[Build][Bugfix] Fix source code path to avoid reference error (#726)

### What this PR does / why we need it?
Fix source code path to avoid reference error in docker image
fix #725

Signed-off-by: MengqingCao <[email protected]>

Author: MengqingCao

.github/workflows/image_openeuler.yml

@@ -88,6 +88,8 @@ jobs:
       uses: docker/build-push-action@v6
       with:
         platforms: linux/amd64,linux/arm64
+        # use the current repo path as the build context, ensure .git is contained
+        context: .
         # only trigger when tag, branch/main push
         push: ${{ github.event_name == 'push' && github.repository_owner == 'vllm-project' }}
         labels: ${{ steps.meta.outputs.labels }}

.github/workflows/image_ubuntu.yml

@@ -88,6 +88,8 @@ jobs:
       uses: docker/build-push-action@v6
       with:
         platforms: linux/amd64,linux/arm64
+        # use the current repo path as the build context, ensure .git is contained
+        context: .
         # only trigger when tag, branch/main push
         push: ${{ github.event_name == 'push' && github.repository_owner == 'vllm-project' }}
         labels: ${{ steps.meta.outputs.labels }}

Dockerfile

@@ -31,16 +31,16 @@ RUN apt-get update -y && \
 
 WORKDIR /workspace
 
-COPY . /workspace/vllm-ascend/
+COPY . /vllm-workspace/vllm-ascend/
 
 RUN pip config set global.index-url ${PIP_INDEX_URL}
 
 # Install vLLM
 ARG VLLM_REPO=https://github.com/vllm-project/vllm.git
 ARG VLLM_TAG=v0.8.5
-RUN git clone --depth 1 $VLLM_REPO --branch $VLLM_TAG /workspace/vllm
+RUN git clone --depth 1 $VLLM_REPO --branch $VLLM_TAG /vllm-workspace/vllm
 # In x86, triton will be installed by vllm. But in Ascend, triton doesn't work correctly. we need to uninstall it.
-RUN VLLM_TARGET_DEVICE="empty" python3 -m pip install -v -e /workspace/vllm/ --extra-index https://download.pytorch.org/whl/cpu/ && \
+RUN VLLM_TARGET_DEVICE="empty" python3 -m pip install -v -e /vllm-workspace/vllm/ --extra-index https://download.pytorch.org/whl/cpu/ && \
     python3 -m pip uninstall -y triton && \
     python3 -m pip cache purge
 
@@ -49,7 +49,7 @@ RUN VLLM_TARGET_DEVICE="empty" python3 -m pip install -v -e /workspace/vllm/ --e
 RUN source /usr/local/Ascend/ascend-toolkit/set_env.sh && \
     source /usr/local/Ascend/nnal/atb/set_env.sh && \
     export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/usr/local/Ascend/ascend-toolkit/latest/`uname -i`-linux/devlib && \
-    python3 -m pip install -v -e /workspace/vllm-ascend/ --extra-index https://download.pytorch.org/whl/cpu/ && \
+    python3 -m pip install -v -e /vllm-workspace/vllm-ascend/ --extra-index https://download.pytorch.org/whl/cpu/ && \
     python3 -m pip cache purge
 
 # Install modelscope (for fast download) and ray (for multinode)

Dockerfile.openEuler

@@ -30,23 +30,23 @@ RUN pip config set global.index-url ${PIP_INDEX_URL}
 
 WORKDIR /workspace
 
-COPY . /workspace/vllm-ascend/  
+COPY . /vllm-workspace/vllm-ascend/  
 
 # Install vLLM
 ARG VLLM_REPO=https://github.com/vllm-project/vllm.git
 ARG VLLM_TAG=v0.8.5
 
-RUN git clone --depth 1 $VLLM_REPO --branch $VLLM_TAG /workspace/vllm
+RUN git clone --depth 1 $VLLM_REPO --branch $VLLM_TAG /vllm-workspace/vllm
 # In x86, triton will be installed by vllm. But in Ascend, triton doesn't work correctly. we need to uninstall it.
-RUN VLLM_TARGET_DEVICE="empty" python3 -m pip install -e /workspace/vllm/ --extra-index https://download.pytorch.org/whl/cpu/ && \
+RUN VLLM_TARGET_DEVICE="empty" python3 -m pip install -e /vllm-workspace/vllm/ --extra-index https://download.pytorch.org/whl/cpu/ && \
     python3 -m pip uninstall -y triton && \
     python3 -m pip cache purge
 
 # Install vllm-ascend
 RUN source /usr/local/Ascend/ascend-toolkit/set_env.sh && \
     source /usr/local/Ascend/nnal/atb/set_env.sh && \
     export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/usr/local/Ascend/ascend-toolkit/latest/`uname -i`-linux/devlib && \
-    python3 -m pip install -v -e /workspace/vllm-ascend/ --extra-index https://download.pytorch.org/whl/cpu/ && \
+    python3 -m pip install -v -e /vllm-workspace/vllm-ascend/ --extra-index https://download.pytorch.org/whl/cpu/ && \
     python3 -m pip cache purge
 
 # Install modelscope (for fast download) and ray (for multinode)