* 2022-04-28

* 2022-05-04

* 2022-05-05_V1

* 2022-05-05_V1

* Update loss.py

* Update loss.py

* 2022-06-01_hook

* 2022-06-05

* 2022-06-07

* 2022-06-07_V2

* 2022-06-07_V2

* 2022-06-17_codestyle

* 'triplet_margin_loss'

* 'test_file_corret'

* '2022_03_27'

* 2022_04_05

* 2022-04-17_1

* 2022-04-17

* 2022-04-17_2

* 2022-04-25

* 2022-05-02_V1

* 2022-05-06_V1

* 2022-05-07_V1

* Update loss.py

* Update loss.py

* Update loss.py

* Update loss.py

* Update loss.py

* Update loss.py

* Update loss.py

* Update loss.py

* Update loss.py

* Update test_triplet_margin_loss.py

* Update loss.py

* 2022-06-01_pre-commit

* 2022-06-05

* 2022-06-06

* 2022-06-06

* code_style_check

* code_style_check

* Update loss.py

* 2022-06-07_V2

* Update loss.py

* Update loss.py

* Replace np.bool/np.bool8 with np.bool_

* Replace np.object with np.object_

* Replace np.complex with np.complex128

* Replace np.float with np.float64

* Replace np.int with np.int_

* Rerun pre-commit for newer pre-commit configuration

* Use builtin bool instead of np.bool_ based on the context

* 'TripletMarginDistanceLoss'

* 'test_file'

* '2022_03_27'

* 2022-03-31

* 2022-04-05

* 2

* 2022-04-17

* 2022-04-17_2

* 2022-04-17_3

* 2022-04-17_4

* 2022-04-25

* 2022-05-02_V1

* 2022-05-06_V1

* 2022-05-07_V1

* Update loss.py

* Update loss.py

* Update loss.py

* Update loss.py

* Update loss.py

* Update loss.py

* Update loss.py

* Update loss.py

* Update loss.py

* Update loss.py

* 2022-06-01_pre-commit

* 2022-06-05

* 2022-06-06

* 2022-06-07

* 2022-06-07_V2

【Hackathon No.17】为 Paddle 新增 paddle.nn.CosineEmbeddingLoss 和 paddle.nn.functional.cosine_embedding_loss API (#41680)

* add cosine embedding loss API

* new version

* new version

* new version

* set label to int32

* new version

* new version-test

* new version

* new version

* new version

* new version

* new version

* new version

* new version

* new version

* new version

* new version

* new version

* new version

* new version

* new version

* new version

* new version

* aligning to Chinese document

* add name parameter

* activate CI

* fix format error

* unit test code format

* format code

* Update creation.py

* Update search.py

* Update search.py

* Update xavier.py

* Update xavier.py

* Update pooling.py

* Update pooling.py

* Update pooling.py

* Update search.py

* use yapf to format all python file

* yapf exclude two unittests file for they rely on writing and reading file, and format will break them

* disable diff_py_file because too many diff files cause command following failed

* polish append op using

* fix var error

* fix group norm impl

* rrelu逻辑部分

* unregistered op kernel (unresolved)

