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chore: import upstream snapshot with attribution
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59 lines
1.7 KiB
Python

load("@rules_cc//cc:cc_library.bzl", "cc_library")
package(
# copybara:uncomment default_applicable_licenses = ["//tensorflow:license"],
default_visibility = [
"//visibility:public",
],
licenses = ["notice"],
)
cc_library(
name = "translate_cl_options",
srcs = [
"tf_mlir_translate_cl.cc",
],
hdrs = [
"tf_mlir_translate_cl.h",
],
deps = [
"@llvm-project//llvm:Support",
],
alwayslink = 1,
)
cc_library(
name = "translate_registration",
srcs = [
"tf_mlir_translate_registration.cc",
],
deps = [
"//tensorflow/compiler/mlir/tensorflow",
"//tensorflow/compiler/mlir/tensorflow/translate:mlir_roundtrip_flags",
"//tensorflow/compiler/mlir/tensorflow/translate/tools:file_tf_mlir_translate",
"//tensorflow/compiler/mlir/tf2xla/api/v2:tf_executor_to_graph",
"//tensorflow/compiler/mlir/tools:translate_cl_options",
"//tensorflow/compiler/tf2xla:xla_compiler",
"//tensorflow/compiler/tf2xla/kernels:xla_ops",
"//tensorflow/core:core_cpu_base",
"//tensorflow/core:framework",
"//tensorflow/core:protos_all_cc",
"@com_google_absl//absl/container:flat_hash_set",
"@llvm-project//mlir:IR",
"@llvm-project//mlir:TranslateLib",
"@tsl//tsl/platform:protobuf",
"@xla//xla/client:client_library",
"@xla//xla/client:compile_only_client",
"@xla//xla/service/cpu:cpu_compiler",
"@xla//xla/service/cpu:cpu_transfer_manager",
"@xla//xla/stream_executor/host:host_platform",
"@xla//xla/stream_executor/host:host_platform_id",
],
alwayslink = 1,
)
cc_library(
name = "safe_cast",
hdrs = ["safe_cast.h"],
)