82 lines
3.6 KiB
Python
82 lines
3.6 KiB
Python
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# Copyright 2015 The TensorFlow Authors. 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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# pylint: disable=line-too-long
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"""This library provides a set of high-level neural networks layers."""
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from __future__ import absolute_import
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from __future__ import division
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from __future__ import print_function
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# pylint: disable=g-bad-import-order,unused-import
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# Base objects.
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from tensorflow.python.layers.base import Layer
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from tensorflow.python.layers.base import InputSpec
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# Core layers.
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from tensorflow.python.layers.core import Dense
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from tensorflow.python.layers.core import Dropout
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from tensorflow.python.layers.core import Flatten
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from tensorflow.python.layers.core import dense
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from tensorflow.python.layers.core import dropout
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from tensorflow.python.layers.core import flatten
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# Convolutional layers.
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from tensorflow.python.layers.convolutional import SeparableConv1D
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from tensorflow.python.layers.convolutional import SeparableConv2D
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from tensorflow.python.layers.convolutional import SeparableConvolution2D
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from tensorflow.python.layers.convolutional import Conv2DTranspose
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from tensorflow.python.layers.convolutional import Convolution2DTranspose
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from tensorflow.python.layers.convolutional import Conv3DTranspose
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from tensorflow.python.layers.convolutional import Convolution3DTranspose
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from tensorflow.python.layers.convolutional import Conv1D
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from tensorflow.python.layers.convolutional import Convolution1D
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from tensorflow.python.layers.convolutional import Conv2D
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from tensorflow.python.layers.convolutional import Convolution2D
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from tensorflow.python.layers.convolutional import Conv3D
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from tensorflow.python.layers.convolutional import Convolution3D
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from tensorflow.python.layers.convolutional import separable_conv1d
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from tensorflow.python.layers.convolutional import separable_conv2d
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from tensorflow.python.layers.convolutional import conv2d_transpose
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from tensorflow.python.layers.convolutional import conv3d_transpose
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from tensorflow.python.layers.convolutional import conv1d
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from tensorflow.python.layers.convolutional import conv2d
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from tensorflow.python.layers.convolutional import conv3d
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# Pooling layers.
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from tensorflow.python.layers.pooling import AveragePooling1D
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from tensorflow.python.layers.pooling import MaxPooling1D
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from tensorflow.python.layers.pooling import AveragePooling2D
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from tensorflow.python.layers.pooling import MaxPooling2D
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from tensorflow.python.layers.pooling import AveragePooling3D
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from tensorflow.python.layers.pooling import MaxPooling3D
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from tensorflow.python.layers.pooling import average_pooling1d
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from tensorflow.python.layers.pooling import max_pooling1d
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from tensorflow.python.layers.pooling import average_pooling2d
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from tensorflow.python.layers.pooling import max_pooling2d
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from tensorflow.python.layers.pooling import average_pooling3d
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from tensorflow.python.layers.pooling import max_pooling3d
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# Normalization layers.
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from tensorflow.python.layers.normalization import BatchNormalization
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from tensorflow.python.layers.normalization import batch_normalization
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# pylint: enable=g-bad-import-order,unused-import
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