* MKLDNN v1.0 rebase to Paddle 1.6
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* Add hacky paddle::string::to_string() implementation

* vectorize<int64-t>() -> vectorize() cleanup
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* PADDLE_ENFORCE and void_cast fixes
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* Rebase changes
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* Cosmetics
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* Delete MKL from mkldnn.cmake
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* CMake debug commands
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* Delete MKLDNN_VERBOSE and rebase fixes
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* Rebase fixes
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* Temporarily disable int8 resnet101 vgg16 and vgg19 tests
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* Add libmkldnn.so.1 to python setup
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* Add libmkldnn.so.1 to inference_lib cmake after rebase
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* Post rebase fixes + FC int8 changes
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* Fix LRN NHWC
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* Fix NHWC conv3d
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* Windows build fix + next conv3d fix
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* Fix conv2d on AVX2 machines
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cudaStreamSynchronize randomly hang when used in multi-thread environment, replace it with cudaStreamQuery API on windows

* Improve topk performance.

give 200000 data to compute topk,
before opt: cost 1s
after opt: cost 0.0028s.

* Refine return value.
* Add cuda util funtions.
* Fix ComputeBlockSize bug & refine comments.
Signed-off-by: Nzhaoyuchen <zhaoyuchen01@baidu.com>

* refine reallocate of workspace size, test=develop

* add lock to cudnn handle calls, test=develop

TemporaryAllocator is a singleton used for allocating memory for Cudnn. Since it is a singleton, we can delete it for better performance in memory.

We replace TemporaryAllocator by CUDADeviceContextAllocator and CUDADeviceContextAllocation, which uses stream callback to delete the memory allocated for the stream to avoid singleton.

Also added data_feed_proto to operator to fix CI in CPU compilation

Polish fleet API to support cuda collective mode and nccl2 mode

* add config.SetMkldnnCacheCapacity api for mkldnn cache clear strategy

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* enhance MkldnnPostReset

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* add comments for mkldnn_cache_capacity field

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* add mkldnn shapeblob cache clear strategy

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* refine with comments

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* make cache clear strategy more safey

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* add lock for GetShapeBlobSize

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* rename mkldnn set/get_cur_thread_id() to set/get_cur_mkldnn_session_id()

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* update session id definition and adjust logic for default behavior

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* reset logic in mkldnn reuse as most of cases work in default.

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* remove nccl dep when the number of GPU is 1
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* remove attribute in Allocator::Allocate, test=develop

* fix travis ci error, test=develop

* fix cuda/cudnn version detection error, test=develop

* fix again, test=develop

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* Support Sync Batch Norm.
* Note, do not enable it in one device.

Usage:

build_strategy = fluid.BuildStrategy()
build_strategy.sync_batch_norm = True
binary = fluid.compiler.CompiledProgram(tp).with_data_parallel(
        loss_name=loss_mean.name,
        build_strategy=build_strategy)

reason: dereferencing smart pointer is the same as the underlying pointer
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This reverts commit 064512aa.

* remove workspace_handle in conv2d_cudnn
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* remove workspace_handle
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* fix bug
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* make test_conv2d_op SERIAL
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* save memory in conv_cudnn
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* enhance thread safety
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* enhance temporary allocator
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* Add excess fraction
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* follow comments
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* fix bug and code refine
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* fix memory size check
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* rename reuse_tmp_allocation_excess_fraction
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* refine tensor
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* refine tensor
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* fix device_context log
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* Add Temporal Allocator

* add Temporay Allocator to DeviceContext
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* code refine
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* fix mean_iou
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* Add DeviceTemporaryAllocator
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* fix conv_op bug
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* small fix
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* code refine
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* log refine
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* fix unit test
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* move double check

* refine concat_and_split
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* add limit_of_temporary_allocation
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* fix name
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