Move Keras code out of _impl folder and remove API files.

PiperOrigin-RevId: 197097430
This commit is contained in:
Pavithra Vijay 2018-05-17 21:36:39 -07:00 committed by TensorFlower Gardener
parent aca0458707
commit 609b2ce3fe
386 changed files with 1711 additions and 3160 deletions

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@ -24,7 +24,7 @@ from tensorflow.contrib.autograph import utils
from tensorflow.contrib.autograph.impl import api
from tensorflow.contrib.autograph.impl import conversion
from tensorflow.python.framework import constant_op
from tensorflow.python.keras._impl.keras.engine import training
from tensorflow.python.keras.engine import training
from tensorflow.python.platform import test

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@ -24,8 +24,8 @@ from tensorflow.contrib.checkpoint.python import visualize
from tensorflow.python.eager import context
from tensorflow.python.eager import test
from tensorflow.python.framework import constant_op
from tensorflow.python.keras._impl.keras.engine import training
from tensorflow.python.keras._impl.keras.layers import core
from tensorflow.python.keras.engine import training
from tensorflow.python.keras.layers import core
from tensorflow.python.ops import resource_variable_ops
from tensorflow.python.training import adam
from tensorflow.python.training.checkpointable import util as checkpointable_utils

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@ -32,51 +32,13 @@ tensorflow/python/feature_column
tensorflow/python/framework
tensorflow/python/grappler
tensorflow/python/keras
tensorflow/python/keras/activations
tensorflow/python/keras/applications
tensorflow/python/keras/applications/densenet
tensorflow/python/keras/applications/inception_resnet_v2
tensorflow/python/keras/applications/inception_v3
tensorflow/python/keras/applications/mobilenet
tensorflow/python/keras/applications/nasnet
tensorflow/python/keras/applications/resnet50
tensorflow/python/keras/applications/vgg16
tensorflow/python/keras/applications/vgg19
tensorflow/python/keras/applications/xception
tensorflow/python/keras/backend
tensorflow/python/keras/callbacks
tensorflow/python/keras/constraints
tensorflow/python/keras/datasets
tensorflow/python/keras/datasets/boston_housing
tensorflow/python/keras/datasets/cifar10
tensorflow/python/keras/datasets/cifar100
tensorflow/python/keras/datasets/fashion_mnist
tensorflow/python/keras/datasets/imdb
tensorflow/python/keras/datasets/mnist
tensorflow/python/keras/datasets/reuters
tensorflow/python/keras/initializers
tensorflow/python/keras/engine
tensorflow/python/keras/layers
tensorflow/python/keras/losses
tensorflow/python/keras/metrics
tensorflow/python/keras/models
tensorflow/python/keras/optimizers
tensorflow/python/keras/preprocessing
tensorflow/python/keras/preprocessing/image
tensorflow/python/keras/preprocessing/sequence
tensorflow/python/keras/preprocessing/text
tensorflow/python/keras/regularizers
tensorflow/python/keras/utils
tensorflow/python/keras/wrappers
tensorflow/python/keras/wrappers/scikit_learn
tensorflow/python/keras/_impl
tensorflow/python/keras/_impl/keras
tensorflow/python/keras/_impl/keras/applications
tensorflow/python/keras/_impl/keras/datasets
tensorflow/python/keras/_impl/keras/engine
tensorflow/python/keras/_impl/keras/layers
tensorflow/python/keras/_impl/keras/preprocessing
tensorflow/python/keras/_impl/keras/utils
tensorflow/python/keras/_impl/keras/wrappers
tensorflow/python/kernel_tests
tensorflow/python/kernel_tests/boosted_trees
tensorflow/python/kernel_tests/distributions

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@ -28,7 +28,7 @@ from tensorflow.python.framework import constant_op
from tensorflow.python.framework import dtypes
from tensorflow.python.framework import ops
from tensorflow.python.framework import tensor_shape
from tensorflow.python.keras._impl.keras import engine
from tensorflow.python.keras import engine
from tensorflow.python.ops import array_ops
from tensorflow.python.ops import functional_ops
from tensorflow.python.ops import init_ops

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@ -24,7 +24,7 @@ from tensorflow.python.framework import common_shapes
from tensorflow.python.framework import dtypes
from tensorflow.python.framework import ops
from tensorflow.python.framework import random_seed
from tensorflow.python.keras._impl.keras.engine import base_layer
from tensorflow.python.keras.engine import base_layer
from tensorflow.python.ops import array_ops
from tensorflow.python.ops import gen_cudnn_rnn_ops
from tensorflow.python.ops import init_ops

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@ -24,7 +24,7 @@ import weakref
from tensorflow.python.eager import context
from tensorflow.python.framework import ops
from tensorflow.python.keras._impl.keras.engine import base_layer as keras_base_layer
from tensorflow.python.keras.engine import base_layer as keras_base_layer
from tensorflow.python.layers import base
from tensorflow.python.ops import variable_scope
from tensorflow.python.platform import tf_logging as logging

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@ -19,22 +19,22 @@ from __future__ import division
from __future__ import print_function
# Activation functions.
from tensorflow.python.keras._impl.keras.activations import elu
from tensorflow.python.keras._impl.keras.activations import hard_sigmoid
from tensorflow.python.keras._impl.keras.activations import linear
from tensorflow.python.keras._impl.keras.activations import relu
from tensorflow.python.keras._impl.keras.activations import selu
from tensorflow.python.keras._impl.keras.activations import sigmoid
from tensorflow.python.keras._impl.keras.activations import softmax
from tensorflow.python.keras._impl.keras.activations import softplus
from tensorflow.python.keras._impl.keras.activations import softsign
from tensorflow.python.keras._impl.keras.activations import tanh
from tensorflow.python.keras.activations import elu
from tensorflow.python.keras.activations import hard_sigmoid
from tensorflow.python.keras.activations import linear
from tensorflow.python.keras.activations import relu
from tensorflow.python.keras.activations import selu
from tensorflow.python.keras.activations import sigmoid
from tensorflow.python.keras.activations import softmax
from tensorflow.python.keras.activations import softplus
from tensorflow.python.keras.activations import softsign
from tensorflow.python.keras.activations import tanh
# Auxiliary utils.
# pylint: disable=g-bad-import-order
from tensorflow.python.keras._impl.keras.activations import deserialize
from tensorflow.python.keras._impl.keras.activations import serialize
from tensorflow.python.keras._impl.keras.activations import get
from tensorflow.python.keras.activations import deserialize
from tensorflow.python.keras.activations import serialize
from tensorflow.python.keras.activations import get
del absolute_import
del division

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@ -18,9 +18,9 @@ from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from tensorflow.python.keras._impl.keras.applications.inception_v3 import decode_predictions
from tensorflow.python.keras._impl.keras.applications.inception_v3 import InceptionV3
from tensorflow.python.keras._impl.keras.applications.inception_v3 import preprocess_input
from tensorflow.python.keras.applications.inception_v3 import decode_predictions
from tensorflow.python.keras.applications.inception_v3 import InceptionV3
from tensorflow.python.keras.applications.inception_v3 import preprocess_input
del absolute_import
del division

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@ -18,9 +18,9 @@ from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from tensorflow.python.keras._impl.keras.applications.mobilenet import decode_predictions
from tensorflow.python.keras._impl.keras.applications.mobilenet import MobileNet
from tensorflow.python.keras._impl.keras.applications.mobilenet import preprocess_input
from tensorflow.python.keras.applications.mobilenet import decode_predictions
from tensorflow.python.keras.applications.mobilenet import MobileNet
from tensorflow.python.keras.applications.mobilenet import preprocess_input
del absolute_import
del division

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@ -18,9 +18,9 @@ from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from tensorflow.python.keras._impl.keras.applications.resnet50 import decode_predictions
from tensorflow.python.keras._impl.keras.applications.resnet50 import preprocess_input
from tensorflow.python.keras._impl.keras.applications.resnet50 import ResNet50
from tensorflow.python.keras.applications.resnet50 import decode_predictions
from tensorflow.python.keras.applications.resnet50 import preprocess_input
from tensorflow.python.keras.applications.resnet50 import ResNet50
del absolute_import
del division

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@ -18,9 +18,9 @@ from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from tensorflow.python.keras._impl.keras.applications.vgg16 import decode_predictions
from tensorflow.python.keras._impl.keras.applications.vgg16 import preprocess_input
from tensorflow.python.keras._impl.keras.applications.vgg16 import VGG16
from tensorflow.python.keras.applications.vgg16 import decode_predictions
from tensorflow.python.keras.applications.vgg16 import preprocess_input
from tensorflow.python.keras.applications.vgg16 import VGG16
del absolute_import
del division

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@ -18,9 +18,9 @@ from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from tensorflow.python.keras._impl.keras.applications.vgg19 import decode_predictions
from tensorflow.python.keras._impl.keras.applications.vgg19 import preprocess_input
from tensorflow.python.keras._impl.keras.applications.vgg19 import VGG19
from tensorflow.python.keras.applications.vgg19 import decode_predictions
from tensorflow.python.keras.applications.vgg19 import preprocess_input
from tensorflow.python.keras.applications.vgg19 import VGG19
del absolute_import
del division

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@ -18,9 +18,9 @@ from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from tensorflow.python.keras._impl.keras.applications.xception import decode_predictions
from tensorflow.python.keras._impl.keras.applications.xception import preprocess_input
from tensorflow.python.keras._impl.keras.applications.xception import Xception
from tensorflow.python.keras.applications.xception import decode_predictions
from tensorflow.python.keras.applications.xception import preprocess_input
from tensorflow.python.keras.applications.xception import Xception
del absolute_import
del division

