Build from source fails completely on WSL2 [Ubuntu-20.04]

[OPPEYRADY]

Trying to build from source using WSL2 on Ubuntu-20.04 Is there something I'm doing wrong or missing?

Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com, https://pypi.ngc.nvidia.com, https://download.pytorch.org/whl/cu121, https://pypi.nvidia.com
Collecting accelerate==0.25.0 (from -r requirements.txt (line 3))
Obtaining dependency information for accelerate==0.25.0 from https://files.pythonhosted.org/packages/f7/fc/c55e5a2da345c9a24aa2e1e0f60eb2ca290b6a41be82da03a6d4baec4f99/accelerate-0.25.0-py3-none-any.whl.metadata
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Collecting cuda-python==12.2.0 (from -r requirements.txt (line 6))
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Obtaining dependency information for diffusers==0.15.0 from https://files.pythonhosted.org/packages/13/43/d4ae69ba5f503d58c7aef13f0f93d9c84694652dc2a16f8ea3d8246ebe95/diffusers-0.15.0-py3-none-any.whl.metadata
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Collecting transformers==4.36.1 (from -r requirements.txt (line 19))
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Collecting onnxruntime>=1.16.1 (from nvidia-ammo~=0.5.0->-r requirements.txt (line 18))
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Building wheel for rouge_score (setup.py): finished with status 'done'
Created wheel for rouge_score: filename=rouge_score-0.1.2-py3-none-any.whl size=24952 sha256=e5b89c70f4d52e87f38377f3f8a7298630f3b6f007435fb4506402ef6b64c4cf
Stored in directory: /tmp/pip-ephem-wheel-cache-afsavn1h/wheels/5f/dd/89/461065a73be61a532ff8599a28e9beef17985c9e9c31e541b4
Successfully built rouge_score
Installing collected packages: sentencepiece, flatbuffers, distlib, xxhash, virtualenv, typing-extensions, safetensors, pyproject_hooks, pynvml, pybind11-stubgen, pyarrow-hotfix, pyarrow, py, parameterized, nodeenv, nltk, mypy-extensions, lark, identify, humanfriendly, graphviz, dill, cuda-python, coverage, colored, cfgv, rouge_score, rich, responses, pytest-forked, pre-commit, mypy, multiprocess, janus, huggingface-hub, coloredlogs, build, tokenizers, pytest-cov, onnxsim, onnxruntime, onnx-graphsurgeon, diffusers, accelerate, transformers, torchprofile, datasets, nvidia-ammo, evaluate, optimum
Attempting uninstall: typing-extensions
Found existing installation: typing_extensions 4.7.1
Uninstalling typing_extensions-4.7.1:
Successfully uninstalled typing_extensions-4.7.1
Attempting uninstall: pynvml
Found existing installation: pynvml 11.4.1
Uninstalling pynvml-11.4.1:
Successfully uninstalled pynvml-11.4.1
Attempting uninstall: pyarrow
Found existing installation: pyarrow 11.0.0
Uninstalling pyarrow-11.0.0:
Successfully uninstalled pyarrow-11.0.0
Attempting uninstall: cuda-python
Found existing installation: cuda-python 12.2.0rc5+5.g84845d1
Uninstalling cuda-python-12.2.0rc5+5.g84845d1:
Successfully uninstalled cuda-python-12.2.0rc5+5.g84845d1
ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.
dask-cuda 23.8.0 requires pynvml<11.5,>=11.0.0, but you have pynvml 11.5.0 which is incompatible.
torch-tensorrt 0.0.0 requires tensorrt<8.7,>=8.6, but you have tensorrt 9.2.0.post12.dev5 which is incompatible.
Successfully installed accelerate-0.25.0 build-1.0.3 cfgv-3.4.0 colored-2.2.4 coloredlogs-15.0.1 coverage-7.4.1 cuda-python-12.2.0 datasets-2.17.1 diffusers-0.15.0 dill-0.3.8 distlib-0.3.8 evaluate-0.4.1 flatbuffers-23.5.26 graphviz-0.20.1 huggingface-hub-0.20.3 humanfriendly-10.0 identify-2.5.35 janus-1.0.0 lark-1.1.9 multiprocess-0.70.16 mypy-1.8.0 mypy-extensions-1.0.0 nltk-3.8.1 nodeenv-1.8.0 nvidia-ammo-0.5.1 onnx-graphsurgeon-0.3.27 onnxruntime-1.17.0 onnxsim-0.4.35 optimum-1.17.1 parameterized-0.9.0 pre-commit-3.6.2 py-1.11.0 pyarrow-15.0.0 pyarrow-hotfix-0.6 pybind11-stubgen-2.4.2 pynvml-11.5.0 pyproject_hooks-1.0.0 pytest-cov-4.1.0 pytest-forked-1.6.0 responses-0.18.0 rich-13.7.0 rouge_score-0.1.2 safetensors-0.4.2 sentencepiece-0.2.0 tokenizers-0.15.2 torchprofile-0.0.4 transformers-4.36.1 typing-extensions-4.8.0 virtualenv-20.25.0 xxhash-3.4.1
WARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv

