arrayfire / arrayfire/arrayfire-python
OpenCL interoperability does not work on CUDA machine
- 主要语言
- Python
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- 422
- 派生
- 63
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- 30 天内没有已合并 PR
描述
On (Linux) CUDA machine, the backend returned by `af.get_backend()` remains at unified even if the backend is correctly set as OpenCL. `af.get_active_backend()` correctly returns OpenCL as the backend, but since the interoperability functions use different way to check the backend, an error is output (see https://github.com/arrayfire/arrayfire-python/blob/master/arrayfire/opencl.py#L107). Commenting all those instances fixes the issue. The (commented) tests reproduce this error, i.e. https://github.com/arrayfire/arrayfire-python/blob/master/tests/simple/interop.py#L82
Note that this wasn't an issue on a (Windows) AMD machine, where OpenCL is the default backend.
贡献指南
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调研方向
Start with the backend checks in arrayfire/opencl.py around line 107 and inspect the commented reproduction in tests/simple/interop.py around line 82. Run that interoperability test on a Linux CUDA machine and compare get_backend() with get_active_backend(); done means OpenCL interoperability succeeds without the reported error.
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评估
- 技术栈
- python
- 领域
- backend
- Issue 类型
- 缺陷
- 难度
- 3/5
- 预计耗时
- 1-2 天
- 活跃度
- 停滞
- 描述清晰度
- 基本清楚
- 新手友好度
- 48/100