wehub-resource-sync
278 lines
9.5 KiB
Python
278 lines
9.5 KiB
Python
# Description:
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# TensorFlow/TensorFlow Lite/XLA MLIR dialects and tools.
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load(
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"//tensorflow:tensorflow.bzl",
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"tf_cc_binary",
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"tf_cc_test",
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)
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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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package_group(
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name = "subpackages",
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packages = ["//tensorflow/compiler/mlir/..."],
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)
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exports_files(glob(["g3doc/*.md"] + ["g3doc/_includes/tf_passes.md"]))
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# To reference all tablegen files here when checking for updates to them.
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filegroup(
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name = "td_files",
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srcs = glob(["**/*.td"]),
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)
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cc_library(
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name = "op_or_arg_name_mapper",
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srcs = ["op_or_arg_name_mapper.cc"],
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hdrs = ["op_or_arg_name_mapper.h"],
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deps = [
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"//tensorflow/compiler/mlir/utils:name_utils",
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"@com_google_absl//absl/strings",
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"@llvm-project//llvm:Support",
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"@llvm-project//mlir:IR",
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"@llvm-project//mlir:Support",
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],
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)
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tf_cc_test(
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name = "op_or_arg_name_mapper_test",
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srcs = ["op_or_arg_name_mapper_test.cc"],
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deps = [
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":op_or_arg_name_mapper",
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"@com_google_absl//absl/strings",
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"@com_google_googletest//:gtest_main",
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"@llvm-project//mlir:IR",
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"@llvm-project//mlir:Support",
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],
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)
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cc_library(
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name = "tf_mlir_opt_main",
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testonly = True,
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srcs = ["tf_mlir_opt_main.cc"],
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deps = [
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":init_mlir",
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":passes",
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":register_common_dialects",
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"//tensorflow/compiler/mlir/quantization/stablehlo:bridge_passes",
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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:tensorflow_test_passes",
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"//tensorflow/compiler/mlir/tensorflow/transforms:tf_graph_optimization_pass",
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"//tensorflow/compiler/mlir/tensorflow/transforms:tf_saved_model_passes", # buildcleaner: keep
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"//tensorflow/compiler/mlir/tensorflow/transforms/host_runtime:lower_cluster_to_runtime_ops",
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"//tensorflow/compiler/mlir/tensorflow/transforms/host_runtime:runtime_passes",
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"//tensorflow/compiler/mlir/tensorflow/transforms/sparsecore:sparsecore_passes",
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"//tensorflow/compiler/mlir/tf2xla:compile_mlir_util",
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"//tensorflow/compiler/mlir/tf2xla/internal/passes:clustering_passes",
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"//tensorflow/compiler/mlir/tf2xla/internal/passes:mlir_to_graph_passes",
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"//tensorflow/compiler/mlir/tf2xla/transforms:tf_xla_passes",
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"//tensorflow/compiler/mlir/tf2xla/transforms:xla_legalize_tf",
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"@llvm-project//mlir:AllPassesAndDialects",
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"@llvm-project//mlir:MlirOptLib",
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"@llvm-project//mlir:RegisterAllDialects", # buildcleaner: keep
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"@llvm-project//mlir:RegisterAllPasses", # buildcleaner: keep
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"@llvm-project//mlir:Support",
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"@llvm-project//mlir:Transforms",
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"@xla//xla/mlir_hlo:all_passes",
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],
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)
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cc_library(
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name = "passes",
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visibility = ["//visibility:public"],
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deps = [
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"@llvm-project//mlir:AffineDialect",
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"@llvm-project//mlir:QuantOps",
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# Link jit lib to link JIT devices required to run
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# xla-legalize-tf-with-tf2xla pass.
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"//tensorflow/compiler/jit",
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"//tensorflow/compiler/mlir/tensorflow",
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"//tensorflow/compiler/mlir/tensorflow/transforms:tensorflow_passes",
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"//tensorflow/compiler/mlir/tensorflow/transforms:tf_dialect_passes",
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"//tensorflow/compiler/mlir/tf2xla:compile_mlir_util",
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],
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)
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cc_library(
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name = "init_mlir",
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srcs = ["init_mlir.cc"],
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hdrs = ["init_mlir.h"],
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visibility = ["//visibility:public"],
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deps = [
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"//tensorflow/core:lib",
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"@llvm-project//llvm:Support",
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],
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)
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cc_library(
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name = "mlir_graph_optimization_pass",
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srcs = ["mlir_graph_optimization_pass.cc"],
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hdrs = ["mlir_graph_optimization_pass.h"],
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deps = [
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"//tensorflow/compiler/mlir/tensorflow",
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"//tensorflow/compiler/mlir/tensorflow:attribute_utils",
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"//tensorflow/compiler/mlir/tensorflow:device_util",
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"//tensorflow/compiler/mlir/tensorflow:dump_mlir_util",
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"//tensorflow/compiler/mlir/tensorflow:mlir_roundtrip_flags",
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"//tensorflow/compiler/mlir/tf2xla:mlir_bridge_rollout_policy",
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"//tensorflow/compiler/mlir/tf2xla/api/v2:graph_to_tf_executor",
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"//tensorflow/compiler/mlir/tf2xla/api/v2:tf_executor_to_graph",
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"//tensorflow/core:core_cpu",
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"//tensorflow/core:framework",
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"//tensorflow/core:lib",
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"//tensorflow/core:protos_all_cc",
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"//tensorflow/core/common_runtime:device_set",
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"//tensorflow/core/protobuf:for_core_protos_cc",
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"@com_google_absl//absl/container:flat_hash_set",
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"@com_google_absl//absl/log",
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"@com_google_absl//absl/log:check",
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"@com_google_absl//absl/status",
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"@com_google_absl//absl/strings:string_view",
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"@llvm-project//llvm:Support",
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"@llvm-project//mlir:ArithDialect",
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"@llvm-project//mlir:FuncDialect",
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"@llvm-project//mlir:FuncExtensions",
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"@llvm-project//mlir:IR",
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"@llvm-project//mlir:ShapeDialect",
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],
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alwayslink = 1,
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)
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cc_library(
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name = "mlir_graph_optimization_pass_registration",
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srcs = [
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"mlir_graph_optimization_pass_registration.cc",
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],
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deps = [
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":mlir_graph_optimization_pass",
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"//tensorflow/core:core_cpu",
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],
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alwayslink = 1,
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)
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# This should just be a wrapper around tf_mlir_opt_main. Don't add
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# direct dependencies to this binary.
