This is a purely mechanical change. All that is done is: * Deleted python/keras/mixed_precision/experimental/__init__.py * All other files in python/keras/mixed_precision/experimental/ are moved one directly up, out of the experimental/ folder * All Python imports, BUILD dependencies, and other references to the old experimental files are adjusted to refer to the new location This changes the API golden files, but there is no API change. The golden files referred to the full paths of the classes in "is_instance" sections, and the full paths have changed. PiperOrigin-RevId: 338345459 Change-Id: I9eefc2bea49b71f26ef7ec3563364a3f1d54abe6
151 lines
6.1 KiB
Python
151 lines
6.1 KiB
Python
# Description:
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# Package for TensorFlow.
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load("//tensorflow/python/tools/api/generator:api_gen.bzl", "gen_api_init_files")
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load("//tensorflow/python/tools/api/generator:api_init_files.bzl", "KERAS_API_INIT_FILES")
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load("//tensorflow/python/tools/api/generator:api_init_files_v1.bzl", "KERAS_API_INIT_FILES_V1")
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package(
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default_visibility = [
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"//tensorflow:tensorflow_py",
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],
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licenses = ["notice"], # Apache 2.0 License
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)
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keras_packages = [
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"tensorflow.python",
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"tensorflow.python.keras",
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"tensorflow.python.keras.activations",
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"tensorflow.python.keras.applications.densenet",
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"tensorflow.python.keras.applications.efficientnet",
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"tensorflow.python.keras.applications.imagenet_utils",
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"tensorflow.python.keras.applications.inception_resnet_v2",
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"tensorflow.python.keras.applications.inception_v3",
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"tensorflow.python.keras.applications.mobilenet",
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"tensorflow.python.keras.applications.mobilenet_v2",
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"tensorflow.python.keras.applications.mobilenet_v3",
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"tensorflow.python.keras.applications.nasnet",
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"tensorflow.python.keras.applications.resnet",
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"tensorflow.python.keras.applications.resnet_v2",
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"tensorflow.python.keras.applications.vgg16",
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"tensorflow.python.keras.applications.vgg19",
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"tensorflow.python.keras.applications.xception",
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"tensorflow.python.keras.backend",
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"tensorflow.python.keras.backend_config",
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"tensorflow.python.keras.callbacks",
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"tensorflow.python.keras.callbacks_v1",
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"tensorflow.python.keras.constraints",
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"tensorflow.python.keras.datasets.boston_housing",
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"tensorflow.python.keras.datasets.cifar10",
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"tensorflow.python.keras.datasets.cifar100",
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"tensorflow.python.keras.datasets.fashion_mnist",
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"tensorflow.python.keras.datasets.imdb",
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"tensorflow.python.keras.datasets.mnist",
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"tensorflow.python.keras.datasets.reuters",
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"tensorflow.python.keras.engine.base_layer",
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"tensorflow.python.keras.engine.data_adapter",
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"tensorflow.python.keras.engine.input_layer",
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"tensorflow.python.keras.engine.input_spec",
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"tensorflow.python.keras.engine.sequential",
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"tensorflow.python.keras.engine.training",
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"tensorflow.python.keras.estimator",
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"tensorflow.python.keras.feature_column.sequence_feature_column",
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"tensorflow.python.keras.initializers",
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"tensorflow.python.keras.initializers.initializers_v1",
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"tensorflow.python.keras.initializers.initializers_v2",
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"tensorflow.python.keras.layers.advanced_activations",
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"tensorflow.python.keras.layers.convolutional",
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"tensorflow.python.keras.layers.convolutional_recurrent",
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"tensorflow.python.keras.layers.core",
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"tensorflow.python.keras.layers.cudnn_recurrent",
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"tensorflow.python.keras.layers.dense_attention",
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"tensorflow.python.keras.layers.embeddings",
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"tensorflow.python.keras.layers.local",
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"tensorflow.python.keras.layers.merge",
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"tensorflow.python.keras.layers.noise",
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"tensorflow.python.keras.layers.normalization",
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"tensorflow.python.keras.layers.normalization_v2",
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"tensorflow.python.keras.layers.preprocessing",
