diff options
| author | Eric Kunze <eric.kunze@arm.com> | 2021-03-08 16:17:26 -0800 |
|---|---|---|
| committer | Eric Kunze <eric.kunze@arm.com> | 2021-03-11 10:20:06 -0800 |
| commit | 8e4a9d33f0527107fda724fc0f7b6b7c1f42bf79 (patch) | |
| tree | bdb67b880fcae88f08cf45c27fdd5e572df007d4 /chapters/activation_funcs.adoc | |
| parent | 1e9ba65f263a15f1f9cf9b9484047ea51237187a (diff) | |
| download | specification-8e4a9d33f0527107fda724fc0f7b6b7c1f42bf79.tar.gz | |
Adjust pseudocode types to account for zero point
When reading tensor values with zero point, the returned value
has one more bit than the original to account for zero point.
Update cases of apply_clip to properly represent the types
involved.
Change-Id: I60c17b1b244c34b4f04f042807936ae0f282ce93
Diffstat (limited to 'chapters/activation_funcs.adoc')
| -rw-r--r-- | chapters/activation_funcs.adoc | 16 |
1 files changed, 8 insertions, 8 deletions
diff --git a/chapters/activation_funcs.adoc b/chapters/activation_funcs.adoc index 5af849d..7a4a7b6 100644 --- a/chapters/activation_funcs.adoc +++ b/chapters/activation_funcs.adoc @@ -27,8 +27,8 @@ Clamp to an arbitrary minimum and maximum value. Note that the maximum and minim *Operation Function:* .... for_each(index in shape) { - value = tensor_read<in_t>(input, shape, index); - acc = apply_clip<in_t>(value, min_val, max_val); + acc_t value = tensor_read<in_t>(input, shape, index); + acc = (in_t)apply_clip<acc_t>(value, min_val, max_val); tensor_write<in_t>(output, shape, index, acc); } .... @@ -36,11 +36,11 @@ for_each(index in shape) { *Supported Data Types:* |=== -|Profile|Mode|in_t +|Profile|Mode|in_t|acc_t -|Any|signed 8|int8_t -|Any|signed 16|int16_t -|MI, MT|floating-point|float_t +|Any|signed 8|int8_t|int16_t +|Any|signed 16|int16_t|int16_t +|MI, MT|floating-point|float_t|float_t |=== ==== RELUN @@ -63,8 +63,8 @@ ReLU with a scalar maximum value. ---- for_each(index in shape) { in_t value = tensor_read<in_t>(input, shape, index); - acc = apply_clip<in_t>(value, 0, max_val); - tensor_write<in_t>(output, shape, index, acc); + value = apply_clip<in_t>(value, 0, max_val); + tensor_write<in_t>(output, shape, index, value); } ---- |