# Copyright 2016 The TensorFlow Authors. All Rights Reserved.
#
# 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.
# ==============================================================================
"""Keras layers API."""

from __future__ import absolute_import
from __future__ import division
from __future__ import print_function

# Generic layers.
# pylint: disable=g-bad-import-order
from tensorflow.python.keras._impl.keras.engine import Input
from tensorflow.python.keras._impl.keras.engine import InputLayer
from tensorflow.python.keras._impl.keras.engine import InputSpec
from tensorflow.python.keras._impl.keras.engine import Layer

# Advanced activations.
from tensorflow.python.keras._impl.keras.layers.advanced_activations import LeakyReLU
from tensorflow.python.keras._impl.keras.layers.advanced_activations import PReLU
from tensorflow.python.keras._impl.keras.layers.advanced_activations import ELU
from tensorflow.python.keras._impl.keras.layers.advanced_activations import ThresholdedReLU

# Convolution layers.
from tensorflow.python.keras._impl.keras.layers.convolutional import Conv1D
from tensorflow.python.keras._impl.keras.layers.convolutional import Conv2D
from tensorflow.python.keras._impl.keras.layers.convolutional import Conv3D
from tensorflow.python.keras._impl.keras.layers.convolutional import Conv2DTranspose
from tensorflow.python.keras._impl.keras.layers.convolutional import Conv3DTranspose
from tensorflow.python.keras._impl.keras.layers.convolutional import SeparableConv2D

# Convolution layer aliases.
from tensorflow.python.keras._impl.keras.layers.convolutional import Convolution1D
from tensorflow.python.keras._impl.keras.layers.convolutional import Convolution2D
from tensorflow.python.keras._impl.keras.layers.convolutional import Convolution3D
from tensorflow.python.keras._impl.keras.layers.convolutional import Convolution2DTranspose
from tensorflow.python.keras._impl.keras.layers.convolutional import Convolution3DTranspose
from tensorflow.python.keras._impl.keras.layers.convolutional import SeparableConvolution2D

# Image processing layers.
from tensorflow.python.keras._impl.keras.layers.convolutional import UpSampling1D
from tensorflow.python.keras._impl.keras.layers.convolutional import UpSampling2D
from tensorflow.python.keras._impl.keras.layers.convolutional import UpSampling3D
from tensorflow.python.keras._impl.keras.layers.convolutional import ZeroPadding1D
from tensorflow.python.keras._impl.keras.layers.convolutional import ZeroPadding2D
from tensorflow.python.keras._impl.keras.layers.convolutional import ZeroPadding3D
from tensorflow.python.keras._impl.keras.layers.convolutional import Cropping1D
from tensorflow.python.keras._impl.keras.layers.convolutional import Cropping2D
from tensorflow.python.keras._impl.keras.layers.convolutional import Cropping3D

# Convolutional-recurrent layers.
from tensorflow.python.keras._impl.keras.layers.convolutional_recurrent import ConvLSTM2D

# Core layers.
from tensorflow.python.keras._impl.keras.layers.core import Masking
from tensorflow.python.keras._impl.keras.layers.core import Dropout
from tensorflow.python.keras._impl.keras.layers.core import SpatialDropout1D
from tensorflow.python.keras._impl.keras.layers.core import SpatialDropout2D
from tensorflow.python.keras._impl.keras.layers.core import SpatialDropout3D
from tensorflow.python.keras._impl.keras.layers.core import Activation
from tensorflow.python.keras._impl.keras.layers.core import Reshape
from tensorflow.python.keras._impl.keras.layers.core import Permute
from tensorflow.python.keras._impl.keras.layers.core import Flatten
from tensorflow.python.keras._impl.keras.layers.core import RepeatVector
from tensorflow.python.keras._impl.keras.layers.core import Lambda
from tensorflow.python.keras._impl.keras.layers.core import Dense
from tensorflow.python.keras._impl.keras.layers.core import ActivityRegularization

# Embedding layers.
from tensorflow.python.keras._impl.keras.layers.embeddings import Embedding

# Locally-connected layers.
from tensorflow.python.keras._impl.keras.layers.local import LocallyConnected1D
from tensorflow.python.keras._impl.keras.layers.local import LocallyConnected2D