[notice] A new release of pip is available: 23.2.1 -> 24.0
[notice] To update, run: python3 -m pip install --upgrade pip
-- The CXX compiler identification is GNU 11.4.0
-- Detecting CXX compiler ABI info
-- Detecting CXX compiler ABI info - done
-- Check for working CXX compiler: /usr/bin/c++ - skipped
-- Detecting CXX compile features
-- Detecting CXX compile features - done
-- NVTX is disabled
-- Importing batch manager
-- Building PyTorch
-- Building Google tests
-- Building benchmarks
-- Looking for a CUDA compiler
-- Looking for a CUDA compiler - /usr/local/cuda/bin/nvcc
-- CUDA compiler: /usr/local/cuda/bin/nvcc
-- GPU architectures: 90-real;89-real
-- The C compiler identification is GNU 11.4.0
-- The CUDA compiler identification is NVIDIA 12.2.140
-- Detecting C compiler ABI info
-- Detecting C compiler ABI info - done
-- Check for working C compiler: /usr/bin/cc - skipped
-- Detecting C compile features
-- Detecting C compile features - done
-- Detecting CUDA compiler ABI info
-- Detecting CUDA compiler ABI info - done
-- Check for working CUDA compiler: /usr/local/cuda/bin/nvcc - skipped
-- Detecting CUDA compile features
-- Detecting CUDA compile features - done
-- Found CUDAToolkit: /usr/local/cuda/include (found version "12.2.140")
-- Performing Test CMAKE_HAVE_LIBC_PTHREAD
-- Performing Test CMAKE_HAVE_LIBC_PTHREAD - Success
-- Found Threads: TRUE
-- CUDA library status:
--     version: 12.2.140
--     libraries: /usr/local/cuda/lib64
--     include path: /usr/local/cuda/targets/x86_64-linux/include
-- ========================= Importing and creating target nvinfer ==========================
-- Looking for library nvinfer
-- Library that was found /usr/local/tensorrt/targets/x86_64-linux-gnu/lib/libnvinfer.so
-- ==========================================================================================
-- CUDAToolkit_VERSION 12.2 is greater or equal than 11.0, enable -DENABLE_BF16 flag
-- CUDAToolkit_VERSION 12.2 is greater or equal than 11.8, enable -DENABLE_FP8 flag
-- Found MPI_C: /opt/hpcx/ompi/lib/libmpi.so (found version "3.1")
-- Found MPI_CXX: /opt/hpcx/ompi/lib/libmpi.so (found version "3.1")
-- Found MPI: TRUE (found version "3.1")
-- COMMON_HEADER_DIRS: /src/tensorrt_llm/cpp;/usr/local/cuda/include
-- Found Python3: /usr/bin/python3.10 (found version "3.10.12") found components: Interpreter Development Development.Module Development.Embed
-- USE_CXX11_ABI is set by python Torch to 1
CMake Warning at CMakeLists.txt:304 (message):
Ignoring environment variable TORCH_CUDA_ARCH_LIST=5.2 6.0 6.1 7.0 7.2 7.5
8.0 8.6 8.7 9.0+PTX

