Skip to content

test(image_uris): derive pytorch-amzn2023 versions from config #6385

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
lucasjia-aws merged 1 commit into from
Oct 6, 2026
Merged

test(image_uris): derive pytorch-amzn2023 versions from config #6385

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
12 changes: 8 additions & 4 deletions sagemaker-core/tests/unit/image_uris/test_pytorch_amzn2023.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -25,16 +25,20 @@
# encodes CUDA directly (e.g. 2.13-cu133-amzn2023-sagemaker) with no "gpu" token,
# so these versions set "processor_in_tag": false and bake the accelerator into
# container_version.
AMZN2023_VERSIONS = ["2.11", "2.12", "2.13"]
# Versions that must stay resolvable. Newer versions added by the automated
# image_uri_configs updates are picked up from the config automatically, so this
# set only needs to grow when a version must be guaranteed to remain available.
REQUIRED_AMZN2023_VERSIONS = {"2.11", "2.12", "2.13", "2.14"}


@pytest.mark.parametrize("load_config", ["pytorch-amzn2023.json"], indirect=True)
def test_pytorch_amzn2023_training_uris(load_config):
"""pytorch-amzn2023 resolves both cpu and gpu; the gpu tag carries cuNNN, not "gpu"."""
training = load_config["training"]
assert sorted(training["versions"]) == sorted(AMZN2023_VERSIONS)
for version in AMZN2023_VERSIONS:
version_config = training["versions"][version]
versions = training["versions"]
assert REQUIRED_AMZN2023_VERSIONS <= set(versions)
assert training["version_aliases"]["latest"] in versions
for version, version_config in versions.items():
assert version_config["repository"] == "pytorch"
assert version_config["processor_in_tag"] is False
container_version = version_config["container_version"]
Expand Down
Loading