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

61 lines
1.6 KiB
Python

load("@xla//third_party/rules_python/python:py_library.bzl", "py_library")
load(
"//tensorflow:tensorflow.bzl",
"tf_custom_op_library",
"tf_gen_op_wrapper_py",
)
load("//tensorflow/core/platform:rules_cc.bzl", "cc_library")
package(
# copybara:uncomment default_applicable_licenses = ["//tensorflow:license"],
default_visibility = ["//tensorflow:internal"],
licenses = ["notice"],
)
cc_library(
name = "xla_ops",
srcs = ["xla_ops.cc"],
deps = [
"//tensorflow/core:framework",
"//tensorflow/core:lib",
"//tensorflow/core:protos_all_cc",
"@com_google_absl//absl/algorithm:container",
"@com_google_absl//absl/container:inlined_vector",
"@com_google_absl//absl/log",
"@com_google_absl//absl/status",
"@com_google_absl//absl/strings",
"@xla//xla:shape_util",
"@xla//xla:xla_data_proto_cc",
"@xla//xla/service:shape_inference",
],
alwayslink = 1,
)
tf_gen_op_wrapper_py(
name = "gen_xla_ops",
out = "gen_xla_ops.py",
extra_py_deps = [
"//tensorflow/python:pywrap_tfe",
"//tensorflow/python/util:dispatch",
"//tensorflow/python/util:deprecation",
"//tensorflow/python/util:tf_export",
],
py_lib_rule = py_library,
deps = [
":xla_ops",
],
)
tf_custom_op_library(
name = "_xla_ops.so",
srcs = [
"xla_ops.cc",
],
deps = [
"@com_google_absl//absl/algorithm:container",
"@xla//xla:shape_util",
"@xla//xla:xla_data_proto_cc",
"@xla//xla/service:shape_inference",
],
)