pull updates

CHANGELOG.md

@@ -1,5 +1,18 @@
 # Changelog
 
+## v1.31.0 (2019-06-27)
+
+### Features
+
+ * use deep learning images
+
+### Bug fixes and other changes
+
+ * Update buildspec.yml
+ * allow only one integration test run per time
+ * remove unnecessary P3 tests from TFS integration tests
+ * add pytest.mark.local_mode annotation to broken tests
+
 ## v1.30.0 (2019-06-25)
 
 ### Features

VERSION

@@ -1 +1 @@
-1.30.1.dev0
+1.31.1.dev0

buildspec.yml

@@ -9,7 +9,6 @@ phases:
     commands:
       # run linters
       - tox -e flake8,pylint
-
       # run package and docbuild checks
       - tox -e twine
       - tox -e sphinx
@@ -34,7 +33,14 @@ phases:
       # run integration tests
       - |
         if has-matching-changes "tests/" "src/*.py" "setup.py" "setup.cfg" "buildspec.yml"; then
-          IGNORE_COVERAGE=- tox -e py36,py27 -- tests/integ -n 24 --boxed --reruns 2
+          python3 -u ci-scripts/queue_build.py
+          IGNORE_COVERAGE=- tox -e py36,py27 -- tests/integ -n 24 --reruns 3
         else
           echo "skipping integration tests"
         fi
+  post_build:
+    finally:
+      - FILENAME=$(ls ci-lock/)
+      - ACCOUNT=$(aws sts get-caller-identity --output text | awk '{print $1}')
+      - S3_BUCKET_DIR=s3://sagemaker-us-west-2-${ACCOUNT}/ci-lock/
+      - aws s3 rm ${S3_BUCKET_DIR}${FILENAME}

ci-scripts/queue_build.py

@@ -0,0 +1,117 @@
+# Copyright 2019 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 os
+import time
+import boto3
+
+account = boto3.client("sts").get_caller_identity()["Account"]
+bucket_name = "sagemaker-us-west-2-%s" % account
+
+
+def queue_build():
+    build_id = os.environ.get("CODEBUILD_BUILD_ID", "CODEBUILD-BUILD-ID")
+    source_version = os.environ.get("CODEBUILD_SOURCE_VERSION", "CODEBUILD-SOURCE-VERSION").replace(
+        "/", "-"
+    )
+    ticket_number = int(1000 * time.time())
+    filename = "%s_%s_%s" % (ticket_number, build_id, source_version)
+
+    print("Created queue ticket %s" % ticket_number)
+
+    _write_ticket(filename)
+    files = _list_tickets()
+    _cleanup_tickets_older_than_8_hours(files)
+    _wait_for_other_builds(files, ticket_number)
+
+
+def _build_info_from_file(file):
+    filename = file.key.split("/")[1]
+    ticket_number, build_id, source_version = filename.split("_")
+    return int(ticket_number), build_id, source_version
+
+
+def _wait_for_other_builds(files, ticket_number):
+    newfiles = list(filter(lambda file: not _file_older_than(file), files))
+    sorted_files = list(sorted(newfiles, key=lambda y: y.key))
+
+    print("build queue status:")
+    print()
+
+    for order, file in enumerate(sorted_files):
+        file_ticket_number, build_id, source_version = _build_info_from_file(file)
+        print(
+            "%s -> %s %s, ticket number: %s" % (order, build_id, source_version, file_ticket_number)
+        )
+
+    for file in sorted_files:
+        file_ticket_number, build_id, source_version = _build_info_from_file(file)
+
+        if file_ticket_number == ticket_number:
+
+            break
+        else:
+            while True:
+                client = boto3.client("codebuild")
+                response = client.batch_get_builds(ids=[build_id])
+                build_status = response["builds"][0]["buildStatus"]
+
+                if build_status == "IN_PROGRESS":
+                    print(
+                        "waiting on build %s %s %s" % (build_id, source_version, file_ticket_number)
+                    )
+                    time.sleep(30)
+                else:
+                    print("build %s finished, deleting lock" % build_id)
+                    file.delete()
+                    break
+
+
+def _cleanup_tickets_older_than_8_hours(files):
+    oldfiles = list(filter(_file_older_than, files))
+    for file in oldfiles:
+        print("object %s older than 8 hours. Deleting" % file.key)
+        file.delete()
+    return files
+
+
+def _list_tickets():
+    s3 = boto3.resource("s3")
+    bucket = s3.Bucket(bucket_name)
+    objects = [file for file in bucket.objects.filter(Prefix="ci-lock/")]
+    files = list(filter(lambda x: x != "ci-lock/", objects))
+    return files
+
+
+def _file_older_than(file):
+    timelimit = 1000 * 60 * 60 * 8
+
+    file_ticket_number, build_id, source_version = _build_info_from_file(file)
+
+    return int(time.time()) - file_ticket_number > timelimit
+
+
+def _write_ticket(ticket_number):
+
+    if not os.path.exists("ci-lock"):
+        os.mkdir("ci-lock")
+
+    filename = "ci-lock/" + ticket_number
+    with open(filename, "w") as file:
+        file.write(ticket_number)
+    boto3.Session().resource("s3").Object(bucket_name, filename).upload_file(filename)
+
+
+if __name__ == "__main__":
+    queue_build()

src/sagemaker/fw_utils.py

@@ -54,6 +54,56 @@
 VALID_EIA_FRAMEWORKS = ["tensorflow", "tensorflow-serving", "mxnet", "mxnet-serving"]
 VALID_ACCOUNTS_BY_REGION = {"us-gov-west-1": "246785580436", "us-iso-east-1": "744548109606"}
 
