Errors and Solutions Encountered When Using SamDetector.

I encountered an error while using SamDetector, and the error message is as follows:

Traceback (most recent call last):
  File "c:\PythonProgram\diffweb\test_seg.py", line 12, in &lt;module&gt;
    processed = sam(image)
  File "C:\PythonProgram\diffweb\lib\site-packages\controlnet_aux\segment_anything\__init__.py", line 76, in __call__
    masks = self.mask_generator.generate(input_image)
  // ... Omitted intermediate error information ...
  File "C:\PythonProgram\diffweb\lib\site-packages\controlnet_aux\segment_anything\modeling\tiny_vit_sam.py", line 274, in forward
    (q @ k.transpose(-2, -1)) * self.scale

RuntimeError: Expected all tensors to be on the same device, but found at least two devices, cuda:0 and cpu! After some investigation, I found that this issue was caused by some parts of the model using GPU (cuda:0) for computation, while other parts were using the CPU. This led to a device mismatch problem when executing the attention mechanism. To solve this issue, I added the following code before the line:

attn = (
            (q @ k.transpose(-2, -1)) * self.scale 
                +
                (self.attention_biases[:, self.attention_bias_idxs] if self.training else self.ab)
            )

self.ab = self.ab.to('cuda:0') By doing this, all tensors in the model are computed on the GPU, thereby avoiding the device mismatch problem. I hope this solution will be helpful to others.

huggingface / controlnet_aux

Errors and Solutions Encountered When Using SamDetector. #91