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#
# Licensed under the Apache License, Version 2.0 (the "License"). You
# may not use this file except in compliance with the License. A copy of
# the License is located at
#
# http://aws.amazon.com/apache2.0/
#
# or in the "license" file accompanying this file. This file is
# distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF
# ANY KIND, either express or implied. See the License for the specific
# language governing permissions and limitations under the License.
from __future__ import absolute_import
import pytest
from mock import Mock, patch, MagicMock
from sagemaker.huggingface.processing import HuggingFaceProcessor
from sagemaker.fw_utils import UploadedCode
from .huggingface_utils import get_full_gpu_image_uri, GPU_INSTANCE_TYPE, REGION
BUCKET_NAME = "mybucket"
ROLE = "arn:aws:iam::012345678901:role/SageMakerRole"
ECR_HOSTNAME = "ecr.us-west-2.amazonaws.com"
CUSTOM_IMAGE_URI = "012345678901.dkr.ecr.us-west-2.amazonaws.com/my-custom-image-uri"
MOCKED_S3_URI = "s3://mocked_s3_uri_from_upload_data"
@pytest.fixture(autouse=True)
def mock_create_tar_file():
with patch("sagemaker.utils.create_tar_file", MagicMock()) as create_tar_file:
yield create_tar_file
@pytest.fixture()
def sagemaker_session():
boto_mock = Mock(name="boto_session", region_name=REGION)
session_mock = MagicMock(
name="sagemaker_session",
boto_session=boto_mock,
boto_region_name=REGION,
config=None,
local_mode=False,
)
session_mock.default_bucket = Mock(name="default_bucket", return_value=BUCKET_NAME)
session_mock.upload_data = Mock(name="upload_data", return_value=MOCKED_S3_URI)
session_mock.download_data = Mock(name="download_data")
session_mock.expand_role.return_value = ROLE
return session_mock
@pytest.fixture()
def uploaded_code(
s3_prefix="s3://mocked_s3_uri_from_upload_data/my_job_name/source/sourcedir.tar.gz",
script_name="processing_code.py",
):
return UploadedCode(s3_prefix=s3_prefix, script_name=script_name)
@patch("sagemaker.utils._botocore_resolver")
@patch("os.path.exists", return_value=True)
@patch("os.path.isfile", return_value=True)
def test_huggingface_processor_with_required_parameters(
exists_mock,
isfile_mock,
botocore_resolver,
sagemaker_session,
huggingface_training_version,
huggingface_pytorch_training_version,
huggingface_pytorch_training_py_version,
):
botocore_resolver.return_value.construct_endpoint.return_value = {"hostname": ECR_HOSTNAME}
processor = HuggingFaceProcessor(
role=ROLE,
instance_type=GPU_INSTANCE_TYPE,
transformers_version=huggingface_training_version,
pytorch_version=huggingface_pytorch_training_version,
py_version=huggingface_pytorch_training_py_version,
instance_count=1,
sagemaker_session=sagemaker_session,
)
processor.run(code="/local/path/to/processing_code.py")
expected_args = _get_expected_args_modular_code(processor._current_job_name)
expected_args["app_specification"]["ImageUri"] = get_full_gpu_image_uri(
huggingface_training_version,
f"pytorch{huggingface_pytorch_training_version}",
)
sagemaker_session.process.assert_called_with(**expected_args)
def _get_expected_args_modular_code(job_name, code_s3_uri=f"s3://{BUCKET_NAME}"):
return {
"inputs": [
{
"InputName": "code",
"AppManaged": False,
"S3Input": {
"S3Uri": f"{code_s3_uri}/{job_name}/source/sourcedir.tar.gz",
"LocalPath": "/opt/ml/processing/input/code/",
"S3DataType": "S3Prefix",
"S3InputMode": "File",
"S3DataDistributionType": "FullyReplicated",
"S3CompressionType": "None",
},
},
{
"InputName": "entrypoint",
"AppManaged": False,
"S3Input": {
"S3Uri": f"{code_s3_uri}/{job_name}/source/runproc.sh",
"LocalPath": "/opt/ml/processing/input/entrypoint",
"S3DataType": "S3Prefix",
"S3InputMode": "File",
"S3DataDistributionType": "FullyReplicated",
"S3CompressionType": "None",
},
},
],
"output_config": {"Outputs": []},
"experiment_config": None,
"job_name": job_name,
"resources": {
"ClusterConfig": {
"InstanceType": GPU_INSTANCE_TYPE,
"InstanceCount": 1,
"VolumeSizeInGB": 30,
}
},
"stopping_condition": None,
"app_specification": {
"ImageUri": CUSTOM_IMAGE_URI,
"ContainerEntrypoint": [
"/bin/bash",
"/opt/ml/processing/input/entrypoint/runproc.sh",
],
},
"environment": None,
"network_config": None,
"role_arn": ROLE,
"tags": None,
"experiment_config": None,
}
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