Clean allocation->Deleter

test=develop

Clean managed/umnamaged allocator

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

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
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* InferVarTypeHelper-> VarTypeInferenceHelper
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* PassInputTypeAndDTypeOnOutput
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* 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

test=develop

test=develop

* 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

test=develop

Add interpolate operator replace bilinear_interp_op and add nearest neighbor interp mode

test=develop

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
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* add get_sparse_as_op
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* add info for check
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* 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
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*  test=develop

* fix pserver weight decay multi inputs test=develop

test=develop