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@ -19,144 +19,144 @@ from __future__ import division
from __future__ import print_function
# pylint: disable=redefined-builtin
from tensorflow.python.keras._impl.keras.backend import abs
from tensorflow.python.keras._impl.keras.backend import all
from tensorflow.python.keras._impl.keras.backend import any
from tensorflow.python.keras._impl.keras.backend import arange
from tensorflow.python.keras._impl.keras.backend import argmax
from tensorflow.python.keras._impl.keras.backend import argmin
from tensorflow.python.keras._impl.keras.backend import backend
from tensorflow.python.keras._impl.keras.backend import batch_dot
from tensorflow.python.keras._impl.keras.backend import batch_flatten
from tensorflow.python.keras._impl.keras.backend import batch_get_value
from tensorflow.python.keras._impl.keras.backend import batch_normalization
from tensorflow.python.keras._impl.keras.backend import batch_set_value
from tensorflow.python.keras._impl.keras.backend import bias_add
from tensorflow.python.keras._impl.keras.backend import binary_crossentropy
from tensorflow.python.keras._impl.keras.backend import cast
from tensorflow.python.keras._impl.keras.backend import cast_to_floatx
from tensorflow.python.keras._impl.keras.backend import categorical_crossentropy
from tensorflow.python.keras._impl.keras.backend import clear_session
from tensorflow.python.keras._impl.keras.backend import clip
from tensorflow.python.keras._impl.keras.backend import concatenate
from tensorflow.python.keras._impl.keras.backend import constant
from tensorflow.python.keras._impl.keras.backend import conv1d
from tensorflow.python.keras._impl.keras.backend import conv2d
from tensorflow.python.keras._impl.keras.backend import conv2d_transpose
from tensorflow.python.keras._impl.keras.backend import conv3d
from tensorflow.python.keras._impl.keras.backend import cos
from tensorflow.python.keras._impl.keras.backend import count_params
from tensorflow.python.keras._impl.keras.backend import ctc_batch_cost
from tensorflow.python.keras._impl.keras.backend import ctc_decode
from tensorflow.python.keras._impl.keras.backend import ctc_label_dense_to_sparse
from tensorflow.python.keras._impl.keras.backend import dot
from tensorflow.python.keras._impl.keras.backend import dropout
from tensorflow.python.keras._impl.keras.backend import dtype
from tensorflow.python.keras._impl.keras.backend import elu
from tensorflow.python.keras._impl.keras.backend import epsilon
from tensorflow.python.keras._impl.keras.backend import equal
from tensorflow.python.keras._impl.keras.backend import eval
from tensorflow.python.keras._impl.keras.backend import exp
from tensorflow.python.keras._impl.keras.backend import expand_dims
from tensorflow.python.keras._impl.keras.backend import eye
from tensorflow.python.keras._impl.keras.backend import flatten
from tensorflow.python.keras._impl.keras.backend import floatx
from tensorflow.python.keras._impl.keras.backend import foldl
from tensorflow.python.keras._impl.keras.backend import foldr
from tensorflow.python.keras._impl.keras.backend import function
from tensorflow.python.keras._impl.keras.backend import gather
from tensorflow.python.keras._impl.keras.backend import get_session
from tensorflow.python.keras._impl.keras.backend import get_uid
from tensorflow.python.keras._impl.keras.backend import get_value
from tensorflow.python.keras._impl.keras.backend import gradients
from tensorflow.python.keras._impl.keras.backend import greater
from tensorflow.python.keras._impl.keras.backend import greater_equal
from tensorflow.python.keras._impl.keras.backend import hard_sigmoid
from tensorflow.python.keras._impl.keras.backend import image_data_format
from tensorflow.python.keras._impl.keras.backend import in_test_phase
from tensorflow.python.keras._impl.keras.backend import in_top_k
from tensorflow.python.keras._impl.keras.backend import in_train_phase
from tensorflow.python.keras._impl.keras.backend import int_shape
from tensorflow.python.keras._impl.keras.backend import is_sparse
from tensorflow.python.keras._impl.keras.backend import l2_normalize
from tensorflow.python.keras._impl.keras.backend import learning_phase
from tensorflow.python.keras._impl.keras.backend import less
from tensorflow.python.keras._impl.keras.backend import less_equal
from tensorflow.python.keras._impl.keras.backend import log
from tensorflow.python.keras._impl.keras.backend import manual_variable_initialization
from tensorflow.python.keras._impl.keras.backend import map_fn
from tensorflow.python.keras._impl.keras.backend import max
from tensorflow.python.keras._impl.keras.backend import maximum
from tensorflow.python.keras._impl.keras.backend import mean
from tensorflow.python.keras._impl.keras.backend import min
from tensorflow.python.keras._impl.keras.backend import minimum
from tensorflow.python.keras._impl.keras.backend import moving_average_update
from tensorflow.python.keras._impl.keras.backend import name_scope
from tensorflow.python.keras._impl.keras.backend import ndim
from tensorflow.python.keras._impl.keras.backend import normalize_batch_in_training
from tensorflow.python.keras._impl.keras.backend import not_equal
from tensorflow.python.keras._impl.keras.backend import one_hot
from tensorflow.python.keras._impl.keras.backend import ones
from tensorflow.python.keras._impl.keras.backend import ones_like
from tensorflow.python.keras._impl.keras.backend import permute_dimensions
from tensorflow.python.keras._impl.keras.backend import placeholder
from tensorflow.python.keras._impl.keras.backend import pool2d
from tensorflow.python.keras._impl.keras.backend import pool3d
from tensorflow.python.keras._impl.keras.backend import pow
from tensorflow.python.keras._impl.keras.backend import print_tensor
from tensorflow.python.keras._impl.keras.backend import prod
from tensorflow.python.keras._impl.keras.backend import random_binomial
from tensorflow.python.keras._impl.keras.backend import random_normal
from tensorflow.python.keras._impl.keras.backend import random_normal_variable
from tensorflow.python.keras._impl.keras.backend import random_uniform
from tensorflow.python.keras._impl.keras.backend import random_uniform_variable
from tensorflow.python.keras._impl.keras.backend import relu
from tensorflow.python.keras._impl.keras.backend import repeat
from tensorflow.python.keras._impl.keras.backend import repeat_elements
from tensorflow.python.keras._impl.keras.backend import reset_uids
from tensorflow.python.keras._impl.keras.backend import reshape
from tensorflow.python.keras._impl.keras.backend import resize_images
from tensorflow.python.keras._impl.keras.backend import resize_volumes
from tensorflow.python.keras._impl.keras.backend import reverse
from tensorflow.python.keras._impl.keras.backend import rnn
from tensorflow.python.keras._impl.keras.backend import round
from tensorflow.python.keras._impl.keras.backend import separable_conv2d
from tensorflow.python.keras._impl.keras.backend import set_epsilon
from tensorflow.python.keras._impl.keras.backend import set_floatx
from tensorflow.python.keras._impl.keras.backend import set_image_data_format
from tensorflow.python.keras._impl.keras.backend import set_learning_phase
from tensorflow.python.keras._impl.keras.backend import set_session
from tensorflow.python.keras._impl.keras.backend import set_value
from tensorflow.python.keras._impl.keras.backend import shape
from tensorflow.python.keras._impl.keras.backend import sigmoid
from tensorflow.python.keras._impl.keras.backend import sign
from tensorflow.python.keras._impl.keras.backend import sin
from tensorflow.python.keras._impl.keras.backend import softmax
from tensorflow.python.keras._impl.keras.backend import softplus
from tensorflow.python.keras._impl.keras.backend import softsign
from tensorflow.python.keras._impl.keras.backend import sparse_categorical_crossentropy
from tensorflow.python.keras._impl.keras.backend import spatial_2d_padding
from tensorflow.python.keras._impl.keras.backend import spatial_3d_padding
from tensorflow.python.keras._impl.keras.backend import sqrt
from tensorflow.python.keras._impl.keras.backend import square
from tensorflow.python.keras._impl.keras.backend import squeeze
from tensorflow.python.keras._impl.keras.backend import stack
from tensorflow.python.keras._impl.keras.backend import std
from tensorflow.python.keras._impl.keras.backend import stop_gradient
from tensorflow.python.keras._impl.keras.backend import sum
from tensorflow.python.keras._impl.keras.backend import switch
from tensorflow.python.keras._impl.keras.backend import tanh
from tensorflow.python.keras._impl.keras.backend import temporal_padding
from tensorflow.python.keras._impl.keras.backend import to_dense
from tensorflow.python.keras._impl.keras.backend import transpose
from tensorflow.python.keras._impl.keras.backend import truncated_normal
from tensorflow.python.keras._impl.keras.backend import update
from tensorflow.python.keras._impl.keras.backend import update_add
from tensorflow.python.keras._impl.keras.backend import update_sub
from tensorflow.python.keras._impl.keras.backend import var
from tensorflow.python.keras._impl.keras.backend import variable
from tensorflow.python.keras._impl.keras.backend import zeros
from tensorflow.python.keras._impl.keras.backend import zeros_like
from tensorflow.python.keras.backend import abs
from tensorflow.python.keras.backend import all
from tensorflow.python.keras.backend import any
from tensorflow.python.keras.backend import arange
from tensorflow.python.keras.backend import argmax
from tensorflow.python.keras.backend import argmin
from tensorflow.python.keras.backend import backend
from tensorflow.python.keras.backend import batch_dot
from tensorflow.python.keras.backend import batch_flatten
from tensorflow.python.keras.backend import batch_get_value
from tensorflow.python.keras.backend import batch_normalization
from tensorflow.python.keras.backend import batch_set_value
from tensorflow.python.keras.backend import bias_add
from tensorflow.python.keras.backend import binary_crossentropy
from tensorflow.python.keras.backend import cast
from tensorflow.python.keras.backend import cast_to_floatx
from tensorflow.python.keras.backend import categorical_crossentropy
from tensorflow.python.keras.backend import clear_session
from tensorflow.python.keras.backend import clip
from tensorflow.python.keras.backend import concatenate
from tensorflow.python.keras.backend import constant
from tensorflow.python.keras.backend import conv1d
from tensorflow.python.keras.backend import conv2d
from tensorflow.python.keras.backend import conv2d_transpose
from tensorflow.python.keras.backend import conv3d
from tensorflow.python.keras.backend import cos
from tensorflow.python.keras.backend import count_params
from tensorflow.python.keras.backend import ctc_batch_cost
from tensorflow.python.keras.backend import ctc_decode
from tensorflow.python.keras.backend import ctc_label_dense_to_sparse
from tensorflow.python.keras.backend import dot
from tensorflow.python.keras.backend import dropout
from tensorflow.python.keras.backend import dtype
from tensorflow.python.keras.backend import elu
from tensorflow.python.keras.backend import epsilon
from tensorflow.python.keras.backend import equal
from tensorflow.python.keras.backend import eval
from tensorflow.python.keras.backend import exp
from tensorflow.python.keras.backend import expand_dims
from tensorflow.python.keras.backend import eye
from tensorflow.python.keras.backend import flatten
from tensorflow.python.keras.backend import floatx
from tensorflow.python.keras.backend import foldl
from tensorflow.python.keras.backend import foldr
from tensorflow.python.keras.backend import function
from tensorflow.python.keras.backend import gather
from tensorflow.python.keras.backend import get_session
from tensorflow.python.keras.backend import get_uid
from tensorflow.python.keras.backend import get_value
from tensorflow.python.keras.backend import gradients
from tensorflow.python.keras.backend import greater
from tensorflow.python.keras.backend import greater_equal
from tensorflow.python.keras.backend import hard_sigmoid
from tensorflow.python.keras.backend import image_data_format
from tensorflow.python.keras.backend import in_test_phase
from tensorflow.python.keras.backend import in_top_k
from tensorflow.python.keras.backend import in_train_phase
from tensorflow.python.keras.backend import int_shape
from tensorflow.python.keras.backend import is_sparse
from tensorflow.python.keras.backend import l2_normalize
from tensorflow.python.keras.backend import learning_phase
from tensorflow.python.keras.backend import less
from tensorflow.python.keras.backend import less_equal
from tensorflow.python.keras.backend import log
from tensorflow.python.keras.backend import manual_variable_initialization
from tensorflow.python.keras.backend import map_fn
from tensorflow.python.keras.backend import max
from tensorflow.python.keras.backend import maximum
from tensorflow.python.keras.backend import mean
from tensorflow.python.keras.backend import min
from tensorflow.python.keras.backend import minimum
from tensorflow.python.keras.backend import moving_average_update
from tensorflow.python.keras.backend import name_scope
from tensorflow.python.keras.backend import ndim
from tensorflow.python.keras.backend import normalize_batch_in_training
from tensorflow.python.keras.backend import not_equal
from tensorflow.python.keras.backend import one_hot
from tensorflow.python.keras.backend import ones
from tensorflow.python.keras.backend import ones_like
from tensorflow.python.keras.backend import permute_dimensions
from tensorflow.python.keras.backend import placeholder
from tensorflow.python.keras.backend import pool2d
from tensorflow.python.keras.backend import pool3d
from tensorflow.python.keras.backend import pow
from tensorflow.python.keras.backend import print_tensor
from tensorflow.python.keras.backend import prod
from tensorflow.python.keras.backend import random_binomial
from tensorflow.python.keras.backend import random_normal
from tensorflow.python.keras.backend import random_normal_variable
from tensorflow.python.keras.backend import random_uniform
from tensorflow.python.keras.backend import random_uniform_variable
from tensorflow.python.keras.backend import relu
from tensorflow.python.keras.backend import repeat
from tensorflow.python.keras.backend import repeat_elements
from tensorflow.python.keras.backend import reset_uids
from tensorflow.python.keras.backend import reshape
from tensorflow.python.keras.backend import resize_images
from tensorflow.python.keras.backend import resize_volumes
from tensorflow.python.keras.backend import reverse
from tensorflow.python.keras.backend import rnn
from tensorflow.python.keras.backend import round
from tensorflow.python.keras.backend import separable_conv2d
from tensorflow.python.keras.backend import set_epsilon
from tensorflow.python.keras.backend import set_floatx
from tensorflow.python.keras.backend import set_image_data_format
from tensorflow.python.keras.backend import set_learning_phase
from tensorflow.python.keras.backend import set_session
from tensorflow.python.keras.backend import set_value
from tensorflow.python.keras.backend import shape
from tensorflow.python.keras.backend import sigmoid
from tensorflow.python.keras.backend import sign
from tensorflow.python.keras.backend import sin
from tensorflow.python.keras.backend import softmax
from tensorflow.python.keras.backend import softplus
from tensorflow.python.keras.backend import softsign
from tensorflow.python.keras.backend import sparse_categorical_crossentropy
from tensorflow.python.keras.backend import spatial_2d_padding
from tensorflow.python.keras.backend import spatial_3d_padding
from tensorflow.python.keras.backend import sqrt
from tensorflow.python.keras.backend import square
from tensorflow.python.keras.backend import squeeze
from tensorflow.python.keras.backend import stack
from tensorflow.python.keras.backend import std
from tensorflow.python.keras.backend import stop_gradient
from tensorflow.python.keras.backend import sum
from tensorflow.python.keras.backend import switch
from tensorflow.python.keras.backend import tanh
from tensorflow.python.keras.backend import temporal_padding
from tensorflow.python.keras.backend import to_dense
from tensorflow.python.keras.backend import transpose
from tensorflow.python.keras.backend import truncated_normal
from tensorflow.python.keras.backend import update
from tensorflow.python.keras.backend import update_add
from tensorflow.python.keras.backend import update_sub
from tensorflow.python.keras.backend import var
from tensorflow.python.keras.backend import variable
from tensorflow.python.keras.backend import zeros
from tensorflow.python.keras.backend import zeros_like
del absolute_import
del division

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@ -18,19 +18,19 @@ from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from tensorflow.python.keras._impl.keras.callbacks import BaseLogger
from tensorflow.python.keras._impl.keras.callbacks import Callback
from tensorflow.python.keras._impl.keras.callbacks import CSVLogger
from tensorflow.python.keras._impl.keras.callbacks import EarlyStopping
from tensorflow.python.keras._impl.keras.callbacks import History
from tensorflow.python.keras._impl.keras.callbacks import LambdaCallback
from tensorflow.python.keras._impl.keras.callbacks import LearningRateScheduler
from tensorflow.python.keras._impl.keras.callbacks import ModelCheckpoint
from tensorflow.python.keras._impl.keras.callbacks import ProgbarLogger
from tensorflow.python.keras._impl.keras.callbacks import ReduceLROnPlateau
from tensorflow.python.keras._impl.keras.callbacks import RemoteMonitor
from tensorflow.python.keras._impl.keras.callbacks import TensorBoard
from tensorflow.python.keras._impl.keras.callbacks import TerminateOnNaN
from tensorflow.python.keras.callbacks import BaseLogger
from tensorflow.python.keras.callbacks import Callback
from tensorflow.python.keras.callbacks import CSVLogger
from tensorflow.python.keras.callbacks import EarlyStopping
from tensorflow.python.keras.callbacks import History
from tensorflow.python.keras.callbacks import LambdaCallback
from tensorflow.python.keras.callbacks import LearningRateScheduler
from tensorflow.python.keras.callbacks import ModelCheckpoint
from tensorflow.python.keras.callbacks import ProgbarLogger
from tensorflow.python.keras.callbacks import ReduceLROnPlateau
from tensorflow.python.keras.callbacks import RemoteMonitor
from tensorflow.python.keras.callbacks import TensorBoard
from tensorflow.python.keras.callbacks import TerminateOnNaN
del absolute_import
del division

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@ -19,21 +19,21 @@ from __future__ import division
from __future__ import print_function
# Constraints functions / callable classes.
from tensorflow.python.keras._impl.keras.constraints import Constraint
from tensorflow.python.keras._impl.keras.constraints import max_norm
from tensorflow.python.keras._impl.keras.constraints import MaxNorm
from tensorflow.python.keras._impl.keras.constraints import min_max_norm
from tensorflow.python.keras._impl.keras.constraints import MinMaxNorm
from tensorflow.python.keras._impl.keras.constraints import non_neg
from tensorflow.python.keras._impl.keras.constraints import NonNeg
from tensorflow.python.keras._impl.keras.constraints import unit_norm
from tensorflow.python.keras._impl.keras.constraints import UnitNorm
from tensorflow.python.keras.constraints import Constraint
from tensorflow.python.keras.constraints import max_norm
from tensorflow.python.keras.constraints import MaxNorm
from tensorflow.python.keras.constraints import min_max_norm
from tensorflow.python.keras.constraints import MinMaxNorm
from tensorflow.python.keras.constraints import non_neg
from tensorflow.python.keras.constraints import NonNeg
from tensorflow.python.keras.constraints import unit_norm
from tensorflow.python.keras.constraints import UnitNorm
# Auxiliary utils.
# pylint: disable=g-bad-import-order
from tensorflow.python.keras._impl.keras.constraints import deserialize
from tensorflow.python.keras._impl.keras.constraints import serialize
from tensorflow.python.keras._impl.keras.constraints import get
from tensorflow.python.keras.constraints import deserialize
from tensorflow.python.keras.constraints import serialize
from tensorflow.python.keras.constraints import get
del absolute_import
del division

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@ -18,7 +18,7 @@ from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from tensorflow.python.keras._impl.keras.datasets.boston_housing import load_data
from tensorflow.python.keras.datasets.boston_housing import load_data
del absolute_import
del division

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@ -18,7 +18,7 @@ from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from tensorflow.python.keras._impl.keras.datasets.cifar10 import load_data
from tensorflow.python.keras.datasets.cifar10 import load_data
del absolute_import
del division

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@ -18,7 +18,7 @@ from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from tensorflow.python.keras._impl.keras.datasets.cifar100 import load_data
from tensorflow.python.keras.datasets.cifar100 import load_data
del absolute_import
del division

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@ -18,8 +18,8 @@ from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from tensorflow.python.keras._impl.keras.datasets.imdb import get_word_index
from tensorflow.python.keras._impl.keras.datasets.imdb import load_data
from tensorflow.python.keras.datasets.imdb import get_word_index
from tensorflow.python.keras.datasets.imdb import load_data
del absolute_import
del division

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@ -18,7 +18,7 @@ from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from tensorflow.python.keras._impl.keras.datasets.mnist import load_data
from tensorflow.python.keras.datasets.mnist import load_data
del absolute_import
del division

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@ -18,8 +18,8 @@ from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from tensorflow.python.keras._impl.keras.datasets.reuters import get_word_index
from tensorflow.python.keras._impl.keras.datasets.reuters import load_data
from tensorflow.python.keras.datasets.reuters import get_word_index
from tensorflow.python.keras.datasets.reuters import load_data
del absolute_import
del division

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@ -19,30 +19,30 @@ from __future__ import division
from __future__ import print_function
# Initializer functions / callable classes.
from tensorflow.python.keras._impl.keras.initializers import Constant
from tensorflow.python.keras._impl.keras.initializers import Identity
from tensorflow.python.keras._impl.keras.initializers import Initializer
from tensorflow.python.keras._impl.keras.initializers import Ones
from tensorflow.python.keras._impl.keras.initializers import Orthogonal
from tensorflow.python.keras._impl.keras.initializers import RandomNormal
from tensorflow.python.keras._impl.keras.initializers import RandomUniform
from tensorflow.python.keras._impl.keras.initializers import TruncatedNormal
from tensorflow.python.keras._impl.keras.initializers import VarianceScaling
from tensorflow.python.keras._impl.keras.initializers import Zeros
from tensorflow.python.keras.initializers import Constant
from tensorflow.python.keras.initializers import Identity
from tensorflow.python.keras.initializers import Initializer
from tensorflow.python.keras.initializers import Ones
from tensorflow.python.keras.initializers import Orthogonal
from tensorflow.python.keras.initializers import RandomNormal
from tensorflow.python.keras.initializers import RandomUniform
from tensorflow.python.keras.initializers import TruncatedNormal
from tensorflow.python.keras.initializers import VarianceScaling
from tensorflow.python.keras.initializers import Zeros
# Functional interface.
# pylint: disable=g-bad-import-order
from tensorflow.python.keras._impl.keras.initializers import glorot_normal
from tensorflow.python.keras._impl.keras.initializers import glorot_uniform
from tensorflow.python.keras._impl.keras.initializers import he_normal
from tensorflow.python.keras._impl.keras.initializers import he_uniform
from tensorflow.python.keras._impl.keras.initializers import lecun_normal
from tensorflow.python.keras._impl.keras.initializers import lecun_uniform
from tensorflow.python.keras.initializers import glorot_normal
from tensorflow.python.keras.initializers import glorot_uniform
from tensorflow.python.keras.initializers import he_normal
from tensorflow.python.keras.initializers import he_uniform
from tensorflow.python.keras.initializers import lecun_normal
from tensorflow.python.keras.initializers import lecun_uniform
# Auxiliary utils.
from tensorflow.python.keras._impl.keras.initializers import deserialize
from tensorflow.python.keras._impl.keras.initializers import serialize
from tensorflow.python.keras._impl.keras.initializers import get
from tensorflow.python.keras.initializers import deserialize
from tensorflow.python.keras.initializers import serialize
from tensorflow.python.keras.initializers import get
del absolute_import
del division

