melmass

/

pytorch-scripts

like 0

• "__torch__.nuke_rife.___torch_mangle_45.FlowNetNuke",
• "torch.FloatStorage",
• "collections.OrderedDict",
• "torch.HalfStorage",
• "torch._utils._rebuild_tensor_v2"

How to fix it?

• "__torch__.torch.nn.modules.container.___torch_mangle_13.ModuleList",
• "__torch__.torch.nn.modules.container.___torch_mangle_29.ModuleList",
• "__torch__.torch.nn.modules.container.ModuleList",
• "__torch__.modeling.decoder.detail_capture.___torch_mangle_28.Fusion_Block",
• "__torch__.torch.nn.modules.linear.Linear",
• "__torch__.torch.nn.modules.batchnorm.___torch_mangle_22.BatchNorm2d",
• "__torch__.modeling.backbone.vit.Conv2d",
• "torch.jit._pickle.build_intlist",
• "__torch__.modeling.decoder.detail_capture.___torch_mangle_24.Fusion_Block",
• "__torch__.torch.nn.modules.conv.___torch_mangle_30.Conv2d",
• "__torch__.modeling.backbone.vit.ResBottleneckBlock",
• "__torch__.torch.nn.modules.linear.Identity",
• "__torch__.torch.nn.modules.conv.___torch_mangle_6.Conv2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_10.Conv2d",
• "__torch__.modeling.backbone.vit.Block",
• "torch.jit._pickle.restore_type_tag",
• "__torch__.modeling.decoder.detail_capture.___torch_mangle_12.Basic_Conv3x3",
• "__torch__.modeling.decoder.detail_capture.___torch_mangle_20.Fusion_Block",
• "__torch__.torch.nn.modules.container.Sequential",
• "__torch__.torch.nn.modules.batchnorm.___torch_mangle_8.BatchNorm2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_17.Conv2d",
• "__torch__.modeling.meta_arch.vitmatte.ViTMatte",
• "torch.HalfStorage",
• "__torch__.torch.nn.modules.conv.Conv2d",
• "__torch__.modeling.backbone.vit.Attention",
• "__torch__.torch.nn.modules.dropout.Dropout",
• "__torch__.modeling.backbone.vit.___torch_mangle_3.Conv2d",
• "__torch__.torch.nn.modules.activation.ReLU",
• "__torch__.torch.nn.modules.batchnorm.___torch_mangle_11.BatchNorm2d",
• "collections.OrderedDict",
• "__torch__.torch.nn.modules.batchnorm.BatchNorm2d",
• "__torch__.modeling.backbone.utils.PatchEmbed",
• "__torch__.torch.nn.modules.conv.___torch_mangle_14.Conv2d",
• "__torch__.torch.nn.modules.batchnorm.___torch_mangle_15.BatchNorm2d",
• "__torch__.modeling.decoder.detail_capture.ConvStream",
• "__torch__.modeling.decoder.detail_capture.Fusion_Block",
• "__torch__.modeling.backbone.vit.ViT",
• "__torch__.modeling.backbone.vit.___torch_mangle_4.Conv2d",
• "__torch__.modeling.backbone.timm_layers.Mlp",
• "__torch__.modeling.decoder.detail_capture.Detail_Capture",
• "__torch__.torch.nn.modules.conv.___torch_mangle_7.Conv2d",
• "__torch__.torch.nn.modules.batchnorm.___torch_mangle_31.BatchNorm2d",
• "torch.LongStorage",
• "__torch__.torch.nn.modules.batchnorm.___torch_mangle_26.BatchNorm2d",
• "__torch__.modeling.decoder.detail_capture.___torch_mangle_16.Basic_Conv3x3",
• "torch._utils._rebuild_tensor_v2",
• "__torch__.modeling.decoder.detail_capture.___torch_mangle_27.Basic_Conv3x3",
• "__torch__.VitMatteNuke",
• "__torch__.torch.nn.modules.conv.___torch_mangle_21.Conv2d",
• "__torch__.torch.nn.modules.linear.___torch_mangle_2.Linear",
• "__torch__.modeling.backbone.vit.___torch_mangle_5.Block",
• "__torch__.modeling.backbone.vit.LayerNorm",
• "__torch__.modeling.decoder.detail_capture.___torch_mangle_19.Basic_Conv3x3",
• "__torch__.torch.nn.modules.conv.___torch_mangle_25.Conv2d",
• "__torch__.modeling.decoder.detail_capture.Basic_Conv3x3",
• "__torch__.torch.nn.modules.activation.GELU",
• "__torch__.modeling.decoder.detail_capture.___torch_mangle_9.Basic_Conv3x3",
• "__torch__.torch.nn.modules.conv.___torch_mangle_32.Conv2d",
• "__torch__.torch.nn.modules.batchnorm.___torch_mangle_18.BatchNorm2d",
• "__torch__.torch.nn.modules.normalization.LayerNorm",
• "__torch__.modeling.decoder.detail_capture.___torch_mangle_23.Basic_Conv3x3",
• "__torch__.torch.nn.modules.linear.___torch_mangle_1.Linear",
• "__torch__.modeling.decoder.detail_capture.Matting_Head",
• "__torch__.torch.nn.modules.linear.___torch_mangle_0.Linear"

How to fix it?