* migrate assign xpu kernel, test=kunlun

* remove assign_value xpu, test=kunlun

* support refuse forward dygraph

* modify backward api exponential__grad yaml

* remove print code

* 当反向复用前向时进行需不需要更高阶的反向判断，如果不需要调用c++ api，需要的话则调用前向动态图生成反向节点

* fix some backward bugs

* modify the generated dygraph function name

* gather gather_grad gather_nd gaussian_random xpu to phi

* fix hard_swish inf

* skip_check_grad for mkldnn op

* 'fix code style'

* fix unittest

* pylayer set has grad with create_graph

* [OpAttr]num_rows/num_colums of eye support Tensor type

* fix attr cast with long type

* move incubate to geometric

* add paddle.geometric

* fix unittest bug

* add float16 support for segment op

* change reindex and sample neighbors flag name

* add heter graph reindex

* move sample_neighbors.py to neighbors.py

* delete khop_sampler in geometric

* delete unused code

* change sample_neighbors api input order

* fix en doc

* fix unittest

* fix unittest

* change reindex

* fix division by 0

* delete unnecessary input argument

* delete final_state

* support depthwise_conv2d ops
Co-authored-by: NZhixin Yao <zhixiny@graphcore.ai>
Co-authored-by: NZhaorui Chen <zhaoruic@graphcore.ai>

* fix duplicate name
Co-authored-by: NZhixin Yao <zhixiny@graphcore.ai>
Co-authored-by: NZhaorui Chen <zhaoruic@graphcore.ai>

* add legacy_api.yaml

* set merged_momentum inplace only

* support inplace optional<vector<tensor>>

* add dygraph_mode api

* add merged_adam yaml

* add merged_adam python api

* change testcase of merged_adam and adam

* fix import of test_merged_adam_op

* move matmul_v2 kernel of xpu from fluid to phi, test=kunlun

* fix complie bug, test=kunlun

* fix complie bug, test=kunlun

* fix complie bug, test=kunlun

* delete fill xpu op in fluid

* delete fill_constant header, test=kunlun

* fix npu header, test=kunlun

* fix bug fix

* add shape size check

* polish code

* multi -1 shape fix

* code style improve

* bug fix

* code style fix

* remove fluid kernel and activate phi kernel

* fix parameter error

* transfer mkldnn part

* modify header file path

* fix compile error

* transfer special case

* fix lod setting and special case for layout setting

* add testcase and refine code

* add temporal shift and grad *test=kunlun

* fix reduce mean grad bug *test=kunlun

* while support for python container.
It is convenient to convert more dynamic graph codes into static graphs.

* cond support python container

* 1. make select_input output shape = input[1]
2. add warning in while_loop risky assign

* fix 2 problem in GPT export:
1. a bug in while_op no_need_copy_var, which causes gpu memory leakage
2. a bug in undefined_var where the stop_gradient should be False.

* change name by code review

* format

* Add omp parallel for directives

* Revert "Add omp parallel for directives"

This reverts commit f4e4f8ddb12454018d9c1e49c074af2543659de6.

* Add #pragma omp parallel for to correct file

* Add check for _OPENMP definition

* Disable omp on gpu

* Trigger CI

* Readd check for _OPENMP definition

* Change macro disabling changes on GPU

* Improve macro readability

* [OpAttr]axis of Reverse Support Tensor type

* fix coverage

* fix unittest

* update brpc version;test=develop

* [OpAttr]min/max of Uniform_rand support Tensor type

* fix typo

* fix segment fault

* fix

* transfer memcpy_d2h from fluid to phi

* refine arg check and add comment

* fix cannot fallback to phi kernel

* fix gpu_context host alloc when tensor size = 0

* add kernel for std::vector<DenseTensor> args

* fix bugs in MemcpyD2HMultiIOKernel

* remove useless header file

* polish format

* fix typo

* add testcase for cudapinned place

* refine check condition in test

* polish error message

* polish error message

* remove header in fluid  directory

* merge memcpy_h2d and memcpy_d2h into one file, change register method to simplify implementation

* fix code style check

* [NPU] add run_program_op_npu

* add run_program_op_npu ut

* make full_like support double_max in dygraph

* fix bug

* sync_batch_norm_grad delete mean and variance