diff options
Diffstat (limited to 'chapters/data_layout.adoc')
| -rw-r--r-- | chapters/data_layout.adoc | 19 |
1 files changed, 9 insertions, 10 deletions
diff --git a/chapters/data_layout.adoc b/chapters/data_layout.adoc index 205ccaf..54221f6 100644 --- a/chapters/data_layout.adoc +++ b/chapters/data_layout.adoc @@ -68,6 +68,7 @@ for_each(index1 in shape) { Pads a tensor along the borders of each dimension with a supplied value. Returns a new tensor with the padding included. +The pad_const value includes the zero point if the tensor uses a zero point. *Arguments:* @@ -77,7 +78,6 @@ Returns a new tensor with the padding included. |Input|in_t*|input1|shape1|Input tensor |Attribute|int|padding|[rank(input1),2]|Amount of padding to be done |Attribute|in_t|pad_const|-|Constant value to be used as padding -|Attribute|in_t|input1_zp|-|Input tensor zero point. Must be zero for non-int8 types. |Output|in_t*|output|shape|Output tensor of same type as the input tensor |=== @@ -85,7 +85,6 @@ Returns a new tensor with the padding included. [source,c++] ---- -ERROR_IF(in_t != int8_t && input1_zp != 0); // Zero point only allowed for int8_t // Padding sizes must be >= 0. for_each(pad_size in padding) { ERROR_IF(pad_size < 0); @@ -99,21 +98,21 @@ for_each(index in shape) { is_pad = true; } } - acc_t value = is_pad ? pad_const : tensor_read<in_t>(input1, shape1, index1, input1_zp); - tensor_write<in_t>(output, shape, index, value + input1_zp); + in_t value = is_pad ? pad_const : tensor_read<in_t>(input1, shape1, index1); + tensor_write<in_t>(output, shape, index, value); } ---- *Supported Data Types:* |=== -|Profile|Mode|in_t|acc_t +|Profile|Mode|in_t -|Any|Boolean|bool_t|bool_t -|Any|signed 8|int8_t|int16_t -|Any|signed 16|int16_t|int16_t -|Any|signed 32|int32_t|int32_t -|MI, MT|floating-point|float_t|float_t +|Any|Boolean|bool_t +|Any|signed 8|int8_t +|Any|signed 16|int16_t +|Any|signed 32|int32_t +|MI, MT|floating-point|float_t |=== ==== RESHAPE |