CUDA 11.3 remove (#6567)

Fix cuda 11.6 and 11.7

Check nvjpeg from CONDA Path

More cuda11.6

Trying to fix the build

Trying to fix the build

Removing nvjpeg logic

Add NvToolsExt dll path

Fix lint

.circleci/config.yml.in

@@ -853,7 +853,7 @@ jobs:
     executor:
       name: windows-gpu
     environment:
-      CUDA_VERSION: "11.3"
+      CUDA_VERSION: "11.6"
       PYTHON_VERSION: << parameters.python_version >>
     steps:
       - checkout
@@ -969,6 +969,7 @@ jobs:
           command: docker run -e CU_VERSION -e PYTHON_VERSION -e UNICODE_ABI -e PYTORCH_VERSION -t --gpus all -v $PWD:$PWD -w $PWD << parameters.wheel_docker_image >> .circleci/unittest/linux/scripts/setup_env.sh
       - run:
           name: Build torchvision C++ distribution and test
+          no_output_timeout: 30m
           command: docker run -e CU_VERSION -e PYTHON_VERSION -e UNICODE_ABI -e PYTORCH_VERSION -e UPLOAD_CHANNEL -t --gpus all -v $PWD:$PWD -w $PWD << parameters.wheel_docker_image >> packaging/build_cmake.sh
 
   cmake_macos_cpu:
@@ -1006,6 +1007,9 @@ jobs:
     steps:
       - checkout_merge
       - designate_upload_channel
+      - run:
+          name: Update CUDA driver
+          command: packaging/windows/internal/driver_update.bat
       - run:
           command: |
             set -ex

.circleci/regenerate.py

@@ -32,8 +32,8 @@ def build_workflows(prefix="", filter_branch=None, upload=False, indentation=6,
         for os_type in ["linux", "macos", "win"]:
             python_versions = PYTHON_VERSIONS
             cu_versions_dict = {
-                "linux": ["cpu", "cu102", "cu113", "cu116", "cu117", "rocm5.1.1", "rocm5.2"],
-                "win": ["cpu", "cu113", "cu116", "cu117"],
+                "linux": ["cpu", "cu102", "cu116", "cu117", "rocm5.1.1", "rocm5.2"],
+                "win": ["cpu", "cu116", "cu117"],
                 "macos": ["cpu"],
             }
             cu_versions = cu_versions_dict[os_type]
@@ -123,7 +123,6 @@ def upload_doc_job(filter_branch):
 
 manylinux_images = {
     "cu102": "pytorch/manylinux-cuda102",
-    "cu113": "pytorch/manylinux-cuda113",
     "cu116": "pytorch/manylinux-cuda116",
     "cu117": "pytorch/manylinux-cuda117",
 }
@@ -266,9 +265,9 @@ def cmake_workflows(indentation=6):
         for device in device_types:
             job = {"name": f"cmake_{os_type}_{device}", "python_version": python_version}
 
-            job["cu_version"] = "cu113" if device == "gpu" else "cpu"
+            job["cu_version"] = "cu116" if device == "gpu" else "cpu"
             if device == "gpu" and os_type == "linux":
-                job["wheel_docker_image"] = "pytorch/manylinux-cuda113"
+                job["wheel_docker_image"] = "pytorch/manylinux-cuda116"
             jobs.append({f"cmake_{os_type}_{device}": job})
     return indent(indentation, jobs)
 

.circleci/unittest/windows/scripts/install.sh

@@ -24,8 +24,8 @@ else
     fi
 
     cuda_toolkit_pckg="cudatoolkit"
-    if [[ "$CU_VERSION" == cu116 || "$CU_VERSION" == cu117 ]]; then
-        cuda_toolkit_pckg="cuda"
+    if [[ $CUDA_VERSION == 11.6 || $CUDA_VERSION == 11.7 ]]; then
+        cuda_toolkit_pckg="pytorch-cuda"
     fi
 
     echo "Using CUDA $CUDA_VERSION as determined by CU_VERSION"

packaging/build_cmake.sh

@@ -97,7 +97,7 @@ if [[ "$OSTYPE" == "msys" ]]; then
     "$script_dir/windows/internal/vc_env_helper.bat" "$script_dir/windows/internal/build_frcnn.bat" $PARALLELISM
     mv fasterrcnn_resnet50_fpn.pt Release
     cd Release
-    export PATH=$(cygpath -w "C:/Program Files (x86)/torchvision/bin"):$(cygpath -w $TORCH_PATH)/lib:$PATH
+    export PATH=$(cygpath -w "C:/Program Files/NVIDIA Corporation/NvToolsExt/bin/x64"):$(cygpath -w "C:/Program Files (x86)/torchvision/bin"):$(cygpath -w $TORCH_PATH)/lib:$PATH
 else
     make -j$PARALLELISM
 fi

packaging/pkg_helpers.bash

@@ -62,14 +62,6 @@ setup_cuda() {
       fi
       export TORCH_CUDA_ARCH_LIST="3.5;5.0+PTX;6.0;7.0;7.5;8.0;8.6"
       ;;
-    cu113)
-      if [[ "$OSTYPE" == "msys" ]]; then
-        export CUDA_HOME="C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v11.3"
-      else
-        export CUDA_HOME=/usr/local/cuda-11.3/
-      fi
-      export TORCH_CUDA_ARCH_LIST="3.5;5.0+PTX;6.0;7.0;7.5;8.0;8.6"
-      ;;
     cu102)
       if [[ "$OSTYPE" == "msys" ]]; then
         export CUDA_HOME="C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v10.2"
@@ -275,9 +267,6 @@ setup_conda_cudatoolkit_constraint() {
       cu116)
         export CONDA_CUDATOOLKIT_CONSTRAINT="- pytorch-cuda=11.6 # [not osx]"
         ;;
-      cu113)
-        export CONDA_CUDATOOLKIT_CONSTRAINT="- cudatoolkit >=11.3,<11.4 # [not osx]"
-        ;;
       cu102)
         export CONDA_CUDATOOLKIT_CONSTRAINT="- cudatoolkit >=10.2,<10.3 # [not osx]"
         ;;
@@ -307,9 +296,6 @@ setup_conda_cudatoolkit_plain_constraint() {
       cu116)
         export CONDA_CUDATOOLKIT_CONSTRAINT="pytorch-cuda=11.6"
         ;;
-      cu113)
-        export CONDA_CUDATOOLKIT_CONSTRAINT="cudatoolkit=11.3"
-        ;;
       cu102)
         export CONDA_CUDATOOLKIT_CONSTRAINT="cudatoolkit=10.2"
         ;;