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@DEKHTIARJonathan DEKHTIARJonathan commented Jun 1, 2018

Changelog

Added

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Deprecated

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Fixed

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@DEKHTIARJonathan DEKHTIARJonathan requested review from zsdonghao and luomai and removed request for zsdonghao and luomai June 1, 2018 19:00
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why we put W_init_args and b_init_args into the basic layer ?

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@DEKHTIARJonathan DEKHTIARJonathan changed the title [WIP] Refactor/core layer API tl.layer API Refactoring and various modifications Jun 1, 2018
@DEKHTIARJonathan DEKHTIARJonathan changed the title tl.layer API Refactoring and various modifications tl.layers API Refactoring and various modifications Jun 1, 2018
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If this is fine with you, this PR can be merged. No hurry anyway ;)

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DEKHTIARJonathan commented Jun 1, 2018

@zsdonghao The idea was to remove redundant code that was everywhere.

Maybe it is not the best idea, I can change it, if its a problem. The idea is to design one systematic manner to handle dictionary arguments

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@zsdonghao zsdonghao merged commit c5b6cee into master Jun 2, 2018
@zsdonghao zsdonghao deleted the refactor/core_layer_API branch June 2, 2018 22:35
luomai pushed a commit that referenced this pull request Nov 21, 2018
* Decorators API Refactored

* extra_requires `all`, `all_cpu` and `all_gpu` added

* Error fix

* YAPF Formating Correction

* Test for private method decorator added

* Test Logging Verbosity Fixed to Debug when runned individually

* YAPF corrections applied

* Changelog Added

* Changelog updated

* PR number changed

* First Refactoring Pass done

* cleaning second pass

* Refactoring 3rd pass

* Refactoring 4th Pass

* Code Error fix

* YAPF Formating Fix

* Arguments now using self

* YAPF error correction

* Bug Fix in Decorator

* act name bug fix

* Error Correction

* YAPF formating fix

* Useless tf.identity removed

* Error Fix

* Changelog Updated

* Error fix in tl.activation

* Documentation error fix

* Lazy Import added

* Import Refactoring with LazyImport when necessary

* Changelog Updated

* Gitter Removed

* Fixed proposed by @zsdonghao

* Documentation updated

* Missing requirements added

* Update to TensorLayer 1.8.6rc1

* Requirements error fix

* Docker Files updated
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