(mfai.pytorch.metrics.CSINeighborhood attribute) (mfai.pytorch.metrics.FAR attribute) (mfai.pytorch.metrics.FNR attribute) (mfai.pytorch.metrics.FSS attribute) (mfai.pytorch.metrics.PR_AUC attribute) iter_dim() (mfai.pytorch.namedtensor.NamedTensor method) iter_tensor_dim() (mfai.pytorch.namedtensor.NamedTensor method) L label_smoothed_nll_loss() (mfai.pytorch.losses.toolbelt.SoftCrossEntropyLoss method), [1] last_activation() (mfai.pytorch.lightning_modules.segmentation.SegmentationLightningModule method), [1] (mfai.pytorch.lightning_modules.SegmentationLightningModule method), [1] LinearWarmupCosineAnnealingLR (class in mfai.pytorch.lr_scheduler) LinLayers (class in mfai.pytorch.losses.perceptual), [1] load_from_checkpoint() (mfai.pytorch.lightning_modules.clip.CLIPLightningModule method) (mfai.pytorch.lightning_modules.gan_dgmr.DGMRLightningModule method) (mfai.pytorch.lightning_modules.segmentation.SegmentationLightningModule method) load_state_dict() (mfai.pytorch.callbacks.MLFlowSaveConfigCallback method) (mfai.pytorch.callbacks.MLFlowSystemMonitorCallback method) (mfai.pytorch.lightning_modules.clip.CLIPLightningModule method) (mfai.pytorch.lightning_modules.clip.SaveCLIPVisualEncoderWeights method) (mfai.pytorch.lightning_modules.gan_dgmr.DGMRLightningModule method) (mfai.pytorch.lightning_modules.segmentation.SegmentationLightningModule method) (mfai.pytorch.losses.dgmr.GridCellLoss method) (mfai.pytorch.losses.perceptual.BaseNet method) (mfai.pytorch.losses.perceptual.LinLayers method) (mfai.pytorch.losses.perceptual.LPIPS method) (mfai.pytorch.losses.perceptual.PerceptualLoss method) (mfai.pytorch.losses.perceptual.VGG16 method) (mfai.pytorch.losses.toolbelt.DiceLoss method) (mfai.pytorch.losses.toolbelt.SoftBCEWithLogitsLoss method) (mfai.pytorch.losses.toolbelt.SoftCrossEntropyLoss method) (mfai.pytorch.metrics.CSINeighborhood method) (mfai.pytorch.metrics.FAR method) (mfai.pytorch.metrics.FNR method) (mfai.pytorch.metrics.FSS method) (mfai.pytorch.metrics.PR_AUC method) (mfai.pytorch.transforms.DimensionSubSampler method) (mfai.pytorch.transforms.MeanDimensionSubsampler method) load_weights_from_tf_checkpoint() (in module mfai.tensorflow) local_rank (mfai.pytorch.lightning_modules.clip.CLIPLightningModule property) (mfai.pytorch.lightning_modules.gan_dgmr.DGMRLightningModule property) (mfai.pytorch.lightning_modules.segmentation.SegmentationLightningModule property) log() (mfai.pytorch.lightning_modules.clip.CLIPLightningModule method) (mfai.pytorch.lightning_modules.gan_dgmr.DGMRLightningModule method) (mfai.pytorch.lightning_modules.segmentation.SegmentationLightningModule method) log_dict() (mfai.pytorch.lightning_modules.clip.CLIPLightningModule method) (mfai.pytorch.lightning_modules.gan_dgmr.DGMRLightningModule method) (mfai.pytorch.lightning_modules.segmentation.SegmentationLightningModule method) logger (mfai.pytorch.lightning_modules.clip.CLIPLightningModule property) (mfai.pytorch.lightning_modules.gan_dgmr.DGMRLightningModule property) (mfai.pytorch.lightning_modules.segmentation.SegmentationLightningModule property) loggers (mfai.pytorch.lightning_modules.clip.CLIPLightningModule property) (mfai.pytorch.lightning_modules.gan_dgmr.DGMRLightningModule property) (mfai.pytorch.lightning_modules.segmentation.SegmentationLightningModule property) loss_hinge_disc() (in module mfai.pytorch.losses.dgmr) loss_hinge_gen() (in module mfai.pytorch.losses.dgmr) LPIPS (class in mfai.pytorch.losses.perceptual), [1] lr_scheduler_step() (mfai.pytorch.lightning_modules.clip.CLIPLightningModule method) (mfai.pytorch.lightning_modules.gan_dgmr.DGMRLightningModule method) (mfai.pytorch.lightning_modules.segmentation.SegmentationLightningModule method) lr_schedulers() (mfai.pytorch.lightning_modules.clip.CLIPLightningModule method) (mfai.pytorch.lightning_modules.gan_dgmr.DGMRLightningModule method) (mfai.pytorch.lightning_modules.segmentation.SegmentationLightningModule method) M manual_backward() (mfai.pytorch.lightning_modules.clip.CLIPLightningModule