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switch from 118 to 121
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.github/workflows/release_build.yml

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@@ -25,19 +25,19 @@ jobs:
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- os: linux.2xlarge
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python-version: 3.8
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python-tag: "py38"
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cuda-tag: "cu118"
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cuda-tag: "cu121"
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- os: linux.2xlarge
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python-version: 3.9
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python-tag: "py39"
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cuda-tag: "cu118"
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cuda-tag: "cu121"
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- os: linux.2xlarge
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python-version: '3.10'
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python-tag: "py310"
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cuda-tag: "cu118"
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cuda-tag: "cu121"
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- os: linux.2xlarge
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python-version: '3.11'
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python-tag: "py311"
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cuda-tag: "cu118"
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cuda-tag: "cu121"
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steps:
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# Checkout the repository to the GitHub Actions runner
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- name: Check ldd --version
@@ -73,11 +73,11 @@ jobs:
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- name: Install PyTorch and CUDA
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shell: bash
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run: |
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conda run -n build_binary pip install torch --index-url https://download.pytorch.org/whl/test/cu118
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conda run -n build_binary pip install torch --index-url https://download.pytorch.org/whl/test/cu121
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- name: Install fbgemm
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shell: bash
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run: |
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conda run -n build_binary pip install fbgemm-gpu --index-url https://download.pytorch.org/whl/test/cu118
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conda run -n build_binary pip install fbgemm-gpu --index-url https://download.pytorch.org/whl/test/cu121
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- name: Install Dependencies
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shell: bash
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run: |
@@ -111,7 +111,7 @@ jobs:
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matrix:
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os: [linux.4xlarge.nvidia.gpu]
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python-version: [3.8, 3.9, "3.10", "3.11"]
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cuda-tag: ["cu118"]
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cuda-tag: ["cu121"]
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needs: build_on_cpu
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# the glibc version should match the version of the one we used to build the binary
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# for this case, it's 2.26
@@ -176,12 +176,12 @@ jobs:
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- name: Install PyTorch and CUDA
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shell: bash
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run: |
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conda run -n build_binary pip install torch --index-url https://download.pytorch.org/whl/test/cu118
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conda run -n build_binary pip install torch --index-url https://download.pytorch.org/whl/test/cu121
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# download wheel from GHA
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- name: Install fbgemm
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shell: bash
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run: |
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conda run -n build_binary pip install fbgemm-gpu --index-url https://download.pytorch.org/whl/test/cu118
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conda run -n build_binary pip install fbgemm-gpu --index-url https://download.pytorch.org/whl/test/cu121
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- name: Install torchmetrics
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shell: bash
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run: |

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