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Summary: Closes https://github.com/caffe2/caffe2/pull/1260 Differential Revision: D5906739 Pulled By: Yangqing fbshipit-source-id: e482ba9ba60b5337d9165f28f7ec68d4518a0902
59 lines
1.9 KiB
Python
59 lines
1.9 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 nonlinearity
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# Module caffe2.python.helpers.nonlinearity
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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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from caffe2.python import core
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def prelu(model, blob_in, blob_out, num_channels=1, slope_init=None,
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**kwargs):
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"""PRelu"""
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slope_init = (
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slope_init if slope_init else ('ConstantFill', {'value': 0.25}))
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if model.init_params:
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slope = model.param_init_net.__getattr__(slope_init[0])(
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[],
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blob_out + '_slope',
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shape=[num_channels],
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**slope_init[1]
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)
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else:
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slope = core.ScopedBlobReference(
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blob_out + '_slope', model.param_init_net)
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model.AddParameter(slope)
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return model.net.PRelu([blob_in, slope], [blob_out])
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def relu(model, blob_in, blob_out, use_cudnn=False, order="NCHW", **kwargs):
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"""Relu."""
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if use_cudnn:
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kwargs['engine'] = 'CUDNN'
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return model.net.Relu(blob_in, blob_out, order=order, **kwargs)
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def tanh(model, blob_in, blob_out, use_cudnn=False, order="NCHW", **kwargs):
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"""Tanh."""
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if use_cudnn:
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kwargs['engine'] = 'CUDNN'
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return model.net.Tanh(blob_in, blob_out, order=order, **kwargs)
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