# Merge layers.
from tensorflow.python.keras._impl.keras.layers.merge import Add
from tensorflow.python.keras._impl.keras.layers.merge import Multiply
from tensorflow.python.keras._impl.keras.layers.merge import Average
from tensorflow.python.keras._impl.keras.layers.merge import Maximum
from tensorflow.python.keras._impl.keras.layers.merge import Concatenate
from tensorflow.python.keras._impl.keras.layers.merge import Dot
from tensorflow.python.keras._impl.keras.layers.merge import add
from tensorflow.python.keras._impl.keras.layers.merge import multiply
from tensorflow.python.keras._impl.keras.layers.merge import average
from tensorflow.python.keras._impl.keras.layers.merge import maximum
from tensorflow.python.keras._impl.keras.layers.merge import concatenate
from tensorflow.python.keras._impl.keras.layers.merge import dot

# Noise layers.
from tensorflow.python.keras._impl.keras.layers.noise import AlphaDropout
from tensorflow.python.keras._impl.keras.layers.noise import GaussianNoise
from tensorflow.python.keras._impl.keras.layers.noise import GaussianDropout

# Normalization layers.
from tensorflow.python.keras._impl.keras.layers.normalization import BatchNormalization

# Pooling layers.
from tensorflow.python.keras._impl.keras.layers.pooling import MaxPooling1D
from tensorflow.python.keras._impl.keras.layers.pooling import MaxPooling2D
from tensorflow.python.keras._impl.keras.layers.pooling import MaxPooling3D
from tensorflow.python.keras._impl.keras.layers.pooling import AveragePooling1D
from tensorflow.python.keras._impl.keras.layers.pooling import AveragePooling2D
from tensorflow.python.keras._impl.keras.layers.pooling import AveragePooling3D
from tensorflow.python.keras._impl.keras.layers.pooling import GlobalAveragePooling1D
from tensorflow.python.keras._impl.keras.layers.pooling import GlobalAveragePooling2D
from tensorflow.python.keras._impl.keras.layers.pooling import GlobalAveragePooling3D
from tensorflow.python.keras._impl.keras.layers.pooling import GlobalMaxPooling1D
from tensorflow.python.keras._impl.keras.layers.pooling import GlobalMaxPooling2D
from tensorflow.python.keras._impl.keras.layers.pooling import GlobalMaxPooling3D

# Pooling layer aliases.
from tensorflow.python.keras._impl.keras.layers.pooling import MaxPool1D
from tensorflow.python.keras._impl.keras.layers.pooling import MaxPool2D
from tensorflow.python.keras._impl.keras.layers.pooling import MaxPool3D
from tensorflow.python.keras._impl.keras.layers.pooling import AvgPool1D
from tensorflow.python.keras._impl.keras.layers.pooling import AvgPool2D
from tensorflow.python.keras._impl.keras.layers.pooling import AvgPool3D
from tensorflow.python.keras._impl.keras.layers.pooling import GlobalAvgPool1D
from tensorflow.python.keras._impl.keras.layers.pooling import GlobalAvgPool2D
from tensorflow.python.keras._impl.keras.layers.pooling import GlobalAvgPool3D
from tensorflow.python.keras._impl.keras.layers.pooling import GlobalMaxPool1D
from tensorflow.python.keras._impl.keras.layers.pooling import GlobalMaxPool2D
from tensorflow.python.keras._impl.keras.layers.pooling import GlobalMaxPool3D

# Recurrent layers.
from tensorflow.python.keras._impl.keras.layers.recurrent import SimpleRNN
from tensorflow.python.keras._impl.keras.layers.recurrent import GRU
from tensorflow.python.keras._impl.keras.layers.recurrent import LSTM

# Wrapper functions
from tensorflow.python.keras._impl.keras.layers.wrappers import Wrapper
from tensorflow.python.keras._impl.keras.layers.wrappers import Bidirectional
from tensorflow.python.keras._impl.keras.layers.wrappers import TimeDistributed

del absolute_import
del division
del print_function

# Copyright 2016 The TensorFlow Authors. All Rights Reserved.
#
# 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.
# ==============================================================================
"""Keras layers API."""

from __future__ import absolute_import
from __future__ import division
from __future__ import print_function

