diff --git a/composable_kernel/include/kernel_algorithm/gridwise_convolution_implicit_gemm_v4_nchw_kcyx_nkhw_lds_double_buffer.hpp b/composable_kernel/include/kernel_algorithm/gridwise_convolution_implicit_gemm_v4_nchw_kcyx_nkhw_lds_double_buffer.hpp
index 38e9360016..433ba2d855 100644
--- a/composable_kernel/include/kernel_algorithm/gridwise_convolution_implicit_gemm_v4_nchw_kcyx_nkhw_lds_double_buffer.hpp
+++ b/composable_kernel/include/kernel_algorithm/gridwise_convolution_implicit_gemm_v4_nchw_kcyx_nkhw_lds_double_buffer.hpp
@@ -22,6 +22,8 @@ template <index_t GridSize,
           class InGlobalDesc,
           class WeiGlobalDesc,
           class OutGlobalDesc,
+          class ConvStrides,
+          class ConvDilations,
           index_t BPerBlock,
           index_t KPerBlock,
           index_t EPerBlock,
@@ -117,15 +119,17 @@ struct GridwiseConvolutionImplicitGemm_v4_nchw_kcyx_nkhw_lds_double_buffer
 
         // input tensor
         //     tensor descriptor in device memory [N0, N1, N2, Ho, Wo]
-        constexpr auto in_n0_n1_n2_h_w_global_desc = in_n_c_h_w_global_desc.Slice(I2, Number<Ho>{})
-                                                         .Slice(I3, Number<Wo>{})
-                                                         .Fold(I0, Number<N1>{}, Number<N2>{})
-                                                         .Extract(Sequence<0, 1, 2, 4, 5>{});
+        constexpr auto in_n0_n1_n2_h_w_global_desc =
+            in_n_c_h_w_global_desc.StridedSlice(I2, Number<Ho>{}, Number<ConvStrides::Get(I0)>{})
+                .StridedSlice(I3, Number<Wo>{}, Number<ConvStrides::Get(I1)>{})
+                .Fold(I0, Number<N1>{}, Number<N2>{})
+                .Extract(Sequence<0, 1, 2, 4, 5>{});
 
         //     batch descritpor for device memory
-        constexpr auto in_c_y_x_global_desc = in_n_c_h_w_global_desc.Slice(I2, Number<Y>{})
-                                                  .Slice(I3, Number<X>{})
-                                                  .Extract(Sequence<1, 2, 3>{});
+        constexpr auto in_c_y_x_global_desc =
+            in_n_c_h_w_global_desc.StridedSlice(I2, Number<Y>{}, Number<ConvDilations::Get(I0)>{})
+                .StridedSlice(I3, Number<X>{}, Number<ConvDilations::Get(I1)>{})
+                .Extract(Sequence<1, 2, 3>{});
 
         //     merged tensor descriptor in device memory [E, N1, B, N2], src of blockwise copy
         constexpr auto in_e_n1_b_n2_global_merged_desc = make_ConstantMergedTensorDescriptor(
diff --git a/composable_kernel/include/tensor_description/ConstantTensorDescriptor.hpp b/composable_kernel/include/tensor_description/ConstantTensorDescriptor.hpp
index 76c3761d10..f93a5a60cd 100644
--- a/composable_kernel/include/tensor_description/ConstantTensorDescriptor.hpp
+++ b/composable_kernel/include/tensor_description/ConstantTensorDescriptor.hpp
@@ -320,6 +320,18 @@ struct ConstantTensorDescriptor
         return ConstantTensorDescriptor<slice_lengths, Strides>{};
     }
 
+    template <index_t IDim, index_t SliceLength, index_t SliceStride>
+    __host__ __device__ static constexpr auto
+        StridedSlice(Number<IDim>, Number<SliceLength>, Number<SliceStride>)
+    {
+        constexpr index_t new_stride = Strides::Get(Number<IDim>{}) * SliceStride;
+
+        using new_lengths = decltype(Lengths::Modify(Number<IDim>{}, Number<SliceLength>{}));
+        using new_strides = decltype(Strides::Modify(Number<IDim>{}, Number<new_stride>{}));
+
+        return ConstantTensorDescriptor<new_lengths, new_strides>{};
+    }
+
     template <index_t IDim, index_t... FoldIntervals>
     __host__ __device__ static constexpr auto Fold(Number<IDim>, Number<FoldIntervals>...)
     {
diff --git a/driver/include/conv_common.hpp b/driver/include/conv_common.hpp
index 254f4c5651..d1ddb42317 100644
--- a/driver/include/conv_common.hpp
+++ b/driver/include/conv_common.hpp
@@ -36,11 +36,14 @@ constexpr auto get_convolution_output_default_4d_tensor_descriptor(InDesc, WeiDe
     return make_ConstantTensorDescriptor_packed(Sequence<N, K, HO, WO>{});
 }
 
