STT-tensorflow/tensorflow/compiler/xla/python/BUILD
Justin Lebar 90d9d2b194 [XLA] Use absl string types and functions instead of the TF versions.
Unfortunately this has to be one big patch, because e.g. absl::StrCat
doesn't accept a TF StringPiece, but as soon as we switch to
absl::string_view, we have to switch away from all of the TF functions.
PiperOrigin-RevId: 209957896
2018-08-23 10:27:38 -07:00

82 lines
2.3 KiB
Python

licenses(["notice"]) # Apache 2.0
package(default_visibility = ["//tensorflow:internal"])
load("//tensorflow:tensorflow.bzl", "tf_py_wrap_cc")
py_library(
name = "xla_client",
srcs = ["xla_client.py"],
srcs_version = "PY2AND3",
visibility = ["//visibility:public"],
deps = [
":pywrap_xla",
"//tensorflow/compiler/xla:xla_data_proto_py",
"//tensorflow/compiler/xla/service:hlo_proto_py",
],
)
py_test(
name = "xla_client_test",
srcs = ["xla_client_test.py"],
main = "xla_client_test.py",
srcs_version = "PY2AND3",
tags = ["no_oss"],
deps = [
":xla_client",
"//tensorflow/python:platform_test",
],
)
cc_library(
name = "numpy_bridge",
srcs = ["numpy_bridge.cc"],
hdrs = ["numpy_bridge.h"],
deps = [
"//tensorflow/compiler/xla:literal",
"//tensorflow/compiler/xla:literal_util",
"//tensorflow/compiler/xla:shape_util",
"//tensorflow/compiler/xla:xla_data_proto",
"//tensorflow/core:lib",
"//tensorflow/python:numpy_lib",
"@com_google_absl//absl/strings",
],
)
cc_library(
name = "local_computation_builder",
srcs = ["local_computation_builder.cc"],
hdrs = ["local_computation_builder.h"],
deps = [
"//tensorflow/compiler/xla:executable_run_options",
"//tensorflow/compiler/xla:util",
"//tensorflow/compiler/xla:xla_data_proto",
"//tensorflow/compiler/xla/client:client_library",
"//tensorflow/compiler/xla/client:executable_build_options",
"//tensorflow/compiler/xla/client:local_client",
"//tensorflow/compiler/xla/client:xla_builder",
"//tensorflow/compiler/xla/client:xla_computation",
"//tensorflow/compiler/xla/client/lib:math",
"//tensorflow/compiler/xla/service:shaped_buffer",
"//tensorflow/core:framework_lite",
"//tensorflow/core:lib",
"@com_google_absl//absl/memory",
],
)
tf_py_wrap_cc(
name = "pywrap_xla",
srcs = ["xla.i"],
swig_includes = [
"local_computation_builder.i",
],
deps = [
":local_computation_builder",
":numpy_bridge",
"//tensorflow/compiler/xla:literal",
"//tensorflow/compiler/xla:shape_util",
"//tensorflow/compiler/xla:xla_data_proto",
"//tensorflow/compiler/xla/service:cpu_plugin",
],
)