feature: pytorch 1.3.1 eia support #1328

chuyang-deng · 2020-03-04T23:27:24Z

Issue #, if available:
DO NOT MERGE until PyTorch 1.3.1 EIA images are released.

Description of changes:
Add PyTorch 1.3.1 eia support.

Testing done:
unit test
integ test with gamma container

Merge Checklist

Put an x in the boxes that apply. You can also fill these out after creating the PR. If you're unsure about any of them, don't hesitate to ask. We're here to help! This is simply a reminder of what we are going to look for before merging your pull request.

General

I have read the CONTRIBUTING doc
I used the commit message format described in CONTRIBUTING
I have used the regional endpoint when creating S3 and/or STS clients (if appropriate)
I have updated any necessary documentation, including READMEs and API docs (if appropriate)

Tests

I have added tests that prove my fix is effective or that my feature works (if appropriate)
I have checked that my tests are not configured for a specific region or account (if appropriate)
I have used unique_name_from_base to create resource names in integ tests (if appropriate)

By submitting this pull request, I confirm that my contribution is made under the terms of the Apache 2.0 license.

sagemaker-bot · 2020-03-04T23:31:09Z

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dfan · 2020-03-05T19:34:53Z

README.rst

-Supported versions of PyTorch: ``0.4.0``, ``1.0.0``, ``1.1.0``, ``1.2.0``, ``1.3.1``.
+Supported versions of PyTorch: ``0.4.0``, ``1.0.0``, ``1.1.0``, ``1.2.0``, ``1.3.1``, ``1.4.0``.
+
+Supported versions of TensorFlow for Elastic Inference: ``1.3.1``.


PyTorch not TensorFlow

dfan · 2020-03-05T19:35:08Z

src/sagemaker/pytorch/README.rst

@@ -6,6 +6,8 @@ With PyTorch Estimators and Models, you can train and host PyTorch models on Ama

 Supported versions of PyTorch: ``0.4.0``, ``1.0.0``, ``1.1.0``, ``1.2.0``, ``1.3.1``, ``1.4.0``.

+Supported versions of TensorFlow for Elastic Inference: ``1.3.1``.


PyTorch not TensorFlow

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davidthomas426 · 2020-03-05T19:32:32Z

src/sagemaker/pytorch/README.rst

@@ -6,6 +6,8 @@ With PyTorch Estimators and Models, you can train and host PyTorch models on Ama

 Supported versions of PyTorch: ``0.4.0``, ``1.0.0``, ``1.1.0``, ``1.2.0``, ``1.3.1``, ``1.4.0``.

+Supported versions of TensorFlow for Elastic Inference: ``1.3.1``.


typo "TensorFlow" => "PyTorch"

davidthomas426 · 2020-03-05T19:41:05Z

tests/integ/test_pytorch_train.py

+        predictor = pytorch.deploy(
+            initial_instance_count=1,
+            instance_type=cpu_instance_type,
+            accelerator_type="ml.eia1.large",


Could use ml.eia2.large instead, or even ml.eia2.medium, for this test.

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davidthomas426 · 2020-03-06T05:11:15Z

doc/using_pytorch.rst

+
+  predictor = pytorch_estimator.deploy(instance_type='ml.m4.xlarge',
+                                       initial_instance_count=1,
+                                       accelerator_type='ml.eia1.medium')


Would prefer copy-pastable example to use 'ml.eia2.medium' instead.

Updated to ml.eia2.medium. But is there a particular reason why?

laurenyu · 2020-03-06T18:11:37Z

src/sagemaker/fw_utils.py

+    "tensorflow-serving",
+    "mxnet",
+    "mxnet-serving",
+    "pytorch",


I don't recall exactly where this logic is used, but doesn't "pytorch" technically still not support EI since none of the "pytorch" images that also had the serving stack supported EI? it's just "pytorch-serving" with the EI support, right?