+MERGED_FRAMEWORKS_REPO_MAP = {
+    "tensorflow-scriptmode": "tensorflow-training",
+    "mxnet": "mxnet-training",
+    "tensorflow-serving": "tensorflow-inference",
+    "mxnet-serving": "mxnet-inference",
+}
+
+MERGED_FRAMEWORKS_LOWEST_VERSIONS = {
+    "tensorflow-scriptmode": [1, 13, 1],
+    "mxnet": [1, 4, 1],
+    "tensorflow-serving": [1, 13, 0],
+    "mxnet-serving": [1, 4, 1],
+}
+
+
+def is_version_equal_or_higher(lowest_version, framework_version):
+    """Determine whether the ``framework_version`` is equal to or higher than ``lowest_version``
+
+    Args:
+        lowest_version (List[int]): lowest version represented in an integer list
+        framework_version (str): framework version string
+
+    Returns:
+        bool: Whether or not framework_version is equal to or higher than lowest_version
+    """
+    version_list = [int(s) for s in framework_version.split(".")]
+    return version_list >= lowest_version[0 : len(version_list)]
+
+
+def _is_merged_versions(framework, framework_version):
+    lowest_version_list = MERGED_FRAMEWORKS_LOWEST_VERSIONS.get(framework)
+    if lowest_version_list:
+        return is_version_equal_or_higher(lowest_version_list, framework_version)
+    else:
+        return False
+
+
+def _using_merged_images(region, framework, py_version, accelerator_type, framework_version):
+    is_gov_region = region in VALID_ACCOUNTS_BY_REGION
+    is_py3 = py_version == "py3" or py_version is None
+    is_merged_versions = _is_merged_versions(framework, framework_version)
+    return (not is_gov_region) and is_merged_versions and is_py3 and accelerator_type is None
+
+
+def _registry_id(region, framework, py_version, account, accelerator_type, framework_version):
+    if _using_merged_images(region, framework, py_version, accelerator_type, framework_version):
+        return "763104351884"
+    else:
+        return VALID_ACCOUNTS_BY_REGION.get(region, account)
+
 
 def create_image_uri(
     region,
@@ -86,8 +136,15 @@ def create_image_uri(
     if py_version and py_version not in VALID_PY_VERSIONS:
         raise ValueError("invalid py_version argument: {}".format(py_version))
 
-    # Handle Account Number for Gov Cloud
-    account = VALID_ACCOUNTS_BY_REGION.get(region, account)
+    # Handle Account Number for Gov Cloud and frameworks with DLC merged images
+    account = _registry_id(
+        region=region,
+        framework=framework,
+        py_version=py_version,
+        account=account,
+        accelerator_type=accelerator_type,
+        framework_version=framework_version,
+    )
 
     # Handle Local Mode
     if instance_type.startswith("local"):
@@ -121,7 +178,14 @@ def create_image_uri(
     ):
         framework += "-eia"
 
-    return "{}/sagemaker-{}:{}".format(get_ecr_image_uri_prefix(account, region), framework, tag)
+    if _using_merged_images(region, framework, py_version, accelerator_type, framework_version):
+        return "{}/{}:{}".format(
+            get_ecr_image_uri_prefix(account, region), MERGED_FRAMEWORKS_REPO_MAP[framework], tag
+        )
+    else:
+        return "{}/sagemaker-{}:{}".format(
+            get_ecr_image_uri_prefix(account, region), framework, tag
+        )
 
 
 def _accelerator_type_valid_for_framework(
@@ -264,7 +328,7 @@ def framework_name_from_image(image_name):
         # extract framework, python version and image tag
         # We must support both the legacy and current image name format.
         name_pattern = re.compile(
-            r"^sagemaker(?:-rl)?-(tensorflow|mxnet|chainer|pytorch|scikit-learn)(?:-)?(scriptmode)?:(.*)-(.*?)-(py2|py3)$"  # noqa: E501
+            r"^(?:sagemaker(?:-rl)?-)?(tensorflow|mxnet|chainer|pytorch|scikit-learn)(?:-)?(scriptmode|training)?:(.*)-(.*?)-(py2|py3)$"  # noqa: E501
         )
         legacy_name_pattern = re.compile(r"^sagemaker-(tensorflow|mxnet)-(py2|py3)-(cpu|gpu):(.*)$")
 

tests/integ/test_git.py

@@ -15,6 +15,7 @@
 import os
 
 import numpy
+import pytest
 import tempfile
 
 from tests.integ import lock as lock
@@ -30,6 +31,7 @@
 LOCK_PATH = os.path.join(tempfile.gettempdir(), "sagemaker_test_git_lock")
 
