Fix ordering of operators

REDUCE_ANY/ALL
PLACEHOLDER/IDENTITY*

Signed-off-by: Eric Kunze <eric.kunze@arm.com>
Change-Id: I3436a91b8137fa4fce9b8c2027cd669cfbdcd539

2 files changed, 32 insertions, 32 deletions

diff --git a/chapters/data_nodes.adoc b/chapters/data_nodes.adoc
index a7886ff..ba38ef9 100644
--- a/chapters/data_nodes.adoc
+++ b/chapters/data_nodes.adoc
@@ -33,30 +33,6 @@ A node containing constant data for use as the input to an operation. May hold d
 |MI, MT|float|float
 |===
 
-==== PLACEHOLDER
-
-A node where data will be inserted into the network at runtime. Generally used for inputs to the network.
-
-*Arguments:*
-|===
-|Argument|Type|Name|Shape|Description
-
-|Output|out_t*|output|shape|Output tensor of same type, size as the input tensor
-|===
-
-*Supported Data Types:*
-
-|===
-|Profile|Mode|out_t
-
-|Any|Boolean|bool
-|Any|unsigned 8|uint8
-|Any|signed 8|int8/aint8
-|Any|signed 16|int16
-|Any|signed 32|int32
-|MI, MT|float|float
-|===
-
 ==== IDENTITY
 
 Returns a tensor with the same shape, type, and contents as the input.
@@ -106,3 +82,27 @@ Returns a list of tensors with the same shape, type, and contents as the input l
 |Any|signed 32|int32|int32
 |MI, MT|float|float|float
 |===
+
+==== PLACEHOLDER
+
+A node where data will be inserted into the network at runtime. Generally used for inputs to the network.
+
+*Arguments:*
+|===
+|Argument|Type|Name|Shape|Description
+
+|Output|out_t*|output|shape|Output tensor of same type, size as the input tensor
+|===
+
+*Supported Data Types:*
+
+|===
+|Profile|Mode|out_t
+
+|Any|Boolean|bool
+|Any|unsigned 8|uint8
+|Any|signed 8|int8/aint8
+|Any|signed 16|int16
+|Any|signed 32|int32
+|MI, MT|float|float
+|===
diff --git a/chapters/reduction.adoc b/chapters/reduction.adoc
index bef68a3..a9687b1 100644
--- a/chapters/reduction.adoc
+++ b/chapters/reduction.adoc
@@ -9,9 +9,9 @@
 
 === Reduction Operators
 
-==== REDUCE_ANY
+==== REDUCE_ALL
 
-Reduce a tensor along the given axes with a logical OR operation
+Reduce a tensor along the given axes with a logical AND operation
 
 *Arguments:*
 
@@ -34,7 +34,7 @@ for_each (axis in axes[]) {
 }
 if (keep_dims) assert(tmp_shape == out_shape)
 for_each (index in tmp_shape) {
-    tensor_write<in_t>(output, tmp_shape, index, false)
+    tensor_write<in_t>(output, tmp_shape, index, true)
 }
 for_each (index in in_shape) {
     tmp_index = index;
@@ -43,7 +43,7 @@ for_each (index in in_shape) {
     }
     value = tensor_read<in_t>(input, in_shape, index)
     acc   = tensor_read<in_t>(output, tmp_shape, tmp_index)
-    acc   = acc || value
+    acc   = acc && value
     tensor_write<in_t>(output, tmp_shape, tmp_index, acc)
 }
 ----
@@ -56,9 +56,9 @@ for_each (index in in_shape) {
 |Any|Boolean|bool|bool
 |===
 
-==== REDUCE_ALL
+==== REDUCE_ANY
 
-Reduce a tensor along the given axes with a logical AND operation
+Reduce a tensor along the given axes with a logical OR operation
 
 *Arguments:*
 
@@ -81,7 +81,7 @@ for_each (axis in axes[]) {
 }
 if (keep_dims) assert(tmp_shape == out_shape)
 for_each (index in tmp_shape) {
-    tensor_write<in_t>(output, tmp_shape, index, true)
+    tensor_write<in_t>(output, tmp_shape, index, false)
 }
 for_each (index in in_shape) {
     tmp_index = index;
@@ -90,7 +90,7 @@ for_each (index in in_shape) {
     }
     value = tensor_read<in_t>(input, in_shape, index)
     acc   = tensor_read<in_t>(output, tmp_shape, tmp_index)
-    acc   = acc && value
+    acc   = acc || value
     tensor_write<in_t>(output, tmp_shape, tmp_index, acc)
 }
 ----