Refactor pad

src/targets/gpu/device/include/migraphx/gpu/device/tensor_view.hpp

@@ -13,6 +13,7 @@ template <class T, std::size_t N>
 struct hip_tensor_view
 {
     using value_type                      = T;
+    using hip_index                      = typename hip_shape<N>::hip_index;
     __device__ __host__ hip_tensor_view() = default;
     __host__ hip_tensor_view(tensor_view<T> x) : d(x.data()), s(x.get_shape()) {}
     __host__ hip_tensor_view(T* x, const shape& ss) : d(x), s(ss) {}

src/targets/gpu/device/pad.cpp

@@ -15,33 +15,25 @@ argument
 pad(hipStream_t stream, argument result, argument arg1, float value, std::vector<std::int64_t> pads)
 {
     std::size_t nelements = arg1.get_shape().elements();
-    visit_all(result)([&](auto output) {
-        auto* outptr                 = device_cast(output.data());
+    hip_visit_all(result, arg1)([&](auto output, auto input) {
         using type                   = typename decltype(output)::value_type;
-        device_type<type> device_val = value;
+        using hip_index             = typename decltype(output)::hip_index;
+        type device_val = value;
         if(float_equal(value, std::numeric_limits<float>::lowest()))
         {
             device_val = device_cast(std::numeric_limits<type>::lowest());
         }
-        gs_launch(stream, result.get_shape().elements())([=](auto i) { outptr[i] = device_val; });
-    });
+        gs_launch(stream, result.get_shape().elements())([=](auto i) { output.data()[i] = device_val; });
 
-    visit_all(result, arg1)([&](auto output, auto input) {
-        visit_tensor_size(result.get_shape().lens().size(), [&](auto ndim) {
-            std::size_t offsets[ndim];
-            std::copy(pads.begin(), pads.begin() + ndim, offsets);
-            auto* outptr      = output.data();
-            const auto* inptr = input.data();
-            hip_tensor_descriptor<ndim> desc_input(input.get_shape());
-            hip_tensor_descriptor<ndim> desc_output(output.get_shape());
+        hip_index offsets;
+        std::copy(pads.begin(), pads.begin() + offsets.size(), offsets.begin());
         gs_launch(stream, nelements)([=](auto i) {
-                auto idx = desc_input.multi(i);
-                for(std::size_t j = 0; j < ndim; j++)
+            auto idx = input.get_shape().multi(i);
+            for(std::size_t j = 0; j < offsets.size(); j++)
             {
                 idx[j] += offsets[j];
             }
-                outptr[desc_output.linear(idx)] = inptr[i];
-            });
+            output[idx] = input.data()[i];
         });        
     });
     return result;