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https://github.com/microsoft/DeepSpeed -``` - - -### Build modification - -`DeepSpeed/op_builder/builder.py` line 192: -change to: -```python -with open('/opt/rocm-5.1.0/.info/version-dev', 'r') as file: -``` - -### use torch-hipify - -The torch install includes a copy it, but it is outdated and can't recognize the `header_include_dirs` keywords if you use microsoft DeepSpeed. - -Instead, we want to use the DeepSpeed forked at AMD: - - -``` -git clone https://github.com/ROCmSoftwarePlatform/hipify_torch - -``` - - -## Build from source - -We can now do `python setup.py bdist_wheel` - -For example: - -``` -export __HIP_PLATFORM_AMD__ -export HCC_AMDGPU_TARGET=gfx90a -export ROCM_HOME=$ROCM_PATH -python setup.py bdist_wheel - -``` -|Options | Status| -|--- | --- | -| DS_BUILD_UTILS=1 | OK | -| DS_BUILD_FUSED_LAMB=1 | OK | -| DS_BUILD_FUSED_ADAM=1 | OK | -| DS_BUILD_CPU_ADAM=1 | OK | -| DS_BUILD_TRANSFORMER=1 | FAIL | -| DS_BUILD_STOCHASTIC_TRANSFORMER=1 | FAIL | - diff --git a/frontier/crusher-pytorch.md b/frontier/crusher-pytorch.md old mode 100644 new mode 100755 diff --git a/frontier/frontier_pytorch.md b/frontier/frontier_pytorch.md index 51cc99a..d3d4b5f 100644 --- a/frontier/frontier_pytorch.md +++ b/frontier/frontier_pytorch.md @@ -1,112 +1,112 @@ -- [Build from source](#build-from-source) - - [prep Frontier modules](#prep-frontier-modules) - - [module output on Frontier](#module-output-on-frontier) - - [setup miniconda3](#setup-miniconda3) - - [build pytorch](#build-pytorch) - - [Build options: see `setup.py`](#build-options-see-setuppy) - - [regenerate CMAKE build files](#regenerate-cmake-build-files) - - [Kineto and roctracer.h problem](#kineto-and-roctracerh-problem) - - [Build DeepSpeed](#build-deepspeed) - - [Install GPTNeoX](#install-gptneox) +## On rocm/pytorch compatibility -# Build from source +![alt text](frontier_rocmTorch_table.png) -## prep Frontier modules + +## Basic environment setup ``` -module load PrgEnv-gnu -module load gcc/10.3.0 -module load rocm/5.1.0 -module load craype-x86-trento +ROCM_VER=6.0.0 +module load PrgEnv-gnu/8.5.0 +module load rocm/6.0.0 +module load gcc-native/12.3 +module load craype-accel-amd-gfx90a +module load cmake +module load miniforge3/23.11.0-0 +module unload darshan-runtime export HCC_AMDGPU_TARGET=gfx90a export PYTORCH_ROCM_ARCH=gfx90a -export ROCM_SOURCE_DIR=/opt/rocm-5.1.0 -export CRAY_CPU_TARGET=x86_64 # just to remove warning noise +export ROCM_HOME=/opt/rocm-${ROCM_VER} +export CC=cc +export CXX=CC ``` -## module output on Frontier -``` -Currently Loaded Modules: - 1) libfabric/1.15.2.0 4) cray-dsmml/0.2.2 7) gcc/10.3.0 10) DefApps/default 13) craype-accel-amd-gfx90a - 2) craype-network-ofi 5) cray-libsci/22.12.1.1 8) darshan-runtime/3.4.0 11) cray-mpich/8.1.23 14) craype-x86-trento - 3) craype/2.7.19 6) PrgEnv-gnu/8.3.3 9) hsi/default 12) rocm/5.1.0 -``` -Note: One of the module between `craype-x86-trento` and `craype-accel-amd-gfx90a` fixed a linking problem. My guess is the former. +## conda and mpi4py setup -## setup miniconda3 - -``` -wget https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh -bash ./Miniconda3-latest-Linux-x86_64.sh -b -p miniconda -conda create -n pytorch python=3.8 -conda active pytorch -pip install -r requirements.txt ``` +conda create -p /sw/aaims/frontier/rocm600-pt230 \ + python=3.10 numpy=1 -c conda-forge -## build pytorch +source activate /sw/aaims/frontier/rocm600-pt230 +pip install pyyaml typing_extensions ninja packaging -``` -git clone --recursive -b IFU-master-2022-11-22 https://github.com/ROCmSoftwarePlatform/pytorch -python tools/amd_build/build_amd.py -USE_KINETO=0 USE_ROCM=1 MAX_JOBS=4 python setup.py bdist_wheel 2>&1 | tee output +# Optional: install mpi4py +MPICC="cc -shared" pip install --no-cache-dir --no-binary=mpi4py mpi4py ``` -### Build options: see `setup.py` +## Build pytorch ``` -USE_KINETO=0 # disable profiler, ask for roctracer.h -``` -### regenerate CMAKE build files +TORCH_VER=release/2.3-frontier +git clone --recursive -b ${TORCH_VER} \ + https://github.com/michael-sandoval/pytorch -This will trigger a rebuild for the changed configuration. +cd pytorch -``` -cd pytorch/build -rm CMakeCache.txt -``` -To remove previous build as well: +# redundant +#git submodule init +#git submodule update -``` -python setup.py clean -``` -### Kineto and roctracer.h problem + +# If using GCC12 to build torch: +export CFLAGS=" -Wno-error=maybe-uninitialized -Wno-error=uninitialized -Wno-error=restrict -Wno-error=nonnull" +export CXXFLAGS=" -Wno-error=maybe-uninitialized -Wno-error=uninitialized -Wno-error=restrict -Wno-error=nonnull" +export BUILD_TEST=OFF -Kineto requires roctracer, which fails in rocm 5.1.0 -``` -if (NOT ROCM_SOURCE_DIR) - set(ROCM_SOURCE_DIR "$ENV{ROCM_SOURCE_DIR}") - message(INFO " ROCM_SOURCE_DIR = ${ROCM_SOURCE_DIR}") -endif() -``` +# Generate HIP files +python3 tools/amd_build/build_amd.py -For reason unknown at this point, the `ROCM_SOURCE_DIR` is still set as `/opt/rocm` instead of `/opt/rocm-5.1.0` even though the environment variable is set. -So the easy workaround is: +# Set the PyTorch build version +export PYTORCH_BUILD_VERSION="2.3.0" +export PYTORCH_BUILD_NUMBER=1 -``` -set(ROCM_SOURCE_DIR /opt/rocm-5.1.0) + +# Point libkineto away from "/opt/rocm" to "/opt/rocm-x.y.z" +cp ./frontier_fixes/third_party/kineto/libkineto/CMakeLists.txt \ + ./third_party/kineto/libkineto/CMakeLists.txt + +# Fix "rocm-core/rocm_version.h" reference post HIP conversion (ONLY WHEN USING ROCm < 6.0.0) + + +# Build PyTorch +USE_ROCM=1 USE_CUDA=OFF USE_NVCC=OFF BUILD_CAFFE2_OPS=0 ROCM_SOURCE_DIR="/opt/rocm-${ROCM_VER}" MAX_JOBS=8 python setup.py bdist_wheel + ``` -## Build DeepSpeed +After compilation, I have: ``` -git clone https://github.com/microsoft/DeepSpeed -DS_BUILD_FUSED_LAMB=1 DS_BUILD_FUSED_ADAM=1 DS_BUILD_TRANSFORMER=1 DS_BUILD_STOCHASTIC_TRANSFORMER=1 DS_BUILD_UTILS=1 python setup.py bdist_wheel -python setup.py install +dist/torch-2.3.0-cp310-cp310-linux_x86_64.whl ``` -## Install GPTNeoX +## Verify ``` -pip install shortuuid # missed from -git clone https://github.com/EleutherAI/gpt-neox.git -pip install -r requirements/requirements.txt -pip install -r requirements/requirements-wandb.txt -pip install -r requirements/requirements-tensorboard.txt +pip install dist/*.whl + ``` +``` +>>> import torch +Traceback (most recent call last): + File "", line 1, in + File "/lustre/orion/stf218/proj-shared/fwang2/pytorch/torch/__init__.py", line 546, in + raise ImportError(textwrap.dedent(''' +ImportError: Failed to load PyTorch C extensions: + It appears that PyTorch has loaded the `torch/_C` folder + of the PyTorch repository rather than the C extensions which + are expected in the `torch._C` namespace. This can occur when + using the `install` workflow. e.g. + $ python setup.py install && python -c "import torch" + + This error can generally be solved using the `develop` workflow + $ python setup.py develop && python -c "import torch" # This should succeed + or by running Python from a different directory. +``` diff --git a/frontier/frontier_rocmTorch_table.png b/frontier/frontier_rocmTorch_table.png new file mode 100644 index 0000000000000000000000000000000000000000..da96b7ace92a0a286ad04b4a0a2980a49d1e422a GIT binary patch literal 58510 zcmd?Qg=^lD?@jPz)&LH4BeeW=fF_k z!F%8Lz0ddk?qBfDa}MXQ&yKbBT6^!6Vakfqcn?S)fIuKTSs4jc5C{_n0-=TD+yhE* zr(aovKo7xI;^NA(;^NfG&JN~Qwq_uZOjv>@ww7A=vkYC;7e7Jhs&5@W%HUDceR}34 zUH&*0^rP)L&TBV_N=tPFmhEO?=tm*~K@$rV+eu>F2R$&YawZ2=(Fxx*?_*z=jpp05 zi@{_Ui@ipS0F-R0R$7EL=nKQ^FKwSO-*jYWbI8mEfPSKpya^;uN@6o_Z<7FN-J5An za_2>(u_@#4`gt>TYZyUq_+=0S6c)&ro;lbXbWRQOpi^RI1O>cW>Cbx_YWDp7ca}i3 zw++g{oJ6&%!6QT-WwZ1zqVb$?K_4_&HDm7wOcQl+KJZLd7B9g!VR&r#3SBfEt-`@z 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@@ -#!/usr/bin/bash -i - -target_dir=$PWD -miniconda_dir=$target_dir/miniconda -conda_dst_dir=$target_dir/rocm_env - -target_python_ver=3.10 - -source_file_name=torch_rocm5.rc -rocm_version=5.5.1 - -target_amd_gpu=gfx90a - -module load PrgEnv-gnu -module swap gcc gcc/11.2.0 -module load rocm/$rocm_version - -wget https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh -chmod +x Miniconda3-latest-Linux-x86_64.sh -./Miniconda3-latest-Linux-x86_64.sh -b -p $miniconda_dir - -echo "#!/usr/bin/bash -i" >& $source_file_name - -echo "module load PrgEnv-gnu" >> $source_file_name -echo "module load rocm/"$rocm_version >> $source_file_name -echo "module list" >> $source_file_name - -echo "export PATH="$miniconda_dir"/bin:\$PATH" >> $source_file_name -echo "eval ""\"\$($miniconda_dir/bin/conda shell.bash hook)\"" >> $source_file_name - -export PATH=$miniconda_dir/bin:$PATH -eval "$(/$miniconda_dir/bin/conda shell.bash hook)" - - -which conda -conda create -y --prefix=$conda_dst_dir python=$target_python_ver - - -echo "conda activate $conda_dst_dir" >> $source_file_name -conda activate $conda_dst_dir -conda update -y -n base -c defaults conda -conda install -y pyyaml -conda install -y numpy - -pip install typing_extensions - -conda install -y bazel -conda install -y -c conda-forge keras-preprocessing - -pip install pytest -pip install ninja - - -# The following is required only when using Conda -conda install -y -c conda-forge libssh - -pip3 install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/rocm5.4.2 - -pip install accelerate -pip install datasets -pip install deepspeed -pip install huggingface-hub -pip install Pillow -# tokenizers==0.11.4 does not work because Rust compiler issue -pip install tokenizers -pip install transformers -pip install webdataset - -pip install ./mpi4py-3.1.3-cp310-cp310-linux_x86_64.whl - - diff --git a/frontier/rocm551-py310/conda_env_old_pkgs.sh b/frontier/rocm551-py310/conda_env_old_pkgs.sh deleted file mode 100644 index aed4362..0000000 --- a/frontier/rocm551-py310/conda_env_old_pkgs.sh +++ /dev/null @@ -1,71 +0,0 @@ -#!