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[CI] Test against PyTorch 2.10
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.github/workflows/tests-nightly.yml

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platform: [linux-x64, linux-aarch64, macos, windows]
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# default runners don't have AVX-512 support, but icelake does
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cpu_type: ["", icelake]
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torch_version: ["2.3.1", "2.8.0", "2.9.1"]
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torch_version: ["2.3.1", "2.9.1", "2.10.0"]
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exclude:
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# aarch64 minimum torch version is 2.5.1
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torch_version: "2.3.1"
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pypi_index: "https://download.pytorch.org/whl/cu118"
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- cuda_version: "12.6.3"
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torch_version: "2.7.1"
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torch_version: "2.8.0"
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pypi_index: "https://download.pytorch.org/whl/cu126"
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- cuda_version: "12.8.1"
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torch_version: "2.8.0"
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torch_version: "2.9.1"
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pypi_index: "https://download.pytorch.org/whl/cu128"
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- cuda_version: "13.0.2"
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torch_version: "2.9.1"
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torch_version: "2.10.0"
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pypi_index: "https://download.pytorch.org/whl/cu130"
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# Windows CUDA Tests - T4 GPU (CUDA 11.8 only, multiple torch versions)

.github/workflows/tests-pr.yml

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platform: [linux-x64, linux-aarch64, macos]
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# default runners don't have AVX-512 support, but icelake does
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cpu_type: ["", icelake]
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torch_version: ["2.3.1", "2.9.1"]
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torch_version: ["2.3.1", "2.10.0"]
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exclude:
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# aarch64 minimum torch version is 2.5.1
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torch_version: "2.3.1"
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pypi_index: "https://download.pytorch.org/whl/cu118"
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- cuda_version: "12.8.1"
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torch_version: "2.8.0"
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torch_version: "2.9.1"
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pypi_index: "https://download.pytorch.org/whl/cu128"
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- cuda_version: "13.0.2"
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torch_version: "2.9.1"
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torch_version: "2.10.0"
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pypi_index: "https://download.pytorch.org/whl/cu130"
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# Windows CUDA test - single configuration

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