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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
from sagemaker.model import Model
MODEL_DATA = "s3://bucket/model.tar.gz"
MODEL_IMAGE = "mi"
IMAGE_URI = "inference-container-uri"
REGION = "us-west-2"
NEO_REGION_ACCOUNT = "301217895009"
DESCRIBE_COMPILATION_JOB_RESPONSE = {
"CompilationJobStatus": "Completed",
"ModelArtifacts": {"S3ModelArtifacts": "s3://output-path/model.tar.gz"},
"InferenceImage": IMAGE_URI,
}
@pytest.fixture
def sagemaker_session():
return Mock(boto_region_name=REGION)
def _create_model(sagemaker_session=None):
return Model(MODEL_IMAGE, MODEL_DATA, role="role", sagemaker_session=sagemaker_session)
def test_compile_model_for_inferentia(sagemaker_session):
sagemaker_session.wait_for_compilation_job = Mock(
return_value=DESCRIBE_COMPILATION_JOB_RESPONSE
)
model = _create_model(sagemaker_session)
model.compile(
target_instance_family="ml_inf",
input_shape={"data": [1, 3, 1024, 1024]},
output_path="s3://output",
role="role",
framework="tensorflow",
framework_version="1.15.0",
job_name="compile-model",
)
assert DESCRIBE_COMPILATION_JOB_RESPONSE["InferenceImage"] == model.image_uri
assert model._is_compiled_model is True
def test_compile_model_for_edge_device(sagemaker_session):
sagemaker_session.wait_for_compilation_job = Mock(
return_value=DESCRIBE_COMPILATION_JOB_RESPONSE
)
model = _create_model(sagemaker_session)
model.compile(
target_instance_family="deeplens",
input_shape={"data": [1, 3, 1024, 1024]},
output_path="s3://output",
role="role",
framework="tensorflow",
job_name="compile-model",
)
assert model._is_compiled_model is False
@pytest.mark.xfail(reason="tflite images are not available yet.")
def test_compile_model_for_edge_device_tflite(sagemaker_session):
sagemaker_session.wait_for_compilation_job = Mock(
return_value=DESCRIBE_COMPILATION_JOB_RESPONSE
)
model = _create_model(sagemaker_session)
model.compile(
target_instance_family="deeplens",
input_shape={"data": [1, 3, 1024, 1024]},
output_path="s3://output",
role="role",
framework="tflite",
job_name="tflite-compile-model",
)
assert model._is_compiled_model is False
def test_compile_model_linux_arm64_nvidia(sagemaker_session):
sagemaker_session.wait_for_compilation_job = Mock(
return_value=DESCRIBE_COMPILATION_JOB_RESPONSE
)
model = _create_model(sagemaker_session)
model.compile(
target_instance_family=None,
input_shape={"data": [1, 3, 1024, 1024]},
output_path="s3://output",
role="role",
framework="tensorflow",
job_name="compile-model",
target_platform_os="LINUX",
target_platform_arch="ARM64",
target_platform_accelerator="NVIDIA",
compiler_options={"gpu-code": "sm_72", "trt-ver": "6.0.1", "cuda-ver": "10.1"},
)
assert model._is_compiled_model is False
def test_compile_model_android_armv7(sagemaker_session):
sagemaker_session.wait_for_compilation_job = Mock(
return_value=DESCRIBE_COMPILATION_JOB_RESPONSE
)
model = _create_model(sagemaker_session)
model.compile(
target_instance_family=None,
input_shape={"data": [1, 3, 1024, 1024]},
output_path="s3://output",
role="role",
framework="tensorflow",
job_name="compile-model",
target_platform_os="ANDROID",
target_platform_arch="ARM_EABI",
compiler_options={"ANDROID_PLATFORM": 25, "mattr": ["+neon"]},
)
assert model._is_compiled_model is False
def test_compile_model_for_cloud(sagemaker_session):
sagemaker_session.wait_for_compilation_job = Mock(
return_value=DESCRIBE_COMPILATION_JOB_RESPONSE
)
model = _create_model(sagemaker_session)
model.compile(
target_instance_family="ml_c4",
input_shape={"data": [1, 3, 1024, 1024]},
output_path="s3://output",
role="role",
framework="tensorflow",
job_name="compile-model",
)
assert model._is_compiled_model is True
@pytest.mark.xfail(reason="tflite images are not available yet.")
