From 298a029348e07903b1f78eb9994230fa205e869e Mon Sep 17 00:00:00 2001
From: Dominic Symes <dominic.symes@arm.com>
Date: Thu, 22 Oct 2020 15:36:24 +0100
Subject: Make rank() consistent across files

Complete the function naming change from
dimensions() to rank(). Fix MATMUL to
use apply_add() for additions, consistent
with the other operations.

Signed-off-by: Dominic Symes <dominic.symes@arm.com>
Change-Id: I6ba84cf8b016505e8477b04dd00f2a2bf3194492
---
 chapters/tensor_ops.adoc | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

(limited to 'chapters/tensor_ops.adoc')

diff --git a/chapters/tensor_ops.adoc b/chapters/tensor_ops.adoc
index 2ea4ba8..b8e053c 100644
--- a/chapters/tensor_ops.adoc
+++ b/chapters/tensor_ops.adoc
@@ -387,13 +387,13 @@ Performs a two dimensional matrix multiplication. This allows both inputs to be
 
 [source,c]
 ----
-assert(in_t==aint8_t || (A_zp==0 && B_zp==0) // Zero point only for asymmetric int8
+assert(in_t==aint8_t || (A_zp==0 && B_zp==0)) // Zero point only for asymmetric int8
 for_each (0<=m<M, 0<=n<N) {
     acc_t acc = 0
     for_each (0<=k<K) {
         value1 = tensor_read<in_t>(A, [M,K], [m,k], A_zp)
         value2 = tensor_read<in_t>(B, [K,N], [k,n], B_zp)
-        acc = acc + value1 * value2
+        acc = apply_add<acc_t>(acc, value1 * value2)
     }
     tensor_write<acc_t>(C, [M,N], [m,n], acc)
 }
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