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After the release of pytorch 2.0.0, the compilation of ACLs is problematic. #97421

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sea-of-freedom opened this issue Mar 23, 2023 · 1 comment
Open

After the release of pytorch 2.0.0, the compilation of ACLs is problematic. #97421

sea-of-freedom opened this issue Mar 23, 2023 · 1 comment
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module: build Build system issues triaged This issue has been looked at a team member, and triaged and prioritized into an appropriate module

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@sea-of-freedom
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sea-of-freedom commented Mar 23, 2023 •
edited by pytorch-bot bot

I found that when I installed torch2.0.0 using pip, I carried a torch.libs folder with three ACL so files and two libgomp files. I wanted to know the detailed compilation options and ACL versions of the three ACL so files. What are the sources of the other two libgomp files?
libarm_compute-860e7a78.so
libarm_compute_graph-ab857ce5.so
libgomp-d22c30c5.so.1.0.0
libarm_compute_core-0793f69d.so
libgomp-adceddde.so.1.0.0

As for why I want to know this, I want to compile pytorch in the source code to link my self-installed ACLs and find that it is much slower than the torch installed using pip, under the same version of torch.

My Compilation Environment:
GCC 10.2
ACL 23.0.1
torch 2.0.0

cc @malfet @seemethere
@sea-of-freedom sea-of-freedom changed the title After the release of pytorch 1.13, the compilation of ACLs is problematic. After the release of pytorch 2.0.0, the compilation of ACLs is problematic. Mar 23, 2023
@ngimel ngimel added module: build Build system issues triaged This issue has been looked at a team member, and triaged and prioritized into an appropriate module labels Mar 23, 2023
@ngimel
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ngimel commented Mar 23, 2023

You can use torch/utils/collect_env.py script to collect information about libraries used in pytorch

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@ngimel @sea-of-freedom