ce43d4d7d9
Refactored the XRT memory compaction API into the memory manager. Allowed the memory manager API to be able to swap out unpinned tuple allocations, and perform memory compaction, under memory pressure. Made some clearly-const XRT state APIs as such. Removed a ResourceMgr API which now has no more uses. PiperOrigin-RevId: 249115186
109 lines
2.9 KiB
C++
109 lines
2.9 KiB
C++
/* Copyright 2019 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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// Utility functions in support of the XRT API.
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#ifndef TENSORFLOW_COMPILER_XRT_XRT_REFPTR_H_
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#define TENSORFLOW_COMPILER_XRT_XRT_REFPTR_H_
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#include <cstddef>
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namespace tensorflow {
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// Reference counted smart pointer for XRT objects providing the standard
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// Ref()/Unref() APIs.
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template <typename T>
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class RefPtr {
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public:
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RefPtr() = default;
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// Creates a RefPtr from a pointer. This is an ownership transfer operation,
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// and the caller has to own a valid reference to ptr (unless ptr is nullptr).
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RefPtr(T* ptr) : ptr_(ptr) {} // NOLINT
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RefPtr(const RefPtr& other) : ptr_(other.ptr_) { Acquire(ptr_); }
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RefPtr(RefPtr&& other) : ptr_(other.ptr_) { other.ptr_ = nullptr; }
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~RefPtr() { Release(ptr_); }
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RefPtr& operator=(const RefPtr& other) {
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if (this != &other) {
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Acquire(other.ptr_);
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Release(ptr_);
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ptr_ = other.ptr_;
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}
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return *this;
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}
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RefPtr& operator=(RefPtr&& other) {
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if (this != &other) {
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Release(ptr_);
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ptr_ = other.ptr_;
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other.ptr_ = nullptr;
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}
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return *this;
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}
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operator bool() const { return ptr_ != nullptr; } // NOLINT
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bool operator==(const RefPtr& rhs) const { return ptr_ == rhs.ptr_; }
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bool operator!=(const RefPtr& rhs) const { return ptr_ != rhs.ptr_; }
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bool operator==(const T* ptr) const { return ptr_ == ptr; }
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bool operator!=(const T* ptr) const { return ptr_ != ptr; }
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bool operator==(std::nullptr_t ptr) const { return ptr_ == ptr; }
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bool operator!=(std::nullptr_t ptr) const { return ptr_ != ptr; }
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T* get() const { return ptr_; }
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T* operator->() const {
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CHECK(ptr_ != nullptr); // Crash OK
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return ptr_;
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}
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T& operator*() const {
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CHECK(ptr_ != nullptr); // Crash OK
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return *ptr_;
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}
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T* release() {
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T* ptr = ptr_;
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ptr_ = nullptr;
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return ptr;
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}
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// Resets the RefPtr from a pointer. This is an ownership transfer operation,
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// and the caller has to own a valid reference to ptr (unless ptr is nullptr).
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void reset(T* ptr = nullptr) {
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Release(ptr_);
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ptr_ = ptr;
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}
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private:
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static void Release(T* ptr) {
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if (ptr != nullptr) {
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ptr->Unref();
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}
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}
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static void Acquire(T* ptr) {
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if (ptr != nullptr) {
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ptr->Ref();
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}
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}
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T* ptr_ = nullptr;
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};
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} // namespace tensorflow
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#endif // TENSORFLOW_COMPILER_XRT_XRT_REFPTR_H_
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