MKLDNN conv + elementwise_add fusion: some refactoring: consts, function calls instead of constant values

MKLDNN conv + elementwise_add fusion: graph is corrected based on actual argument name, not formal argument name

MKLDNN conv + elementwise_add fusion: output and elemwise param share data in conv primitive. Output is properly allocated

MKLDNN conv + elementwise_add fusion: inputs in pass modified. Support for new conv parameter. UTs corrected

MKLDNN conv + elementwise_add fusion: added reachability tests, inputs and outputs in graph nodes are transformed

MKLDNN conv + elementwise_add fusion: implementation of patterns refarctored, applied to graph. UTs added

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This patch also refactors conv+bn (includes changes from PR
https://github.com/PaddlePaddle/Paddle/pull/13926)
updated to use the mkldnn-placement-pass.

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After the MKL-DNN placement pass there is no need to enable MKL-DNN
in operators via executor

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* add detect and end2end code

* update the scale for coodinates restore

* fix merge bug with dev.

* fix merge bug with dev.

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* fix code style test=develop

* fix code style test=develop

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* add MKL-DNN placement pass

This patch also refactors conv+bn (includes changes from PR
https://github.com/PaddlePaddle/Paddle/pull/13926)
updated to use the mkldnn-placement-pass.

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* remove redundant pass list

* add comment on the default first pass

* fix test for conv+relu mkldnn fuse

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* fix conv doc
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* fix seq_conv doc
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* fix simple_img_conv_pool
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* update API.spec

* update parameter doc
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* follow comment
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* fix other layer
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* fix lstm bias_attr doc
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This adds a `TODO` comment according to https://github.com/PaddlePaddle/Paddle/issues/13550#issuecomment-430133585

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Add grpc error context

* Add affine channel op.
* Update code and add Python API.
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* Update API.spec
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