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Delete Python ScopedAnnotation

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PiperOrigin-RevId: 312316009
Change-Id: I6d5d9afc55b33bb832ba5c7a867c65efdea4a5c2
This commit is contained in:
Jose Baiocchi 2020-05-19 11:16:42 -07:00 committed by TensorFlower Gardener
parent 0fd60fe3a3
commit 273617ad91
5 changed files with 0 additions and 133 deletions
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6
tensorflow/core/profiler/lib/BUILD
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@ -139,12 +139,6 @@ cc_library(
], ],
) )
tf_pybind_cc_library_wrapper(
name = "scoped_annotation_headers",
visibility = ["//tensorflow/python/profiler/internal:__pkg__"],
deps = [":scoped_annotation"],
)
cc_library( cc_library(
name = "scoped_annotation", name = "scoped_annotation",
hdrs = ["scoped_annotation.h"], hdrs = ["scoped_annotation.h"],

10
tensorflow/python/profiler/BUILD
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@ -239,13 +239,3 @@ py_library(
":trace", ":trace",
], ],
) )
py_library(
name = "scoped_annotation",
srcs = ["scoped_annotation.py"],
srcs_version = "PY2AND3",
deps = [
"//tensorflow/python/profiler/internal:_pywrap_scoped_annotation",
"@six_archive//:six",
],
)

13
tensorflow/python/profiler/internal/BUILD
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@ -95,19 +95,6 @@ tf_python_pybind_extension(
], ],
) )
tf_python_pybind_extension(
name = "_pywrap_scoped_annotation",
srcs = ["scoped_annotation_wrapper.cc"],
features = ["-layering_check"],
module_name = "_pywrap_scoped_annotation",
deps = [
"//tensorflow/core:lib",
"//tensorflow/core/profiler/lib:scoped_annotation_headers",
"@com_google_absl//absl/types:optional",
"@pybind11",
],
)
tf_python_pybind_extension( tf_python_pybind_extension(
name = "_pywrap_profiler", name = "_pywrap_profiler",
srcs = ["profiler_wrapper.cc"], srcs = ["profiler_wrapper.cc"],

55
tensorflow/python/profiler/internal/scoped_annotation_wrapper.cc
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@ -1,55 +0,0 @@
/* Copyright 2019 The TensorFlow Authors. All Rights Reserved.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
==============================================================================*/
#include <utility>
#include "absl/types/optional.h"
#include "pybind11/pybind11.h"
#include "tensorflow/core/platform/types.h"
#include "tensorflow/core/profiler/lib/scoped_annotation.h"
namespace py = pybind11;
namespace {
// Helper to implement ScopedAnnotation as a context manager in Python.
class ScopedAnnotationWrapper {
public:
explicit ScopedAnnotationWrapper(const tensorflow::string& name)
: name_(name) {}
void Enter() { annotation_.emplace(std::move(name_)); }
void Exit() { annotation_.reset(); }
static bool IsEnabled() {
return tensorflow::profiler::ScopedAnnotation::IsEnabled();
}
private:
tensorflow::string name_;
absl::optional<tensorflow::profiler::ScopedAnnotation> annotation_;
};
} // namespace
PYBIND11_MODULE(_pywrap_scoped_annotation, m) {
py::class_<ScopedAnnotationWrapper> scoped_annotation_class(
m, "ScopedAnnotation");
scoped_annotation_class.def(py::init<const tensorflow::string&>())
.def("Enter", &ScopedAnnotationWrapper::Enter)
.def("Exit", &ScopedAnnotationWrapper::Exit)
.def_static("IsEnabled", &ScopedAnnotationWrapper::IsEnabled);
};

49
tensorflow/python/profiler/scoped_annotation.py
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@ -1,49 +0,0 @@
# Copyright 2019 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# ==============================================================================
"""ScopedAnnotation allows the profiler to annotate device (e.g., GPU) events.
Usage:
with scoped_annotation.ScopedAnnotation('name'):
...
"""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import six
from tensorflow.python.profiler.internal import _pywrap_scoped_annotation
class ScopedAnnotation(object):
"""Context manager that generates an annotation for the profiler."""
def __init__(self, name, **kwargs):
if _pywrap_scoped_annotation.ScopedAnnotation.IsEnabled():
if kwargs:
name += '#' + ','.join(key + '=' + str(value)
for key, value in six.iteritems(kwargs)) + '#'
self._scoped_annotation = _pywrap_scoped_annotation.ScopedAnnotation(name)
else:
self._scoped_annotation = None
def __enter__(self):
if self._scoped_annotation:
self._scoped_annotation.Enter()
def __exit__(self, exc_type, exc_val, exc_tb):
if self._scoped_annotation:
self._scoped_annotation.Exit()