* 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

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

test=develop

the build strategy is finalized after create_passes. So future
change of build strategy has no effects.

test=develop

Fixed problem with array subscript is above array bounds in MKL-DNN jit_uni_reorder_utils.cpp:prb_simplify function

test=develop

test=develop

* fix input<tensor>
test=develop

* fix split_ids
test=develop

* ElementwiseMul should not support SelectedRows

* fix scale op
test=develop

* change GetTensorFromVar() method to GetTensorOrSelectedRowsFromVar()

* fix operator

* refine MultiOutput

* fix MultiOutput
test=develop

* disable test_dist_save_load
test=develop

* fix elementwise_op
test=develop

* add get_sparse_as_op
test=develop

* add info for check
test=develop

* rename get_sparse_as_op with extract_rows_as_op.
test=develop

* elementwise doesn't support selected_rows

* fix regularizer

* remove extract_rows_as
test=develop

* fix ci
test=develop

* add test for sum_op

* fix regularizer
test=develop

*  test=develop

* fix pserver weight decay multi inputs test=develop

test=develop

Revert "cherry picked windows patches."

Add TESTING_DEBUG_MODE to support debug info in daily CI test

fix pserver weight decay multi inputs

test=develop

test=develop

fix test_analysis_predictor

test=develop