Abe404
commented
2 years ago Thanks Silas,
As you are using the dev_mc branch I have pushed a new commit to that branch that should hopefully fix the issue.
See https://github.com/Abe404/RootPainter3D/commit/4c4f1b71ae111b3dd6aa625d112bc05b7dde9b4d
If you pull the branch again you should get this update.
Plesae let me know how it goes.
Kind regards, Abraham
Trainer fails because of dtype mismatch in call to cnn function. Log output below. Input data is uint16.
found instruction segment_-8639686351424129568 execute_instruction segment segmented input shape (235, 235, 235) segment image, input shape = (235, 235, 235) Exception parsing instruction Input type (torch.cuda.DoubleTensor) and weight type (torch.cuda.FloatTensor) should be the same Traceback (most recent call last): File "/trainer/trainer.py", line 154, in execute_instruction
getattr(self, name)(config)
File "/trainer/trainer.py", line 509, in segment
overwrite=overwrite)
File "/trainer/trainer.py", line 592, in segment_file
out_d, classes, bounded)
File "/trainer/model_utils.py", line 147, in ensemble_segment_3d
pred_maps = segment_3d(cnn, image, batch_size, in_patch_shape, out_patch_shape)
File "/trainer/model_utils.py", line 244, in segment_3d
outputs = cnn(tiles_for_gpu).detach().cpu()
File "/python3.6/site-packages/torch/nn/modules/module.py", line 1102, in _call_impl
return forward_call(*input, kwargs)
File "/python3.6/site-packages/torch/nn/parallel/data_parallel.py", line 166, in forward
return self.module(*inputs[0], *kwargs[0])
File "/python3.6/site-packages/torch/nn/modules/module.py", line 1102, in _call_impl
return forward_call( input, kwargs)
File "/trainer/unet3d.py", line 129, in forward
out1 = self.conv_in(x)
File "/python3.6/site-packages/torch/nn/modules/module.py", line 1102, in _call_impl
return forward_call(*input, *kwargs)
File "/python3.6/site-packages/torch/nn/modules/container.py", line 141, in forward
input = module(input)
File "/python3.6/site-packages/torch/nn/modules/module.py", line 1102, in _call_impl
return forward_call( input, **kwargs)
File "/python3.6/site-packages/torch/nn/modules/conv.py", line 590, in forward
return self._conv_forward(input, self.weight, self.bias)
File "/python3.6/site-packages/torch/nn/modules/conv.py", line 586, in _conv_forward
input, weight, bias, self.stride, self.padding, self.dilation, self.groups
RuntimeError: Input type (torch.cuda.DoubleTensor) and weight type (torch.cuda.FloatTensor) should be the same