1. Type of index: int, slice(step must be 1).
2. Type of value:
(1) int32, int64, float32, bool;
(2) numpy.array(int32, int64, float32, bool);<Note: float64 is not supported>
(3) paddle.Tensor(int32, int64, float32, float64, bool);
* add heter box
* add trainer, worker, wrapper...
* format
* for ci
* format
* remove boost get
* boost & copyright
* rename
* rename
* format
* format
* format
Co-authored-by: yaoxuefeng6 <yaoxuefeng@baidu.com>
* add conj op for complex types
* add conj for complex types
* add more test case
* add conj_op test
* modify conj api and impl
* add complex type for fill_constant_op xpu
* add setConstant for complex type
* remove complex conj test file
* user define grad for test_conj_op
* add test case for static mode of conj api
* modify conj doc
* change input args name to x
* remove useless codes
* conj support real types
* add conj test case for real number
* delete no need to calculate inputs in dygraph op_test
* delete no need to calculate inputs in dygraph op_test
* modify grad of mul for complex types
* fix the grads of inputs args order not match bug
* Test compilation time with less parallel count, notest, test=windows_ci
* optimize rules of Unity Build, notest, test=windows_ci, test=windows_op
* limit parallel counts used only on GPU, test=develop
* remove limit of argument /m:8 on Windows, test=develop
* add conj op for complex types
* add conj for complex types
* add more test case
* add conj_op test
* modify conj api and impl
* add complex type for fill_constant_op xpu
* add setConstant for complex type
* remove complex conj test file
* user define grad for test_conj_op
* add test case for static mode of conj api
* modify conj doc
* change input args name to x
* remove useless codes
* conj support real types
* add conj test case for real number
* add complex real op & api & unittest
* add imag op & api & unittest
* refactor op impl
* revert simplify writing due to complile failed
* polish details
* polish grad op code
* fix expand && concat/transpose to new api
* update xpu_header
* update activation op on kunlun
* update activation op on kunlun
* update activation op on kunlun
* update activation op on kunlun
* update activation op on kunlun
* add nearest_interp on kunlun
* update error message
* Add the strategy of skipping cc/cu test compilation and execution in CI, test=develop
* fix if error with CI_SKIP_TEST, test=develop
* fix add properties to test error on Linux/MAC, test=develop
* fix set test properties of test_code_generator error, test=develop
* remove test codes and advance judgment of file modification on Linux, test=develop
* rename CI_SKIP_TEST to CI_SKIP_CPP_TEST, test=document_fix
* Add branch judgement on Linux, test=develop
* Compiling operator libraries with Unity Build on Windows CPU.
* Compiling operator libraries with Unity Build on Windows GPU, no_test, test=windows_ci
* Add option in windows ci script, no_test, test=windows_ci
* Optimize parallel compiling, test=develop
* remove limit of parallel compile and skip some ops in UB, test=develop
* remove changes of header file, test=develop
* remove changes of header file, test=develop
* fix test_eye_op unittest failed, test=develop
* Compiling operator libraries with Unity Build on Linux, test=develop
* set default WITH_UNITY_BUILD=OFF, test=develop
* Move unity build rules into a single file and add comment, test=develop
* optimize parallel compilation, test=develop
* fix undefined reference error on coverage ci, test=develop
* add complex64 and complex128 type; add +-*/@ and slice opreator for complex types
* add test cases for complex elementwise, matmul and getitem unittest
* add test cases for complex types
* add test cases for complex matmul unittest
* kron, reshape, transpose support complex types
* sum and trace op support complex types
* add test case of sum and trace op
* fix the bug of imag part of complex not initialized
* format file
* format code style
* kron support type promotion; modify test cases
* basic impl of type promote
* add comment & another testcase
* fix complex bugs & support python op promote type
* fix failed unittests & polish code
* add unittest for coverage
* change to only promote complex type
* polish code details
* polish several comments
* add the weight decay func for the momentum op
* Add the multi_precision function in Momentum Optimizer.
* Make sure that the initial value of master weights are same with the fp16 weights.
* add static loss scaling.
* add the rescale_grad function in the pure fp16 training.
* use the original momentum updating method.
* Polish some codes, such as variable names.
* add docstring for apis.
* update the var creation details of _create_master_weight.
* not modify codes about imperative momentum updating.
* Fix the error of test_dist_sparse_tensor_load_momentum UT.
* add unit test for multi precision fp16 training.
* add more unit tests for CI.
* Use lower threshold values for allclose comparing in test_multi_precision_fp16_train UT.
* For CI Coverage Checking.
