add gemm padding to convnd

example/09_convnd_fwd/convnd_fwd_xdl_fp16.cpp

 // SPDX-License-Identifier: MIT
 // Copyright (c) 2018-2022, Advanced Micro Devices, Inc. All rights reserved.
 
-#define CK_EXPERIMENTAL_USE_BUFFER_LOAD_OOB_CHECK_OFFSET_TRICK 0
-
 #include "convnd_fwd_common.hpp"
 
 #include "ck/tensor_operation/gpu/device/device_convnd_fwd_nwc_kxc_nwk_xdl.hpp"
@@ -20,10 +18,10 @@ using InElementOp  = ck::tensor_operation::element_wise::PassThrough;
 using WeiElementOp = ck::tensor_operation::element_wise::PassThrough;
 using OutElementOp = ck::tensor_operation::element_wise::UnaryConvert;
 
+#if 0
 static constexpr auto ConvFwdDefault =
     ck::tensor_operation::device::ConvolutionForwardSpecialization::Default;
 
-#if 0
 template <ck::index_t NDimSpatial>
 using DeviceConvNDFwdInstance = ck::tensor_operation::device::DeviceConvNdFwdNwcKxcNwk_Xdl<
     NDimSpatial,    //
@@ -63,6 +61,11 @@ using DeviceConvNDFwdInstance = ck::tensor_operation::device::DeviceConvNdFwdNwc
 #else
 using CShuffleDataType = ck::half_t;
 
+static constexpr auto ConvSpec =
+    ck::tensor_operation::device::ConvolutionForwardSpecialization::Default;
+
+static constexpr auto GemmSpec = ck::tensor_operation::device::GemmSpecialization::MNKPadding;
+
 template <ck::index_t NDimSpatial>
 using DeviceConvNDFwdInstance =
     ck::tensor_operation::device::DeviceConvNdFwdMultipleD_NwcKxcNwk_Xdl_CShuffle<
@@ -76,7 +79,8 @@ using DeviceConvNDFwdInstance =
         InElementOp,      // Input Elementwise Operation
         WeiElementOp,     // Weights Elementwise Operation
         OutElementOp,     // Output Elementwise Operation
-        ConvFwdDefault,   // ConvForwardSpecialization
+        ConvSpec,         // ConvForwardSpecialization
+        GemmSpec,         // GemmSpecialization
         1,                //
         256,              // BlockSize
         128,              // MPerBlock