Cherry pick add deformable roi pooling #18014
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cjt222 wants to merge 6 commits intoPaddlePaddle:release/1.5from
cjt222:cherry-pick
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Cherry pick add deformable roi pooling #18014cjt222 wants to merge 6 commits intoPaddlePaddle:release/1.5from cjt222:cherry-pick
cjt222 wants to merge 6 commits intoPaddlePaddle:release/1.5from
cjt222:cherry-pick
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* add deformable psroi pooling * test=develop * test=develop * test=develop modify format * fix bug * test=develop run ci * test=develop add API.spec * add test_layers.py * run ci again * test=develop run ci again * run ci again * test=develop run ci again * test=develop run ci again * test=develop run ci again * add space between two lines * test=develop add space between two lines * test=develop add space between lines * test=develop modify comment in nn.py * test=develop add space between two lines * test=develop add space between two lines * update API.spec * run ci again * test=develop run ci again * rerun ci * test=develop rerun ci * change input shape * run ci * test=develop run ci * modify format of nn.py * test=develop * test=develop * test=develop update API.spec * test=develop fix API doc * modify API comment * modift API comment * test=develop update API.spec * test=develop modify comment * test=develop modift comment * test=develop modift comment * test=develop update API.spec * test=develop modify comment * test=develop add inference in nn.py * test=develop update API.spec * test=develop resolve confict * test=develop update API.spec
run ci
cherry pick
test=release/1.5
resolve conflict
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add deformable roi pooling op, this is merged to develop #17827. Now cherry pick to v1.5
1、性能测试
测试环境：系统为ubuntu16.04， 显卡为v100
(1) Deformable PSROIPooling 和PSROI Pool对比
输入：
1）input为随机生成的维度为[5, 128, 64, 64]的数据
2）rois为随机生成的16个框，维度为[16, 4]，LOD分布为[4,3,2,2,5]
3）trans 为固定维度的[16, 2, 8, 8]，值全部为0.5
4）参数设置：
> no_trans=0, spatial_scale=1.0, output_channels=2,
group_size=[1,1], pooled_height=8, pooled_width=8, part_size=[4, 4],
sample_per_part=4, trans_std=0.1
(2) Deformable PSROIPooling和PSROI Pool对比
输入：
1）input为随机生成的维度为[5, 128, 64, 64]的数据
2）rois为随机生成的16个框，维度为[16, 4]，LOD分布为[4,3,2,2,5]
3）trans 为固定维度的[16, 2, 8, 8]，值全部为0.5
4）参数设置：
>no_trans=1, spatial_scale=1.0, output_channels=128,
group_size=[1,1], pooled_height=8, pooled_width=8, part_size=[4, 4],
sample_per_part=4, trans_std=0.1