method) (mfai.pytorch.lightning_modules.gan_dgmr.DGMRLightningModule method) (mfai.pytorch.lightning_modules.segmentation.SegmentationLightningModule method) MeanDimensionSubsampler (class in mfai.pytorch.transforms), [1] merge_state() (mfai.pytorch.metrics.CSINeighborhood method) (mfai.pytorch.metrics.FAR method) (mfai.pytorch.metrics.FNR method) (mfai.pytorch.metrics.FSS method) (mfai.pytorch.metrics.PR_AUC method) metric_state (mfai.pytorch.metrics.CSINeighborhood property) (mfai.pytorch.metrics.FAR property) (mfai.pytorch.metrics.FNR property) (mfai.pytorch.metrics.FSS property) (mfai.pytorch.metrics.PR_AUC property) mfai module, [1] mfai.encoding module mfai.http module mfai.pytorch module, [1] mfai.pytorch.callbacks module mfai.pytorch.dummy_dataset module mfai.pytorch.lightning_modules module, [1] mfai.pytorch.lightning_modules.clip module mfai.pytorch.lightning_modules.gan_dgmr module mfai.pytorch.lightning_modules.segmentation module mfai.pytorch.losses module, [1] mfai.pytorch.losses.dgmr module mfai.pytorch.losses.perceptual module mfai.pytorch.losses.toolbelt module mfai.pytorch.lr_scheduler module mfai.pytorch.metrics module mfai.pytorch.models.dgmr module mfai.pytorch.models.dgmr.layers module mfai.pytorch.models.llms module mfai.pytorch.namedtensor module mfai.pytorch.padding module mfai.pytorch.transforms module mfai.tensorflow module MLFlowSaveConfigCallback (class in mfai.pytorch.callbacks), [1] MLFlowSystemMonitorCallback (class in mfai.pytorch.callbacks), [1] model_type (mfai.pytorch.models.base.ModelABC property) ModelABC (class in mfai.pytorch.models.base) module mfai, [1] mfai.encoding mfai.http mfai.pytorch, [1] mfai.pytorch.callbacks mfai.pytorch.dummy_dataset mfai.pytorch.lightning_modules, [1] mfai.pytorch.lightning_modules.clip mfai.pytorch.lightning_modules.gan_dgmr mfai.pytorch.lightning_modules.segmentation mfai.pytorch.losses, [1] mfai.pytorch.losses.dgmr mfai.pytorch.losses.perceptual mfai.pytorch.losses.toolbelt mfai.pytorch.lr_scheduler mfai.pytorch.metrics mfai.pytorch.models.dgmr mfai.pytorch.models.dgmr.layers mfai.pytorch.models.llms mfai.pytorch.namedtensor mfai.pytorch.padding mfai.pytorch.transforms mfai.tensorflow modules() (mfai.pytorch.lightning_modules.clip.CLIPLightningModule method) (mfai.pytorch.lightning_modules.gan_dgmr.DGMRLightningModule method) (mfai.pytorch.lightning_modules.segmentation.SegmentationLightningModule method) (mfai.pytorch.losses.dgmr.GridCellLoss method) (mfai.pytorch.losses.perceptual.BaseNet method) (mfai.pytorch.losses.perceptual.LinLayers method) (mfai.pytorch.losses.perceptual.LPIPS method) (mfai.pytorch.losses.perceptual.PerceptualLoss method) (mfai.pytorch.losses.perceptual.VGG16 method) (mfai.pytorch.losses.toolbelt.DiceLoss method) 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(mfai.pytorch.lightning_modules.gan_dgmr.DGMRLightningModule method) (mfai.pytorch.lightning_modules.segmentation.SegmentationLightningModule method) on_validation_batch_start() (mfai.pytorch.callbacks.MLFlowSaveConfigCallback method) (mfai.pytorch.callbacks.MLFlowSystemMonitorCallback method) (mfai.pytorch.lightning_modules.clip.CLIPLightningModule method) (mfai.pytorch.lightning_modules.clip.SaveCLIPVisualEncoderWeights method) (mfai.pytorch.lightning_modules.gan_dgmr.DGMRLightningModule method) (mfai.pytorch.lightning_modules.segmentation.SegmentationLightningModule method) on_validation_end() (mfai.pytorch.callbacks.MLFlowSaveConfigCallback method) (mfai.pytorch.callbacks.MLFlowSystemMonitorCallback method) (mfai.pytorch.lightning_modules.clip.CLIPLightningModule method) (mfai.pytorch.lightning_modules.clip.SaveCLIPVisualEncoderWeights method) (mfai.pytorch.lightning_modules.gan_dgmr.DGMRLightningModule method) (mfai.pytorch.lightning_modules.segmentation.SegmentationLightningModule method) on_validation_epoch_end() (mfai.pytorch.callbacks.MLFlowSaveConfigCallback method) (mfai.pytorch.callbacks.MLFlowSystemMonitorCallback method) (mfai.pytorch.lightning_modules.clip.CLIPLightningModule method) (mfai.pytorch.lightning_modules.clip.SaveCLIPVisualEncoderWeights