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4 changes: 2 additions & 2 deletions tests/data/pytorch_mnist/mnist.py
Original file line number Diff line number Diff line change
Expand Up @@ -47,7 +47,7 @@ def _get_train_data_loader(training_dir, is_distributed, batch_size, **kwargs):
transform=transforms.Compose(
[transforms.ToTensor(), transforms.Normalize((0.1307,), (0.3081,))]
),
download=True,
download=False, # True sets a dependency on an external site for our canaries.
)
train_sampler = (
torch.utils.data.distributed.DistributedSampler(dataset) if is_distributed else None
Expand All @@ -71,7 +71,7 @@ def _get_test_data_loader(training_dir, **kwargs):
transform=transforms.Compose(
[transforms.ToTensor(), transforms.Normalize((0.1307,), (0.3081,))]
),
download=True,
download=False, # True sets a dependency on an external site for our canaries.
),
batch_size=1000,
shuffle=True,
Expand Down
4 changes: 3 additions & 1 deletion tests/integ/test_git.py
Original file line number Diff line number Diff line change
Expand Up @@ -28,6 +28,8 @@
from sagemaker.sklearn.model import SKLearnModel
from tests.integ import DATA_DIR, PYTHON_VERSION

MNIST_FOLDER_NAME = "MNIST"

GIT_REPO = "https://github.com/aws/sagemaker-python-sdk.git"
BRANCH = "test-branch-git-config"
COMMIT = "ae15c9d7d5b97ea95ea451e4662ee43da3401d73"
Expand Down Expand Up @@ -69,7 +71,7 @@ def test_git_support_with_pytorch(sagemaker_local_session):
git_config=git_config,
)

pytorch.fit({"training": "file://" + os.path.join(data_path, "training")})
pytorch.fit({"training": "file://" + os.path.join(data_path, "training", MNIST_FOLDER_NAME)})

with lock.lock(LOCK_PATH):
try:
Expand Down