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usr
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lib64
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python3.6
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torch
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include
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c10
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core
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/usr/local/lib64/python3.6/site-packages/torch/include/c10/core
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impl/
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Allocator.h
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AutogradState.h
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Backend.h
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CompileTimeFunctionPointer.h
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CopyBytes.h
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CPUAllocator.h
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DefaultDtype.h
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DefaultTensorOptions.h
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Device.h
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DeviceGuard.h
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DeviceType.h
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DispatchKey.h
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Event.h
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GeneratorImpl.h
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GradMode.h
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Layout.h
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MemoryFormat.h
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Scalar.h
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ScalarTypeToTypeMeta.h
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Storage.h
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StorageImpl.h
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Stream.h
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StreamGuard.h
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TensorImpl.h
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TensorOptions.h
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thread_pool.h
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UndefinedTensorImpl.h
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WrapDimMinimal.h
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/usr/local/lib64/python3.6/site-packages/torch/include/c10/core/Allocator.h
(8725B)
#pragma once #include <stddef.h> #include <memory> #include <c10/core/Device.h> #include <c10/util/Exception.h> #include <c10/util/ThreadLocalDebugInfo.h> #include <c10/util/UniqueVoidPtr.h> namespace c10 { // A DataPtr is a unique pointer (with an attached deleter and some // context for the deleter) to some memory, which also records what // device is for its data. // // nullptr DataPtrs can still have a nontrivial device; this allows // us to treat zero-size allocations uniformly with non-zero allocations. // class C10_API DataPtr { private: c10::detail::UniqueVoidPtr ptr_; Device device_; public: // Choice of CPU here is arbitrary; if there's an "undefined" device // we could use that too DataPtr() : ptr_(), device_(DeviceType::CPU) {} DataPtr(void* data, Device device) : ptr_(data), device_(device) {} DataPtr(void* data, void* ctx, DeleterFnPtr ctx_deleter, Device device) : ptr_(data, ctx, ctx_deleter), device_(device) {} void* operator->() const { return ptr_.get(); } void clear() { ptr_.clear(); } void* get() const { return ptr_.get(); } void* get_context() const { return ptr_.get_context(); } void* release_context() { return ptr_.release_context(); } std::unique_ptr<void, DeleterFnPtr>&& move_context() { return ptr_.move_context(); } operator bool() const { return static_cast<bool>(ptr_); } template <typename T> T* cast_context(DeleterFnPtr expected_deleter) const { return ptr_.cast_context<T>(expected_deleter); } DeleterFnPtr get_deleter() const { return ptr_.get_deleter(); } /** * Compare the deleter in a DataPtr to expected_deleter. * If it matches, replace the deleter with new_deleter * and return true; otherwise, does nothing and returns * false. * * In general, it is not safe to unconditionally set the * deleter on a DataPtr, because you don't know what * the deleter is, and thus will have a hard time properly * disposing of the deleter without storing the original * deleter (this is difficult to do, because DeleterFnPtr * is not a closure, and because the context on DataPtr is * only a single word, you generally don't have enough * space to store both the original deleter and its context). * However, in some cases, you know /exactly/ what the deleter * is, and you have a new deleter that manually wraps * the old one. In this case, you can safely swap the deleter * after asserting that the deleters line up. * * What are the requirements on new_deleter? It must still * properly dispose of the void* pointer passed in as its argument, * where void* is whatever the context of the original deleter * is. So in general, you expect the new deleter to look something * like this: * * [](void* ptr) { * some_new_stuff(ptr); * get_orig_allocator()->raw_deleter(ptr); * } * * Note that it won't work to close over the original * allocator; you don't