windows conv_fusion failed as no kernel， explicit declare lambda
Signed-off-by: Nzhaoyuchen <zhaoyuchen01@baidu.com>

* Add Asypadding for conv fusion.

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reference: pr/20042

* Fix eigen build link error

* Change back file mode

* Use math function & add more checks.

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* fix spelling errors; test=develop

* Update API.spec

update md5

* Update API.spec

* change the order of api;test=develop

1. Use CudnnWorkspaceHandle in exhaustive search of conv_cudnn.
2. For Ops using CudnnWorkspaceHandle in exhaustive search, release their GPU memory after exhaustive search.

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* make_conv_cudnn_ws_size_configurable, test=develop

* change std::max to std::min
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* Revert "set constant for loss"

This reverts commit 167933f678ccbb3563e949710279efe004a27731.

* Revert "remove workspace_handle"
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This reverts commit b4aca8ede9e685bce1dfb1c59e63919f33432572.

* remove workspace_handle
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* set constant for loss
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* Inception fusion operator.
* Support horizontal layer fusion in conv_fusion_op.
* Search conv algo strategy for variable-length input.
   search N times and cache the searched algos. For other input, choose the algo of input whose area is closest to this input.

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fix conv+elemenwise fuse bug.

* Refine conv_fusion_op for identity activation.
* Fix unit testing.
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* Convolution fusion operator.
* Clean code
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