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Changes for PyTorch 2.1.0 and Python 3.11 #2621

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merged 6 commits into from
Sep 29, 2023
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@agunapal agunapal commented Sep 27, 2023

Description

Changes need to support PyTorch 2.1.0

  • Includes support for CUDA 12.1 (Default version)
  • Includes conda binary builds for python 3.11
  • Docker builds with CUDA 12.1
  • Updates to documentation
    Fixes #(issue)

Type of change

Please delete options that are not relevant.

  • Bug fix (non-breaking change which fixes an issue)
  • Breaking change (fix or feature that would cause existing functionality to not work as expected)
  • New feature (non-breaking change which adds functionality)
  • This change requires a documentation update

Feature/Issue validation/testing

Passing CI/ Regression Runs

Checklist:

  • Did you have fun?
  • Have you added tests that prove your fix is effective or that this feature works?
  • Has code been commented, particularly in hard-to-understand areas?
  • Have you made corresponding changes to the documentation?

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codecov bot commented Sep 27, 2023

Codecov Report

Merging #2621 (ec9cc03) into master (d8a1146) will decrease coverage by 0.11%.
The diff coverage is n/a.

❗ Current head ec9cc03 differs from pull request most recent head f54c3b7. Consider uploading reports for the commit f54c3b7 to get more accurate results

@@            Coverage Diff             @@
##           master    #2621      +/-   ##
==========================================
- Coverage   71.34%   71.24%   -0.11%     
==========================================
  Files          85       85              
  Lines        3905     3905              
  Branches       58       58              
==========================================
- Hits         2786     2782       -4     
- Misses       1115     1119       +4     
  Partials        4        4              

see 2 files with indirect coverage changes

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@agunapal agunapal changed the title (WIP) Changes for PyTorch 2.1.0 and Python 3.11 Changes for PyTorch 2.1.0 and Python 3.11 Sep 28, 2023
@@ -37,11 +37,11 @@ Use `build_image.sh` script to build the docker images. The script builds the `p
|-bi, --baseimage specify base docker image. Example: nvidia/cuda:11.8.0-cudnn8-runtime-ubuntu20.04|
|-bt, --buildtype|Which type of docker image to build. Can be one of : production, dev, ci, codebuild|
|-t, --tag|Tag name for image. If not specified, script uses torchserve default tag names.|
|-cv, --cudaversion| Specify to cuda version to use. Supported values `cu92`, `cu101`, `cu102`, `cu111`, `cu113`, `cu116`, `cu117`, `cu118`. Default `cu117`|
|-cv, --cudaversion| Specify to cuda version to use. Supported values `cu92`, `cu101`, `cu102`, `cu111`, `cu113`, `cu116`, `cu117`, `cu118`. `cu121`, Default `cu121`|
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could you please confirm if cu121 is PT2.1 default cuda?

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confirmed

@@ -130,7 +130,7 @@ def conda_build(

os.environ["PYTHON"] = "python"

python_versions = ["3.8", "3.9", "3.10"]
python_versions = ["3.8", "3.9", "3.10", "3.11"]
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are you sure you wanna keep 3.8 around?

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We should support it as long as PyTorch does. But I think we should update our default version in workflows to 3.9

@@ -14,10 +14,10 @@
python ./ts_scripts/install_dependencies.py
```

- For GPU with Cuda 10.2. Options are `cu92`, `cu101`, `cu102`, `cu111`, `cu113`, `cu116`, `cu117`, `cu118`
- For GPU with Cuda 12.1. Options are `cu92`, `cu101`, `cu102`, `cu111`, `cu113`, `cu116`, `cu117`, `cu118`, `cu121`
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this list is long no? :P

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Actually, we should truncate this to the latest version. Good point. Anyone looking for 0.6.0 can look at the readme page corresponding to 0.6.0 tag

@lxning lxning added this pull request to the merge queue Sep 29, 2023
Merged via the queue into master with commit 7123319 Sep 29, 2023
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@agunapal agunapal deleted the feature/update_pt2.1 branch October 3, 2023 21:39
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3 participants