bEijuuu

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Portrait4D

like 1

• "torch.nn.modules.activation.Softplus",
• "torch.float32",
• "numpy.dtype",
• "pytorch3d.renderer.mesh.rasterizer.RasterizationSettings",
• "training.volumetric_rendering.renderer.PartDeformImportanceRenderer",
• "dnnlib.util.EasyDict",
• "numpy.ndarray",
• "pytorch3d.renderer.mesh.rasterizer.MeshRasterizer",
• "torch._utils._rebuild_parameter",
• "torch.nn.modules.container.Sequential",
• "models.FLAME.DecaFLAME.FLAME",
• "training.deformer.mesh_renderer.MeshRenderer",
• "torch.storage._load_from_bytes",
• "torch.nn.modules.pooling.MaxPool2d",
• "numpy.core.multiarray.scalar",
• "numpy.core.multiarray._reconstruct",
• "torch._utils._rebuild_tensor_v2",
• "collections.OrderedDict",
• "torch_utils.persistence._reconstruct_persistent_obj"

How to fix it?

• "models.mix_transformer.mix_transformer.Block",
• "numpy.ndarray",
• "torch.nn.modules.normalization.LayerNorm",
• "torch.nn.modules.linear.Linear",
• "torch._utils._rebuild_parameter",
• "models.deeplabv3.decoder.ASPPPooling",
• "torch.nn.modules.activation.LeakyReLU",
• "torch.nn.modules.linear.Identity",
• "models.unet.openaimodel.Upsample",
• "models.mix_transformer.mix_transformer.CrossAttention",
• "models.mix_transformer.mix_transformer.OverlapPatchEmbed",
• "models.deeplabv3.decoder.ASPPConv",
• "torch.float32",
• "torch_utils.persistence._reconstruct_persistent_obj",
• "pytorch3d.renderer.mesh.rasterizer.RasterizationSettings",
• "torch.nn.modules.container.Sequential",
• "numpy.core.multiarray.scalar",
• "torchvision.models.resnet.BasicBlock",
• "torch.nn.modules.pixelshuffle.PixelShuffle",
• "numpy.dtype",
• "torch.nn.modules.activation.GELU",
• "models.unet.openaimodel.Downsample",
• "torch.nn.modules.conv.Conv2d",
• "segmentation_models_pytorch.encoders.resnet.ResNetEncoder",
• "models.deeplabv3.decoder.DeepLabV3Decoder",
• "models.FLAME.DecaFLAME.FLAME",
• "models.mix_transformer.mix_transformer.Mlp",
• "models.mix_transformer.mix_transformer.Attention",
• "numpy.core.multiarray._reconstruct",
• "dnnlib.util.EasyDict",
• "torch.nn.modules.activation.Softplus",
• "torch._utils._rebuild_tensor_v2",
• "torch.nn.modules.pooling.MaxPool2d",
• "torch.nn.modules.upsampling.UpsamplingBilinear2d",
• "training.deformer.mesh_renderer.MeshRenderer",
• "models.mix_transformer.mix_transformer.BlockCross",
• "models.mix_transformer.mix_transformer.DWConv",
• "torch.nn.modules.activation.ReLU",
• "torch.storage._load_from_bytes",
• "models.deeplabv3.decoder.ASPP",
• "torch.nn.modules.container.ModuleList",
• "collections.OrderedDict",
• "pytorch3d.renderer.mesh.rasterizer.MeshRasterizer",
• "torch.nn.modules.dropout.Dropout",
• "torch.nn.modules.pooling.AdaptiveAvgPool2d"

How to fix it?

