51 lines
1.1 KiB
Python
51 lines
1.1 KiB
Python
# Copyright (c) 2018, NVIDIA CORPORATION. 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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#!/usr/bin/env python
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# -*- coding: utf-8 -*-
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import tensorflow as tf
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__all__ = ['relu', 'softmax', 'tanh', 'sigmoid']
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def relu(inputs, name='relu'):
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net = tf.nn.relu(inputs, name=name)
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return net
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def softmax(inputs, axis=None, name="softmax"):
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net = tf.nn.softmax(
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inputs,
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axis=axis,
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name=name,
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)
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return net
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def tanh(inputs, name='tanh'):
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net = tf.math.tanh(inputs, name=name)
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return net
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def sigmoid(inputs, name='sigmoid'):
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net = tf.math.sigmoid(inputs, name=name)
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return net
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