That makes sense. The only version of pytorch that supports eia is 1.3.1 and that's after spliting. So only pytorch-serving is EIA valid.

laurenyu · 2020-03-06T18:12:42Z

src/sagemaker/fw_utils.py

+        if py_version not in lowest_version_list:
+            raise ValueError("{} is not supported in {}.".format(framework, py_version))


how are we handling other cases where EI wouldn't work, e.g. PyTorch 1.2? I think it'd be better to keep this method strictly about determining if the version is one where a DLC image is used, and to handle other logic (e.g. "is this framework + Python version combination valid?") in its own location.

The version safe guard is here:

sagemaker-python-sdk/src/sagemaker/fw_utils.py

Line 93 in adbf8db

"pytorch-serving-eia": {"py3": [1, 3, 1]},

I've moved the framework_version + py_version check to framework model class and moved unit test accordingly

sorry for not being clear - I meant that it didn't really fit in that particular function, but I think it's okay to leave in fw_utils. I'd probably modify this function: https://github.com/aws/sagemaker-python-sdk/blob/master/src/sagemaker/fw_utils.py#L261-L263

laurenyu · 2020-03-06T18:15:11Z

src/sagemaker/pytorch/model.py

@@ -136,7 +136,7 @@ def prepare_container_def(self, instance_type, accelerator_type=None):
                For example, 'ml.p2.xlarge'.
            accelerator_type (str): The Elastic Inference accelerator type to
                deploy to the instance for loading and making inferences to the
-                model. Currently unsupported with PyTorch.
+                model. Currently supported with PyTorch 1.3.1 Python 3.


nit: I would just remove "Currently unsupported with PyTorch" entirely and leave the version info for the READMEs.

laurenyu · 2020-03-06T18:16:18Z

tests/data/pytorch_eia/mnist.py

@@ -0,0 +1,13 @@
+# Copyright 2020 Amazon.com, Inc. or its affiliates. All Rights Reserved.


would it make more sense to name this file something like "empty_inference_script"? imo "mnist" implies a script that trains a model on mnist because that's how we use it everywhere else 😂

updated script name.