* commit before merge

* 丰富测试用例

* 修复rrelu-sig的bug

* 修复cpu环境测试

* 修改拼写错误

* 修改code format

* 尝试优化测试用例timeout的问题

* 优化测试用例

* 移除seed, 优化随机函数

* update en doc for rrelu

* fix rrelu en docs, test=document_fix

* add paper link for en docs, test=document_fix

* udpate en doc

* add r,test=document_fix

test=document_fix

* fix collections.Sequence in python3.10

* fix format

* 增加PixelUnshuffle的形状推断

* 增加PixelUnshuffle的算子注册

* 增加PixelUnshuffle及其梯度的核函数

* 增加PixelUnshuffle算子的描述

* 增加PixelUnshuffle算子的签名

* 在Python层面增加PixelUnshuffle

* 增加PixelUnshuffle的单测

* Update test_pixel_unshuffle.py

* test=document_fix

* Update test_pixel_unshuffle.py

增加对extra_repr的测试

* 修正代码格式

* Update test_pixel_unshuffle.py

修正对extra_repr的测试

* 修改pixel_unshuffle核函数的实现位置

* 修正代码格式

* 完善对输入的检查

* Update test_pixel_unshuffle.py

* 完善pixel_unshuffle的输入检查

* Update pixel_unshuffle_op.cc

* Update unary.cc

* add pixel_unshuffle

* Update test_pixel_unshuffle.py

* Update vision.py

* 调整代码格式

* Update vision.py

* Delete extra spaces

* Update pixel_unshuffle_sig.cc

* Update vision.py

* Update vision.py

* add PixelUnshuffleGradInferMeta

* remove PixelUnshuffleOpArgumentMapping

* Update pixel_unshuffle_op.cc

* 调整pixel_unshuffle及其梯度的核函数的实现位置

* Update pixel_unshuffle_op.cc

* Add infermeta for ChannelShuffle

* Create channel_shuffle_grad_kernel.h

* Create channel_shuffle_kernel.h

* Create channel_shuffle_sig.cc

* Create channel_shuffle_op.cc

ChannelShuffle算子的描述

* Create channel_shuffle_kernel_impl.h

ChannelShuffle核函数的实现

* Create channel_shuffle_grad_kernel_impl.h

ChannelShuffle反向核函数的实现

* Add kernel register of channel shuffle and grad

注册ChannelShuffle及其反向的核函数

* add nn.functional.channel_shuffle

* add nn.ChannelShuffle

* Create test_channel_shuffle.py

* Update example of ChannelShuffle in vision.py

* Update test_channel_shuffle.py

* 修改channel_shuffle核函数的实现位置

* 修正代码格式

* 删除多余空格

* 完善channel_shuffle的错误检查

* Update unary.cc

* Update channel_shuffle_op.cc

* Update test_channel_shuffle.py

* Update unary.cc

* add channel_shuffle

* Update test_channel_shuffle.py

* Update vision.py

* 调整代码格式

* Update channel_shuffle_sig.cc

* 更新ChannelShuffle的文档

* 更新channel_shuffle的文档

* remove ChannelShuffleOpArgumentMapping

* add ChannelShuffleGradInferMeta

* Update channel_shuffle_op.cc

* 调整channel_shuffle及其梯度的核函数的位置

* Hackathon 23

* fix bug

* fix pylint error

* try

* fix CI-Coverage

* update and add more unittest

* update

* update

* add conv yaml

* add backward

* remove useless code

* fix bug

* fix bug

* revert fluid dygraph conv2d

* remove useless infermeta function

* fix meta fn deluplicat error

* conv using custom impl

* remove amp include

* fix bug

* use final op in maskrcnn and hrnet

* refine
Co-authored-by: Nphlrain <phliuhongyu@126.com>

* 1. add the python api grad 2. add final and intermediate state vlog 3. change the python_api error logic

* add python api or close the check_eager=True

* fix the compatibility

* Fix rnn, wmt16 docs;test=document_fix

* Fix wmt14 docs;test=document_fix

* Add more description;test=document_fix

* fix fold python examples, test=develop

* fix size type, test=develop

* fix python example, test=develop

* fix fold shape check

* fix fold dygraph mode, test=develop

* fix maxunpool2d example, test=document_fix

* fix maxunpool2d example, test=document_fix

* fix 'invalid escape sequence'

* fix assert error

* fix 'is with a literal'

* fix typo

* Rearranged Eager AutoCodeGen directory structure

* Removed USE_OP in Eager AutoCodeGen

* Enabled generation for Operators without Grad/Inputs/Outputs

* Resolved operators without input

* Fixed merge conflicts

* Enabled Eager AutoCodeGen for 10+ more operators

* Refactored Eager AutoCodeGen with more organized helper objects

* Enabled Eager AutoCodeGen for operators with multiple OpBases

* Adjusted Eager AutoCodeGen to Enable Passing Output Tensor as Input Argument

* Handled Dispensable Inputs/Outputs in Eager AutoCodeGen

* Adjusted function generation/call between Python-C API & Dygraph API

* Synchronized auto-generated Python-C API with Dygraph Forward Functions

* support more eager tensor api

* fix merge compile error

* fix compile error and fit develop code

* support pure CPU

* fix some logic error in eager_mode

* support _varbase_creator in eager mode

* Added safe_initialized interface to EagerTensor for use in processing dispensable inputs

