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

82 lines
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Python

# Experimental C++ APIs for TensorFlow.
# New TF C++ APIs under the tensorflow::cc namespace aim to guarantee ABI stability.
# Users are expected to compile against public c++ headers, and link against
# libtensorflow (https://www.tensorflow.org/install/lang_c).
# We aim to achieve ABI stability in new C++ APIs by only using types
# on the API surface that:
# 1. Have a header-only implementation
# 2. Are std:: types
# 3. Wrap an opaque C type
load("//tensorflow/core/platform:rules_cc.bzl", "cc_library")
package(
# copybara:uncomment default_applicable_licenses = ["//tensorflow:license"],
# This is intentionally public
default_visibility = [
"//visibility:public",
],
licenses = ["notice"],
)
cc_library(
name = "runtime",
hdrs = [
"runtime.h",
],
deps = [
":status",
"//tensorflow/c/eager:c_api",
"//tensorflow/c/eager:c_api_experimental",
],
)
cc_library(
name = "runtime_builder",
hdrs = [
"runtime_builder.h",
],
deps = [
":runtime",
":status",
"//tensorflow/c/eager:c_api",
"//tensorflow/c/eager:c_api_experimental",
],
)
cc_library(
name = "status",
hdrs = [
"status.h",
],
deps = [
"//tensorflow/c:tf_status",
],
)
cc_library(
name = "tensor",
hdrs = [
"tensor.h",
],
deps = [
":status",
"//tensorflow/c:tf_datatype",
"//tensorflow/c:tf_tensor",
],
)
cc_library(
name = "tensorhandle",
hdrs = [
"tensorhandle.h",
],
deps = [
":runtime",
":status",
":tensor",
"//tensorflow/c/eager:c_api",
"//tensorflow/c/eager:c_api_experimental",
],
)