def test_compile_model_for_cloud_tflite(sagemaker_session):
sagemaker_session.wait_for_compilation_job = Mock(
return_value=DESCRIBE_COMPILATION_JOB_RESPONSE
)
model = _create_model(sagemaker_session)
model.compile(
target_instance_family="ml_c4",
input_shape={"data": [1, 3, 1024, 1024]},
output_path="s3://output",
role="role",
framework="tflite",
job_name="tflite-compile-model",
)
assert model._is_compiled_model is True
@patch("sagemaker.session.Session")
def test_compile_creates_session(session):
session.return_value.boto_region_name = REGION
model = _create_model()
model.compile(
target_instance_family="ml_c4",
input_shape={"data": [1, 3, 1024, 1024]},
output_path="s3://output",
role="role",
framework="tensorflow",
job_name="compile-model",
)
assert session.return_value == model.sagemaker_session
def test_compile_validates_framework():
model = _create_model()
with pytest.raises(ValueError) as e:
model.compile(
target_instance_family="ml_c4",
input_shape={"data": [1, 3, 1024, 1024]},
output_path="s3://output",
role="role",
)
assert "You must specify framework" in str(e)
with pytest.raises(ValueError) as e:
model.compile(
target_instance_family="ml_c4",
input_shape={"data": [1, 3, 1024, 1024]},
output_path="s3://output",
role="role",
framework="not-a-real-framework",
)
assert "You must provide valid framework" in str(e)
def test_compile_validates_job_name():
model = _create_model()
with pytest.raises(ValueError) as e:
model.compile(
target_instance_family="ml_c4",
input_shape={"data": [1, 3, 1024, 1024]},
output_path="s3://output",
role="role",
framework="tensorflow",
)
assert "You must provide a compilation job name" in str(e)
def test_compile_validates_model_data():
model = Model(MODEL_IMAGE)
with pytest.raises(ValueError) as e:
model.compile(
target_instance_family="ml_c4",
input_shape={"data": [1, 3, 1024, 1024]},
output_path="s3://output",
role="role",
framework="tensorflow",
job_name="compile-model",
)
assert "You must provide an S3 path to the compressed model artifacts." in str(e)
def test_deploy_honors_provided_model_name(sagemaker_session):
model = _create_model(sagemaker_session)
model._is_compiled_model = True
model_name = "foo"
model.name = model_name
model.deploy(1, "ml.c4.xlarge")
assert model_name == model.name
def test_deploy_add_compiled_model_suffix_to_generated_resource_names(sagemaker_session):
model = _create_model(sagemaker_session)
model._is_compiled_model = True
model.deploy(1, "ml.c4.xlarge")
assert model.name.startswith("mi-ml-c4")
assert model.endpoint_name.startswith("mi-ml-c4")
@patch("sagemaker.model.Model._create_sagemaker_model", Mock())
def test_deploy_add_compiled_model_suffix_to_endpoint_name_from_model_name(sagemaker_session):
model = _create_model(sagemaker_session)
model._is_compiled_model = True
model_name = "foo"
model.name = model_name
model.deploy(1, "ml.c4.xlarge")
assert model.endpoint_name.startswith("{}-ml-c4".format(model_name))
def test_compile_with_framework_version_15(sagemaker_session):
sagemaker_session.wait_for_compilation_job = Mock(
return_value=DESCRIBE_COMPILATION_JOB_RESPONSE
)
model = _create_model(sagemaker_session)
model.compile(
target_instance_family="ml_c4",
input_shape={"data": [1, 3, 1024, 1024]},
output_path="s3://output",
role="role",
framework="pytorch",
framework_version="1.5",
job_name="compile-model",
)
assert IMAGE_URI == model.image_uri
def test_compile_with_framework_version_16(sagemaker_session):
sagemaker_session.wait_for_compilation_job = Mock(
return_value=DESCRIBE_COMPILATION_JOB_RESPONSE
)
model = _create_model(sagemaker_session)
model.compile(
target_instance_family="ml_c4",
input_shape={"data": [1, 3, 1024, 1024]},
output_path="s3://output",
role="role",
framework="pytorch",
framework_version="1.6",
job_name="compile-model",
)
assert IMAGE_URI == model.image_uri
@patch("sagemaker.session.Session")
def test_compile_with_pytorch_neo_in_ml_inf(session):
session.return_value.boto_region_name = REGION
model = _create_model()
model.compile(
target_instance_family="ml_inf",
input_shape={"data": [1, 3, 1024, 1024]},
output_path="s3://output",
role="role",
framework="pytorch",
framework_version="1.6",
job_name="compile-model",
)
assert (
"{}.dkr.ecr.{}.amazonaws.com/sagemaker-inference-pytorch:1.6-cpu-py3".format(
NEO_REGION_ACCOUNT, REGION
)
!= model.image_uri
)
@patch("sagemaker.session.Session")
def test_compile_with_tensorflow_neo_in_ml_inf(session):
session.return_value.boto_region_name = REGION
model = _create_model()
model.compile(
target_instance_family="ml_inf",
input_shape={"data": [1, 3, 1024, 1024]},
output_path="s3://output",
role="role",
framework="tensorflow",
framework_version="1.15",
job_name="compile-model",
)
assert (
"{}.dkr.ecr.{}.amazonaws.com/sagemaker-inference-tensorflow:1.15-cpu-py3".format(
NEO_REGION_ACCOUNT, REGION
)
!= model.image_uri
)
def test_compile_validates_framework_version(sagemaker_session):
sagemaker_session.wait_for_compilation_job = Mock(
return_value={
"CompilationJobStatus": "Completed",
"ModelArtifacts": {"S3ModelArtifacts": "s3://output-path/model.tar.gz"},
"InferenceImage": None,
}
)
model = _create_model(sagemaker_session)
model.compile(
target_instance_family="ml_c4",
input_shape={"data": [1, 3, 1024, 1024]},
output_path="s3://output",
role="role",
framework="pytorch",
framework_version="1.6.1",
job_name="compile-model",
)
assert model.image_uri is None
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