• "models.mix_transformer.mix_transformer.Block",
• "numpy.ndarray",
• "torch.nn.modules.normalization.LayerNorm",
• "torch.nn.modules.linear.Linear",
• "torch._utils._rebuild_parameter",
• "models.deeplabv3.decoder.ASPPPooling",
• "torch.nn.modules.activation.LeakyReLU",
• "torch.nn.modules.linear.Identity",
• "models.unet.openaimodel.Upsample",
• "models.mix_transformer.mix_transformer.CrossAttention",
• "models.mix_transformer.mix_transformer.OverlapPatchEmbed",
• "models.deeplabv3.decoder.ASPPConv",
• "torch.float32",
• "torch_utils.persistence._reconstruct_persistent_obj",
• "pytorch3d.renderer.mesh.rasterizer.RasterizationSettings",
• "torch.nn.modules.container.Sequential",
• "numpy.core.multiarray.scalar",
• "torchvision.models.resnet.BasicBlock",
• "torch.nn.modules.pixelshuffle.PixelShuffle",
• "numpy.dtype",
• "torch.nn.modules.activation.GELU",
• "models.unet.openaimodel.Downsample",
• "torch.nn.modules.conv.Conv2d",
• "segmentation_models_pytorch.encoders.resnet.ResNetEncoder",
• "models.deeplabv3.decoder.DeepLabV3Decoder",
• "models.FLAME.DecaFLAME.FLAME",
• "models.mix_transformer.mix_transformer.Mlp",
• "models.mix_transformer.mix_transformer.Attention",
• "numpy.core.multiarray._reconstruct",
• "dnnlib.util.EasyDict",
• "torch.nn.modules.activation.Softplus",
• "torch._utils._rebuild_tensor_v2",
• "torch.nn.modules.pooling.MaxPool2d",
• "torch.nn.modules.upsampling.UpsamplingBilinear2d",
• "training.deformer.mesh_renderer.MeshRenderer",
• "models.mix_transformer.mix_transformer.BlockCross",
• "models.mix_transformer.mix_transformer.DWConv",
• "torch.nn.modules.activation.ReLU",
• "torch.storage._load_from_bytes",
• "models.deeplabv3.decoder.ASPP",
• "torch.nn.modules.container.ModuleList",
• "collections.OrderedDict",
• "pytorch3d.renderer.mesh.rasterizer.MeshRasterizer",
• "torch.nn.modules.dropout.Dropout",
• "torch.nn.modules.pooling.AdaptiveAvgPool2d"

How to fix it?

• "models.mix_transformer.mix_transformer.Block",
• "numpy.ndarray",
• "torch.nn.modules.normalization.LayerNorm",
• "torch.nn.modules.linear.Linear",
• "torch._utils._rebuild_parameter",
• "models.deeplabv3.decoder.ASPPPooling",
• "torch.nn.modules.activation.LeakyReLU",
• "torch.nn.modules.linear.Identity",
• "models.unet.openaimodel.Upsample",
• "models.mix_transformer.mix_transformer.CrossAttention",
• "models.mix_transformer.mix_transformer.OverlapPatchEmbed",
• "models.deeplabv3.decoder.ASPPConv",
• "torch.float32",
• "torch_utils.persistence._reconstruct_persistent_obj",
• "pytorch3d.renderer.mesh.rasterizer.RasterizationSettings",
• "torch.nn.modules.container.Sequential",
• "numpy.core.multiarray.scalar",
• "torchvision.models.resnet.BasicBlock",
• "torch.nn.modules.pixelshuffle.PixelShuffle",
• "numpy.dtype",
• "torch.nn.modules.activation.GELU",
• "models.unet.openaimodel.Downsample",
• "torch.nn.modules.conv.Conv2d",
• "segmentation_models_pytorch.encoders.resnet.ResNetEncoder",
• "models.deeplabv3.decoder.DeepLabV3Decoder",
• "models.FLAME.DecaFLAME.FLAME",
• "models.mix_transformer.mix_transformer.Mlp",
• "models.mix_transformer.mix_transformer.Attention",
• "numpy.core.multiarray._reconstruct",
• "dnnlib.util.EasyDict",
• "torch.nn.modules.activation.Softplus",
• "torch._utils._rebuild_tensor_v2",
• "torch.nn.modules.pooling.MaxPool2d",
• "torch.nn.modules.upsampling.UpsamplingBilinear2d",
• "training.deformer.mesh_renderer.MeshRenderer",
• "models.mix_transformer.mix_transformer.BlockCross",
• "models.mix_transformer.mix_transformer.DWConv",
• "torch.nn.modules.activation.ReLU",
• "torch.storage._load_from_bytes",
• "models.deeplabv3.decoder.ASPP",
• "torch.nn.modules.container.ModuleList",
• "collections.OrderedDict",
• "pytorch3d.renderer.mesh.rasterizer.MeshRasterizer",
• "torch.nn.modules.dropout.Dropout",
• "torch.nn.modules.pooling.AdaptiveAvgPool2d"

How to fix it?