1 files changed, 23 insertions, 13 deletions
diff --git a/src/core/NEON/kernels/arm_gemm/std_transforms_sve.hpp b/src/core/NEON/kernels/arm_gemm/std_transforms_sve.hpp
index 6b64e5e36c..c516bfc456 100644
--- a/src/core/NEON/kernels/arm_gemm/std_transforms_sve.hpp
+++ b/src/core/NEON/kernels/arm_gemm/std_transforms_sve.hpp
@@ -1,5 +1,5 @@
 /*
- * Copyright (c) 2017-2018 ARM Limited.
+ * Copyright (c) 2017-2018,2023-2024 Arm Limited.
  *
  * SPDX-License-Identifier: MIT
  *
@@ -23,6 +23,7 @@
  */
 #pragma once
 
+#include "convolver.hpp"
 #include "mergeresults.hpp"
 #include "transform.hpp"
 
@@ -38,28 +39,37 @@ namespace arm_gemm {
  * The optional 'block' parameter is for kernels using dot-product type
  * instructions like UDOT and SDOT.
  */
-template<typename TOperand, typename TResult, unsigned int height, unsigned int width_vectors, unsigned int block=1, unsigned int mmla=1>
+template<typename TOperand, typename TResult, unsigned int height, unsigned int width_vectors, unsigned int block=1, unsigned int mmla=1, bool integrate_sums=false>
 class StdTransformsSVE
 {
 public:
     template<typename TIn>
     void PrepareA(TOperand *out, const TIn *in, const int stride, const int y0,
-                  const int ymax, const int k0, const int kmax, bool transposed) {
-        if (transposed) {
-            Transform<height, block,  true>(out, in, stride, y0, ymax, k0, kmax);
-        } else {
-            Transform<height, block, false>(out, in, stride, y0, ymax, k0, kmax);
-        }
+                  const int ymax, const int k0, const int kmax, int32_t row_sum_multiplier) {
+        Interleave<height, block, VLType::None>(out, in, stride, y0, ymax, k0, kmax, integrate_sums, row_sum_multiplier);
+    }
+
+    template<typename TIn>
+    void PrepareA_indirect(TOperand *out, const TIn * const * const *ptr, size_t stringlen, size_t rounded_stringlen, const int y0,
+                           const int ymax, const int k0, const int kmax, int32_t row_sum_multiplier) {
+        IndirectInterleave<height, block, VLType::None>(out, ptr, stringlen, rounded_stringlen, y0, ymax, k0, kmax, integrate_sums, row_sum_multiplier);
+    }
+
+    template<typename TIn>
+    void PrepareA_convolution(TOperand *out, const TIn *ptr, size_t stride, const convolver<TIn> &conv, size_t rounded_stringlen,
+                              const int y0, const int ymax, const int k0, const int kmax, int32_t row_sum_multiplier) {
+        ConvolutionInterleave<height, block, VLType::None>(out, ptr, stride, conv, rounded_stringlen, y0, ymax, k0, kmax, integrate_sums, row_sum_multiplier);
+    }
+
+    bool PrepareB_supports_transpose() const {
+        return false;
     }
 
     template<typename TIn>
     void PrepareB(TOperand *out, const TIn *in, const int stride, const int x0,
                   const int xmax, const int k0, const int kmax, bool transposed) {
-        if (transposed) {
-            Transform<width_vectors, block, false, true>(out, in, stride, x0, xmax, k0, kmax);
-        } else {
-            Transform<width_vectors, block,  true, true>(out, in, stride, x0, xmax, k0, kmax);
-        }
+        assert (!transposed);
+        Transform<width_vectors, block,  true, VLType::SVE>(out, in, stride, x0, xmax, k0, kmax);
     }
 
     template<typename TOut>