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

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# Description:
# Tools for manipulating TensorFlow graphs.
load("@rules_shell//shell:sh_test.bzl", "sh_test")
load("@xla//third_party/rules_python/python:py_binary.bzl", "py_binary")
load("@xla//third_party/rules_python/python:py_library.bzl", "py_library")
load("//tensorflow:tensorflow.bzl", "if_google", "if_xla_available", "py_test", "tf_cc_test", "tf_py_test")
load("//tensorflow/core/platform:build_config_root.bzl", "if_pywrap")
load("//tensorflow/python/tools:tools.bzl", "saved_model_compile_aot")
package(
# copybara:uncomment default_applicable_licenses = ["//tensorflow:license"],
default_visibility = ["//visibility:public"],
licenses = ["notice"],
)
# Transitive dependencies of this target will be included in the pip package.
py_library(
name = "tools_pip",
data = [
# Include the TF upgrade script to users can run it directly after install TF
"//tensorflow/tools/compatibility:tf_upgrade_v2",
],
strict_deps = True,
deps = [
":saved_model_aot_compile",
":saved_model_utils",
# The following py_library are needed because
# py_binary may not depend on them when --define=no_tensorflow_py_deps=true
# is specified. See https://github.com/tensorflow/tensorflow/issues/22390
":freeze_graph_lib",
":optimize_for_inference_lib",
":selective_registration_header_lib",
":strip_unused_lib",
":freeze_graph",
":import_pb_to_tensorboard",
":inspect_checkpoint",
":optimize_for_inference",
":print_selective_registration_header",
":saved_model_cli",
":strip_unused",
],
)
py_library(
name = "saved_model_utils",
srcs = ["saved_model_utils.py"],
strict_deps = True,
deps = [
"//tensorflow/core:protos_all_py",
"//tensorflow/python/lib/io:file_io",
"//tensorflow/python/saved_model:constants",
"//tensorflow/python/util:compat",
],
)
py_test(
name = "saved_model_utils_test",
size = "small",
srcs = ["saved_model_utils_test.py"],
strict_deps = True,
tags = ["no_windows"], # TODO: needs investigation on Windows
visibility = ["//visibility:private"],
deps = [
":saved_model_utils",
# copybara:uncomment "//third_party/py/google/protobuf:use_fast_cpp_protos",
"//tensorflow/python/framework:ops",
"//tensorflow/python/framework:test_lib",
"//tensorflow/python/lib/io:file_io",
"//tensorflow/python/ops:variables",
"//tensorflow/python/platform:client_testlib",
"//tensorflow/python/saved_model:builder",
"//tensorflow/python/saved_model:tag_constants",
],
)
py_library(
name = "freeze_graph_lib",
srcs = ["freeze_graph.py"],
strict_deps = True,
deps = [
":saved_model_utils",
"//tensorflow/core:protos_all_py",
"//tensorflow/python/checkpoint:checkpoint_management",
"//tensorflow/python/client:session",
"//tensorflow/python/framework:convert_to_constants",
"//tensorflow/python/framework:importer",
"//tensorflow/python/platform:gfile",
"//tensorflow/python/saved_model:loader",
"//tensorflow/python/saved_model:tag_constants",
"//tensorflow/python/training:py_checkpoint_reader",
"//tensorflow/python/training:saver",
"@absl_py//absl:app",
],
)
py_binary(
name = "freeze_graph",
srcs = ["freeze_graph.py"],
strict_deps = True,
deps = [":freeze_graph_lib"] + if_pywrap(
if_true = ["//tensorflow/python:_pywrap_tensorflow"],
),
)
py_binary(
name = "import_pb_to_tensorboard",
srcs = ["import_pb_to_tensorboard.py"],
strict_deps = True,
deps = [":import_pb_to_tensorboard_lib"],
)
py_library(
name = "import_pb_to_tensorboard_lib",
srcs = ["import_pb_to_tensorboard.py"],
strict_deps = True,
deps = [
":saved_model_utils",
"//tensorflow/python/client:session",
"//tensorflow/python/framework:importer",
"//tensorflow/python/framework:ops",
"//tensorflow/python/summary:summary_py",
"@absl_py//absl:app",
],
)
py_binary(
name = "tf_import_time",
srcs = ["tf_import_time.py"],
strict_deps = True,
deps = ["//tensorflow:tensorflow_py"],
)
py_test(
name = "freeze_graph_test",
size = "small",
srcs = ["freeze_graph_test.py"],
strict_deps = True,
deps = [
":freeze_graph_lib",
# copybara:uncomment "//third_party/py/google/protobuf:use_fast_cpp_protos",
"//tensorflow/core:protos_all_py",
"//tensorflow/python/client:session",
"//tensorflow/python/framework:dtypes",
"//tensorflow/python/framework:graph_io",
"//tensorflow/python/framework:importer",
"//tensorflow/python/framework:ops",
