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// Copyright (C) 2017 Davis E. King (davis@dlib.net)
// License: Boost Software License See LICENSE.txt for the full license.
#ifndef DLIB_DNN_CuDA_DATA_PTR_H_
#define DLIB_DNN_CuDA_DATA_PTR_H_
#ifdef DLIB_USE_CUDA
#include <memory>
#include <vector>
namespace dlib
{
namespace cuda
{
// ------------------------------------------------------------------------------------
class cuda_data_void_ptr
{
/*!
WHAT THIS OBJECT REPRESENTS
This is a block of memory on a CUDA device.
!*/
public:
cuda_data_void_ptr() = default;
cuda_data_void_ptr(size_t n);
/*!
ensures
- This object will allocate a device memory buffer of n bytes.
- #size() == n
!*/
void* data() { return pdata.get(); }
const void* data() const { return pdata.get(); }
operator void*() { return pdata.get(); }
operator const void*() const { return pdata.get(); }
void reset() { pdata.reset(); }
size_t size() const { return num; }
/*!
ensures
- returns the length of this buffer, in bytes.
!*/
private:
size_t num = 0;
std::shared_ptr<void> pdata;
};
// ------------------------------------------------------------------------------------
void memcpy(
void* dest,
const cuda_data_void_ptr& src
);
/*!
requires
- dest == a pointer to at least src.size() bytes on the host machine.
ensures
- copies the GPU data from src into dest.
!*/
// ------------------------------------------------------------------------------------
void memcpy(
cuda_data_void_ptr& dest,
const void* src
);
/*!
requires
- dest == a pointer to at least src.size() bytes on the host machine.
ensures
- copies the host data from src to the GPU memory buffer dest.
!*/
// ------------------------------------------------------------------------------------
// ------------------------------------------------------------------------------------
// ------------------------------------------------------------------------------------
template <typename T>
class cuda_data_ptr
{
/*!
WHAT THIS OBJECT REPRESENTS
This is a block of memory on a CUDA device. It is just a type safe
version of cuda_data_void_ptr.
!*/
public:
static_assert(std::is_standard_layout<T>::value, "You can only create basic standard layout types on the GPU");
cuda_data_ptr() = default;
cuda_data_ptr(size_t n) : num(n)
/*!
ensures
- This object will allocate a device memory buffer of n T objects.
- #size() == n
!*/
{
if (n == 0)
return;
pdata = cuda_data_void_ptr(n*sizeof(T));
}
T* data() { return (T*)pdata.data(); }
const T* data() const { return (T*)pdata.data(); }
operator T*() { return (T*)pdata.data(); }
operator const T*() const { return (T*)pdata.data(); }
void reset() { pdata.reset(); }
size_t size() const { return num; }
friend void memcpy(
std::vector<T>& dest,
const cuda_data_ptr& src
)
{
dest.resize(src.size());
if (src.size() != 0)
memcpy(dest.data(), src.pdata);
}
friend void memcpy(
cuda_data_ptr& src,
const std::vector<T>& dest
)
{
if (dest.size() != src.size())
dest = cuda_data_ptr<T>(src.size());
if (src.size() != 0)
memcpy(src.pdata, dest.data());
}
private:
size_t num = 0;
cuda_data_void_ptr pdata;
};
// ------------------------------------------------------------------------------------
class resizable_cuda_buffer
{
/*!
WHAT THIS OBJECT REPRESENTS
This is a block of memory on a CUDA device that will be automatically
resized if requested size is larger than allocated.
!*/
public:
cuda_data_void_ptr get(size_t size)
/*!
ensures
- This object will return the buffer of requested size of larger
- buffer.size() >= size
!*/
{
if (buffer.size() < size)
{
buffer.reset();
buffer = cuda_data_void_ptr(size);
}
return buffer;
}
private:
cuda_data_void_ptr buffer;
};
}
}
#endif // DLIB_USE_CUDA
#endif // DLIB_DNN_CuDA_DATA_PTR_H_
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