本文整理汇总了C++中device::create_buffer方法的典型用法代码示例。如果您正苦于以下问题：C++ device::create_buffer方法的具体用法？C++ device::create_buffer怎么用？C++ device::create_buffer使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类device的用法示例。
在下文中一共展示了device::create_buffer方法的2个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的C++代码示例。
示例1:
ibuffer::ibuffer(const device &device, const vk::BufferUsageFlags flags, const void *data, const size_t size)
: device_(device), size_(size)
{
handle_ = device.create_buffer(
vk::BufferCreateInfo()
.size(static_cast<vk::DeviceSize>(size))
.usage(flags));
gpumem_ = gpu_memory(
device,
device.get_buffer_memory_requirements(handle_),
vk::MemoryPropertyFlagBits::eHostVisible,
data);
device.bind_buffer_memory(handle_, gpumem_.handle(), 0);
}示例2: hpxcl_single_initialize
static void hpxcl_single_initialize( hpx::naming::id_type node_id,
size_t vector_size)
{
// Query all devices on local node
std::vector<device> devices = get_devices( node_id,
CL_DEVICE_TYPE_GPU,
"OpenCL 1.1" ).get();
/*
// print devices
hpx::cout << "Devices:" << hpx::endl;
for(cl_uint i = 0; i < devices.size(); i++)
{
device cldevice = devices[i];
// Query name
std::string device_name = device::device_info_to_string(
cldevice.get_device_info(CL_DEVICE_NAME));
std::string device_vendor = device::device_info_to_string(
cldevice.get_device_info(CL_DEVICE_VENDOR));
hpx::cout << i << ": " << device_name << " (" << device_vendor << ")"
<< hpx::endl;
}
// Lets you choose a device
size_t device_num;
hpx::cout << "Choose device: " << hpx::endl;
std::cin >> device_num;
if(device_num < 0 || device_num >= devices.size())
exit(0);
// Select a device
hpxcl_single_device = devices[device_num];
*/
size_t device_id = 0;
// print device
hpx::cout << "Device:" << hpx::endl;
{
device cldevice = devices[device_id];
// Query name
std::string device_name = device::device_info_to_string(
cldevice.get_device_info(CL_DEVICE_NAME));
std::string device_vendor = device::device_info_to_string(
cldevice.get_device_info(CL_DEVICE_VENDOR));
hpx::cout << " " << device_name << " (" << device_vendor << ")"
<< hpx::endl;
}
// Select a device
hpxcl_single_device = devices[device_id];
// Create program
hpxcl_single_program = hpxcl_single_device.create_program_with_source(
gpu_code);
// Build program
hpxcl_single_program.build();
// Create kernels
hpxcl_single_log_kernel = hpxcl_single_program.create_kernel("logn");
hpxcl_single_exp_kernel = hpxcl_single_program.create_kernel("expn");
hpxcl_single_mul_kernel = hpxcl_single_program.create_kernel("mul");
hpxcl_single_add_kernel = hpxcl_single_program.create_kernel("add");
hpxcl_single_dbl_kernel = hpxcl_single_program.create_kernel("dbl");
// Generate buffers
hpxcl_single_buffer_a = hpxcl_single_device.create_buffer(
CL_MEM_READ_ONLY,
vector_size * sizeof(float));
hpxcl_single_buffer_b = hpxcl_single_device.create_buffer(
CL_MEM_READ_ONLY,
vector_size * sizeof(float));
hpxcl_single_buffer_c = hpxcl_single_device.create_buffer(
CL_MEM_READ_ONLY,
vector_size * sizeof(float));
hpxcl_single_buffer_m = hpxcl_single_device.create_buffer(
CL_MEM_READ_WRITE,
vector_size * sizeof(float));
hpxcl_single_buffer_n = hpxcl_single_device.create_buffer(
CL_MEM_READ_WRITE,
vector_size * sizeof(float));
hpxcl_single_buffer_o = hpxcl_single_device.create_buffer(
CL_MEM_READ_WRITE,
vector_size * sizeof(float));
hpxcl_single_buffer_p = hpxcl_single_device.create_buffer(
CL_MEM_READ_WRITE,
vector_size * sizeof(float));
hpxcl_single_buffer_z = hpxcl_single_device.create_buffer(
CL_MEM_WRITE_ONLY,
vector_size * sizeof(float));
//.........这里部分代码省略.........