pytorch runtime_error ai_generated true

RuntimeError: CUDA error: invalid argument

ID: pytorch/cuda-error-invalid-argument

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75%Fix Rate
85%Confidence
1Evidence
2023-03-15First Seen

Version Compatibility

VersionStatusIntroducedDeprecatedNotes
torch>=2.0.0 active — — —
CUDA>=11.7 active — — —

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.

generic

中文

CUDA内核启动时使用了无效参数，通常是因为向CUDA操作传递了零维度张量或非法步幅。

Official Documentation

https://pytorch.org/docs/stable/notes/cuda.html

Workarounds

  1. 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. 
    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. 70% success Use torch.cuda.synchronize() after the operation to get a more detailed traceback. 
    Use torch.cuda.synchronize() after the operation to get a more detailed traceback.

中文步骤

  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.
  2. Use torch.cuda.synchronize() after the operation to get a more detailed traceback.

Dead Ends

Common approaches that don't work:

  1. 90% fail

    Restarting the kernel or process does not fix the underlying invalid tensor argument.

  2. 95% fail

    Increasing batch size or memory allocation does not address the invalid argument error.