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#pragma once
#include <torch/csrc/WindowsTorchApiMacro.h>
#include <vector>
namespace torch {
namespace jit {
namespace tensorexpr {
class KernelScopedObject;
// An arena that manages all the underlying kernel-scoped objects.
class KernelArena {
public:
static KernelArena* GetCurrentKernelArena();
static void SetCurrentKernelArena(KernelArena* new_arena);
TORCH_API KernelArena() {}
TORCH_API ~KernelArena();
private:
KernelArena(const KernelArena&) = delete;
KernelArena& operator=(const KernelArena&) = delete;
friend class KernelScopedObject;
std::vector<KernelScopedObject*> kernel_objects_; // owned
};
// A RAII convenience wrapper on top of a kernel.
// It either creates or takes an existing Kernel and sets it as the current
// Kernel. When this object is destroyed, the previous Kernel is set as current,
// and the created kernel is freed. If the kernel was passed, it stays alive.
class KernelScope {
public:
TORCH_API KernelScope();
TORCH_API explicit KernelScope(KernelArena* arena_);
TORCH_API ~KernelScope();
private:
KernelScope(const KernelScope&) = delete;
KernelScope& operator=(const KernelScope&) = delete;
KernelArena* old_kernel_arena_ =
nullptr; // previous arena, will be restored in destructor
bool owning_ = false; // determines whether the arena will be freed along with
// the scope object
};
// The base object managed by the Kernel.
// The object must be created through "new", and when the Kernel is destroyed,
// All its registered objects are destroyed through "delete".
class TORCH_API KernelScopedObject {
public:
KernelScopedObject();
virtual ~KernelScopedObject() = default;
private:
KernelScopedObject(const KernelScopedObject&) = delete;
KernelScopedObject& operator=(const KernelScopedObject&) = delete;
};
} // namespace tensorexpr
} // namespace jit
} // namespace torch
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