arrayfire / arrayfire/arrayfire-python

OpenCL interoperability does not work on 64-bit OS

未关闭
#265 2 条评论 0 个 reaction 已指派 0 人 在 GitHub 查看
主要语言
Python
星标
422
派生
63
PR 合并指标
30 天内没有已合并 PR

描述

Currently the OpenCL interoperability does not work on 64-bit Windows machine. The reason for this is the use of `c_int_t` which defaults to long on Windows (which on the other hand is 32-bit). This can be problematic with things like device IDs as they can easily go over 2^32/2-1. For example https://github.com/arrayfire/arrayfire-python/blob/master/arrayfire/opencl.py#L88 uses `c_int_t`, as well as a few other functions in the same file. This can be fixed by replacing the `c_int_t` with, for example, `c_void_ptr_t` as it is used with the context. Is there by the way some specific reason why context is treated differently?

There is also another issue. When the context is created by PyOpenCL, the input device, context and queue values are input as python ints in order to use the same context and queue, but on Windows you get `: int too long to convert` errors then. These can be avoided by casting them to, for example, `c_int64`-types. For example in https://github.com/arrayfire/arrayfire-python/blob/master/arrayfire/opencl.py#L156, replace `safe_call(backend.get().afcl_add_device_context(dev, ctx, que))` with `safe_call(backend.get().afcl_add_device_context(ct.c_int64(dev), ct.c_int64(ctx), ct.c_int64(que)))` (using `c_void_p` seems to work too).

I haven't tested these changes extensively, but they do seem to get things working on 64-bit Windows. I can provide a PR if needed.

贡献指南

这个仓库没有索引到贡献指南

调研方向

The affected entry points are arrayfire/opencl.py around lines 88 and 156, plus the other c_int_t uses in that file. Read those ctypes declarations first, then reproduce the 64-bit Windows OpenCL/PyOpenCL setup; done means device IDs and shared device, context, and queue values no longer overflow and interoperability works.

由索引模型根据 Issue 内容生成。

评估

技术栈
python
领域
hpc
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

把新 issue 发到你的邮箱

精选适合新手参与的 GitHub issue 摘要。