method), [1] (mfai.pytorch.lightning_modules.gan_dgmr.DGMRLightningModule method) (mfai.pytorch.lightning_modules.segmentation.SegmentationLightningModule method), [1] (mfai.pytorch.lightning_modules.SegmentationLightningModule method), [1] on_validation_epoch_start() (mfai.pytorch.callbacks.MLFlowSaveConfigCallback method) (mfai.pytorch.callbacks.MLFlowSystemMonitorCallback method) (mfai.pytorch.lightning_modules.clip.CLIPLightningModule method) (mfai.pytorch.lightning_modules.clip.SaveCLIPVisualEncoderWeights method) (mfai.pytorch.lightning_modules.gan_dgmr.DGMRLightningModule method) (mfai.pytorch.lightning_modules.segmentation.SegmentationLightningModule method) on_validation_model_eval() (mfai.pytorch.lightning_modules.clip.CLIPLightningModule method) (mfai.pytorch.lightning_modules.gan_dgmr.DGMRLightningModule method) (mfai.pytorch.lightning_modules.segmentation.SegmentationLightningModule method) on_validation_model_train() (mfai.pytorch.lightning_modules.clip.CLIPLightningModule method) (mfai.pytorch.lightning_modules.gan_dgmr.DGMRLightningModule method) (mfai.pytorch.lightning_modules.segmentation.SegmentationLightningModule method) on_validation_model_zero_grad() (mfai.pytorch.lightning_modules.clip.CLIPLightningModule method) (mfai.pytorch.lightning_modules.gan_dgmr.DGMRLightningModule method) (mfai.pytorch.lightning_modules.segmentation.SegmentationLightningModule method) on_validation_start() (mfai.pytorch.callbacks.MLFlowSaveConfigCallback method) (mfai.pytorch.callbacks.MLFlowSystemMonitorCallback method) (mfai.pytorch.lightning_modules.clip.CLIPLightningModule method) (mfai.pytorch.lightning_modules.clip.SaveCLIPVisualEncoderWeights method) (mfai.pytorch.lightning_modules.gan_dgmr.DGMRLightningModule method) (mfai.pytorch.lightning_modules.segmentation.SegmentationLightningModule method), [1] (mfai.pytorch.lightning_modules.SegmentationLightningModule method), [1] onnx_load_and_infer() (in module mfai.pytorch), [1] onnx_supported (mfai.pytorch.models.base.ModelABC property) optimizer_step() (mfai.pytorch.lightning_modules.clip.CLIPLightningModule method) (mfai.pytorch.lightning_modules.gan_dgmr.DGMRLightningModule method) (mfai.pytorch.lightning_modules.segmentation.SegmentationLightningModule method) optimizer_zero_grad() (mfai.pytorch.lightning_modules.clip.CLIPLightningModule method) (mfai.pytorch.lightning_modules.gan_dgmr.DGMRLightningModule method) (mfai.pytorch.lightning_modules.segmentation.SegmentationLightningModule method) optimizers() (mfai.pytorch.lightning_modules.clip.CLIPLightningModule method) (mfai.pytorch.lightning_modules.gan_dgmr.DGMRLightningModule method) (mfai.pytorch.lightning_modules.segmentation.SegmentationLightningModule method) out_channels (mfai.pytorch.models.base.ModelABC attribute) P pad_batch() (in module mfai.pytorch.padding) parameters() (mfai.pytorch.lightning_modules.clip.CLIPLightningModule method) (mfai.pytorch.lightning_modules.gan_dgmr.DGMRLightningModule method) (mfai.pytorch.lightning_modules.segmentation.SegmentationLightningModule method) (mfai.pytorch.losses.dgmr.GridCellLoss method) (mfai.pytorch.losses.perceptual.BaseNet method) (mfai.pytorch.losses.perceptual.LinLayers method) (mfai.pytorch.losses.perceptual.LPIPS method) (mfai.pytorch.losses.perceptual.PerceptualLoss method) (mfai.pytorch.losses.perceptual.VGG16 method) (mfai.pytorch.losses.toolbelt.DiceLoss method) (mfai.pytorch.losses.toolbelt.SoftBCEWithLogitsLoss method) (mfai.pytorch.losses.toolbelt.SoftCrossEntropyLoss method) (mfai.pytorch.metrics.CSINeighborhood method) (mfai.pytorch.metrics.FAR method) (mfai.pytorch.metrics.FNR method) (mfai.pytorch.metrics.FSS method) (mfai.pytorch.metrics.PR_AUC method) (mfai.pytorch.transforms.DimensionSubSampler method) (mfai.pytorch.transforms.MeanDimensionSubsampler method) PerceptualLoss (class in mfai.pytorch.losses.perceptual), [1] persistent() (mfai.pytorch.metrics.CSINeighborhood method) (mfai.pytorch.metrics.FAR method) (mfai.pytorch.metrics.FNR method) (mfai.pytorch.metrics.FSS method) (mfai.pytorch.metrics.PR_AUC