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@ -20,128 +20,128 @@ 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
from tensorflow.python.keras.engine import Input
from tensorflow.python.keras.engine import InputLayer
from tensorflow.python.keras.engine import InputSpec
from tensorflow.python.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
from tensorflow.python.keras.layers.advanced_activations import LeakyReLU
from tensorflow.python.keras.layers.advanced_activations import PReLU
from tensorflow.python.keras.layers.advanced_activations import ELU
from tensorflow.python.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
from tensorflow.python.keras.layers.convolutional import Conv1D
from tensorflow.python.keras.layers.convolutional import Conv2D
from tensorflow.python.keras.layers.convolutional import Conv3D
from tensorflow.python.keras.layers.convolutional import Conv2DTranspose
from tensorflow.python.keras.layers.convolutional import Conv3DTranspose
from tensorflow.python.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
from tensorflow.python.keras.layers.convolutional import Convolution1D
from tensorflow.python.keras.layers.convolutional import Convolution2D
from tensorflow.python.keras.layers.convolutional import Convolution3D
from tensorflow.python.keras.layers.convolutional import Convolution2DTranspose
from tensorflow.python.keras.layers.convolutional import Convolution3DTranspose
from tensorflow.python.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
from tensorflow.python.keras.layers.convolutional import UpSampling1D
from tensorflow.python.keras.layers.convolutional import UpSampling2D
from tensorflow.python.keras.layers.convolutional import UpSampling3D
from tensorflow.python.keras.layers.convolutional import ZeroPadding1D
from tensorflow.python.keras.layers.convolutional import ZeroPadding2D
from tensorflow.python.keras.layers.convolutional import ZeroPadding3D
from tensorflow.python.keras.layers.convolutional import Cropping1D
from tensorflow.python.keras.layers.convolutional import Cropping2D
from tensorflow.python.keras.layers.convolutional import Cropping3D
# Convolutional-recurrent layers.
from tensorflow.python.keras._impl.keras.layers.convolutional_recurrent import ConvLSTM2D
from tensorflow.python.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
from tensorflow.python.keras.layers.core import Masking
from tensorflow.python.keras.layers.core import Dropout
from tensorflow.python.keras.layers.core import SpatialDropout1D
from tensorflow.python.keras.layers.core import SpatialDropout2D
from tensorflow.python.keras.layers.core import SpatialDropout3D
from tensorflow.python.keras.layers.core import Activation
from tensorflow.python.keras.layers.core import Reshape
from tensorflow.python.keras.layers.core import Permute
from tensorflow.python.keras.layers.core import Flatten
from tensorflow.python.keras.layers.core import RepeatVector
from tensorflow.python.keras.layers.core import Lambda
from tensorflow.python.keras.layers.core import Dense
from tensorflow.python.keras.layers.core import ActivityRegularization
# Embedding layers.
from tensorflow.python.keras._impl.keras.layers.embeddings import Embedding
from tensorflow.python.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
from tensorflow.python.keras.layers.local import LocallyConnected1D
from tensorflow.python.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
from tensorflow.python.keras.layers.merge import Add
from tensorflow.python.keras.layers.merge import Multiply
from tensorflow.python.keras.layers.merge import Average
from tensorflow.python.keras.layers.merge import Maximum
from tensorflow.python.keras.layers.merge import Concatenate
from tensorflow.python.keras.layers.merge import Dot
from tensorflow.python.keras.layers.merge import add
from tensorflow.python.keras.layers.merge import multiply
from tensorflow.python.keras.layers.merge import average
from tensorflow.python.keras.layers.merge import maximum
from tensorflow.python.keras.layers.merge import concatenate
from tensorflow.python.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
from tensorflow.python.keras.layers.noise import AlphaDropout
from tensorflow.python.keras.layers.noise import GaussianNoise
from tensorflow.python.keras.layers.noise import GaussianDropout
# Normalization layers.
from tensorflow.python.keras._impl.keras.layers.normalization import BatchNormalization
from tensorflow.python.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
from tensorflow.python.keras.layers.pooling import MaxPooling1D
from tensorflow.python.keras.layers.pooling import MaxPooling2D
from tensorflow.python.keras.layers.pooling import MaxPooling3D
from tensorflow.python.keras.layers.pooling import AveragePooling1D
from tensorflow.python.keras.layers.pooling import AveragePooling2D
from tensorflow.python.keras.layers.pooling import AveragePooling3D
from tensorflow.python.keras.layers.pooling import GlobalAveragePooling1D
from tensorflow.python.keras.layers.pooling import GlobalAveragePooling2D
from tensorflow.python.keras.layers.pooling import GlobalAveragePooling3D
from tensorflow.python.keras.layers.pooling import GlobalMaxPooling1D
from tensorflow.python.keras.layers.pooling import GlobalMaxPooling2D
from tensorflow.python.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
from tensorflow.python.keras.layers.pooling import MaxPool1D
from tensorflow.python.keras.layers.pooling import MaxPool2D
from tensorflow.python.keras.layers.pooling import MaxPool3D
from tensorflow.python.keras.layers.pooling import AvgPool1D
from tensorflow.python.keras.layers.pooling import AvgPool2D
from tensorflow.python.keras.layers.pooling import AvgPool3D
from tensorflow.python.keras.layers.pooling import GlobalAvgPool1D
from tensorflow.python.keras.layers.pooling import GlobalAvgPool2D
from tensorflow.python.keras.layers.pooling import GlobalAvgPool3D
from tensorflow.python.keras.layers.pooling import GlobalMaxPool1D
from tensorflow.python.keras.layers.pooling import GlobalMaxPool2D
from tensorflow.python.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
from tensorflow.python.keras.layers.recurrent import SimpleRNN
from tensorflow.python.keras.layers.recurrent import GRU
from tensorflow.python.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
from tensorflow.python.keras.layers.wrappers import Wrapper
from tensorflow.python.keras.layers.wrappers import Bidirectional
from tensorflow.python.keras.layers.wrappers import TimeDistributed
del absolute_import
del division

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@ -19,26 +19,26 @@ from __future__ import division
from __future__ import print_function
# Loss functions.
from tensorflow.python.keras._impl.keras.losses import binary_crossentropy
from tensorflow.python.keras._impl.keras.losses import categorical_crossentropy
from tensorflow.python.keras._impl.keras.losses import categorical_hinge
from tensorflow.python.keras._impl.keras.losses import cosine_proximity
from tensorflow.python.keras._impl.keras.losses import hinge
from tensorflow.python.keras._impl.keras.losses import kullback_leibler_divergence
from tensorflow.python.keras._impl.keras.losses import logcosh
from tensorflow.python.keras._impl.keras.losses import mean_absolute_error
from tensorflow.python.keras._impl.keras.losses import mean_absolute_percentage_error
from tensorflow.python.keras._impl.keras.losses import mean_squared_error
from tensorflow.python.keras._impl.keras.losses import mean_squared_logarithmic_error
from tensorflow.python.keras._impl.keras.losses import poisson
from tensorflow.python.keras._impl.keras.losses import sparse_categorical_crossentropy
from tensorflow.python.keras._impl.keras.losses import squared_hinge
from tensorflow.python.keras.losses import binary_crossentropy
from tensorflow.python.keras.losses import categorical_crossentropy
from tensorflow.python.keras.losses import categorical_hinge
from tensorflow.python.keras.losses import cosine_proximity
from tensorflow.python.keras.losses import hinge
from tensorflow.python.keras.losses import kullback_leibler_divergence
from tensorflow.python.keras.losses import logcosh
from tensorflow.python.keras.losses import mean_absolute_error
from tensorflow.python.keras.losses import mean_absolute_percentage_error
from tensorflow.python.keras.losses import mean_squared_error
from tensorflow.python.keras.losses import mean_squared_logarithmic_error
from tensorflow.python.keras.losses import poisson
from tensorflow.python.keras.losses import sparse_categorical_crossentropy
from tensorflow.python.keras.losses import squared_hinge
# Auxiliary utils.
# pylint: disable=g-bad-import-order
from tensorflow.python.keras._impl.keras.losses import deserialize
from tensorflow.python.keras._impl.keras.losses import serialize
from tensorflow.python.keras._impl.keras.losses import get
from tensorflow.python.keras.losses import deserialize
from tensorflow.python.keras.losses import serialize
from tensorflow.python.keras.losses import get
del absolute_import
del division

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@ -19,28 +19,28 @@ from __future__ import division
from __future__ import print_function
# Metrics functions.
from tensorflow.python.keras._impl.keras.metrics import binary_accuracy
from tensorflow.python.keras._impl.keras.metrics import binary_crossentropy
from tensorflow.python.keras._impl.keras.metrics import categorical_accuracy
from tensorflow.python.keras._impl.keras.metrics import categorical_crossentropy
from tensorflow.python.keras._impl.keras.metrics import cosine_proximity
from tensorflow.python.keras._impl.keras.metrics import hinge
from tensorflow.python.keras._impl.keras.metrics import kullback_leibler_divergence
from tensorflow.python.keras._impl.keras.metrics import mean_absolute_error
from tensorflow.python.keras._impl.keras.metrics import mean_absolute_percentage_error
from tensorflow.python.keras._impl.keras.metrics import mean_squared_error
from tensorflow.python.keras._impl.keras.metrics import mean_squared_logarithmic_error
from tensorflow.python.keras._impl.keras.metrics import poisson
from tensorflow.python.keras._impl.keras.metrics import sparse_categorical_crossentropy
from tensorflow.python.keras._impl.keras.metrics import sparse_top_k_categorical_accuracy
from tensorflow.python.keras._impl.keras.metrics import squared_hinge
from tensorflow.python.keras._impl.keras.metrics import top_k_categorical_accuracy
from tensorflow.python.keras.metrics import binary_accuracy
from tensorflow.python.keras.metrics import binary_crossentropy
from tensorflow.python.keras.metrics import categorical_accuracy
from tensorflow.python.keras.metrics import categorical_crossentropy
from tensorflow.python.keras.metrics import cosine_proximity
from tensorflow.python.keras.metrics import hinge
from tensorflow.python.keras.metrics import kullback_leibler_divergence
from tensorflow.python.keras.metrics import mean_absolute_error
from tensorflow.python.keras.metrics import mean_absolute_percentage_error
from tensorflow.python.keras.metrics import mean_squared_error
from tensorflow.python.keras.metrics import mean_squared_logarithmic_error
from tensorflow.python.keras.metrics import poisson
from tensorflow.python.keras.metrics import sparse_categorical_crossentropy
from tensorflow.python.keras.metrics import sparse_top_k_categorical_accuracy
from tensorflow.python.keras.metrics import squared_hinge
from tensorflow.python.keras.metrics import top_k_categorical_accuracy
# Auxiliary utils.
# pylint: disable=g-bad-import-order
from tensorflow.python.keras._impl.keras.metrics import deserialize
from tensorflow.python.keras._impl.keras.metrics import serialize
from tensorflow.python.keras._impl.keras.metrics import get
from tensorflow.python.keras.metrics import deserialize
from tensorflow.python.keras.metrics import serialize
from tensorflow.python.keras.metrics import get
del absolute_import
del division

View File

@ -18,13 +18,13 @@ from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from tensorflow.python.keras._impl.keras.models import load_model
from tensorflow.python.keras._impl.keras.models import Model
from tensorflow.python.keras._impl.keras.models import model_from_config
from tensorflow.python.keras._impl.keras.models import model_from_json
from tensorflow.python.keras._impl.keras.models import model_from_yaml
from tensorflow.python.keras._impl.keras.models import save_model
from tensorflow.python.keras._impl.keras.models import Sequential
from tensorflow.python.keras.models import load_model
from tensorflow.python.keras.models import Model
from tensorflow.python.keras.models import model_from_config
from tensorflow.python.keras.models import model_from_json
from tensorflow.python.keras.models import model_from_yaml
from tensorflow.python.keras.models import save_model
from tensorflow.python.keras.models import Sequential
del absolute_import
del division

View File

@ -19,20 +19,20 @@ from __future__ import division
from __future__ import print_function
# Optimizer classes.
from tensorflow.python.keras._impl.keras.optimizers import Adadelta
from tensorflow.python.keras._impl.keras.optimizers import Adagrad
from tensorflow.python.keras._impl.keras.optimizers import Adam
from tensorflow.python.keras._impl.keras.optimizers import Adamax
from tensorflow.python.keras._impl.keras.optimizers import Nadam
from tensorflow.python.keras._impl.keras.optimizers import Optimizer
from tensorflow.python.keras._impl.keras.optimizers import RMSprop
from tensorflow.python.keras._impl.keras.optimizers import SGD
from tensorflow.python.keras.optimizers import Adadelta
from tensorflow.python.keras.optimizers import Adagrad
from tensorflow.python.keras.optimizers import Adam
from tensorflow.python.keras.optimizers import Adamax
from tensorflow.python.keras.optimizers import Nadam
from tensorflow.python.keras.optimizers import Optimizer
from tensorflow.python.keras.optimizers import RMSprop
from tensorflow.python.keras.optimizers import SGD
# Auxiliary utils.
# pylint: disable=g-bad-import-order
from tensorflow.python.keras._impl.keras.optimizers import deserialize
from tensorflow.python.keras._impl.keras.optimizers import serialize
from tensorflow.python.keras._impl.keras.optimizers import get
from tensorflow.python.keras.optimizers import deserialize
from tensorflow.python.keras.optimizers import serialize
from tensorflow.python.keras.optimizers import get
del absolute_import
del division

View File

@ -18,20 +18,20 @@ from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from tensorflow.python.keras._impl.keras.preprocessing.image import apply_transform
from tensorflow.python.keras._impl.keras.preprocessing.image import array_to_img
from tensorflow.python.keras._impl.keras.preprocessing.image import DirectoryIterator
from tensorflow.python.keras._impl.keras.preprocessing.image import flip_axis
from tensorflow.python.keras._impl.keras.preprocessing.image import ImageDataGenerator
from tensorflow.python.keras._impl.keras.preprocessing.image import img_to_array
from tensorflow.python.keras._impl.keras.preprocessing.image import Iterator
from tensorflow.python.keras._impl.keras.preprocessing.image import load_img
from tensorflow.python.keras._impl.keras.preprocessing.image import NumpyArrayIterator
from tensorflow.python.keras._impl.keras.preprocessing.image import random_channel_shift
from tensorflow.python.keras._impl.keras.preprocessing.image import random_rotation
from tensorflow.python.keras._impl.keras.preprocessing.image import random_shear
from tensorflow.python.keras._impl.keras.preprocessing.image import random_shift
from tensorflow.python.keras._impl.keras.preprocessing.image import random_zoom
from tensorflow.python.keras.preprocessing.image import apply_transform
from tensorflow.python.keras.preprocessing.image import array_to_img
from tensorflow.python.keras.preprocessing.image import DirectoryIterator
from tensorflow.python.keras.preprocessing.image import flip_axis
from tensorflow.python.keras.preprocessing.image import ImageDataGenerator
from tensorflow.python.keras.preprocessing.image import img_to_array
from tensorflow.python.keras.preprocessing.image import Iterator
from tensorflow.python.keras.preprocessing.image import load_img
from tensorflow.python.keras.preprocessing.image import NumpyArrayIterator
from tensorflow.python.keras.preprocessing.image import random_channel_shift
from tensorflow.python.keras.preprocessing.image import random_rotation
from tensorflow.python.keras.preprocessing.image import random_shear
from tensorflow.python.keras.preprocessing.image import random_shift
from tensorflow.python.keras.preprocessing.image import random_zoom
del absolute_import
del division

View File

@ -18,9 +18,9 @@ from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from tensorflow.python.keras._impl.keras.preprocessing.sequence import make_sampling_table
from tensorflow.python.keras._impl.keras.preprocessing.sequence import pad_sequences
from tensorflow.python.keras._impl.keras.preprocessing.sequence import skipgrams
from tensorflow.python.keras.preprocessing.sequence import make_sampling_table
from tensorflow.python.keras.preprocessing.sequence import pad_sequences
from tensorflow.python.keras.preprocessing.sequence import skipgrams
del absolute_import
del division

View File

@ -18,9 +18,9 @@ from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from tensorflow.python.keras._impl.keras.preprocessing.text import one_hot
from tensorflow.python.keras._impl.keras.preprocessing.text import text_to_word_sequence
from tensorflow.python.keras._impl.keras.preprocessing.text import Tokenizer
from tensorflow.python.keras.preprocessing.text import one_hot
from tensorflow.python.keras.preprocessing.text import text_to_word_sequence
from tensorflow.python.keras.preprocessing.text import Tokenizer
del absolute_import
del division

View File

@ -19,19 +19,19 @@ from __future__ import division
from __future__ import print_function
# Regularizer functions / callable classes.
from tensorflow.python.keras._impl.keras.regularizers import L1L2
from tensorflow.python.keras._impl.keras.regularizers import Regularizer
from tensorflow.python.keras.regularizers import L1L2
from tensorflow.python.keras.regularizers import Regularizer
# Functional interface.
# pylint: disable=g-bad-import-order
from tensorflow.python.keras._impl.keras.regularizers import l1
from tensorflow.python.keras._impl.keras.regularizers import l2
from tensorflow.python.keras._impl.keras.regularizers import l1_l2
from tensorflow.python.keras.regularizers import l1
from tensorflow.python.keras.regularizers import l2
from tensorflow.python.keras.regularizers import l1_l2
# Auxiliary utils.
from tensorflow.python.keras._impl.keras.regularizers import deserialize
from tensorflow.python.keras._impl.keras.regularizers import serialize
from tensorflow.python.keras._impl.keras.regularizers import get
from tensorflow.python.keras.regularizers import deserialize
from tensorflow.python.keras.regularizers import serialize
from tensorflow.python.keras.regularizers import get
del absolute_import
del division

