Fix the support the float16 of scale op, add delete the raise case for fp16

* add approximation for gelu, test=develop

* add functional conv

* add test and doc for function convs, test=develop

* update ConvTransposeOp's InferShape and error message, test=develop

* add hsigmoid, row_conv in paddle.nn(functional and layer), test=develop

* fix hyperlinks in docstring

* correct reader device index, test=develop

* fix async executor scope var initialization, test=release/2.0

* Add variance computing layer for tensor

* Format input data types

* Remove unnecessary expand operation

* Some fixes in doc

add new tensor: max,min,t,eye,log1p; test=develop

Those ops add the kernel message enhancement, as follows
paddle.fluid.layers.elementwise_add	
paddle.fluid.layers.elementwise_div
paddle.fluid.layers.elementwise_floordiv
paddle.fluid.layers.elementwise_max	
paddle.fluid.layers.elementwise_min	
paddle.fluid.layers.elementwise_mod	
paddle.fluid.layers.elementwise_mul	
paddle.fluid.layers.elementwise_pow	
paddle.fluid.layers.elementwise_sub

* Fix elementwise compile error, test=develop

* split inplace_abn & batch_norm InferShape. test=develop

* fix type. test=develop

* fix message. test=develop

* fix ENFORCE. test=develop
Co-authored-by: Nzhaoyuchen <zhaoyuchen01@baidu.com>

* lod_tensor_to_array error message enhance. test=develop

* api compild program error polish, test=develop

* fix coverage problem, test=develop

* fix details & add unittests, test=develop

* add test for coverage, test=develop

* Add new API : randn

test=develop

* Add new API : randn

test=develop

* Add new API : randn

test=develop

* Add new API : randn

test=develop

* aAdd new API : randn

test=develop

* Add new API : randn

test=develop

* Add new API : randn

test=develop

* Add new API : randn

test=develop

* Add new API : randn

test=develop

* Add new API : randn

test=develop

* Add new API : randn

test=develop

* Add new API : randn

test=develop

In those ops, some api has execute run error, fix those op, and format some sample code.

raw doc: bool, float15, float32, float64, int8, int32, int64, uint8.
new doc: bool, float16, float32, float64, int8, int32, int64, uint8. 

* Add the support of bool list for assign value, test=develop

* Fix the assign op test case for bool dtype, test=develop

* Revert to usage of 'assign' in test_transformer. test=develop
Co-authored-by: Nwawltor <fangzeyang0904@hotmail.com>

* Add the support of bool list for assign value, test=develop
* Fix the assign op test case for bool dtype, test=develop

* Add new norm api, support frobenius norm and p-order vector norm. test==develop
* combine test files, add more attr checks. test=develop

* add unit accessor in fleet, support DownpourUnitAccessor
* test=develop

* add cuda kernel for seed, test=develop

* polish error message, test=develop

* error message enhance for clip_by_norm. test=develop

* fix clip_by_norm. test=develop

* fix clip error message. test=develop

* fix if logic in dygraph, test=develop

* fix bug, test=develop

* enhance error msg. test=develop

* print invalid argment

* update comment, test=develop

* fix enforce not meet specification

* fix enforce not meet specification, test=develop

* update NotFound -> OP_INOUT_CHECK: grid_sampler, kldiv_loss, spectral_norm, temporal_shift. test=develop

1. update error info of the ops (abs, acos, asin, atan, ceil, cos, exp, floor, log, pow, reciprocal, round, rsqrt, sin, sqrt, square, tanh)
2. add the unittests of the above refered ops (test error info)

API(has_inf, has_nan, cumsum, fsp_matrix, increment) error message enhancement, test=develop (#23769)

* API(argsort, argmax, argmin, cast, diag) add error message，and the same time add the test cases for those apis.

* add elementwise pool2d, prelu, shuffle channel
test=develop

* add scale and refine concat eltwise conveter
test=develop

* refine elementwise converter
test=develop

* refine ut test and enforce error.
test=develop

* modify const cast
test=develop

This PR enhances error messages of several API/OPs:

ParallelExecutor (python && C++)
Executor (python && C++)
StaticRNN (python)
IfElse (python)
cond (python)
split_lod_tensor (python && C++)

Those ops include，scale， sum， sums，unique_with_counts，unique，
wherre， add error message and test case

Add the error raise for those cases
aassign isfinite linspace ones_like zeros_like zeros ones