5 Commits (3c8daa9b894db03d7c98975eaaeeeefa66614c02)

Author	SHA1	Message	Date
LielinJiang	ffcb6537c5	Add uncombined_weight_to_state_dict api (#25649) ... * add uncombined_weight_to_state_dict API	6 years ago
qingqing01	af74675b5a	Remove paddle.incubate.hapi.loss and reuse paddle.nn.layer.loss in high level API (#25590) ... * Remove paddle.incubate.hapi.loss and reuse the paddle.nn.layer.loss in high level API	6 years ago
qingqing01	b5f8784cab	Refine Model of high level API (#25559) ... * Refine Model 1. Take the network (instance of Layer) as the input of Model. 2. Refine set_dict/load_dict of Layer. 3. Refine Input interface, so update code sample about Input	6 years ago
Guo Sheng	aa02e347bd	Add hapi.text and corresponding unit test. (#24457) ... * Add hapi.text and corresponding unit test. test=develop * Remove hapi.text apis' reuse parameter args for coverage. test=develop * Fix TransformerCell and TransformerBeamSearchDecoder example codes. test=develop * Fix example codes in hapi.text. test=develop * Add some apis in hapi.text into example code white list. test=develop * Fix example code of DynamicDecode in hapi.text. text=develop * Rename Model.self as model in test_text.py test=develop	6 years ago
qingqing01	43625bdabd	Add a high-level API with traning and inference into Paddle. (#24293) ... * Merge hapi into Paddle Hapi is a high level API for training and inference. The main modules include Model, Loss, Metrics, Dataset. Also includes common modules and models in NLP and computer vision, such as BERT, ResNet. These modules are developed by: 0YuanZhang0, guoshengCS heavengate, LielinJiang, qingqing01, xyzhou-puck huangjun12, wangxiao1021, zhangyang.	6 years ago