Downgrade to CuDNN 8.8.1

Author: gs-olive

.circleci/config.yml

@@ -94,7 +94,7 @@ commands:
                         - << parameters.install-dir >>
 
   install-cudnn:
-    description: "Install CUDNN 8.9.1"
+    description: "Install CUDNN 8.8.1"
     parameters:
       os:
         type: string
@@ -104,7 +104,7 @@ commands:
         default: "x86_64"
       cudnn-version:
         type: string
-        default: "8.9.1.23"
+        default: "8.8.1.3"
       cuda-version:
         type: string
         default: "cuda12.1"
@@ -183,7 +183,7 @@ commands:
         default: "cuda12.0"
       cudnn-version:
         type: string
-        default: "8.9.1.23"
+        default: "8.8.1.3"
       trt-version-short:
         type: string
         default: "8.6.1"
@@ -235,7 +235,7 @@ commands:
           default: "8.6.1"
         cudnn-version-long:
           type: string
-          default: "8.9.1.23"
+          default: "8.8.1.3"
       steps:
         - run:
             name: Set up python environment
@@ -1356,7 +1356,7 @@ parameters:
     default: true
   cudnn-version:
     type: string
-    default: "8.9.1.23"
+    default: "8.8.1.3"
   trt-version-short:
     type: string
     default: "8.6.1"

README.md

@@ -118,7 +118,7 @@ These are the following dependencies used to verify the testcases. Torch-TensorR
 - Bazel 5.2.0
 - Libtorch 2.1.0.dev20230613 (built with CUDA 12.1)
 - CUDA 12.1
-- cuDNN 8.9.1
+- cuDNN 8.8.1
 - TensorRT 8.6.1
 
 ## Prebuilt Binaries and Wheel files

WORKSPACE

@@ -71,10 +71,10 @@ http_archive(
 http_archive(
     name = "cudnn",
     build_file = "@//third_party/cudnn/archive:BUILD",
-    sha256 = "35163c5c542be0c511738b27e25235193cbeedc5e0e006e44b1cdeaf1922e83e",
-    strip_prefix = "cudnn-linux-x86_64-8.9.1.23_cuda12-archive",
+    sha256 = "79d77a769c7e7175abc7b5c2ed5c494148c0618a864138722c887f95c623777c",
+    strip_prefix = "cudnn-linux-x86_64-8.8.1.3_cuda12-archive",
     urls = [
-        "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",
+        "https://developer.nvidia.com/downloads/compute/cudnn/secure/8.8.1/local_installers/12.0/cudnn-linux-x86_64-8.8.1.3_cuda12-archive.tar.xz",
     ],
 )
 

docker/README.md

@@ -17,14 +17,14 @@ Note: By default the container uses the `pre-cxx11-abi` version of Torch + Torch
 
 ### Instructions
 
-- The example below uses CUDNN 8.9 and TensorRT 8.6
+- The example below uses CUDNN 8.8 and TensorRT 8.6
 - See <a href="https://github.com/pytorch/TensorRT#dependencies">dependencies</a> for a list of current default dependencies.
 
 > From root of Torch-TensorRT repo
 
 Build:
 ```
-DOCKER_BUILDKIT=1 docker build --build-arg TENSORRT_VERSION=8.6 --build-arg CUDNN_VERSION=8.9 -f docker/Dockerfile -t torch_tensorrt:latest .
+DOCKER_BUILDKIT=1 docker build --build-arg TENSORRT_VERSION=8.6 --build-arg CUDNN_VERSION=8.8 -f docker/Dockerfile -t torch_tensorrt:latest .
 ```
 
 Run:

py/versions.py

@@ -1,4 +1,4 @@
 __version__ = "1.5.0.dev0"
 __cuda_version__ = "12.1"
-__cudnn_version__ = "8.9"
+__cudnn_version__ = "8.8"
 __tensorrt_version__ = "8.6"