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authorGeorge Wort <george.wort@arm.com>2019-02-22 16:37:41 +0000
committerGiuseppe Rossini <giuseppe.rossini@arm.com>2019-03-15 13:34:00 +0000
commit2d7e683e79c8ad328d4930c1f82a46827313faf4 (patch)
treeeb81f928ecd2543ef80af87f65d1bdef5a78ea2a /arm_compute/core/CL
parent3814b30623d6a9e570d850fe5ae275fe2117f3f5 (diff)
downloadComputeLibrary-2d7e683e79c8ad328d4930c1f82a46827313faf4.tar.gz
COMPMID-1694: Fuse offset contribution with the output stage when we use NEGEMMLowpMatrixMultiplyCore
Change-Id: Ic1a681e4cc03e1eba3bf8485d9cdb17b3e926047 Signed-off-by: giuros01 <giuseppe.rossini@arm.com> Reviewed-on: https://review.mlplatform.org/c/561 Reviewed-by: Gian Marco Iodice <gianmarco.iodice@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com>
Diffstat (limited to 'arm_compute/core/CL')
-rw-r--r--arm_compute/core/CL/kernels/CLGEMMLowpOffsetContributionKernel.h4
1 files changed, 2 insertions, 2 deletions
diff --git a/arm_compute/core/CL/kernels/CLGEMMLowpOffsetContributionKernel.h b/arm_compute/core/CL/kernels/CLGEMMLowpOffsetContributionKernel.h
index e6b79176b5..c66a470a75 100644
--- a/arm_compute/core/CL/kernels/CLGEMMLowpOffsetContributionKernel.h
+++ b/arm_compute/core/CL/kernels/CLGEMMLowpOffsetContributionKernel.h
@@ -1,5 +1,5 @@
/*
- * Copyright (c) 2017-2018 ARM Limited.
+ * Copyright (c) 2017-2019 ARM Limited.
*
* SPDX-License-Identifier: MIT
*
@@ -58,7 +58,7 @@ public:
CLGEMMLowpOffsetContributionKernel &operator=(CLGEMMLowpOffsetContributionKernel &&) = default;
/** Initialise the kernel's input and output.
*
- * @param[in, out] mm_result Input tensor containing the result of @ref CLGEMMLowpMatrixMultiplyKernel
+ * @param[in, out] mm_result Input tensor containing the result of @ref CLGEMMLowpMatrixMultiplyKernel. Data type supported: S32
* @param[in] vector_sum_col Input row-vector of sums of all the entries in each column of matrix B.
* Note: vector_sum_col can be a nullptr in case a_offset = 0. Data type supported: same as @p mm_result
* @param[in] vector_sum_row Input row-vector of sums of all the entries in each row of matrix A.