I’m passing a  torch.Tensor  with a  dtype  of  torch.uint8  to an  nn.Conv2d  module and it is giving the error

RuntimeError: value cannot be converted to type uint8_t without overflow: -0.0344873

My conv2d is defined as  self.conv1 = nn.Conv2d(3, 6, 5) . The error comes in my  forward  method when I pass the tensor to the module like  self.conv1(x) . The tensor has shape (4, 3, 480, 640). I’m not sure how to fix this. Here is the stack trace

Traceback (most recent call last):
File “cnn.py”, line 54, in 
outputs = net(inputs)

File “/Users/my_repos/venv_projc/lib/python3.7/site-packages/torch/nn/modules/module.py”, line 532, in call
result = self.forward(*input, **kwargs)

File “cnn.py”, line 24, in forward
test = self.conv1(x)

File “/Users/my_repos/venv_projc/lib/python3.7/site-packages/torch/nn/modules/module.py”, line 532, in call
result = self.forward(*input, **kwargs)

File “/Users/my_repos/venv_projc/lib/python3.7/site-packages/torch/nn/modules/conv.py”, line 345, in forward
return self.conv2d_forward(input, self.weight)

File “/Users/my_repos/venv_projc/lib/python3.7/site-packages/torch/nn/modules/conv.py”, line 342, in conv2d_forward
self.padding, self.dilation, self.groups)

RuntimeError: value cannot be converted to type uint8_t without overflow: -0.0344873