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-rw-r--r--chapters/ewise_ternary.adoc16
1 files changed, 8 insertions, 8 deletions
diff --git a/chapters/ewise_ternary.adoc b/chapters/ewise_ternary.adoc
index 751c093..e61e1c2 100644
--- a/chapters/ewise_ternary.adoc
+++ b/chapters/ewise_ternary.adoc
@@ -19,9 +19,9 @@ Elementwise select of the output based on a condition.
|Argument|Type|Name|Shape|Description
|Input|cmp_t|input1|shape1|Input selector tensor
-|Input|in_t*|input2|shape2|Input value tensor if input1 is True
-|Input|in_t*|input3|shape3|Input value tensor if input1 is False
-|Output|in_t*|output|shape|Output tensor of same type as input2 and input3, with broadcast shape if necessary
+|Input|in_out_t*|input2|shape2|Input value tensor if input1 is True
+|Input|in_out_t*|input3|shape3|Input value tensor if input1 is False
+|Output|in_out_t*|output|shape|Output tensor of same type as input2 and input3, with broadcast shape if necessary
|===
*Operation Function:*
@@ -33,21 +33,21 @@ for_each(index in shape) {
index2 = apply_broadcast(shape, shape2, index);
index3 = apply_broadcast(shape, shape3, index);
cmp_t value1 = tensor_read<cmp_t>(input1, shape1, index1);
- in_t value2 = tensor_read<in_t>(input2, shape2, index2);
- in_t value3 = tensor_read<in_t>(input3, shape3, index3);
- in_t result;
+ in_out_t value2 = tensor_read<in_out_t>(input2, shape2, index2);
+ in_out_t value3 = tensor_read<in_out_t>(input3, shape3, index3);
+ in_out_t result;
if (value1) {
result = value2;
} else {
result = value3;
}
- tensor_write<in_t>(output, shape, index, result);
+ tensor_write<in_out_t>(output, shape, index, result);
}
----
*Supported Data Types:*
|===
-|Profile|Mode|cmp_t|in_t
+|Profile|Mode|cmp_t|in_out_t
|Any|Boolean|bool_t|bool_t
|Any|signed 8|bool_t|int8_t