… version check

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Co-authored-by: Raymond Liu <[email protected]> Co-authored-by: Ruilian Gao <[email protected]> Co-authored-by: John Barboza <[email protected]> Co-authored-by: Gary Wang <[email protected]> Co-authored-by: Malav Shastri <[email protected]> Co-authored-by: Keshav Chandak <[email protected]> Co-authored-by: Zuoyuan Huang <[email protected]> Co-authored-by: Ao Guo <[email protected]> Co-authored-by: Mufaddal Rohawala <[email protected]> Co-authored-by: Mike Schneider <[email protected]> Co-authored-by: Bhupendra Singh <[email protected]> Co-authored-by: ci <ci> Co-authored-by: Malav Shastri <[email protected]> Co-authored-by: evakravi <[email protected]> Co-authored-by: Keshav Chandak <[email protected]> Co-authored-by: Alexander Pivovarov <[email protected]> Co-authored-by: qidewenwhen <[email protected]> Co-authored-by: mariumof <[email protected]> Co-authored-by: matherit <[email protected]> Co-authored-by: amzn-choeric <[email protected]> Co-authored-by: Ao Guo <[email protected]> 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<[email protected]> Co-authored-by: Jose Pena <[email protected]> Co-authored-by: cansun <[email protected]> Co-authored-by: AWS-pratab <[email protected]> Co-authored-by: shenlongtang <[email protected]> Co-authored-by: Zach Kimberg <[email protected]> Co-authored-by: chrivtho-github <[email protected]> Co-authored-by: Justin <[email protected]> Co-authored-by: Duc Trung Le <[email protected]> Co-authored-by: HappyAmazonian <[email protected]> Co-authored-by: cj-zhang <[email protected]> Co-authored-by: Matthew <[email protected]> Co-authored-by: Zach Kimberg <[email protected]> Co-authored-by: Rohith Nadimpally <[email protected]> Co-authored-by: rohithn1 <[email protected]> Co-authored-by: Victor Zhu <[email protected]> Co-authored-by: Gary Wang <[email protected]> Co-authored-by: SSRraymond <[email protected]> Co-authored-by: jbarz1 <[email protected]> Co-authored-by: Mohan Gandhi <[email protected]> Co-authored-by: Mohan Gandhi <[email protected]> Co-authored-by: Barboza <[email 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protected]> Co-authored-by: Shailav <[email protected]> Fix unit tests (#1018) Fix happy hf test (#1026) fix logic setup (#1034) fixes (#1045) Fix flake error in init (#1050) fix (#1053) fix: skip tensorflow local mode notebook test (#4060) fix: tags for jumpstart model package models (#4061) fix: pipeline variable kms key (#4065) fix: jumpstart cache using sagemaker session s3 client (#4051) fix: gated models unsupported region (#4069) fix: pipeline upsert failed to pass parallelism_config to update (#4066) fix: temporarily skip kmeans notebook (#4092) fixes (#1051) Fix missing absolute import error (#1057) Fix flake8 error in unit test (#1058) fixes (#1056) Fix flake8 error in integ test (#1060) Fix black format error in test_pickle_dependencies (#1062) Fix docstyle error under serve (#1065) Fix docstyle error in builder failure (#1066) fix black and flake8 formatting (#1069) Fix format error (#1070) Fix integ test (#1074) fix: HuggingFaceProcessor parameterized instance_type when image_uri is absent (#4072) fix: log message when sdk defaults not applied (#4104) fix: handle bad jumpstart default session (#4109) Fix the version information, whl and flake8 (#1085) Fix JSON serializer error (#1088) Fix unit test (#1091) fix format (#1103) Fix local mode predictor (#1107) Fix DJLPredictor (#1108) Fix modelbuilder unit tests (#1118) fixes (#1136) fixes (#1165) fixes (#1166) fix: auto ml integ tests and add flaky test markers (#4136) fix model data for JumpStartModel (#4135) fix: transform step unit test (#4151) fix: Update pipeline.py and selective_execution_config.py with small fixes (#1099) fix: Fixed bug in _create_training_details (#4141) fix: use correct line endings and s3 uris on windows (#4118) fix: js tagging s3 prefix (#4167) fix: Update Ec2 instance type to g5.4xlarge in test_huggingface_torch_distributed.py (#4181) fix: import error in unsupported js regions (#4188) fix: update local mode schema (#4185) fix: fix flaky Inference Recommender integration tests (#4156) fix: clone distribution in validate_distribution (#4205) Fix hyperlinks in feature_processor.scheduler parameter descriptions (#4208) Fix master merge formatting (#1186) Fix master unit tests (#1203) Fix djl unit tests (#1204) Fix merge conflicts (#1217) fix: fix URL links (#4217) fix: bump urllib3 version (#4223) fix: relax upper bound on urllib in local mode requirements (#4219) fixes (#1224) fix formatting (#1233) fix byoc unit tests (#1235) fix byoc unit tests (#1236) Fixed Modelpackage's deploy calling model's deploy (#1155) fix: jumpstart unit-test (#1265) fixes (#963) Fix TorchTensorSer/Deser (#969) fix (#971) fix local container mode (#972) Fix auto detect (#979) Fix routing fn (#981) fix local container serialization (#989) fix custom serialiazation with local container. Also remove a lot of unused code (#994) Fix custom serialization for local container mode (#1000) fix pytorch version (#1001) Fix unit test (#990) fix: Multiple bug fixes including removing unsupported feature. (#1105) Fix some problems with pipeline compilation (#1125) fix: Refactor JsonGet s3 URI and add serialize_output_to_json flag (#1164) fix: invoke_function circular import (#1262) fix: pylint (#1264) fix: Add logging for docker build failures (#1267) Fix session bug when provided in ModelBuilder (#1288) fixes (#1313) fix: Gated content bucket env var override (#1280) fix: Change the library used in pytorch test causing cloudpickle version conflict (#1287) fix: HMAC signing for ModelBuilder Triton python backend (#1282) fix: do not delete temp folder generated by sdist (#1291) fix: Do not require model_server if provided image_uri is a 1p image. (#1303) fix: check image type vs instance type (#1307) fix: unit test (#1315) fix: Fixed model builder's register unable to deploy (#1323) fix: missing `self._framework` in `InferenceSpec` path (#1325) fix: enable xgboost integ test in our own pipeline (#1326) fix: skip py310 (#1328) fix: Update autodetect dlc logic (#1329) Fix secret key in the Model object (#1334) fix: improve error message (#1333) Fix unit testing (#1340) fix: Typing and formatting (#1341) fix: WaiterError on failed pipeline execution. results() (#1337) Fix tox identified errors (#1344) Fix issue when the user runs in Python 3.11 (#1345) fixes (#1346) fix: use copy instead of move in bootstrap script (#1339) Resolve keynote3 conflicts (#1351) Resolve keynote3 conflicts v2 (#1353) Fix conflicts (#1354) Fix conflicts v3 (#1355) fix: get whl from local to run integ tests (#1357) fix: enable triton pt tests (#1358) fix: integ test (#1362) Fix Python 3.11 issue with dataclass decorator (#1345) fix: remote function include_local_workdir default value (#1342) fix: error message (#1373) fixes (#1372) fix: Remvoe PickleSerializer (#1378)