* for eager mode

* refine

* support multiple constructor for eager tensor

* add place related code

* polish code

* specific randint with dtype of int64

* Support pure cpu test

* eager logic

* refine test in pure cpu

* eager logic

* eager logic

* eager logic, test=develop

* skip core.eager when in inference, test=develop

* refine, test=develop

* refine, test=develop

* call RetainGrad after run forward kernel, test=develop

* refine, test=develop

* support dygraph util, meta, guard test

* eager test case

* support inference test

* refine test and fix initializer failed

* modify eagertensor patch method

* add eagertensor.clear_grandint, test=develop

* refine, test=develop

* refine, test=develop

* refine, test=develop

* support create varbase and fix retain grad error

* call monkey_patch_varbase in _test_eager_guard, test=develop

* fix windows error

* split clear_gradient to clear_gradient and zero_grads, test=develop

* refine, test=develop

* refine, test=develop

* support test_imperative_basic test in eager mode

* remove additional log in variable.h

* remove additional log in variable.h

* remove additional code create in merge

* eager

* fix some eager logic, test=develop

* refine, test=develop

* refine, test=develop

* refine, test=develop

* patch_tensor_method_func, test=develop

* refine, test=develop

* eager test case, test=develop

* refine, test=develop

* eager, test=develop

* eager, test=develop

* eager optimizer, test=develop

* eager optimizer, test=develop

* eager test_imperative_optimizer_v2, test=develop

* eager, test=develop

* refine, test=develop

* refine, test=develop

* eager, test=develop

* add resize in share buffer to, test=develop

* eager, test=develop

* fix _share_buffer_to, test=develop

* refine, test=develop

* refine, test=develop

* support eager for dataloader,test=develop
Co-authored-by: Njim19930609 <jim19930609@gmail.com>
Co-authored-by: NJiabinYang <360788950@qq.com>

* support 5d for nearest

* update nearest3d unittest, test=develop

* fix approve ci, test=develop

* fix approve ci, test=develop

* add maxunpool3d op

* update doc for maxunpool3d op

* update doc for maxunpool3d op

* update doc for maxunpool3d op

* update sample code for maxunpool3d

* add maxunpool1d op

* update some code for maxunpool1d

* add mish operator and api

* remove redundant code and modify grad_atol of mish unittest

* modify mish code to be consistent with other activation implementation

* add fold opereators, test=develop

* add fold opereators, test=develop

* add fold opereators, test=develop

* update fold op error test, test=develop

* fix unitext, test=develop

* fix unitext, test=develop

* add hinge_embedding_loss

* fix test_API

* test_API succeed

* add English doc

* fixed using of expired fluid api

* fix doc

* fix doc and rm python/paddle/fluid/layers/loss.py

* get raw python/paddle/fluid/layers/loss.py back

* fix Examples bug in English doc

* unique -> flatten

* fix api code

* fix English doc

* fix functional loss English doc

* fix Example doc

* .numpy() -> paddle.unique()

* fix unique

* fix label_item_set

* modified judgment equation

* Got a beautiful loss equation

* use paddle.to_tensor

* fix loss and add static check

* fix loss and add static check

* delta -> margin

* promote to v2

* alter

* add maxunpool2d in __all__

* fix MaxUnPool2D example

* support data_format='NHWC' for prelu channel mode

* add zeropad2d v0.1

* add zeropad2d v0.2

* add zeropad2d v0.3

* add zeropad2d v0.3

* add zeropad2d v0.3

* add zeropad2d v0.4

* add zeropad2d v0.5

* add zeropad2d v0.5 codestyle

* add zeropad2d v0.5 codestyle

* add zeropad2d v0.6 functional

* add zeropad2d v0.6 functional

* add zeropad2d v0.6 functional

* Revert "Align CTC grad scale same with ESPNet (#34729)"

This reverts commit 10f9644c.

* ctc grad compute on gpu

功能：本PR的目标是提高attention模块的计算性能。
为了减少框架层对op的调度开销，本PR通过在C++层手动实现attention模块，对外提供attention 大op；
为了减少防存开销，本PR采取了两种优化方法：
（1）在q,k,v计算时通过共享输入X，将该处的gemm，transpose和bias add从三次调用减少为一次；
（2）使用kernel融合优化技术，在不同cuda kernel之间通过寄存器传输数据；

功能：本PR的目标是提高attention模块的计算性能。
为了减少框架层对op的调度开销，本PR通过在C++层手动实现attention模块，对外提供attention 大op；
为了减少防存开销，本PR采取了两种优化方法：
（1）在q,k,v计算时通过共享输入X，将该处的gemm，transpose和bias add从三次调用减少为一次；
（2）使用kernel融合优化技术，在不同cuda kernel之间通过寄存器传输数据；