Move refcount to core/platform
PiperOrigin-RevId: 282446683 Change-Id: I6b77ab0d2d9d89f75d79e3ffb17ad0752a97f209
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parent
4b4bf4223d
commit
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@ -2131,6 +2131,7 @@ LIB_INTERNAL_PUBLIC_HEADERS = [
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"//tensorflow/core/platform:platform.h",
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"//tensorflow/core/platform:platform.h",
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"//tensorflow/core/platform:monitoring.h",
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"//tensorflow/core/platform:monitoring.h",
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"//tensorflow/core/platform:protobuf_internal.h",
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"//tensorflow/core/platform:protobuf_internal.h",
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"//tensorflow/core/platform:refcount.h",
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"//tensorflow/core/platform:setround.h",
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"//tensorflow/core/platform:setround.h",
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"//tensorflow/core/platform:snappy.h",
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"//tensorflow/core/platform:snappy.h",
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"//tensorflow/core/platform:tensor_coding.h",
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"//tensorflow/core/platform:tensor_coding.h",
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@ -95,7 +95,7 @@ cc_library(
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cc_library(
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cc_library(
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name = "refcount",
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name = "refcount",
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hdrs = ["refcount.h"],
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hdrs = ["refcount.h"],
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deps = ["//tensorflow/core/platform:logging"],
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deps = ["//tensorflow/core/platform:refcount"],
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)
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)
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cc_library(
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cc_library(
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@ -16,103 +16,6 @@ limitations under the License.
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#ifndef TENSORFLOW_LIB_CORE_REFCOUNT_H_
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#ifndef TENSORFLOW_LIB_CORE_REFCOUNT_H_
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#define TENSORFLOW_LIB_CORE_REFCOUNT_H_
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#define TENSORFLOW_LIB_CORE_REFCOUNT_H_
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#include <atomic>
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#include "tensorflow/core/platform/refcount.h"
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#include <memory>
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#include "tensorflow/core/platform/logging.h"
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namespace tensorflow {
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namespace core {
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class RefCounted {
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public:
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// Initial reference count is one.
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RefCounted();
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// Increments reference count by one.
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void Ref() const;
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// Decrements reference count by one. If the count remains
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// positive, returns false. When the count reaches zero, returns
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// true and deletes this, in which case the caller must not access
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// the object afterward.
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bool Unref() const;
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// Return whether the reference count is one.
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// If the reference count is used in the conventional way, a
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// reference count of 1 implies that the current thread owns the
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// reference and no other thread shares it.
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// This call performs the test for a reference count of one, and
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// performs the memory barrier needed for the owning thread
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// to act on the object, knowing that it has exclusive access to the
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// object.
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bool RefCountIsOne() const;
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protected:
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// Make destructor protected so that RefCounted objects cannot
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// be instantiated directly. Only subclasses can be instantiated.
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virtual ~RefCounted();
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private:
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mutable std::atomic_int_fast32_t ref_;
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RefCounted(const RefCounted&) = delete;
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void operator=(const RefCounted&) = delete;
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};
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// A deleter class to form a std::unique_ptr that unrefs objects.
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struct RefCountDeleter {
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void operator()(tensorflow::core::RefCounted* o) const { o->Unref(); }
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};
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// A unique_ptr that unrefs the owned object on destruction.
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template <typename T>
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using RefCountPtr = std::unique_ptr<T, RefCountDeleter>;
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// Helper class to unref an object when out-of-scope.
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class ScopedUnref {
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public:
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explicit ScopedUnref(const RefCounted* o) : obj_(o) {}
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~ScopedUnref() {
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if (obj_) obj_->Unref();
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}
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private:
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const RefCounted* obj_;
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ScopedUnref(const ScopedUnref&) = delete;
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void operator=(const ScopedUnref&) = delete;
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};
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// Inlined routines, since these are performance critical
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inline RefCounted::RefCounted() : ref_(1) {}
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inline RefCounted::~RefCounted() { DCHECK_EQ(ref_.load(), 0); }
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inline void RefCounted::Ref() const {
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DCHECK_GE(ref_.load(), 1);
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ref_.fetch_add(1, std::memory_order_relaxed);
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}
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inline bool RefCounted::Unref() const {
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DCHECK_GT(ref_.load(), 0);
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// If ref_==1, this object is owned only by the caller. Bypass a locked op
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// in that case.
