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Unpin gxx_linux-64 requirement (#3655)
Summary: The TestPartitioning.TestPartitioningBigRange test case fails on gcc version 13.2. We can avoid this by requiring gcc version 11.2 where the test case works. Pull Request resolved: #3655 Test Plan: Check github workflows and test branches Reviewed By: ramilbakhshyiev Differential Revision: D59988036 Pulled By: gtwang01
1 parent 85df0e0 commit a5faa59

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‎.circleci/config.yml

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@@ -37,7 +37,7 @@ jobs:
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- run:
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name: Install env using main channel
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command: |
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conda install -y -q python=3.11 cmake make swig mkl=2023 mkl-devel=2023 numpy scipy pytest gxx_linux-64=11.2 sysroot_linux-64
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conda install -y -q python=3.11 cmake make swig mkl=2023 mkl-devel=2023 numpy scipy pytest gxx_linux-64 sysroot_linux-64
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- run:
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name: Build all targets
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no_output_timeout: 30m

‎.github/actions/build_cmake/action.yml

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@@ -41,30 +41,25 @@ runs:
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# install base packages for X86_64
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if [ "${{ runner.arch }}" = "X64" ]; then
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# TODO: unpin versions for gxx_linux-64 and sysroot_linux-64 and merge it with ARM64 below
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if [ "${{ inputs.rocm }}" = "ON" ]; then
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conda install -y -q -c conda-forge gxx_linux-64 sysroot_linux-64
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else
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conda install -y -q -c conda-forge gxx_linux-64=11.2 sysroot_linux-64=2.28
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fi
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# TODO: merge this with ARM64
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conda install -y -q -c conda-forge gxx_linux-64 sysroot_linux-64
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conda install -y -q mkl=2023 mkl-devel=2023
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fi
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# install CUDA packages
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if [ "${{ inputs.gpu }}" = "ON" ] && [ "${{ inputs.raft }}" = "OFF" ]; then
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conda install -y -q cuda-toolkit -c "nvidia/label/cuda-11.8.0"
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conda install -y -q cuda-toolkit -c "nvidia/label/cuda-12.4.0"
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fi
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# install RAFT packages
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if [ "${{ inputs.raft }}" = "ON" ]; then
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conda install -y -q libraft cuda-version=11.8 cuda-toolkit -c rapidsai-nightly -c "nvidia/label/cuda-11.8.0" -c conda-forge
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conda install -y -q libraft cuda-version=12.4 cuda-toolkit -c rapidsai-nightly -c "nvidia/label/cuda-12.4.0" -c conda-forge
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fi
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# install test packages
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conda install -y pytest
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if [ "${{ inputs.gpu }}" = "ON" ]; then
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conda install -y -q pytorch pytorch-cuda=11.8 -c pytorch -c nvidia/label/cuda-11.8.0
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conda install -y -q pytorch pytorch-cuda=12.4 -c pytorch -c nvidia/label/cuda-12.4.0
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else
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conda install -y -q pytorch -c pytorch
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fi

