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Summary: cuDNN versions of dropout and LRN (for native fp16 support), port of Caffe's max pooling algo that uses an explicit mask to store locations (also supports fp16 storage) Closes https://github.com/caffe2/caffe2/pull/396 Reviewed By: akyrola Differential Revision: D4990880 Pulled By: asaadaldien fbshipit-source-id: a716acffb656843e9b31e3e6808bd2d8aa959d03
39 lines
1.0 KiB
Python
39 lines
1.0 KiB
Python
## @package pooling
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# Module caffe2.python.helpers.pooling
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## @package fc
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# Module caffe2.python.helpers.pooling
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from __future__ import absolute_import
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from __future__ import division
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from __future__ import print_function
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from __future__ import unicode_literals
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def max_pool(model, blob_in, blob_out, use_cudnn=False, order="NCHW", **kwargs):
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"""Max pooling"""
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if use_cudnn:
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kwargs['engine'] = 'CUDNN'
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return model.net.MaxPool(blob_in, blob_out, order=order, **kwargs)
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def average_pool(model, blob_in, blob_out, use_cudnn=False, order="NCHW",
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**kwargs):
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"""Average pooling"""
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if use_cudnn:
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kwargs['engine'] = 'CUDNN'
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return model.net.AveragePool(
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blob_in,
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blob_out,
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order=order,
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**kwargs
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)
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def max_pool_with_index(model, blob_in, blob_out, order="NCHW", **kwargs):
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"""Max pooling with an explicit index of max position"""
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return model.net.MaxPoolWithIndex(
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blob_in,
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[blob_out, blob_out + "_index"],
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order=order,
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**kwargs
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)[0]
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