Comments (3)
Hi,
I'm not familiar with the package compatibility of the functions there. However, I have used pytorch > 1.7.0 with no problem running the fairseq code version (with fused_ops). Could you simply try running with some later pytorch version and see if there are any errors reported?
Best,
Yu
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Sorry, the use of THC is not compatible with torch>1.11, instead 1.1. The problem I met is the same as HERE.
I managed to compile the fused_ops with torch==1.11, and found that I would succeed if I made the following changes.
- remove all include about "THC" in *.cu files.
- change
THCudaCheck(cudaGetLastError())
toAT_CUDA_CHECK(cudaGetLastError())
. - change the include of
THC/THCDeviceUtils.cuh
toATen/cuda/DeviceUtils.cuh
. - remove
extern THCState *state
in softmax_dropout_kernel.cu.
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Hi,
Thanks for providing more details. I have limited knowledge about the THC part so I couldn't provide any useful information about it. I'm not sure if making those changes will somehow change the code behavior (hopefully not). The safest way probably is to create a virtual environment and run with pytorch <= 1.9.0 (I remembered this is the latest version that I have tested). Thank you anyways for providing the information for making the package compatible with newer pytorch versions.
Best,
Yu
from coco-lm.
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