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Downgrade to CuDNN 8.9.0
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.circleci/config.yml

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@@ -94,7 +94,7 @@ commands:
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- << parameters.install-dir >>
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install-cudnn:
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description: "Install CUDNN 8.9.1"
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description: "Install CUDNN 8.9.0"
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parameters:
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os:
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type: string
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default: "x86_64"
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cudnn-version:
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type: string
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default: "8.9.1.23"
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default: "8.9.0.131"
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cuda-version:
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type: string
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default: "cuda12.1"
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default: "cuda12.0"
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cudnn-version:
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type: string
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default: "8.9.1.23"
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default: "8.9.0.131"
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trt-version-short:
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type: string
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default: "8.6.1"
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default: "8.6.1"
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cudnn-version-long:
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type: string
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default: "8.9.1.23"
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default: "8.9.0.131"
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steps:
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- run:
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name: Set up python environment
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default: true
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cudnn-version:
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type: string
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default: "8.9.1.23"
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default: "8.9.0.131"
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trt-version-short:
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type: string
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default: "8.6.1"

README.md

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@@ -118,7 +118,7 @@ These are the following dependencies used to verify the testcases. Torch-TensorR
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- Bazel 5.2.0
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- Libtorch 2.1.0.dev20230613 (built with CUDA 12.1)
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- CUDA 12.1
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- cuDNN 8.9.1
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- cuDNN 8.9.0
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- TensorRT 8.6.1
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## Prebuilt Binaries and Wheel files

WORKSPACE

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@@ -71,10 +71,10 @@ http_archive(
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http_archive(
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name = "cudnn",
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build_file = "@//third_party/cudnn/archive:BUILD",
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sha256 = "35163c5c542be0c511738b27e25235193cbeedc5e0e006e44b1cdeaf1922e83e",
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strip_prefix = "cudnn-linux-x86_64-8.9.1.23_cuda12-archive",
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sha256 = "477631002be61022b60961cba0a501271507a93f81d6b08384bc320cb8706c98",
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strip_prefix = "cudnn-linux-x86_64-8.9.0.131_cuda12-archive",
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urls = [
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"https://developer.nvidia.com/downloads/compute/cudnn/secure/8.9.1/local_installers/12.x/cudnn-linux-x86_64-8.9.1.23_cuda12-archive.tar.xz",
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"https://developer.nvidia.com/downloads/compute/cudnn/secure/8.9.0/local_installers/12.x/cudnn-linux-x86_64-8.9.0.131_cuda12-archive.tar.xz",
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],
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)
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