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

105 lines
3.6 KiB
Python

# Description:
# Utilities for sharding object-based checkpoints.
load("//tensorflow:pytype.default.bzl", "pytype_strict_library")
load("//tensorflow:tensorflow.default.bzl", "tf_py_strict_test")
package(
# copybara:uncomment default_applicable_licenses = ["//tensorflow:license"],
default_visibility = [
"//tensorflow:internal",
],
licenses = ["notice"],
)
pytype_strict_library(
name = "sharding_policies",
srcs = ["sharding_policies.py"],
deps = [
":sharding_util",
"//tensorflow/python/eager:context",
"//tensorflow/python/framework:device",
"//tensorflow/python/framework:dtypes",
"//tensorflow/python/framework:ops",
"//tensorflow/python/framework:tensor",
"//tensorflow/python/framework:tensor_shape",
"//tensorflow/python/ops:array_ops",
"//tensorflow/python/ops:string_ops",
"//tensorflow/python/ops:variables",
"//tensorflow/python/trackable:base",
"//tensorflow/python/util:tf_export",
"@absl_py//absl/logging",
],
)
tf_py_strict_test(
name = "sharding_policies_test",
srcs = ["sharding_policies_test.py"],
tags = [
"notap",
"oss_excluded",
], # See b/455621783.
deps = [
":sharding_policies",
":sharding_util",
"//tensorflow/python/checkpoint",
"//tensorflow/python/checkpoint:checkpoint_options",
"//tensorflow/python/checkpoint:graph_view",
"//tensorflow/python/eager:def_function",
"//tensorflow/python/eager:remote",
"//tensorflow/python/eager:test",
"//tensorflow/python/framework:device",
"//tensorflow/python/framework:dtypes",
"//tensorflow/python/framework:ops",
"//tensorflow/python/framework:tensor_shape",
"//tensorflow/python/framework:test_lib",
"//tensorflow/python/module",
"//tensorflow/python/ops:variables",
"//tensorflow/python/platform:gfile",
"//tensorflow/python/training:server_lib",
"//tensorflow/python/training/saving:saveable_object",
"//tensorflow/python/training/saving:saveable_object_util",
"@absl_py//absl/logging",
],
)
pytype_strict_library(
name = "sharding_util",
srcs = ["sharding_util.py"],
deps = [
"//tensorflow/python/framework:device",
"//tensorflow/python/framework:dtypes",
"//tensorflow/python/framework:tensor",
"//tensorflow/python/framework:tensor_shape",
"//tensorflow/python/framework:tensor_spec",
"//tensorflow/python/ops:variables",
"//tensorflow/python/trackable:base",
"//tensorflow/python/training/saving:saveable_object",
"//tensorflow/python/util:tf_export",
],
)
tf_py_strict_test(
name = "sharding_util_test",
srcs = ["sharding_util_test.py"],
deps = [
":sharding_policies",
":sharding_util",
"//tensorflow/python/checkpoint",
"//tensorflow/python/checkpoint:graph_view",
"//tensorflow/python/eager:remote",
"//tensorflow/python/eager:test",
"//tensorflow/python/framework:device",
"//tensorflow/python/framework:dtypes",
"//tensorflow/python/framework:ops",
"//tensorflow/python/framework:tensor",
"//tensorflow/python/module",
"//tensorflow/python/ops:array_ops",
"//tensorflow/python/ops:math_ops",
"//tensorflow/python/ops:resource_variable_ops",
"//tensorflow/python/training:server_lib",
"//tensorflow/python/training/saving:saveable_object",
"//tensorflow/python/training/saving:saveable_object_util",
],
)