Error3 reports
Fix NotImplementedError
in PyTorch
✅ Solution
torch.NotImplementedError usually arises when a requested function or operation lacks a specific implementation for the given data type, device (CPU/GPU), or configuration. To resolve it, either implement the missing functionality for the specific case (e.g., register a kernel for a specific dtype), use the function with supported data types/devices, or choose an alternative implementation or workaround that achieves the same result within PyTorch's supported functionalities. Ensure the documentation reflects any limitations or constraints to prevent unexpected errors.
Related Issues
Real GitHub issues where developers encountered this error:
`torch.trace` raises `NotImplementedError` for `float16` input on CPU — no kernel registered for `Half`, no documented exclusion, NumPy handles it fineMay 22, 2026
`torch.nn.functional.pad` raises `NotImplementedError` for valid `(ndim, pad_size)` combinations in non-constant modes — constraint not documented in the APIMay 22, 2026
`torch.autograd.functional.jacobian` raises `NotImplementedError` at execution time for `strategy='forward-mode'` with `vectorize=False` instead of raising `ValueError` at argument validationMay 22, 2026
Timeline
First reported:May 22, 2026
Last reported:May 22, 2026