link mean dim kernels (pytorch#8053)

Summary:

titled

Differential Revision: D68845587

backends/cadence/fusion_g3/operators/op_mean.cpp

@@ -28,6 +28,29 @@ namespace impl {
 namespace G3 {
 namespace native {
 
+template <typename CTYPE_IN, typename CTYPE_OUT>
+void mean_out_(
+    const Tensor& in,
+    optional<ArrayRef<int64_t>> dim_list,
+    __ET_UNUSED bool keepdim,
+    __ET_UNUSED optional<ScalarType> dtype,
+    Tensor& out) {
+  CTYPE_OUT* out_data = out.mutable_data_ptr<CTYPE_OUT>();
+  const size_t num = torch::executor::get_reduced_dim_product(in, dim_list);
+  for (size_t out_ix = 0; out_ix < out.numel(); ++out_ix) {
+    CTYPE_OUT sum = 0;
+    if (in.numel() > 0) {
+      sum = torch::executor::map_reduce_over_dim_list<CTYPE_IN, CTYPE_OUT>(
+          [](CTYPE_IN v) { return static_cast<CTYPE_OUT>(v); },
+          [](CTYPE_OUT outv, CTYPE_OUT acc) { return acc + outv; },
+          in,
+          dim_list,
+          out_ix);
+    }
+    out_data[out_ix] = sum / static_cast<float>(num);
+  }
+}
+
 int prepare_data(
     const Tensor& in,
     Tensor& out,
@@ -60,7 +83,7 @@ int prepare_data(
   return num_axis_dims;
 }
 
-Tensor& mean_dim_out(
+Tensor& mean_out(
     KernelRuntimeContext& ctx,
     const Tensor& in,
     optional<ArrayRef<int64_t>> dim_list,
@@ -169,29 +192,8 @@ Tensor& mean_dim_out(
         InvalidArgument,
         out);
 
-    ET_SWITCH_REALHB_TYPES(in.scalar_type(), ctx, "mean.out", CTYPE_IN, [&] {
-      ET_SWITCH_FLOATH_TYPES(
-          out.scalar_type(), ctx, "mean.out", CTYPE_OUT, [&] {
-            CTYPE_OUT* out_data = out.mutable_data_ptr<CTYPE_OUT>();
-            const size_t num =
-                torch::executor::get_reduced_dim_product(in, dim_list);
-            for (size_t out_ix = 0; out_ix < out.numel(); ++out_ix) {
-              CTYPE_OUT sum = 0;
-              if (in.numel() > 0) {
-                sum = torch::executor::
-                    map_reduce_over_dim_list<CTYPE_IN, CTYPE_OUT>(
-                        [](CTYPE_IN v) { return static_cast<CTYPE_OUT>(v); },
-                        [](CTYPE_OUT outv, CTYPE_OUT acc) {
-                          return acc + outv;
-                        },
-                        in,
-                        dim_list,
-                        out_ix);
-              }
-              out_data[out_ix] = sum / static_cast<float>(num);
-            }
-          });
-    });
+    mean_out_<float, float>(in, dim_list, keepdim, dtype, out);
+    return out;
   }
 
   return out;