have enough space to do that! Also, * it's unsafe to assume that the passed in pointer in * question is the memory pointer in question; it might not * be; be sure to read the source code of the Allocator * in question to confirm this. */ C10_NODISCARD bool compare_exchange_deleter( DeleterFnPtr expected_deleter, DeleterFnPtr new_deleter) { return ptr_.compare_exchange_deleter(expected_deleter, new_deleter); } Device device() const { return device_; } // Unsafely mutates the device on a DataPtr. Under normal use, // you should never actually need to call this function. // We need this for the implementation of the hack detailed // in Note [Masquerading as CUDA] void unsafe_set_device(Device device) { device_ = device; } }; // NB: Device is NOT tested for here; a CUDA nullptr is as much a nullptr as a // CPU nullptr inline bool operator==(const DataPtr& dp, std::nullptr_t) noexcept { return !dp; } inline bool operator==(std::nullptr_t, const DataPtr& dp) noexcept { return !dp; } inline bool operator!=(const DataPtr& dp, std::nullptr_t) noexcept { return dp; } inline bool operator!=(std::nullptr_t, const DataPtr& dp) noexcept { return dp; } // Note [raw_allocate/raw_deallocate and Thrust] // ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ // Thrust's support for custom allocators requires us to write something // like this: // // class ThrustAllocator { // char* allocate(size_t); // void deallocate(char*, size_t); // }; // // This is not good for our unique_ptr based allocator interface, as // there is no way to get to the context when we free. // // However, in some cases the context is exactly the same as // the data pointer. In this case, we can support the "raw" // allocate and deallocate interface. This is what // raw_deleter signifies. By default, it returns a nullptr, which means that // the raw interface is not implemented. Be sure to implement it whenever // possible, or the raw interface will incorrectly reported as unsupported, // when it is actually possible. struct C10_API Allocator { virtual ~Allocator() = default; virtual DataPtr allocate(size_t n) const = 0; // If this returns a non nullptr, it means that allocate() // is guaranteed to return a unique_ptr with this deleter attached; // it means the rawAllocate and rawDeallocate APIs are safe to use. // This function MUST always return the same BoundDeleter. virtual DeleterFnPtr raw_deleter() const { return nullptr; } void* raw_allocate(size_t n) { auto dptr = allocate(n); AT_ASSERT(dptr.get() == dptr.get_context()); return dptr.release_context(); } void raw_deallocate(void* ptr) { auto d = raw_deleter(); AT_ASSERT(d); d(ptr); } }; // This context is used to generate DataPtr which have arbitrary // std::function deleters associated with them. In some user facing // functions, we give a (user-friendly) interface for constructing // tensors from external data which take an arbitrary std::function // deleter. Grep for InefficientStdFunctionContext to find these // occurrences. // // This context is inefficient because we have to do a dynamic // allocation InefficientStdFunctionContext, on top of the dynamic // allocation which is implied by std::function itself. struct C10_API InefficientStdFunctionContext { std::unique_ptr<void, std::function<void(void*)>> ptr_; InefficientStdFunctionContext( std::unique_ptr<void, std::function<void(void*)>>&& ptr) : ptr_(std::move(ptr)) {} static DataPtr makeDataPtr( void* ptr, const std::function<void(void*)>& deleter, Device device); }; /** Set the allocator for DeviceType `t`. The passed in allocator pointer is * expected to have static lifetime; this function does NOT take ownership * of the raw pointer. (The reason for this is to prevent existing pointers * to an allocator of a particular device from being invalidated when * SetAllocator is called.) * * Also note that this is not thread-safe, and we assume this function will * only be called during initialization. * * The 'priority' flag is introduced when we want to overwrite the default * allocator, since the allocators are set statically. The default priority * is 0, which means the lowest. Only higher or equal priority can overwrite * existing ones. */ C10_API void SetAllocator(DeviceType t, Allocator* alloc, uint8_t priority = 0); C10_API Allocator* GetAllocator(const DeviceType& t); template <DeviceType t> struct AllocatorRegisterer { explicit AllocatorRegisterer(Allocator* alloc) { SetAllocator(t, alloc); } }; #define REGISTER_ALLOCATOR(t, f) \ namespace { \ static AllocatorRegisterer<t> g_allocator_d(f); \ } // An interface for reporting thread local memory usage // per device struct C10_API MemoryReportingInfoBase : public c10::DebugInfoBase { MemoryReportingInfoBase(); virtual ~MemoryReportingInfoBase() {} /** * alloc_size corresponds to the size of the ptr. * * total_allocated corresponds to total allocated memory. * * total_reserved corresponds to total size of memory pool, both used and * unused, if applicable. */ virtual void reportMemoryUsage( void* ptr, int64_t alloc_size, int64_t total_allocated, int64_t total_reserved, Device device) = 0; virtual bool memoryProfilingEnabled() const = 0; }; C10_API bool memoryProfilingEnabled(); C10_API void reportMemoryUsageToProfiler( void* ptr, int64_t alloc_size, int64_t total_allocated, int64_t total_reserved, Device device); } // namespace c10
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