Error7 reports
Fix TorchRuntimeError
in PyTorch
✅ Solution
TorchRuntimeError usually indicates an issue with tensor sizes, data types, or device placement conflicts within a PyTorch operation. Inspect the failing code for mismatched tensor shapes in operations like addition, matrix multiplication, or loss calculations, and explicitly move tensors to the same device (CPU or GPU) using `.to(device)` to ensure compatibility. Additionally, verify input data types are appropriate for the involved PyTorch functions, casting if necessary using `.float()` or `.long()`.
Related Issues
Real GitHub issues where developers encountered this error:
DISABLED test_grad_grad_cpu (__main__.TestComposabilityCPU)Apr 17, 2026
DISABLED test_autograd_function_no_setup_context_transform_grad_cpu (__main__.TestComposabilityCPU)Apr 17, 2026
DISABLED test_can_use_vmap_when_key_is_excluded_cpu (__main__.TestComposabilityCPU)Apr 16, 2026
DISABLED test_autograd_function_no_setup_context_transform_vmap_cpu (__main__.TestComposabilityCPU)Apr 16, 2026
DISABLED test_autograd_function_no_setup_context_transform_jacrev_cpu (__main__.TestComposabilityCPU)Apr 16, 2026
Timeline
First reported:Apr 16, 2026
Last reported:Apr 17, 2026