method) pin_memory_() (mfai.pytorch.namedtensor.NamedTensor method) plot() (mfai.pytorch.metrics.CSINeighborhood method) (mfai.pytorch.metrics.FAR method) (mfai.pytorch.metrics.FNR method) (mfai.pytorch.metrics.FSS method) (mfai.pytorch.metrics.PR_AUC method) plot_legend_name (mfai.pytorch.metrics.CSINeighborhood attribute) (mfai.pytorch.metrics.FAR attribute) (mfai.pytorch.metrics.FNR attribute) (mfai.pytorch.metrics.FSS attribute) (mfai.pytorch.metrics.PR_AUC attribute) plot_lower_bound (mfai.pytorch.metrics.CSINeighborhood attribute) (mfai.pytorch.metrics.FAR attribute) (mfai.pytorch.metrics.FNR attribute) (mfai.pytorch.metrics.FSS attribute) (mfai.pytorch.metrics.PR_AUC attribute) plot_probabilities_matrix() (mfai.pytorch.lightning_modules.clip.CLIPLightningModule method), [1] (mfai.pytorch.lightning_modules.CLIPLightningModule method), [1] plot_upper_bound (mfai.pytorch.metrics.CSINeighborhood attribute) (mfai.pytorch.metrics.FAR attribute) (mfai.pytorch.metrics.FNR attribute) (mfai.pytorch.metrics.FSS attribute) (mfai.pytorch.metrics.PR_AUC attribute) pop() (mfai.pytorch.losses.perceptual.LinLayers method) PR_AUC (class in mfai.pytorch.metrics), [1] predict_dataloader() (mfai.pytorch.dummy_dataset.DummyDataModule method) (mfai.pytorch.lightning_modules.clip.CLIPLightningModule method) (mfai.pytorch.lightning_modules.gan_dgmr.DGMRLightningModule method) (mfai.pytorch.lightning_modules.segmentation.SegmentationLightningModule method) predict_step() (mfai.pytorch.lightning_modules.clip.CLIPLightningModule method) (mfai.pytorch.lightning_modules.gan_dgmr.DGMRLightningModule method) (mfai.pytorch.lightning_modules.segmentation.SegmentationLightningModule method) prepare_data() (mfai.pytorch.lightning_modules.clip.CLIPLightningModule method) (mfai.pytorch.lightning_modules.gan_dgmr.DGMRLightningModule method) (mfai.pytorch.lightning_modules.segmentation.SegmentationLightningModule method) prepare_data_per_node (mfai.pytorch.lightning_modules.CLIPLightningModule attribute) (mfai.pytorch.lightning_modules.SegmentationLightningModule attribute) print() (mfai.pytorch.lightning_modules.clip.CLIPLightningModule method) (mfai.pytorch.lightning_modules.gan_dgmr.DGMRLightningModule method) (mfai.pytorch.lightning_modules.segmentation.SegmentationLightningModule method) probabilities_to_classes() (mfai.pytorch.lightning_modules.segmentation.SegmentationLightningModule method), [1] (mfai.pytorch.lightning_modules.SegmentationLightningModule method), [1] R RandomCropWithMinPositivePixels (class in mfai.pytorch.transforms), [1] rearrange_() (mfai.pytorch.namedtensor.NamedTensor method) reduction (mfai.pytorch.losses.toolbelt.DiceLoss attribute) register (mfai.pytorch.models.base.ModelABC attribute) register_backward_hook() (mfai.pytorch.lightning_modules.clip.CLIPLightningModule method) (mfai.pytorch.lightning_modules.gan_dgmr.DGMRLightningModule method) (mfai.pytorch.lightning_modules.segmentation.SegmentationLightningModule method) (mfai.pytorch.losses.dgmr.GridCellLoss method) (mfai.pytorch.losses.perceptual.BaseNet method) (mfai.pytorch.losses.perceptual.LinLayers method) (mfai.pytorch.losses.perceptual.LPIPS method) (mfai.pytorch.losses.perceptual.PerceptualLoss method) (mfai.pytorch.losses.perceptual.VGG16 method) (mfai.pytorch.losses.toolbelt.DiceLoss method) (mfai.pytorch.losses.toolbelt.SoftBCEWithLogitsLoss method) (mfai.pytorch.losses.toolbelt.SoftCrossEntropyLoss method) (mfai.pytorch.metrics.CSINeighborhood method) (mfai.pytorch.metrics.FAR method) (mfai.pytorch.metrics.FNR method) (mfai.pytorch.metrics.FSS method) (mfai.pytorch.metrics.PR_AUC method) (mfai.pytorch.transforms.DimensionSubSampler method) (mfai.pytorch.transforms.MeanDimensionSubsampler method) register_buffer() (mfai.pytorch.lightning_modules.clip.CLIPLightningModule method) (mfai.pytorch.lightning_modules.gan_dgmr.DGMRLightningModule method) (mfai.pytorch.lightning_modules.segmentation.SegmentationLightningModule method) (mfai.pytorch.losses.dgmr.GridCellLoss method) (mfai.pytorch.losses.perceptual.BaseNet