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This repository was archived by the owner on May 23, 2024. It is now read-only.

Releases: aws/sagemaker-tensorflow-serving-container

v1.6.22.post0

13 May 15:44

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Testing and Release Infrastructure

  • Test against py37 in buildspec

v1.6.22

20 Apr 15:35

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Bug Fixes and Other Changes

  • TF EIA 1.15 and 2.0

v1.6.21

16 Apr 15:35

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Bug Fixes and Other Changes

  • Replaced deprecated aws ecr get-login by get-login-password

v1.6.20

03 Apr 15:40

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Bug Fixes and Other Changes

  • Updating Pyyaml and Awscli version for tf1.15
  • upgrade Pillow version in test example

v1.6.19

01 Apr 15:35

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Bug Fixes and Other Changes

  • Allowing arguments for deep_learning_container.py for tf

v1.6.18

26 Mar 15:45

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Bug Fixes and Other Changes

  • Adding of deep_learning_container.py

v1.6.17

18 Feb 15:46

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Bug Fixes and Other Changes

  • update: Remove multi-model label from CPU containers

v1.6.16

17 Feb 15:51

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Bug Fixes and Other Changes

  • update r2.0.1 dockerfiles
  • add 2.1 dockerfiles and tensorflow artifacts
  • update for 1.15.2

v1.6.15

04 Feb 15:44

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Bug Fixes and Other Changes

  • return on_delete method when model successfully deleted
  • validate tensorflow model version number in model path

v1.6.14.post0

20 Jan 15:50

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Documentation changes

  • document that pre-/post-processing is not supported with multi-model