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|
use crate::common::CudaDriverFns;
use cuda_types::*;
use rand_chacha::rand_core::{RngCore, SeedableRng};
use std::{ffi::c_void, mem, ptr};
mod common;
cuda_driver_test!(kernel_texref_2d);
unsafe fn kernel_texref_2d<T: CudaDriverFns>(cuda: T) {
let kernel = include_str!("kernel_texref_2d.ptx");
let mut kernel = kernel.to_owned();
kernel.push('\0');
assert_eq!(cuda.cuInit(0), CUresult::CUDA_SUCCESS);
let mut ctx = ptr::null_mut();
assert_eq!(
cuda.cuCtxCreate_v2(&mut ctx, 0, CUdevice_v1(0)),
CUresult::CUDA_SUCCESS
);
let mut module = ptr::null_mut();
assert_eq!(
cuda.cuModuleLoadData(&mut module, kernel.as_ptr() as _),
CUresult::CUDA_SUCCESS
);
let mut texref = ptr::null_mut();
assert_eq!(
cuda.cuModuleGetTexRef(&mut texref, module, b"image\0".as_ptr() as _),
CUresult::CUDA_SUCCESS
);
let mut texture_memory = CUdeviceptr_v2(ptr::null_mut());
let mut texture_pitch = 0usize;
let width = 3;
let height = 3;
assert_eq!(
cuda.cuMemAllocPitch_v2(
&mut texture_memory,
&mut texture_pitch,
width * mem::size_of::<u32>(),
height,
4,
),
CUresult::CUDA_SUCCESS
);
let mut rng = rand_chacha::ChaCha8Rng::seed_from_u64(0xcb42848a346f8673);
let mut texture_host_side = (0..width * height)
.map(|_| rng.next_u32())
.collect::<Vec<_>>();
assert_eq!(
cuda.cuMemcpy2D_v2(&CUDA_MEMCPY2D {
srcXInBytes: 0,
srcY: 0,
srcMemoryType: CUmemorytype::CU_MEMORYTYPE_HOST,
srcHost: texture_host_side.as_mut_ptr() as _,
srcDevice: CUdeviceptr_v2(ptr::null_mut()),
srcArray: ptr::null_mut(),
srcPitch: width * mem::size_of::<u32>(),
dstXInBytes: 0,
dstY: 0,
dstMemoryType: CUmemorytype::CU_MEMORYTYPE_DEVICE,
dstHost: ptr::null_mut(),
dstDevice: texture_memory,
dstArray: ptr::null_mut(),
dstPitch: texture_pitch,
WidthInBytes: width * mem::size_of::<u32>(),
Height: height,
}),
CUresult::CUDA_SUCCESS
);
assert_eq!(
cuda.cuTexRefSetFormat(texref, CUarray_format_enum::CU_AD_FORMAT_UNSIGNED_INT8, 4),
CUresult::CUDA_SUCCESS
);
assert_eq!(
cuda.cuTexRefSetAddress2D_v3(
texref,
&CUDA_ARRAY_DESCRIPTOR {
Width: width,
Height: height,
Format: CUarray_format::CU_AD_FORMAT_UNSIGNED_INT8,
NumChannels: 4,
},
texture_memory,
texture_pitch,
),
CUresult::CUDA_SUCCESS
);
let mut kernel = ptr::null_mut();
assert_eq!(
cuda.cuModuleGetFunction(&mut kernel, module, b"texref\0".as_ptr() as _),
CUresult::CUDA_SUCCESS
);
let mut out_b = mem::zeroed();
assert_eq!(
cuda.cuMemAlloc_v2(&mut out_b, 4 * mem::size_of::<u32>()),
CUresult::CUDA_SUCCESS
);
let x = 1.0f32;
let y = 2.0f32;
let mut args = [
&x as *const f32 as *const c_void,
&y as *const f32 as *const _,
&out_b as *const _ as *const _,
];
assert_eq!(
cuda.cuLaunchKernel(
kernel,
1,
1,
1,
1,
1,
1,
1024,
0 as _,
args.as_mut_ptr() as _,
ptr::null_mut(),
),
CUresult::CUDA_SUCCESS
);
let mut result = vec![0f32; 4usize];
for i in 0..result.len() {
result[i] = mem::transmute(u32::MAX);
}
assert_eq!(
cuda.cuMemcpyDtoH_v2(
result.as_mut_ptr() as _,
out_b,
result.len() * mem::size_of::<u32>(),
),
CUresult::CUDA_SUCCESS
);
assert_eq!(cuda.cuStreamSynchronize(0 as _), CUresult::CUDA_SUCCESS);
let pixel = texture_host_side[width * (y as usize) + (x as usize)].to_ne_bytes();
assert_eq!(result[0] * 255f32, pixel[3] as f32);
assert_eq!(result[1] * 255f32, pixel[2] as f32);
assert_eq!(result[2] * 255f32, pixel[1] as f32);
assert_eq!(result[3] * 255f32, pixel[0] as f32);
}
|
