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

37 lines
1.1 KiB
Python

load("@rules_cc//cc:cc_library.bzl", "cc_library")
load(
"//tensorflow:tensorflow.bzl",
"tf_cc_binary",
)
package(
# copybara:uncomment default_applicable_licenses = ["//tensorflow:license"],
default_visibility = ["//visibility:public"],
licenses = ["notice"],
)
cc_library(
name = "generate_cpp_main",
srcs = ["generate_cpp_main.cc"],
deps = [
"@com_google_absl//absl/log",
"@com_google_absl//absl/log:check",
"@com_google_absl//absl/strings",
"//tensorflow/c/experimental/ops/gen/common",
"//tensorflow/c/experimental/ops/gen/cpp/renderers",
"//tensorflow/core:framework",
"//tensorflow/core:framework_internal",
"//tensorflow/c/experimental/ops/gen/cpp",
"//tensorflow/c/experimental/ops/gen/model",
"//tensorflow/core:lib",
# Without this line to link in ops, the global registry will be empty:
"//tensorflow/core:ops",
],
)
tf_cc_binary(
name = "generate_cpp",
args = ["--stderrthreshold=1"], # Warnings and errors to stderr.
deps = [":generate_cpp_main"],
)