mirror of
https://github.com/google-deepmind/deepmind-research.git
synced 2025-12-10 15:00:43 +08:00
34 lines
1.2 KiB
Python
34 lines
1.2 KiB
Python
# Copyright 2019 DeepMind Technologies Limited
|
|
#
|
|
# 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.
|
|
"""Class for predicting Accessible Surface Area."""
|
|
|
|
import tensorflow as tf # pylint: disable=g-explicit-tensorflow-version-import
|
|
|
|
|
|
class ASAOutputLayer(object):
|
|
"""An output layer to predict Accessible Surface Area."""
|
|
|
|
def __init__(self, name='asa'):
|
|
self.name = name
|
|
|
|
def compute_asa_output(self, activations):
|
|
"""Just compute the logits and outputs given activations."""
|
|
asa_logits = tf.contrib.layers.linear(
|
|
activations, 1,
|
|
weights_initializer=tf.random_uniform_initializer(-0.01, 0.01),
|
|
scope='ASALogits')
|
|
self.asa_output = tf.nn.relu(asa_logits, name='ASA_output_relu')
|
|
|
|
return asa_logits
|