58 lines
1.5 KiB
Python
58 lines
1.5 KiB
Python
#!/usr/bin/env python
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# -*- coding: utf-8 -*-
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# ==============================================================================
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#
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# Copyright (c) 2019, 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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#
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# ==============================================================================
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import tensorflow as tf
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from model.layers.utils import _log_hparams
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__all__ = ['dense']
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def dense(
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inputs,
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units,
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use_bias=True,
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trainable=True,
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kernel_initializer=tf.variance_scaling_initializer(),
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bias_initializer=tf.zeros_initializer()
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):
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net = tf.layers.dense(
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inputs,
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units=units,
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activation=None,
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use_bias=use_bias,
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kernel_initializer=kernel_initializer,
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bias_initializer=bias_initializer,
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trainable=trainable
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)
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_log_hparams(
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classname='Dense',
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layername=net.name,
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units=units,
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use_bias=use_bias,
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trainable=trainable,
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out_shape=str(net.get_shape()),
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out_dtype=net.dtype
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)
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return net
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