Deng added 3 commits March 4, 2020 15:16

feature: pytorch 1.3.1 eia

a32893b

update pytorch unit test

2581ae7

update doc

acb6c5d

fix black erroe

e847e69

update docstring

88ea003

dfan reviewed Mar 5, 2020

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davidthomas426 reviewed Mar 5, 2020

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add readthedocs example

adbf8db

dfan previously approved these changes Mar 5, 2020

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davidthomas426 reviewed Mar 6, 2020

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laurenyu reviewed Mar 6, 2020

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address comments: accelerator_type, script name, framework and python…

c0cc779

… version check

chuyang-deng dismissed dfan’s stale review via c0cc779 March 6, 2020 20:29

Merge branch 'master' into master

e7f08c7

Deng and others added 2 commits March 6, 2020 13:31

address comments

089ccd9

Merge branch 'master' into master

26f38e0

chuyang-deng changed the title ~~[DO NOT MERGE] feature: pytorch 1.3.1 eia support~~ feature: pytorch 1.3.1 eia support Mar 6, 2020

change eia test instance type

e96e629

check framework and py version in accelerator validate method

1151215

laurenyu approved these changes Mar 6, 2020

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chuyang-deng merged commit 4ef5386 into aws:master Mar 6, 2020

		@@ -6,6 +6,8 @@ With PyTorch Estimators and Models, you can train and host PyTorch models on Ama

		Supported versions of PyTorch: ``0.4.0``, ``1.0.0``, ``1.1.0``, ``1.2.0``, ``1.3.1``, ``1.4.0``.

		Supported versions of TensorFlow for Elastic Inference: ``1.3.1``.

		if py_version not in lowest_version_list:
		raise ValueError("{} is not supported in {}.".format(framework, py_version))

		@@ -0,0 +1,13 @@
		# Copyright 2020 Amazon.com, Inc. or its affiliates. All Rights Reserved.

feature: pytorch 1.3.1 eia support #1328

feature: pytorch 1.3.1 eia support #1328

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chuyang-deng commented Mar 4, 2020

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AWS CodeBuild CI Report

sagemaker-bot commented Mar 6, 2020

AWS CodeBuild CI Report

sagemaker-bot commented Mar 6, 2020

AWS CodeBuild CI Report

sagemaker-bot commented Mar 6, 2020

AWS CodeBuild CI Report

sagemaker-bot commented Mar 6, 2020

AWS CodeBuild CI Report

sagemaker-bot commented Mar 6, 2020

AWS CodeBuild CI Report

sagemaker-bot commented Mar 6, 2020

AWS CodeBuild CI Report