Remove unused concat code

src/targets/gpu/device/concat.cpp

@@ -9,41 +9,6 @@ inline namespace MIGRAPHX_INLINE_NS {
 namespace gpu {
 namespace device {
 
-#if 0
-argument concat(hipStream_t stream,
-                const migraphx::shape&,
-                std::vector<migraphx::argument> args_vec,
-                std::vector<std::size_t> offsets_vec)
-{
-    static constexpr const std::size_t limit = 6;
-    if(offsets_vec.size() > limit)
-        MIGRAPHX_THROW("Too many arguments to concat");
-    std::size_t nelements =
-        std::max_element(args_vec.begin(),
-                         std::prev(args_vec.end()),
-                         by(std::less<>{}, [&](auto&& x) { return x.get_shape().elements(); }))
-            ->get_shape()
-            .elements();
-    auto offsets = to_hip_vector<limit>(offsets_vec);
-    hip_visit_all<limit + 1>(args_vec)([&](auto args) {
-        auto output  = args.back();
-        auto ninputs = args.size() - 1;
-        gs_launch(stream, nelements)([=](auto i) {
-            for(std::size_t j = 0; j < ninputs; j++)
-            {
-                auto&& arg = args[j];
-                if(i >= arg.size())
-                    continue;
-                auto idx = output.get_shape().index(arg.get_shape().multi(i));
-                output.data()[idx + offsets[j]] = arg.data()[i];
-            }
-        });
-    });
-    return args_vec.back();
-}
-
-#else
-
 argument concat(hipStream_t stream,
                 const migraphx::shape&,
                 std::vector<migraphx::argument> args,
@@ -65,29 +30,6 @@ argument concat(hipStream_t stream,
     return args.back();
 }
 
-// argument concat(hipStream_t stream,
-//                 const migraphx::shape& output_shape,
-//                 std::vector<migraphx::argument> args,
-//                 std::vector<std::size_t> offsets)
-// {
-//     for(std::size_t l = 0; l < args.size() - 1; l++)
-//     {
-//         auto argl             = args[l];
-//         std::size_t nelements = argl.get_shape().elements();
-//         visit_all(args.back(), argl)([&](auto output, auto input) {
-//             visit_tensor_size(output_shape.lens().size(), [&](auto ndim) {
-//                 auto* outptr      = output.data() + offsets[l];
-//                 const auto* inptr = input.data();
-//                 hip_tensor_descriptor<ndim> desc_input(input.get_shape());
-//                 hip_tensor_descriptor<ndim> desc_output(output.get_shape());
-//                 gs_launch(stream, nelements)(
-//                     [=](auto i) { outptr[desc_output.linear(desc_input.multi(i))] = inptr[i]; });
-//             });
-//         });
-//     }
-//     return args.back();
-// }
-#endif
 } // namespace device
 } // namespace gpu
 } // namespace MIGRAPHX_INLINE_NS