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"tensorflow.python.keras.layers.pooling",
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"tensorflow.python.keras.layers.recurrent",
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"tensorflow.python.keras.layers.recurrent_v2",
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"tensorflow.python.keras.layers.serialization",
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"tensorflow.python.keras.layers.wrappers",
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"tensorflow.python.keras.losses",
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"tensorflow.python.keras.metrics",
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"tensorflow.python.keras.mixed_precision.get_layer_policy",
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"tensorflow.python.keras.mixed_precision.loss_scale_optimizer",
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"tensorflow.python.keras.mixed_precision.policy",
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"tensorflow.python.keras.models",
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"tensorflow.python.keras.optimizer_v2.adadelta",
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"tensorflow.python.keras.optimizer_v2.adagrad",
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"tensorflow.python.keras.optimizer_v2.adam",
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"tensorflow.python.keras.optimizer_v2.adamax",
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"tensorflow.python.keras.optimizer_v2.ftrl",
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"tensorflow.python.keras.optimizer_v2.gradient_descent",
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"tensorflow.python.keras.optimizer_v2.learning_rate_schedule",
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"tensorflow.python.keras.optimizer_v2.nadam",
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"tensorflow.python.keras.optimizer_v2.optimizer_v2",
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"tensorflow.python.keras.optimizer_v2.rmsprop",
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"tensorflow.python.keras.optimizers",
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"tensorflow.python.keras.premade.linear",
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"tensorflow.python.keras.premade.wide_deep",
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"tensorflow.python.keras.preprocessing.image",
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"tensorflow.python.keras.preprocessing.sequence",
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"tensorflow.python.keras.preprocessing.text",
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"tensorflow.python.keras.regularizers",
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"tensorflow.python.keras.saving.model_config",
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"tensorflow.python.keras.saving.save",
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"tensorflow.python.keras.saving.saved_model_experimental",
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"tensorflow.python.keras.utils.data_utils",
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"tensorflow.python.keras.utils.generic_utils",
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"tensorflow.python.keras.utils.io_utils",
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"tensorflow.python.keras.utils.layer_utils",
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"tensorflow.python.keras.utils.losses_utils",
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"tensorflow.python.keras.utils.multi_gpu_utils",
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"tensorflow.python.keras.utils.np_utils",
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"tensorflow.python.keras.utils.vis_utils",
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"tensorflow.python.keras.wrappers.scikit_learn",
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]
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gen_api_init_files(
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name = "keras_python_api_gen",
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api_name = "keras",
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api_version = 1,
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output_files = KERAS_API_INIT_FILES_V1,
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output_package = "tensorflow.python.keras.api",
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package_deps = [
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"//tensorflow/python/keras",
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"//tensorflow/python:no_contrib",
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],
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packages = keras_packages,
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)
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gen_api_init_files(
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name = "keras_python_api_gen_compat_v1",
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api_name = "keras",
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api_version = 1,
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output_dir = "_v1/",
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output_files = KERAS_API_INIT_FILES_V1,
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output_package = "tensorflow.python.keras.api._v1",
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package_deps = [
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"//tensorflow/python/keras",
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"//tensorflow/python:no_contrib",
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],
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packages = keras_packages,
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)
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gen_api_init_files(
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name = "keras_python_api_gen_compat_v2",
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api_name = "keras",
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api_version = 2,
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output_dir = "_v2/",
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output_files = KERAS_API_INIT_FILES,
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output_package = "tensorflow.python.keras.api._v2",
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package_deps = [
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"//tensorflow/python/keras",
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"//tensorflow/python:no_contrib",
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],
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packages = keras_packages,
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)
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