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Add HIP/ROCm version to collect_env.py #44106

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t-vi wants to merge 2 commits into from
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Add HIP/ROCm version to collect_env.py #44106

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@t-vi t-vi commented Sep 3, 2020

This adds HIP version info to the collect_env.py output.

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💊 CI failures summary and remediations

As of commit 246bce6 (more details on the Dr. CI page):

  • 2/2 failures possibly* introduced in this PR
    • 2/2 non-CircleCI failure(s)

Extra GitHub checks: 1 failed

codecov.io: 1 failed

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This comment has been revised 6 times.

@zou3519 zou3519 self-requested a review September 3, 2020 14:17
@zou3519 zou3519 added the triaged This issue has been looked at a team member, and triaged and prioritized into an appropriate module label Sep 3, 2020
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t-vi commented Sep 11, 2020

@jeffdaily Would this still be useful?

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zou3519 commented Sep 11, 2020

@t-vi Sorry, this fell off my radar. Could you rebase this so that we could get some CI signal on this again?

Do you have an AMD machine / could you paste some sample output from the script as well please?

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jeffdaily commented Sep 11, 2020

Yes, still useful. Thank you. LGTM. Verified on my own systems.

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jeffdaily commented Sep 11, 2020

Sample output from one of my systems:

Collecting environment information...
PyTorch version: 1.7.0a0+9ddd3df
Is debug build: False
CUDA used to build PyTorch: N/A
ROCM used to build PyTorch: 3.7.20315-077bcfa0

OS: Ubuntu 18.04.4 LTS (x86_64)
GCC version: (Ubuntu 7.5.0-3ubuntu1~18.04) 7.5.0
Clang version: 11.0.0 (/src/external/llvm-project/clang ee4e4ebbadcc8ea14ce99e34ed31ab31e94827ac)
CMake version: version 3.14.0

Python version: 3.6 (64-bit runtime)
Is CUDA available: True
CUDA runtime version: N/A
GPU models and configuration: Device 66a1
Nvidia driver version: Could not collect
cuDNN version: N/A
HIP runtime version: 3.18.2
MIOpen runtime version: 2.6.0

Versions of relevant libraries:
[pip3] numpy==1.18.5
[pip3] torch==1.7.0a0+a9603c7
[pip3] torchvision==0.8.0a0+a4736ea
[conda] blas                      1.0                         mkl
[conda] mkl                       2020.1                      217
[conda] mkl-include               2020.1                      217
[conda] mkl-service               2.3.0            py36he904b0f_0
[conda] mkl_fft                   1.1.0            py36h23d657b_0
[conda] mkl_random                1.1.1            py36h0573a6f_0
[conda] numpy                     1.18.5           py36ha1c710e_0
[conda] numpy-base                1.18.5           py36hde5b4d6_0

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t-vi commented Sep 11, 2020

ROCm PyTorch:

Collecting environment information...
PyTorch version: 1.7.0a0+98ad5ff
Is debug build: False
CUDA used to build PyTorch: N/A
ROCM used to build PyTorch: 3.7.20315-077bcfa0

OS: Debian GNU/Linux bullseye/sid (x86_64)
GCC version: (Debian 10.2.0-6) 10.2.0
Clang version: Could not collect
CMake version: version 3.16.3

Python version: 3.8 (64-bit runtime)
Is CUDA available: True
CUDA runtime version: N/A
GPU models and configuration: Vega 20 [Radeon VII]
Nvidia driver version: 450.66
cuDNN version: N/A
HIP runtime version: 3.18.2
MIOpen runtime version: 2.6.0

Versions of relevant libraries:
[pip3] numpy==1.19.1
[pip3] pytorch-pretrained-bert==0.6.2
[pip3] pytorch-transformers==1.2.0
[pip3] torch==1.7.0a0+98ad5ff
[pip3] torchvision==0.8.0a0+1aef87d
[conda] Could not collect

CUDA PyTorch on the same box (slightly different commit):

PyTorch version: 1.7.0a0+6b3f335
Is debug build: False
CUDA used to build PyTorch: 10.2
ROCM used to build PyTorch: N/A

OS: Debian GNU/Linux bullseye/sid (x86_64)
GCC version: (Debian 10.2.0-6) 10.2.0
Clang version: Could not collect
CMake version: version 3.16.3

Python version: 3.8 (64-bit runtime)
Is CUDA available: True
CUDA runtime version: 10.2.89
GPU models and configuration: GPU 0: GeForce GTX 1080 Ti
Nvidia driver version: 450.66
cuDNN version: Could not collect
HIP runtime version: N/A
MIOpen runtime version: N/A

Versions of relevant libraries:
[pip3] numpy==1.19.1
[pip3] pytorch-pretrained-bert==0.6.2
[pip3] pytorch-transformers==1.2.0
[pip3] torch==1.7.0a0+98ad5ff
[pip3] torchvision==0.8.0a0+1aef87d
[conda] Could not collect

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@zou3519 has imported this pull request. If you are a Facebook employee, you can view this diff on Phabricator.

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codecov bot commented Sep 11, 2020 •
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Codecov Report

Merging #44106 into master will decrease coverage by 0.00%.
The diff coverage is 42.85%.

Impacted file tree graph

@@            Coverage Diff             @@
##           master   #44106      +/-   ##
==========================================
- Coverage   67.98%   67.97%   -0.01%     
==========================================
  Files         384      384              
  Lines       49590    49596       +6     
==========================================
+ Hits        33712    33714       +2     
- Misses      15878    15882       +4
Impacted Files Coverage Δ
torch/utils/collect_env.py 67.53% <42.85%> (-0.92%) ⬇️

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facebook-github-bot commented Sep 14, 2020

@zou3519 merged this pull request in bd257a1.

xuzhao9 pushed a commit that referenced this pull request Sep 18, 2020
@t-vi @xuzhao9
Add HIP/ROCm version to collect_env.py (#44106)
f539a7f 
Summary:
This adds HIP version info to the `collect_env.py` output.

Pull Request resolved: #44106

Reviewed By: VitalyFedyunin

Differential Revision: D23652341

Pulled By: zou3519

fbshipit-source-id: a1f5bce8da7ad27a1277a95885934293d0fd43c5
@malfet malfet mentioned this pull request Nov 4, 2020
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