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/* Copyright 2016 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.
==============================================================================*/
// MakeCleanup(f) returns an RAII cleanup object that calls 'f' in its
// destructor. The easiest way to use MakeCleanup is with a lambda argument,
// capturing the return value in an 'auto' local variable. Most users will not
// need more sophisticated syntax than that.
//
// Example:
// void func() {}
// FILE* fp = fopen("data.txt", "r");
// if (fp == nullptr) return;
// auto fp_cleaner = gtl::MakeCleanup([fp] { fclose(fp); });
// // No matter what, fclose(fp) will happen.
// DataObject d;
// while (ReadDataObject(fp, &d)) {
// if (d.IsBad()) {
// LOG(ERROR) << "Bad Data";
// return;
// }
// PushGoodData(d);
// }
// }
//
// You can use Cleanup<F> directly, instead of using MakeCleanup and auto,
// but there's rarely a reason to do that.
//
// You can call 'release()' on a Cleanup object to cancel the cleanup.
#ifndef TENSORFLOW_LIB_GTL_CLEANUP_H_
#define TENSORFLOW_LIB_GTL_CLEANUP_H_
#include <type_traits>
#include <utility>
#include "tensorflow/core/platform/macros.h"
namespace tensorflow {
namespace gtl {
// A move-only RAII object that calls a stored cleanup functor when
// destroyed. Cleanup<F> is the return type of gtl::MakeCleanup(F).
template <typename F>
class Cleanup {
public:
Cleanup()
: released_(true), f_() {}
template <typename G>
explicit Cleanup(G&& f) // NOLINT
: f_(std::forward<G>(f)) {} // NOLINT(build/c++11)
Cleanup(Cleanup&& src) // NOLINT
: released_(src.is_released()), f_(src.release()) { }
// Implicitly move-constructible from any compatible Cleanup<G>.
// The source will be released as if src.release() were called.
// A moved-from Cleanup can be safely destroyed or reassigned.
template <typename G>
Cleanup(Cleanup<G>&& src) // NOLINT
: released_(src.is_released()), f_(src.release()) { }
// Assignment to a Cleanup object behaves like destroying it
// and making a new one in its place, analogous to unique_ptr
// semantics.
Cleanup& operator=(Cleanup&& src) { // NOLINT
if (!released_) f_();
released_ = src.released_;
f_ = src.release();
return *this;
}
~Cleanup() {
if (!released_) f_();
}
// Releases the cleanup function instead of running it.
// Hint: use c.release()() to run early.
F release() {
released_ = true;
return std::move(f_);
}
bool is_released() const { return released_; }
private:
static_assert(!std::is_reference<F>::value, "F must not be a reference");
bool released_ = false;
F f_;
};
template <int&... ExplicitParameterBarrier,
typename F, typename DecayF = typename std::decay<F>::type>
TF_MUST_USE_RESULT Cleanup<DecayF> MakeCleanup(F&& f) {
return Cleanup<DecayF>(std::forward<F>(f));
}
} // namespace gtl
} // namespace tensorflow
#endif // TENSORFLOW_LIB_GTL_CLEANUP_H_
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