[OpenCL] Refactor OpenCL init function#13919
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masahi merged 1 commit intoapache:mainfrom Feb 7, 2023
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On the platforms with several OpenCL platforms (e.g. Intel CPU and
NVidia GPU) it was possible to use OpenCL device only from one
platform. And in case when Intel was the first in the platforms list
than it wasn't possible to run model on NVidia GPU.
In this PR the init function was modified and now it is possible to use
OpenCL devices from different platforms. In case when there are several
GPU accelerators then it is possible to select one of them. You can use
device id to select GPU device. On the code below the device names of
two OpenCL devices are printed:
```python
import tvm
print("opencl 0: ", tvm.opencl(0).device_name)
print("opencl 1: ", tvm.opencl(1).device_name)
```
In case then the machine doesn't contain any GPUs then we will try to
use CPU if OpenCL runtime is available.
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Thanks for contributing to TVM! Please refer to the contributing guidelines https://tvm.apache.org/docs/contribute/ for useful information and tips. Please request code reviews from Reviewers by @-ing them in a comment. Generated by tvm-bot |
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cc: @masahi, @elvin-n, @srkreddy1238 |
masahi
approved these changes
Feb 7, 2023
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On the platforms with several OpenCL platforms (e.g. Intel CPU and NVidia GPU) it was possible to use OpenCL device only from one platform. And in case when Intel was the first in the platforms list than it wasn't possible to run model on NVidia GPU.
In this PR the init function was modified and now it is possible to use OpenCL devices from different platforms. In case when there are several GPU accelerators then it is possible to select one of them. You can use device id to select GPU device. On the code below the device names of two OpenCL devices are printed:
In case then the machine doesn't contain any GPUs then we will try to use CPU if OpenCL runtime is available.