method) (mfai.pytorch.losses.perceptual.LinLayers method) (mfai.pytorch.losses.perceptual.LPIPS method) (mfai.pytorch.losses.perceptual.PerceptualLoss method) (mfai.pytorch.losses.perceptual.VGG16 method) (mfai.pytorch.losses.toolbelt.DiceLoss method) (mfai.pytorch.losses.toolbelt.SoftBCEWithLogitsLoss method) (mfai.pytorch.losses.toolbelt.SoftCrossEntropyLoss method) (mfai.pytorch.metrics.CSINeighborhood method) (mfai.pytorch.metrics.FAR method) (mfai.pytorch.metrics.FNR method) (mfai.pytorch.metrics.FSS method) (mfai.pytorch.metrics.PR_AUC method) (mfai.pytorch.transforms.DimensionSubSampler method) (mfai.pytorch.transforms.MeanDimensionSubsampler method) register_forward_hook() (mfai.pytorch.lightning_modules.clip.CLIPLightningModule method) (mfai.pytorch.lightning_modules.gan_dgmr.DGMRLightningModule method) (mfai.pytorch.lightning_modules.segmentation.SegmentationLightningModule method) (mfai.pytorch.losses.dgmr.GridCellLoss method) (mfai.pytorch.losses.perceptual.BaseNet method) (mfai.pytorch.losses.perceptual.LinLayers method) (mfai.pytorch.losses.perceptual.LPIPS method) (mfai.pytorch.losses.perceptual.PerceptualLoss method) (mfai.pytorch.losses.perceptual.VGG16 method) (mfai.pytorch.losses.toolbelt.DiceLoss method) (mfai.pytorch.losses.toolbelt.SoftBCEWithLogitsLoss method) (mfai.pytorch.losses.toolbelt.SoftCrossEntropyLoss method) (mfai.pytorch.metrics.CSINeighborhood method) (mfai.pytorch.metrics.FAR method) (mfai.pytorch.metrics.FNR method) (mfai.pytorch.metrics.FSS method) (mfai.pytorch.metrics.PR_AUC method) (mfai.pytorch.transforms.DimensionSubSampler method) (mfai.pytorch.transforms.MeanDimensionSubsampler method) register_forward_pre_hook() (mfai.pytorch.lightning_modules.clip.CLIPLightningModule method) (mfai.pytorch.lightning_modules.gan_dgmr.DGMRLightningModule method) (mfai.pytorch.lightning_modules.segmentation.SegmentationLightningModule method) (mfai.pytorch.losses.dgmr.GridCellLoss method) (mfai.pytorch.losses.perceptual.BaseNet method) (mfai.pytorch.losses.perceptual.LinLayers method) (mfai.pytorch.losses.perceptual.LPIPS method) (mfai.pytorch.losses.perceptual.PerceptualLoss method) (mfai.pytorch.losses.perceptual.VGG16 method) (mfai.pytorch.losses.toolbelt.DiceLoss method) (mfai.pytorch.losses.toolbelt.SoftBCEWithLogitsLoss method) (mfai.pytorch.losses.toolbelt.SoftCrossEntropyLoss method) (mfai.pytorch.metrics.CSINeighborhood method) (mfai.pytorch.metrics.FAR method) (mfai.pytorch.metrics.FNR method) (mfai.pytorch.metrics.FSS method) (mfai.pytorch.metrics.PR_AUC method) (mfai.pytorch.transforms.DimensionSubSampler method) (mfai.pytorch.transforms.MeanDimensionSubsampler method) register_full_backward_hook() (mfai.pytorch.lightning_modules.clip.CLIPLightningModule method) (mfai.pytorch.lightning_modules.gan_dgmr.DGMRLightningModule method) (mfai.pytorch.lightning_modules.segmentation.SegmentationLightningModule method) (mfai.pytorch.losses.dgmr.GridCellLoss method) (mfai.pytorch.losses.perceptual.BaseNet method) (mfai.pytorch.losses.perceptual.LinLayers method) (mfai.pytorch.losses.perceptual.LPIPS method) (mfai.pytorch.losses.perceptual.PerceptualLoss method) (mfai.pytorch.losses.perceptual.VGG16 method) (mfai.pytorch.losses.toolbelt.DiceLoss method) (mfai.pytorch.losses.toolbelt.SoftBCEWithLogitsLoss method) (mfai.pytorch.losses.toolbelt.SoftCrossEntropyLoss method) (mfai.pytorch.metrics.CSINeighborhood method) (mfai.pytorch.metrics.FAR method) (mfai.pytorch.metrics.FNR method) (mfai.pytorch.metrics.FSS method) (mfai.pytorch.metrics.PR_AUC method) (mfai.pytorch.transforms.DimensionSubSampler method) (mfai.pytorch.transforms.MeanDimensionSubsampler method) register_full_backward_pre_hook() (mfai.pytorch.lightning_modules.clip.CLIPLightningModule method) (mfai.pytorch.lightning_modules.gan_dgmr.DGMRLightningModule method) (mfai.pytorch.lightning_modules.segmentation.SegmentationLightningModule method) (mfai.pytorch.losses.dgmr.GridCellLoss method) (mfai.pytorch.losses.perceptual.BaseNet method) (mfai.pytorch.losses.perceptual.LinLayers method) (mfai.pytorch.losses.perceptual.LPIPS