diff options
author | Eric Kunze <eric.kunze@arm.com> | 2024-01-12 17:18:42 -0800 |
---|---|---|
committer | Eric Kunze <eric.kunze@arm.com> | 2024-01-31 06:00:03 +0000 |
commit | 526f6c7b5d20e967109ca92c8fc54c26c0438135 (patch) | |
tree | 7186a2dec336db8389cdf0cf8bacd60f9da4cf64 /pseudocode/operators/ADD.tosac | |
parent | 7e5d187c612fcc715ea3f7f0c900eb13af75a660 (diff) | |
download | specification-526f6c7b5d20e967109ca92c8fc54c26c0438135.tar.gz |
Add section of shape operatorsv0.90.0
Rework of the shape operations. Shape operations are now done in shape specific
operators rather than being based on type.
shape_t is reworked to a list of size_t values.
Signed-off-by: Eric Kunze <eric.kunze@arm.com>
Change-Id: I2fca0728f9caa6a6fc34a8ce9e389bb581eea959
Diffstat (limited to 'pseudocode/operators/ADD.tosac')
-rw-r--r-- | pseudocode/operators/ADD.tosac | 24 |
1 files changed, 8 insertions, 16 deletions
diff --git a/pseudocode/operators/ADD.tosac b/pseudocode/operators/ADD.tosac index 61db3f6..82379e9 100644 --- a/pseudocode/operators/ADD.tosac +++ b/pseudocode/operators/ADD.tosac @@ -7,20 +7,12 @@ // copies and copies may only be made to the extent permitted // by a licensing agreement from ARM Limited. -if (in_out_t == shape_t) { - ERROR_IF(rank(shape) != 0 || rank(shape1) != 0 || rank(shape2) != 0); - shape_t value1 = tensor_read<shape_t>(input1, [], []); - shape_t value2 = tensor_read<shape_t>(input2, [], []); - shape_t result = apply_add_s<shape_t>(value1, value2); - tensor_write<shape_t>(output, [], [], result); -} else { - ERROR_IF(shape != broadcast_shape(shape1, shape2)); - for_each(index in shape) { - dim_t index1 = apply_broadcast(shape, shape1, index); - dim_t index2 = apply_broadcast(shape, shape2, index); - in_out_t value1 = tensor_read<in_out_t>(input1, shape1, index1); - in_out_t value2 = tensor_read<in_out_t>(input2, shape2, index2); - in_out_t result = apply_add_s<in_out_t>(value1, value2); - tensor_write<in_out_t>(output, shape, index, result); - } +ERROR_IF(shape != broadcast_shape(shape1, shape2)); +for_each(index in shape) { + shape_t index1 = apply_broadcast(shape, shape1, index); + shape_t index2 = apply_broadcast(shape, shape2, index); + in_out_t value1 = tensor_read<in_out_t>(input1, shape1, index1); + in_out_t value2 = tensor_read<in_out_t>(input2, shape2, index2); + in_out_t result = apply_add_s<in_out_t>(value1, value2); + tensor_write<in_out_t>(output, shape, index, result); } |