-template <class InDesc, class WeiDesc, class LowerPads, class UpperPads>
-constexpr auto get_convolution_with_padding_output_default_4d_tensor_descriptor(InDesc,
-                                                                                WeiDesc,
-                                                                                LowerPads,
-                                                                                UpperPads)
+template <class InDesc,
+          class WeiDesc,
+          class ConvStrides,
+          class ConvDilations,
+          class LowerPads,
+          class UpperPads>
+constexpr auto get_convolution_with_padding_output_default_4d_tensor_descriptor(
+    InDesc, WeiDesc, ConvStrides, ConvDilations, LowerPads, UpperPads)
 {
     constexpr auto in_desc  = InDesc{};
     constexpr auto wei_desc = WeiDesc{};
@@ -55,24 +58,27 @@ constexpr auto get_convolution_with_padding_output_default_4d_tensor_descriptor(
     static_assert(in_desc.GetLength(I1) == wei_desc.GetLength(I1),
                   "input & weight dimension not consistent");
 
-    constexpr auto N  = in_desc.GetLength(I0);
-    constexpr auto HI = in_desc.GetLength(I2);
-    constexpr auto WI = in_desc.GetLength(I3);
+    constexpr index_t N  = in_desc.GetLength(I0);
+    constexpr index_t Hi = in_desc.GetLength(I2);
+    constexpr index_t Wi = in_desc.GetLength(I3);
 
-    constexpr auto K = wei_desc.GetLength(I0);
-    constexpr auto Y = wei_desc.GetLength(I2);
-    constexpr auto X = wei_desc.GetLength(I3);
+    constexpr index_t K = wei_desc.GetLength(I0);
+    constexpr index_t Y = wei_desc.GetLength(I2);
+    constexpr index_t X = wei_desc.GetLength(I3);
 
-    constexpr auto HPadLow = LowerPads{}.Get(I0);
-    constexpr auto WPadLow = LowerPads{}.Get(I1);
+    constexpr index_t HPadLow = LowerPads{}.Get(I0);
+    constexpr index_t WPadLow = LowerPads{}.Get(I1);
 
-    constexpr auto HPadUp = UpperPads{}.Get(I0);
-    constexpr auto WPadUp = UpperPads{}.Get(I1);
+    constexpr index_t HPadUp = UpperPads{}.Get(I0);
+    constexpr index_t WPadUp = UpperPads{}.Get(I1);
 
-    constexpr auto HO = HI + HPadLow + HPadUp + 1 - Y;
-    constexpr auto WO = WI + WPadLow + WPadUp + 1 - X;
+    constexpr index_t YEff = (Y - 1) * ConvDilations{}[0] + 1;
+    constexpr index_t XEff = (X - 1) * ConvDilations{}[1] + 1;
 
-    return make_ConstantTensorDescriptor_packed(Sequence<N, K, HO, WO>{});
+    constexpr index_t Ho = (Hi + HPadLow + HPadUp - YEff) / ConvStrides{}[0] + 1;
+    constexpr index_t Wo = (Wi + WPadLow + WPadUp - XEff) / ConvStrides{}[1] + 1;
+
+    return make_ConstantTensorDescriptor_packed(Sequence<N, K, Ho, Wo>{});
 }
 
 template <class InDesc, class WeiDesc, class OutDesc>
diff --git a/driver/include/device_convolution_implicit_gemm_v4_nchw_kcyx_nkhw.hpp b/driver/include/device_convolution_implicit_gemm_v4_nchw_kcyx_nkhw.hpp
index 80a6155271..3d12acd24a 100644
--- a/driver/include/device_convolution_implicit_gemm_v4_nchw_kcyx_nkhw.hpp
+++ b/driver/include/device_convolution_implicit_gemm_v4_nchw_kcyx_nkhw.hpp
@@ -8,13 +8,20 @@
 
 using namespace ck;
 
-template <class T, class InDesc, class WeiDesc, class OutDesc>
+template <class T,
+          class InDesc,
+          class WeiDesc,
+          class OutDesc,
+          class ConvStrides,
+          class ConvDilations>
 void device_convolution_implicit_gemm_v4_nchw_kcyx_nkhw(InDesc,
                                                         const Tensor<T>& in_nchw,
                                                         WeiDesc,
                                                         const Tensor<T>& wei_kcyx,
                                                         OutDesc,
                                                         Tensor<T>& out_nkhw,
+                                                        ConvStrides,
+                                                        ConvDilations,
                                                         index_t nrepeat)
 {
     constexpr auto I0 = Number<0>{};
@@ -107,6 +114,8 @@ void device_convolution_implicit_gemm_v4_nchw_kcyx_nkhw(InDesc,
              decltype(in_nchw_desc),
              decltype(wei_kcyx_desc),
              decltype(out_nkhw_desc),
+             ConvStrides,
+             ConvDilations,
              BPerBlock,
              KPerBlock,
              CPerBlock,
diff --git a/driver/src/driver.cpp b/driver/src/driver.cpp
index b930734c00..bfca88bc53 100644
--- a/driver/src/driver.cpp
+++ b/driver/src/driver.cpp
@@ -103,10 +103,18 @@ auto make_TensorDescriptor(TConstTensorDesc)
     return TensorDescriptor(lengths, strides);
 }
 
