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For some reason, pip will always upgrade the numpy version even when an older version has been installed.
We have to lock numpy version to the old version to make this constraint explicit.
Torchbench commit:
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| .. | ||
| audio.txt | ||
| data.txt | ||
| fbgemm.txt | ||
| multipy.txt | ||
| text.txt | ||
| torchbench.txt | ||
| torchrec.txt | ||
| triton.txt | ||
| vision.txt | ||
| xla.txt | ||