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Request about cuda version when using GPUs #43

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wuhaixu2016 opened this issue Dec 25, 2021 · 4 comments
Closed

Request about cuda version when using GPUs #43

wuhaixu2016 opened this issue Dec 25, 2021 · 4 comments

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@wuhaixu2016
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Hi, Thanks for your code.

I try to run this code on GPUs. But I do suffer a lot in the environment setting.

Can you provide the version of CUDA, jaxlib, jax, flax, when using GPUs for training?

@wuhaixu2016
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Hi, I have solved this problem with the following settings:

  • cuda: 10.1
  • jax: 0.2.13
  • jaxlib: 0.1.65+cuda101
  • flax: 0.2.2
  • tensorflow: 2.7.0

@BalloutAI
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Hello,
How were you able to install cuda 10.1 with tensorflow 2.7.0 as it needs cuda 11 version

@DaShenZi721
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@wuhaixu2016 Hello! Sorry to bother you. Have you ever encountered the following problem? I think it may be related to the version of flax.

Traceback (most recent call last):
  File "lra_benchmarks/listops/train.py", line 28, in <module>
    from flax.deprecated import nn
ModuleNotFoundError: No module named 'flax.deprecated'

@DaShenZi721
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@wuhaixu2016 This is my setting:

  • cuda: 11.2
  • jax: 0.2.13
  • jaxlib: 0.1.65+cuda112
  • flax: 0.2.2
  • tensorflow: 2.7.0

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3 participants