pytorch conv2d值不能转换为uint8_t类型而不会溢出 [英] pytorch conv2d value cannot be converted to type uint8_t without overflow

问题描述

我正在传递 torch.Tensor ，其中 dtype 是 torch.uint8 到 nn.Conv2d 模块，它给出了错误

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

RuntimeError：如果没有
溢出，则值不能转换为uint8_t类型：-0.0344873

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

我的conv2d定义为 self.conv1 = nn.Conv2d（3，6，5）。当我将张量传递给 self.conv1（x）之类的模块时，错误出现在我的 forward 方法中。张量具有形状（4、3、480、640）。我不确定如何解决此问题。这是堆栈跟踪

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 <module>

    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

推荐答案

将张量转换为浮点数似乎可以解决它 self.conv1（x.float（））

Converting the tensor to a float seemed to fix it self.conv1(x.float())

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