ZJW666

/

Projected_GAN_CLC

like 0

• "timm.models.efficientnet_blocks.DepthwiseSeparableConv",
• "pg_modules.discriminator.MultiScaleD",
• "torch.nn.quantized.modules.functional_modules.FloatFunctional",
• "torch.nn.modules.activation.ReLU6",
• "torch.nn.modules.conv.ConvTranspose2d",
• "pg_modules.blocks.InitLayer",
• "collections.OrderedDict",
• "torch.nn.utils.spectral_norm.SpectralNormLoadStateDictPreHook",
• "torch.nn.modules.dropout.Dropout2d",
• "pg_modules.discriminator.ProjectedDiscriminator",
• "pg_modules.networks_fastgan.DummyMapping",
• "torch.nn.modules.batchnorm.BatchNorm2d",
• "torch.nn.utils.spectral_norm.SpectralNormStateDictHook",
• "pg_modules.blocks.SEBlock",
• "torch._utils._rebuild_tensor_v2",
• "pg_modules.blocks.FeatureFusionBlock",
• "timm.models.efficientnet_blocks.InvertedResidual",
• "torch.nn.modules.upsampling.Upsample",
• "pg_modules.blocks.GLU",
• "torch.nn.modules.conv.Conv2d",
• "torch.nn.modules.container.Sequential",
• "numpy.dtype",
• "pg_modules.discriminator.SingleDisc",
• "torch.nn.modules.activation.LeakyReLU",
• "dill._dill._import_module",
• "pg_modules.networks_fastgan.FastganSynthesis",
• "numpy.ndarray",
• "torch.nn.modules.container.ModuleDict",
• "torch.nn.modules.module.Module",
• "torch.storage._load_from_bytes",
• "torch.nn.modules.linear.Identity",
• "torch.nn.modules.activation.Sigmoid",
• "pg_modules.blocks.DownBlock",
• "torch._utils._rebuild_parameter",
• "dill._dill._get_attr",
• "torch.nn.utils.spectral_norm.SpectralNorm",
• "pg_modules.blocks.Swish",
• "pg_modules.projector.F_RandomProj",
• "torch.nn.modules.pooling.AdaptiveAvgPool2d",
• "timm.models.layers.conv2d_same.Conv2dSame",
• "pg_modules.networks_fastgan.Generator"

How to fix it?