CUB provides an iterator for texture references, the implementation of which is readily accessible.
Since I couldn't figure out how to implement template-able texture references myself - they "can only be declared as a static global variable" - I am now trying to understand how it's done in CUB. But some of it is beyond my C++ knowledge, and I haven't been able to find the answers elsewhere (then again, I don't really know what to search for).
Specifically:
Is the unnamed namespace
surrounding IteratorTexRef
significant? I can only think that it is to limit IteratorTexRef::TexId::ref
to file/translation unit scope.
What is the purpose of IteratorTexRef
? It only wraps TexId
, but removing it results in unintelligible (to me) compile-time errors.
This code, a stripped-down version of the linked-to implementation, compiles and runs:
#include <thrust/device_vector.h>
namespace {
template <typename T>
struct IteratorTexRef
{
template <int UNIQUE_ID>
struct TexId
{
// Assume T is a valid texture word size.
typedef texture<T> TexRef;
static TexRef ref;
static __device__ T fetch(ptrdiff_t offset)
{
return tex1Dfetch(ref, offset);
}
};
};
template <typename T>
template <int UNIQUE_ID>
typename IteratorTexRef<T>:: template TexId<UNIQUE_ID>::TexRef IteratorTexRef<T>:: template TexId<UNIQUE_ID>::ref;
} // Anomymous namespace
template <typename T, int UNIQUE_ID = 0>
class TextureRefIterator
{
private:
typedef typename IteratorTexRef<T>:: template TexId<UNIQUE_ID> TexId;
ptrdiff_t tex_offset;
public:
__device__ T operator[](int i) const
{
return TexId::fetch(this->tex_offset + i);
}
cudaError_t bind(
const T* const ptr,
size_t bytes = size_t(-1))
{
size_t offset;
cudaError_t state = cudaBindTexture(&offset, TexId::ref, ptr, bytes);
this->tex_offset = (ptrdiff_t) (offset / sizeof(T));
return state;
}
};
template <typename TexIter>
__global__ void kernel(TexIter iter)
{
int a = iter[threadIdx.x];
printf("tid %d, a %d\n", threadIdx.x, a);
}
template <typename T>
void launch_kernel(T* d_in)
{
TextureRefIterator<T> tex_iter;
tex_iter.bind(d_in);
kernel<<<1, 32>>>(tex_iter);
}
int main()
{
thrust::device_vector<float> d_in(32, 1);
launch_kernel(thrust::raw_pointer_cast(d_in.data()));
}
The closest I got was something similar to the below, based on how one would normally access a static template member. For clarity, the below simply eliminates IteratorTexRef
from the above:
#include <thrust/device_vector.h>
namespace {
template <typename T, int UNIQUE_ID>
struct TexId
{
// Assume T is a valid texture word size.
typedef texture<T> TexRef;
static TexRef ref;
static __device__ T fetch(ptrdiff_t offset)
{
return tex1Dfetch(ref, offset);
}
};
template <typename T, int UNIQUE_ID>
typename TexId<T, UNIQUE_ID>::TexRef TexId<T, UNIQUE_ID>::ref;
} // Anonymous namespace
template <typename T, int UNIQUE_ID = 0>
class TextureRefIterator
{
private:
typedef TexId<T, UNIQUE_ID> TexId;
ptrdiff_t tex_offset;
public:
__device__ T operator[](int i) const
{
return TexId::fetch(this->tex_offset + i);
}
cudaError_t bind(
const T* const ptr,
size_t bytes = size_t(-1))
{
size_t offset;
cudaError_t state = cudaBindTexture(&offset, TexId::ref, ptr, bytes);
this->tex_offset = (ptrdiff_t) (offset / sizeof(T));
return state;
}
};
template <typename TexIter>
__global__ void kernel(TexIter iter)
{
int a = iter[0];
printf("tid %d, a %d\n", threadIdx.x, a);
}
template <typename T>
void launch_kernel(T* d_in)
{
TextureRefIterator<T> tex_iter;
tex_iter.bind(d_in);
kernel<<<1, 32>>>(tex_iter);
}
int main()
{
thrust::device_vector<float> d_in(32, 1);
launch_kernel(thrust::raw_pointer_cast(d_in.data()));
}
It gives these somewhat esoteric compile-time errors. (Compiled with nvcc iter.cu
and CUDA 7.0):
In file included from tmpxft_000057d4_00000000-4_test2.cudafe1.stub.c:1:0:
/tmp/tmpxft_000057d4_00000000-4_test2.cudafe1.stub.c:30:3737: error: macro "__text_var" passed 3 arguments, but takes just 2
dIfLi0EE3refE,::_NV_ANON_NAMESPACE::TexId<float, (int)0> ::ref), 1, 0, 0);__cudaReg
^
/tmp/tmpxft_000057d4_00000000-4_test2.cudafe1.stub.c:30:1: error: macro "__device__text_var" passed 3 arguments, but takes just 2
static void __nv_cudaEntityRegisterCallback(void **__T2202){__nv_dummy_param_ref(__
^
/tmp/tmpxft_000057d4_00000000-4_test2.cudafe1.stub.c:30:1: error: macro "__name__text_var" passed 3 arguments, but takes just 2