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Merged
merged 9 commits into from
Feb 26, 2021
Merged

change: add mxnet 1.7.0 eia configuration #2173

merged 9 commits into from
Feb 26, 2021

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ycnie
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@ycnie ycnie commented Feb 24, 2021 •
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Issue #, if available:

Description of changes:
add mxnet 1.7.0 eia configuration

Testing done:

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@ChoiByungWook ChoiByungWook self-requested a review February 24, 2021 02:23
@ChoiByungWook ChoiByungWook changed the title add mxnet 1.7.0 eia configuration change: add mxnet 1.7.0 eia configuration Feb 24, 2021
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ChoiByungWook
ChoiByungWook reviewed Feb 24, 2021
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src/sagemaker/image_uri_config/mxnet.json
"us-west-2": "763104351884"
},
"repository": "mxnet-inference-eia",
"py_versions": ["py3"]
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I believe this might need to be py36 as per aws/deep-learning-containers@cab6c4e.

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Thanks for the comment. Will update

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For MXNet 1.7.0 training image, though the image tag is py36, in this file it still specifies the py_version as py3. We should keep training and inference images the same, otherwise when deploying the endpoint, it errors out because the py_version doesn't match. So I'll leave it as py3 to be consistent with the training image.

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Upon checking

docker pull 763104351884.dkr.ecr.us-west-2.amazonaws.com/mxnet-inference-eia:1.7.0-cpu-py36
docker pull 763104351884.dkr.ecr.us-west-2.amazonaws.com/mxnet-inference-eia:1.7.0-cpu-py3

Are both valid, so I'm okay with having py3. We add py36 in a separate PR if desired.

tests/conftest.py
if Version(mxnet_eia_version) < Version("1.7.0"):
return request.param
else:
return "py3"
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I believe this might need to be py36 as per aws/deep-learning-containers@cab6c4e.

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@ChoiByungWook ChoiByungWook merged commit 0578a3d into aws:master Feb 26, 2021
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@ycnie @sagemaker-bot @ChoiByungWook