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>

3 files changed, 12 insertions, 12 deletions

diff --git a/chapters/ewise_binary.adoc b/chapters/ewise_binary.adoc
index 7292962..a9787b3 100644
--- a/chapters/ewise_binary.adoc
+++ b/chapters/ewise_binary.adoc
@@ -479,7 +479,7 @@ Elementwise multiplication (Hadamard product) of input tensor 0 and input tensor
 
 |Input|in_t*|input1|shape1|Input tensor
 |Input|in_t*|input2|shape2|Input tensor with the same rank as Input 0
-|Attribute|uint6_t|shift|-|Result right shift (int32 data type only)
+|Input (MT profile) Attribute (BI/MI profiles)|uint6_t|shift|-|Result right shift (int32 data type only)
 |Output|out_t*|output|shape|Output tensor with broadcast shape if necessary
 |===
 
diff --git a/chapters/tensor_ops.adoc b/chapters/tensor_ops.adoc
index b8e053c..9bb6496 100644
--- a/chapters/tensor_ops.adoc
+++ b/chapters/tensor_ops.adoc
@@ -132,8 +132,8 @@ Performs a 2D convolution over the given tensor input, using the weight tensor.
 |Argument|Type|Name|Shape|Description
 
 |Input|in_t*|input|[N,IH,IW,IC]|Input tensor
-|Attribute|weight_t*|weight|[OC,KH,KW,IC]|Weight kernel size KH x KW
-|Attribute|acc_t*|bias|[OC]|Per output channel bias data.
+|Input (MT profile) Attribute (BI/MI profiles)|weight_t*|weight|[OC,KH,KW,IC]|Weight kernel size KH x KW
+|Input (MT profile) Attribute (BI/MI profiles)|acc_t*|bias|[OC]|Per output channel bias data.
 |Attribute|int*|pad|[4]|[pad_top, pad_bottom, pad_left, pad_right]
 |Attribute|int*|stride|[2]|[stride_y, stride_x]
 |Attribute|int*|dilation|[2]|[dilation_y, dilation_x]
@@ -193,8 +193,8 @@ Performs a 3D convolution over the given input tensor.
 |Argument|Type|Name|Shape|Description
 
 |Input|in_t*|input|[N,ID,IH,IW,IC]|Input tensor
-|Attribute|weight_t*|weight|[OC,KD,KH,KW,IC]|Weight kernel size KDxKHxKW
-|Attribute|acc_t*|bias|[OC]|Per output channel bias data.
+|Input (MT profile) Attribute (BI/MI profiles)|weight_t*|weight|[OC,KD,KH,KW,IC]|Weight kernel size KDxKHxKW
+|Input (MT profile) Attribute (BI/MI profiles)|acc_t*|bias|[OC]|Per output channel bias data.
 |Attribute|int*|pad|[6]|[pad_d0, pad_d1, pad_top, pad_bottom, pad_left, pad_right]
 |Attribute|int*|stride|[3]|[stride_d, stride_y, stride_x]
 |Attribute|int*|dilation|[3]|[dilation_d, dilation_y, dilation_x]
@@ -257,8 +257,8 @@ Performs 2D convolutions separately over each channel of the given tensor input,
 |Argument|Type|Name|Shape|Description
 
 |Input|in_t*|input|[N,H,W,C]|Input tensor
-|Attribute|weight_t*|weight|[KH,KW,C,M]|Weight kernel size KH x KW
-|Attribute|acc_t*|bias|[C*M]|Per output channel bias data.
+|Input (MT profile) Attribute (BI/MI profiles)|weight_t*|weight|[KH,KW,C,M]|Weight kernel size KH x KW
+|Input (MT profile) Attribute (BI/MI profiles)|acc_t*|bias|[C*M]|Per output channel bias data.
 |Attribute|int*|pad|[4]|[pad_top, pad_bottom, pad_left, pad_right]
 |Attribute|int*|stride|[2]|[stride_y, stride_x]
 |Attribute|int*|dilation|[2]|[dilation_y, dilation_x]
@@ -467,8 +467,8 @@ Performs a 2D transposed convolution over the given tensor input, using the weig
 |Argument|Type|Name|Shape|Description
 
 |Input|in_t*|input|[N,IH,IW,IC]|Input tensor
-|Attribute|weight_t*|weight|[OC,KH,KW,IC]|Weight kernel size KH x KW
-|Attribute|acc_t*|bias|[OC]|Per output channel bias data.
+|Input (MT profile) Attribute (BI/MI profiles)|weight_t*|weight|[OC,KH,KW,IC]|Weight kernel size KH x KW
+|Input (MT profile) Attribute (BI/MI profiles)|acc_t*|bias|[OC]|Per output channel bias data.
 |Attribute|int*|outpad|[2]|[outpad_top, outpad_left]
 |Attribute|int*|stride|[2]|[stride_y, stride_x]
 |Attribute|int*|dilation|[2]|[dilation_y, dilation_x]
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
 |===