deepspeedai / deepspeedai/DeepSpeed

Failing to build with DS_BUILD_OPS=1 due to missing nccl.h file

Open
#7,468 3 comments 0 reactions 0 assignees View on GitHub

Nobody has claimed this yet.

Dominant language
Python
Stars
43.1k
Forks
5k
Avg merge
4d 15h
Merged PRs (30d)
112

Description

Hi, I'm having troubles installing deepspeed with additional flags. When I run

export NCCL_HOME=$CONDA_PREFIX/lib/python3.11/site-packages/nvidia/nccl
DS_BUILD_OPS=1 DS_BUILD_TRANSFORMER_INFERENCE=1 pip install --force-reinstall deepspeed --no-cache  --no-deps

I get the following error:

 building 'deepspeed.ops.dc_op' extension
      creating build/temp.linux-x86_64-cpython-311/csrc/compile
      /home/conda/envs/petrov_dpo/bin/x86_64-conda-linux-gnu-c++ -fvisibility-inlines-hidden -fmessage-length=0 -march=nocona -mtune=haswell -ftree-vectorize -fPIC -fstack-protector-strong -fno-plt -O2 -ffunction-sections -pipe -isystem /home/conda/envs/petrov_dpo/include -I/home/conda/envs/petrov_dpo/targets/x86_64-linux/include -L/home/conda/envs/petrov_dpo/targets/x86_64-linux/lib -L/home/conda/envs/petrov_dpo/targets/x86_64-linux/lib/stubs -DNDEBUG -D_FORTIFY_SOURCE=2 -O2 -isystem /home/conda/envs/petrov_dpo/include -I/home/conda/envs/petrov_dpo/targets/x86_64-linux/include -L/home/conda/envs/petrov_dpo/targets/x86_64-linux/lib -L/home/conda/envs/petrov_dpo/targets/x86_64-linux/lib/stubs -fPIC -I/tmp/pip-install-xj439mbp/deepspeed_e6e2eefe53f349b98db99e60376d7866/csrc/includes -I/tmp/pip-install-xj439mbp/deepspeed_e6e2eefe53f349b98db99e60376d7866/csrc/compile -I/home/conda/envs/petrov_dpo/include -I/home/conda/envs/petrov_dpo/lib/python3.11/site-packages/torch/include -I/home/conda/envs/petrov_dpo/lib/python3.11/site-packages/torch/include/torch/csrc/api/include -I/home/conda/envs/petrov_dpo/include -I/home/conda/envs/petrov_dpo/include/python3.11 -c csrc/compile/deepcompile.cpp -o build/temp.linux-x86_64-cpython-311/csrc/compile/deepcompile.o -O3 -std=c++17 -g -Wno-reorder -L/home/conda/envs/petrov_dpo/lib -lcudart -lcublas -g -march=native -fopenmp -D__AVX512__ -D__ENABLE_CUDA__ -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE=\"_gcc\" -DPYBIND11_STDLIB=\"_libstdcpp\" -DPYBIND11_BUILD_ABI=\"_cxxabi1016\" -DTORCH_EXTENSION_NAME=dc_op -D_GLIBCXX_USE_CXX11_ABI=1
      In file included from /tmp/pip-install-xj439mbp/deepspeed_e6e2eefe53f349b98db99e60376d7866/csrc/includes/deepcompile.h:20,
                       from csrc/compile/deepcompile.cpp:6:
      /home/conda/envs/petrov_dpo/lib/python3.11/site-packages/torch/include/torch/csrc/distributed/c10d/NCCLUtils.hpp:15:10: fatal error: nccl.h: No such file or directory
         15 | #include <nccl.h>
            |          ^~~~~~~~
      compilation terminated.
      error: command '/home/conda/envs/petrov_dpo/bin/x86_64-conda-linux-gnu-c++' failed with exit code 1      

Is there a way to solve it? I'm using cudann installed via conda and thus I have non standard folders for cuda, nvcc and other libraries.

Contributor guide

Open the contributing guide

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

Start with the reported DS_BUILD_OPS=1 installation command and inspect csrc/compile/deepcompile.cpp, csrc/includes/deepcompile.h, and the included torch NCCLUtils.hpp. Reproduce the missing nccl.h failure in the described conda environment, then verify that the documented or implemented build configuration completes successfully with the non-standard CUDA paths.

Written by the indexing model from the issue text.

Assessment

Tech stack
cpp, python
Domain
build-system
Issue type
Bug
Difficulty
4/5
Estimated time
3-5 days
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
30/100

Get new issues in your inbox

A short digest of beginner-friendly GitHub issues.