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if (RefCountIsOne() || ref_.fetch_sub(1) == 1) {
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// Make DCHECK in ~RefCounted happy
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DCHECK((ref_.store(0), true));
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delete this;
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return true;
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} else {
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return false;
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}
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}
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inline bool RefCounted::RefCountIsOne() const {
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return (ref_.load(std::memory_order_acquire) == 1);
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}
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} // namespace core
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} // namespace tensorflow
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#endif // TENSORFLOW_LIB_CORE_REFCOUNT_H_
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#endif // TENSORFLOW_LIB_CORE_REFCOUNT_H_
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@ -382,6 +382,14 @@ cc_library(
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],
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],
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)
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)
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cc_library(
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name = "refcount",
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hdrs = ["refcount.h"],
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deps = [
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":logging",
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],
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)
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cc_library(
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cc_library(
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name = "regexp",
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name = "regexp",
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hdrs = ["regexp.h"],
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hdrs = ["regexp.h"],
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118
tensorflow/core/platform/refcount.h
Normal file
118
tensorflow/core/platform/refcount.h
Normal file
@ -0,0 +1,118 @@
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/* Copyright 2015 The TensorFlow Authors. All Rights Reserved.
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License.
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==============================================================================*/
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#ifndef TENSORFLOW_CORE_PLATFORM_REFCOUNT_H_
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#define TENSORFLOW_CORE_PLATFORM_REFCOUNT_H_
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#include <atomic>
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#include <memory>
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#include "tensorflow/core/platform/logging.h"
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namespace tensorflow {
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namespace core {
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class RefCounted {
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public:
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// Initial reference count is one.
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RefCounted();
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// Increments reference count by one.
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void Ref() const;
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// Decrements reference count by one. If the count remains
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// positive, returns false. When the count reaches zero, returns
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// true and deletes this, in which case the caller must not access
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// the object afterward.
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bool Unref() const;
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// Return whether the reference count is one.
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// If the reference count is used in the conventional way, a
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// reference count of 1 implies that the current thread owns the
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// reference and no other thread shares it.
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// This call performs the test for a reference count of one, and
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// performs the memory barrier needed for the owning thread
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// to act on the object, knowing that it has exclusive access to the
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// object.
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bool RefCountIsOne() const;
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protected:
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// Make destructor protected so that RefCounted objects cannot
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// be instantiated directly. Only subclasses can be instantiated.
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virtual ~RefCounted();
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private:
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mutable std::atomic_int_fast32_t ref_;
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RefCounted(const RefCounted&) = delete;
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void operator=(const RefCounted&) = delete;
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};
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// A deleter class to form a std::unique_ptr that unrefs objects.
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struct RefCountDeleter {
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void operator()(tensorflow::core::RefCounted* o) const { o->Unref(); }
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};
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// A unique_ptr that unrefs the owned object on destruction.
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template <typename T>
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using RefCountPtr = std::unique_ptr<T, RefCountDeleter>;
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// Helper class to unref an object when out-of-scope.
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class ScopedUnref {
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public:
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explicit ScopedUnref(const RefCounted* o) : obj_(o) {}
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~ScopedUnref() {
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if (obj_) obj_->Unref();
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}
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private:
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const RefCounted* obj_;
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ScopedUnref(const ScopedUnref&) = delete;
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void operator=(const ScopedUnref&) = delete;
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};
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// Inlined routines, since these are performance critical
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inline RefCounted::RefCounted() : ref_(1) {}
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inline RefCounted::~RefCounted() { DCHECK_EQ(ref_.load(), 0); }
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inline void RefCounted::Ref() const {
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DCHECK_GE(ref_.load(), 1);
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ref_.fetch_add(1, std::memory_order_relaxed);
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}
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inline bool RefCounted::Unref() const {
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DCHECK_GT(ref_.load(), 0);
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// If ref_==1, this object is owned only by the caller. Bypass a locked op
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// in that case.
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if (RefCountIsOne() || ref_.fetch_sub(1) == 1) {
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// Make DCHECK in ~RefCounted happy
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DCHECK((ref_.store(0), true));
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delete this;
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return true;
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} else {
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return false;
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}
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}
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inline bool RefCounted::RefCountIsOne() const {
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return (ref_.load(std::memory_order_acquire) == 1);
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}
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} // namespace core
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} // namespace tensorflow
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#endif // TENSORFLOW_CORE_PLATFORM_REFCOUNT_H_
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