"//tensorflow/python/framework:test_lib",
"//tensorflow/python/ops:array_ops",
"//tensorflow/python/ops:math_ops",
"//tensorflow/python/ops:nn",
"//tensorflow/python/ops:parsing_ops",
"//tensorflow/python/ops:partitioned_variables",
"//tensorflow/python/ops:variable_scope",
"//tensorflow/python/ops:variable_v1",
"//tensorflow/python/ops:variables",
"//tensorflow/python/platform:client_testlib",
"//tensorflow/python/saved_model:builder",
"//tensorflow/python/saved_model:signature_constants",
"//tensorflow/python/saved_model:signature_def_utils",
"//tensorflow/python/saved_model:tag_constants",
"//tensorflow/python/training:saver",
"@absl_py//absl/testing:parameterized",
],
)
py_binary(
name = "inspect_checkpoint",
srcs = ["inspect_checkpoint.py"],
strict_deps = True,
deps = [":inspect_checkpoint_lib"],
)
py_library(
name = "inspect_checkpoint_lib",
srcs = ["inspect_checkpoint.py"],
strict_deps = True,
deps = [
"//tensorflow/python/framework:errors",
"//tensorflow/python/platform:flags",
"//tensorflow/python/training:py_checkpoint_reader",
"//third_party/py/numpy",
"@absl_py//absl:app",
],
)
py_library(
name = "strip_unused_lib",
srcs = ["strip_unused_lib.py"],
strict_deps = True,
deps = [
"//tensorflow/core:protos_all_py",
"//tensorflow/python/framework:graph_util",
"//tensorflow/python/platform:gfile",
],
)
py_library(
name = "module_util",
srcs = ["module_util.py"],
strict_deps = True,
)
py_binary(
name = "strip_unused",
srcs = ["strip_unused.py"],
strict_deps = True,
deps = [
":strip_unused_lib",
"//tensorflow/python/framework:for_generated_wrappers",
"@absl_py//absl:app",
],
)
py_test(
name = "strip_unused_test",
size = "small",
srcs = ["strip_unused_test.py"],
strict_deps = True,
tags = ["notap"],
deps = [
":strip_unused_lib",
# copybara:uncomment "//third_party/py/google/protobuf:use_fast_cpp_protos",
"//tensorflow/core:protos_all_py",
"//tensorflow/python/client:session",
"//tensorflow/python/framework:constant_op",
"//tensorflow/python/framework:dtypes",
"//tensorflow/python/framework:graph_io",
"//tensorflow/python/framework:importer",
"//tensorflow/python/framework:ops",
"//tensorflow/python/framework:test_lib",
"//tensorflow/python/ops:math_ops",
"//tensorflow/python/platform:client_testlib",
],
)
py_library(
name = "optimize_for_inference_lib",
srcs = ["optimize_for_inference_lib.py"],
strict_deps = True,
deps = [
":strip_unused_lib",
"//tensorflow/core:protos_all_py",
"//tensorflow/python/framework:dtypes",
"//tensorflow/python/framework:for_generated_wrappers",
"//tensorflow/python/framework:graph_util",
"//tensorflow/python/framework:tensor_util",
"//tensorflow/python/platform:flags",
"//tensorflow/python/platform:tf_logging",
"//third_party/py/numpy",
],
)
py_binary(
name = "optimize_for_inference",
srcs = ["optimize_for_inference.py"],
strict_deps = True,
deps = [":optimize_for_inference_main_lib"],
)
py_library(
name = "optimize_for_inference_main_lib",
srcs = ["optimize_for_inference.py"],
strict_deps = True,
deps = [
":optimize_for_inference_lib",
"//tensorflow/core:protos_all_py",
"//tensorflow/python/framework:dtypes",
"//tensorflow/python/framework:graph_io",
"//tensorflow/python/platform:gfile",
"@absl_py//absl:app",
],
)
py_test(
name = "optimize_for_inference_test",
size = "small",
srcs = ["optimize_for_inference_test.py"],
strict_deps = True,
deps = [
":optimize_for_inference_lib",
# copybara:uncomment "//third_party/py/google/protobuf:use_fast_cpp_protos",
"//third_party/py/numpy",
"//tensorflow/core:protos_all_py",
"//tensorflow/python/framework:constant_op",
"//tensorflow/python/framework:dtypes",
"//tensorflow/python/framework:importer",
"//tensorflow/python/framework:ops",
"//tensorflow/python/framework:tensor_util",
"//tensorflow/python/framework:test_lib",
"//tensorflow/python/ops:array_ops",
"//tensorflow/python/ops:image_ops",
"//tensorflow/python/ops:math_ops",
"//tensorflow/python/ops:math_ops_gen",
"//tensorflow/python/ops:nn_ops",
"//tensorflow/python/ops:nn_ops_gen",
"//tensorflow/python/platform:client_testlib",
],
)
py_library(
name = "selective_registration_header_lib",
srcs = ["selective_registration_header_lib.py"],
strict_deps = True,
visibility = ["//visibility:public"],
deps = [
# copybara:comment_begin(oss-only)
"//tensorflow/python", # to fix libtensorflow_framework.so.2 import error.
