New jaxlib wheels cause `ptxas` error
See original GitHub issueHi everyone! I’ve been using (and enjoying 😁) JAX on an university cluster for quite a while, without much problems until now.
Unfortunately since the new jaxlib
wheels 0.1.66 and 0.1.67 have been released I’m not able to upgrade and keep a functioning install.
Here’s the error I get after upgrading
>>> import jax, jaxlib
>>> print(jax.version.__version__, jaxlib.version.__version__)
0.2.13 0.1.67
>>> a = jax.numpy.ones((100,100))**2
2021-05-20 10:09:06.617783: E external/org_tensorflow/tensorflow/stream_executor/gpu/asm_compiler.cc:93] You are using ptxas 8.x, but TF requires ptxas 9.x (and strongly prefers >= 9.2.88). Compilation of XLA kernels below will likely fail.
You do not need to update CUDA; cherry-picking the ptxas binary is sufficient.
2021-05-20 10:09:06.630330: F external/org_tensorflow/tensorflow/compiler/xla/service/gpu/nvptx_compiler.cc:478] ptxas returned an error during compilation of ptx to sass: 'Internal: ptxas exited with non-zero error code 65280, output: ptxas /tmp/tempfile-kinsler-56b28778-3690660-5c2bf4b9c1e23, line 5; fatal : Unsupported .version 6.0; current version is '5.0'
ptxas fatal : Ptx assembly aborted due to errors
' If the error message indicates that a file could not be written, please verify that sufficient filesystem space is provided.
Aborted (core dumped)
Reverting back to jaxlib 0.1.65 fixes the problem.
The CUDA installation is non-standard (the cluster uses environment module
s and I don’t have admin rights), but by setting the appropriate environment variables and paths I’ve got everything working until the new wheels came out. For completeness, here’s my nvcc
$ nvcc --version
nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2021 NVIDIA Corporation
Built on Thu_Jan_28_19:32:09_PST_2021
Cuda compilation tools, release 11.2, V11.2.142
Build cuda_11.2.r11.2/compiler.29558016_0
Issue Analytics
- State:
- Created 2 years ago
- Comments:7 (4 by maintainers)
Top Results From Across the Web
problems installing JAX on a GCP deep learning VM with GPU
Inside python 3.7 I type 'import jax' but t I get this error: ... We pushed the new wheels, so this should now...
Read more >JAX 是一个 TensorFlow 的简化库,它结合了 Autograd 和 XLA
Trying to pip install with other Linux architectures may lead to jaxlib not being installed alongside jax , although jax may successfully install...
Read more >Install Alpa — Alpa 0.2.2.dev12 documentation
This page provides instructions to install alpa from Python wheels or from source ... Building the latest Alpa-modified jaxlib requires new C++17 standards....
Read more >How to install trax, jax, jaxlib on M1 Mac on macOS 12?
I then created a new environment with python 3.9. Installation went fine, but then ran into the same error importing layers: RuntimeError: This ......
Read more >【4.5.6】结构预测--alphafold - Sam' Note
Change jaxlib==0.1.69+cuda<111> version if this is not supported in your ... ptxas returned an error during compilation of ptx to sass: ...
Read more >Top Related Medium Post
No results found
Top Related StackOverflow Question
No results found
Troubleshoot Live Code
Lightrun enables developers to add logs, metrics and snapshots to live code - no restarts or redeploys required.
Start FreeTop Related Reddit Thread
No results found
Top Related Hackernoon Post
No results found
Top Related Tweet
No results found
Top Related Dev.to Post
No results found
Top Related Hashnode Post
No results found
Top GitHub Comments
#6820 should have fixed this issue, although you’ll either need to rebuild
jaxlib
from source or wait for us to make a new release. Hope that helps!@hawkinsp That is amazing!! Thank you very much for helping with this, as soon as the new release is out I’ll check it out (I can’t compile on the cluster)