* add fp16 for layer_norm op
* revert layernorm api
* fix forward
* fix forward
* fix backward for layernorm with fp16
* fix unit test for layernorm with fp16
* fix with_mkldnn compile error for layernorm with fp16
* 1. revert to PADDLE_ENFORCE_NOT_NULL, 2. change static_cast<float> to static_cast<U>
* fix with_mkldnn compile error for layernorm with fp16
* fix with_mkldnn compile error for layernorm with fp16
Co-authored-by: zhiqiu <chenqiuliang@baidu.com>
* add complex64 and complex128 type; add +-*/@ and slice opreator for complex types
* add test cases for complex elementwise, matmul and getitem unittest
* add test cases for complex types
* add test cases for complex matmul unittest
* add lstm, simple rnn op kernel
* fix the test_lstm for the rnn op
* change func name
* fix forward postprocess bug
* add gru forward, backward code
* remove unittest.skipIf; use a big rnn op instead of combination op
* fix input doesn't have gradient bug
* add eigen lstm forward, backward
Co-authored-by: wawltor <fangzeyang0904@hotmail.com>
* Fix gradients with ignore_idx in softmax_with_cross_entropy.
test=develop
* Fix gradients with ignore_idx in softmax_with_cross_entropy on cpu.
Remove softmax_with_cross_entropy from op_threshold_white_list.
test=develop
* Fix test_softmax_cross_entropy_op.py.
test=develop
* disable ut test_parallel_executor_fetch_isolated_var,test=document_fix
* test for limiting ut exec time as 15S
* fix an error caused by cannot find ut
* fix some error
* can not find test_transformer
* fix error caused by ut not run in windows
* fix error caused by Compiler Options
* fix error caused by setting timeout value as 15 in python/paddle/tests/CMakeLists.txt
* setting timeout value to 120s for old ut
* add the timeout value setting
* fix error caused by ut only run in coverage_ci
* add analyzer_transformer_profile_tester
* fix some error
* fix some error
* fix error with inference option
* fix error with inference option setting as ON_INFER
* add some ut to set timeout
* modified some option
* fix error
* fix some timeout error
* fix error
* fix error
* fix timeout for test_analyzer_bfloat16_resnet50
* fix error
* setting timeout properity for some ut
* first pr for new ut timeout as 15S
* fp16 result ok
* change -DWITH_NVINFER_PLUGIN toconfig.EnableTensorRtOSS
* auto detect special slice op converter for ernie with trt oss
* ernie oss only support fp16
* fix special_slice_plugin serialize bug
* matmul in tensorrt ok
* ernie unittest ok
* add matmul tensorrt unittest
* remove demo code
* fix strided_slice_op's GetExpectedKernelType when input tensor is at CUDAPinnedPlace
* add unittest for tensors in cuda pinned place
* skip test for cuda pinned place on cpu machines
* Still has bugs.
* Fixed allclose_op bug, which cannot deal with some cases of fp64 inputs.
* improved CUDA kernel performance.
* Changed CUDA code.
* Fixed a bug in cuda kernel which cannot deal with large dimension input, and added an unittest for it.
* Add a test case for float32 input.
* fix multinomial doc
* fix multinomial error message
* little doc change
* fix Categorical class doc
* optimize format of error message
* fix CPU Kernel error message format
* fix isinf and isnan error in WindowsOPENBLAS CI
* delete inf and nan
* add manual_seed in sample code
* little error message change
* change error message to InvalidArgument
* add full point for error message and add manual_seed in CPU environment
* Add truncated_gaussian_random_op XPU kernel
* Add truncated_gaussian_random_op XPU kernel, test=kunlun
* little change, test=kunlun
* change boost_get to BOOST_GET_CONST
* change boost_get to BOOST_GET_CONST, test=kunlun
* little change, test=kunlun
* use Generator to generate random number and optimize format, test=kunlun
* little change, test=kunlun
* add TODO, test=kunlun
* Add gaussian_random XPU kernels
* commit kunlun, test=kunlun
* new version, test=kunlun
* change boost_get to BOOST_GET_CONST, test=kunlun
* use Generator to generate random number and optimize format, test=kunlun
* add TODO, test=kunlun
FlyingQianMM
guofei
wangxinxin08
Guo Sheng
Jack Zhou
Qi Li
cc
Wilber
LielinJiang
Chen Weihang
taixiurong
QingshuChen
tangwei12
jakpiase
liym27
Jacek Czaja
Thunderbrook
123malin
wuhuanzhou
chentianyu03
TTerror
wangchaochaohu
whs
Zhang Ting
syyxsxx
ceci3
Y_Xuan
WangXi
lijianshe02
ShenLiang
qingqing01
arlesniak
Leo Chen
Zhong Hui
Zhen Wang
joejiong
zlsh80826
procr
Shang Zhizhou
Aurelius84
furnace
Adam Osewski
lilong12
Noel
joanna.wozna.intel
wawltor
yaoxuefeng
gongweibao
Wojciech Uss
Zhou Wei
石晓伟
pangyoki
zhupengyang
YUNSHEN XIE
wangguanzhong
Guanghua Yu
Tao Luo
Double_V
Feiyu Chan
xiaoting
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TeslaZhao
Chengmo
LutaoChu
huangxu96
Kaipeng Deng