test=docuemtn_fix no test

Author: swgu98

.github/workflows/_Distribute-stable.yml

@@ -198,55 +198,55 @@ jobs:
         #     docker stop ${{ env.container_name }}
         #     docker rm ${{ env.container_name }}
 
-  test:
-    name: Test
-    needs: build
-    runs-on:
-      group: Distribute
-    steps:
-      - name: Download paddle.tar.gz and merge target branch
-        run: |
-          sudo rm -rf * .[^.]*
-          wget -q --no-proxy https://paddle-github-action.bj.bcebos.com/PR/gpups/${{ env.PR_ID }}/${{ env.COMMIT_ID }}/Paddle.tar.gz --no-check-certificate
-          tar --use-compress-program='pzstd' -xf Paddle.tar.gz --strip-components=1
-          echo "Extracting Paddle.tar.gz"
-          tar xf Paddle.tar.gz --strip-components=1
-          rm Paddle.tar.gz
-          git checkout test
-          echo "Pull upstream develop"
-          git pull upstream $BRANCH --no-edit
+  # test:
+  #   name: Test
+  #   needs: build
+  #   runs-on:
+  #     group: Distribute
+  #   steps:
+  #     - name: Download paddle.tar.gz and merge target branch
+  #       run: |
+  #         sudo rm -rf * .[^.]*
+  #         wget -q --no-proxy https://paddle-github-action.bj.bcebos.com/PR/gpups/${{ env.PR_ID }}/${{ env.COMMIT_ID }}/Paddle.tar.gz --no-check-certificate
+  #         tar --use-compress-program='pzstd' -xf Paddle.tar.gz --strip-components=1
+  #         echo "Extracting Paddle.tar.gz"
+  #         tar xf Paddle.tar.gz --strip-components=1
+  #         rm Paddle.tar.gz
+  #         git checkout test
+  #         echo "Pull upstream develop"
+  #         git pull upstream $BRANCH --no-edit
 
-      - name: Check docker image and run container
-        env:
-          FLAGS_fraction_of_gpu_memory_to_use: 0.15
-          CTEST_OUTPUT_ON_FAILURE: 1
-          CTEST_PARALLEL_LEVEL: 4
-          WITH_GPU: "ON"
-          WITH_AVX: "ON"
-          WITH_DISTRIBUTE: "ON"
-          WITH_HETERPS: "ON"
-          WITH_TESTING: "ON"
-          WITH_COVERAGE: "OFF"
-          CMAKE_BUILD_TYPE: Release
-          PADDLE_FRACTION_GPU_MEMORY_TO_USE: 0.15
-          PRECISION_TEST: "OFF"
-          WITH_UNITY_BUILD: "ON"
-          AGILE_COMPILE_BRANCH: ${{ github.event.pull_request.base.ref }}
-          AGILE_REVISION: ${{ github.event.pull_request.head.sha }}
-          WITH_INCREMENTAL_COVERAGE: "OFF"
-          WITH_ONNXRUNTIME: "OFF"
-          COVERALLS_UPLOAD: "ON"
-          PADDLE_VERSION: 0.0.0
-          GIT_PR_ID: ${{ github.event.pull_request.number }}
-          PY_VERSION: "3.10"
-          CUDA_ARCH_NAME: Ampere
-          WITH_CUDNN_FRONTEND: "ON"
-          FLAGS_enable_cudnn_frontend: 1
-          CACHE_DIR: /root/.cache/build
-          CCACHE_DIR: /root/.ccache/gpubox
-          no_proxy: bcebos.com,apiin.im.baidu.com,gitee.com,aliyun.com,.baidu.com,.tuna.tsinghua.edu.cn,paddlepaddle.org.cn
-        run: |
-          export CUDA_SO="$(\ls /usr/lib64/libcuda* | xargs -I{} echo "-v {}:{}") $(\ls /usr/lib64/libnvidia* | xargs -I{} echo "-v {}:{}")"
-          export DEVICES="$(\ls -d /dev/nvidia* | xargs -I{} echo "-v {}:{}") $(\ls /dev/nvidia-caps/* | xargs -I{} echo "-v {}:{}")"
-          export SMI="-v /usr/bin/nvidia-smi:/usr/bin/nvidia-smi"
-          docker run --privileged --rm -i --net=host ${CUDA_SO} ${DEVICES} ${SMI} --shm-size=32G \
+  #     - name: Check docker image and run container
+  #       env:
+  #         FLAGS_fraction_of_gpu_memory_to_use: 0.15
+  #         CTEST_OUTPUT_ON_FAILURE: 1
+  #         CTEST_PARALLEL_LEVEL: 4
+  #         WITH_GPU: "ON"
+  #         WITH_AVX: "ON"
+  #         WITH_DISTRIBUTE: "ON"
+  #         WITH_HETERPS: "ON"
+  #         WITH_TESTING: "ON"
+  #         WITH_COVERAGE: "OFF"
+  #         CMAKE_BUILD_TYPE: Release
+  #         PADDLE_FRACTION_GPU_MEMORY_TO_USE: 0.15
+  #         PRECISION_TEST: "OFF"
+  #         WITH_UNITY_BUILD: "ON"
+  #         AGILE_COMPILE_BRANCH: ${{ github.event.pull_request.base.ref }}
+  #         AGILE_REVISION: ${{ github.event.pull_request.head.sha }}
+  #         WITH_INCREMENTAL_COVERAGE: "OFF"
+  #         WITH_ONNXRUNTIME: "OFF"
+  #         COVERALLS_UPLOAD: "ON"
+  #         PADDLE_VERSION: 0.0.0
+  #         GIT_PR_ID: ${{ github.event.pull_request.number }}
+  #         PY_VERSION: "3.10"
+  #         CUDA_ARCH_NAME: Ampere
+  #         WITH_CUDNN_FRONTEND: "ON"
+  #         FLAGS_enable_cudnn_frontend: 1
+  #         CACHE_DIR: /root/.cache/build
+  #         CCACHE_DIR: /root/.ccache/gpubox
+  #         no_proxy: bcebos.com,apiin.im.baidu.com,gitee.com,aliyun.com,.baidu.com,.tuna.tsinghua.edu.cn,paddlepaddle.org.cn
+  #       run: |
+  #         export CUDA_SO="$(\ls /usr/lib64/libcuda* | xargs -I{} echo "-v {}:{}") $(\ls /usr/lib64/libnvidia* | xargs -I{} echo "-v {}:{}")"
+  #         export DEVICES="$(\ls -d /dev/nvidia* | xargs -I{} echo "-v {}:{}") $(\ls /dev/nvidia-caps/* | xargs -I{} echo "-v {}:{}")"
+  #         export SMI="-v /usr/bin/nvidia-smi:/usr/bin/nvidia-smi"
+  #         docker run --privileged --rm -i --net=host ${CUDA_SO} ${DEVICES} ${SMI} --shm-size=32G \