forked from PulseFocusPlatform/PulseFocusPlatform
42 lines
1.4 KiB
Python
42 lines
1.4 KiB
Python
# Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved.
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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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import paddle
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import paddle.fluid as fluid
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import numpy as np
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from paddle.fluid.layer_helper import LayerHelper
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def pact(x, name=None):
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helper = LayerHelper("pact", **locals())
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dtype = 'float32'
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init_thres = 20
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u_param_attr = fluid.ParamAttr(
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name=x.name + '_pact',
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initializer=fluid.initializer.ConstantInitializer(value=init_thres),
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regularizer=fluid.regularizer.L2Decay(0.0001),
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learning_rate=1)
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u_param = helper.create_parameter(attr=u_param_attr, shape=[1], dtype=dtype)
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x = fluid.layers.elementwise_sub(
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x, fluid.layers.relu(fluid.layers.elementwise_sub(x, u_param)))
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x = fluid.layers.elementwise_add(
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x, fluid.layers.relu(fluid.layers.elementwise_sub(-u_param, x)))
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return x
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def get_optimizer():
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return fluid.optimizer.MomentumOptimizer(0.0001, 0.9)
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