# Generic layers.
# pylint: disable=g-bad-import-order
from tensorflow.python.keras._impl.keras.engine import Input
from tensorflow.python.keras._impl.keras.engine import InputLayer
from tensorflow.python.keras._impl.keras.engine import InputSpec
from tensorflow.python.keras._impl.keras.engine import Layer

# Advanced activations.
from tensorflow.python.keras._impl.keras.layers.advanced_activations import LeakyReLU
from tensorflow.python.keras._impl.keras.layers.advanced_activations import PReLU
from tensorflow.python.keras._impl.keras.layers.advanced_activations import ELU
from tensorflow.python.keras._impl.keras.layers.advanced_activations import ThresholdedReLU

# Convolution layers.
from tensorflow.python.keras._impl.keras.layers.convolutional import Conv1D
from tensorflow.python.keras._impl.keras.layers.convolutional import Conv2D
from tensorflow.python.keras._impl.keras.layers.convolutional import Conv3D
from tensorflow.python.keras._impl.keras.layers.convolutional import Conv2DTranspose
from tensorflow.python.keras._impl.keras.layers.convolutional import Conv3DTranspose
from tensorflow.python.keras._impl.keras.layers.convolutional import SeparableConv2D

# Convolution layer aliases.
from tensorflow.python.keras._impl.keras.layers.convolutional import Convolution1D
from tensorflow.python.keras._impl.keras.layers.convolutional import Convolution2D
from tensorflow.python.keras._impl.keras.layers.convolutional import Convolution3D
from tensorflow.python.keras._impl.keras.layers.convolutional import Convolution2DTranspose
from tensorflow.python.keras._impl.keras.layers.convolutional import Convolution3DTranspose
from tensorflow.python.keras._impl.keras.layers.convolutional import SeparableConvolution2D

# Image processing layers.
from tensorflow.python.keras._impl.keras.layers.convolutional import UpSampling1D
from tensorflow.python.keras._impl.keras.layers.convolutional import UpSampling2D
from tensorflow.python.keras._impl.keras.layers.convolutional import UpSampling3D
from tensorflow.python.keras._impl.keras.layers.convolutional import ZeroPadding1D
from tensorflow.python.keras._impl.keras.layers.convolutional import ZeroPadding2D
from tensorflow.python.keras._impl.keras.layers.convolutional import ZeroPadding3D
from tensorflow.python.keras._impl.keras.layers.convolutional import Cropping1D
from tensorflow.python.keras._impl.keras.layers.convolutional import Cropping2D
from tensorflow.python.keras._impl.keras.layers.convolutional import Cropping3D

# Convolutional-recurrent layers.
from tensorflow.python.keras._impl.keras.layers.convolutional_recurrent import ConvLSTM2D

# Core layers.
from tensorflow.python.keras._impl.keras.layers.core import Masking
from tensorflow.python.keras._impl.keras.layers.core import Dropout
from tensorflow.python.keras._impl.keras.layers.core import SpatialDropout1D
from tensorflow.python.keras._impl.keras.layers.core import SpatialDropout2D
from tensorflow.python.keras._impl.keras.layers.core import SpatialDropout3D
from tensorflow.python.keras._impl.keras.layers.core import Activation
from tensorflow.python.keras._impl.keras.layers.core import Reshape
from tensorflow.python.keras._impl.keras.layers.core import Permute
from tensorflow.python.keras._impl.keras.layers.core import Flatten
from tensorflow.python.keras._impl.keras.layers.core import RepeatVector
from tensorflow.python.keras._impl.keras.layers.core import Lambda
from tensorflow.python.keras._impl.keras.layers.core import Dense
from tensorflow.python.keras._impl.keras.layers.core import ActivityRegularization

# Embedding layers.
from tensorflow.python.keras._impl.keras.layers.embeddings import Embedding

# Locally-connected layers.
from tensorflow.python.keras._impl.keras.layers.local import LocallyConnected1D
from tensorflow.python.keras._impl.keras.layers.local import LocallyConnected2D