‎.github/actions/build_conda/action.yml

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@@ -13,10 +13,6 @@ inputs:
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description: "Enable RAFT support."
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default: ""
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required: false
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compiler_version:
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description: "compiler_version"
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default: "Compiler version for C/C++/CUDA."
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required: false
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runs:
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using: composite
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steps:
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shell: ${{ steps.choose_shell.outputs.shell }}
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working-directory: conda
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run: |
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conda build faiss-gpu --variants '{ "cudatoolkit": "${{ inputs.cuda }}", "c_compiler_version": "${{ inputs.compiler_version }}", "cxx_compiler_version": "${{ inputs.compiler_version }}" }' \
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conda build faiss-gpu --variants '{ "cudatoolkit": "${{ inputs.cuda }}" }' \
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-c pytorch -c nvidia/label/cuda-${{ inputs.cuda }} -c nvidia
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- name: Conda build (GPU) w/ anaconda upload
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if: inputs.label != '' && inputs.cuda != '' && inputs.raft == ''
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env:
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PACKAGE_TYPE: ${{ inputs.label }}
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run: |
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conda build faiss-gpu --variants '{ "cudatoolkit": "${{ inputs.cuda }}", "c_compiler_version": "${{ inputs.compiler_version }}", "cxx_compiler_version": "${{ inputs.compiler_version }}" }' \
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conda build faiss-gpu --variants '{ "cudatoolkit": "${{ inputs.cuda }}" }' \
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--user pytorch --label ${{ inputs.label }} -c pytorch -c nvidia/label/cuda-${{ inputs.cuda }} -c nvidia
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- name: Conda build (GPU w/ RAFT)
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if: inputs.label == '' && inputs.cuda != '' && inputs.raft != ''
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shell: ${{ steps.choose_shell.outputs.shell }}
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working-directory: conda
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run: |
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conda build faiss-gpu-raft --variants '{ "cudatoolkit": "${{ inputs.cuda }}", "c_compiler_version": "${{ inputs.compiler_version }}", "cxx_compiler_version": "${{ inputs.compiler_version }}" }' \
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conda build faiss-gpu-raft --variants '{ "cudatoolkit": "${{ inputs.cuda }}" }' \
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-c pytorch -c nvidia/label/cuda-${{ inputs.cuda }} -c nvidia -c rapidsai -c rapidsai-nightly -c conda-forge
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- name: Conda build (GPU w/ RAFT) w/ anaconda upload
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if: inputs.label != '' && inputs.cuda != '' && inputs.raft != ''
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env:
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PACKAGE_TYPE: ${{ inputs.label }}
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run: |
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conda build faiss-gpu-raft --variants '{ "cudatoolkit": "${{ inputs.cuda }}", "c_compiler_version": "${{ inputs.compiler_version }}", "cxx_compiler_version": "${{ inputs.compiler_version }}" }' \
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conda build faiss-gpu-raft --variants '{ "cudatoolkit": "${{ inputs.cuda }}" }' \
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--user pytorch --label ${{ inputs.label }} -c pytorch -c nvidia/label/cuda-${{ inputs.cuda }} -c nvidia -c rapidsai -c rapidsai-nightly -c conda-forge

‎.github/workflows/build.yml

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with:
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label: main
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cuda: "11.4.4"
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compiler_version: "11.2"
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linux-x86_64-GPU-RAFT-packages-CUDA11-8-0:
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name: Linux x86_64 GPU w/ RAFT packages (CUDA 11.8.0)
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if: github.event_name == 'push' && startsWith(github.ref, 'refs/tags/v')
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label: main
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raft: "ON"
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cuda: "11.8.0"
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compiler_version: "11.2"
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linux-x86_64-GPU-packages-CUDA-12-1-1:
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name: Linux x86_64 GPU packages (CUDA 12.1.1)
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if: github.event_name == 'push' && startsWith(github.ref, 'refs/tags/v')
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with:
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label: main
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cuda: "12.1.1"
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compiler_version: "11.2"
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linux-x86_64-GPU-RAFT-packages-CUDA12-1-1:
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name: Linux x86_64 GPU w/ RAFT packages (CUDA 12.1.1)
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if: github.event_name == 'push' && startsWith(github.ref, 'refs/tags/v')
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label: main
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raft: "ON"
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cuda: "12.1.1"
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compiler_version: "11.2"
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windows-x86_64-packages:
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name: Windows x86_64 packages
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if: github.event_name == 'push' && startsWith(github.ref, 'refs/tags/v')

‎.github/workflows/nightly.yml

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@@ -38,7 +38,6 @@ jobs:
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with:
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label: nightly
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cuda: "11.4.4"
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compiler_version: "11.2"
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linux-x86_64-GPU-RAFT-CUDA11-8-0-nightly:
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name: Linux x86_64 GPU w/ RAFT nightlies (CUDA 11.8.0)
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runs-on: 4-core-ubuntu-gpu-t4
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label: nightly
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raft: "ON"
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cuda: "11.8.0"
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compiler_version: "11.2"
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linux-x86_64-GPU-CUDA-12-1-1-nightly:
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name: Linux x86_64 GPU nightlies (CUDA 12.1.1)
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runs-on: 4-core-ubuntu-gpu-t4
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with:
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label: nightly
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cuda: "12.1.1"
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compiler_version: "11.2"
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linux-x86_64-GPU-RAFT-CUDA12-1-1-nightly:
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name: Linux x86_64 GPU w/ RAFT nightlies (CUDA 12.1.1)
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runs-on: 4-core-ubuntu-gpu-t4
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label: nightly
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raft: "ON"
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cuda: "12.1.1"
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compiler_version: "11.2"
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windows-x86_64-nightly:
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name: Windows x86_64 nightlies
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runs-on: windows-2019

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