View File

@ -18,21 +18,21 @@ from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from tensorflow.python.keras._impl.keras.utils.data_utils import GeneratorEnqueuer
from tensorflow.python.keras._impl.keras.utils.data_utils import get_file
from tensorflow.python.keras._impl.keras.utils.data_utils import Sequence
from tensorflow.python.keras._impl.keras.utils.data_utils import SequenceEnqueuer
from tensorflow.python.keras._impl.keras.utils.generic_utils import custom_object_scope
from tensorflow.python.keras._impl.keras.utils.generic_utils import CustomObjectScope
from tensorflow.python.keras._impl.keras.utils.generic_utils import deserialize_keras_object
from tensorflow.python.keras._impl.keras.utils.generic_utils import get_custom_objects
from tensorflow.python.keras._impl.keras.utils.generic_utils import Progbar
from tensorflow.python.keras._impl.keras.utils.generic_utils import serialize_keras_object
from tensorflow.python.keras._impl.keras.utils.io_utils import HDF5Matrix
from tensorflow.python.keras._impl.keras.utils.layer_utils import convert_all_kernels_in_model
from tensorflow.python.keras._impl.keras.utils.np_utils import normalize
from tensorflow.python.keras._impl.keras.utils.np_utils import to_categorical
from tensorflow.python.keras._impl.keras.utils.vis_utils import plot_model
from tensorflow.python.keras.utils.data_utils import GeneratorEnqueuer
from tensorflow.python.keras.utils.data_utils import get_file
from tensorflow.python.keras.utils.data_utils import Sequence
from tensorflow.python.keras.utils.data_utils import SequenceEnqueuer
from tensorflow.python.keras.utils.generic_utils import custom_object_scope
from tensorflow.python.keras.utils.generic_utils import CustomObjectScope
from tensorflow.python.keras.utils.generic_utils import deserialize_keras_object
from tensorflow.python.keras.utils.generic_utils import get_custom_objects
from tensorflow.python.keras.utils.generic_utils import Progbar
from tensorflow.python.keras.utils.generic_utils import serialize_keras_object
from tensorflow.python.keras.utils.io_utils import HDF5Matrix
from tensorflow.python.keras.utils.layer_utils import convert_all_kernels_in_model
from tensorflow.python.keras.utils.np_utils import normalize
from tensorflow.python.keras.utils.np_utils import to_categorical
from tensorflow.python.keras.utils.vis_utils import plot_model
del absolute_import
del division

View File

@ -18,8 +18,8 @@ from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from tensorflow.python.keras._impl.keras.wrappers.scikit_learn import KerasClassifier
from tensorflow.python.keras._impl.keras.wrappers.scikit_learn import KerasRegressor
from tensorflow.python.keras.wrappers.scikit_learn import KerasClassifier
from tensorflow.python.keras.wrappers.scikit_learn import KerasRegressor
del absolute_import
del division

View File

@ -33,8 +33,8 @@ from tensorflow.python.eager import test
from tensorflow.python.framework import constant_op
from tensorflow.python.framework import ops
from tensorflow.python.framework import test_util
from tensorflow.python.keras._impl.keras.engine import training
from tensorflow.python.keras._impl.keras.layers import core
from tensorflow.python.keras.engine import training
from tensorflow.python.keras.layers import core
from tensorflow.python.ops import control_flow_ops
from tensorflow.python.ops import init_ops
from tensorflow.python.ops import resource_variable_ops

View File

@ -30,9 +30,9 @@ from tensorflow.python.estimator import estimator_lib
from tensorflow.python.framework import constant_op
from tensorflow.python.framework import dtypes
from tensorflow.python.framework import ops
from tensorflow.python.keras._impl.keras.engine import sequential
from tensorflow.python.keras._impl.keras.engine import training
from tensorflow.python.keras._impl.keras.layers import core
from tensorflow.python.keras.engine import sequential
from tensorflow.python.keras.engine import training
from tensorflow.python.keras.layers import core
from tensorflow.python.ops import array_ops
from tensorflow.python.ops import check_ops
from tensorflow.python.ops import control_flow_ops

View File

@ -61,11 +61,11 @@ from tensorflow.python.client import session as tf_session
from tensorflow.python.estimator import model_fn as model_fn_lib
from tensorflow.python.framework import ops
from tensorflow.python.framework import tensor_spec
from tensorflow.python.keras._impl.keras import backend as K
from tensorflow.python.keras._impl.keras import layers
from tensorflow.python.keras._impl.keras import models
from tensorflow.python.keras._impl.keras import optimizers as keras_optimizers
from tensorflow.python.keras._impl.keras.layers import embeddings
from tensorflow.python.keras import backend as K
from tensorflow.python.keras import layers
from tensorflow.python.keras import models
from tensorflow.python.keras import optimizers as keras_optimizers
from tensorflow.python.keras.layers import embeddings
from tensorflow.python.ops import array_ops
from tensorflow.python.ops import math_ops
from tensorflow.python.platform import tf_logging as logging
@ -400,7 +400,7 @@ class KerasTPUModel(models.Model):
"""TPU compatible Keras model wrapper."""
def __init__(self, inputs, outputs, name, replicas=1):
super(models.Model, self).__init__(
super(models.Model, self).__init__( # pylint: disable=bad-super-call
inputs=inputs,
outputs=outputs,
name=name,

View File

@ -30,12 +30,12 @@ from tensorflow.python.framework import ops
from tensorflow.python.framework import random_seed
from tensorflow.python.framework import sparse_tensor as sparse_tensor_lib
from tensorflow.python.framework import tensor_util
from tensorflow.python.keras._impl.keras import backend as K
from tensorflow.python.keras._impl.keras import models
from tensorflow.python.keras._impl.keras import optimizers
from tensorflow.python.keras._impl.keras.engine.base_layer import Layer
from tensorflow.python.keras._impl.keras.engine.network import Network
from tensorflow.python.keras._impl.keras.utils.generic_utils import CustomObjectScope
from tensorflow.python.keras import backend as K
from tensorflow.python.keras import models
from tensorflow.python.keras import optimizers
from tensorflow.python.keras.engine.base_layer import Layer
from tensorflow.python.keras.engine.network import Network
from tensorflow.python.keras.utils.generic_utils import CustomObjectScope
from tensorflow.python.ops import check_ops
from tensorflow.python.ops import math_ops
from tensorflow.python.ops import metrics as metrics_module

View File

@ -25,16 +25,16 @@ import tempfile
import numpy as np
from tensorflow.core.protobuf import config_pb2
from tensorflow.python import keras
from tensorflow.python.estimator import keras as keras_lib
from tensorflow.python.estimator import run_config as run_config_lib
from tensorflow.python.estimator.inputs import numpy_io
from tensorflow.python.framework import ops
from tensorflow.python.framework import test_util
from tensorflow.python.keras._impl import keras
from tensorflow.python.keras._impl.keras import backend as K
from tensorflow.python.keras._impl.keras import testing_utils
from tensorflow.python.keras._impl.keras.applications import mobilenet
from tensorflow.python.keras._impl.keras.optimizers import SGD
from tensorflow.python.keras import backend as K
from tensorflow.python.keras import testing_utils
from tensorflow.python.keras.applications import mobilenet
from tensorflow.python.keras.optimizers import SGD
from tensorflow.python.platform import gfile
from tensorflow.python.platform import test
from tensorflow.python.summary.writer import writer_cache

View File

@ -140,7 +140,7 @@ from tensorflow.python.framework import dtypes
from tensorflow.python.framework import ops
from tensorflow.python.framework import sparse_tensor as sparse_tensor_lib
from tensorflow.python.framework import tensor_shape
from tensorflow.python.keras._impl.keras.engine import training
from tensorflow.python.keras.engine import training
from tensorflow.python.layers import base
from tensorflow.python.ops import array_ops
from tensorflow.python.ops import check_ops

