# RuntimeError: CUDA error: invalid argument

- **ID:** `pytorch/cuda-error-invalid-argument`
- **Domain:** pytorch
- **Category:** runtime_error
- **Verification:** ai_generated
- **Fix Rate:** 75%

## Root Cause

A CUDA kernel was launched with invalid arguments, often due to a tensor with a zero dimension or an illegal stride being passed to a CUDA operation.

## Version Compatibility

| Version | Status | Introduced | Deprecated |
|---------|--------|------------|------------|
| torch>=2.0.0 | active | — | — |
| CUDA>=11.7 | active | — | — |

## Workarounds

1. **Check tensor shapes and strides before the operation. Ensure no dimension is zero and strides are valid. Print tensor.shape and tensor.stride() to debug.** (85% success)
   ```
   Check tensor shapes and strides before the operation. Ensure no dimension is zero and strides are valid. Print tensor.shape and tensor.stride() to debug.
   ```
2. **Use torch.cuda.synchronize() after the operation to get a more detailed traceback.** (70% success)
   ```
   Use torch.cuda.synchronize() after the operation to get a more detailed traceback.
   ```

## Dead Ends

- **** — Restarting the kernel or process does not fix the underlying invalid tensor argument. (90% fail)
- **** — Increasing batch size or memory allocation does not address the invalid argument error. (95% fail)