* improve error messages of fake_quantize op. test=develop

* update the bit_length error info. test=develop

* install mpi in Dockerfile for coverage ci in xiaolvyun
* test=develop

* Remove the NGraph engine from PDPD repository
1. Each operator was removed from the operator's directory
2. Each test was removed from the unittest directory
3. The parallel executor support was removed from the PDPD
4. The CMake file was removed from the PDPD
5. The NG flags were removed from the repository
test=develop

* Remove ngraph from:
1. Cmake file
2. Python file
test=develop

* API(fluid.gridents) error message enhancement test=develop

* fix unitest failed test=develop

error message enhancement for repeated fc

fill op error message enhancement

* fix init_gflags with 'python -c', test=develop

* fix pruned_program_cache_key of Operator, test=develop

* polish api program error message, test=develop

* fix condition error, test=develop

* fix test prune error, test=develop

* fix coverage problem, test=develop

* add Conv/ConvTranspose layers in paddle.nn.layer, test=develop

* add example code in docstring, test=develop

* update unittests to work with test_runner, test=develop

* Api (fluid.data/layers.data) error message enhancement. test=develop

* API (Switch) error message enhancement. 

* fix bug: dtype of out in api isfinite is set incorrectly. The dtype should be bool. 

test=develop

Revert "[Paddle-TRT] Add hard_sigmoid and hard_swish support(support MobilenetV3) (#23536)", test=develop (#23642)

This reverts commit cdc6d4e2.

* Integrate matmul with cpu_quantize_pass

test=develop

* Add matmul checking scales

test=develop

* Change condition of matmul quantization

test=develop

* Remove redundant var

test=develop

* change the cmake and apis of lite engine, test=develop

* change the cmake of lite engine, test=develop

* OP (recurrent) error message enhancement

* Op (Scope) error message enhancement test=develop

* add hard_sigmoid trt op converter

* add hard_swish op converter and plugin. test=develop

* support no_grad atomic operating
test=develop

* rm create param api
test=develop

* refine sample code
test=develop

* clean impl
test=develop

* add full_like op. test=develop

* add dygraph support. test=develop

* increase coverage. test=develop