View File

@ -19,74 +19,37 @@ py_library(
name = "keras",
srcs = [
"__init__.py",
"_impl/keras/__init__.py",
"_impl/keras/applications/__init__.py",
"_impl/keras/applications/densenet.py",
"_impl/keras/applications/imagenet_utils.py",
"_impl/keras/applications/inception_resnet_v2.py",
"_impl/keras/applications/inception_v3.py",
"_impl/keras/applications/mobilenet.py",
"_impl/keras/applications/nasnet.py",
"_impl/keras/applications/resnet50.py",
"_impl/keras/applications/vgg16.py",
"_impl/keras/applications/vgg19.py",
"_impl/keras/applications/xception.py",
"_impl/keras/datasets/__init__.py",
"_impl/keras/datasets/boston_housing.py",
"_impl/keras/datasets/cifar.py",
"_impl/keras/datasets/cifar10.py",
"_impl/keras/datasets/cifar100.py",
"_impl/keras/datasets/fashion_mnist.py",
"_impl/keras/datasets/imdb.py",
"_impl/keras/datasets/mnist.py",
"_impl/keras/datasets/reuters.py",
"_impl/keras/preprocessing/__init__.py",
"_impl/keras/preprocessing/image.py",
"_impl/keras/preprocessing/sequence.py",
"_impl/keras/preprocessing/text.py",
"_impl/keras/testing_utils.py",
"_impl/keras/utils/__init__.py",
"_impl/keras/utils/multi_gpu_utils.py",
"_impl/keras/utils/np_utils.py",
"_impl/keras/utils/vis_utils.py",
"_impl/keras/wrappers/__init__.py",
"_impl/keras/wrappers/scikit_learn.py",
"activations/__init__.py",
"applications/__init__.py",
"applications/densenet/__init__.py",
"applications/inception_resnet_v2/__init__.py",
"applications/inception_v3/__init__.py",
"applications/mobilenet/__init__.py",
"applications/nasnet/__init__.py",
"applications/resnet50/__init__.py",
"applications/vgg16/__init__.py",
"applications/vgg19/__init__.py",
"applications/xception/__init__.py",
"backend/__init__.py",
"callbacks/__init__.py",
"constraints/__init__.py",
"applications/densenet.py",
"applications/imagenet_utils.py",
"applications/inception_resnet_v2.py",
"applications/inception_v3.py",
"applications/mobilenet.py",
"applications/nasnet.py",
"applications/resnet50.py",
"applications/vgg16.py",
"applications/vgg19.py",
"applications/xception.py",
"datasets/__init__.py",
"datasets/boston_housing/__init__.py",
"datasets/cifar10/__init__.py",
"datasets/cifar100/__init__.py",
"datasets/fashion_mnist/__init__.py",
"datasets/imdb/__init__.py",
"datasets/mnist/__init__.py",
"datasets/reuters/__init__.py",
"initializers/__init__.py",
"layers/__init__.py",
"losses/__init__.py",
"metrics/__init__.py",
"models/__init__.py",
"optimizers/__init__.py",
"datasets/boston_housing.py",
"datasets/cifar.py",
"datasets/cifar10.py",
"datasets/cifar100.py",
"datasets/fashion_mnist.py",
"datasets/imdb.py",
"datasets/mnist.py",
"datasets/reuters.py",
"preprocessing/__init__.py",
"preprocessing/image/__init__.py",
"preprocessing/sequence/__init__.py",
"preprocessing/text/__init__.py",
"regularizers/__init__.py",
"preprocessing/image.py",
"preprocessing/sequence.py",
"preprocessing/text.py",
"testing_utils.py",
"utils/__init__.py",
"utils/multi_gpu_utils.py",
"utils/np_utils.py",
"utils/vis_utils.py",
"wrappers/__init__.py",
"wrappers/scikit_learn/__init__.py",
"wrappers/scikit_learn.py",
],
srcs_version = "PY2AND3",
visibility = ["//visibility:public"],
@ -104,7 +67,7 @@ py_library(
py_library(
name = "backend",
srcs = ["_impl/keras/backend.py"],
srcs = ["backend.py"],
srcs_version = "PY2AND3",
deps = [
"//tensorflow/core:protos_all_py",
@ -145,28 +108,28 @@ py_library(
py_library(
name = "engine",
srcs = [
"_impl/keras/activations.py",
"_impl/keras/callbacks.py",
"_impl/keras/constraints.py",
"_impl/keras/engine/__init__.py",
"_impl/keras/engine/base_layer.py",
"_impl/keras/engine/input_layer.py",
"_impl/keras/engine/network.py",
"_impl/keras/engine/saving.py",
"_impl/keras/engine/sequential.py",
"_impl/keras/engine/training.py",
"_impl/keras/engine/training_arrays.py",
"_impl/keras/engine/training_eager.py",
"_impl/keras/engine/training_generator.py",
"_impl/keras/engine/training_utils.py",
"_impl/keras/initializers.py",
"_impl/keras/losses.py",
"_impl/keras/metrics.py",
"_impl/keras/models.py",
"_impl/keras/optimizers.py",
"_impl/keras/regularizers.py",
"_impl/keras/utils/data_utils.py",
"_impl/keras/utils/io_utils.py",
"activations.py",
"callbacks.py",
"constraints.py",
"engine/__init__.py",
"engine/base_layer.py",
"engine/input_layer.py",
"engine/network.py",
"engine/saving.py",
"engine/sequential.py",
"engine/training.py",
"engine/training_arrays.py",
"engine/training_eager.py",
"engine/training_generator.py",
"engine/training_utils.py",
"initializers.py",
"losses.py",
"metrics.py",
"models.py",
"optimizers.py",
"regularizers.py",
"utils/data_utils.py",
"utils/io_utils.py",
],
srcs_version = "PY2AND3",
deps = [
@ -179,25 +142,25 @@ py_library(
py_library(
name = "layers",
srcs = [
"_impl/keras/layers/__init__.py",
"_impl/keras/layers/advanced_activations.py",
"_impl/keras/layers/convolutional.py",
"_impl/keras/layers/convolutional_recurrent.py",
"_impl/keras/layers/core.py",
"_impl/keras/layers/cudnn_recurrent.py",
"_impl/keras/layers/embeddings.py",
"_impl/keras/layers/local.py",
"_impl/keras/layers/merge.py",
"_impl/keras/layers/noise.py",
"_impl/keras/layers/normalization.py",
"_impl/keras/layers/pooling.py",
"_impl/keras/layers/recurrent.py",
"_impl/keras/layers/serialization.py",
"_impl/keras/layers/wrappers.py",
"_impl/keras/utils/conv_utils.py",
"_impl/keras/utils/generic_utils.py",
"_impl/keras/utils/layer_utils.py",
"_impl/keras/utils/tf_utils.py",
"layers/__init__.py",
"layers/advanced_activations.py",
"layers/convolutional.py",
"layers/convolutional_recurrent.py",
"layers/core.py",
"layers/cudnn_recurrent.py",
"layers/embeddings.py",
"layers/local.py",
"layers/merge.py",
"layers/noise.py",
"layers/normalization.py",
"layers/pooling.py",
"layers/recurrent.py",
"layers/serialization.py",
"layers/wrappers.py",
"utils/conv_utils.py",
"utils/generic_utils.py",
"utils/layer_utils.py",
"utils/tf_utils.py",
],
srcs_version = "PY2AND3",
deps = [
@ -224,7 +187,7 @@ py_library(
py_test(
name = "integration_test",
size = "medium",
srcs = ["_impl/keras/integration_test.py"],
srcs = ["integration_test.py"],
srcs_version = "PY2AND3",
tags = ["notsan"],
deps = [
@ -239,7 +202,7 @@ py_test(
py_test(
name = "activations_test",
size = "small",
srcs = ["_impl/keras/activations_test.py"],
srcs = ["activations_test.py"],
srcs_version = "PY2AND3",
deps = [
":keras",
@ -251,7 +214,7 @@ py_test(
py_test(
name = "constraints_test",
size = "small",
srcs = ["_impl/keras/constraints_test.py"],
srcs = ["constraints_test.py"],
srcs_version = "PY2AND3",
deps = [
":keras",
@ -263,7 +226,7 @@ py_test(
py_test(
name = "initializers_test",
size = "small",
srcs = ["_impl/keras/initializers_test.py"],
srcs = ["initializers_test.py"],
srcs_version = "PY2AND3",
deps = [
":keras",
@ -276,7 +239,7 @@ py_test(
py_test(
name = "regularizers_test",
size = "small",
srcs = ["_impl/keras/regularizers_test.py"],
srcs = ["regularizers_test.py"],
srcs_version = "PY2AND3",
deps = [
":keras",
@ -287,7 +250,7 @@ py_test(
py_test(
name = "optimizers_test",
size = "medium",
srcs = ["_impl/keras/optimizers_test.py"],
srcs = ["optimizers_test.py"],
srcs_version = "PY2AND3",
tags = ["notsan"],
deps = [
@ -301,7 +264,7 @@ py_test(
py_test(
name = "losses_test",
size = "small",
srcs = ["_impl/keras/losses_test.py"],
srcs = ["losses_test.py"],
srcs_version = "PY2AND3",
deps = [
":keras",
@ -313,7 +276,7 @@ py_test(
py_test(
name = "metrics_test",
size = "medium",
srcs = ["_impl/keras/metrics_test.py"],
srcs = ["metrics_test.py"],
srcs_version = "PY2AND3",
tags = [
"manual",
@ -330,7 +293,7 @@ py_test(
py_test(
name = "densenet_test",
size = "large",
srcs = ["_impl/keras/applications/densenet_test.py"],
srcs = ["applications/densenet_test.py"],
srcs_version = "PY2AND3",
tags = ["nomsan"], # times out, http://b/78650237
deps = [
@ -343,7 +306,7 @@ py_test(
py_test(
name = "inception_resnet_v2_test",
size = "medium",
srcs = ["_impl/keras/applications/inception_resnet_v2_test.py"],
srcs = ["applications/inception_resnet_v2_test.py"],
srcs_version = "PY2AND3",
deps = [
":keras",
@ -355,7 +318,7 @@ py_test(
py_test(
name = "inception_v3_test",
size = "medium",
srcs = ["_impl/keras/applications/inception_v3_test.py"],
srcs = ["applications/inception_v3_test.py"],
srcs_version = "PY2AND3",
deps = [
":keras",
@ -367,7 +330,7 @@ py_test(
py_test(
name = "mobilenet_test",
size = "medium",
srcs = ["_impl/keras/applications/mobilenet_test.py"],
srcs = ["applications/mobilenet_test.py"],
srcs_version = "PY2AND3",
deps = [
":keras",
@ -379,7 +342,7 @@ py_test(
py_test(
name = "nasnet_test",
size = "large",
srcs = ["_impl/keras/applications/nasnet_test.py"],
srcs = ["applications/nasnet_test.py"],
srcs_version = "PY2AND3",
tags = ["nomsan"], # times out, http://b/78573625
deps = [
@ -392,7 +355,7 @@ py_test(
py_test(
name = "resnet50_test",
size = "medium",
srcs = ["_impl/keras/applications/resnet50_test.py"],
srcs = ["applications/resnet50_test.py"],
srcs_version = "PY2AND3",
deps = [
":keras",
@ -403,7 +366,7 @@ py_test(
py_test(
name = "vgg16_test",
size = "small",
srcs = ["_impl/keras/applications/vgg16_test.py"],
srcs = ["applications/vgg16_test.py"],
srcs_version = "PY2AND3",
deps = [
":keras",
@ -414,7 +377,7 @@ py_test(
py_test(
name = "vgg19_test",
size = "small",
srcs = ["_impl/keras/applications/vgg19_test.py"],
srcs = ["applications/vgg19_test.py"],
srcs_version = "PY2AND3",
deps = [
":keras",
@ -425,7 +388,7 @@ py_test(
py_test(
name = "xception_test",
size = "medium",
srcs = ["_impl/keras/applications/xception_test.py"],
srcs = ["applications/xception_test.py"],
srcs_version = "PY2AND3",
deps = [
":keras",
@ -437,7 +400,7 @@ py_test(
py_test(
name = "advanced_activations_test",
size = "small",
srcs = ["_impl/keras/layers/advanced_activations_test.py"],
srcs = ["layers/advanced_activations_test.py"],
srcs_version = "PY2AND3",
deps = [
":keras",
@ -448,7 +411,7 @@ py_test(
py_test(
name = "convolutional_recurrent_test",
size = "large",
srcs = ["_impl/keras/layers/convolutional_recurrent_test.py"],
srcs = ["layers/convolutional_recurrent_test.py"],
shard_count = 2,
srcs_version = "PY2AND3",
deps = [
@ -461,7 +424,7 @@ py_test(
py_test(
name = "convolutional_test",
size = "large",
srcs = ["_impl/keras/layers/convolutional_test.py"],
srcs = ["layers/convolutional_test.py"],
srcs_version = "PY2AND3",
tags = [
"manual",
@ -478,7 +441,7 @@ py_test(
cuda_py_test(
name = "cudnn_recurrent_test",
size = "large",
srcs = ["_impl/keras/layers/cudnn_recurrent_test.py"],
srcs = ["layers/cudnn_recurrent_test.py"],
additional_deps = [
":keras",
"@absl_py//absl/testing:parameterized",
@ -491,7 +454,7 @@ cuda_py_test(
py_test(
name = "pooling_test",
size = "small",
srcs = ["_impl/keras/layers/pooling_test.py"],
srcs = ["layers/pooling_test.py"],
srcs_version = "PY2AND3",
deps = [
":keras",
@ -502,7 +465,7 @@ py_test(
py_test(
name = "core_test",
size = "medium",
srcs = ["_impl/keras/layers/core_test.py"],
srcs = ["layers/core_test.py"],
srcs_version = "PY2AND3",
deps = [
":keras",
@ -514,7 +477,7 @@ py_test(
py_test(
name = "embeddings_test",
size = "small",
srcs = ["_impl/keras/layers/embeddings_test.py"],
srcs = ["layers/embeddings_test.py"],
srcs_version = "PY2AND3",
deps = [
":keras",
@ -525,7 +488,7 @@ py_test(
py_test(
name = "local_test",
size = "medium",
srcs = ["_impl/keras/layers/local_test.py"],
srcs = ["layers/local_test.py"],
srcs_version = "PY2AND3",
deps = [
":keras",
@ -537,7 +500,7 @@ py_test(
py_test(
name = "merge_test",
size = "small",
srcs = ["_impl/keras/layers/merge_test.py"],
srcs = ["layers/merge_test.py"],
srcs_version = "PY2AND3",
deps = [
":keras",
@ -549,7 +512,7 @@ py_test(
py_test(
name = "noise_test",
size = "small",
srcs = ["_impl/keras/layers/noise_test.py"],
srcs = ["layers/noise_test.py"],
srcs_version = "PY2AND3",
deps = [
":keras",
@ -560,7 +523,7 @@ py_test(
py_test(
name = "normalization_test",
size = "medium",
srcs = ["_impl/keras/layers/normalization_test.py"],
srcs = ["layers/normalization_test.py"],
srcs_version = "PY2AND3",
tags = ["notsan"],
deps = [
@ -573,7 +536,7 @@ py_test(
py_test(
name = "simplernn_test",
size = "medium",
srcs = ["_impl/keras/layers/simplernn_test.py"],
srcs = ["layers/simplernn_test.py"],
srcs_version = "PY2AND3",
tags = ["notsan"],
deps = [
@ -586,7 +549,7 @@ py_test(
py_test(
name = "gru_test",
size = "medium",
srcs = ["_impl/keras/layers/gru_test.py"],
srcs = ["layers/gru_test.py"],
srcs_version = "PY2AND3",
tags = ["notsan"], # http://b/62136390
deps = [
@ -599,7 +562,7 @@ py_test(
py_test(
name = "lstm_test",
size = "medium",
srcs = ["_impl/keras/layers/lstm_test.py"],
srcs = ["layers/lstm_test.py"],
shard_count = 4,
srcs_version = "PY2AND3",
tags = [
@ -616,7 +579,7 @@ py_test(
py_test(
name = "recurrent_test",
size = "medium",
srcs = ["_impl/keras/layers/recurrent_test.py"],
srcs = ["layers/recurrent_test.py"],
srcs_version = "PY2AND3",
deps = [
":keras",
@ -628,7 +591,7 @@ py_test(
py_test(
name = "serialization_test",
size = "small",
srcs = ["_impl/keras/layers/serialization_test.py"],
srcs = ["layers/serialization_test.py"],
srcs_version = "PY2AND3",
deps = [
":keras",
@ -639,7 +602,7 @@ py_test(
py_test(
name = "wrappers_test",
size = "medium",
srcs = ["_impl/keras/layers/wrappers_test.py"],
srcs = ["layers/wrappers_test.py"],
shard_count = 4,
srcs_version = "PY2AND3",
tags = [
@ -656,7 +619,7 @@ py_test(
py_test(
name = "scikit_learn_test",
size = "small",
srcs = ["_impl/keras/wrappers/scikit_learn_test.py"],
srcs = ["wrappers/scikit_learn_test.py"],
srcs_version = "PY2AND3",
tags = ["notsan"],
deps = [
@ -669,7 +632,7 @@ py_test(
py_test(
name = "data_utils_test",
size = "large",
srcs = ["_impl/keras/utils/data_utils_test.py"],
srcs = ["utils/data_utils_test.py"],
srcs_version = "PY2AND3",
tags = [
"no_oss",
@ -688,7 +651,7 @@ py_test(
py_test(
name = "generic_utils_test",
size = "small",
srcs = ["_impl/keras/utils/generic_utils_test.py"],
srcs = ["utils/generic_utils_test.py"],
srcs_version = "PY2AND3",
deps = [
":keras",
@ -699,7 +662,7 @@ py_test(
py_test(
name = "io_utils_test",
size = "small",
srcs = ["_impl/keras/utils/io_utils_test.py"],
srcs = ["utils/io_utils_test.py"],
srcs_version = "PY2AND3",
tags = [
"no_windows", # TODO: needs investigation on Windows
@ -715,7 +678,7 @@ py_test(
py_test(
name = "np_utils_test",
size = "small",
srcs = ["_impl/keras/utils/np_utils_test.py"],
srcs = ["utils/np_utils_test.py"],
srcs_version = "PY2AND3",
deps = [
":keras",
@ -726,7 +689,7 @@ py_test(
cuda_py_test(
name = "multi_gpu_utils_test",
srcs = ["_impl/keras/utils/multi_gpu_utils_test.py"],
srcs = ["utils/multi_gpu_utils_test.py"],
additional_deps = [
":keras",
"//third_party/py/numpy",
@ -741,7 +704,7 @@ cuda_py_test(
py_test(
name = "imagenet_utils_test",
size = "small",
srcs = ["_impl/keras/applications/imagenet_utils_test.py"],
srcs = ["applications/imagenet_utils_test.py"],
srcs_version = "PY2AND3",
deps = [
":keras",
@ -753,7 +716,7 @@ py_test(
py_test(
name = "image_test",
size = "medium",
srcs = ["_impl/keras/preprocessing/image_test.py"],
srcs = ["preprocessing/image_test.py"],
srcs_version = "PY2AND3",
deps = [
":keras",
@ -765,7 +728,7 @@ py_test(
py_test(
name = "sequence_test",
size = "small",
srcs = ["_impl/keras/preprocessing/sequence_test.py"],
srcs = ["preprocessing/sequence_test.py"],
srcs_version = "PY2AND3",
deps = [
":keras",
@ -777,7 +740,7 @@ py_test(
py_test(
name = "text_test",
size = "small",
srcs = ["_impl/keras/preprocessing/text_test.py"],
srcs = ["preprocessing/text_test.py"],
srcs_version = "PY2AND3",
deps = [
":keras",
@ -789,7 +752,7 @@ py_test(
py_test(
name = "callbacks_test",
size = "medium",
srcs = ["_impl/keras/callbacks_test.py"],
srcs = ["callbacks_test.py"],
srcs_version = "PY2AND3",
tags = ["notsan"],
deps = [
@ -802,7 +765,7 @@ py_test(
py_test(
name = "training_test",
size = "medium",
srcs = ["_impl/keras/engine/training_test.py"],
srcs = ["engine/training_test.py"],
srcs_version = "PY2AND3",
tags = ["notsan"],
deps = [
@ -815,7 +778,7 @@ py_test(
py_test(
name = "training_eager_test",
size = "medium",
srcs = ["_impl/keras/engine/training_eager_test.py"],
srcs = ["engine/training_eager_test.py"],
srcs_version = "PY2AND3",
tags = ["notsan"],
deps = [
@ -828,7 +791,7 @@ py_test(
py_test(
name = "model_subclassing_test",
size = "medium",
srcs = ["_impl/keras/model_subclassing_test.py"],
srcs = ["model_subclassing_test.py"],
srcs_version = "PY2AND3",
tags = ["notsan"],
deps = [
@ -841,7 +804,7 @@ py_test(
py_test(
name = "topology_test",
size = "small",
srcs = ["_impl/keras/engine/topology_test.py"],
srcs = ["engine/topology_test.py"],
srcs_version = "PY2AND3",
tags = [
"no-internal-py3",
@ -856,7 +819,7 @@ py_test(
py_test(
name = "saving_test",
size = "medium",
srcs = ["_impl/keras/engine/saving_test.py"],
srcs = ["engine/saving_test.py"],
srcs_version = "PY2AND3",
deps = [
":keras",
@ -869,7 +832,7 @@ py_test(
py_test(
name = "sequential_test",
size = "small",
srcs = ["_impl/keras/engine/sequential_test.py"],
srcs = ["engine/sequential_test.py"],
srcs_version = "PY2AND3",
deps = [
":keras",
@ -881,7 +844,7 @@ py_test(
py_test(
name = "models_test",
size = "small",
srcs = ["_impl/keras/models_test.py"],
srcs = ["models_test.py"],
srcs_version = "PY2AND3",
tags = ["notsan"], # b/67509773
deps = [
@ -895,7 +858,7 @@ py_test(
py_test(
name = "backend_test",
size = "small",
srcs = ["_impl/keras/backend_test.py"],
srcs = ["backend_test.py"],
srcs_version = "PY2AND3",
deps = [
":keras",
@ -908,7 +871,7 @@ py_test(
py_library(
name = "testing_utils",
srcs = [
"_impl/keras/testing_utils.py",
"testing_utils.py",
],
srcs_version = "PY2AND3",
deps = [

View File

@ -1,4 +1,3 @@
# -*- coding: utf-8 -*-
# Copyright 2015 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
@ -22,7 +21,6 @@ from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
# pylint: disable=wildcard-import
from tensorflow.python.keras import activations
from tensorflow.python.keras import applications
from tensorflow.python.keras import backend
@ -39,11 +37,12 @@ from tensorflow.python.keras import preprocessing
from tensorflow.python.keras import regularizers
from tensorflow.python.keras import utils
from tensorflow.python.keras import wrappers
from tensorflow.python.keras._impl.keras import __version__
from tensorflow.python.keras.layers import Input
from tensorflow.python.keras.models import Model
from tensorflow.python.keras.models import Sequential
__version__ = '2.1.6-tf'
del absolute_import
del division
del print_function

View File

@ -1,42 +0,0 @@
# Copyright 2015 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.
# ==============================================================================
"""The Keras API.
"""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from tensorflow.python.keras._impl.keras import activations
from tensorflow.python.keras._impl.keras import applications
from tensorflow.python.keras._impl.keras import backend
from tensorflow.python.keras._impl.keras import callbacks
from tensorflow.python.keras._impl.keras import constraints
from tensorflow.python.keras._impl.keras import datasets
from tensorflow.python.keras._impl.keras import engine
from tensorflow.python.keras._impl.keras import initializers
from tensorflow.python.keras._impl.keras import layers
from tensorflow.python.keras._impl.keras import losses
from tensorflow.python.keras._impl.keras import metrics
from tensorflow.python.keras._impl.keras import models
from tensorflow.python.keras._impl.keras import optimizers
from tensorflow.python.keras._impl.keras import preprocessing
from tensorflow.python.keras._impl.keras import regularizers
from tensorflow.python.keras._impl.keras import utils
from tensorflow.python.keras._impl.keras import wrappers
from tensorflow.python.keras._impl.keras.layers import Input
from tensorflow.python.keras._impl.keras.models import Model
from tensorflow.python.keras._impl.keras.models import Sequential
__version__ = '2.1.6-tf'

View File

@ -1,32 +0,0 @@
# Copyright 2015 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 Applications: models with automatic loading of pre-trained weights.
"""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from tensorflow.python.keras._impl.keras.applications.densenet import DenseNet121
from tensorflow.python.keras._impl.keras.applications.densenet import DenseNet169
from tensorflow.python.keras._impl.keras.applications.densenet import DenseNet201
from tensorflow.python.keras._impl.keras.applications.inception_resnet_v2 import InceptionResNetV2
from tensorflow.python.keras._impl.keras.applications.inception_v3 import InceptionV3
from tensorflow.python.keras._impl.keras.applications.mobilenet import MobileNet
from tensorflow.python.keras._impl.keras.applications.nasnet import NASNetLarge
from tensorflow.python.keras._impl.keras.applications.nasnet import NASNetMobile
from tensorflow.python.keras._impl.keras.applications.resnet50 import ResNet50
from tensorflow.python.keras._impl.keras.applications.vgg16 import VGG16
from tensorflow.python.keras._impl.keras.applications.vgg19 import VGG19
from tensorflow.python.keras._impl.keras.applications.xception import Xception