# copybara:comment_end
"//tensorflow/core:protos_all_py",
"//tensorflow/python/platform:gfile",
"//tensorflow/python/platform:tf_logging",
"//tensorflow/python/util:_pywrap_kernel_registry",
],
)
py_binary(
name = "print_selective_registration_header",
srcs = ["print_selective_registration_header.py"],
strict_deps = True,
visibility = ["//visibility:public"],
deps = [":print_selective_registration_header_lib"],
)
py_library(
name = "print_selective_registration_header_lib",
srcs = ["print_selective_registration_header.py"],
strict_deps = True,
visibility = ["//visibility:public"],
deps = [
":selective_registration_header_lib",
"@absl_py//absl:app",
],
)
py_test(
name = "print_selective_registration_header_test",
srcs = ["print_selective_registration_header_test.py"],
strict_deps = True,
deps = [
":selective_registration_header_lib",
# copybara:uncomment "//third_party/py/google/protobuf:use_fast_cpp_protos",
"//tensorflow/core:protos_all_py",
"//tensorflow/python/platform:client_testlib",
"//tensorflow/python/platform:gfile",
],
)
py_binary(
name = "saved_model_cli",
srcs = ["saved_model_cli.py"],
strict_deps = True,
deps = [":saved_model_cli_lib"] + if_pywrap(
if_true = ["//tensorflow/python:_pywrap_tensorflow"],
),
)
py_library(
name = "saved_model_cli_lib",
srcs = ["saved_model_cli.py"],
strict_deps = True,
deps = [
# Note: if you make any changes here, make corresponding changes to the
# deps of the "tools_pip" target in this file. Otherwise release builds
# (built with --define=no_tensorflow_py_deps=true) may end up with a
# broken saved_model_cli.
":saved_model_aot_compile",
":saved_model_utils",
"@absl_py//absl:app",
"@absl_py//absl/flags",
"@absl_py//absl/flags:argparse_flags",
"//third_party/py/numpy",
"//tensorflow/core/example:example_protos_py_proto",
"//tensorflow/core/protobuf:for_core_protos_py_proto",
"//tensorflow/core:protos_all_py",
"//tensorflow/python",
"//tensorflow/python/client:session",
"//tensorflow/python/compiler/tensorrt:trt_convert_py",
"//tensorflow/python/debug/wrappers:local_cli_wrapper",
"//tensorflow/python/eager:def_function",
"//tensorflow/python/eager:function",
"//tensorflow/python/framework:meta_graph",
"//tensorflow/python/framework:ops",
"//tensorflow/python/framework:tensor_spec",
"//tensorflow/python/lib/io:file_io",
"//tensorflow/python/platform:tf_logging",
"//tensorflow/python/saved_model:load",
"//tensorflow/python/saved_model:load_options",
"//tensorflow/python/saved_model:loader",
"//tensorflow/python/saved_model:save",
"//tensorflow/python/saved_model:signature_constants",
"//tensorflow/python/tpu:tpu_py",
"//tensorflow/python/util:compat",
] + if_google([
"//tensorflow/core/tfrt/tfrt_session",
"//tensorflow_text:tensorflow_text",
]),
)
py_library(
name = "saved_model_aot_compile",
srcs = ["saved_model_aot_compile.py"],
strict_deps = True,
deps = [
"//tensorflow/compiler/tf2xla:tf2xla_proto_py",
"//tensorflow/core:protos_all_py",
"//tensorflow/python",
"//tensorflow/python/client:session",
"//tensorflow/python/framework:convert_to_constants",
"//tensorflow/python/framework:ops",
"//tensorflow/python/framework:tensor_shape",
"//tensorflow/python/framework:versions",
"//tensorflow/python/grappler:tf_optimizer",
"//tensorflow/python/lib/io:file_io",