-- TORCH_CUDA_ARCH_LIST: 9.0;8.9
-- Found Python executable at /usr/bin/python3.10
-- Found Python libraries at /usr/lib/x86_64-linux-gnu
-- Found CUDA: /usr/local/cuda (found version "12.2")
-- Found CUDAToolkit: /usr/local/cuda/include (found version "12.2.140")
-- Caffe2: CUDA detected: 12.2
-- Caffe2: CUDA nvcc is: /usr/local/cuda/bin/nvcc
-- Caffe2: CUDA toolkit directory: /usr/local/cuda
-- Caffe2: Header version is: 12.2
-- /usr/local/cuda-12.2/targets/x86_64-linux/lib/libnvrtc.so shorthash is 000ca627
CMake Warning (dev) at /usr/local/lib/python3.10/dist-packages/cmake/data/share/cmake-3.27/Modules/FindPackageHandleStandardArgs.cmake:438 (message):
The package name passed to `find_package_handle_standard_args` (nvtx3) does
not match the name of the calling package (Caffe2).  This can lead to
problems in calling code that expects `find_package` result variables
(e.g., `_FOUND`) to follow a certain pattern.
Call Stack (most recent call first):
/usr/local/lib/python3.10/dist-packages/torch/share/cmake/Caffe2/public/cuda.cmake:216 (find_package_handle_standard_args)
/usr/local/lib/python3.10/dist-packages/torch/share/cmake/Caffe2/Caffe2Config.cmake:87 (include)
/usr/local/lib/python3.10/dist-packages/torch/share/cmake/Torch/TorchConfig.cmake:68 (find_package)
CMakeLists.txt:337 (find_package)
This warning is for project developers.  Use -Wno-dev to suppress it.

-- Found nvtx3: /usr/local/cuda/include
-- USE_CUDNN is set to 0. Compiling without cuDNN support
-- USE_CUSPARSELT is set to 0. Compiling without cuSPARSELt support
-- Added CUDA NVCC flags for: -gencode;arch=compute_90,code=sm_90;-gencode;arch=compute_89,code=sm_89
CMake Warning at /usr/local/lib/python3.10/dist-packages/torch/share/cmake/Torch/TorchConfig.cmake:22 (message):
static library kineto_LIBRARY-NOTFOUND not found.
Call Stack (most recent call first):
/usr/local/lib/python3.10/dist-packages/torch/share/cmake/Torch/TorchConfig.cmake:127 (append_torchlib_if_found)
CMakeLists.txt:337 (find_package)

-- Found Torch: /usr/local/lib/python3.10/dist-packages/torch/lib/libtorch.so
-- TORCH_CXX_FLAGS: -D_GLIBCXX_USE_CXX11_ABI=1
-- Building for TensorRT version: 9.2.0, library version: 9
-- Using MPI_C_INCLUDE_DIRS: /opt/hpcx/ompi/include;/opt/hpcx/ompi/include/openmpi;/opt/hpcx/ompi/include/openmpi/opal/mca/hwloc/hwloc201/hwloc/include;/opt/hpcx/ompi/include/openmpi/opal/mca/event/libevent2022/libevent;/opt/hpcx/ompi/include/openmpi/opal/mca/event/libevent2022/libevent/include
-- Using MPI_C_LIBRARIES: /opt/hpcx/ompi/lib/libmpi.so
-- CMAKE_SYSTEM_PROCESSOR: x86_64
-- Operating System: ubuntu, 22.04
CMake Error at tensorrt_llm/CMakeLists.txt:105 (message):
The batch manager library is truncated or incomplete.  This is usually
caused by using Git LFS (Large File Storage) incorrectly.  Please try
running command `git lfs install && git lfs pull`.

-- Configuring incomplete, errors occurred!
Traceback (most recent call last):
File "/src/tensorrt_llm/scripts/build_wheel.py", line 306, in <module>
main(**vars(args))
File "/src/tensorrt_llm/scripts/build_wheel.py", line 160, in main
build_run(
File "/usr/lib/python3.10/subprocess.py", line 526, in run
raise CalledProcessError(retcode, process.args,
subprocess.CalledProcessError: Command 'cmake -DCMAKE_BUILD_TYPE="Release" -DBUILD_PYT="ON" -DBUILD_PYBIND="OFF" "-DCMAKE_CUDA_ARCHITECTURES=90-real;89-real" -DTRT_LIB_DIR=/usr/local/tensorrt/targets/x86_64-linux-gnu/lib -DTRT_INCLUDE_DIR=/usr/local/tensorrt/include  -S "/src/tensorrt_llm/cpp"' returned non-zero exit status 1.