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Releases: slaclab/lume-model

Release v0.8

21 Oct 03:28
075f818
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This release contains fixes for:

  • yaml parsing bugs (incorrect handling of model class)

Enhancements include:

  • Option to return model class without initialization
  • Passing of custom layers via yaml
  • Exception logging when missing model or layer class
  • General doc improvements

Release v0.7

20 Oct 17:06
eaf5916
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This release implements a conditional model load for the model_from_yaml function. This is useful because passing an initialized model to the server may lead to thread safety errors.

Additionally, bugs in parsing have been fixed.

Release v0.6

19 Oct 19:44
b0fb230
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This release corrects two loading bugs with the yaml parsing implementation.

First, a default was used in the initialization of the image output variable. This has been dropped.

Second, filenames passed to the parsing rather than files were not caught. They are now checked for validity.

Release v0.5

16 Oct 18:50
de27a07
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Fixes downstream tensorflow version resolution error with python 3.8.

Release v0.4

15 Oct 18:56
0acb593
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This release includes a bug fix. Tensorflow was included in the requirements.txt creating a broken installation downstream for lume-epics.

BROKEN: Release v0.3

15 Oct 18:08
bca0dc3
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This release implements the keras tooling, model from yaml methods, variables from yaml methods, and constant variables.

v0.2

14 Aug 21:31
5c77b45
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New lume-model release with updated variables and build.

Initial lume-model release

30 Jul 17:50
058a348
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Merge pull request #2 from jacquelinegarrahan/docs_configure

DOC: Update site_url and repo_url