lurenjia384

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wavelet_policy_model

like 1

• "torch.nn.modules.container.Sequential",
• "argparse.Namespace",
• "torch.nn.modules.transformer.TransformerEncoderLayer",
• "torch.nn.modules.dropout.Dropout",
• "model.Wavelet_Policy",
• "torch.nn.modules.container.ModuleList",
• "model.FeatureExtractor",
• "torch.FloatStorage",
• "__builtin__.set",
• "torchvision.transforms.transforms.Normalize",
• "torch._utils._rebuild_tensor_v2",
• "torch.nn.modules.activation.ReLU",
• "torch.nn.modules.conv.Conv1d",
• "torch.nn.modules.transformer.TransformerDecoderLayer",
• "model.PositionalEncoding",
• "torch.nn.modules.activation.MultiheadAttention",
• "torch.nn.modules.linear.Linear",
• "torch.nn.modules.transformer.TransformerEncoder",
• "model.Embed",
• "torch.nn.modules.linear.NonDynamicallyQuantizableLinear",
• "torch.nn.modules.transformer.TransformerDecoder",
• "torch.nn.modules.conv.ConvTranspose2d",
• "torch.nn.modules.conv.Conv2d",
• "model.PositionalEncoding2D",
• "torch._utils._rebuild_parameter",
• "torch.nn.functional.relu",
• "pytorch_wavelets.dwt.transform1d.DWT1DForward",
• "torch.LongStorage",
• "torchvision.models.resnet.BasicBlock",
• "collections.OrderedDict",
• "torch.nn.modules.normalization.LayerNorm",
• "torch.nn.modules.batchnorm.BatchNorm2d",
• "torch.nn.modules.pooling.MaxPool2d"

How to fix it?

• "torch.nn.modules.conv.Conv1d",
• "torchvision.models.resnet.BasicBlock",
• "torch.FloatStorage",
• "torch.nn.modules.conv.ConvTranspose2d",
• "pytorch_wavelets.dwt.transform1d.DWT1DForward",
• "torch.nn.modules.normalization.LayerNorm",
• "torch.nn.modules.linear.NonDynamicallyQuantizableLinear",
• "model.PositionalEncoding2D",
• "torch.nn.modules.container.ModuleList",
• "torch.LongStorage",
• "model.PositionalEncoding",
• "torch.nn.modules.container.Sequential",
• "torch.nn.modules.transformer.TransformerEncoder",
• "torch.nn.modules.transformer.TransformerEncoderLayer",
• "torch.nn.functional.relu",
• "torch.nn.modules.batchnorm.BatchNorm2d",
• "torch.nn.modules.conv.Conv2d",
• "model.FeatureExtractor",
• "torch.nn.modules.transformer.TransformerDecoderLayer",
• "__builtin__.set",
• "torch._utils._rebuild_parameter",
• "torch.nn.modules.linear.Linear",
• "argparse.Namespace",
• "torch.nn.modules.pooling.MaxPool2d",
• "torch._utils._rebuild_tensor_v2",
• "torch.nn.modules.dropout.Dropout",
• "model.Wavelet_Policy",
• "torchvision.transforms.transforms.Normalize",
• "torch.nn.modules.transformer.TransformerDecoder",
• "torch.nn.modules.activation.ReLU",
• "model.Embed",
• "torch.nn.modules.activation.MultiheadAttention",
• "collections.OrderedDict"

How to fix it?