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chore: import upstream snapshot with attribution
2026-07-13 12:14:16 +08:00

105 lines
3.5 KiB
Python

# Description:
# Contains the Keras OptimizerV2 API (internal TensorFlow version).
load("@xla//third_party/rules_python/python:defs.bzl", "py_library")
package(
# copybara:uncomment default_applicable_licenses = ["//tensorflow:license"],
# TODO(scottzhu): Remove non-keras deps from TF.
default_visibility = [
"//tensorflow/python:__pkg__",
"//tensorflow/python/distribute:__pkg__",
"//tensorflow/python/keras:__subpackages__",
"//tensorflow/python/tpu/tests:__pkg__",
"//tensorflow/python/trackable:__pkg__",
"//tensorflow/python/training:__pkg__",
],
licenses = ["notice"],
)
filegroup(
name = "all_py_srcs",
srcs = glob(["*.py"]),
visibility = ["//tensorflow/python/keras/google/private_tf_api_test:__pkg__"],
)
py_library(
name = "optimizer_v2",
srcs = [
"adadelta.py",
"adagrad.py",
"adam.py",
"adamax.py",
"ftrl.py",
"gradient_descent.py",
"nadam.py",
"optimizer_v2.py",
"rmsprop.py",
"utils.py",
],
srcs_version = "PY3",
strict_deps = False,
deps = [
":learning_rate_schedule",
"//tensorflow/python/distribute:central_storage_strategy",
"//tensorflow/python/distribute:distribute_lib",
"//tensorflow/python/distribute:parameter_server_strategy",
"//tensorflow/python/distribute:parameter_server_strategy_v2",
"//tensorflow/python/distribute:reduce_util",
"//tensorflow/python/distribute:values",
"//tensorflow/python/framework:dtypes",
"//tensorflow/python/framework:indexed_slices",
"//tensorflow/python/framework:ops",
"//tensorflow/python/framework:tensor",
"//tensorflow/python/framework:tensor_conversion",
"//tensorflow/python/keras:backend",
"//tensorflow/python/keras:backend_config",
"//tensorflow/python/keras/engine:base_layer_utils",
"//tensorflow/python/keras/initializers",
"//tensorflow/python/keras/utils:layer_utils",
"//tensorflow/python/keras/utils:tf_utils",
"//tensorflow/python/ops:control_flow_ops",
"//tensorflow/python/ops:math_ops",
"//tensorflow/python/ops:resource_variable_ops",
"//tensorflow/python/ops:state_ops",
"//tensorflow/python/ops:variable_scope",
"//tensorflow/python/ops:variables",
],
)
py_library(
name = "learning_rate_schedule",
srcs = [
"learning_rate_schedule.py",
],
srcs_version = "PY3",
strict_deps = False,
deps = [
"//tensorflow/python/framework:constant_op",
"//tensorflow/python/framework:ops",
"//tensorflow/python/framework:tensor_conversion",
"//tensorflow/python/keras/utils:generic_utils",
"//tensorflow/python/ops:array_ops",
"//tensorflow/python/ops:cond",
"//tensorflow/python/ops:control_flow_case",
"//tensorflow/python/ops:math_ops",
"//tensorflow/python/ops:random_ops",
],
)
py_library(
name = "legacy_learning_rate_decay",
srcs = ["legacy_learning_rate_decay.py"],
srcs_version = "PY3",
strict_deps = False,
deps = [
":learning_rate_schedule",
"//tensorflow/python/eager:context",
"//tensorflow/python/framework:dtypes",
"//tensorflow/python/framework:ops",
"//tensorflow/python/framework:tensor_conversion",
"//tensorflow/python/ops:math_ops",
"//tensorflow/python/util:tf_export",
],
)