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120 lines
4.3 KiB
Python
120 lines
4.3 KiB
Python
# Copyright 2026 The TensorFlow Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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# ==============================================================================
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# Description:
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# Utilities for sharding object-based checkpoints.
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load("//tensorflow:pytype.default.bzl", "pytype_strict_library")
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load("//tensorflow:tensorflow.default.bzl", "tf_py_strict_test")
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package(
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# copybara:uncomment default_applicable_licenses = ["//tensorflow:license"],
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default_visibility = [
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"//tensorflow:internal",
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],
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licenses = ["notice"],
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)
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pytype_strict_library(
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name = "sharding_policies",
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srcs = ["sharding_policies.py"],
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deps = [
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":sharding_util",
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"//tensorflow/python/eager:context",
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"//tensorflow/python/framework:device",
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"//tensorflow/python/framework:dtypes",
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"//tensorflow/python/framework:ops",
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"//tensorflow/python/framework:tensor",
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"//tensorflow/python/framework:tensor_shape",
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"//tensorflow/python/ops:array_ops",
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"//tensorflow/python/ops:string_ops",
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"//tensorflow/python/ops:variables",
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"//tensorflow/python/trackable:base",
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"//tensorflow/python/util:tf_export",
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"@absl_py//absl/logging",
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],
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)
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tf_py_strict_test(
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name = "sharding_policies_test",
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srcs = ["sharding_policies_test.py"],
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tags = [
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"notap",
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"oss_excluded",
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], # See b/455621783.
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deps = [
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":sharding_policies",
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":sharding_util",
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"//tensorflow/python/checkpoint",
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"//tensorflow/python/checkpoint:checkpoint_options",
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"//tensorflow/python/checkpoint:graph_view",
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"//tensorflow/python/eager:def_function",
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"//tensorflow/python/eager:remote",
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"//tensorflow/python/eager:test",
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"//tensorflow/python/framework:device",
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"//tensorflow/python/framework:dtypes",
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"//tensorflow/python/framework:ops",
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"//tensorflow/python/framework:tensor_shape",
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"//tensorflow/python/framework:test_lib",
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"//tensorflow/python/module",
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"//tensorflow/python/ops:variables",
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"//tensorflow/python/platform:gfile",
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"//tensorflow/python/training:server_lib",
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"//tensorflow/python/training/saving:saveable_object",
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"//tensorflow/python/training/saving:saveable_object_util",
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"@absl_py//absl/logging",
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],
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)
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pytype_strict_library(
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name = "sharding_util",
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srcs = ["sharding_util.py"],
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deps = [
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"//tensorflow/python/framework:device",
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"//tensorflow/python/framework:dtypes",
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"//tensorflow/python/framework:tensor",
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"//tensorflow/python/framework:tensor_shape",
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"//tensorflow/python/framework:tensor_spec",
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"//tensorflow/python/ops:variables",
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"//tensorflow/python/trackable:base",
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"//tensorflow/python/training/saving:saveable_object",
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"//tensorflow/python/util:tf_export",
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],
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)
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tf_py_strict_test(
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name = "sharding_util_test",
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srcs = ["sharding_util_test.py"],
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deps = [
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":sharding_policies",
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":sharding_util",
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"//tensorflow/python/checkpoint",
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"//tensorflow/python/checkpoint:graph_view",
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"//tensorflow/python/eager:remote",
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"//tensorflow/python/eager:test",
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"//tensorflow/python/framework:device",
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"//tensorflow/python/framework:dtypes",
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"//tensorflow/python/framework:ops",
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"//tensorflow/python/framework:tensor",
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"//tensorflow/python/module",
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"//tensorflow/python/ops:array_ops",
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"//tensorflow/python/ops:math_ops",
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"//tensorflow/python/ops:resource_variable_ops",
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"//tensorflow/python/training:server_lib",
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"//tensorflow/python/training/saving:saveable_object",
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"//tensorflow/python/training/saving:saveable_object_util",
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],
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)
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