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Merged
merged 11 commits into from
Nov 1, 2024
Merged

ci: Adding tests for numpy>=2 #7756

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70e08bc
Modify numpy, torch, torchvision versions for examples subtest
KrishnanPrash Oct 30, 2024
fb3e0f8
spacing
KrishnanPrash Oct 30, 2024
aa3059a
spacing
KrishnanPrash Oct 30, 2024
aad7554
removing unecessary numpy uninstall + reinstall lower version
KrishnanPrash Oct 31, 2024
ba5c84d
installing torch w cuda dependencies for non-windows and non-jetson envs
KrishnanPrash Oct 31, 2024
598fade
Merge branch 'main' into kprashanth-numpy2-test
KrishnanPrash Oct 31, 2024
ba904a2
Update qa/L0_backend_python/examples/test.sh
KrishnanPrash Nov 1, 2024
ec3bccd
formatting
KrishnanPrash Nov 1, 2024
00fe74a
Installing lower version for python 3.8
KrishnanPrash Nov 1, 2024
9fc4c55
comments
KrishnanPrash Nov 1, 2024
b58ff56
Merge branch 'main' into kprashanth-numpy2-test
KrishnanPrash Nov 1, 2024
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9 changes: 7 additions & 2 deletions qa/L0_backend_python/examples/test.sh
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Expand Up @@ -38,10 +38,12 @@ rm -fr *.log python_backend/

# Install torch
pip3 uninstall -y torch
pip3 uninstall -y numpy
pip3 install "numpy>=2"
if [ "$TEST_JETSON" == "0" ] && [[ ${TEST_WINDOWS} == 0 ]]; then
pip3 install torch==2.0.0+cu117 -f https://download.pytorch.org/whl/torch_stable.html torchvision==0.15.0+cu117
pip3 install torch==2.5.0 -f https://download.pytorch.org/whl/torch_stable.html torchvision==0.20.0
else
pip3 install torch==2.0.0 -f https://download.pytorch.org/whl/torch_stable.html torchvision==0.15.0
pip3 install torch==2.5.0 -f https://download.pytorch.org/whl/torch_stable.html torchvision==0.20.0
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Note that the if condition installed a +cu version, and the else did not. In your change you have both if/else installing the same thing. Please either match the install pattern with the correct +cuXXX variant, or double check whether this if/else is required if not. CC @fpetrini15 who might know a bit more about the if/else split here.

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@rmccorm4 I think this is a code segment we discussed a few months back. It seems like since Jacky has fixed my original error here; 23a6c21. I think for non-Jetson Linux tests, we want to continue installing the cuda-enabled version. That said, these tests were passing fine even with my logical error from months ago, so it's unclear to me what we achieve by installing the cuda-enabled version.

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If this doesn't break windows/jetson, I'm happy to keep it. If it might, we could also try making the change only on the linux non-jetson block. ex:

if not jetson/windows:
  pip install numpy 2
  pip install torch 2.5
else: # if windows/jetson
  pip install numpy 1
  pip install torch 2.0
fi

Let me know if you have a preference for minimal blast radius @fpetrini15

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I think we should align with the original intention of the script and install the cuda-enabled version.

CC @Tabrizian if you have any insight into why we preferred it originally?

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I believe PyTorch with CUDA was not supported on Jetson. We also don't support GPU tensors on Jetson with Python backend so it could be related to that.

fi

# Install `validators` for Model Instance Kind example
Expand Down Expand Up @@ -440,4 +442,7 @@ else
echo -e "\n***\n*** Example verification test FAILED.\n***"
fi

pip3 uninstall -y numpy
pip3 install "numpy<2"
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@KrishnanPrash KrishnanPrash Oct 31, 2024 •
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In L0_backend_python, the way examples/test.sh is called is along the lines of:

    setup_virtualenv

    set +e
    (cd ${TEST} && bash -ex test.sh)

    if [ $? -ne 0 ]; then
        echo "Subtest ${TEST} FAILED"
        RET=1
    fi
    set -e

    deactivate_virtualenv

So re-installing a lower version of numpy is unnecessary here because the virtualenv created for the examples subtest is not re-used for future subtests.


exit $RET
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