…2622)

We should copy weights when updateOutput at training. The weights are loaded before and will not be changed when do inference.

* feat: resnet50 training with distributed mode
* fix: unknown segmentfault
* fix: clone of dnn tensor
* fix: delete unused codes
* fix: bn initialization
* fix: performance regression
* fix: convergence regression
* fix: delete the release in ModelBroadcast
* fix: to pass all uni tests and delete segment fault.

* feat: add dnn vgg model.

* fix: rename the ResNet50Perf to Perf

* fix issue Predictor 2592

* adjust the algorithm

* fix whitespace style check

* fix code review issue

* fix loop efficiency

…hanged (intel-analytics#2638)

* fix join table backward

* change to resize as

* change Reshape to InferReShape in reshapeLoadTF

* fix docs

* fix failed code

* fix failed code

* fixes after code review

* fixes after code review

* fix

* fix infer

* add unit tests

* feat: vgg-16 with mkldnn backend
* fix: tests errors
* fix: case class too much arguments
* fix: vgg_16 blas model supports
* fix: protobuf of serializer
* fix: sgd poly test case error
* fix: consitent of poly impl
* fix: rename the version2 of Xavier to varianceNormAverage

…iven (#2634)

* refinement

* refinement

* refinement

* refinement per comments

* refinemnt per review

intel-analytics#2632)

* perf: need not narrow the gradients and zero gradients for dnn backend
* fix: empty gradient zero for dnn backend
* fix: delete affine

* add new parallel optimizer

* change infor back to debug for metrics log

* refinement per comments

* refinement per comments on single model optimization

* refinement for sharing common methods

* fix style

* refinement to reuse duplicate code

* fix transfer learning
* add ParseSingleExample, DecodeBmp tf loader
* add corresponding unit tests

* Fix transfer learning (#2645)

* fix transfer learning
* add ParseSingleExample, DecodeBmp tf loader
* add corresponding unit tests

* remove potential performance downgrader

apply SparkContextLifeCycle to tests

default app name + extend SparkContextLifeCycle to other compatible tests

add custom before and after

* bump version to 0.8.0-SNAPSHOT

* add core link update

…t training target (#2661)

* refinement inception v1 training code

* fix ut due to the init change

* fix type

* fix param

…ing example (#2663)

* refinement on python API

* fix ut

* fix: uuid() will return a new uuid every call
* fix: add partitionId to value()
* fix: we need not add partition id to the value()
* fix: code clean

…intel-analytics#2669)

* fix predictor issue

* refinemnt per batchsize only

* fix ut

* remove unused code

* fix batch size == 1

* fix ut

* AND/OR compound triggers support

* Unit-tests for compound triggers

* Unit-tests for compound triggers updates for OR

* Style fixes for Trigger.and/or

* Style fixes for Trigger.and/or

* Trigger.endWhen docs update

* Trigger.endWhen docs update

* add dnn graph

* move compile to forward, add graph test to perf

* add dnn graph option to example

* style check

* replace dnn with dnn graph in examples

* Fix ut failed

* fix ut

* delete phase in iniPrimitives

* fix style check

intel-analytics#2683)

* fix reorder to handle nhwc

* add init memory for ReorderMemory

* support same padding in dnn layer

* meet review

…s#3097)

* remove DLFrames

* update

* update

* update

* rm dlframe example from test script

* Add Utest about dividing zero

* add Utest and zero check of LocalData

* add Utest and zero check of LocalData

* change

* Add Utest about dividing zero

* fix test

* make default DistriOptimizer as V2

* update

* DistriOptimizerV2 logger

* update

* fix style check

* validate epoch num

…ntel-analytics#3137)

* flip0.14

* update

migrate bigdl to bigdl 2.0

* basic structure

* refine

* orca_lite -> nano

* nano -> bigdl.nano

* refactor

* init structure

* sync with analytics-zoo/nano#159

* conda build done

* remove unused

* basic structure

* refine

* orca_lite -> nano

* nano -> bigdl.nano

* refactor

* init structure

* sync with analytics-zoo/nano#159

* conda build done

* remove unused

* pytorch trainer

* tensorflow related

* no lite

* mv ipex tensor saver

* tailing duplicated blank lines

* liscense and restructure

* licenses

* restructure trainer

* plugins init

* enable pip install in nano

* fix ipex

* conda

* rename to bigdl-nano-init