View File

@ -1,28 +0,0 @@
# Copyright 2017 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 datasets: utilities for downloading and pre-processing common datasets.
"""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from tensorflow.python.keras._impl.keras.datasets import boston_housing
from tensorflow.python.keras._impl.keras.datasets import cifar10
from tensorflow.python.keras._impl.keras.datasets import cifar100
from tensorflow.python.keras._impl.keras.datasets import fashion_mnist
from tensorflow.python.keras._impl.keras.datasets import imdb
from tensorflow.python.keras._impl.keras.datasets import mnist
from tensorflow.python.keras._impl.keras.datasets import reuters

View File

@ -1,40 +0,0 @@
# Copyright 2015 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 module.
"""
# pylint: disable=wildcard-import
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
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
from tensorflow.python.keras._impl.keras.layers.advanced_activations import *
from tensorflow.python.keras._impl.keras.layers.convolutional import *
from tensorflow.python.keras._impl.keras.layers.convolutional_recurrent import *
from tensorflow.python.keras._impl.keras.layers.core import *
from tensorflow.python.keras._impl.keras.layers.cudnn_recurrent import *
from tensorflow.python.keras._impl.keras.layers.embeddings import *
from tensorflow.python.keras._impl.keras.layers.local import *
from tensorflow.python.keras._impl.keras.layers.merge import *
from tensorflow.python.keras._impl.keras.layers.noise import *
from tensorflow.python.keras._impl.keras.layers.normalization import *
from tensorflow.python.keras._impl.keras.layers.pooling import *
from tensorflow.python.keras._impl.keras.layers.recurrent import *
from tensorflow.python.keras._impl.keras.layers.serialization import deserialize
from tensorflow.python.keras._impl.keras.layers.serialization import serialize
from tensorflow.python.keras._impl.keras.layers.wrappers import *

View File

@ -1,24 +0,0 @@
# Copyright 2015 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.
# ==============================================================================
"""Data preprocessing module.
"""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from tensorflow.python.keras._impl.keras.preprocessing import image
from tensorflow.python.keras._impl.keras.preprocessing import sequence
from tensorflow.python.keras._impl.keras.preprocessing import text

View File

@ -1,38 +0,0 @@
# Copyright 2015 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 utilities.
"""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from tensorflow.python.keras._impl.keras.utils.data_utils import GeneratorEnqueuer
from tensorflow.python.keras._impl.keras.utils.data_utils import get_file
from tensorflow.python.keras._impl.keras.utils.data_utils import OrderedEnqueuer
from tensorflow.python.keras._impl.keras.utils.data_utils import Sequence
from tensorflow.python.keras._impl.keras.utils.generic_utils import custom_object_scope
from tensorflow.python.keras._impl.keras.utils.generic_utils import CustomObjectScope
from tensorflow.python.keras._impl.keras.utils.generic_utils import deserialize_keras_object
from tensorflow.python.keras._impl.keras.utils.generic_utils import get_custom_objects
from tensorflow.python.keras._impl.keras.utils.generic_utils import Progbar
from tensorflow.python.keras._impl.keras.utils.generic_utils import serialize_keras_object
from tensorflow.python.keras._impl.keras.utils.io_utils import HDF5Matrix
from tensorflow.python.keras._impl.keras.utils.layer_utils import convert_all_kernels_in_model
from tensorflow.python.keras._impl.keras.utils.layer_utils import print_summary
from tensorflow.python.keras._impl.keras.utils.multi_gpu_utils import multi_gpu_model
from tensorflow.python.keras._impl.keras.utils.np_utils import normalize
from tensorflow.python.keras._impl.keras.utils.np_utils import to_categorical
from tensorflow.python.keras._impl.keras.utils.vis_utils import plot_model

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@ -1,22 +0,0 @@
# Copyright 2015 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 API wrappers.
"""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from tensorflow.python.keras._impl.keras.wrappers import scikit_learn

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@ -20,8 +20,8 @@ from __future__ import print_function
import six
from tensorflow.python.keras._impl.keras import backend as K
from tensorflow.python.keras._impl.keras.utils.generic_utils import deserialize_keras_object
from tensorflow.python.keras import backend as K
from tensorflow.python.keras.utils.generic_utils import deserialize_keras_object
from tensorflow.python.ops import math_ops
from tensorflow.python.ops import nn
from tensorflow.python.util.tf_export import tf_export

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@ -1,41 +0,0 @@
# 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 built-in activation functions."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
# Activation functions.
from tensorflow.python.keras._impl.keras.activations import elu
from tensorflow.python.keras._impl.keras.activations import hard_sigmoid
from tensorflow.python.keras._impl.keras.activations import linear
from tensorflow.python.keras._impl.keras.activations import relu
from tensorflow.python.keras._impl.keras.activations import selu
from tensorflow.python.keras._impl.keras.activations import sigmoid
from tensorflow.python.keras._impl.keras.activations import softmax
from tensorflow.python.keras._impl.keras.activations import softplus
from tensorflow.python.keras._impl.keras.activations import softsign
from tensorflow.python.keras._impl.keras.activations import tanh
# Auxiliary utils.
# pylint: disable=g-bad-import-order
from tensorflow.python.keras._impl.keras.activations import deserialize
from tensorflow.python.keras._impl.keras.activations import serialize
from tensorflow.python.keras._impl.keras.activations import get
del absolute_import
del division
del print_function

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@ -20,7 +20,7 @@ from __future__ import print_function
import numpy as np
from tensorflow.python.keras._impl import keras
from tensorflow.python import keras
from tensorflow.python.platform import test

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@ -18,15 +18,6 @@ from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from tensorflow.python.keras.applications import densenet
from tensorflow.python.keras.applications import inception_resnet_v2
from tensorflow.python.keras.applications import inception_v3
from tensorflow.python.keras.applications import mobilenet
from tensorflow.python.keras.applications import nasnet
from tensorflow.python.keras.applications import resnet50
from tensorflow.python.keras.applications import vgg16
from tensorflow.python.keras.applications import vgg19
from tensorflow.python.keras.applications import xception
from tensorflow.python.keras.applications.densenet import DenseNet121
from tensorflow.python.keras.applications.densenet import DenseNet169
from tensorflow.python.keras.applications.densenet import DenseNet201

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@ -27,24 +27,24 @@ from __future__ import print_function
import os
from tensorflow.python.keras._impl.keras import backend as K
from tensorflow.python.keras._impl.keras.applications import imagenet_utils
from tensorflow.python.keras._impl.keras.applications.imagenet_utils import _obtain_input_shape
from tensorflow.python.keras._impl.keras.applications.imagenet_utils import decode_predictions
from tensorflow.python.keras._impl.keras.engine.network import get_source_inputs
from tensorflow.python.keras._impl.keras.layers import Activation
from tensorflow.python.keras._impl.keras.layers import AveragePooling2D
from tensorflow.python.keras._impl.keras.layers import BatchNormalization
from tensorflow.python.keras._impl.keras.layers import Concatenate
from tensorflow.python.keras._impl.keras.layers import Conv2D
from tensorflow.python.keras._impl.keras.layers import Dense
from tensorflow.python.keras._impl.keras.layers import GlobalAveragePooling2D
from tensorflow.python.keras._impl.keras.layers import GlobalMaxPooling2D
from tensorflow.python.keras._impl.keras.layers import Input
from tensorflow.python.keras._impl.keras.layers import MaxPooling2D
from tensorflow.python.keras._impl.keras.layers import ZeroPadding2D
from tensorflow.python.keras._impl.keras.models import Model
from tensorflow.python.keras._impl.keras.utils.data_utils import get_file
from tensorflow.python.keras import backend as K
from tensorflow.python.keras.applications import imagenet_utils
from tensorflow.python.keras.applications.imagenet_utils import _obtain_input_shape
from tensorflow.python.keras.applications.imagenet_utils import decode_predictions
from tensorflow.python.keras.engine.network import get_source_inputs
from tensorflow.python.keras.layers import Activation
from tensorflow.python.keras.layers import AveragePooling2D
from tensorflow.python.keras.layers import BatchNormalization
from tensorflow.python.keras.layers import Concatenate
from tensorflow.python.keras.layers import Conv2D
from tensorflow.python.keras.layers import Dense
from tensorflow.python.keras.layers import GlobalAveragePooling2D
from tensorflow.python.keras.layers import GlobalMaxPooling2D
from tensorflow.python.keras.layers import Input
from tensorflow.python.keras.layers import MaxPooling2D
from tensorflow.python.keras.layers import ZeroPadding2D
from tensorflow.python.keras.models import Model
from tensorflow.python.keras.utils.data_utils import get_file
from tensorflow.python.util.tf_export import tf_export

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@ -1,29 +0,0 @@
# Copyright 2018 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.
# ==============================================================================
"""DenseNet Keras applications."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from tensorflow.python.keras._impl.keras.applications.densenet import decode_predictions
from tensorflow.python.keras._impl.keras.applications.densenet import DenseNet121
from tensorflow.python.keras._impl.keras.applications.densenet import DenseNet169
from tensorflow.python.keras._impl.keras.applications.densenet import DenseNet201
from tensorflow.python.keras._impl.keras.applications.densenet import preprocess_input
del absolute_import
del division
del print_function

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@ -18,7 +18,7 @@ from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from tensorflow.python.keras._impl import keras
from tensorflow.python import keras
from tensorflow.python.platform import test

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@ -23,8 +23,8 @@ import json
import numpy as np
from tensorflow.python.framework import constant_op
from tensorflow.python.keras._impl.keras import backend as K
from tensorflow.python.keras._impl.keras.utils.data_utils import get_file
from tensorflow.python.keras import backend as K
from tensorflow.python.keras.utils.data_utils import get_file
from tensorflow.python.ops import math_ops
from tensorflow.python.platform import tf_logging as logging
from tensorflow.python.util.tf_export import tf_export

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@ -20,8 +20,8 @@ from __future__ import print_function
import numpy as np
from tensorflow.python.keras._impl import keras
from tensorflow.python.keras._impl.keras.applications.imagenet_utils import preprocess_input
from tensorflow.python import keras
from tensorflow.python.keras.applications.imagenet_utils import preprocess_input
from tensorflow.python.platform import test
@ -197,4 +197,3 @@ class ImageNetUtilsTest(test.TestCase):
if __name__ == '__main__':
test.main()

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@ -27,24 +27,24 @@ from __future__ import print_function
import os
from tensorflow.python.keras._impl.keras import backend as K
from tensorflow.python.keras._impl.keras.applications import imagenet_utils
from tensorflow.python.keras._impl.keras.applications.imagenet_utils import _obtain_input_shape
from tensorflow.python.keras._impl.keras.applications.imagenet_utils import decode_predictions
from tensorflow.python.keras._impl.keras.engine.network import get_source_inputs
from tensorflow.python.keras._impl.keras.layers import Activation
from tensorflow.python.keras._impl.keras.layers import AveragePooling2D
from tensorflow.python.keras._impl.keras.layers import BatchNormalization
from tensorflow.python.keras._impl.keras.layers import Concatenate
from tensorflow.python.keras._impl.keras.layers import Conv2D
from tensorflow.python.keras._impl.keras.layers import Dense
from tensorflow.python.keras._impl.keras.layers import GlobalAveragePooling2D
from tensorflow.python.keras._impl.keras.layers import GlobalMaxPooling2D
from tensorflow.python.keras._impl.keras.layers import Input
from tensorflow.python.keras._impl.keras.layers import Lambda
from tensorflow.python.keras._impl.keras.layers import MaxPooling2D
from tensorflow.python.keras._impl.keras.models import Model
from tensorflow.python.keras._impl.keras.utils.data_utils import get_file
from tensorflow.python.keras import backend as K
from tensorflow.python.keras.applications import imagenet_utils
from tensorflow.python.keras.applications.imagenet_utils import _obtain_input_shape
from tensorflow.python.keras.applications.imagenet_utils import decode_predictions
from tensorflow.python.keras.engine.network import get_source_inputs
from tensorflow.python.keras.layers import Activation
from tensorflow.python.keras.layers import AveragePooling2D
from tensorflow.python.keras.layers import BatchNormalization
from tensorflow.python.keras.layers import Concatenate
from tensorflow.python.keras.layers import Conv2D
from tensorflow.python.keras.layers import Dense
from tensorflow.python.keras.layers import GlobalAveragePooling2D
from tensorflow.python.keras.layers import GlobalMaxPooling2D
from tensorflow.python.keras.layers import Input
from tensorflow.python.keras.layers import Lambda
from tensorflow.python.keras.layers import MaxPooling2D
from tensorflow.python.keras.models import Model
from tensorflow.python.keras.utils.data_utils import get_file
from tensorflow.python.platform import tf_logging as logging
from tensorflow.python.util.tf_export import tf_export

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@ -1,27 +0,0 @@
# Copyright 2017 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.
# ==============================================================================
"""InceptionResNetV2 Keras application."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from tensorflow.python.keras._impl.keras.applications.inception_resnet_v2 import decode_predictions
from tensorflow.python.keras._impl.keras.applications.inception_resnet_v2 import InceptionResNetV2
from tensorflow.python.keras._impl.keras.applications.inception_resnet_v2 import preprocess_input
del absolute_import
del division
del print_function

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@ -20,7 +20,7 @@ from __future__ import print_function
import numpy as np
from tensorflow.python.keras._impl import keras
from tensorflow.python import keras
from tensorflow.python.platform import test

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@ -32,23 +32,23 @@ from __future__ import print_function
import os
from tensorflow.python.keras._impl.keras import backend as K
from tensorflow.python.keras._impl.keras import layers
from tensorflow.python.keras._impl.keras.applications import imagenet_utils
from tensorflow.python.keras._impl.keras.applications.imagenet_utils import _obtain_input_shape
from tensorflow.python.keras._impl.keras.applications.imagenet_utils import decode_predictions
from tensorflow.python.keras._impl.keras.engine.network import get_source_inputs
from tensorflow.python.keras._impl.keras.layers import Activation
from tensorflow.python.keras._impl.keras.layers import AveragePooling2D
from tensorflow.python.keras._impl.keras.layers import BatchNormalization
from tensorflow.python.keras._impl.keras.layers import Conv2D
from tensorflow.python.keras._impl.keras.layers import Dense
from tensorflow.python.keras._impl.keras.layers import GlobalAveragePooling2D
from tensorflow.python.keras._impl.keras.layers import GlobalMaxPooling2D
from tensorflow.python.keras._impl.keras.layers import Input
from tensorflow.python.keras._impl.keras.layers import MaxPooling2D
from tensorflow.python.keras._impl.keras.models import Model
from tensorflow.python.keras._impl.keras.utils.data_utils import get_file
from tensorflow.python.keras import backend as K
from tensorflow.python.keras import layers
from tensorflow.python.keras.applications import imagenet_utils
from tensorflow.python.keras.applications.imagenet_utils import _obtain_input_shape
from tensorflow.python.keras.applications.imagenet_utils import decode_predictions
from tensorflow.python.keras.engine.network import get_source_inputs
from tensorflow.python.keras.layers import Activation
from tensorflow.python.keras.layers import AveragePooling2D
from tensorflow.python.keras.layers import BatchNormalization
from tensorflow.python.keras.layers import Conv2D
from tensorflow.python.keras.layers import Dense
from tensorflow.python.keras.layers import GlobalAveragePooling2D
from tensorflow.python.keras.layers import GlobalMaxPooling2D
from tensorflow.python.keras.layers import Input
from tensorflow.python.keras.layers import MaxPooling2D
from tensorflow.python.keras.models import Model
from tensorflow.python.keras.utils.data_utils import get_file
from tensorflow.python.platform import tf_logging as logging
from tensorflow.python.util.tf_export import tf_export

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@ -1,27 +0,0 @@
# 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.
# ==============================================================================
"""Inception V3 Keras application."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from tensorflow.python.keras._impl.keras.applications.inception_v3 import decode_predictions
from tensorflow.python.keras._impl.keras.applications.inception_v3 import InceptionV3
from tensorflow.python.keras._impl.keras.applications.inception_v3 import preprocess_input
del absolute_import
del division
del print_function

View File

@ -20,7 +20,7 @@ from __future__ import print_function
import numpy as np
from tensorflow.python.keras._impl import keras
from tensorflow.python import keras
from tensorflow.python.platform import test

