* fix elementwise_pow bug on integer, test=develop
* use llrint to support elementwise_pow_grad, test=develop
* add some tests, test=develop
* revert grad functor, test=develop
* add fake init for the trainer, fix large memory hold in the trainer
* do not merge recv vars from a remote endpoint, test=develop
* add recv and save op, merge slice var in one op, save memory
* remove hsigmoid with pull sparse, test=develop
* update benchmark for int8v2, QAT1, QAT2 accuracy and performance
test=document_fix
* change according to reviews
test=develop test=document_fix
* improve some descriptions and some models
test=develop test=document_fix
* update models benchmark data
test=develop test=document_fix
* update int8v2 and qat2 performance
test=develop test=document_fix
* fix python API tests that do not need to inherit OpTest, test=develop
* fix fp16 cases that will only be enabled in GPU mode, test=develop
* remove TestSoftmaxFP16Op from test cases of softmax_mkldnn_op, test=develop
* fix tests so that the cases are only created in GPU mode, test=develop
Add tests to use dy/dx to make sure the gradient values calculated by the control flow backward is correct. Also fixed bugs detected by those tests.
Fix bugs:
1. Unlike sum_op, optimizer ops don't allow uninitialized input tensor. But in conditional_block_grad_op, since the conditional_block may not run, the output gradient tensor may be uninitialized, which will cause the optimizer op error. To fix it, we should let optimizer ops support uninitialized input like sum_op or assign the uninitialized gradient to 0 when the conditional_block_grad_op doesn't run. I found there are about 10+ optimizer ops. **To be simpler, I just assign output gradient of the conditional_block_grad_op to 0 in this PR**. But it can be further explored whether we can make optimizer ops like sum_op to support uninitialized input tensor because theoretically we can speed up without the assigning in conditional_block_grad_op.
2. Infer parameter shapes during append_backward. I didn't know that all our parameters are in global block. When op_desc is inferring shapes at the sub-block, it may not know the shape of gradients of parameters whose shape information is at global block. I fixed it by inferring shapes of gradients from forward var.
This PR also did some code clean up:
1. Print the var name when sgd_op catches shape error so that it is easier to debug
2. Fix a typo: dicta -> dict
* add file check_op_desc.py and add interface to get default value. test=develop
* add test for c++ coverage rate. test=develop
* Correct typo. test=develop
* dygraph mode support linear lr warm up; test=develop
* add unitest for linear warmup; test=develop
* add input type check; test=develop
* fix type check assert error; test=develop
* change type error; test=develop
* test=develop, fix docker with paddle nccl problem
* don't expose numerous Tensor.set(), test=develop
* fix condition, test=develop
* fix float16 bug, test=develop
* feed should be Tensor or np.array, not Variable or number, test=develop
* use forcecast to copy numpy slice to new array, test=develop
* remove float16-uint16 hacking, test=develop
* add variable method to varbase and refactor to_variable to support return varbase
* support kwargs in varbase constructor
* add VarBase constructor to support default python args
* refine varbase initial method
* reset branch
* fix ut for change VarBase error info to PaddleEnforce
* cherry is parameter change before
* overload isinstance to replace too many change of is_variable
* rm useless files
* rm useless code merged by git
* test=develop, fix some ut failed error
* test=develop, fix test_graph_wrapper
* add some tests, test=develop
* refine __getitem__, test=develop
* add tests, test=develop
* fix err_msg, test=develop
* fix the device supported of the op unique and unique_with_counts.
test=develop
test=document_fix
* Fix the precision of test in the op of unique and unique_with_counts.
test=develop
test=document_fix
* add param & grad shape check for sgd op
* add _reshape_inplece interface for dygraph parallel
* refine unittest based paddle/models scripts, test=develop
* add unittest for parallel grad fuse, test=develop
* Commit before merging develop
test=develop
* Backup after working with Huihuang logs
* Commit before deleting Huihuang debug loggings
* Commit before debug
test=develop
* Fix bug commit
test=develop
* Backup of fixing bugs
test=develop
* Clean up code
test=develop
* Fix a bug in sum_op
test=develop
* Add ascending for argsort
* Refine api doc description.
* Refine descending description
* Add int32 logic to speedup when data is small size.
* Remove int32 opt as not support in python
* add ut for comparing FP32 and QAT INT8
* add save qat transformed model python script
test=develop
* updated
* added missing file
* add "with_label"
test=develop
* performance benchmark as unit test
test=develop
* change names of unnecessary thing
* Change CMakeList.txt for model downloading and UT
test=develop
* change names of functions and params for more readable code
test=develop
* Change PADDLE_ENFORCE messages
test=develop
* fix indent problems
test=develop
* indent problems
test=develop
* Implement Int8 FC
* Integrate FC into INT8v2
test=develop
* int8 FC: transpose weights before computing scales
test=develop
* Add support for activation_type string in FC
test=develop
* Disable MKL-DNN's FC in VGG16 and 19
test=develop
* Disable FC quantization when mkldnn FC is disabled
test=develop
* Solve PADDLE_ENFORCES in FC int8
* Fix Paddle enforces and remove const cast
test=develop
* Fix style changes
test=develop
* Fix quantizer_tester test and add fc quantization
test=develop
* Fix FC test fail on CUDA
* Remove unnecessary log from quantize placement pass
test=develop
* Add Thread ID to FC hash key
test=develop
* Add comments to MKL-DNN FC Kernel
test=develop
* Refactor quantizer
test=develop
* Fix linter issues
test=develop
* Fix crash in slim googlenet
test=develop
* Fix PADDLE_ENFORCE messages
test=develop
* Add fc padding to solve mkl performance
test=develop
* fix gpu pass and error information
test=develop
* fix fc_fuse_pass_test
test=develop
* fix error information
test=develop
* fix error information
test=develop
* fix name and add fc op padding test
test=develop
* fix attributes
test=develop
* optimize fc padding
test=develop
* fix test
test=develop
zhouwei25
Leo Chen
Chen Weihang
lilong12
Aurelius84
WangXi
gongweibao
juncaipeng
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joanna.wozna.intel
baojun
tangwei12
mapingshuo
Huihuang Zheng
Adam
xujiaqi01
zhongpu
lidanqing
Zhang Ting
liym27
guofei
lijianshe02
hutuxian
Feiyu Chan
wangchaochaohu
Jacek Czaja
danleifeng
hong
Youwei Song
Zeng Jinle
ruri
wawltor
Jie Fang
zhaoyuchen2018
Kaipeng Deng
Liufang Sang
Michał Gallus
itminner
Zhen Wang
GaoWei8