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* Enable basic MKL-DNN INT8 Conv OP
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* Modify test case
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* Clean unittest code
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* Fix test
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* Modify test
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* Modify basic INT8 Conv
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* Enable INT8 pool OP
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* fix unittest
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* Clean unittest code.
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* Inception fusion operator.
* Support horizontal layer fusion in conv_fusion_op.
* Search conv algo strategy for variable-length input.
   search N times and cache the searched algos. For other input, choose the algo of input whose area is closest to this input.

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* Refine Dockerfile

* Add tasks, cmake gen

* Fix code error

* Disable compile after paddle_build.sh

* Refine

* Skip on PY35 CI

* Change env

* Refine paddle_build.sh

* Expose gen_fluid_lib

* Refine mkldnn.cmake

* Refine mkldnn.cmake

* Refine mkldnnlib

* Skip unstable tests

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* refine parallel_exe
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* rename shared_var_device

* code refine

* add test_weight_decay

* remove Sort
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* Add SortForReduce
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* code refine
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* follow comment
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add module cleanup
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This reverts commit 7f6d8ace.

* Make topk op support variable k.
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* Fix tensor type.
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* wip

* wip

* wip

* wip for test

* add fp16 tests test=develop

* fix cpu build test=develop

* fix test=develop

* fix py3 tests test=develop

* fix lr_scheduler dtype test=develop

* fix test=dvelop

* test fix ci compile test=develop

* fix build and merge test=develop

* fallback momentumop change to general test=develop

* make fp16 lr schedule simple test=develop

* fix ut test=develop

* fix tests test=develop

* remove fp16 learning rate cast test=develop

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