"//tensorflow/python/ops:array_ops",
"//tensorflow/python/platform:client_testlib",
"//tensorflow/python/platform:sysconfig",
"//tensorflow/python/platform:tf_logging",
"//tensorflow/python/training:saver",
],
)
py_test(
name = "saved_model_cli_test",
srcs = ["saved_model_cli_test.py"],
data = [
"//tensorflow/cc/saved_model:saved_model_half_plus_two",
],
strict_deps = True,
tags = [
"noasan", # TODO(b/222716501)
"notap", # b/456542868
],
deps = [
":saved_model_cli_lib",
# copybara:uncomment "//third_party/py/google/protobuf:use_fast_cpp_protos",
"//third_party/py/numpy",
"//tensorflow/core:protos_all_py",
"//tensorflow/core/example:example_protos_py_proto",
"//tensorflow/core/protobuf:for_core_protos_py_proto",
"//tensorflow/python/debug/wrappers:local_cli_wrapper",
"//tensorflow/python/eager:def_function",
"//tensorflow/python/framework:constant_op",
"//tensorflow/python/framework:dtypes",
"//tensorflow/python/framework:tensor_spec",
"//tensorflow/python/lib/io:file_io",
"//tensorflow/python/ops:parsing_config",
"//tensorflow/python/ops:parsing_ops",
"//tensorflow/python/ops:variables",
"//tensorflow/python/platform:client_testlib",
"//tensorflow/python/platform:tf_logging",
"//tensorflow/python/saved_model:loader",
"//tensorflow/python/saved_model:save",
"//tensorflow/python/trackable:autotrackable",
"@absl_py//absl/testing:parameterized",
],
)
py_binary(
name = "make_aot_compile_models",
srcs = ["make_aot_compile_models.py"],
strict_deps = True,
deps = [
"//tensorflow/python/eager:def_function",
"//tensorflow/python/framework:dtypes",
"//tensorflow/python/framework:tensor_spec",
"//tensorflow/python/ops:array_ops",
"//tensorflow/python/ops:math_ops",
"//tensorflow/python/saved_model:save",
"//tensorflow/python/trackable:autotrackable",
"@absl_py//absl:app",
"@absl_py//absl/flags",
] + if_pywrap(["//tensorflow/python:_pywrap_tensorflow"]),
)
# copybara:comment_begin(oss-only)
py_binary(
name = "grpc_tpu_worker",
srcs = ["grpc_tpu_worker.py"],
)
py_binary(
name = "grpc_tpu_worker_service",
srcs = ["grpc_tpu_worker_service.py"],
)
# copybara:comment_end
EMITTED_AOT_SAVE_MODEL_OBJECTS = [
"x_matmul_y_large/saved_model.pb",
"x_matmul_y_large/variables/variables.index",
"x_matmul_y_small/saved_model.pb",
"x_matmul_y_small/variables/variables.index",
]
genrule(
name = "create_models_for_aot_compile",
outs = EMITTED_AOT_SAVE_MODEL_OBJECTS,
cmd = (
"$(location :make_aot_compile_models) --out_dir $(@D)"
),
tags = ["no_rocm"],
tools = [":make_aot_compile_models"],
)
filegroup(
name = "aot_saved_models",
srcs = EMITTED_AOT_SAVE_MODEL_OBJECTS,
)
saved_model_compile_aot(
name = "aot_compiled_x_matmul_y_large",
cpp_class = "XMatmulYLarge",
directory = "//tensorflow/python/tools:x_matmul_y_large",
filegroups = [":aot_saved_models"],
force_without_xla_support_flag = False,
tags = ["no_rocm"],
)
saved_model_compile_aot(
name = "aot_compiled_x_matmul_y_large_multithreaded",
cpp_class = "XMatmulYLargeMultithreaded",
directory = "//tensorflow/python/tools:x_matmul_y_large",
filegroups = [":aot_saved_models"],
force_without_xla_support_flag = False,
multithreading = True,
tags = ["no_rocm"],
)
saved_model_compile_aot(
name = "aot_compiled_x_matmul_y_small",
cpp_class = "XMatmulYSmall",
