Cherry-pick "[RUNTIME] Implement dynamic loading with defineGetFunctionHandle for CUDA version compatibility (#2771)"#2789
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malfet merged 1 commit intotriton-lang:release/2.2.xfrom Dec 13, 2023
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…onHandle for CUDA version compatibility (triton-lang#2771)" This is needed for CUDA 11 support, which we'd like to have in the PyTorch 2.2 release. Original commit message: In case cuda 11 drivers are still used on some systems, we shouldn't call TMA and block cluster related functions directly. Instead, we can dynamically lookup the handles to avoid compatibility issues.
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malfet
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…onHandle for CUDA version compatibility (triton-lang#2771)" (triton-lang#2789) This is needed for CUDA 11 support, which we'd like to have in the PyTorch 2.2 release. Original commit message: In case cuda 11 drivers are still used on some systems, we shouldn't call TMA and block cluster related functions directly. Instead, we can dynamically lookup the handles to avoid compatibility issues. Co-authored-by: Keren Zhou <kerenzhou@openai.com>
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This is needed for CUDA 11 support, which we'd like to have in the PyTorch 2.2 release.
Original commit message:
In case cuda 11 drivers are still used on some systems, we shouldn't call TMA and block cluster related functions directly. Instead, we can dynamically lookup the handles to avoid compatibility issues.