how can i build with envd for cmake dockerfile command

[Xiaoaier-Z-L]

one example dockerfile command:
RUN CUDAFLAGS="-include stdio.h" cmake
-D CMAKE_EXPORT_COMPILE_COMMANDS=1
-D CMAKE_BUILD_TYPE=Release
-D ENABLE_FP8=OFF
-D CMAKE_INSTALL_PREFIX=/opt/tritonserver
-D TRITON_COMMON_REPO_TAG="r${NVIDIA_TRITON_SERVER_VERSION}"
-D TRITON_CORE_REPO_TAG="r${NVIDIA_TRITON_SERVER_VERSION}"
-D TRITON_BACKEND_REPO_TAG="r${NVIDIA_TRITON_SERVER_VERSION}"
.. &&
cd _deps/repo-ft-src/ &&
git log | head -n 3 2>&1 | tee /workspace/build/fastertransformer_backend/FT_version.txt &&
cd /workspace/build/fastertransformer_backend/build &&
CUDAFLAGS="-include stdio.h" make -O -j"$(grep -c ^processor /proc/cpuinfo)" install &&
rm /workspace/build/fastertransformer_backend/build/bin/_example -rf &&
rm /workspace/build/fastertransformer_backend/build/lib/libBackend.so -rf

[kemingy]

You can try:

fast_transformer_cmd = """
CUDAFLAGS="-include stdio.h" cmake
-D CMAKE_EXPORT_COMPILE_COMMANDS=1
-D CMAKE_BUILD_TYPE=Release
-D ENABLE_FP8=OFF
-D CMAKE_INSTALL_PREFIX=/opt/tritonserver
-D TRITON_COMMON_REPO_TAG="r${NVIDIA_TRITON_SERVER_VERSION}"
-D TRITON_CORE_REPO_TAG="r${NVIDIA_TRITON_SERVER_VERSION}"
-D TRITON_BACKEND_REPO_TAG="r${NVIDIA_TRITON_SERVER_VERSION}"
.. &&
cd _deps/repo-ft-src/ &&
git log | head -n 3 2>&1 | tee /workspace/build/fastertransformer_backend/FT_version.txt &&
cd /workspace/build/fastertransformer_backend/build &&
CUDAFLAGS="-include stdio.h" make -O -j"$(grep -c ^processor /proc/cpuinfo)" install &&
rm /workspace/build/fastertransformer_backend/build/bin/_example -rf &&
rm /workspace/build/fastertransformer_backend/build/lib/libBackend.so -rf
"""

def build():
    run(commands=[fast_transformer_cmd])

[Xiaoaier-Z-L]

got, thx.

[Xiaoaier-Z-L]

and can i make it as a myself build functions to reuse them by importing it with include?

[kemingy]

Of course. You can store it in a git repo and import with include("github.com/xxx/xxx") to reuse it.

[kemingy]

Refer to:

• https://github.com/tensorchord/envdlib
• https://envd.tensorchord.ai/api/starlark/lib/lang.html

[Xiaoaier-Z-L]

Thank you, it's great for me.