directory = "//tensorflow/python/tools:x_matmul_y_small",
filegroups = [":aot_saved_models"],
force_without_xla_support_flag = False,
tags = ["no_rocm"],
)
saved_model_compile_aot(
name = "aot_compiled_x_plus_y",
cpp_class = "XPlusY",
directory = "//tensorflow/cc/saved_model:testdata/x_plus_y_v2_debuginfo",
filegroups = [
"//tensorflow/cc/saved_model:saved_model_half_plus_two",
],
force_without_xla_support_flag = False,
)
saved_model_compile_aot(
name = "aot_compiled_vars_and_arithmetic_frozen",
cpp_class = "VarsAndArithmeticFrozen",
directory = "//tensorflow/cc/saved_model:testdata/VarsAndArithmeticObjectGraph",
filegroups = [
"//tensorflow/cc/saved_model:saved_model_half_plus_two",
],
force_without_xla_support_flag = False,
)
saved_model_compile_aot(
name = "aot_compiled_vars_and_arithmetic",
cpp_class = "VarsAndArithmetic",
directory = "//tensorflow/cc/saved_model:testdata/VarsAndArithmeticObjectGraph",
filegroups = [
"//tensorflow/cc/saved_model:saved_model_half_plus_two",
],
force_without_xla_support_flag = False,
variables_to_feed = "variable_x",
)
sh_test(
name = "large_matmul_no_multithread_test",
srcs = if_xla_available(
["no_xla_multithread_symbols_test.sh"],
if_false = ["skip_test.sh"],
),
args = if_xla_available(["$(location :aot_compiled_x_matmul_y_large.o)"]),
data = if_xla_available([":aot_compiled_x_matmul_y_large.o"]),
tags = ["no_windows"], # TODO(b/171875345)
)
sh_test(
name = "large_matmul_yes_multithread_test",
srcs = if_xla_available(
[
"xla_multithread_symbols_test.sh",
],
if_false = ["skip_test.sh"],
),
args = if_xla_available(
["$(location :aot_compiled_x_matmul_y_large_multithreaded.o)"],
),
data = if_xla_available(
[":aot_compiled_x_matmul_y_large_multithreaded.o"],
),
tags = ["no_windows"], # TODO(b/171875345)
)
tf_cc_test(
name = "aot_compiled_test",
srcs = if_xla_available([
"aot_compiled_test.cc",
]),
# For Windows the test works locally, but for some reason throws
# "The filename or extension is too long." when run on our RBE.
# Given that the test fails for Windows RBE infrastructure reasons,
# but passes otherwise disabling for Windows it for now.
tags = [
"no_windows",
],
deps = [
"//tensorflow/core:test_main",
] + if_xla_available([
# LINT.IfChange
":aot_compiled_vars_and_arithmetic",
":aot_compiled_vars_and_arithmetic_frozen",
":aot_compiled_x_matmul_y_large",
":aot_compiled_x_matmul_y_large_multithreaded",
":aot_compiled_x_matmul_y_small",
":aot_compiled_x_plus_y",
# LINT.ThenChange(//tensorflow/tools/pip_package/xla_build/pip_test/run_xla_aot_test.sh)
"//tensorflow/core:test",
"//tensorflow/core/platform:logging",
"@eigen_archive//:eigen3",
]),
)
tf_py_test(
name = "saved_model_cli_sanitize_list_test",
size = "small",
srcs = ["saved_model_cli_sanitize_list_test.py"],
python_version = "PY3",
tags = ["notap"], # b/456542868
deps = [
":saved_model_cli",
"//tensorflow/python/platform:client_testlib",
"@absl_py//absl/testing:parameterized", # testte kullanılmıyorsa kaldırabilirsin
],
)
# copybara:uncomment_begin(google-only)
# gensignature(
# name = "inspect_checkpoint.par_sig",
# srcs = [":inspect_checkpoint.par"],
# )
#
# gensignature(
# name = "saved_model_cli.par_sig",
# srcs = [":saved_model_cli.par"],
# )
# copybara:uncomment_end
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