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@ -71,28 +71,28 @@ from __future__ import print_function
import os
from tensorflow.python.keras._impl.keras import backend as K
from tensorflow.python.keras._impl.keras import constraints
from tensorflow.python.keras._impl.keras import initializers
from tensorflow.python.keras._impl.keras import regularizers
from tensorflow.python.keras._impl.keras.applications import imagenet_utils
from tensorflow.python.keras._impl.keras.applications.imagenet_utils import _obtain_input_shape
from tensorflow.python.keras._impl.keras.applications.imagenet_utils import decode_predictions
from tensorflow.python.keras._impl.keras.engine import InputSpec
from tensorflow.python.keras._impl.keras.engine.network import get_source_inputs
from tensorflow.python.keras._impl.keras.layers import Activation
from tensorflow.python.keras._impl.keras.layers import BatchNormalization
from tensorflow.python.keras._impl.keras.layers import Conv2D
from tensorflow.python.keras._impl.keras.layers import DepthwiseConv2D
from tensorflow.python.keras._impl.keras.layers import Dropout
from tensorflow.python.keras._impl.keras.layers import GlobalAveragePooling2D
from tensorflow.python.keras._impl.keras.layers import GlobalMaxPooling2D
from tensorflow.python.keras._impl.keras.layers import Input
from tensorflow.python.keras._impl.keras.layers import Reshape
from tensorflow.python.keras._impl.keras.layers import ZeroPadding2D
from tensorflow.python.keras._impl.keras.models import Model
from tensorflow.python.keras._impl.keras.utils import conv_utils
from tensorflow.python.keras._impl.keras.utils.data_utils import get_file
from tensorflow.python.keras import backend as K
from tensorflow.python.keras import constraints
from tensorflow.python.keras import initializers
from tensorflow.python.keras import regularizers
from tensorflow.python.keras.applications import imagenet_utils
from tensorflow.python.keras.applications.imagenet_utils import _obtain_input_shape
from tensorflow.python.keras.applications.imagenet_utils import decode_predictions
from tensorflow.python.keras.engine import InputSpec
from tensorflow.python.keras.engine.network import get_source_inputs
from tensorflow.python.keras.layers import Activation
from tensorflow.python.keras.layers import BatchNormalization
from tensorflow.python.keras.layers import Conv2D
from tensorflow.python.keras.layers import DepthwiseConv2D
from tensorflow.python.keras.layers import Dropout
from tensorflow.python.keras.layers import GlobalAveragePooling2D
from tensorflow.python.keras.layers import GlobalMaxPooling2D
from tensorflow.python.keras.layers import Input
from tensorflow.python.keras.layers import Reshape
from tensorflow.python.keras.layers import ZeroPadding2D
from tensorflow.python.keras.models import Model
from tensorflow.python.keras.utils import conv_utils
from tensorflow.python.keras.utils.data_utils import get_file
from tensorflow.python.platform import tf_logging as logging
from tensorflow.python.util.tf_export import tf_export

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@ -1,27 +0,0 @@
# 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.
# ==============================================================================
"""MobileNet Keras application."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from tensorflow.python.keras._impl.keras.applications.mobilenet import decode_predictions
from tensorflow.python.keras._impl.keras.applications.mobilenet import MobileNet
from tensorflow.python.keras._impl.keras.applications.mobilenet import preprocess_input
del absolute_import
del division
del print_function

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@ -20,7 +20,7 @@ from __future__ import print_function
import numpy as np
from tensorflow.python.keras._impl import keras
from tensorflow.python import keras
from tensorflow.python.platform import test

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@ -45,27 +45,27 @@ from __future__ import print_function
import os
from tensorflow.python.keras._impl.keras import backend as K
from tensorflow.python.keras._impl.keras.applications.imagenet_utils import _obtain_input_shape
from tensorflow.python.keras._impl.keras.applications.imagenet_utils import decode_predictions
from tensorflow.python.keras._impl.keras.applications.inception_v3 import preprocess_input
from tensorflow.python.keras._impl.keras.engine.network import get_source_inputs
from tensorflow.python.keras._impl.keras.layers import Activation
from tensorflow.python.keras._impl.keras.layers import add
from tensorflow.python.keras._impl.keras.layers import AveragePooling2D
from tensorflow.python.keras._impl.keras.layers import BatchNormalization
from tensorflow.python.keras._impl.keras.layers import concatenate
from tensorflow.python.keras._impl.keras.layers import Conv2D
from tensorflow.python.keras._impl.keras.layers import Cropping2D
from tensorflow.python.keras._impl.keras.layers import Dense
from tensorflow.python.keras._impl.keras.layers import GlobalAveragePooling2D
from tensorflow.python.keras._impl.keras.layers import GlobalMaxPooling2D
from tensorflow.python.keras._impl.keras.layers import Input
from tensorflow.python.keras._impl.keras.layers import MaxPooling2D
from tensorflow.python.keras._impl.keras.layers import SeparableConv2D
from tensorflow.python.keras._impl.keras.layers import ZeroPadding2D
from tensorflow.python.keras._impl.keras.models import Model
from tensorflow.python.keras._impl.keras.utils.data_utils import get_file
from tensorflow.python.keras import backend as K
from tensorflow.python.keras.applications.imagenet_utils import _obtain_input_shape
from tensorflow.python.keras.applications.imagenet_utils import decode_predictions
from tensorflow.python.keras.applications.inception_v3 import preprocess_input
from tensorflow.python.keras.engine.network import get_source_inputs
from tensorflow.python.keras.layers import Activation
from tensorflow.python.keras.layers import add
from tensorflow.python.keras.layers import AveragePooling2D
from tensorflow.python.keras.layers import BatchNormalization
from tensorflow.python.keras.layers import concatenate
from tensorflow.python.keras.layers import Conv2D
from tensorflow.python.keras.layers import Cropping2D
from tensorflow.python.keras.layers import Dense
from tensorflow.python.keras.layers import GlobalAveragePooling2D
from tensorflow.python.keras.layers import GlobalMaxPooling2D
from tensorflow.python.keras.layers import Input
from tensorflow.python.keras.layers import MaxPooling2D
from tensorflow.python.keras.layers import SeparableConv2D
from tensorflow.python.keras.layers import ZeroPadding2D
from tensorflow.python.keras.models import Model
from tensorflow.python.keras.utils.data_utils import get_file
from tensorflow.python.platform import tf_logging as logging
from tensorflow.python.util.tf_export import tf_export

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@ -1,28 +0,0 @@
# Copyright 2018 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.
# ==============================================================================
"""NASNet Keras applications."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from tensorflow.python.keras._impl.keras.applications.nasnet import decode_predictions
from tensorflow.python.keras._impl.keras.applications.nasnet import NASNetLarge
from tensorflow.python.keras._impl.keras.applications.nasnet import NASNetMobile
from tensorflow.python.keras._impl.keras.applications.nasnet import preprocess_input
del absolute_import
del division
del print_function

View File

@ -18,7 +18,7 @@ from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from tensorflow.python.keras._impl import keras
from tensorflow.python import keras
from tensorflow.python.platform import test

View File

@ -29,26 +29,26 @@ from __future__ import print_function
import os
from tensorflow.python.keras._impl.keras import backend as K
from tensorflow.python.keras._impl.keras import layers
from tensorflow.python.keras._impl.keras.applications.imagenet_utils import _obtain_input_shape
from tensorflow.python.keras._impl.keras.applications.imagenet_utils import decode_predictions
from tensorflow.python.keras._impl.keras.applications.imagenet_utils import preprocess_input
from tensorflow.python.keras._impl.keras.engine.network import get_source_inputs
from tensorflow.python.keras._impl.keras.layers import Activation
from tensorflow.python.keras._impl.keras.layers import AveragePooling2D
from tensorflow.python.keras._impl.keras.layers import BatchNormalization
from tensorflow.python.keras._impl.keras.layers import Conv2D
from tensorflow.python.keras._impl.keras.layers import Dense
from tensorflow.python.keras._impl.keras.layers import Flatten
from tensorflow.python.keras._impl.keras.layers import GlobalAveragePooling2D
from tensorflow.python.keras._impl.keras.layers import GlobalMaxPooling2D
from tensorflow.python.keras._impl.keras.layers import Input
from tensorflow.python.keras._impl.keras.layers import MaxPooling2D
from tensorflow.python.keras._impl.keras.layers import ZeroPadding2D
from tensorflow.python.keras._impl.keras.models import Model
from tensorflow.python.keras._impl.keras.utils import layer_utils
from tensorflow.python.keras._impl.keras.utils.data_utils import get_file
from tensorflow.python.keras import backend as K
from tensorflow.python.keras import layers
from tensorflow.python.keras.applications.imagenet_utils import _obtain_input_shape
from tensorflow.python.keras.applications.imagenet_utils import decode_predictions
from tensorflow.python.keras.applications.imagenet_utils import preprocess_input
from tensorflow.python.keras.engine.network import get_source_inputs
from tensorflow.python.keras.layers import Activation
from tensorflow.python.keras.layers import AveragePooling2D
from tensorflow.python.keras.layers import BatchNormalization
from tensorflow.python.keras.layers import Conv2D
from tensorflow.python.keras.layers import Dense
from tensorflow.python.keras.layers import Flatten
from tensorflow.python.keras.layers import GlobalAveragePooling2D
from tensorflow.python.keras.layers import GlobalMaxPooling2D
from tensorflow.python.keras.layers import Input
from tensorflow.python.keras.layers import MaxPooling2D
from tensorflow.python.keras.layers import ZeroPadding2D
from tensorflow.python.keras.models import Model
from tensorflow.python.keras.utils import layer_utils
from tensorflow.python.keras.utils.data_utils import get_file
from tensorflow.python.platform import tf_logging as logging
from tensorflow.python.util.tf_export import tf_export

View File

@ -1,27 +0,0 @@
# 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.
# ==============================================================================
"""ResNet50 Keras application."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from tensorflow.python.keras._impl.keras.applications.resnet50 import decode_predictions
from tensorflow.python.keras._impl.keras.applications.resnet50 import preprocess_input
from tensorflow.python.keras._impl.keras.applications.resnet50 import ResNet50
del absolute_import
del division
del print_function

View File

@ -18,7 +18,7 @@ from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from tensorflow.python.keras._impl import keras
from tensorflow.python import keras
from tensorflow.python.platform import test

View File

@ -28,21 +28,21 @@ from __future__ import print_function
import os
from tensorflow.python.keras._impl.keras import backend as K
from tensorflow.python.keras._impl.keras.applications.imagenet_utils import _obtain_input_shape
from tensorflow.python.keras._impl.keras.applications.imagenet_utils import decode_predictions
from tensorflow.python.keras._impl.keras.applications.imagenet_utils import preprocess_input
from tensorflow.python.keras._impl.keras.engine.network import get_source_inputs
from tensorflow.python.keras._impl.keras.layers import Conv2D
from tensorflow.python.keras._impl.keras.layers import Dense
from tensorflow.python.keras._impl.keras.layers import Flatten
from tensorflow.python.keras._impl.keras.layers import GlobalAveragePooling2D
from tensorflow.python.keras._impl.keras.layers import GlobalMaxPooling2D
from tensorflow.python.keras._impl.keras.layers import Input
from tensorflow.python.keras._impl.keras.layers import MaxPooling2D
from tensorflow.python.keras._impl.keras.models import Model
from tensorflow.python.keras._impl.keras.utils import layer_utils
from tensorflow.python.keras._impl.keras.utils.data_utils import get_file
from tensorflow.python.keras import backend as K
from tensorflow.python.keras.applications.imagenet_utils import _obtain_input_shape
from tensorflow.python.keras.applications.imagenet_utils import decode_predictions
from tensorflow.python.keras.applications.imagenet_utils import preprocess_input
from tensorflow.python.keras.engine.network import get_source_inputs
from tensorflow.python.keras.layers import Conv2D
from tensorflow.python.keras.layers import Dense
from tensorflow.python.keras.layers import Flatten
from tensorflow.python.keras.layers import GlobalAveragePooling2D
from tensorflow.python.keras.layers import GlobalMaxPooling2D
from tensorflow.python.keras.layers import Input
from tensorflow.python.keras.layers import MaxPooling2D
from tensorflow.python.keras.models import Model
from tensorflow.python.keras.utils import layer_utils
from tensorflow.python.keras.utils.data_utils import get_file
from tensorflow.python.platform import tf_logging as logging
from tensorflow.python.util.tf_export import tf_export

View File

@ -1,27 +0,0 @@
# 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.
# ==============================================================================
"""VGG16 Keras application."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from tensorflow.python.keras._impl.keras.applications.vgg16 import decode_predictions
from tensorflow.python.keras._impl.keras.applications.vgg16 import preprocess_input
from tensorflow.python.keras._impl.keras.applications.vgg16 import VGG16
del absolute_import
del division
del print_function

View File

@ -18,7 +18,7 @@ from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from tensorflow.python.keras._impl import keras
from tensorflow.python import keras
from tensorflow.python.platform import test

View File

@ -28,21 +28,21 @@ from __future__ import print_function
import os
from tensorflow.python.keras._impl.keras import backend as K
from tensorflow.python.keras._impl.keras.applications.imagenet_utils import _obtain_input_shape
from tensorflow.python.keras._impl.keras.applications.imagenet_utils import decode_predictions
from tensorflow.python.keras._impl.keras.applications.imagenet_utils import preprocess_input
from tensorflow.python.keras._impl.keras.engine.network import get_source_inputs
from tensorflow.python.keras._impl.keras.layers import Conv2D
from tensorflow.python.keras._impl.keras.layers import Dense
from tensorflow.python.keras._impl.keras.layers import Flatten
from tensorflow.python.keras._impl.keras.layers import GlobalAveragePooling2D
from tensorflow.python.keras._impl.keras.layers import GlobalMaxPooling2D
from tensorflow.python.keras._impl.keras.layers import Input
from tensorflow.python.keras._impl.keras.layers import MaxPooling2D
from tensorflow.python.keras._impl.keras.models import Model
from tensorflow.python.keras._impl.keras.utils import layer_utils
from tensorflow.python.keras._impl.keras.utils.data_utils import get_file
from tensorflow.python.keras import backend as K
from tensorflow.python.keras.applications.imagenet_utils import _obtain_input_shape
from tensorflow.python.keras.applications.imagenet_utils import decode_predictions
from tensorflow.python.keras.applications.imagenet_utils import preprocess_input
from tensorflow.python.keras.engine.network import get_source_inputs
from tensorflow.python.keras.layers import Conv2D
from tensorflow.python.keras.layers import Dense
from tensorflow.python.keras.layers import Flatten
from tensorflow.python.keras.layers import GlobalAveragePooling2D
from tensorflow.python.keras.layers import GlobalMaxPooling2D
from tensorflow.python.keras.layers import Input
from tensorflow.python.keras.layers import MaxPooling2D
from tensorflow.python.keras.models import Model
from tensorflow.python.keras.utils import layer_utils
from tensorflow.python.keras.utils.data_utils import get_file
from tensorflow.python.platform import tf_logging as logging
from tensorflow.python.util.tf_export import tf_export

View File

@ -1,27 +0,0 @@
# 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.
# ==============================================================================
"""VGG19 Keras application."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from tensorflow.python.keras._impl.keras.applications.vgg19 import decode_predictions
from tensorflow.python.keras._impl.keras.applications.vgg19 import preprocess_input
from tensorflow.python.keras._impl.keras.applications.vgg19 import VGG19
del absolute_import
del division
del print_function

View File

@ -18,7 +18,7 @@ from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from tensorflow.python.keras._impl import keras
from tensorflow.python import keras
from tensorflow.python.platform import test

View File

@ -39,23 +39,23 @@ from __future__ import print_function
import os
from tensorflow.python.keras._impl.keras import backend as K
from tensorflow.python.keras._impl.keras import layers
from tensorflow.python.keras._impl.keras.applications import imagenet_utils
from tensorflow.python.keras._impl.keras.applications.imagenet_utils import _obtain_input_shape
from tensorflow.python.keras._impl.keras.applications.imagenet_utils import decode_predictions
from tensorflow.python.keras._impl.keras.engine.network import get_source_inputs
from tensorflow.python.keras._impl.keras.layers import Activation
from tensorflow.python.keras._impl.keras.layers import BatchNormalization
from tensorflow.python.keras._impl.keras.layers import Conv2D
from tensorflow.python.keras._impl.keras.layers import Dense
from tensorflow.python.keras._impl.keras.layers import GlobalAveragePooling2D
from tensorflow.python.keras._impl.keras.layers import GlobalMaxPooling2D
from tensorflow.python.keras._impl.keras.layers import Input
from tensorflow.python.keras._impl.keras.layers import MaxPooling2D
from tensorflow.python.keras._impl.keras.layers import SeparableConv2D
from tensorflow.python.keras._impl.keras.models import Model
from tensorflow.python.keras._impl.keras.utils.data_utils import get_file
from tensorflow.python.keras import backend as K
from tensorflow.python.keras import layers
from tensorflow.python.keras.applications import imagenet_utils
from tensorflow.python.keras.applications.imagenet_utils import _obtain_input_shape
from tensorflow.python.keras.applications.imagenet_utils import decode_predictions
from tensorflow.python.keras.engine.network import get_source_inputs
from tensorflow.python.keras.layers import Activation
from tensorflow.python.keras.layers import BatchNormalization
from tensorflow.python.keras.layers import Conv2D
from tensorflow.python.keras.layers import Dense
from tensorflow.python.keras.layers import GlobalAveragePooling2D
from tensorflow.python.keras.layers import GlobalMaxPooling2D
from tensorflow.python.keras.layers import Input
from tensorflow.python.keras.layers import MaxPooling2D
from tensorflow.python.keras.layers import SeparableConv2D
from tensorflow.python.keras.models import Model
from tensorflow.python.keras.utils.data_utils import get_file
from tensorflow.python.platform import tf_logging as logging
from tensorflow.python.util.tf_export import tf_export

