#include namespace migraphx { inline namespace MIGRAPHX_INLINE_NS { argument fill_argument(shape s, unsigned long value) { argument result; if(s.type() == shape::tuple_type) { std::vector sub_args; const auto& sub_ss = s.sub_shapes(); std::transform(sub_ss.begin(), sub_ss.end(), std::back_inserter(sub_args), [&](auto ss) { return fill_argument(ss, value); }); result = argument(sub_args); } else { s.visit_type([&](auto as) { using type = typename decltype(as)::type; auto v = fill_tensor_data(s, value); result = {s, v}; }); } return result; } argument generate_argument(shape s, unsigned long seed) { argument result; if(s.type() == shape::tuple_type) { const auto& sub_ss = s.sub_shapes(); std::vector sub_args; std::transform(sub_ss.begin(), sub_ss.end(), std::back_inserter(sub_args), [&](auto ss) { return generate_argument(ss, seed); }); result = argument(sub_args); } else { s.visit_type([&](auto as) { // we use char type to store bool type internally, so bool_type // needs special processing to generate data if(s.type() == shape::bool_type) { auto v = generate_tensor_data(s, seed); result = {s, v}; } else { using type = typename decltype(as)::type; auto v = generate_tensor_data(s, seed); result = {s, v}; } }); } return result; } literal generate_literal(shape s, unsigned long seed) { literal result; s.visit_type([&](auto as) { using type = typename decltype(as)::type; auto v = generate_tensor_data(s, seed); result = {s, reinterpret_cast(v.get())}; }); return result; } // TODO: Move to literal.cpp literal abs(literal l) { return transform(std::move(l), [](auto x) { return std::fabs(x); }); } } // namespace MIGRAPHX_INLINE_NS } // namespace migraphx