From c0b6f76561580414f08633a804fc548ccad65659 Mon Sep 17 00:00:00 2001
From: Georgios Pinitas <georgios.pinitas@arm.com>
Date: Mon, 2 Nov 2020 01:37:17 +0000
Subject: COMPMID-3776: Indirect GEMM

Signed-off-by: Georgios Pinitas <georgios.pinitas@arm.com>
Change-Id: I51a1b0f098bc3a8c408c50c92221e4df3061e12c
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/4343
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Sang-Hoon Park <sang-hoon.park@arm.com>
Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
---
 .../NEON/kernels/arm_gemm/std_transforms_fixed.hpp   | 20 +++++++++++++++++---
 1 file changed, 17 insertions(+), 3 deletions(-)

(limited to 'src/core/NEON/kernels/arm_gemm/std_transforms_fixed.hpp')

diff --git a/src/core/NEON/kernels/arm_gemm/std_transforms_fixed.hpp b/src/core/NEON/kernels/arm_gemm/std_transforms_fixed.hpp
index 1d3aee7911..4669be9993 100644
--- a/src/core/NEON/kernels/arm_gemm/std_transforms_fixed.hpp
+++ b/src/core/NEON/kernels/arm_gemm/std_transforms_fixed.hpp
@@ -23,8 +23,10 @@
  */
 #pragma once
 
+#include "convolver.hpp"
 #include "mergeresults.hpp"
 #include "transform.hpp"
+#include "interleave_indirect.hpp"
 
 namespace arm_gemm {
 
@@ -39,14 +41,26 @@ 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, unsigned int block=1>
+template<typename TOperand, typename TResult, unsigned int height, unsigned int width, unsigned int block=1, bool integrate_sums=false>
 class StdTransformsFixed
 {
 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) const {
-        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) const {
+        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);
     }
 
     template<typename TIn>
-- 
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