method) (mfai.pytorch.losses.perceptual.PerceptualLoss method) (mfai.pytorch.losses.perceptual.VGG16 method) (mfai.pytorch.losses.toolbelt.DiceLoss method) (mfai.pytorch.losses.toolbelt.SoftBCEWithLogitsLoss method) (mfai.pytorch.losses.toolbelt.SoftCrossEntropyLoss method) (mfai.pytorch.metrics.CSINeighborhood method) (mfai.pytorch.metrics.FAR method) (mfai.pytorch.metrics.FNR method) (mfai.pytorch.metrics.FSS method) (mfai.pytorch.metrics.PR_AUC method) (mfai.pytorch.transforms.DimensionSubSampler method) (mfai.pytorch.transforms.MeanDimensionSubsampler method) register_load_state_dict_post_hook() (mfai.pytorch.lightning_modules.clip.CLIPLightningModule method) (mfai.pytorch.lightning_modules.gan_dgmr.DGMRLightningModule method) (mfai.pytorch.lightning_modules.segmentation.SegmentationLightningModule method) (mfai.pytorch.losses.dgmr.GridCellLoss method) (mfai.pytorch.losses.perceptual.BaseNet method) (mfai.pytorch.losses.perceptual.LinLayers method) (mfai.pytorch.losses.perceptual.LPIPS method) (mfai.pytorch.losses.perceptual.PerceptualLoss method) (mfai.pytorch.losses.perceptual.VGG16 method) (mfai.pytorch.losses.toolbelt.DiceLoss method) (mfai.pytorch.losses.toolbelt.SoftBCEWithLogitsLoss method) (mfai.pytorch.losses.toolbelt.SoftCrossEntropyLoss method) (mfai.pytorch.metrics.CSINeighborhood method) (mfai.pytorch.metrics.FAR method) (mfai.pytorch.metrics.FNR method) (mfai.pytorch.metrics.FSS method) (mfai.pytorch.metrics.PR_AUC method) (mfai.pytorch.transforms.DimensionSubSampler method) (mfai.pytorch.transforms.MeanDimensionSubsampler method) register_load_state_dict_pre_hook() (mfai.pytorch.lightning_modules.clip.CLIPLightningModule method) (mfai.pytorch.lightning_modules.gan_dgmr.DGMRLightningModule method) (mfai.pytorch.lightning_modules.segmentation.SegmentationLightningModule method) (mfai.pytorch.losses.dgmr.GridCellLoss method) (mfai.pytorch.losses.perceptual.BaseNet method) (mfai.pytorch.losses.perceptual.LinLayers method) (mfai.pytorch.losses.perceptual.LPIPS method) (mfai.pytorch.losses.perceptual.PerceptualLoss method) (mfai.pytorch.losses.perceptual.VGG16 method) (mfai.pytorch.losses.toolbelt.DiceLoss method) (mfai.pytorch.losses.toolbelt.SoftBCEWithLogitsLoss method) (mfai.pytorch.losses.toolbelt.SoftCrossEntropyLoss method) (mfai.pytorch.metrics.CSINeighborhood method) (mfai.pytorch.metrics.FAR method) (mfai.pytorch.metrics.FNR method) (mfai.pytorch.metrics.FSS method) (mfai.pytorch.metrics.PR_AUC method) (mfai.pytorch.transforms.DimensionSubSampler method) (mfai.pytorch.transforms.MeanDimensionSubsampler method) register_module() (mfai.pytorch.lightning_modules.clip.CLIPLightningModule method) (mfai.pytorch.lightning_modules.gan_dgmr.DGMRLightningModule method) (mfai.pytorch.lightning_modules.segmentation.SegmentationLightningModule method) (mfai.pytorch.losses.dgmr.GridCellLoss method) (mfai.pytorch.losses.perceptual.BaseNet method) (mfai.pytorch.losses.perceptual.LinLayers method) (mfai.pytorch.losses.perceptual.LPIPS method) (mfai.pytorch.losses.perceptual.PerceptualLoss method) (mfai.pytorch.losses.perceptual.VGG16 method) (mfai.pytorch.losses.toolbelt.DiceLoss method) (mfai.pytorch.losses.toolbelt.SoftBCEWithLogitsLoss method) (mfai.pytorch.losses.toolbelt.SoftCrossEntropyLoss method) (mfai.pytorch.metrics.CSINeighborhood method) (mfai.pytorch.metrics.FAR method) (mfai.pytorch.metrics.FNR method) (mfai.pytorch.metrics.FSS method) (mfai.pytorch.metrics.PR_AUC method) (mfai.pytorch.transforms.DimensionSubSampler method) (mfai.pytorch.transforms.MeanDimensionSubsampler method) register_parameter() (mfai.pytorch.lightning_modules.clip.CLIPLightningModule method) (mfai.pytorch.lightning_modules.gan_dgmr.DGMRLightningModule method) (mfai.pytorch.lightning_modules.segmentation.SegmentationLightningModule method) (mfai.pytorch.losses.dgmr.GridCellLoss method) (mfai.pytorch.losses.perceptual.BaseNet method) (mfai.pytorch.losses.perceptual.LinLayers method) (mfai.pytorch.losses.perceptual.LPIPS method) (mfai.pytorch.losses.perceptual.PerceptualLoss method) (mfai.pytorch.losses.perceptual.VGG16 