farzadbz

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Medical-VAE

like 1

• "torch.nn.modules.container.Sequential",
• "ldm.modules.losses.contperceptual.LPIPSWithDiscriminator",
• "torch.device",
• "torch._utils._rebuild_tensor_v2",
• "torch.float32",
• "ldm.modules.diffusionmodules.model.AttnBlock",
• "taming.modules.losses.lpips.vgg16",
• "torch.nn.modules.dropout.Dropout",
• "__builtin__.set",
• "ldm.modules.diffusionmodules.model.Encoder",
• "taming.modules.losses.lpips.NetLinLayer",
• "ldm.modules.diffusionmodules.model.Downsample",
• "torch.nn.modules.activation.LeakyReLU",
• "torch.nn.modules.module.Module",
• "torch.LongStorage",
• "torch.nn.modules.activation.ReLU",
• "torch.nn.modules.normalization.GroupNorm",
• "torch.nn.modules.batchnorm.BatchNorm2d",
• "taming.modules.losses.lpips.ScalingLayer",
• "torch.FloatStorage",
• "taming.modules.discriminator.model.NLayerDiscriminator",
• "ldm.modules.diffusionmodules.model.Decoder",
• "ldm.models.autoencoder.AutoencoderKL",
• "taming.modules.losses.vqperceptual.hinge_d_loss",
• "torch._utils._rebuild_parameter",
• "taming.modules.losses.lpips.LPIPS",
• "torch.nn.modules.conv.Conv2d",
• "ldm.modules.diffusionmodules.model.Upsample",
• "collections.OrderedDict",
• "torch.nn.modules.pooling.MaxPool2d",
• "ldm.modules.diffusionmodules.model.ResnetBlock",
• "torch.nn.modules.container.ModuleList"

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