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Update gcc version for FBGEMM install in CI (#2654)
Summary: TorchRec CI currently is failing with issues on incompatible GLIBCXX version. The cause is that FBGEMM now requires g++ 11.1+ for building binaries that reference GLIBCXX_3.4.29 (as of pytorch/pytorch#141035) As recommended in https://github.com/pytorch/FBGEMM/blob/main/.github/scripts/utils_build.bash and pytorch/FBGEMM#3423, install GCC using conda to control glibcxx version being used. Differential Revision: D67607624
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‎.github/workflows/docs.yml

+22-2
Original file line numberDiff line numberDiff line change
@@ -33,7 +33,8 @@ jobs:
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- name: Setup conda
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run: |
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wget https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh -O ~/miniconda.sh
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bash ~/miniconda.sh -b -p $HOME/miniconda
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bash ~/miniconda.sh -b -p $HOME/miniconda -u
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conda update -n base -c defaults -y conda
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- name: setup Path
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run: |
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echo "/home/ec2-user/miniconda/bin" >> $GITHUB_PATH
@@ -51,7 +52,26 @@ jobs:
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- name: Install gcc
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shell: bash
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run: |
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sudo apt-get install build-essential
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conda install -n build_binary -c conda-forge -y gxx_linux-64=11.4.0 sysroot_linux-64=2.17
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echo "[INSTALL] Setting the C/C++ compiler symlinks ..."
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cc_path=$(conda run -n build_binary printenv CC)
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cxx_path=$(conda run -n build_binary printenv CXX)
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ln -sf "${cc_path}" "$(dirname "$cc_path")/cc"
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ln -sf "${cc_path}" "$(dirname "$cc_path")/gcc"
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ln -sf "${cxx_path}" "$(dirname "$cxx_path")/c++"
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ln -sf "${cxx_path}" "$(dirname "$cxx_path")/g++"
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conda_prefix=$(conda run -n build_binary printenv CONDA_PREFIX)
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echo "[TEST] Enumerating libstdc++.so files ..."
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all_libcxx_libs=$(find "${conda_prefix}/lib" -type f -name 'libstdc++.so*' -print | sort)
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for f in $all_libcxx_libs; do
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echo "$f";
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objdump -TC "$f" | grep GLIBCXX_ | sed 's/.*GLIBCXX_\([.0-9]*\).*/GLIBCXX_\1/g' | sort -Vu | cat
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echo ""
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done
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echo "[TEST] Appending the Conda-installed libstdc++ to LD_PRELOAD ..."
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conda env config vars set -n build_binary LD_PRELOAD="${all_libcxx_libs[0]}"
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- name: setup Path
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run: |
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echo /usr/local/bin >> $GITHUB_PATH

‎.github/workflows/release_build.yml

+23-3
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@@ -48,6 +48,7 @@ jobs:
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run: |
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wget https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh -O ~/miniconda.sh
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bash ~/miniconda.sh -b -p $HOME/miniconda -u
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conda update -n base -c defaults -y conda
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- name: setup Path
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run: |
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echo "/home/ec2-user/miniconda/bin" >> $GITHUB_PATH
@@ -62,9 +63,28 @@ jobs:
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- name: check python version
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run: |
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conda run -n build_binary python --version
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- name: Install C/C++ compilers
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run: |
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sudo yum install -y gcc gcc-c++
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- name: Install gcc
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run: |
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conda install -n build_binary -c conda-forge -y gxx_linux-64=11.4.0 sysroot_linux-64=2.17
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echo "[INSTALL] Setting the C/C++ compiler symlinks ..."
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cc_path=$(conda run -n build_binary printenv CC)
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cxx_path=$(conda run -n build_binary printenv CXX)
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ln -sf "${cc_path}" "$(dirname "$cc_path")/cc"
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ln -sf "${cc_path}" "$(dirname "$cc_path")/gcc"
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ln -sf "${cxx_path}" "$(dirname "$cxx_path")/c++"
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ln -sf "${cxx_path}" "$(dirname "$cxx_path")/g++"
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conda_prefix=$(conda run -n build_binary printenv CONDA_PREFIX)
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echo "[TEST] Enumerating libstdc++.so files ..."
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all_libcxx_libs=$(find "${conda_prefix}/lib" -type f -name 'libstdc++.so*' -print | sort)
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for f in $all_libcxx_libs; do
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echo "$f";
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objdump -TC "$f" | grep GLIBCXX_ | sed 's/.*GLIBCXX_\([.0-9]*\).*/GLIBCXX_\1/g' | sort -Vu | cat
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echo ""
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done
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echo "[TEST] Appending the Conda-installed libstdc++ to LD_PRELOAD ..."
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conda env config vars set -n build_binary LD_PRELOAD="${all_libcxx_libs[0]}"
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- name: Install PyTorch and CUDA
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shell: bash
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run: |