 
+@pytest.mark.local_mode
 def test_git_support_with_pytorch(sagemaker_local_session):
     script_path = "mnist.py"
     data_path = os.path.join(DATA_DIR, "pytorch_mnist")
@@ -59,6 +61,7 @@ def test_git_support_with_pytorch(sagemaker_local_session):
             predictor.delete_endpoint()
 
 
+@pytest.mark.local_mode
 def test_git_support_with_mxnet(sagemaker_local_session, mxnet_full_version):
     script_path = "mnist.py"
     data_path = os.path.join(DATA_DIR, "mxnet_mnist")

tests/integ/test_tf_script_mode.py

@@ -65,6 +65,7 @@ def test_mnist(sagemaker_session, instance_type):
         sagemaker_session=sagemaker_session,
         script_mode=True,
         framework_version=TensorFlow.LATEST_VERSION,
+        py_version=tests.integ.PYTHON_VERSION,
         metric_definitions=[{"Name": "train:global_steps", "Regex": r"global_step\/sec:\s(.*)"}],
     )
     inputs = estimator.sagemaker_session.upload_data(
@@ -98,6 +99,7 @@ def test_server_side_encryption(sagemaker_session):
             sagemaker_session=sagemaker_session,
             script_mode=True,
             framework_version=TensorFlow.LATEST_VERSION,
+            py_version=tests.integ.PYTHON_VERSION,
             code_location=output_path,
             output_path=output_path,
             model_dir="/opt/ml/model",
@@ -144,6 +146,7 @@ def test_mnist_async(sagemaker_session):
         role=ROLE,
         train_instance_count=1,
         train_instance_type="ml.c5.4xlarge",
+        py_version=tests.integ.PYTHON_VERSION,
         sagemaker_session=sagemaker_session,
         script_mode=True,
         framework_version=TensorFlow.LATEST_VERSION,
@@ -182,6 +185,7 @@ def test_deploy_with_input_handlers(sagemaker_session, instance_type):
         role=ROLE,
         train_instance_count=1,
         train_instance_type=instance_type,
+        py_version=tests.integ.PYTHON_VERSION,
         sagemaker_session=sagemaker_session,
         script_mode=True,
         framework_version=TensorFlow.LATEST_VERSION,

tests/integ/test_tfs.py

@@ -26,25 +26,8 @@
 from sagemaker.tensorflow.serving import Model, Predictor
 
 
-@pytest.fixture(
-    scope="session",
-    params=[
-        "ml.c5.xlarge",
-        pytest.param(
-            "ml.p3.2xlarge",
-            marks=pytest.mark.skipif(
-                tests.integ.test_region() in tests.integ.HOSTING_NO_P3_REGIONS,
-                reason="no ml.p3 instances in this region",
-            ),
-        ),
-    ],
-)
-def instance_type(request):
-    return request.param
-
-
 @pytest.fixture(scope="module")
-def tfs_predictor(instance_type, sagemaker_session, tf_full_version):
+def tfs_predictor(sagemaker_session, tf_full_version):
     endpoint_name = sagemaker.utils.unique_name_from_base("sagemaker-tensorflow-serving")
     model_data = sagemaker_session.upload_data(
         path=os.path.join(tests.integ.DATA_DIR, "tensorflow-serving-test-model.tar.gz"),
@@ -57,7 +40,7 @@ def tfs_predictor(instance_type, sagemaker_session, tf_full_version):
             framework_version=tf_full_version,
             sagemaker_session=sagemaker_session,
         )
-        predictor = model.deploy(1, instance_type, endpoint_name=endpoint_name)
+        predictor = model.deploy(1, "ml.c5.xlarge", endpoint_name=endpoint_name)
         yield predictor
 
 
@@ -130,8 +113,6 @@ def tfs_predictor_with_model_and_entry_point_and_dependencies(
 @pytest.fixture(scope="module")
 def tfs_predictor_with_accelerator(sagemaker_session, tf_full_version):
     endpoint_name = sagemaker.utils.unique_name_from_base("sagemaker-tensorflow-serving")
-    instance_type = "ml.c4.large"
-    accelerator_type = "ml.eia1.medium"
     model_data = sagemaker_session.upload_data(
         path=os.path.join(tests.integ.DATA_DIR, "tensorflow-serving-test-model.tar.gz"),
         key_prefix="tensorflow-serving/models",
@@ -144,13 +125,13 @@ def tfs_predictor_with_accelerator(sagemaker_session, tf_full_version):
             sagemaker_session=sagemaker_session,
         )
         predictor = model.deploy(
-            1, instance_type, endpoint_name=endpoint_name, accelerator_type=accelerator_type
+            1, "ml.c4.large", endpoint_name=endpoint_name, accelerator_type="ml.eia1.medium"
         )
         yield predictor
 
 
 @pytest.mark.canary_quick
-def test_predict(tfs_predictor, instance_type):  # pylint: disable=W0613
+def test_predict(tfs_predictor):  # pylint: disable=W0613
     input_data = {"instances": [1.0, 2.0, 5.0]}
     expected_result = {"predictions": [3.5, 4.0, 5.5]}