blob: e3079bbd573ed0d01bff64f730c23abeb7eb96b1 [file] [log] [blame]
load("//tensorflow:tensorflow.bzl", "cuda_py_test")
load("//tensorflow:tensorflow.bzl", "py_test", "tf_py_test")
package(
default_visibility = ["//visibility:public"],
licenses = ["notice"], # Apache 2.0
)
py_library(
name = "profiler",
srcs = ["profiler.py"],
srcs_version = "PY2AND3",
visibility = ["//visibility:public"],
deps = [
":model_analyzer",
":option_builder",
":tfprof_logger",
"//tensorflow/core/profiler:protos_all_py",
"//tensorflow/python:util",
],
)
py_library(
name = "option_builder",
srcs = ["option_builder.py"],
srcs_version = "PY2AND3",
deps = [
":tfprof_logger",
],
)
py_library(
name = "model_analyzer",
srcs = ["model_analyzer.py"],
srcs_version = "PY2AND3",
deps = [
":option_builder",
":tfprof_logger",
"//tensorflow/core/profiler:protos_all_py",
"//tensorflow/python:errors",
"//tensorflow/python:pywrap_tensorflow",
"@six_archive//:six",
],
)
cuda_py_test(
name = "model_analyzer_test",
srcs = ["model_analyzer_test.py"],
additional_deps = [
":profile_context",
":model_analyzer",
"//tensorflow/python/profiler/internal:model_analyzer_testlib",
"//tensorflow/python:client",
"//tensorflow/python:client_testlib",
"//tensorflow/python:framework_for_generated_wrappers",
"//tensorflow/python:distributed_framework_test_lib",
"//tensorflow/python:platform",
"//tensorflow/python:variables",
],
tags = [
"no_pip",
"nomac", # b/139551813
"notap",
"oss_serial",
],
xla_enable_strict_auto_jit = False, # Node names are different with autojit
)
cuda_py_test(
name = "profiler_test",
srcs = ["profiler_test.py"],
additional_deps = [
":model_analyzer",
"//tensorflow/python:client",
"//tensorflow/python:client_testlib",
"//tensorflow/python:framework_for_generated_wrappers",
"//tensorflow/python:platform",
"//tensorflow/python/profiler/internal:model_analyzer_testlib",
"//tensorflow/python:variables",
],
tags = ["no_pip"],
xla_enable_strict_auto_jit = False, # Node names are different with autojit
)
py_library(
name = "tfprof_logger",
srcs = ["tfprof_logger.py"],
srcs_version = "PY2AND3",
deps = [
"//tensorflow/core/profiler:protos_all_py",
"//tensorflow/python:framework_for_generated_wrappers",
"//tensorflow/python:platform",
"//tensorflow/python/profiler/internal:flops_registry",
"@six_archive//:six",
],
)
tf_py_test(
name = "tfprof_logger_test",
size = "small",
srcs = ["tfprof_logger_test.py"],
additional_deps = [
":tfprof_logger",
"//tensorflow/core:protos_all_py",
"//tensorflow/core/profiler:protos_all_py",
"//tensorflow/python:array_ops",
"//tensorflow/python:client",
"//tensorflow/python:client_testlib",
"//tensorflow/python:framework_for_generated_wrappers",
"//tensorflow/python:math_ops",
],
)
py_library(
name = "profile_context",
srcs = ["profile_context.py"],
srcs_version = "PY2AND3",
deps = [
":model_analyzer",
":tfprof_logger",
],
)
cuda_py_test(
name = "profile_context_test",
srcs = ["profile_context_test.py"],
additional_deps = [
":profile_context",
"//tensorflow/python:client",
"//tensorflow/python:client_testlib",
"//tensorflow/python:framework_for_generated_wrappers",
"//tensorflow/python:platform",
"//tensorflow/python/profiler/internal:model_analyzer_testlib",
"//tensorflow/python:variables",
],
tags = [
"no_gpu", # b/136036359
"no_pip",
],
xla_enable_strict_auto_jit = False, # Node names are different with autojit
)
py_library(
name = "pprof_profiler",
srcs = ["pprof_profiler.py"],
srcs_version = "PY2AND3",
deps = ["@com_google_pprof//:pprof_proto_py"],
)
py_test(
name = "pprof_profiler_test",
size = "small",
srcs = ["pprof_profiler_test.py"],
main = "pprof_profiler_test.py",
python_version = "PY2",
srcs_version = "PY2AND3",
tags = ["no_pip"], # TODO(annarev): get it working with pip.
deps = [
":pprof_profiler",
"//tensorflow/core:protos_all_py",
"//tensorflow/python:client_testlib",
"//tensorflow/python:constant_op",
"//tensorflow/python:control_flow_ops",
"//tensorflow/python:math_ops",
"@com_google_pprof//:pprof_proto_py",
],
)
py_library(
name = "traceme",
srcs = ["traceme.py"],
srcs_version = "PY2AND3",
deps = [
"//tensorflow/python:platform",
],
)
py_library(
name = "scoped_annotation",
srcs = ["scoped_annotation.py"],
srcs_version = "PY2AND3",
deps = [
"//tensorflow/python:platform",
],
)