‎.github/workflows/unittest_ci_cpu.yml

+26-5
Original file line numberDiff line numberDiff line change
@@ -45,17 +45,41 @@ jobs:
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conda info
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python --version
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conda run -n build_binary python --version
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echo "[INSTALL] Installing gcc..."
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conda install -n build_binary -c conda-forge -y gxx_linux-64=11.4.0 sysroot_linux-64=2.17
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echo "[INSTALL] Setting the C/C++ compiler symlinks ..."
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cc_path=$(conda run -n build_binary printenv CC)
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cxx_path=$(conda run -n build_binary printenv CXX)
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ln -sf "${cc_path}" "$(dirname "$cc_path")/cc"
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ln -sf "${cc_path}" "$(dirname "$cc_path")/gcc"
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ln -sf "${cxx_path}" "$(dirname "$cxx_path")/c++"
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ln -sf "${cxx_path}" "$(dirname "$cxx_path")/g++"
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conda_prefix=$(conda run -n build_binary printenv CONDA_PREFIX)
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echo "[INSTALL] Enumerating libstdc++.so files ..."
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all_libcxx_libs=$(find "${conda_prefix}/lib" -type f -name 'libstdc++.so*' -print | sort)
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for f in $all_libcxx_libs; do
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echo "$f";
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objdump -TC "$f" | grep GLIBCXX_ | sed 's/.*GLIBCXX_\([.0-9]*\).*/GLIBCXX_\1/g' | sort -Vu | cat
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echo ""
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done
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echo "[INSTALL] Appending the Conda-installed libstdc++ to LD_PRELOAD ..."
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conda env config vars set -n build_binary LD_PRELOAD="${all_libcxx_libs[0]}"
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conda run -n build_binary \
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pip install torch --index-url https://download.pytorch.org/whl/nightly/cpu
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conda run -n build_binary \
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python -c "import torch"
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python -c "import torch; print(torch.__version__, torch.version.cuda); "
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echo "torch succeeded"
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conda run -n build_binary \
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python -c "import torch.distributed"
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conda run -n build_binary \
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pip install fbgemm-gpu --index-url https://download.pytorch.org/whl/nightly/cpu
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conda run -n build_binary \
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python -c "import fbgemm_gpu"
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python -c "import torch; import fbgemm_gpu; print(fbgemm_gpu.__version__)"
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echo "fbgemm_gpu succeeded"
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conda run -n build_binary \
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pip install -r requirements.txt
@@ -73,9 +97,6 @@ jobs:
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python -m pytest torchrec -v -s -W ignore::pytest.PytestCollectionWarning --continue-on-collection-errors \
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--ignore-glob=**/test_utils/
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echo "Starting C++ Tests"
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conda install -n build_binary -y gxx_linux-64
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conda run -n build_binary \
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x86_64-conda-linux-gnu-g++ --version
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conda install -n build_binary -c anaconda redis -y
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conda run -n build_binary redis-server --daemonize yes
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mkdir cpp-build

‎torchrec/distributed/utils.py

+6-2
Original file line numberDiff line numberDiff line change
@@ -525,7 +525,9 @@ def create_global_tensor_shape_stride_from_metadata(
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"""
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size = None
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if parameter_sharding.sharding_type == ShardingType.COLUMN_WISE.value:
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row_dim = parameter_sharding.sharding_spec.shards[0].shard_sizes[0] # pyre-ignore[16]
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row_dim = parameter_sharding.sharding_spec.shards[0].shard_sizes[
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0
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] # pyre-ignore[16]
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col_dim = 0
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for shard in parameter_sharding.sharding_spec.shards:
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col_dim += shard.shard_sizes[1]
@@ -551,4 +553,6 @@ def create_global_tensor_shape_stride_from_metadata(
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for _ in range(devices_per_node):
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row_dim += parameter_sharding.sharding_spec.shards[0].shard_sizes[0]
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size = torch.Size([row_dim, col_dim])
554-
return size, (size[1], 1) if size else (torch.Size([0, 0]), (0, 1)) # pyre-ignore[7]
556+
return size, (
557+
(size[1], 1) if size else (torch.Size([0, 0]), (0, 1))
558+
) # pyre-ignore[7]

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