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Unify data load interface of different dataset #16
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wzhongyuan
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Aug 28, 2017
PAC exmaple on IMDB dataset
wzhongyuan
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* feat: jni api for fixpoint * fix: const value to variable * fix: delete iml files generated by idea * fix: set data address and execute to one function * refactor: jni api * feat: implementation of c * fix: modify apis * fix: signature * feat: delete memory type * feat: linear supports * fix: change to 0.3.0-SNAPSHOT * fix: add fixpoint header file * fix: cancel static library to dynamic library * fix: supports group in conv * fix: errors in argus of gemms * fix: groups support * refactor: rename package * feat: mac supports for quantization * fix: delete dnn * feat: windows supports * fix: artifact id error * fix: compiler error on windows * refactor: rename api names * fix: windows supports * refactor: rename package * feat: manual load library * refator: rename * feat: makefile supports * fix: directory refactor * fix: rename MixPrecisionGEMM * refactor: new loader * feat: add loader * feat: windows supports * fix: dynamic lib * refactor: code style * test: delete submodule bigquant temporarily * feat: native code dir
Oscilloscope98
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We support use different dataset(imagenet, cifar10 and mnist) to train and test the model. But the code is hard to maintain. We should do some code refactor.
The target is unify the dataload, transform function of different dataset in local or spark cluster mode.
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