* Add bf16 support for save and load ops

* Add bf16 test condition

* Add matmul and chagne fluid.io to paddle.static

* Reduce the test duration

* add atan2_op

* fix

* Add lookup_table_v2 BF16

* Reuse lookup table UT

* Change op_type to op_version

* Remove check_dygraph

* Remove skip_check_grad_ci

* - Draft of implementation of refactoring

- compilation fix

* - Fixes after review

* - Removed unnecessary comment

* new api trunc, test=develop

* use SparseSoftmaxCrossEntropyWithLogits

* fix

* test_slice

* revert test_slice

* add backprob for npu kernel

* fix typo

* fix ut

* fix ut

* refine comments

* return softmax

* add conv3d prototxt

* Update conv3d.pbtxt

* Update conv3d.pbtxt

* 1, remove layernorm dynamic fp16; 2, let reshape out in dynamic shape

* remove useless code

add the support for the bool in compare ops

* add reduce_sum_op by add self-kernel

* set all ReduceKernel MPType for accuracy

* add float16 test script which input is integer number

* solve reduce sum float16 check_grad problem

* solve conflict and change test script for CI

* change kernel register for CI

* remove all useless template

* Add digamma_op and unittest

* add digamma_op api

* remove special DigammaCudaKernel and correct some docs

* remove unused headers

* fix api doc error

* Eliminate numerical differences of LayerNorm; fix LayerNorm Nan Bug while large data input

* fix bug while large shape of data input

* add support for trt dynamic shape flatten op

* add version restriction

* add ut input dynamic shape

* Small changes related to BF16 fusion_gru and fusion_lstm

* Correct to pass arg by value

* Add conditions to rnn op

* Correct the spelling mistake

* Improving the test with checking activation

* Trigger CI

* fix gather shape bug

* fix None

* fix topo

* fc_elementwise_layer_fuse_pass

* fc_ele_layernorm_pass

* fc_elementwise_layernorm_pass

* fc_elementwise_layernorm_pass_amend

* - Second fix

- fix

* - fix

* use PYTHON_C_API in dygraph, test=develop

* add check nan of inf for dygraph

* add unittest for dygraph

* revert error change

* support diff dataset tensor place in single process dataloader

* fix unittest failed

* - First fix to #33021