add bilinear_tensor_product layer

test=develop

Set serial for tensorrt utest and set unused logs invisible.

* Add int type support for stack_op

* Improve gather op to support index with shape N x 1

test=develop

* Fix stack_op kernel's registry

test=develop

Adding Intel nGraph build

test=develop

test=develop

test=develop

dist table support other optimize and regular config

reduce pass num of test_label_semantic_roles to avoid test timeout

test=develop

test=develop

test=develop

test=develop

skip mkldnn related pass when use_mkldnn=false to speedup analysis

Add similarity focus op

* add lod tensor array concat

* add lod tensor array concat

* test=develop

* add lod tensor array concat
test=develop

* Fix API.spec
test=develop

* add lod tensor array concat
test=develop

* revise some bug of lod tensor array concat
test=develop

* add unittest for tensor array concat
test=develop

* change to tensor array to tensor
test=develop

* revise bug
test=develop

* revise a bug
test=develop

* revise a bug
test=develop

* revise a bug of python3
test=develop

* add_infer_var_type
test=develop

* InferVarTypeHelper-> VarTypeInferenceHelper
test=develop

* PassInputTypeAndDTypeOnOutput
 test=develop

* follow comment
test=develop

fix #14344 : win compile error, EigenTenor * float unsupport. test=develop

test=develop

Change the origin VLOG level to 10 times

Change production mode Dockerfile to support python3

* exhaustive search for cuDNN conv.
* Refine code and add unit testing.
* Fix model load in fluid/inference and unit testing in conv2d
* Follow comments.
* Fix compiling test=develop

Add interpolate operator replace bilinear_interp_op and add nearest neighbor interp mode

Fea jitcode vscal vaddbias

added additional call to graph_viz_pass

fix test

Changed hardcoded format to any in convolution and bumped MKL-DNN version to 0.17rc