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bumps cudnnex to 1.2.1
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vedaanta authored and Borda committed Mar 21, 2024
1 parent a27bb65 commit eae26bc
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8 changes: 4 additions & 4 deletions .azure/gpu-tests.yml
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Expand Up @@ -17,17 +17,17 @@ jobs:
matrix:
# CUDA 12.1
'ubuntu22.04 | cuda 12.1 | python 3.10 | torch 2.2 | regular':
docker-image: 'pytorchlightning/lightning-thunder:ubuntu22.04-cuda12.1.1-cudnn-fe1.1.0-py3.10-pt_2.2.1'
docker-image: 'pytorchlightning/lightning-thunder:ubuntu22.04-cuda12.1.1-cudnn-fe1.2.1-py3.10-pt_2.2.1'
CUDA_VERSION_MM: '121'
'ubuntu22.04 | cuda 12.1 | python 3.10 | torch 2.2 | distributed':
docker-image: 'pytorchlightning/lightning-thunder:ubuntu22.04-cuda12.1.1-cudnn-fe1.1.0-py3.10-pt_2.2.1'
docker-image: 'pytorchlightning/lightning-thunder:ubuntu22.04-cuda12.1.1-cudnn-fe1.2.1-py3.10-pt_2.2.1'
CUDA_VERSION_MM: '121'
testing: 'distributed'
'ubuntu22.04 | cuda 12.1 | python 3.10 | torch-nightly | regular':
docker-image: 'pytorchlightning/lightning-thunder:ubuntu22.04-cuda12.1.1-cudnn-fe1.2.0-py3.10-pt_main'
docker-image: 'pytorchlightning/lightning-thunder:ubuntu22.04-cuda12.1.1-cudnn-fe1.2.1-py3.10-pt_main'
CUDA_VERSION_MM: '121'
'ubuntu22.04 | cuda 12.1 | python 3.10 | torch-nightly | distributed':
docker-image: 'pytorchlightning/lightning-thunder:ubuntu22.04-cuda12.1.1-cudnn-fe1.2.0-py3.10-pt_main'
docker-image: 'pytorchlightning/lightning-thunder:ubuntu22.04-cuda12.1.1-cudnn-fe1.2.1-py3.10-pt_main'
CUDA_VERSION_MM: '121'
testing: 'distributed'
# how long to run the job before automatically cancelling
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2 changes: 1 addition & 1 deletion dockers/ubuntu-cuda/Dockerfile
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Expand Up @@ -20,7 +20,7 @@ ARG IMAGE_TYPE="devel"
FROM nvidia/cuda:${CUDA_VERSION}-${IMAGE_TYPE}-ubuntu${UBUNTU_VERSION}

ARG CUDNN_VERSION="8.9.7.29-1"
ARG CUDNN_FRONTEND_CHECKOUT="v1.1.0"
ARG CUDNN_FRONTEND_CHECKOUT="v1.2.1"
ARG PYTHON_VERSION="3.10"
ARG TORCH_VERSION="2.2.1"
ARG TRITON_VERSION="2.2.0"
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2 changes: 1 addition & 1 deletion docs/source/fundamentals/installation.rst
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Expand Up @@ -39,7 +39,7 @@ Thunder can use NVIDIA's cuDNN Python frontend bindings to accelerate some PyTor
export CUDNN_PATH=/usr/local/lib/python3.10/dist-packages/nvidia/cudnn/
for file in $CUDNN_PATH/lib/*.so.[0-9]; do filename_without_version="${file%??}"; ln -s $file $filename_without_version; done

git clone -b v1.1.0 https://github.com/NVIDIA/cudnn-frontend.git
git clone -b v1.2.1 https://github.com/NVIDIA/cudnn-frontend.git
export CUDAToolkit_ROOT=/path/to/cuda
CMAKE_BUILD_PARALLEL_LEVEL=16 pip install cudnn_frontend/ -v

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