simplify host conv forward

host/driver_offline/src/conv_fwd_driver_offline.cpp

@@ -15,7 +15,7 @@
 //#include "device_convolution_forward_implicit_gemm_v4r4_dlops_nchw_kcyx_nkhw.hpp"
 //#include "device_convolution_forward_implicit_gemm_v4r4r2_dlops_nhwc_kyxc_nhwk.hpp"
 //#include "device_convolution_forward_implicit_gemm_v6r1_dlops_nchw_kcyx_nkhw.hpp"
-#include "device_convolution_forward_implicit_gemm_v4r4r2_xdlops_nchw_kcyx_nkhw.hpp"
+//#include "device_convolution_forward_implicit_gemm_v4r4r2_xdlops_nchw_kcyx_nkhw.hpp"
 #include "device_convolution_forward_implicit_gemm_v4r4r4_xdlops_nhwc_kyxc_nhwk.hpp"
 
 #define USE_DYNAMIC_MODE 1
@@ -65,7 +65,7 @@ void host_convolution_forward(const Tensor<TIn>& in,
     constexpr auto I1 = Number<1>{};
 
     auto f_nchw = [&](auto n, auto k, auto ho, auto wo) {
-        double v = 0;
+        float v = 0;
         for(int c = 0; c < wei.mDesc.GetLengths()[1]; ++c)
         {
             for(int y = 0; y < wei.mDesc.GetLengths()[2]; ++y)
@@ -77,33 +77,18 @@ void host_convolution_forward(const Tensor<TIn>& in,
                     if(hi >= 0 && hi < in.mDesc.GetLengths()[2] && wi >= 0 &&
                        wi < in.mDesc.GetLengths()[3])
                     {
-                        if constexpr(is_same<TIn, ushort>::value)
-                        {
-                            v += ck::type_convert<float>(in(n, c, hi, wi)) *
-                                 ck::type_convert<float>(wei(k, c, y, x));
-                        }
-                        else
-                        {
-                            v += static_cast<const double>(in(n, c, hi, wi)) *
-                                 static_cast<const double>(wei(k, c, y, x));
-                        }
+                        v += ck::type_convert<float>(in(n, c, hi, wi)) *
+                             ck::type_convert<float>(wei(k, c, y, x));
                     }
                 }
             }
         }
 
-        if constexpr(is_same<TOut, ushort>::value)
-        {
-            out(n, k, ho, wo) = ck::type_convert<ushort>(static_cast<float>(v));
-        }
-        else
-        {
-            out(n, k, ho, wo) = v;
-        }
+        out(n, k, ho, wo) = ck::type_convert<TOut>(v);
     };
 
     auto f_nhwc = [&](auto n, auto ho, auto wo, auto k) {
-        double v = 0;
+        float v = 0;
         for(int c = 0; c < wei.mDesc.GetLengths()[3]; ++c)
         {
             for(int y = 0; y < wei.mDesc.GetLengths()[1]; ++y)
@@ -115,28 +100,14 @@ void host_convolution_forward(const Tensor<TIn>& in,
                     if(hi >= 0 && hi < in.mDesc.GetLengths()[1] && wi >= 0 &&
                        wi < in.mDesc.GetLengths()[2])
                     {
-                        if constexpr(is_same<TIn, ushort>::value)
-                        {
-                            v += ck::type_convert<float>(in(n, hi, wi, c)) *
-                                 ck::type_convert<float>(wei(k, y, x, c));
-                        }
-                        else
-                        {
-                            v += static_cast<const double>(in(n, hi, wi, c)) *
-                                 static_cast<const double>(wei(k, y, x, c));
-                        }
+                        v += ck::type_convert<float>(in(n, hi, wi, c)) *
+                             ck::type_convert<float>(wei(k, y, x, c));
                     }
                 }
             }
         }
-        if constexpr(is_same<TOut, ushort>::value)
-        {
-            out(n, ho, wo, k) = ck::type_convert<ushort>(static_cast<float>(v));
-        }
-        else
-        {
-            out(n, ho, wo, k) = v;
-        }
+
+        out(n, ho, wo, k) = ck::type_convert<TOut>(v);
     };
 
     if(layout == ConvTensorLayout::NCHW)
@@ -250,7 +221,7 @@ int main(int argc, char* argv[])
     constexpr auto Wo = (Wi + in_left_pad_w + in_right_pad_w - XEff) / conv_stride_w + I1;
 #endif
 
-#if 0
+#if 1
     using in_data_t  = float;
     using acc_data_t = float;
     using out_data_t = float;