Co-authored-by: NJacek Czaja <jacek.czaja@intel.com>

* Add mkldnn bfloat16 option to C-API

* Add test for bfloat16 gpu

* Change coverage test

* Repair capi_gpu test

This reverts commit 02083bda.

* Add mkldnn bfloat16 option to C-API

* Add test for bfloat16 gpu

* Change coverage test

* - Disabling inplace pass

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- Disable cycles

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 - fix

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- Enhancement to in-place

- Lint fixes

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* - Lint fixes

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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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* add dynamic plugin support.
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* change emb eltwise layernorm to math function
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* add emb eltwise layernorm
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* can run dynamic shape ernie
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* fix ci
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* add ut for trt ernie dynamic

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* refine dynamic shape c++ interface.
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* fix comments
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* fix comments
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* 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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* 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 gelu plugin

* align trt bert with gpu

* add support for fused fc with relu,

* add unittest for bert trt

* refine trt int8 for dynamic range set
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* refine trt int8
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* Add multihead fuse pass for ernie opt

* Refine softmax

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* Refine cuda kernel

* Refine cuda version

* Refine cmake

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* refine header file

* refine test case and pass
* refine comments

* Add ConvTranspose + BatchNorm fuse pass
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* Add tests for conv+bn and conv_transpose+bn passes
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* Add fc_elementwise_layernorm_fuse pass and unittest.

* Add fused_fc_elementwise_layernorm op and its GPU kernel.
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* Apply fc_elementwise_layernorm_fuse_pass to GPU inference.

* Add the setting of attrs in the definition of binary_op.
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* Add comment.

* Implement the unittest.
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* Change the unittest name of layer_norm.
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* Refine the codes related to fc op.

* Add GPU implementation for fc functor.

* Apply fc_fuse_pass in GPU inference.
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* Change the cmake for fc op.

* Change PADDLE_ENFORCE to PADDLE_ENFORCE_EQ.

* Add an attribute to set the activation type in fc_op.

* Enhance the unittest of fc_op.
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* Remove the declaration of FCOpGrad back to the header file.
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* Set default value for newly added arguments in test_fc_op.
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* Add a interface to enable cudnn for inference.

* Add cudnn_placement_pass.
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* Set the default value of cudnn_enabled_op_types to null.
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* Write the common basic class, placement_pass_base, to refine the codes.
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* Call EnableCUDNN in unittest.
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* Refine cudnn_placement_pass tester.

* Enable the testing of cudnn_placement_pass in inference's unittest.
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* Add the check of op kernels.
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* Add simplify_with_basic_ops_pass to replace dropout_op with scale_op when is_test is true.
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* Delete dropout_op directly when upscale_in_train is true.
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* Improve the debug string, adding the print of op_desc information.

* Fix the case when dropout's input x is reused as the next op's output.

* Add the pass to inference.
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* Change the log level.
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* Add unittest for inplace case.

* Add comment to explain the pass.

* Apply the pass for CPU inference.
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* Fix the typo.
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* Add the check of AttrType.
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* fix mask rcnn bug:
1. affine channel fuse (diff)
2. condition block op (memory leak)
3. merge lod tensor op (diff)
4. memroy optim (diff)
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* fix ci aboud PADDLE_ENFOCE
fix merge lod infer op ut
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* add fusion_seqpool_cvm_concat test=develop

* simplify pass, test=develop

* fix code style, test=develop

* update paddle-trt for:
    1. fix bug: when batch > 2, core in split plugin.
    2. add leaky_relu trt5.0 support (yolov3 from 65ms to 42ms.)
    3. add new attr to dropout.
    4. shuffle channel, swish, relu6 support
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* 1. fix ci
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