method) (mfai.pytorch.losses.toolbelt.DiceLoss method) (mfai.pytorch.losses.toolbelt.SoftBCEWithLogitsLoss method) (mfai.pytorch.losses.toolbelt.SoftCrossEntropyLoss method) (mfai.pytorch.metrics.CSINeighborhood method) (mfai.pytorch.metrics.FAR method) (mfai.pytorch.metrics.FNR method) (mfai.pytorch.metrics.FSS method) (mfai.pytorch.metrics.PR_AUC method) (mfai.pytorch.transforms.DimensionSubSampler method) (mfai.pytorch.transforms.MeanDimensionSubsampler method) register_state_dict_post_hook() (mfai.pytorch.lightning_modules.clip.CLIPLightningModule method) (mfai.pytorch.lightning_modules.gan_dgmr.DGMRLightningModule method) (mfai.pytorch.lightning_modules.segmentation.SegmentationLightningModule method) (mfai.pytorch.losses.dgmr.GridCellLoss method) (mfai.pytorch.losses.perceptual.BaseNet method) (mfai.pytorch.losses.perceptual.LinLayers method) (mfai.pytorch.losses.perceptual.LPIPS method) (mfai.pytorch.losses.perceptual.PerceptualLoss method) (mfai.pytorch.losses.perceptual.VGG16 method) (mfai.pytorch.losses.toolbelt.DiceLoss method) (mfai.pytorch.losses.toolbelt.SoftBCEWithLogitsLoss method) (mfai.pytorch.losses.toolbelt.SoftCrossEntropyLoss method) (mfai.pytorch.metrics.CSINeighborhood method) (mfai.pytorch.metrics.FAR method) (mfai.pytorch.metrics.FNR method) (mfai.pytorch.metrics.FSS method) (mfai.pytorch.metrics.PR_AUC method) (mfai.pytorch.transforms.DimensionSubSampler method) (mfai.pytorch.transforms.MeanDimensionSubsampler method) register_state_dict_pre_hook() (mfai.pytorch.lightning_modules.clip.CLIPLightningModule method) (mfai.pytorch.lightning_modules.gan_dgmr.DGMRLightningModule method) (mfai.pytorch.lightning_modules.segmentation.SegmentationLightningModule method) (mfai.pytorch.losses.dgmr.GridCellLoss method) (mfai.pytorch.losses.perceptual.BaseNet method) (mfai.pytorch.losses.perceptual.LinLayers method) (mfai.pytorch.losses.perceptual.LPIPS method) (mfai.pytorch.losses.perceptual.PerceptualLoss method) (mfai.pytorch.losses.perceptual.VGG16 method) (mfai.pytorch.losses.toolbelt.DiceLoss method) (mfai.pytorch.losses.toolbelt.SoftBCEWithLogitsLoss method) (mfai.pytorch.losses.toolbelt.SoftCrossEntropyLoss method) (mfai.pytorch.metrics.CSINeighborhood method) (mfai.pytorch.metrics.FAR method) (mfai.pytorch.metrics.FNR method) (mfai.pytorch.metrics.FSS method) (mfai.pytorch.metrics.PR_AUC method) (mfai.pytorch.transforms.DimensionSubSampler method) (mfai.pytorch.transforms.MeanDimensionSubsampler method) remove_ignored_hparams() (mfai.pytorch.lightning_modules.clip.CLIPLightningModule method) (mfai.pytorch.lightning_modules.gan_dgmr.DGMRLightningModule method) (mfai.pytorch.lightning_modules.segmentation.SegmentationLightningModule method) requires_grad_() (mfai.pytorch.lightning_modules.clip.CLIPLightningModule method) (mfai.pytorch.lightning_modules.gan_dgmr.DGMRLightningModule method) (mfai.pytorch.lightning_modules.segmentation.SegmentationLightningModule method) (mfai.pytorch.losses.dgmr.GridCellLoss method) (mfai.pytorch.losses.perceptual.BaseNet method) (mfai.pytorch.losses.perceptual.LinLayers method) (mfai.pytorch.losses.perceptual.LPIPS method) (mfai.pytorch.losses.perceptual.PerceptualLoss method) (mfai.pytorch.losses.perceptual.VGG16 method) (mfai.pytorch.losses.toolbelt.DiceLoss method) (mfai.pytorch.losses.toolbelt.SoftBCEWithLogitsLoss method) (mfai.pytorch.losses.toolbelt.SoftCrossEntropyLoss method) (mfai.pytorch.metrics.CSINeighborhood method) (mfai.pytorch.metrics.FAR method) (mfai.pytorch.metrics.FNR method) (mfai.pytorch.metrics.FSS method) (mfai.pytorch.metrics.PR_AUC method) (mfai.pytorch.transforms.DimensionSubSampler method) (mfai.pytorch.transforms.MeanDimensionSubsampler method) reset() (mfai.pytorch.metrics.CSINeighborhood method) (mfai.pytorch.metrics.FAR method) (mfai.pytorch.metrics.FNR method) (mfai.pytorch.metrics.FSS method) (mfai.pytorch.metrics.PR_AUC method) S save_config() (mfai.pytorch.callbacks.MLFlowSaveConfigCallback method), [1] save_hyperparameters() 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(mfai.pytorch.metrics.PR_AUC