Datasets:

---

robertoesa

/

PyNAS

like 0

• "__torch__.torch.nn.modules.conv.___torch_mangle_82713.Conv2d",
• "__torch__.pynas.blocks.activations.___torch_mangle_82692.ReLU",
• "__torch__.torch.nn.modules.activation.___torch_mangle_82712.ReLU",
• "__torch__.pynas.blocks.activations.___torch_mangle_82696.ReLU",
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• "__torch__.torch.nn.modules.conv.___torch_mangle_82697.Conv2d",
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• "__torch__.torch.nn.modules.conv.___torch_mangle_82710.Conv2d",
• "__torch__.pynas.blocks.pooling.___torch_mangle_82689.AvgPool",
• "__torch__.torch.nn.modules.conv.___torch_mangle_82676.Conv2d",
• "__torch__.torch.nn.modules.container.___torch_mangle_82720.Sequential",
• "__torch__.pynas.core.generic_unet.___torch_mangle_82721.UNetDecoder",
• "__torch__.pynas.blocks.activations.___torch_mangle_82678.ReLU",
• "__torch__.torch.nn.modules.activation.___torch_mangle_82682.ReLU",
• "__torch__.pynas.blocks.convolutions.___torch_mangle_82687.ConvSE",
• "__torch__.torch.nn.modules.dropout.___torch_mangle_82673.Dropout",
• "__torch__.pynas.blocks.convolutions.___torch_mangle_82702.MBConvNoRes",
• "__torch__.pynas.blocks.convolutions.___torch_mangle_82700.ConvBnAct",
• "__torch__.torch.nn.modules.container.___torch_mangle_82716.Sequential",
• "__torch__.torch.nn.modules.upsampling.___torch_mangle_82719.Upsample",
• "__torch__.torch.nn.modules.conv.___torch_mangle_82694.Conv2d",
• "__torch__.torch.nn.modules.pooling.___torch_mangle_82688.AvgPool2d",
• "__torch__.torch.nn.modules.activation.___torch_mangle_82684.Sigmoid",
• "__torch__.torch.nn.modules.batchnorm.___torch_mangle_82698.BatchNorm2d",
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• "__torch__.torch.nn.modules.conv.___torch_mangle_82690.Conv2d",
• "__torch__.torch.nn.modules.container.___torch_mangle_82717.ModuleList",
• "__torch__.pynas.blocks.convolutions.___torch_mangle_82679.ConvBnAct",
• "__torch__.torch.nn.modules.pooling.___torch_mangle_82680.AdaptiveAvgPool2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_82707.Conv2d",
• "__torch__.torch.nn.modules.container.___torch_mangle_82701.Sequential",
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• "__torch__.torch.nn.modules.upsampling.___torch_mangle_82706.Upsample",
• "__torch__.torch.nn.modules.container.___torch_mangle_82685.Sequential",
• "__torch__.torch.nn.modules.container.___torch_mangle_82705.ModuleList",
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• "__torch__.torch.nn.modules.batchnorm.___torch_mangle_82691.BatchNorm2d",
• "__torch__.torch.nn.modules.batchnorm.___torch_mangle_82714.BatchNorm2d",
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• "__torch__.pynas.blocks.convolutions.___torch_mangle_82686.SEBlock",
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• "__torch__.torch.nn.modules.container.___torch_mangle_82708.Sequential",
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• "torch.jit._pickle.build_intlist",
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• "torch.jit._pickle.build_intlist",
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• "torch.jit._pickle.restore_type_tag",
• "torch.FloatStorage",
• "collections.OrderedDict",
• "torch._utils._rebuild_tensor_v2"

How to fix it?

• "numpy._core.multiarray.scalar",
• "pynas.core.individual.Individual",
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