Module support customized name, convolution support group and model topology update #19
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Conflicts: dl/src/main/scala/com/intel/analytics/sparkdl/models/Perf.scala dl/src/main/scala/com/intel/analytics/sparkdl/nn/SpatialConvolution.scala
yiheng
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Jun 21, 2017
* nn refactor * nn refactor * fix code style issue * change back the layers * code refactor * change tests to automatic test * add more test for model save * remove some useless unit test * add more save test * add more writer test * rnn test case automation * refine save test * refine save unit test * remove NHWC * meet code review * meet code review * use MulConst in MulTF * add a flatten node for tf 1.1 * fix code style and failed unit test * mv tf model layers to another package * add a python example to show how to define model in tensorflow and run in BigDL * move tf example python code to example folder * Add backward test in LeNet and AlexNet (#19) * add unit test of lenet backward * add some print * add backward test in lenet and alexnet * seperate testModel into forward and backward methods
wzhongyuan
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Jan 16, 2019
* 1. add inclusive or exclusive cache flag 2. make nn class uncopyable 3. add TIME_PROFILE to track perforamnce * improve avx512 shuffle gemm kernel
Oscilloscope98
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Oct 13, 2022
Restyle card components, refactor chronos landing, and change theme color
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To make it easy compare layer wise performance, module support a customized name(e.g. conv1, pool1...).
To align with caffe model, add kernel group to convolution layer and update alexnet, googlenet model topology