* update save_inference_model for hapi
* update save_inference_model to support dygraph
* fix comments
* fix comments
* test=develop
* test, test=develop
* fix dim test, test=develop
* test, test=develop
* add test_export_deploy_model_dynamic
* fix unittest for hapi: save_inference_model
* fix code style
* accept review by guoshengCS
* fix coverage rate
* update doc for save_inference_model and copyright
* change test model back to LeNet() in test_export_deploy_model
* copy jit.save, use LeNet() to test export deploy model
* add return value for dygraph, and fix doc error
* corrected the doc writing
* Delete redundant import and correct import order in sample code.
* remove 'fluid' and add prepare() and fit() in sample code
* correct usage of API 2.0 in sample code
* fix sample code bugs
* fix code style bugs
* fix test_model.py bugs
* set for_inference=True
* correct usage for static.InputSpec
* update doc for model.save
* correct usage of API 2.0
* rename param name for model.save
* correct for_inference as training
* optimized transformation form tensor to numpy, test=develop
* optimized transformation form tensor to numpy, pass pre-commit, test=develop
* modify fetchophandle zerocopy to deepcopy in PE&CUP, test=develop
* modify py:array construct, test=develop
* fix _fetch_var to use deep copy, test=develop
* Enhance affine grid operator:
1. Add cuda kernel
2. Add align corners options
test=develop
* Move new affine_grid api to functional
test=develop
* Add CUDA kernel for affine_grid.
test=develop
* Add more unitest for grid sample API
test=develop
* add pool2d3d API,test=develop
* add api unitest,test=develop
* fix unittest, test=develop
* fix reviews, test=develop
* return one element when return indices is true, test=develop
* fix low converage; to_variable to to_tensor, test=develop
* sort API params, test=develop
* fix en doc, merge PR#26108 to here, test=develop
* fix en doc, test=develop
* Reconstruct all API related to lr scheduler, unify dygraph and static
* Reconstruct all API related to lr scheduler, unify dygraph and static
* fix doc
* fix doc
* fix doc of lr_scheduler
* fix unittest and english doc
* fix english doc
* fix confilt
* fix doc
This PR enhance CPU kernel and add new CUDA kernel to make grid_sample support:
- align_corners: with bool type.
- padding mode: which can be in ['zeros', 'reflect', 'border']
- Interpolation mode: which ca be in ['bilinear', 'nearest']
The old CPU and CUDNN version only support align_corners=true, padding_mode='zeros' and interpolation_mode='bilinear'.
The behavior of the new version op in default mode is compatible with the old version.
* Add MultiHeadAttention api.
test=develop
* Add MultiHeadAttention cache type and gen_cache.
test=develop
* Add TransformerEncoderLayer and TransformerEncoder.
test=develop
* Add Transformer decoder apis.
test=develop
* Add Transformer api.
test=develop
* add unittests for transformer api
* add unittests for transformer api
* Fix some bugs in Transformer apis.
test=develop
* add unittests for encoder, decoder and transformer
* clean conflicts infor in code
* clean Chinese comments
* Add TransformerDecoderCell and TransformerBeamSearchDecoder.
test=develop
* Remove TransformerDecoderCell and TransformerBeamSearchDecoder temporarily.
test=develop
* Add import for Transformer apis.
test=develop
* Update usage of weight_attr and Tensor in Transformer api docs.
test=develop
* Update Transformer apis by renaming MultiheadAttention and cal_kv according to comments.
test=develop
* Fix MultiHeadAttention in test_transformer_api.py.
test=develop
Co-authored-by: LiuChiaChi <709153940@qq.com>
* add alpha_dropout in nn.functional and nn.layer, test=develop
* refine Interface and assertion, test=develop
* fix ci import error, test=develop
* fix alias and use layers.scale, test=develop
* fix doc and training params, test=develop
* refine details in doc, test=develop
* fix doc details, test=develop
* [API2.0] add dropout, dropout2d and dropout3d, test=develop
* refine Interface and assertion after review, test=develop
* fix alias p=1 and use scale, test=develop
* fix doc and training, test=develop
* fix doc in Dropout2D, test=develop
* support Baidu AI Accelerator
* test=kunlun
* minor
* test=kunlun
* support xpu op in separate file
* test=kunlun
* update XPU error message and remove duplicated code
* test=kunlun
* minor
* test=kunlun
* minor
* test=kunlun
* add cross_entropy to nn/layer and nn/functional, test=develop
* use functional/cross_entropy in layer/CrossEntropy
* use functional/cross_entropy in layer/CrossEntropy, test=develop
* fixed static module
* solve conflict
* Add Distribution base class, Uniform class and Normal class
* release Distribution class and Normal, Uniform class
* Add Doc args explaination
* save distributions.py and process in distribution.py
* delete useless function in test_distribution
* Add NormalNumpy test class
* Add probs in NormalNumpy
* add distribution to paddle init
* Add Distribution base class and name attribute unittest
* Change Doc
* Change Doc
* adjust format
* Fixed Doc Code
* implement probs and change Variable to Tensor
* Add name for all functions and add name unittest
* support int datatype
* Add dynamic mode
* optimize test_distribution static and dygraph
* add input.py file
* write input.py
* fix init file
* add unit tests
* fix dygraph and input shape
* Revert "fix dygraph and input shape"
This reverts commit 89ad8664124c1872640b68c0a4418c377ad6aa6f.
* fixed pylint
* fix deprecated
* fix old op
* fix old op
* set check_dygraph=True
* Revert "set check_dygraph=True"
This reverts commit a8e93e33281f84e5f6fbc2b4bf05ea3e63611519.
* test commit
* fix doc and change test file name
* add pad func
* add pad
* test=develop, add pad op and apis
* restore pad2d
* test=develop, fix paddl declare
* fix pad interface
* test=develop, fix pad
* test=develop, add all pad api and cos_sim
* test=develop, remove padding default value
* test=develop, rename var to tensor
* test=develop, add more tests
* test=develop, rename tovar to totensor
* test=develop, fix init
* test=develop, add more test
* test=develop, add more tests
* Conv2d_transpose and mul support channnelwise quantization, test=develop
* Skip collecting out threshold for output tensor of which the type is not fp32 or fp64, test=develop
* Fix error in test_user_defined_quantization, test=develop
* Add depthwise_conv_bn_fuse, test=develop
* Add conv_transpose_bn_fuse_pass for post_training_quant, test=develop
hong19860320
Qi Li
Zhou Wei
wawltor
LiuChiachi
joejiong
gongweibao
Dong Daxiang
Zhang Ting
zhang wenhui
YUNSHEN XIE
Huihuang Zheng
wanghuancoder
zhupengyang
wangchaochaohu
whs
ruri
guofei
WangXi
yukavio
Double_V
qingqing01
ceci3
Kaipeng Deng
yaoxuefeng
cc
Guo Sheng
Bai Yifan
Zhong Hui
ShenLiang
Li Fuchen
Jack Zhou
huangjun12
MRXLT
LielinJiang
Zhen Wang
liuyuhui
LutaoChu
ShenLiang
lilong12
Leo Chen
littletomatodonkey
QingshuChen
donproc
mapingshuo
chajchaj
Chen Weihang
pangyoki
Yang Zhang
tangwei12
Pei Yang
Chengmo
Peihan
Aurelius84
liym27
123malin
WuHaobo
Guanghua Yu
lijianshe02
Tao Luo
GaoWei8
Wilber
Sylwester Fraczek