cyka-blyat

/

too-rich-kid

like 0

• "__torch__.torch.nn.modules.container.___torch_mangle_10.Sequential",
• "torch.LongStorage",
• "__torch__.torch.nn.modules.container.___torch_mangle_33.Sequential",
• "__torch__.torch.nn.modules.container.___torch_mangle_5.Sequential",
• "__torch__.torch.nn.modules.conv.Conv2d",
• "__torch__.InvertedResidual",
• "__torch__.torch.nn.modules.batchnorm.BatchNorm2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_19.Conv2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_9.Conv2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_13.Conv2d",
• "__torch__.torch.nn.modules.container.___torch_mangle_25.Sequential",
• "__torch__.torch.nn.modules.conv.___torch_mangle_2.Conv2d",
• "__torch__.ECABlock",
• "__torch__.torch.nn.modules.container.___torch_mangle_32.Sequential",
• "__torch__.___torch_mangle_11.InvertedResidual",
• "__torch__.torch.nn.modules.conv.___torch_mangle_0.Conv2d",
• "__torch__.torch.nn.modules.batchnorm.___torch_mangle_4.BatchNorm2d",
• "torch.FloatStorage",
• "torch.jit._pickle.build_intlist",
• "__torch__.torch.nn.modules.conv.___torch_mangle_3.Conv2d",
• "__torch__.torch.nn.modules.batchnorm.___torch_mangle_31.BatchNorm2d",
• "__torch__.torch.nn.modules.conv.Conv1d",
• "torch._utils._rebuild_tensor_v2",
• "__torch__.torch.nn.modules.batchnorm.___torch_mangle_1.BatchNorm2d",
• "__torch__.torch.nn.modules.activation.GELU",
• "__torch__.torch.nn.modules.activation.Sigmoid",
• "__torch__.torch.nn.modules.conv.___torch_mangle_23.Conv2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_24.Conv2d",
• "__torch__.torch.nn.modules.linear.Linear",
• "__torch__.torch.nn.modules.conv.___torch_mangle_30.Conv2d",
• "__torch__.___torch_mangle_29.InvertedResidual",
• "__torch__.torch.nn.modules.conv.___torch_mangle_6.Conv2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_27.Conv2d",
• "__torch__.torch.nn.modules.container.___torch_mangle_21.Sequential",
• "__torch__.torch.nn.modules.container.Sequential",
• "collections.OrderedDict",
• "__torch__.torch.nn.modules.batchnorm.___torch_mangle_18.BatchNorm2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_17.Conv2d",
• "__torch__.___torch_mangle_26.InvertedResidual",
• "__torch__.___torch_mangle_22.InvertedResidual",
• "__torch__.torch.nn.modules.batchnorm.___torch_mangle_14.BatchNorm2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_20.Conv2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_8.Conv2d",
• "__torch__.torch.nn.modules.batchnorm.___torch_mangle_7.BatchNorm2d",
• "__torch__.torch.nn.modules.container.___torch_mangle_28.Sequential",
• "__torch__.MobileNetECA",
• "__torch__.torch.nn.modules.container.___torch_mangle_15.Sequential",
• "__torch__.torch.nn.modules.pooling.AdaptiveAvgPool2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_12.Conv2d",
• "__torch__.___torch_mangle_16.InvertedResidual"

How to fix it?