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tf_cc_binary(
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name = "tf-opt",
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testonly = True,
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deps = [
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":tf_mlir_opt_main",
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],
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)
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tf_cc_binary(
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name = "tf-reduce",
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testonly = True,
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srcs = ["tf_mlir_reduce_main.cc"],
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deps = [
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":init_mlir",
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":register_common_dialects",
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"//tensorflow/compiler/mlir/tensorflow",
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"@llvm-project//mlir:AllPassesAndDialects",
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"@llvm-project//mlir:IR",
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"@llvm-project//mlir:MlirReduceLib",
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"@llvm-project//mlir:Reducer",
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"@llvm-project//mlir:Support",
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],
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)
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cc_library(
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name = "register_common_dialects",
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testonly = True,
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srcs = ["register_common_dialects.cc"],
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hdrs = ["register_common_dialects.h"],
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deps = [
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"//tensorflow/compiler/mlir/tensorflow",
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"//tensorflow/compiler/mlir/tensorflow:mlprogram_util",
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"//tensorflow/compiler/mlir/tools/kernel_gen/ir:tf_framework_ops",
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"//tensorflow/core/ir/types:Dialect",
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"@llvm-project//mlir:AllExtensions",
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"@llvm-project//mlir:AllPassesAndDialects",
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"@llvm-project//mlir:IR",
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"@llvm-project//mlir:QuantOps",
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"@llvm-project//mlir:RegisterAllDialects", # buildcleaner: keep
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"@llvm-project//mlir:RegisterAllExtensions", # buildcleaner: keep
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"@llvm-project//mlir:RegisterAllPasses", # buildcleaner: keep
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"@llvm-project//mlir:ShapeDialect",
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"@llvm-project//mlir:TensorDialect",
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"@llvm-project//mlir:TosaDialect",
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"@stablehlo//:register",
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"@xla//xla/mlir_hlo:hlo_dialect_registration",
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],
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)
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tf_cc_test(
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name = "register_common_dialects_test",
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srcs = ["register_common_dialects_test.cc"],
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deps = [
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":register_common_dialects",
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"@com_google_googletest//:gtest_main",
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"@llvm-project//mlir:IR",
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],
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)
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tf_cc_binary(
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name = "tf-mlir-translate",
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testonly = True,
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srcs = ["tf_mlir_translate_main.cc"],
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deps = [
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":init_mlir",
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"//tensorflow/compiler/mlir/tensorflow:tf_xla_mlir_translate",
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"//tensorflow/compiler/mlir/tensorflow:translate_lib",
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"//tensorflow/compiler/mlir/tf2xla/tests/registration:graph_to_tf_executor_registration",
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"//tensorflow/compiler/mlir/tools:translate_cl_options",
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"//tensorflow/compiler/mlir/tools:translate_registration",
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"//tensorflow/core:lib",
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"//tensorflow/core:tensorflow",
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"@com_google_absl//absl/strings",
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"@com_google_absl//absl/types:span",
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"@llvm-project//llvm:Support",
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"@llvm-project//mlir:IR",
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"@llvm-project//mlir:Support",
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"@llvm-project//mlir:TranslateLib",
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"@xla//xla/hlo/translate/hlo_to_mhlo:translate_registration",
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"@xla//xla/hlo/translate/mhlo_to_hlo:translate_registration",
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],
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)
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tf_cc_test(
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name = "mlir_graph_optimization_pass_test",
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srcs = ["mlir_graph_optimization_pass_test.cc"],
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deps = [
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":mlir_graph_optimization_pass",
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"//tensorflow/core:core_cpu",
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"//tensorflow/core:framework",
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"//tensorflow/core:ops",
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"//tensorflow/core:portable_gif_internal",
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"//tensorflow/core:protos_all_cc",
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"//tensorflow/core:test",
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"//tensorflow/core:test_main",
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"//tensorflow/core/common_runtime:device_set",
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"//tensorflow/core/common_runtime:optimization_registry",
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"//tensorflow/core/framework:tensor_testutil",
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"//tensorflow/core/lib/monitoring:cell_reader",
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"//tensorflow/core/platform:status",
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"//tensorflow/core/protobuf:for_core_protos_cc",
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"@com_google_absl//absl/status",
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"@com_google_googletest//:gtest_main",
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"@llvm-project//llvm:Support",
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"@llvm-project//mlir:IR",
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],
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)
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filegroup(
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name = "litfiles",
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srcs = glob(["runlit*py"]),
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visibility = ["//tensorflow:__subpackages__"],
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)
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exports_files(["run_lit.sh"])
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