Skip to content

quantization #9

Description

@wm901115nwpu

If I use torch=0.2.0, I met the error:
Traceback (most recent call last):
File "example/mpii.py", line 352, in
main(parser.parse_args())
File "example/mpii.py", line 107, in main
train_loss, train_acc = train(train_loader, model, criterion, optimizer, args.debug, args.flip)
File "example/mpii.py", line 153, in train
output = model(input_var)
File "/home/wangmeng/.local/lib/python3.5/site-packages/torch/nn/modules/module.py", line 357, in call
result = self.forward(*input, **kwargs)
File "/home/wangmeng/.local/lib/python3.5/site-packages/torch/nn/parallel/data_parallel.py", line 71, in forward
return self.module(*inputs[0], **kwargs[0])
File "/home/wangmeng/.local/lib/python3.5/site-packages/torch/nn/modules/module.py", line 357, in call
result = self.forward(*input, **kwargs)
File "/home/wangmeng/pytorch-pose-quantized/pose/models/hourglass_quantized.py", line 172, in forward
x = self.conv1(x)
File "/home/wangmeng/.local/lib/python3.5/site-packages/torch/nn/modules/module.py", line 357, in call
result = self.forward(*input, **kwargs)
File "/home/wangmeng/pytorch-pose-quantized/pose/models/modules/quantize.py", line 188, in forward
qinput = self.quantize_input(input)
File "/home/wangmeng/.local/lib/python3.5/site-packages/torch/nn/modules/module.py", line 357, in call
result = self.forward(*input, **kwargs)
File "/home/wangmeng/pytorch-pose-quantized/pose/models/modules/quantize.py", line 165, in forward
min_value * (1 - self.momentum))
TypeError: add_ received an invalid combination of arguments - got (Variable), but expected one of:

  • (float value)
    didn't match because some of the arguments have invalid types: (Variable)
  • (torch.cuda.FloatTensor other)
    didn't match because some of the arguments have invalid types: (Variable)
  • (torch.cuda.sparse.FloatTensor other)
    didn't match because some of the arguments have invalid types: (Variable)
  • (float value, torch.cuda.FloatTensor other)
  • (float value, torch.cuda.sparse.FloatTensor other)

Whether I need modified the models/modules/quantilized.py or not?

Activity

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment

Metadata

Metadata

Assignees

No one assigned

    Labels

    No labels
    No labels

    Projects

    No projects

      Milestone

      No milestone

      Relationships

      None yet

      Development

      No branches or pull requests

      Issue actions