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https://github.com/zebrajr/pytorch.git
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8286ce1e3a
Summary: Closes https://github.com/caffe2/caffe2/pull/1260 Differential Revision: D5906739 Pulled By: Yangqing fbshipit-source-id: e482ba9ba60b5337d9165f28f7ec68d4518a0902
54 lines
1.7 KiB
Python
54 lines
1.7 KiB
Python
# Copyright (c) 2016-present, Facebook, Inc.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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##############################################################################
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## @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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