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47 lines
1.6 KiB
Python
47 lines
1.6 KiB
Python
#
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# Copyright (c) 2017 Intel Corporation
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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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Module containing utility functions
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"""
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import tensorflow as tf
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def get_activation_function(activation_function_string: str):
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"""
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Map the activation function from a string to the tensorflow framework equivalent
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:param activation_function_string: the type of the activation function
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:return: the tensorflow activation function
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"""
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activation_functions = {
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'relu': tf.nn.relu,
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'tanh': tf.nn.tanh,
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'sigmoid': tf.nn.sigmoid,
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'elu': tf.nn.elu,
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'selu': tf.nn.selu,
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'leaky_relu': tf.nn.leaky_relu,
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'none': None
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}
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assert activation_function_string in activation_functions.keys(), \
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"Activation function must be one of the following {}. instead it was: {}" \
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.format(activation_functions.keys(), activation_function_string)
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return activation_functions[activation_function_string]
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def squeeze_tensor(tensor):
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if tensor.shape[0] == 1:
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return tensor[0]
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else:
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return tensor |