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authorEric Kunze <eric.kunze@arm.com>2020-10-30 14:26:40 -0700
committerEric Kunze <eric.kunze@arm.com>2020-11-03 11:21:27 -0800
commitb0b4bf083b9e73e8f3e96a02a612fac53d3ad651 (patch)
tree9b0b10239f1193598a427d55b9bfd47bae8a1611 /chapters/type_conversion.adoc
parent408f7c1a2986896bb1c7b2c6515f0dbe079d05c9 (diff)
downloadspecification-b0b4bf083b9e73e8f3e96a02a612fac53d3ad651.tar.gz
Change weights to input for training profile
Weights remain as an attribute for inference profile devices. Change-Id: I1cdbbd2ccd95fc1b7afc0f05a1425fb53560b432 Signed-off-by: Eric Kunze <eric.kunze@arm.com>
Diffstat (limited to 'chapters/type_conversion.adoc')
-rw-r--r--chapters/type_conversion.adoc6
1 files changed, 3 insertions, 3 deletions
diff --git a/chapters/type_conversion.adoc b/chapters/type_conversion.adoc
index 6d3bcd8..2689818 100644
--- a/chapters/type_conversion.adoc
+++ b/chapters/type_conversion.adoc
@@ -91,9 +91,9 @@ Rescale quantized values into a new domain. This function scales by factor: mult
|Attribute|in_t|input_zp|-|Input tensor zero point
|Attribute|out_t|output_zp|-|Output tensor zero point
-|Attribute|mul_t|multiplier[NC]|-|Scaling multiplier array
-|Attribute|uint6_t|shift[NC] |-|Scaling shift array
-|Attribute|bool|scale32|-|if (scale32) mul_t=int32_t else mul_t=int16_t
+|Input (MT profile) Attribute (BI/MI profiles)|mul_t|multiplier[NC]|-|Scaling multiplier array
+|Input (MT profile) Attribute (BI/MI profiles)|uint6_t|shift[NC] |-|Scaling shift array
+|Input (MT profile) Attribute (BI/MI profiles)|bool|scale32|-|if (scale32) mul_t=int32_t else mul_t=int16_t
|Attribute|bool|double_round|-|Select double round mode
|Attribute|bool|per_channel|-|if (per_channel) NC=shape[dims-1] else NC=1
|===