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Summary: The cudnn version of the DropoutOp was taking a significant (and unwarranted) amount of time in our RNN training. Further investigation showed that setting the cudnn dropout descriptors was an extremely expensive operation (https://pxl.cl/99nT), much more so than the dropout operation itself. This diff adds to the DropoutCell the option to disable cudnn. The non-cudnn version uses a raw curand call that elides all of the expensive descriptor setting. Reviewed By: jmp84, akyrola Differential Revision: D5972022 fbshipit-source-id: 6325ec5d6569f8b94d776cbb2554cc8ddb28f699
33 lines
1.2 KiB
Python
33 lines
1.2 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 dropout
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# Module caffe2.python.helpers.dropout
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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 dropout(model, blob_in, blob_out, use_cudnn=False, **kwargs):
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"""dropout"""
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if use_cudnn:
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kwargs['engine'] = 'CUDNN'
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else:
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kwargs['engine'] = 'DEFAULT'
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assert 'is_test' in kwargs, "Argument 'is_test' is required"
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return model.net.Dropout(
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blob_in, [blob_out, "_" + blob_out + "_mask"], **kwargs)[0]
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