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  • Installation
  • Quickstart
  • Use Cases
  • NamedTensor
  • Models
    • ModelABC
    • ArchesWeather
    • BaseModel
    • DeepLabV3
    • DeepLabV3Plus
    • HalfUNet
    • IdentityModel
    • BaseGraphModel
    • BaseHiGraphModel
    • GraphLAM
    • HiLAM
    • HiLAMParallel
    • PanguWeather
    • Segformer
    • SwinUNetR
    • CustomUNet
    • UNet
    • UNetRPP
    • ViTClassifier
    • VitEncoder
  • Losses
    • GridCellLoss
    • BaseNet
    • LPIPS
    • LinLayers
    • PerceptualLoss
    • VGG16
    • DiceLoss
    • SoftBCEWithLogitsLoss
    • SoftCrossEntropyLoss
  • Transforms
    • DimensionSubSampler
    • MeanDimensionSubsampler
    • RandomCropWithMinPositivePixels
  • Metrics
    • CSINeighborhood
    • FAR
    • FNR
    • FSS
    • PR_AUC
  • Lightning
    • CLIPLightningModule
    • DGMRLightningModule
    • SegmentationLightningModule
    • MLFlowSaveConfigCallback
    • MLFlowSystemMonitorCallback
    • SaveCLIPVisualEncoderWeights
  • Reference
    • mfai
      • encoding
      • http
      • pytorch
        • callbacks
        • dummy_dataset
        • lightning_modules
          • clip
          • gan_dgmr
          • segmentation
        • losses
          • gan_dgmr
          • perceptual
          • toolbelt
        • lr_scheduler
        • metrics
        • models
          • archesweather
          • base
          • clip
          • deeplabv3
          • gan_dgmr
            • blocks
            • discriminators
            • generators
            • layers
              • attention
              • conv_gru
              • coord_conv
          • half_unet
          • identity
          • llms
            • cross_attention
            • fuyu
            • gpt2
            • llama2
            • llama3
          • nlam
            • create_mesh
            • interaction_net
          • pangu
          • resnet
          • segformer
          • swinunetr
          • unet
          • unetrpp
          • utils
          • vit
          • weather_projector
        • namedtensor
        • padding
        • transforms
      • tensorflow
      • tokenizers
  • About
  • Acknowledgements
  • Contributing
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gan_dgmr¶

Submodules of DGMR model.

blocks

Modules for generator blocks.

discriminators

Discriminators.

generators

Generator module.

layers

Submodules for the layers.
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blocks
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deeplabv3
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