Fix LD_LIBRARY_PATH for onnx docker

Signed-off-by: Keval Morabia <[email protected]>

Author: kevalmorabia97

.github/workflows/example_tests.yml

@@ -74,11 +74,11 @@ jobs:
       - uses: nv-gha-runners/setup-proxy-cache@main
       - name: Setup environment variables
         run: |
-          echo "LD_LIBRARY_PATH=/usr/include:/usr/lib/x86_64-linux-gnu:/usr/local/tensorrt/targets/x86_64-linux-gnu/lib:${LD_LIBRARY_PATH}" >> $GITHUB_ENV
-          echo "PATH=/usr/local/tensorrt/targets/x86_64-linux-gnu/bin:${PATH}" >> $GITHUB_ENV
+          echo "LD_LIBRARY_PATH=${LD_LIBRARY_PATH}:/usr/include:/usr/lib/x86_64-linux-gnu:/usr/local/tensorrt/targets/x86_64-linux-gnu/lib" >> $GITHUB_ENV
+          echo "PATH=${PATH}:/usr/local/tensorrt/targets/x86_64-linux-gnu/bin" >> $GITHUB_ENV
       - name: Run example tests
         run: |
-          pip install ".[all,dev-test]"
+          pip install ".[hf,dev-test]"
           find examples/${{ matrix.EXAMPLE }} -name "requirements.txt" | while read req_file; do pip install -r "$req_file" || exit 1; done
           pytest -s tests/examples/${{ matrix.EXAMPLE }}
   example-tests-non-pr:

.github/workflows/gpu_tests.yml

@@ -66,11 +66,14 @@ jobs:
       image: nvcr.io/nvidia/pytorch:25.06-py3
       env:
         GIT_DEPTH: 1000 # For correct version for tests/gpu/torch/quantization/plugins/test_megatron.py
-        LD_LIBRARY_PATH: "/usr/lib/x86_64-linux-gnu:${LD_LIBRARY_PATH}" # Add libcudnn*.so and libnv*.so to path.
         PIP_CONSTRAINT: "" # Disable pip constraint for upgrading packages
     steps: &gpu_steps
       - uses: actions/checkout@v4
       - uses: nv-gha-runners/setup-proxy-cache@main
+      - name: Setup environment variables
+        run: |
+          echo "LD_LIBRARY_PATH=${LD_LIBRARY_PATH}:/usr/include:/usr/lib/x86_64-linux-gnu:/usr/local/tensorrt/targets/x86_64-linux-gnu/lib" >> $GITHUB_ENV
+          echo "PATH=${PATH}:/usr/local/tensorrt/targets/x86_64-linux-gnu/bin" >> $GITHUB_ENV
       - name: Run gpu tests
         run: pip install tox-current-env && tox -e py312-cuda12-gpu --current-env
   gpu-tests-non-pr:

.gitlab/tests.yml

@@ -34,9 +34,9 @@ unit:
   tags: [docker, linux, 2-gpu]
   before_script:
     # Add libcudnn*.so and libnv*.so to path
-    - export LD_LIBRARY_PATH="/usr/include:/usr/lib/x86_64-linux-gnu:/usr/local/tensorrt/targets/x86_64-linux-gnu/lib:${LD_LIBRARY_PATH}"
+    - export LD_LIBRARY_PATH="${LD_LIBRARY_PATH}:/usr/include:/usr/lib/x86_64-linux-gnu:/usr/local/tensorrt/targets/x86_64-linux-gnu/lib"
     # Add trtexec to path
-    - export PATH="/usr/local/tensorrt/targets/x86_64-linux-gnu/bin:${PATH}"
+    - export PATH="${PATH}:/usr/local/tensorrt/targets/x86_64-linux-gnu/bin"
     # Install git-lfs for Daring-Anteater dataset
     - apt-get update && apt-get install -y git-lfs
     - git lfs install --system
@@ -56,7 +56,7 @@ example-torch:
     matrix:
       - EXAMPLE: [llm_distill, llm_sparsity, speculative_decoding]
   script:
-    - pip install ".[all,dev-test]"
+    - pip install ".[hf,dev-test]"
     - find examples/$EXAMPLE -name "requirements.txt" | while read req_file; do pip install -r "$req_file" || exit 1; done
     - pytest -s tests/examples/$EXAMPLE
 

docs/source/getting_started/_installation_for_Linux.rst

@@ -40,8 +40,8 @@ Environment setup
 
     .. code-block:: shell
 
-        export LD_LIBRARY_PATH="/usr/include:/usr/lib/x86_64-linux-gnu:/usr/local/tensorrt/targets/x86_64-linux-gnu/lib:${LD_LIBRARY_PATH}"
-        export PATH="/usr/local/tensorrt/targets/x86_64-linux-gnu/bin:${PATH}"
+        export LD_LIBRARY_PATH="${LD_LIBRARY_PATH}:/usr/include:/usr/lib/x86_64-linux-gnu:/usr/local/tensorrt/targets/x86_64-linux-gnu/lib"
+        export PATH="${PATH}:/usr/local/tensorrt/targets/x86_64-linux-gnu/bin"
 
     You may need to install additional dependencies from the respective examples's `requirements.txt` file.