* Make dynamic_decode support dygraph and expose to API 2.0
test=develop
* update info about BeamSearchDecoder and dynamic_decode
* remove all APIs in paddle.text, expose BeamSearchDecoder and dynamic_decode
* update example code
* delete test_text.py, decode.py, update some doc, fix example code float64
* delete decode import from paddle.nn
* fix unittest bugs
* use dygraph.Embedding instead of nn.Embedding, add paddle.enbale_static()
* update, correct doc
* move dynamic_decode, BeamSearchDecoder API to paddle.nn
* fix code style
* update unittest param, delete import pf text.py
* set dtype of beamsearchtest float64
* update example code of BeamSearchDecoder, dynamic_decode
Co-authored-by: LiuChiaChi <709153940@qq.com>
1. support channel last in BatchNorm*d (#27875)
2. fix a bug in batch_norm_op cuda kernel by extracting ResizeToChannelFist(Last), TransToChannelFirst(Last) to operators/layer_utils.h
* modify cond while_loop to paddle.static.nn.cond
* modify crop_tensor to paddle.crop
* modify Variable to paddle.static.Variable
* remove nn.beam_search, nn.beam_search_decode, nn.gather_tree
* remove bpr_loss, center_loss, rank_loss, smooth_l1, teacher_student_sigmoid_loss, edit_distance, sampled_softmax_with_cross_entropy in nn.functional
* remove apis in nn.functional.learn_rate.py
* remove pool2d, pool3d, adaptive_pool2d, adaptive_pool3d in nn.functional
* remove apis in nn.functional.vision
* remove erf, soft_relu in nn.functional.activation
* remove apis in nn.functional.extension
* remove nn.functional.rnn
* remove hash from nn.functional.lod
* remove row_conv from nn.functional.extension
* remove one_hot, pad2d, pad_constant_like from nn.functional.common
* remove nn.gather_tree, nn.BilinearTensorProduct, nn.Pool2D, nn.Pad2D
* remove apis from optimizer.__init
* remove tensor.creation.fill_constant
* remove elementwise_mul in nn.functional.common and modify to paddle.multiply
* remove tensor.stat.reduce_mean
* remove reduce_all, reduce_any in tensor.logic
* remove apis in tensor.math
* remove apis in tensor.__init__
* remove has_inf, has_nan in tensor.search
* remove apis in framework.__init__
* remove apis in paddle.__init__
* remove apis in nn.functional.__init__
* modify removed alias apis to raw api in doc and unittests
* fix remove grid_sample bug
* modify removed alias apis to raw api in doc and unittests
* modify removed alias apis to raw api in doc and unittests
* modify removed alias apis to raw api in doc and unittests
* modify removed alias apis to raw api in doc and unittests
* modify removed alias apis to raw api in doc and unittests
* modify removed alias apis to raw api in doc and unittests
* delete alias api relastions in doc
* reserve paddle.compat, paddle.sysconfig
* remove unittest for paddle.reduce_all, paddle.reduce_any
* modify removed alias apis to raw api in doc and unittests
* recover paddle.save and paddle.load
* resolve conflicts
* fix sample code missing paddle.enable_static() bug
* fix sample code missing paddle.enable_static() bug
* fix to_string sample code error
* del the DEFINE_ALIAS of sigmoid_cross_entropy_with_logits
* del sigmoid_cross_entropy_with_logits in python/paddle/nn/functional/loss.py, test=develop
* call paddle.fluid.layers.sigmoid_cross_entropy_with_logits in bce_with_logits_loss, test=develop
* fix doc and unittest of 2.0 lr_scheduler
* fix doc of 2.0 lr_scheduler
* fix unittest
* fix english doc of lr_scheduler
* fix api name of lr scheduler
* fix api name of lr scheduler
* Add api of constant in paddle.nn.initializer
* Add api of constant in paddle.nn.initializer
* Add api of constant in paddle.nn.initializer
* Add api of constant in paddle.nn.initializer
* Add api of constant in paddle.nn.initializer
* Add api of constant in paddle.nn.initializer
* Add api of constant in paddle.nn.initializer
* fix huber_loss ans npair_loss doc and example code, test=document_fix
* remove disable_static in example code, test=document_fix
* remove huber_loss and refine npair_loss example code, test=document_fix
* remove huber_loss in functional/__init__.py, test=document_fix
* add float64 input to ctc_loss
* modified error message of warpctc
* update repo and tag of warpctc
* add test for warpctc with float64 input
* modified warpctc.cmake to make sure build always
* resolved sample code bug of warpctc
* add core.ops in warpctc dygraph
* fix a bug of test
* fix dropout bug in backward when input is 1d tensor, test=develop
* add test case and refine error message, test=develop
* refine error message, test=develop
* Add RNN related apis in paddl.nn
test=develop
* new rnn api, cell almost done
* add new progresses in rnn APIs for 2.0
* refine rnn APIs and docstrings.
* add unittets
* disable gpu tests when paddle is not compiled with cuda support
* remove unnecessary imports
* fix docstring
* add to no_sample wlist
* backport to python2 to avoid yield from
* add **kwargs, fix typos
* update docstrings for birnn
* rename argument for SimpleRNN and SimpleRNNCell, fix sample code
* add default value for initial_states in fluid.layers.birnn
Co-authored-by: guosheng <guosheng@baidu.com>
* 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
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>
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