fix(//docker): Workaround only shared libraries being available in

PyTorch container

Signed-off-by: Naren Dasan <naren@narendasan.com>
Signed-off-by: Naren Dasan <narens@nvidia.com>

Author: narendasan

docker/Dockerfile.20.07

@@ -14,6 +14,9 @@ COPY . /workspace/TRTorch
 RUN rm /workspace/TRTorch/WORKSPACE
 COPY ./docker/WORKSPACE.cu11.docker  /workspace/TRTorch/WORKSPACE
 
+# Workaround for bazel expecting both static and shared versions, we only use shared libraries inside container
+RUN cp /usr/lib/x86_64-linux-gnu/libnvinfer.so /usr/lib/x86_64-linux-gnu/libnvinfer_static.a
+
 WORKDIR /workspace/TRTorch
 RUN bazel build //:libtrtorch --compilation_mode opt
 

third_party/tensorrt/local/BUILD

@@ -68,8 +68,9 @@ cc_import(
         "//conditions:default": "lib/x86_64-linux-gnu/libnvinfer.so",
     }),
     static_library = select({
+        ":aarch64_linux": "lib/aarch64-linux-gnu/libnvinfer_static.a",
         ":windows": "lib/nvinfer.lib",
-        "//conditions:default": ""
+        "//conditions:default": "lib/x86_64-linux-gnu/libnvinfer_static.a"
     }),
     visibility = ["//visibility:private"],
 )