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Execute functions asynchronously in MXNet
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201 changes: 201 additions & 0 deletions 3rdparty/dlpack/LICENSE
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176 changes: 176 additions & 0 deletions 3rdparty/dlpack/dlpack.h
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/*!
* [DLPack: Open In Memory Tensor Structure](http://github.com/dmlc/dlpack)
* License: Apache License 2.0
* https://github.com/dmlc/dlpack/blob/master/LICENSE
*
* Copyright (c) 2017 by Contributors
* \file dlpack.h
* \brief The common header of DLPack.
*/
#ifndef DLPACK_DLPACK_H_
#define DLPACK_DLPACK_H_

#ifdef __cplusplus
#define DLPACK_EXTERN_C extern "C"
#else
#define DLPACK_EXTERN_C
#endif

/*! \brief The current version of dlpack */
#define DLPACK_VERSION 020

/*! \brief DLPACK_DLL prefix for windows */
#ifdef _WIN32
#ifdef DLPACK_EXPORTS
#define DLPACK_DLL __declspec(dllexport)
#else
#define DLPACK_DLL __declspec(dllimport)
#endif
#else
#define DLPACK_DLL
#endif

#include <stddef.h>
#include <stdint.h>

#ifdef __cplusplus
extern "C" {
#endif
/*!
* \brief The device type in DLContext.
*/
typedef enum {
/*! \brief CPU device */
kDLCPU = 1,
/*! \brief CUDA GPU device */
kDLGPU = 2,
/*!
* \brief Pinned CUDA GPU device by cudaMallocHost
* \note kDLCPUPinned = kDLCPU | kDLGPU
*/
kDLCPUPinned = 3,
/*! \brief OpenCL devices. */
kDLOpenCL = 4,
/*! \brief Vulkan buffer for next generation graphics. */
kDLVulkan = 7,
/*! \brief Metal for Apple GPU. */
kDLMetal = 8,
/*! \brief Verilog simulator buffer */
kDLVPI = 9,
/*! \brief ROCm GPUs for AMD GPUs */
kDLROCM = 10,
/*!
* \brief Reserved extension device type,
* used for quickly test extension device
* The semantics can differ depending on the implementation.
*/
kDLExtDev = 12,
} DLDeviceType;

/*!
* \brief A Device context for Tensor and operator.
*/
typedef struct {
/*! \brief The device type used in the device. */
DLDeviceType device_type;
/*! \brief The device index */
int device_id;
} DLContext;

/*!
* \brief The type code options DLDataType.
*/
typedef enum {
kDLInt = 0U,
kDLUInt = 1U,
kDLFloat = 2U,
} DLDataTypeCode;

/*!
* \brief The data type the tensor can hold.
*
* Examples
* - float: type_code = 2, bits = 32, lanes=1
* - float4(vectorized 4 float): type_code = 2, bits = 32, lanes=4
* - int8: type_code = 0, bits = 8, lanes=1
*/
typedef struct {
/*!
* \brief Type code of base types.
* We keep it uint8_t instead of DLDataTypeCode for minimal memory
* footprint, but the value should be one of DLDataTypeCode enum values.
* */
uint8_t code;
/*!
* \brief Number of bits, common choices are 8, 16, 32.
*/
uint8_t bits;
/*! \brief Number of lanes in the type, used for vector types. */
uint16_t lanes;
} DLDataType;

/*!
* \brief Plain C Tensor object, does not manage memory.
*/
typedef struct {
/*!
* \brief The opaque data pointer points to the allocated data. This will be
* CUDA device pointer or cl_mem handle in OpenCL. This pointer is always
* aligns to 256 bytes as in CUDA.
*
* For given DLTensor, the size of memory required to store the contents of
* data is calculated as follows:
*
* \code{.c}
* static inline size_t GetDataSize(const DLTensor* t) {
* size_t size = 1;
* for (tvm_index_t i = 0; i < t->ndim; ++i) {
* size *= t->shape[i];
* }
* size *= (t->dtype.bits * t->dtype.lanes + 7) / 8;
* return size;
* }
* \endcode
*/
void* data;
/*! \brief The device context of the tensor */
DLContext ctx;
/*! \brief Number of dimensions */
int ndim;
/*! \brief The data type of the pointer*/
DLDataType dtype;
/*! \brief The shape of the tensor */
int64_t* shape;
/*!
* \brief strides of the tensor,
* can be NULL, indicating tensor is compact.
*/
int64_t* strides;
/*! \brief The offset in bytes to the beginning pointer to data */
uint64_t byte_offset;
} DLTensor;

/*!
* \brief C Tensor object, manage memory of DLTensor. This data structure is
* intended to faciliate the borrowing of DLTensor by another framework. It is
* not meant to transfer the tensor. When the borrowing framework doesn't need
* the tensor, it should call the deleter to notify the host that the resource
* is no longer needed.
*/
typedef struct DLManagedTensor {
/*! \brief DLTensor which is being memory managed */
DLTensor dl_tensor;
/*! \brief the context of the original host framework of DLManagedTensor in
* which DLManagedTensor is used in the framework. It can also be NULL.
*/
void* manager_ctx;
/*! \brief Destructor signature void (*)(void*) - this should be called
* to destruct manager_ctx which holds the DLManagedTensor. It can be NULL
* if there is no way for the caller to provide a reasonable destructor.
*/
void (*deleter)(struct DLManagedTensor* self);
} DLManagedTensor;
#ifdef __cplusplus
} // DLPACK_EXTERN_C
#endif
#endif // DLPACK_DLPACK_H_
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