View File

@ -1,27 +0,0 @@
# 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.
# ==============================================================================
"""Xception Keras application."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from tensorflow.python.keras._impl.keras.applications.xception import decode_predictions
from tensorflow.python.keras._impl.keras.applications.xception import preprocess_input
from tensorflow.python.keras._impl.keras.applications.xception import Xception
del absolute_import
del division
del print_function

View File

@ -20,7 +20,7 @@ from __future__ import print_function
import numpy as np
from tensorflow.python.keras._impl import keras
from tensorflow.python import keras
from tensorflow.python.platform import test

View File

@ -1,163 +0,0 @@
# 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 backend API."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
# pylint: disable=redefined-builtin
from tensorflow.python.keras._impl.keras.backend import abs
from tensorflow.python.keras._impl.keras.backend import all
from tensorflow.python.keras._impl.keras.backend import any
from tensorflow.python.keras._impl.keras.backend import arange
from tensorflow.python.keras._impl.keras.backend import argmax
from tensorflow.python.keras._impl.keras.backend import argmin
from tensorflow.python.keras._impl.keras.backend import backend
from tensorflow.python.keras._impl.keras.backend import batch_dot
from tensorflow.python.keras._impl.keras.backend import batch_flatten
from tensorflow.python.keras._impl.keras.backend import batch_get_value
from tensorflow.python.keras._impl.keras.backend import batch_normalization
from tensorflow.python.keras._impl.keras.backend import batch_set_value
from tensorflow.python.keras._impl.keras.backend import bias_add
from tensorflow.python.keras._impl.keras.backend import binary_crossentropy
from tensorflow.python.keras._impl.keras.backend import cast
from tensorflow.python.keras._impl.keras.backend import cast_to_floatx
from tensorflow.python.keras._impl.keras.backend import categorical_crossentropy
from tensorflow.python.keras._impl.keras.backend import clear_session
from tensorflow.python.keras._impl.keras.backend import clip
from tensorflow.python.keras._impl.keras.backend import concatenate
from tensorflow.python.keras._impl.keras.backend import constant
from tensorflow.python.keras._impl.keras.backend import conv1d
from tensorflow.python.keras._impl.keras.backend import conv2d
from tensorflow.python.keras._impl.keras.backend import conv2d_transpose
from tensorflow.python.keras._impl.keras.backend import conv3d
from tensorflow.python.keras._impl.keras.backend import cos
from tensorflow.python.keras._impl.keras.backend import count_params
from tensorflow.python.keras._impl.keras.backend import ctc_batch_cost
from tensorflow.python.keras._impl.keras.backend import ctc_decode
from tensorflow.python.keras._impl.keras.backend import ctc_label_dense_to_sparse
from tensorflow.python.keras._impl.keras.backend import dot
from tensorflow.python.keras._impl.keras.backend import dropout
from tensorflow.python.keras._impl.keras.backend import dtype
from tensorflow.python.keras._impl.keras.backend import elu
from tensorflow.python.keras._impl.keras.backend import epsilon
from tensorflow.python.keras._impl.keras.backend import equal
from tensorflow.python.keras._impl.keras.backend import eval
from tensorflow.python.keras._impl.keras.backend import exp
from tensorflow.python.keras._impl.keras.backend import expand_dims
from tensorflow.python.keras._impl.keras.backend import eye
from tensorflow.python.keras._impl.keras.backend import flatten
from tensorflow.python.keras._impl.keras.backend import floatx
from tensorflow.python.keras._impl.keras.backend import foldl
from tensorflow.python.keras._impl.keras.backend import foldr
from tensorflow.python.keras._impl.keras.backend import function
from tensorflow.python.keras._impl.keras.backend import gather
from tensorflow.python.keras._impl.keras.backend import get_session
from tensorflow.python.keras._impl.keras.backend import get_uid
from tensorflow.python.keras._impl.keras.backend import get_value
from tensorflow.python.keras._impl.keras.backend import gradients
from tensorflow.python.keras._impl.keras.backend import greater
from tensorflow.python.keras._impl.keras.backend import greater_equal
from tensorflow.python.keras._impl.keras.backend import hard_sigmoid
from tensorflow.python.keras._impl.keras.backend import image_data_format
from tensorflow.python.keras._impl.keras.backend import in_test_phase
from tensorflow.python.keras._impl.keras.backend import in_top_k
from tensorflow.python.keras._impl.keras.backend import in_train_phase
from tensorflow.python.keras._impl.keras.backend import int_shape
from tensorflow.python.keras._impl.keras.backend import is_sparse
from tensorflow.python.keras._impl.keras.backend import l2_normalize
from tensorflow.python.keras._impl.keras.backend import learning_phase
from tensorflow.python.keras._impl.keras.backend import less
from tensorflow.python.keras._impl.keras.backend import less_equal
from tensorflow.python.keras._impl.keras.backend import log
from tensorflow.python.keras._impl.keras.backend import manual_variable_initialization
from tensorflow.python.keras._impl.keras.backend import map_fn
from tensorflow.python.keras._impl.keras.backend import max
from tensorflow.python.keras._impl.keras.backend import maximum
from tensorflow.python.keras._impl.keras.backend import mean
from tensorflow.python.keras._impl.keras.backend import min
from tensorflow.python.keras._impl.keras.backend import minimum
from tensorflow.python.keras._impl.keras.backend import moving_average_update
from tensorflow.python.keras._impl.keras.backend import name_scope
from tensorflow.python.keras._impl.keras.backend import ndim
from tensorflow.python.keras._impl.keras.backend import normalize_batch_in_training
from tensorflow.python.keras._impl.keras.backend import not_equal
from tensorflow.python.keras._impl.keras.backend import one_hot
from tensorflow.python.keras._impl.keras.backend import ones
from tensorflow.python.keras._impl.keras.backend import ones_like
from tensorflow.python.keras._impl.keras.backend import permute_dimensions
from tensorflow.python.keras._impl.keras.backend import placeholder
from tensorflow.python.keras._impl.keras.backend import pool2d
from tensorflow.python.keras._impl.keras.backend import pool3d
from tensorflow.python.keras._impl.keras.backend import pow
from tensorflow.python.keras._impl.keras.backend import print_tensor
from tensorflow.python.keras._impl.keras.backend import prod
from tensorflow.python.keras._impl.keras.backend import random_binomial
from tensorflow.python.keras._impl.keras.backend import random_normal
from tensorflow.python.keras._impl.keras.backend import random_normal_variable
from tensorflow.python.keras._impl.keras.backend import random_uniform
from tensorflow.python.keras._impl.keras.backend import random_uniform_variable
from tensorflow.python.keras._impl.keras.backend import relu
from tensorflow.python.keras._impl.keras.backend import repeat
from tensorflow.python.keras._impl.keras.backend import repeat_elements
from tensorflow.python.keras._impl.keras.backend import reset_uids
from tensorflow.python.keras._impl.keras.backend import reshape
from tensorflow.python.keras._impl.keras.backend import resize_images
from tensorflow.python.keras._impl.keras.backend import resize_volumes
from tensorflow.python.keras._impl.keras.backend import reverse
from tensorflow.python.keras._impl.keras.backend import rnn
from tensorflow.python.keras._impl.keras.backend import round
from tensorflow.python.keras._impl.keras.backend import separable_conv2d
from tensorflow.python.keras._impl.keras.backend import set_epsilon
from tensorflow.python.keras._impl.keras.backend import set_floatx
from tensorflow.python.keras._impl.keras.backend import set_image_data_format
from tensorflow.python.keras._impl.keras.backend import set_learning_phase
from tensorflow.python.keras._impl.keras.backend import set_session
from tensorflow.python.keras._impl.keras.backend import set_value
from tensorflow.python.keras._impl.keras.backend import shape
from tensorflow.python.keras._impl.keras.backend import sigmoid
from tensorflow.python.keras._impl.keras.backend import sign
from tensorflow.python.keras._impl.keras.backend import sin
from tensorflow.python.keras._impl.keras.backend import softmax
from tensorflow.python.keras._impl.keras.backend import softplus
from tensorflow.python.keras._impl.keras.backend import softsign
from tensorflow.python.keras._impl.keras.backend import sparse_categorical_crossentropy
from tensorflow.python.keras._impl.keras.backend import spatial_2d_padding
from tensorflow.python.keras._impl.keras.backend import spatial_3d_padding
from tensorflow.python.keras._impl.keras.backend import sqrt
from tensorflow.python.keras._impl.keras.backend import square
from tensorflow.python.keras._impl.keras.backend import squeeze
from tensorflow.python.keras._impl.keras.backend import stack
from tensorflow.python.keras._impl.keras.backend import std
from tensorflow.python.keras._impl.keras.backend import stop_gradient
from tensorflow.python.keras._impl.keras.backend import sum
from tensorflow.python.keras._impl.keras.backend import switch
from tensorflow.python.keras._impl.keras.backend import tanh
from tensorflow.python.keras._impl.keras.backend import temporal_padding
from tensorflow.python.keras._impl.keras.backend import to_dense
from tensorflow.python.keras._impl.keras.backend import transpose
from tensorflow.python.keras._impl.keras.backend import truncated_normal
from tensorflow.python.keras._impl.keras.backend import update
from tensorflow.python.keras._impl.keras.backend import update_add
from tensorflow.python.keras._impl.keras.backend import update_sub
from tensorflow.python.keras._impl.keras.backend import var
from tensorflow.python.keras._impl.keras.backend import variable
from tensorflow.python.keras._impl.keras.backend import zeros
from tensorflow.python.keras._impl.keras.backend import zeros_like
del absolute_import
del division
del print_function

View File

@ -20,8 +20,8 @@ from __future__ import print_function
import numpy as np
import scipy.sparse
from tensorflow.python import keras
from tensorflow.python.framework import sparse_tensor
from tensorflow.python.keras._impl import keras
from tensorflow.python.ops import variables
from tensorflow.python.platform import test
from tensorflow.python.util import tf_inspect

View File

@ -30,8 +30,8 @@ import time
import numpy as np
import six
from tensorflow.python.keras._impl.keras import backend as K
from tensorflow.python.keras._impl.keras.utils.generic_utils import Progbar
from tensorflow.python.keras import backend as K
from tensorflow.python.keras.utils.generic_utils import Progbar
from tensorflow.python.ops import array_ops
from tensorflow.python.platform import tf_logging as logging
from tensorflow.python.summary import summary as tf_summary

View File

@ -1,37 +0,0 @@
# 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 callback classes."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from tensorflow.python.keras._impl.keras.callbacks import BaseLogger
from tensorflow.python.keras._impl.keras.callbacks import Callback
from tensorflow.python.keras._impl.keras.callbacks import CSVLogger
from tensorflow.python.keras._impl.keras.callbacks import EarlyStopping
from tensorflow.python.keras._impl.keras.callbacks import History
from tensorflow.python.keras._impl.keras.callbacks import LambdaCallback
from tensorflow.python.keras._impl.keras.callbacks import LearningRateScheduler
from tensorflow.python.keras._impl.keras.callbacks import ModelCheckpoint
from tensorflow.python.keras._impl.keras.callbacks import ProgbarLogger
from tensorflow.python.keras._impl.keras.callbacks import ReduceLROnPlateau
from tensorflow.python.keras._impl.keras.callbacks import RemoteMonitor
from tensorflow.python.keras._impl.keras.callbacks import TensorBoard
from tensorflow.python.keras._impl.keras.callbacks import TerminateOnNaN
del absolute_import
del division
del print_function

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@ -27,8 +27,8 @@ import unittest
import numpy as np
from tensorflow.python.keras._impl import keras
from tensorflow.python.keras._impl.keras import testing_utils
from tensorflow.python import keras
from tensorflow.python.keras import testing_utils
from tensorflow.python.platform import test
from tensorflow.python.platform import tf_logging as logging
from tensorflow.python.summary.writer import writer_cache

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@ -21,9 +21,9 @@ from __future__ import print_function
import six
from tensorflow.python.keras._impl.keras import backend as K
from tensorflow.python.keras._impl.keras.utils.generic_utils import deserialize_keras_object
from tensorflow.python.keras._impl.keras.utils.generic_utils import serialize_keras_object
from tensorflow.python.keras import backend as K
from tensorflow.python.keras.utils.generic_utils import deserialize_keras_object
from tensorflow.python.keras.utils.generic_utils import serialize_keras_object
from tensorflow.python.ops import math_ops
from tensorflow.python.util.tf_export import tf_export

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@ -1,40 +0,0 @@
# 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 built-in constraints functions."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
# Constraints functions / callable classes.
from tensorflow.python.keras._impl.keras.constraints import Constraint
from tensorflow.python.keras._impl.keras.constraints import max_norm
from tensorflow.python.keras._impl.keras.constraints import MaxNorm
from tensorflow.python.keras._impl.keras.constraints import min_max_norm
from tensorflow.python.keras._impl.keras.constraints import MinMaxNorm
from tensorflow.python.keras._impl.keras.constraints import non_neg
from tensorflow.python.keras._impl.keras.constraints import NonNeg
from tensorflow.python.keras._impl.keras.constraints import unit_norm
from tensorflow.python.keras._impl.keras.constraints import UnitNorm
# Auxiliary utils.
# pylint: disable=g-bad-import-order
from tensorflow.python.keras._impl.keras.constraints import deserialize
from tensorflow.python.keras._impl.keras.constraints import serialize
from tensorflow.python.keras._impl.keras.constraints import get
del absolute_import
del division
del print_function

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@ -20,7 +20,7 @@ from __future__ import print_function
import numpy as np
from tensorflow.python.keras._impl import keras
from tensorflow.python import keras
from tensorflow.python.platform import test

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@ -20,7 +20,7 @@ from __future__ import print_function
import numpy as np
from tensorflow.python.keras._impl.keras.utils.data_utils import get_file
from tensorflow.python.keras.utils.data_utils import get_file
from tensorflow.python.util.tf_export import tf_export

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@ -1,25 +0,0 @@
# 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.
# ==============================================================================
"""Boston housing price regression dataset."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from tensorflow.python.keras._impl.keras.datasets.boston_housing import load_data
del absolute_import
del division
del print_function

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@ -22,9 +22,9 @@ import os
import numpy as np
from tensorflow.python.keras._impl.keras import backend as K
from tensorflow.python.keras._impl.keras.datasets.cifar import load_batch
from tensorflow.python.keras._impl.keras.utils.data_utils import get_file
from tensorflow.python.keras import backend as K
from tensorflow.python.keras.datasets.cifar import load_batch
from tensorflow.python.keras.utils.data_utils import get_file
from tensorflow.python.util.tf_export import tf_export

View File

@ -1,25 +0,0 @@
# 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.
# ==============================================================================
"""CIFAR10 small image classification dataset."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from tensorflow.python.keras._impl.keras.datasets.cifar10 import load_data
del absolute_import
del division
del print_function

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@ -22,9 +22,9 @@ import os
import numpy as np
from tensorflow.python.keras._impl.keras import backend as K
from tensorflow.python.keras._impl.keras.datasets.cifar import load_batch
from tensorflow.python.keras._impl.keras.utils.data_utils import get_file
from tensorflow.python.keras import backend as K
from tensorflow.python.keras.datasets.cifar import load_batch
from tensorflow.python.keras.utils.data_utils import get_file
from tensorflow.python.util.tf_export import tf_export

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@ -1,25 +0,0 @@
# 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.
# ==============================================================================
"""CIFAR100 small image classification dataset."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from tensorflow.python.keras._impl.keras.datasets.cifar100 import load_data
del absolute_import
del division
del print_function

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@ -23,7 +23,7 @@ import os
import numpy as np
from tensorflow.python.keras._impl.keras.utils.data_utils import get_file
from tensorflow.python.keras.utils.data_utils import get_file
from tensorflow.python.util.tf_export import tf_export

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@ -1,25 +0,0 @@
# Copyright 2018 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.
# ==============================================================================
"""Fashion-MNIST dataset."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from tensorflow.python.keras._impl.keras.datasets.fashion_mnist import load_data
del absolute_import
del division
del print_function

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