From 1e9ba65f263a15f1f9cf9b9484047ea51237187a Mon Sep 17 00:00:00 2001
From: Eric Kunze <eric.kunze@arm.com>
Date: Wed, 17 Feb 2021 19:23:39 -0800
Subject: Consistency cleanup

Attempt to get consistent across the pseudocode.
Change the data types to all be intN_t instead of some cases of intN.
Use float_t as the general floating point data type.
Be consistent on use of the term "floating-point"
Move general pseudocode helpers to their own section.

Change-Id: Ie77666cd3ee438c71f39c62b9c424fe687b0bb51
Signed-off-by: Eric Kunze <eric.kunze@arm.com>
---
 chapters/comparison.adoc | 54 ++++++++++++++++++++++++------------------------
 1 file changed, 27 insertions(+), 27 deletions(-)

(limited to 'chapters/comparison.adoc')

diff --git a/chapters/comparison.adoc b/chapters/comparison.adoc
index f9439fc..289196f 100644
--- a/chapters/comparison.adoc
+++ b/chapters/comparison.adoc
@@ -27,13 +27,13 @@ Elementwise comparison operation
 
 [source,c]
 ----
-for_each (index in shape) {
-    index1 = apply_broadcast(shape, shape1, index)
-    index2 = apply_broadcast(shape, shape2, index)
-    int32_t value1 = tensor_read<in_t>(input1, shape1, index1)
-    int32_t value2 = tensor_read<in_t>(input2, shape2, index2)
-    bool_t acc = (value1 == value2) ? True : False
-    tensor_write<out_t>(output, shape, index, acc)
+for_each(index in shape) {
+    index1 = apply_broadcast(shape, shape1, index);
+    index2 = apply_broadcast(shape, shape2, index);
+    int32_t value1 = tensor_read<in_t>(input1, shape1, index1);
+    int32_t value2 = tensor_read<in_t>(input2, shape2, index2);
+    bool_t acc = (value1 == value2) ? True : False;
+    tensor_write<out_t>(output, shape, index, acc);
 }
 ----
 
@@ -42,8 +42,8 @@ for_each (index in shape) {
 |===
 |Profile|Mode|in_t|out_t
 
-|Any|signed 32|int32|bool
-|MI, MT|float|float|bool
+|Any|signed 32|int32_t|bool_t
+|MI, MT|floating-point|float_t|bool_t
 |===
 
 ==== GREATER
@@ -63,13 +63,13 @@ Elementwise greater than comparison operation
 
 [source,c]
 ----
-for_each (index in shape) {
-    index1 = apply_broadcast(shape, shape1, index)
-    index2 = apply_broadcast(shape, shape2, index)
-    int32_t value1 = tensor_read<in_t>(input1, shape1, index1)
-    int32_t value2 = tensor_read<in_t>(input2, shape2, index2)
-    bool_t acc = (value1 > value2) ? True : False
-    tensor_write<out_t>(output, shape, index, acc)
+for_each(index in shape) {
+    index1 = apply_broadcast(shape, shape1, index);
+    index2 = apply_broadcast(shape, shape2, index);
+    int32_t value1 = tensor_read<in_t>(input1, shape1, index1);
+    int32_t value2 = tensor_read<in_t>(input2, shape2, index2);
+    bool_t acc = (value1 > value2) ? True : False;
+    tensor_write<out_t>(output, shape, index, acc);
 }
 ----
 
@@ -77,8 +77,8 @@ for_each (index in shape) {
 |===
 |Profile|Mode|in_t|out_t
 
-|Any|signed 32|int32|bool
-|MI, MT|float|float|bool
+|Any|signed 32|int32_t|bool_t
+|MI, MT|floating-point|float_t|bool_t
 |===
 
 ==== GREATER_EQUAL
@@ -99,13 +99,13 @@ Elementwise comparison operation
 
 [source,c]
 ----
-for_each (index in shape) {
-    index1 = apply_broadcast(shape, shape1, index)
-    index2 = apply_broadcast(shape, shape2, index)
-    int32_t value1 = tensor_read<in_t>(input1, shape1, index1)
-    int32_t value2 = tensor_read<in_t>(input2, shape2, index2)
-    bool_t acc = (value1 >= value2) ? True : False
-    tensor_write<out_t>(output, shape, index, acc)
+for_each(index in shape) {
+    index1 = apply_broadcast(shape, shape1, index);
+    index2 = apply_broadcast(shape, shape2, index);
+    int32_t value1 = tensor_read<in_t>(input1, shape1, index1);
+    int32_t value2 = tensor_read<in_t>(input2, shape2, index2);
+    bool_t acc = (value1 >= value2) ? True : False;
+    tensor_write<out_t>(output, shape, index, acc);
 }
 ----
 
@@ -114,6 +114,6 @@ for_each (index in shape) {
 |===
 |Profile|Mode|in_t|out_t
 
-|Any|signed 32|int32|bool
-|MI, MT|float|float|bool
+|Any|signed 32|int32_t|bool_t
+|MI, MT|floating-point|float_t|bool_t
 |===
-- 
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