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-rw-r--r--chapters/data_layout.adoc11
1 files changed, 5 insertions, 6 deletions
diff --git a/chapters/data_layout.adoc b/chapters/data_layout.adoc
index 8f318ae..3a7c3c3 100644
--- a/chapters/data_layout.adoc
+++ b/chapters/data_layout.adoc
@@ -135,7 +135,7 @@ for (i=0; i<tensor_size(shape); i++) {
==== REVERSE
-Returns a tensor with the same type/values as the input, with the data reversed along the given axes. No data conversion happens during a reverse operation.
+Returns a tensor with the same type/values as the input, with the data reversed along the given axis. No data conversion happens during a reverse operation.
*Arguments:*
@@ -143,19 +143,18 @@ Returns a tensor with the same type/values as the input, with the data reversed
|Argument|Type|Name|Shape|Description
|Input|in_t*|input|shape|Input tensor from 1 to 4 dims
-|Attribute|int|axes|[]|List of axes along which to reverse with size from 1 to rank(input1). Values are integers into the 0-based dimensions of the input tensor. An empty list is not allowed.
-|Output|out_t*|output|shape|Output tensor of same type, size as the input tensor
+|Attribute|int|axis|-|Axis to reverse
+|Output|out_t*|output|shape|Output tensor. Same shape as input tensor.
|===
*Operation Function:*
[source,c]
----
+assert(0<=axis && axis<dimensions(shape))
for_each (index in shape) {
tmp_index = index;
- for_each (axis in axes[]) {
- tmp_index[axis] = shape[axis]-1-index[axis]
- }
+ tmp_index[axis] = shape[axis]-1-index[axis];
value = tensor_read<in_t>(input, shape, tmp_index);
tensor_write<in_t>(output, shape, index, value);
}