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Merged
merged 14 commits into from
May 6, 2020
Merged

feature: add tensorflow training 1.15.2 py37 support #1458

merged 14 commits into from
May 6, 2020

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chuyang-deng
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@chuyang-deng chuyang-deng commented May 5, 2020

Issue #, if available:

Description of changes:
Add Python 3.7 support for TensorFlow script mode 1.15.2 version.
tensorflow-training:1.15.2-py37 prod containers are not released yet.

Testing done:
unit test and integ test

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General

  • I have read the CONTRIBUTING doc
  • I used the commit message format described in CONTRIBUTING
  • I have passed the region in to any/all clients that I've initialized as part of this change.
  • I have updated any necessary documentation, including READMEs and API docs (if appropriate)

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  • 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)

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@laurenyu laurenyu changed the title feature: tensorflow training 1.15.2 py37 support feature: add tensorflow training 1.15.2 py37 support May 5, 2020
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@@ -71,6 +71,7 @@
"pytorch-serving",
]
PY2_RESTRICTED_EIA_FRAMEWORKS = ["pytorch-serving"]
PY37_SUPPORTED_FRAMEWORKS = ["tensorflow-scriptmode"]
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why do we need this? should we just return image not found if the given combination (Framework, Framework version, Python version) is not support?

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If we strip this line (L74) Python SDK will have to hit ECR service to find out if the combination exists.

If we do nothing to check for the py37 support before constructing the image uri, here will throw KeyError (key "py37" not found).

Updating the MERGED_FRAMEWORKS_LOWEST_VERSIONS dict to let each entry have a "py_version" key is also doable to prevent Python SDK hit the ECR service, but I think this dict is for checking whether the image is DLC merged frameworks instead of checking Python version support.

@@ -131,7 +131,9 @@ def test_mnist_distributed(sagemaker_session, instance_type, tf_full_version):
train_instance_count=2,
train_instance_type=instance_type,
sagemaker_session=sagemaker_session,
py_version=tests.integ.PYTHON_VERSION,
py_version="py37"
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what about other places in this file where py_veresion=tests.integ.PYTHON_VERSION?

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I was going to update them all once the container is released. But probably it's better to update them all at once.

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hmm...maybe it would be cleaner to put this into a fixture? i.e.

@pytest.fixture
def py_version():
    return "py37" if tf_full_version == TensorFlow._LATEST_1X_VERSION else tests.integ.PYTHON_VERSION

and then just use py_version in all the tests

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👍 Yes. This would be much better.

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ah, I think you can leave it in the TF script mode test file, since that's the only file that uses it, and the if condition is rather TF-specific

@@ -257,6 +258,9 @@ def create_image_uri(
if py_version and py_version not in VALID_PY_VERSIONS:
raise ValueError("invalid py_version argument: {}".format(py_version))

if py_version == "py37" and framework not in PY37_SUPPORTED_FRAMEWORKS:
raise ValueError("{} does not support Python 3.7 yet.".format(framework))
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maybe s/yet/at this time. There might some some frameworks that never receive Python 3.7 support.

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Done.

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laurenyu
laurenyu previously approved these changes May 6, 2020
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@chuyang-deng chuyang-deng merged commit d53b957 into aws:master May 6, 2020
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