# Merge layers.
from tensorflow.python.keras._impl.keras.layers.merge import Add
from tensorflow.python.keras._impl.keras.layers.merge import Multiply
from tensorflow.python.keras._impl.keras.layers.merge import Average
from tensorflow.python.keras._impl.keras.layers.merge import Maximum
from tensorflow.python.keras._impl.keras.layers.merge import Concatenate
from tensorflow.python.keras._impl.keras.layers.merge import Dot
from tensorflow.python.keras._impl.keras.layers.merge import add
from tensorflow.python.keras._impl.keras.layers.merge import multiply
from tensorflow.python.keras._impl.keras.layers.merge import average
from tensorflow.python.keras._impl.keras.layers.merge import maximum
from tensorflow.python.keras._impl.keras.layers.merge import concatenate
from tensorflow.python.keras._impl.keras.layers.merge import dot

# Noise layers.
from tensorflow.python.keras._impl.keras.layers.noise import AlphaDropout
from tensorflow.python.keras._impl.keras.layers.noise import GaussianNoise
from tensorflow.python.keras._impl.keras.layers.noise import GaussianDropout

# Normalization layers.
from tensorflow.python.keras._impl.keras.layers.normalization import BatchNormalization

# Pooling layers.
from tensorflow.python.keras._impl.keras.layers.pooling import MaxPooling1D
from tensorflow.python.keras._impl.keras.layers.pooling import MaxPooling2D
from tensorflow.python.keras._impl.keras.layers.pooling import MaxPooling3D
from tensorflow.python.keras._impl.keras.layers.pooling import AveragePooling1D
from tensorflow.python.keras._impl.keras.layers.pooling import AveragePooling2D
from tensorflow.python.keras._impl.keras.layers.pooling import AveragePooling3D
from tensorflow.python.keras._impl.keras.layers.pooling import GlobalAveragePooling1D
from tensorflow.python.keras._impl.keras.layers.pooling import GlobalAveragePooling2D
from tensorflow.python.keras._impl.keras.layers.pooling import GlobalAveragePooling3D
from tensorflow.python.keras._impl.keras.layers.pooling import GlobalMaxPooling1D
from tensorflow.python.keras._impl.keras.layers.pooling import GlobalMaxPooling2D
from tensorflow.python.keras._impl.keras.layers.pooling import GlobalMaxPooling3D

# Pooling layer aliases.
from tensorflow.python.keras._impl.keras.layers.pooling import MaxPool1D
from tensorflow.python.keras._impl.keras.layers.pooling import MaxPool2D
from tensorflow.python.keras._impl.keras.layers.pooling import MaxPool3D
from tensorflow.python.keras._impl.keras.layers.pooling import AvgPool1D
from tensorflow.python.keras._impl.keras.layers.pooling import AvgPool2D
from tensorflow.python.keras._impl.keras.layers.pooling import AvgPool3D
from tensorflow.python.keras._impl.keras.layers.pooling import GlobalAvgPool1D
from tensorflow.python.keras._impl.keras.layers.pooling import GlobalAvgPool2D
from tensorflow.python.keras._impl.keras.layers.pooling import GlobalAvgPool3D
from tensorflow.python.keras._impl.keras.layers.pooling import GlobalMaxPool1D
from tensorflow.python.keras._impl.keras.layers.pooling import GlobalMaxPool2D
from tensorflow.python.keras._impl.keras.layers.pooling import GlobalMaxPool3D

# Recurrent layers.
from tensorflow.python.keras._impl.keras.layers.recurrent import SimpleRNN
from tensorflow.python.keras._impl.keras.layers.recurrent import GRU
from tensorflow.python.keras._impl.keras.layers.recurrent import LSTM

# Wrapper functions
from tensorflow.python.keras._impl.keras.layers.wrappers import Wrapper
from tensorflow.python.keras._impl.keras.layers.wrappers import Bidirectional
from tensorflow.python.keras._impl.keras.layers.wrappers import TimeDistributed

del absolute_import
del division
del print_function

# Copyright 2016 The TensorFlow Authors. All Rights Reserved. # # 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. # ============================================================================== Keras layers API. # Generic layers. # pylint: disable=g-bad-import-order # Advanced activations. # Convolution layers. # Convolution layer aliases. # Image processing layers. # Convolutional-recurrent layers. # Core layers. # Embedding layers. # Locally-connected layers. # Merge layers. # Noise layers. # Normalization layers. # Pooling layers. # Pooling layer aliases. # Recurrent layers. # Wrapper functions