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chore: import upstream snapshot with attribution
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127 lines
3.9 KiB
Python

load("//tensorflow:tensorflow.bzl", "tf_cc_test")
load("//tensorflow/core/platform:rules_cc.bzl", "cc_library")
licenses(["notice"])
package(
# copybara:uncomment default_applicable_licenses = ["//tensorflow:license"],
default_visibility = ["//visibility:private"],
)
cc_library(
name = "auto_clustering_test_helper",
testonly = True,
srcs = ["auto_clustering_test_helper.cc"],
hdrs = ["auto_clustering_test_helper.h"],
visibility = ["//visibility:public"],
deps = [
"//tensorflow/compiler/jit:compilation_passes",
"//tensorflow/compiler/jit:jit_compilation_passes",
"//tensorflow/compiler/jit:xla_cluster_util",
"//tensorflow/compiler/jit:xla_cpu_jit",
"//tensorflow/compiler/jit:xla_gpu_jit",
"//tensorflow/core:core_cpu",
"//tensorflow/core:framework",
"//tensorflow/core:lib",
"//tensorflow/core:lib_internal",
"//tensorflow/core:test",
"//tensorflow/core:test_main",
"//tensorflow/tools/optimization:optimization_pass_runner_lib",
"@com_google_absl//absl/status:statusor",
"@com_google_absl//absl/strings",
"@xla//xla:status_macros",
],
)
tf_cc_test(
name = "auto_clustering_test",
srcs = ["auto_clustering_test.cc"],
data = [
"keras_imagenet_main.golden_summary",
"keras_imagenet_main.pbtxt",
"keras_imagenet_main_graph_mode.golden_summary",
"keras_imagenet_main_graph_mode.pbtxt",
"opens2s_gnmt_mixed_precision.golden_summary",
"opens2s_gnmt_mixed_precision.pbtxt.gz",
],
tags = ["config-cuda-only"],
deps = [
":auto_clustering_test_helper",
"//tensorflow/core:test",
"@com_google_absl//absl/log:check",
"@com_google_absl//absl/status",
"@com_google_absl//absl/strings",
],
)
cc_library(
name = "device_compiler_test_helper",
testonly = True,
srcs = ["device_compiler_test_helper.cc"],
hdrs = ["device_compiler_test_helper.h"],
visibility = [
"//tensorflow/compiler/jit:__pkg__",
],
deps = [
"//tensorflow/compiler/jit:xla_activity_listener",
"//tensorflow/compiler/jit:xla_compilation_cache_proto_cc",
"//tensorflow/compiler/jit:xla_cpu_jit",
"//tensorflow/compiler/jit:xla_gpu_device",
"//tensorflow/compiler/jit:xla_gpu_jit",
"//tensorflow/core:all_kernels",
"//tensorflow/core:core_cpu",
"//tensorflow/core:core_cpu_internal",
"//tensorflow/core:direct_session",
"//tensorflow/core:framework_internal",
"//tensorflow/core:lib",
"//tensorflow/core:lib_internal",
"//tensorflow/core:ops",
"//tensorflow/core:test",
"//tensorflow/core/platform:path",
"@com_google_absl//absl/status",
"@com_google_absl//absl/strings",
"@xla//xla/service:hlo_proto_cc",
],
)
tf_cc_test(
name = "device_compiler_serialize_test",
srcs = [
"device_compiler_serialize_test.cc",
],
tags = [
"config-cuda-only",
"no_oss", # This test only runs with GPU.
"requires-gpu-nvidia",
"xla",
],
deps = [
":device_compiler_test_helper",
"//tensorflow/compiler/jit:compilation_passes",
"//tensorflow/compiler/jit:flags",
"//tensorflow/core:test",
],
)
tf_cc_test(
name = "device_compiler_serialize_options_test",
srcs = [
"device_compiler_serialize_options_test.cc",
],
tags = [
"config-cuda-only",
"no_oss", # This test only runs with GPU.
"requires-gpu-nvidia",
"xla",
],
deps = [
":device_compiler_test_helper",
"//tensorflow/compiler/jit:compilation_passes",
"//tensorflow/compiler/jit:flags",
"//tensorflow/core:test",
"//tensorflow/core/framework:graph_proto_cc",
"@com_google_absl//absl/strings",
"@com_google_googletest//:gtest",
],
)