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Remove CUDA 11.7 builds; add 11.8 #7616

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Merged
merged 7 commits into from
May 24, 2023
Merged

Remove CUDA 11.7 builds; add 11.8 #7616

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96d0a6e
remove CUDA 11.7 builds; add 11.8
ptrblck May 23, 2023
c59df3f
Revert "remove CUDA 11.7 builds; add 11.8"
pmeier May 23, 2023
3b54770
CUDA 11.7 -> 11.8 in GHA workflows
pmeier May 23, 2023
ed3a13d
Merge branch 'main' into remove_cu117
pmeier May 23, 2023
90a1494
Disable failing test
atalman May 23, 2023
8c75b7d
Merge branch 'main' into remove_cu117
atalman May 23, 2023
d7e420d
Merge branch 'main' into remove_cu117
atalman May 24, 2023
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2 changes: 1 addition & 1 deletion .github/workflows/prototype-tests-linux-gpu.yml
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Expand Up @@ -18,7 +18,7 @@ jobs:
- python-version: "3.8"
runner: linux.g5.4xlarge.nvidia.gpu
gpu-arch-type: cuda
gpu-arch-version: "11.7"
gpu-arch-version: "11.8"
fail-fast: false
uses: pytorch/test-infra/.github/workflows/linux_job.yml@main
with:
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4 changes: 2 additions & 2 deletions .github/workflows/tests.yml
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Expand Up @@ -24,7 +24,7 @@ jobs:
- python-version: 3.8
runner: linux.g5.4xlarge.nvidia.gpu
gpu-arch-type: cuda
gpu-arch-version: "11.7"
gpu-arch-version: "11.8"
fail-fast: false
uses: pytorch/test-infra/.github/workflows/linux_job.yml@main
with:
Expand Down Expand Up @@ -85,7 +85,7 @@ jobs:
- python-version: "3.8"
runner: windows.g5.4xlarge.nvidia.gpu
gpu-arch-type: cuda
gpu-arch-version: "11.7"
gpu-arch-version: "11.8"
fail-fast: false
uses: pytorch/test-infra/.github/workflows/windows_job.yml@main
with:
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9 changes: 5 additions & 4 deletions test/test_models.py
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Expand Up @@ -682,10 +682,11 @@ def test_classification_model(model_fn, dev):
model_name = model_fn.__name__
if SKIP_BIG_MODEL and is_skippable(model_name, dev):
pytest.skip("Skipped to reduce memory usage. Set env var SKIP_BIG_MODEL=0 to enable test for this model")
if model_name == "vit_h_14" and dev == "cuda":
# TODO: investigate why this fail on CI. It doesn't fail on AWS cluster with CUDA 11.6
# (can't test with later versions ATM)
pytest.xfail("https://github.com/pytorch/vision/issues/7143")
if model_name == "resnet101" and dev == "cuda":
# TODO: Investigate the Failure with CUDA 11.8: https://github.com/pytorch/vision/issues/7618
# TODO: Investigate/followup on previous failure: https://github.com/pytorch/vision/issues/7143
# its not happening on CI with CUDA 11.8 anymore. Follow up is needed if its still not resolved.
pytest.xfail("https://github.com/pytorch/vision/issues/7618")
kwargs = {**defaults, **_model_params.get(model_name, {})}
num_classes = kwargs.get("num_classes")
input_shape = kwargs.pop("input_shape")
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