File size: 4,797 Bytes
476455e | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 | # Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved.
#
# 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 MagicMock, Mock
import sagemaker
MODEL_NAME = "mymodelname"
ENDPOINT_CONFIG_NAME = "myendpointconfigname"
ENDPOINT_NAME = "myendpointname"
ROLE = "myimrole"
EXPANDED_ROLE = "arn:aws:iam::111111111111:role/ExpandedRole"
IMAGE = "myimage"
FULL_CONTAINER_DEF = {"Environment": {}, "Image": IMAGE, "ModelDataUrl": "s3://mybucket/mymodel"}
VPC_CONFIG = {"Subnets": ["subnet-foo"], "SecurityGroups": ["sg-foo"]}
INITIAL_INSTANCE_COUNT = 1
INSTANCE_TYPE = "ml.c4.xlarge"
ACCELERATOR_TYPE = "ml.eia.medium"
REGION = "us-west-2"
@pytest.fixture()
def sagemaker_session():
boto_mock = MagicMock(name="boto_session", region_name=REGION)
ims = sagemaker.Session(boto_session=boto_mock)
ims.expand_role = Mock(return_value=EXPANDED_ROLE)
return ims
def test_create_model(sagemaker_session):
returned_name = sagemaker_session.create_model(
name=MODEL_NAME, role=ROLE, container_defs=FULL_CONTAINER_DEF, vpc_config=VPC_CONFIG
)
assert returned_name == MODEL_NAME
sagemaker_session.sagemaker_client.create_model.assert_called_once_with(
ModelName=MODEL_NAME,
PrimaryContainer=FULL_CONTAINER_DEF,
ExecutionRoleArn=EXPANDED_ROLE,
VpcConfig=VPC_CONFIG,
)
def test_create_model_expand_primary_container(sagemaker_session):
sagemaker_session.create_model(name=MODEL_NAME, role=ROLE, container_defs=IMAGE)
_1, _2, create_model_kwargs = sagemaker_session.sagemaker_client.create_model.mock_calls[0]
assert create_model_kwargs["PrimaryContainer"] == {"Environment": {}, "Image": IMAGE}
def test_create_endpoint_config(sagemaker_session):
returned_name = sagemaker_session.create_endpoint_config(
name=ENDPOINT_CONFIG_NAME,
model_name=MODEL_NAME,
initial_instance_count=INITIAL_INSTANCE_COUNT,
instance_type=INSTANCE_TYPE,
)
assert returned_name == ENDPOINT_CONFIG_NAME
expected_pvs = [
{
"ModelName": MODEL_NAME,
"InitialInstanceCount": INITIAL_INSTANCE_COUNT,
"InstanceType": INSTANCE_TYPE,
"InitialVariantWeight": 1,
"VariantName": "AllTraffic",
}
]
sagemaker_session.sagemaker_client.create_endpoint_config.assert_called_once_with(
EndpointConfigName=ENDPOINT_CONFIG_NAME, ProductionVariants=expected_pvs, Tags=[]
)
def test_create_endpoint_config_with_accelerator(sagemaker_session):
returned_name = sagemaker_session.create_endpoint_config(
name=ENDPOINT_CONFIG_NAME,
model_name=MODEL_NAME,
initial_instance_count=INITIAL_INSTANCE_COUNT,
instance_type=INSTANCE_TYPE,
accelerator_type=ACCELERATOR_TYPE,
)
assert returned_name == ENDPOINT_CONFIG_NAME
expected_pvs = [
{
"ModelName": MODEL_NAME,
"InitialInstanceCount": INITIAL_INSTANCE_COUNT,
"InstanceType": INSTANCE_TYPE,
"InitialVariantWeight": 1,
"VariantName": "AllTraffic",
"AcceleratorType": ACCELERATOR_TYPE,
}
]
sagemaker_session.sagemaker_client.create_endpoint_config.assert_called_once_with(
EndpointConfigName=ENDPOINT_CONFIG_NAME, ProductionVariants=expected_pvs, Tags=[]
)
def test_create_endpoint_no_wait(sagemaker_session):
returned_name = sagemaker_session.create_endpoint(
endpoint_name=ENDPOINT_NAME, config_name=ENDPOINT_CONFIG_NAME, wait=False
)
assert returned_name == ENDPOINT_NAME
sagemaker_session.sagemaker_client.create_endpoint.assert_called_once_with(
EndpointName=ENDPOINT_NAME, EndpointConfigName=ENDPOINT_CONFIG_NAME, Tags=[]
)
def test_create_endpoint_wait(sagemaker_session):
sagemaker_session.wait_for_endpoint = Mock()
returned_name = sagemaker_session.create_endpoint(
endpoint_name=ENDPOINT_NAME, config_name=ENDPOINT_CONFIG_NAME
)
assert returned_name == ENDPOINT_NAME
sagemaker_session.sagemaker_client.create_endpoint.assert_called_once_with(
EndpointName=ENDPOINT_NAME, EndpointConfigName=ENDPOINT_CONFIG_NAME, Tags=[]
)
sagemaker_session.wait_for_endpoint.assert_called_once_with(ENDPOINT_NAME)
|