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author | Kevin Petit <kevin.petit@arm.com> | 2023-03-17 17:12:30 +0000 |
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committer | Eric Kunze <eric.kunze@arm.com> | 2023-03-17 19:09:09 +0000 |
commit | 18548921437ef60e5553a75517449918e5c42b1d (patch) | |
tree | be03097745e85b17948a3319a5fadfb6176bbf4d /chapters | |
parent | 6305460ee2a08bc48feae7fa46f025d87057d8f0 (diff) | |
download | specification-18548921437ef60e5553a75517449918e5c42b1d.tar.gz |
SCATTER/GATHER: Replace value_t with in_out_t
Most operators use in_out_t. This removes a special case.
Signed-off-by: Kevin Petit <kevin.petit@arm.com>
Change-Id: Icfc86f1101d250700677959949bda466519152de
Diffstat (limited to 'chapters')
-rw-r--r-- | chapters/scatter_gather.adoc | 12 |
1 files changed, 6 insertions, 6 deletions
diff --git a/chapters/scatter_gather.adoc b/chapters/scatter_gather.adoc index 89942f2..1dbda4f 100644 --- a/chapters/scatter_gather.adoc +++ b/chapters/scatter_gather.adoc @@ -21,8 +21,8 @@ include::{generated}/operators/GATHER.adoc[] for_each(0 <= n < N, 0 <= w < W, 0 <= c < C) { index_t k = tensor_read<index_t>(indices, [N,W], [n,w]); REQUIRE(0 <= k && k < K); - value_t value = tensor_read<value_t>(values, [N,K,C], [n,k,c]); - tensor_write<value_t>(output, [N,W,C], [n,w,c], value); + in_out_t value = tensor_read<in_out_t>(values, [N,K,C], [n,k,c]); + tensor_write<in_out_t>(output, [N,W,C], [n,w,c], value); } ---- @@ -45,8 +45,8 @@ bool_t output_modified[N,K,C]; // Copy the values_in tensor to the values_out tensor. // Values not written by the scatter operation are unchanged in the output. for_each(0 <= n < N, 0 <= k < K, 0 <= c < C) { - value_t value = tensor_read<value_t>(values_in, [N,K,C], [n,k,c]); - tensor_write<value_t>(values_out, [N,K,C], [n, k, c], value); + in_out_t value = tensor_read<in_out_t>(values_in, [N,K,C], [n,k,c]); + tensor_write<in_out_t>(values_out, [N,K,C], [n, k, c], value); output_modified[n,k,c]=false; } @@ -55,8 +55,8 @@ for_each(0 <= n < N, 0 <= w < W, 0 <= c < C) { index_t k = tensor_read<index_t>(indices, [N,W], [n,w]); REQUIRE(0 <= k && k < K); REQUIRE(output_modified[n,k,c] == false); - value_t value = tensor_read<value_t>(input, [N,W,C], [n,w,c]); - tensor_write<value_t>(values_out, [N,K,C], [n, k, c], value); + in_out_t value = tensor_read<in_out_t>(input, [N,W,C], [n,w,c]); + tensor_write<in_out_t>(values_out, [N,K,C], [n, k, c], value); output_modified[n,k,c] = true; } ---- |