/usr/bin/bash -i - -target_dir=$PWD -miniconda_dir=$target_dir/miniconda -conda_dst_dir=$target_dir/rocm_env - -target_python_ver=3.10 - -source_file_name=torch_rocm5.rc -rocm_version=5.5.1 - -target_amd_gpu=gfx90a - -module load PrgEnv-gnu -module swap gcc gcc/11.2.0 -module load rocm/$rocm_version - -wget https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh -chmod +x Miniconda3-latest-Linux-x86_64.sh -./Miniconda3-latest-Linux-x86_64.sh -b -p $miniconda_dir - -echo "#!/usr/bin/bash -i" >& $source_file_name - -echo "module load PrgEnv-gnu" >> $source_file_name -echo "module load rocm/"$rocm_version >> $source_file_name -echo "module list" >> $source_file_name - -echo "export PATH="$miniconda_dir"/bin:\$PATH" >> $source_file_name -echo "eval ""\"\$($miniconda_dir/bin/conda shell.bash hook)\"" >> $source_file_name - -export PATH=$miniconda_dir/bin:$PATH -eval "$(/$miniconda_dir/bin/conda shell.bash hook)" - - -which conda -conda create -y --prefix=$conda_dst_dir python=$target_python_ver - - -echo "conda activate $conda_dst_dir" >> $source_file_name -conda activate $conda_dst_dir -conda update -y -n base -c defaults conda -conda install -y pyyaml -conda install -y numpy - -pip install typing_extensions - -conda install -y bazel -conda install -y -c conda-forge keras-preprocessing - -pip install pytest -pip install ninja - - -# The following is required only when using Conda -conda install -y -c conda-forge libssh - -pip3 install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/rocm5.4.2 - -pip install accelerate==0.18.0 -pip install datasets==2.12.0 -pip install deepspeed==0.9.1 -pip install huggingface-hub==0.14.1 -pip install Pillow==9.4.0 -# tokenizers==0.11.4 does not work because Rust compiler issue -pip install tokenizers==0.11.5 -pip install transformers==4.24.0 -pip install webdataset==0.2.48 - -pip install ./mpi4py-3.1.3-cp310-cp310-linux_x86_64.whl - - diff --git a/frontier/rocm551-py310/mpi4py-3.1.3-cp310-cp310-linux_x86_64.whl b/frontier/rocm551-py310/mpi4py-3.1.3-cp310-cp310-linux_x86_64.whl deleted file mode 100644 index 865c4ce4d8fe6e65276b8dc2f8f60bbf0c6ae932..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 630535 zcmZsBdpy&7{Qo&cZn-DPWl1=aODQUsg`^ToDwWGfr4-8%W^Buy-0F0pBStDonNmoz zg`u0KsL5s1D0efP+isuVdvm_uKfaIOUwLHgv)B9idfwg+d#sdM^T!{5$p1l1QS)7~ zHy`^RDgVb`7j*vE4E{I#@`de}WuDAZ)5!b_uL-{z6qJ6D~RkJ^*ALg&7`{=ZGu8NuUTE0x`1SE^t4t7Ch{TJ{_E zm)hs7kljh$_19^=>lyOS>KpIxy_})APIkwNFtsL)y++$)yt8*=%a73Bdlvf%=KR=D zzyyT7i0#E+oh+rCeokgZ*=&2QRjqeScv#)xKxP;N zOM-pxswwk(ENWCmF&#%llYwn-aY`iip*eCZ)(F-C+5h~i~6gKiQUYDOV}+5 z#K%*i*qq43-tlqajxfr@UTBT5FRahGaYXSIe$}KPOi=KZ6v%-$wV8esYrH!4E%M0J zf_GnC_k1X6_w_-AxXhYTS&=>m_6?Oy-Fqs%uo|@pAYp3{qrHsBfeA)GMf@_s-++ z7+xU;QHs8<{YkqszW8yc(;j`Of#^VdJQN=(wt9u9^x96C=P$6WThqF6MptMRqVET} 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