* 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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* Add affine grid generator.

* fix ffine grid.

* Add unitest.

* Add CPU kernel and fix unitest.

* Fix CPU kernel.

* Refine code.
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* Fix python api.
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* Update python api.
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* Fix comment.
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* Rename affine_grid_generator to affine_grid and enhence unitest.
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* Fix unitest.
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- Added rough profiling

- Profiled maxpool itself

- First draft of max seqpool optimization (is_test added)

- Added unit tests to seqpool

- Cosmetic fixes

- Fix to UT of Seq pool

Disabled grad checking for sequence max pool when is_test is set to True

-Cosmetic fix to comment

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- Fix to GPU build

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- yet another GPU fix for sequence max pool

- Fix to comment

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- Change to API of sequence_pool

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- Yet another API spec change

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avoid the default one that usually overwrites manually set ones

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* fix conv doc
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* fix seq_conv doc
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* fix simple_img_conv_pool
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* update API.spec

* update parameter doc
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* follow comment
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* fix other layer
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* fix lstm bias_attr doc
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* Add affine channel op.
* Update code and add Python API.
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* Update API.spec
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