tensoradapter.h

// !!! This is a file automatically generated by hipify!!!
/**
 *  Copyright (c) 2020-2022 by Contributors
 * @file tensoradapter.h
 * @brief Header file for functions exposed by the adapter library.
 *
 * Functions in this library must be exported with extern "C" so that DGL can
 * locate them with dlsym(3) (or GetProcAddress on Windows).
 */

#ifndef TENSORADAPTER_H_
#define TENSORADAPTER_H_

#ifdef DGL_USE_CUDA
#include <hip/hip_runtime.h>
#endif  // DGL_USE_CUDA

namespace tensoradapter {

extern "C" {

/**
 * @brief Allocate a piece of CPU memory via
 * PyTorch's CPUAllocator
 *
 * @param nbytes The size to be allocated.
 * @return Pointer to the allocated memory.
 */
void* CPURawAlloc(size_t nbytes);

/**
 * @brief Free the CPU memory.
 *
 * @param ptr Pointer to the memory to be freed.
 */
void CPURawDelete(void* ptr);

#ifdef DGL_USE_CUDA
/**
 * @brief Allocate a piece of GPU memory via
 * PyTorch's THCCachingAllocator.
 *
 * @param nbytes The size to be allocated.
 * @param stream The stream to be allocated on.
 * @return Pointer to the allocated memory.
 */
void* CUDARawAlloc(size_t nbytes, hipStream_t stream);

/**
 * @brief Free the GPU memory.
 *
 * @param ptr Pointer to the memory to be freed.
 */
void CUDARawDelete(void* ptr);

/**
 * @brief Get the current CUDA stream.
 */
hipStream_t CUDACurrentStream();

/**
 * @brief Let the caching allocator know which streams are using this tensor.
 *
 * @param ptr Pointer of the tensor to be recorded.
 * @param stream The stream that is using this tensor.
 * @param device_id Device of the tensor.
 */
void RecordStream(void* ptr, hipStream_t stream, int device_id);

/**
 * @brief Allocate a piece of pinned CPU memory via
 *     PyTorch's CachingHostAllocator.
 *
 * @param nbytes The size to be allocated.
 * @param ctx Pointer to the PyTorch storage ctx ptr returned from the
 *     allocator.
 * @param deleter Pointer to the delete function ptr returned from the
 *     allocator.
 * @return Raw pointer to the allocated memory.
 */
void* CUDARawHostAlloc(size_t nbytes, void** ctx, void** raw_deleter);

/**
 * @brief 'Free' the pinned CPU memory via
 *     inserting the memory block back to the free list.
 *
 * @param deleter Pointer to the delete function ptr returned from the
 *     allocator.
 */
void CUDARawHostDelete(void** raw_deleter);

/**
 * @brief 'Record' a CUDA stream (usually from a copy kernel) for the pinned
 *     memory via PyTorch's CachingHostAllocator.
 *
 * @param data Pointer of the tensor to be recorded.
 * @param ctx PyTorch storage ctx ptr returned from the allocator.
 * @param stream The stream that currently consumes this tensor.
 * @param device_id Device of the tensor.
 */
void CUDARecordHostAlloc(
    void* data, void* ctx, hipStream_t stream, int device_id);

/**
 * @brief Release cached pinned memory allocations via cudaHostFree.
 */
void CUDAHostAllocatorEmptyCache();

#endif  // DGL_USE_CUDA
}

};  // namespace tensoradapter

#endif  // TENSORADAPTER_H_