wehub-resource-sync
112 lines
4.4 KiB
Python
112 lines
4.4 KiB
Python
load("@bazel_skylib//rules:common_settings.bzl", "bool_flag")
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load("//tensorflow:tensorflow.bzl", "tf_cc_test")
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load("//tensorflow:tensorflow.default.bzl", "filegroup")
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load("//tensorflow/core/platform:rules_cc.bzl", "cc_library")
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package(
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# copybara:uncomment default_applicable_licenses = ["//tensorflow:license"],
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default_visibility = ["//visibility:public"],
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licenses = ["notice"],
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)
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bool_flag(
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name = "disable_mlir",
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build_setting_default = False,
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)
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config_setting(
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name = "disable_mlir_config",
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flag_values = {":disable_mlir": "True"},
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visibility = ["//visibility:public"],
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)
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cc_library(
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name = "mlir",
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srcs = ["mlir.cc"],
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hdrs = ["mlir.h"],
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deps = [
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"@com_google_absl//absl/status",
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"@com_google_absl//absl/strings:string_view",
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"@com_google_absl//absl/types:span",
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"//tensorflow/cc/saved_model:bundle_v2",
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"//tensorflow/cc/saved_model:loader",
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"//tensorflow/compiler/mlir/tensorflow/translate/tools:parsers",
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"//tensorflow/compiler/mlir/quantization/stablehlo:bridge_passes",
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"@com_google_absl//absl/strings",
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"@llvm-project//mlir:FuncExtensions",
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"@llvm-project//llvm:Support",
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"@llvm-project//mlir:AllPassesAndDialects",
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"@llvm-project//mlir:BytecodeWriter",
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"@llvm-project//mlir:ShapeDialect",
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"@llvm-project//mlir:IR",
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"@llvm-project//mlir:Parser",
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"@llvm-project//mlir:Pass",
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"@llvm-project//mlir:RegisterAllPasses", # buildcleaner: keep
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"//tensorflow/core/common_runtime:graph_constructor",
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"@llvm-project//mlir:Support",
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"@stablehlo//:register",
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"//tensorflow/c:tf_status",
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"//tensorflow/c:tf_status_helper",
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"//tensorflow/compiler/mlir/tf2xla/api/v2:graph_to_tf_executor",
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"//tensorflow/c/eager:c_api",
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"//tensorflow/c/eager:tfe_context_internal",
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"//tensorflow/compiler/mlir/tensorflow:mlir_import_options",
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"@xla//xla/mlir_hlo:all_passes",
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"//tensorflow/compiler/mlir/tensorflow",
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"//tensorflow/compiler/mlir/tensorflow:import_model",
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"//tensorflow/compiler/mlir/tensorflow:error_util",
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"//tensorflow/compiler/mlir/tensorflow:import_utils",
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"//tensorflow/compiler/mlir/tensorflow:mlir_roundtrip_flags",
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"//tensorflow/compiler/mlir/tensorflow:mlprogram_util",
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"//tensorflow/compiler/mlir/tensorflow/transforms:tensorflow_passes",
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"//tensorflow/compiler/mlir/tensorflow/transforms:tf_saved_model_passes",
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"//tensorflow/compiler/mlir/tensorflow:translate_lib",
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"//tensorflow/compiler/mlir/tf2xla/transforms:xla_legalize_tf",
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"//tensorflow/core:framework",
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"//tensorflow/core:lib_proto_parsing",
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"//tensorflow/core:protos_all_cc",
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"//tensorflow/core:tflite_portable_logging",
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"//tensorflow/core/common_runtime/eager:context",
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# (yongtang) The graph_optimization_pass_registration needs to be part
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# of a shared object that will be loaded whenever `import tensorflow`
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# is run. The natural place is libtensorflow_framework.so.
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# While adding graph_optimization_pass_registration to
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# libtensorflow_framework.so is possible with some modification in
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# dependency, many tests will fail due to multiple copies of LLVM.
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# See https://github.com/tensorflow/tensorflow/pull/39231 for details.
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# Alternatively, we place graph_optimization_pass_registration here
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# because:
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# - tensorflow/python/_pywrap_mlir.so already depends on LLVM anyway
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# - tensorflow/python/_pywrap_mlir.so always loaded as part of python
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# binding
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# TODO: It might be still preferrable to place graph_optimization_pass
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# as part of the libtensorflow_framework.so, as it is the central
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# place for core related components.
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"//tensorflow/compiler/mlir/tensorflow/transforms:graph_optimization_pass_registration", # buildcleaner: keep
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],
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alwayslink = 1,
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)
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tf_cc_test(
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name = "mlir_test",
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srcs = ["mlir_test.cc"],
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deps = [
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":mlir",
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"//tensorflow/c:safe_ptr",
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"//tensorflow/c:tf_status_headers",
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"@com_google_absl//absl/strings",
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"@com_google_absl//absl/strings:string_view",
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"@com_google_googletest//:gtest_main",
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],
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)
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filegroup(
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name = "pywrap_mlir_hdrs",
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srcs = [
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"mlir.h",
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],
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visibility = [
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"//tensorflow/python:__pkg__",
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],
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)
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