method) untoggle_optimizer() (mfai.pytorch.lightning_modules.clip.CLIPLightningModule method) (mfai.pytorch.lightning_modules.gan_dgmr.DGMRLightningModule method) (mfai.pytorch.lightning_modules.segmentation.SegmentationLightningModule method) update() (mfai.pytorch.lightning_modules.clip.CLIPAccuracySkillScore method) (mfai.pytorch.metrics.CSINeighborhood method), [1] (mfai.pytorch.metrics.FAR method), [1] (mfai.pytorch.metrics.FNR method), [1] (mfai.pytorch.metrics.FSS method), [1] (mfai.pytorch.metrics.PR_AUC method), [1] update_called (mfai.pytorch.metrics.CSINeighborhood property) (mfai.pytorch.metrics.FAR property) (mfai.pytorch.metrics.FNR property) (mfai.pytorch.metrics.FSS property) (mfai.pytorch.metrics.PR_AUC property) update_count (mfai.pytorch.metrics.CSINeighborhood property) (mfai.pytorch.metrics.FAR property) (mfai.pytorch.metrics.FNR property) (mfai.pytorch.metrics.FSS property) (mfai.pytorch.metrics.PR_AUC property) V val_dataloader() (mfai.pytorch.dummy_dataset.DummyDataModule method) (mfai.pytorch.dummy_dataset.DummyMultiModalDataModule method) (mfai.pytorch.lightning_modules.clip.CLIPLightningModule method) (mfai.pytorch.lightning_modules.gan_dgmr.DGMRLightningModule method) (mfai.pytorch.lightning_modules.segmentation.SegmentationLightningModule method) val_plot_step() (mfai.pytorch.lightning_modules.segmentation.SegmentationLightningModule method), [1] (mfai.pytorch.lightning_modules.SegmentationLightningModule method), [1] validation_step() (mfai.pytorch.lightning_modules.clip.CLIPLightningModule method), [1] (mfai.pytorch.lightning_modules.CLIPLightningModule method), [1] (mfai.pytorch.lightning_modules.gan_dgmr.DGMRLightningModule method) (mfai.pytorch.lightning_modules.segmentation.SegmentationLightningModule method), [1] (mfai.pytorch.lightning_modules.SegmentationLightningModule method), [1] VGG16 (class in mfai.pytorch.losses.perceptual), [1] vision_encoder (mfai.pytorch.models.llms.FreezeMLMMixin attribute) X xpu() (mfai.pytorch.lightning_modules.clip.CLIPLightningModule method) (mfai.pytorch.lightning_modules.gan_dgmr.DGMRLightningModule method) (mfai.pytorch.lightning_modules.segmentation.SegmentationLightningModule method) (mfai.pytorch.losses.dgmr.GridCellLoss method) (mfai.pytorch.losses.perceptual.BaseNet method) (mfai.pytorch.losses.perceptual.LinLayers method) (mfai.pytorch.losses.perceptual.LPIPS method) (mfai.pytorch.losses.perceptual.PerceptualLoss method) (mfai.pytorch.losses.perceptual.VGG16 method) (mfai.pytorch.losses.toolbelt.DiceLoss method) (mfai.pytorch.losses.toolbelt.SoftBCEWithLogitsLoss method) (mfai.pytorch.losses.toolbelt.SoftCrossEntropyLoss method) (mfai.pytorch.metrics.CSINeighborhood method) (mfai.pytorch.metrics.FAR method) (mfai.pytorch.metrics.FNR method) (mfai.pytorch.metrics.FSS method) (mfai.pytorch.metrics.PR_AUC method) (mfai.pytorch.transforms.DimensionSubSampler method) (mfai.pytorch.transforms.MeanDimensionSubsampler method) Z z_score() (mfai.pytorch.losses.perceptual.BaseNet method), [1] (mfai.pytorch.losses.perceptual.VGG16 method) zero_grad() (mfai.pytorch.lightning_modules.clip.CLIPLightningModule method) (mfai.pytorch.lightning_modules.gan_dgmr.DGMRLightningModule method) (mfai.pytorch.lightning_modules.segmentation.SegmentationLightningModule method) (mfai.pytorch.losses.dgmr.GridCellLoss method) (mfai.pytorch.losses.perceptual.BaseNet method) (mfai.pytorch.losses.perceptual.LinLayers method) (mfai.pytorch.losses.perceptual.LPIPS method) (mfai.pytorch.losses.perceptual.PerceptualLoss method) (mfai.pytorch.losses.perceptual.VGG16 method) (mfai.pytorch.losses.toolbelt.DiceLoss method) (mfai.pytorch.losses.toolbelt.SoftBCEWithLogitsLoss method) (mfai.pytorch.losses.toolbelt.SoftCrossEntropyLoss method) (mfai.pytorch.metrics.CSINeighborhood method) (mfai.pytorch.metrics.FAR method) (mfai.pytorch.metrics.FNR method) (mfai.pytorch.metrics.FSS method) (mfai.pytorch.metrics.PR_AUC method) (mfai.pytorch.transforms.DimensionSubSampler method) (mfai.pytorch.transforms.MeanDimensionSubsampler method)