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- # Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved.
- #
- # Licensed under the Apache License, Version 2.0 (the "License");
- # you may not use this file except in compliance with the License.
- # You may obtain a copy of the License at
- #
- # http://www.apache.org/licenses/LICENSE-2.0
- #
- # Unless required by applicable law or agreed to in writing, software
- # distributed under the License is distributed on an "AS IS" BASIS,
- # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- # See the License for the specific language governing permissions and
- # limitations under the License.
- import paddle
- import paddle.fluid as fluid
- import numpy as np
- from paddle.fluid.layer_helper import LayerHelper
- def pact(x, name=None):
- helper = LayerHelper("pact", **locals())
- dtype = 'float32'
- init_thres = 20
- u_param_attr = fluid.ParamAttr(
- name=x.name + '_pact',
- initializer=fluid.initializer.ConstantInitializer(value=init_thres),
- regularizer=fluid.regularizer.L2Decay(0.0001),
- learning_rate=1)
- u_param = helper.create_parameter(attr=u_param_attr, shape=[1], dtype=dtype)
- x = fluid.layers.elementwise_sub(
- x, fluid.layers.relu(fluid.layers.elementwise_sub(x, u_param)))
- x = fluid.layers.elementwise_add(
- x, fluid.layers.relu(fluid.layers.elementwise_sub(-u_param, x)))
- return x
- def get_optimizer():
- return fluid.optimizer.MomentumOptimizer(0.0001, 0.9)
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