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Python

# 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.
# ==============================================================================
# Description:
# Contains the Keras Mixed Precision API (TensorFlow version).
load("@xla//third_party/rules_python/python:defs.bzl", "py_library")
package(
# copybara:uncomment default_applicable_licenses = ["//tensorflow:license"],
default_visibility = [
# TODO(scottzhu): Remove these two deps and convert the test to integration test.
"//tensorflow/python/distribute:__pkg__", # For collective_all_reduce_strategy_test
"//tensorflow/python/keras:__subpackages__",
"//tensorflow/tools/pip_package:__pkg__",
"//tensorflow/tools/pip_package:__subpackages__",
],
licenses = ["notice"],
)
filegroup(
name = "all_py_srcs",
srcs = glob(["*.py"]),
visibility = ["//tensorflow/python/keras/google/private_tf_api_test:__pkg__"],
)
py_library(
name = "mixed_precision_experimental",
srcs = ["__init__.py"],
srcs_version = "PY3",
strict_deps = False,
deps = [
":get_layer_policy",
":loss_scale_optimizer",
":policy",
],
)
py_library(
name = "policy",
srcs = [
"policy.py",
],
srcs_version = "PY3",
strict_deps = False,
deps = [
":device_compatibility_check",
"//tensorflow/python/framework:dtypes",
"//tensorflow/python/platform:tf_logging",
"//tensorflow/python/training/experimental:mixed_precision_global_state",
],
)
py_library(
name = "device_compatibility_check",
srcs = ["device_compatibility_check.py"],
srcs_version = "PY3",
strict_deps = False,
deps = [
"//tensorflow/python/framework:config",
],
)
py_library(
name = "get_layer_policy",
srcs = ["get_layer_policy.py"],
srcs_version = "PY3",
strict_deps = False,
deps = [
"//tensorflow/python/keras/engine:base_layer",
],
)
py_library(
name = "autocast_variable",
srcs = [
"autocast_variable.py",
],
srcs_version = "PY3",
strict_deps = False,
deps = [
"//tensorflow/python/distribute:distribute_utils",
"//tensorflow/python/distribute:ps_values",
"//tensorflow/python/eager:context",
"//tensorflow/python/framework:ops",
"//tensorflow/python/framework:tensor_conversion",
"//tensorflow/python/framework:tensor_conversion_registry",
"//tensorflow/python/framework:tensor_shape",
"//tensorflow/python/keras/distribute",
"//tensorflow/python/ops:math_ops",
"//tensorflow/python/ops:resource_variable_ops",
"//tensorflow/python/ops:variables",
"//tensorflow/python/types:core",
],
)
py_library(
name = "loss_scale",
srcs = ["loss_scale.py"],
srcs_version = "PY3",
strict_deps = False,
deps = [
"//tensorflow/python/keras/utils:generic_utils",
"//tensorflow/python/training/experimental:loss_scale",
],
)
py_library(
name = "loss_scale_optimizer",
srcs = ["loss_scale_optimizer.py"],
srcs_version = "PY3",
strict_deps = False,
deps = [
":loss_scale",
"//tensorflow/python/distribute:collective_all_reduce_strategy",
"//tensorflow/python/distribute:distribute_lib",
"//tensorflow/python/distribute:mirrored_strategy",
"//tensorflow/python/distribute:one_device_strategy",
"//tensorflow/python/distribute:tpu_strategy",
"//tensorflow/python/framework:tensor_conversion",
"//tensorflow/python/keras/optimizer_v2",
"//tensorflow/python/ops:cond",
"//tensorflow/python/ops:variable_v1",
"//tensorflow/python/trackable:base_delegate",
"@absl_py//absl/testing:parameterized",
],
)
py_library(
name = "test_util",
srcs = ["test_util.py"],
srcs_version = "PY3",
strict_deps = False,
deps = [
"//tensorflow/python/framework:dtypes",
"//tensorflow/python/framework:ops",
"//tensorflow/python/framework:tensor_conversion",
"//tensorflow/python/keras",
"//tensorflow/python/ops:cond",
],
)