Spaces:

for876543

/

plant-id-3

like 2

Build error

• "torch.LongStorage",
• "torch.jit._pickle.restore_type_tag",
• "__torch__.torch.nn.modules.conv.___torch_mangle_30.Conv2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_33.Conv2d",
• "__torch__.timm.models.efficientnet_blocks.___torch_mangle_12.EdgeResidual",
• "__torch__.timm.models.layers.norm_act.___torch_mangle_3.BatchNormAct2d",
• "__torch__.timm.models.efficientnet_blocks.___torch_mangle_47.SqueezeExcite",
• "__torch__.timm.models.layers.norm_act.___torch_mangle_43.BatchNormAct2d",
• "__torch__.timm.models.layers.conv2d_same.Conv2dSame",
• "__torch__.timm.models.layers.norm_act.___torch_mangle_25.BatchNormAct2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_22.Conv2d",
• "__torch__.timm.models.layers.conv2d_same.___torch_mangle_19.Conv2dSame",
• "__torch__.torch.nn.modules.conv.___torch_mangle_4.Conv2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_21.Conv2d",
• "__torch__.timm.models.layers.adaptive_avgmax_pool.SelectAdaptivePool2d",
• "__torch__.timm.models.efficientnet_blocks.___torch_mangle_16.EdgeResidual",
• "__torch__.torch.nn.modules.container.___torch_mangle_63.Sequential",
• "__torch__.timm.models.layers.norm_act.___torch_mangle_65.BatchNormAct2d",
• "__torch__.torch.nn.modules.activation.SiLU",
• "__torch__.timm.models.layers.norm_act.BatchNormAct2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_71.Conv2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_18.Conv2d",
• "__torch__.torch.nn.modules.conv.Conv2d",
• "__torch__.torch.nn.modules.normalization.LayerNorm",
• "__torch__.torch.nn.modules.conv.___torch_mangle_57.Conv2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_24.Conv2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_37.Conv2d",
• "__torch__.timm.models.efficientnet_blocks.___torch_mangle_62.InvertedResidual",
• "__torch__.timm.models.efficientnet_blocks.___torch_mangle_60.SqueezeExcite",
• "__torch__.timm.models.layers.norm_act.___torch_mangle_14.BatchNormAct2d",
• "__torch__.timm.models.efficientnet_blocks.___torch_mangle_41.InvertedResidual",
• "__torch__.torch.nn.modules.container.___torch_mangle_8.Sequential",
• "__torch__.torch.nn.modules.linear.Identity",
• "__torch__.torch.nn.modules.container.Sequential",
• "__torch__.timm.models.layers.norm_act.___torch_mangle_11.BatchNormAct2d",
• "__torch__.torch.nn.modules.activation.Sigmoid",
• "__torch__.timm.models.layers.conv2d_same.___torch_mangle_0.Conv2dSame",
• "__torch__.torch.nn.modules.conv.___torch_mangle_20.Conv2d",
• "__torch__.torch.nn.modules.container.___torch_mangle_17.Sequential",
• "__torch__.torch.nn.modules.conv.___torch_mangle_46.Conv2d",
• "__torch__.timm.models.layers.norm_act.___torch_mangle_68.BatchNormAct2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_67.Conv2d",
• "__torch__.timm.models.efficientnet_blocks.___torch_mangle_54.InvertedResidual",
• "__torch__.timm.models.layers.norm_act.___torch_mangle_77.BatchNormAct2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_2.Conv2d",
• "__torch__.timm.models.layers.norm_act.___torch_mangle_40.BatchNormAct2d",
• "__torch__.torch.nn.modules.container.___torch_mangle_50.Sequential",
• "collections.OrderedDict",
• "__torch__.timm.models.efficientnet_blocks.SqueezeExcite",
• "__torch__.torch.nn.modules.conv.___torch_mangle_64.Conv2d",
• "__torch__.timm.models.efficientnet_blocks.___torch_mangle_29.SqueezeExcite",
• "__torch__.torch.nn.modules.conv.___torch_mangle_61.Conv2d",
• "__torch__.timm.models.layers.conv2d_same.___torch_mangle_51.Conv2dSame",
• "__torch__.torch.nn.modules.conv.___torch_mangle_6.Conv2d",
• "torch.jit._pickle.build_intlist",
• "__torch__.___torch_mangle_81.FinetuningEffNetv2m_S",
• "__torch__.timm.models.efficientnet_blocks.___torch_mangle_31.InvertedResidual",
• "__torch__.torch.nn.modules.conv.___torch_mangle_69.Conv2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_28.Conv2d",
• "__torch__.torch.nn.modules.dropout.Dropout",
• "__torch__.timm.models.efficientnet_blocks.___torch_mangle_72.SqueezeExcite",
• "__torch__.timm.models.layers.norm_act.___torch_mangle_78.BatchNormAct2d",
• "torch._utils._rebuild_tensor_v2",
• "__torch__.torch.nn.modules.conv.___torch_mangle_36.Conv2d",
• "__torch__.timm.models.layers.norm_act.___torch_mangle_53.BatchNormAct2d",
• "torch.FloatStorage",
• "__torch__.timm.models.layers.norm_act.___torch_mangle_5.BatchNormAct2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_10.Conv2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_73.Conv2d",
• "__torch__.timm.models.efficientnet_blocks.ConvBnAct",
• "__torch__.timm.models.layers.conv2d_same.___torch_mangle_9.Conv2dSame",
• "__torch__.torch.nn.modules.conv.___torch_mangle_26.Conv2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_45.Conv2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_58.Conv2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_44.Conv2d",
• "__torch__.torch.nn.modules.flatten.Flatten",
• "__torch__.timm.models.efficientnet_blocks.___torch_mangle_7.EdgeResidual",
• "__torch__.torch.nn.modules.conv.___torch_mangle_55.Conv2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_13.Conv2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_52.Conv2d",
• "__torch__.torch.nn.modules.pooling.AdaptiveAvgPool2d",
• "__torch__.timm.models.layers.norm_act.___torch_mangle_23.BatchNormAct2d",
• "__torch__.timm.models.efficientnet_blocks.___torch_mangle_38.SqueezeExcite",
• "__torch__.torch.nn.modules.container.___torch_mangle_76.Sequential",
• "__torch__.torch.nn.modules.linear.Linear",
• "__torch__.timm.models.efficientnet_blocks.InvertedResidual",
• "__torch__.torch.nn.modules.conv.___torch_mangle_39.Conv2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_48.Conv2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_79.Conv2d",
• "__torch__.timm.models.layers.norm_act.___torch_mangle_56.BatchNormAct2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_27.Conv2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_35.Conv2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_15.Conv2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_59.Conv2d",
• "__torch__.timm.models.efficientnet_blocks.___torch_mangle_66.InvertedResidual",
• "__torch__.timm.models.efficientnet_blocks.EdgeResidual",
• "__torch__.torch.nn.modules.conv.___torch_mangle_42.Conv2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_70.Conv2d",
• "__torch__.torch.nn.modules.container.___torch_mangle_32.Sequential",
• "__torch__.timm.models.layers.norm_act.___torch_mangle_34.BatchNormAct2d",
• "__torch__.timm.models.efficientnet_blocks.___torch_mangle_49.InvertedResidual",
• "__torch__.timm.models.layers.norm_act.___torch_mangle_1.BatchNormAct2d",
• "__torch__.timm.models.efficientnet_blocks.___torch_mangle_74.InvertedResidual",
• "__torch__.torch.nn.modules.container.___torch_mangle_75.Sequential"

How to fix it?