* fix inference on gpu out of mem

the transfer logic in operator.cc will keep creating new scopes.

* add is_test to pooling and activations

add prop_kind support for layers activation. conv and pooling

add a pass that sets is_test to true

add transpiler version of is_test pass

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* patch test and pass

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* add pass to analyzer.h

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* add is_test attr description & pass only on mkldnn

in:
activation_op.cc
batch_norm_op.cc
conv_op.cc
dropout_op.cc
lrn_op.cc
pool_op.cc
sequence_pool_op.cc
softmax_op.cc

* fix is_test handling for activation pool and conv

* change description of is_test for all layers again

* remove GetAttr(use_mkldnn) from pass

* rename correct_mkldnn_test_phase to is_test

and remove dependency on MKLDNN
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* review fix magic number

* two if(..)s into one

* Check is_test once and pass mkldnn forward prop kind

* dereference shared_ptr with * (without get())

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* add is_test_pass back

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* add_infer_var_type
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* InferVarTypeHelper-> VarTypeInferenceHelper
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* PassInputTypeAndDTypeOnOutput
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* follow comment
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* 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

* fix input<tensor>
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* fix split_ids
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* ElementwiseMul should not support SelectedRows

* fix scale op
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* change GetTensorFromVar() method to GetTensorOrSelectedRowsFromVar()

* fix operator

* refine MultiOutput

* fix MultiOutput
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* disable test_dist_save_load
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* 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.
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* elementwise doesn't support selected_rows

* fix regularizer

* remove extract_rows_as
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* fix ci
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* add test for sum_op

* fix regularizer
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*  test=develop

* fix pserver weight decay multi inputs test=develop

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Fix code to support cpplint syntax check

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Dry run tests will skip `Op.Run` and just perform job scheduling. It helps to analysis dead lock in PE.

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This reverts commit ce7d9b07.

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

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