Running Santcoder-fast-inference throws UserWarning: FALLBACK path has been taken inside

[murthyrudra]

System Info

• transformers version: 4.27.0.dev0
• Platform: Linux-4.18.0 x86_64-with-glibc2.28
• Python version: 3.9.0
• Huggingface_hub version: 0.11.1
• PyTorch version (GPU?): 1.13.1 (True)
• Tensorflow version (GPU?): not installed (NA)
• Flax version (CPU?/GPU?/TPU?): not installed (NA)
• Jax version: not installed
• JaxLib version: not installed
• Using GPU in script?: Yes
• Using distributed or parallel set-up in script?: No

Who can help?

While testing bigcode/santacoder-fast-inference model on openai_human_eval dataset. I am getting the following warning. Is there something to be concerned about?

anaconda3/envs/NLPWorkSpace/lib/python3.9/site-packages/transformers-4.27.0.dev0-py3.9.egg/transformers/models/gpt_bigcode/modeling_gpt_bigcode.py:259: UserWarning: FALLBACK path has been
taken inside: runCudaFusionGroup. This is an indication that codegen Failed for some reason.                                                                               
To debug try disable codegen fallback path via setting the env variable `export PYTORCH_NVFUSER_DISABLE=fallback`                                                                                                  
 (Triggered internally at /opt/conda/conda-bld/pytorch_1670525551200/work/torch/csrc/jit/codegen/cuda/manager.cpp:331.)                                                                                            
  attn_weights = upcast_masked_softmax(attn_weights, attention_mask, mask_value, unscale, softmax_dtype)

@mayank31398 @joel

Information

• The official example scripts
• My own modified scripts

Tasks

• An officially supported task in the examples folder (such as GLUE/SQuAD, ...)
• My own task or dataset (give details below)

Reproduction

Running inference on OpenAI's HumanEval dataset leads to this warning. Specifically when I use temperature = 0.2 and top_p = 0.2 in model.generate method

Expected behavior

No Warning

[jlamypoirier]

Looks like Jit failed for an unknown reason. I don't think that will break anything, but it probably means the kernels aren't fused and things will run a bit slower. I can't really reproduce this, can you try running with the suggested environment variable to get the actual error?