The Composable Kernel library provides a lightweight wrapper to simplify the more complex operations.
Example:
const auto shape_4x2x4 = ck::make_tuple(4, ck::make_tuple(2, 4));
const auto strides_s2x1x8 = ck::make_tuple(2, ck::make_tuple(1, 8));
const auto layout = ck::wrapper::make_layout(shape_4x2x4, strides_s2x1x8);
std::array<ck::index_t, 32> data;
auto tensor = ck::wrapper::make_tensor<ck::wrapper::MemoryTypeEnum::Generic>(&data[0], layout);
for(ck::index_t w = 0; w < size(tensor); w++) {
tensor(w) = w;
}
// slice() == slice(0, -1) (whole dimension)
auto tensor_slice = tensor(ck::wrapper::slice(1, 3), ck::make_tuple(ck::wrapper::slice(), ck::wrapper::slice()));
std::cout << "dims:2,(2,4) strides:2,(1,8)" << std::endl;
for(ck::index_t h = 0; h < ck::wrapper::size<0>(tensor_slice); h++)
{
for(ck::index_t w = 0; w < ck::wrapper::size<1>(tensor_slice); w++)
{
std::cout << tensor_slice(h, w) << " ";
}
std::cout << std::endl;
}
Output:
dims:2,(2,4) strides:2,(1,8) 1 5 9 13 17 21 25 29 2 6 10 14 18 22 26 30
Tutorials:
Advanced examples:
.. doxygenstruct:: Layout
.. doxygenfile:: include/ck/wrapper/utils/layout_utils.hpp
.. doxygenstruct:: Tensor
.. doxygenfile:: include/ck/wrapper/utils/tensor_utils.hpp
.. doxygenfile:: include/ck/wrapper/utils/tensor_partition.hpp
.. doxygenfile:: include/ck/wrapper/operations/copy.hpp
.. doxygenfile:: include/ck/wrapper/operations/gemm.hpp