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Make device check error message more descriptive (#150750)

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Fixes #122757

## Test Result

```python
import torch

model_output = torch.randn(10, 5).cuda()
labels = torch.randint(0, 5, (10,)).cuda()
weights = torch.randn(5)

loss_fn = torch.nn.CrossEntropyLoss(weight=weights)
loss = loss_fn(input=model_output, target=labels)
print(loss)

Traceback (most recent call last):
  File "/home/zong/code/pytorch/../loss2.py", line 17, in <module>
    loss = loss_fn(input=model_output, target=labels)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/zong/code/pytorch/torch/nn/modules/module.py", line 1751, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/zong/code/pytorch/torch/nn/modules/module.py", line 1762, in _call_impl
    return forward_call(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/zong/code/pytorch/torch/nn/modules/loss.py", line 1297, in forward
    return F.cross_entropy(
           ^^^^^^^^^^^^^^^^
  File "/home/zong/code/pytorch/torch/nn/functional.py", line 3494, in cross_entropy
    return torch._C._nn.cross_entropy_loss(
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
RuntimeError: Expected all tensors to be on the same device, but got weight is on cpu, different from other tensors on cuda:0 (when checking argument in method wrapper_CUDA_nll_loss_forward)

```
Pull Request resolved: https://github.com/pytorch/pytorch/pull/150750
Approved by: https://github.com/malfet
This commit is contained in:
zeshengzong 2025-05-08 06:19:40 +00:00 committed by PyTorch MergeBot
parent c73bd990cf
commit 3c87529d23
1 changed files with 3 additions and 3 deletions
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6
test/test_sparse.py
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@ -4056,21 +4056,21 @@ class TestSparseOneOff(TestCase):
def test_cuda_from_cpu(self):
with self.assertRaisesRegex(
RuntimeError,
"Expected all tensors to be on the same device, but found at least two devices, cuda:0 and cpu!"):
"Expected all tensors to be on the same device"):
torch.sparse_coo_tensor(torch.zeros(1, 4).long().cuda(),
torch.randn(4, 4, 4),
[3, 4, 4])
with self.assertRaisesRegex(
RuntimeError,
"Expected all tensors to be on the same device, but found at least two devices, cuda:0 and cpu!"):
"Expected all tensors to be on the same device"):
torch.sparse_coo_tensor(torch.zeros(1, 4).long().cuda(),
torch.randn(4, 4, 4, 0),
[3, 4, 4, 0])
with self.assertRaisesRegex(
RuntimeError,
"Expected all tensors to be on the same device, but found at least two devices, cuda:0 and cpu!"):
"Expected all tensors to be on the same device"):
torch.sparse_coo_tensor(torch.empty(1, 0).long().cuda(),
torch.randn(0, 4, 4, 0),
[0, 4, 4, 0])