-template <class TIn, class TWei, class TOut, class LowerPads, class UpperPads>
+template <class TIn,
+          class TWei,
+          class TOut,
+          class ConvStrides,
+          class ConvDilations,
+          class LowerPads,
+          class UpperPads>
 void host_direct_convolution(const Tensor<TIn>& in_nchw,
                              const Tensor<TWei>& wei_kcyx,
                              Tensor<TOut>& out_nkhw,
+                             ConvStrides,
+                             ConvDilations,
                              LowerPads,
                              UpperPads)
 {
@@ -122,10 +130,10 @@ void host_direct_convolution(const Tensor<TIn>& in_nchw,
         {
             for(int y = 0; y < wei_kcyx.mDesc.GetLengths()[2]; ++y)
             {
-                int hi = ho + y - h_pad_low;
+                int hi = ho * ConvStrides{}[0] + y * ConvDilations{}[0] - h_pad_low;
                 for(int x = 0; x < wei_kcyx.mDesc.GetLengths()[3]; ++x)
                 {
-                    int wi = wo + x - w_pad_low;
+                    int wi = wo * ConvStrides{}[1] + x * ConvDilations{}[1] - w_pad_low;
                     if(hi >= 0 && hi < in_nchw.mDesc.GetLengths()[2] && wi >= 0 &&
                        wi < in_nchw.mDesc.GetLengths()[3])
                     {
@@ -419,9 +427,9 @@ int main(int argc, char* argv[])
 
     constexpr index_t HPad = 0;
     constexpr index_t WPad = 0;
-#elif 1
+#elif 0
     // 3x3, 34x34
-    constexpr index_t N  = 64;
+    constexpr index_t N  = 128;
     constexpr index_t C  = 256;
     constexpr index_t HI = 34;
     constexpr index_t WI = 34;
@@ -429,6 +437,9 @@ int main(int argc, char* argv[])
     constexpr index_t Y  = 3;
     constexpr index_t X  = 3;
 
+    using ConvStrides   = Sequence<2, 2>;
+    using ConvDilations = Sequence<1, 1>;
+
     constexpr index_t HPad = 0;
     constexpr index_t WPad = 0;
 #elif 0
@@ -453,6 +464,9 @@ int main(int argc, char* argv[])
     constexpr index_t Y  = 3;
     constexpr index_t X  = 3;
 
+    using ConvStrides   = Sequence<2, 2>;
+    using ConvDilations = Sequence<1, 1>;
+
     constexpr index_t HPad = 0;
     constexpr index_t WPad = 0;
 #elif 0
@@ -583,7 +597,7 @@ int main(int argc, char* argv[])
     auto in_nchw_desc  = make_ConstantTensorDescriptor_packed(Sequence<N, C, HI, WI>{});
     auto wei_kcyx_desc = make_ConstantTensorDescriptor_packed(Sequence<K, C, Y, X>{});
     auto out_nkhw_desc = get_convolution_with_padding_output_default_4d_tensor_descriptor(
-        in_nchw_desc, wei_kcyx_desc, lower_pads, upper_pads);
+        in_nchw_desc, wei_kcyx_desc, ConvStrides{}, ConvDilations{}, lower_pads, upper_pads);
 
     ostream_ConstantTensorDescriptor(in_nchw_desc, std::cout << "in_nchw_desc: ");
     ostream_ConstantTensorDescriptor(wei_kcyx_desc, std::cout << "wei_kcyx_desc: ");
@@ -645,9 +659,17 @@ int main(int argc, char* argv[])
 #elif 1
     device_convolution_implicit_gemm_v4_nchw_kcyx_nkhw
 #endif
-    (in_nchw_desc, in_nchw, wei_kcyx_desc, wei_kcyx, out_nkhw_desc, out_nkhw_device, nrepeat);
+    (in_nchw_desc,
+     in_nchw,
+     wei_kcyx_desc,
+     wei_kcyx,
+     out_nkhw_desc,
+     out_nkhw_device,
+     ConvStrides{},
+     ConvDilations{},
+     nrepeat);
 
-#elif 1
+#elif 0
     device_implicit_gemm_convolution_1_chwn_cyxk_khwn_padded(in_nchw_desc,
                                                              in_nchw,
                                                              wei_kcyx_desc,
@@ -662,14 +684,21 @@ int main(int argc, char* argv[])
     if(do_verification)
     {
 #if 1
-        if(Y == 3 && X == 3)
+        if(Y == 3 && X == 3 && ConvStrides{}[0] == 1 && ConvStrides{}[1] == 1 &&
+           ConvDilations{}[0] == 1 && ConvDilations{}[1] == 1)
         {
             host_winograd_3x3_convolution(in_nchw, wei_kcyx, out_nkhw_host, lower_pads, upper_pads);
         }
         else
 #endif
         {
-            host_direct_convolution(in_nchw, wei_kcyx, out_nkhw_host, lower_pads, upper_pads);
+            host_direct_convolution(in_nchw,
+                                    wei_kcyx,
+                                    out_nkhw_host,
+                                    ConvStrides{},
+                                    ConvDilations{},
+                                    lower_pads,
+                                    upper_pads);
         }
         check_error(out_nkhw_host, out_nkhw_device);