* fix numpy ndarray mul var base error; test=develop
* add comment for __array_ufunc__ ; test=develop
* move unitest from imperative math op path to test_math_op_patch_var_base;
test=develop
* support to train in static
* support to independent decorator
* remove in_dygraph_mode condition in ProgramTranslator
* fix import param_guard and add train/eval test=develop
* Modify into ShareVarsFromScope and rm __all__ in partial_program test=develop
1. To make ProgramTranslator to support `assert` grammar, this PR adds `assert` python API and C++ code.
2. Fix a bug: graph_pattern_detector.h #include <gtest/gtest_prod.h> but didn't declared dependency at CMakeLists, which can cause single build failure.
3. Refactoring `Formatter` in print_op to make it reusable and reuse the formatter to print in assert op.
* Replace dygraph_to_static_func with @declarative or program_translator.get_func in test_list.py
* Add comments in ConditionalBlock.
* Support list pop last item.
* Support pop the i-th item.
* Support an empty tensor array as Input in assign op and set the kernel type is float.
* fix error info for rnn related api
* passed local test, test=develop
* double check the code
* double check the code, test=develop
* update 'shape' check in RNNCell, test=develop
* add long dtype to RNNCell
* fix long type in python3
Co-authored-by: XingWu01 <wuxing@iie.ac.cn>
* Support LoDTensorArray for slice op.
* Support read elements of list in dygraph_to_static
* Fix infershape add test for infershape.
* Support Tensor for Attr(starts) and Attr(ends).
* Use new interfaces in VarTypeInference.
* Rename internal gradient variables in multiple backward
* so that they have different names with previous backward
* For example:
* y = x * x, grad = fluid.gradients(fluid.gradients(y, x) + y * y, x)
* In second-time backward, gradient variable names of partial
* forward network (y * y) may be have same names with first-time
* fluid.gradients(y, x).
test=develop
* add trace op, test=develop
* Optimized the implementation of trace op, test=develop
* fix a bug of include in trace_op.h, test=develop
* move trace API from creation to math, test=develop
* modified en doc. test=develop
* add complex trace api
* add complex sum api, test=develop
* modified en doc of complex sum and trace, test=develop
* modified doc and trace API, test=develop
* modified en doc of trace and sum, test=develop
* modified comment in complex kron API, test=develop
* OP Should Not Have Unused Input, test=develop
* add GetExpectedKernelType, test=develop
* [Dy2Stat] Add test for ptb model. test=develop
* Simplify code for gast.If in is_control_flow_to_transform. test=develop
* Move IsControlFlowVisitor to file utils. test=develop
* Don't use convert_call for build-in func in CallTransformer. test=develop
* Optimize api is_control_flow_to_transform. test=develop
* Polish the document of IsControlFlowVisitor. test=develop
* Use declarative instead of dygraph_to_static_func. test=develop
* Simplify code for gast.If in is_control_flow_to_transform.
* Move IsControlFlowVisitor to file utils.
* Don't use convert_call for build-in func in CallTransformer.
* Optimize api is_control_flow_to_transform.
* Polish the document of IsControlFlowVisitor.
* add diag_embed op, test=develop
* add TestCase of diag_embed API
* Modified diag embed python API teastcase from dygraph to static graph, test=develop
* delete useless log and trigger ci, test=develop
* modified float16 of diag_embed, test=develop
* modified en doc of diag_embed
* trigger ci, test=develop
* add fp16 in dtype check of python API, test=develop
* modified __init__ and fix a big, test=develop
* modified a test bug of test_bicubic_interp_op and test_trilinear_interp_op, test=develop
* modified to use one kernel on cpu and cuda, test=develop
* optimize rank_attention, test=develop
* use the paddle memory pool, test=develop
* set max size, test=develop
* limit the max size, test=develop
* fix the head of cu, test=develop
* add AsDispensable, test=develop
* Add `paddle.nn.loss.MSELoss`
test=develop
* Move to `nn/layer/loss.py`
test=develop
* Add test
test=develop
* Fix dygraph
test=develop
* Increase numel in test
test=develop
* Add test for input with more dimensions
test=develop
* Support LoDTEnsorArray in fetch op
test=develop
* Support LoDTensorArray in fetch
test=develop
* Support LoDTensorArray in fetch
test=develop
* Support LoDTensorArray in fetch
test=develop
* Support LoDTensorArray in fetch
test=develop
* Support LoDTensorArray in fetch
test=develop
* Support LoDTensorArray in fetch
test=develop
* Support LoDTensorArray in fetch
test=develop
* Support LoDTensorArray in fetch
test=develop
* Support LoDTensorArray in fetch
test=develop
* add gradient check to reduce ops
* add skip gradient check to reduce ops test=develop
* modify stack api test=develop
* add bmm op and move serval ops from fluid.layers to tensor test=develop
To prepare for publishing APIs, I added tests for that we can access dy2stat through:
@fluid.dygraph.declarative
@fluid.dygraph.jit.declarative
fluid.dygraph.ProgramTranslator()
fluid.dygraph.dygraph_to_static.ProgramTranslator()
fluid.dygraph.dygraph_to_static.program_translator.ProgramTranslator()
It surprised me that we had bugs on those different usages. I have fixed them.
I also added example codes for these new APIs
This PR also pulls my current PR https://github.com/PaddlePaddle/Paddle/pull/23880, so the PR history is long. For reviewer information, you could review this PR after https://github.com/PaddlePaddle/Paddle/pull/23880 is merged
hutuxian
danleifeng
liu zhengxi
wangchaochaohu
Chen Weihang
Aurelius84
Li Fuchen
wangguanzhong
mapingshuo
FDInSky
wawltor
Guanghua Yu
Pei Yang
Yiqun Liu
zhongpu
liym27
hong
Huihuang Zheng
Leo Chen
Feiyu Chan
huangjun12
Xing Wu
Yi Liu
xujiaqi01
Yibing Liu
qingqing01
yongqiangma
Sylwester Fraczek
Tao Luo
GaoWei8
石晓伟
ShenLiang
Zhang Ting
HappyAngel
Chengmo
suytingwan
Zhong Hui
lijianshe02
Guo Sheng
WuHaobo
arlesniak
littletomatodonkey
xiaoting
guofei
Qinghe JING
0YuanZhang0
Zeng Jinle
ceci3
Kaipeng Deng
silingtong123
zhangchunle
Yang Zhang