[Cherry-pick 2.0] Error message enhancement of conv2d_fusion and bugfix related to control nodes detecttion in fusion_group (#23985)

* Op(conv2d_fusion) error message enhancement. (#23596)
* Fix the error misjudgment when there are control nodes in graph. (#23943)

* correct reader device index, test=develop

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

* 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 three passes and api reference of paddle_pass_builder.h

* Op-requant squash

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* Add matmul to op-requant test

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* 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
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* Remove ngraph from:
1. Cmake file
2. Python file
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* Integrate matmul with cpu_quantize_pass

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* Add matmul checking scales

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* Change condition of matmul quantization

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* Remove redundant var

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* fix inplace_abn windows compile error. test=develop

* add inplace_abn_op. test=develop

* add attr support for fusion group and add support for fill_constant and scale Op

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* sequential reader stage 1, test=develop

* fix ut, test=develop

* fix iterable=False reset bug, add some logs and polish code, test=develop

* inference feed partial data, test=develop

* Turn on keep_order=True for test, test=develop

* enhance ut to test more cases, test=develop

* test commit for reverting

* Revert "test commit for reverting", test=develop

This reverts commit 80aef42e.

* add ut of merged and unmerged results, test=develop

* add more uts for coverages and add en doc of api, test=develop

* follow comments, test=develop

* change note style, test=develop

update embedding_eltwise_layernorm fuse pass and fused kernel, to support multi input

* add fusion group test for backward and refine code

* add support for expression type convert and add cast Op support in fusion group

* add skip_layernorm pass. test=develop

* 1. add embedding eltwise layernorm fuse
2. add embedding eltwise layernorm op
3. refine inplace_add_relu
4. refine fc_eltwise_layernorm
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* 1. refine fc
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* fix comments
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* fix comments

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* fix fc padding during fusion, test=develop

* fix optim model inference after SaveOptimModel, test=develop

* Add the codegen and auto fusion for sum Op  in fusion group

* Add an interface of disabling FC padding
* fix bert regression
* polish fc padding interface
* recover pass function
* fix argument error
* fix mkldnn error

当一个模型中有多个fc_lstm子图的时候，且其中fc共用了同一个persistable的bias，此时不应该将bias节点删除，只将非persistable的节点去除即可。

* 1. optim multihead matmul: fuse three fc to multihtead matmul

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* fix conflict
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* fix comments
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* Add the first implememtation of fusion_group op #19621 (#3)

* Add the dynamic load of nvrtc, and support runtime compiling of CUDA kernel using nvrtc.
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* Call CUDA driver api to launch the kernel compiled by nvrtc.
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* Disable for mac and windows.
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* Refine the codes to support manually specified num_threads and workload_per_thread.
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* Refine the CUDA kernel to support large dims.
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* Add DeviceCodePool to manage all device codes.

* Add the first implementation fusion_group op.

* Add unit-test for fusion_group op.

* Add the check of result.

* Add the check of nvrtc in unit-test.
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* Add comment to explain the inputs, outputs and features of fusion_group op.
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* Disable fusion_group op for mac and windows.
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* Make the compiling of device code return status instead of hanging up.
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* Add the check of whether there is CUDA driver library, and do not core dump when failing to call the CUDA driver API.

* Unify fusion_group_op's input and output names.
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* Add the check of CUDA driver library in unittest.
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* Enable generating code for a given subgraph. #21126 (#4)

* Enable generating code for a given subgraph.

* Support sorting the subgraph.

* Remove the rearange of expressions because we use the sorted subgraph directly.

* Enable generating code for a subgraph which is composed of grad ops.

* Use expression information to check the accuracy in unittest.

* Separate load and store from computation expressions.
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* Improve the loading statements in generated codes.
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* Remove unused arguments from formal list.
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* Enable the detection of subgraph of grad ops.

* Generate code for detected subgraph in fusion_group_pass.

* Add an option in BuildStrategy to enable fusion_group_pass and add unittest.
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* Fix a bug when checking whether the shape of all inputs are the same.

* Add debug information.

* Remove subgraph_detector from inference/analysis to the common framework/ir directory. (#5)

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* Call subgraph_detector in fusion_group pass.
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* Disable fusion_group when WITH_GPU is OFF.
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* Refine all PADDLE_ENFORCE message.
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* Fix the case that some inputs are not defined in grad ops, and set op_role for fused op.
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* Follow review comments.
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