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authorMichele Di Giorgio <michele.digiorgio@arm.com>2021-03-09 14:09:08 +0000
committerMichele Di Giorgio <michele.digiorgio@arm.com>2021-03-31 17:08:51 +0000
commit33f41fabd30fb444aaa0cf3e65b61794d498d151 (patch)
treea381cff3096a3b05198b0cd311fee28e40fd5a4f /src/core/NEON/kernels/NEGEMMLowpReductionKernel.h
parent5f91b5d7063462854b62d342f9d4e04ae647e9a6 (diff)
downloadComputeLibrary-33f41fabd30fb444aaa0cf3e65b61794d498d151.tar.gz
Fix trademarks throughout the codebase
Resolves: COMPMID-4299 Change-Id: Ie6a52c1371b9a2a7b5bb4f019ecd5e70a2008567 Signed-off-by: Michele Di Giorgio <michele.digiorgio@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5338 Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com>
Diffstat (limited to 'src/core/NEON/kernels/NEGEMMLowpReductionKernel.h')
-rw-r--r--src/core/NEON/kernels/NEGEMMLowpReductionKernel.h6
1 files changed, 3 insertions, 3 deletions
diff --git a/src/core/NEON/kernels/NEGEMMLowpReductionKernel.h b/src/core/NEON/kernels/NEGEMMLowpReductionKernel.h
index 521adbfca4..9be618d656 100644
--- a/src/core/NEON/kernels/NEGEMMLowpReductionKernel.h
+++ b/src/core/NEON/kernels/NEGEMMLowpReductionKernel.h
@@ -32,7 +32,7 @@ namespace arm_compute
class ITensor;
struct GEMMLowpReductionKernelInfo;
-/** Common interface for all Neon reduction kernels */
+/** Common interface for all reduction kernels */
class INEGEMMLowpReductionKernel : public INEKernel
{
public:
@@ -69,7 +69,7 @@ protected:
bool _mul_by_scalar;
};
-/** Neon kernel used to compute the row-vectors of sums of all the entries in each row of Matrix A.
+/** Kernel used to compute the row-vectors of sums of all the entries in each row of Matrix A.
*
* @note This stage is needed to handle the offset of matrix product
* https://github.com/google/gemmlowp/blob/master/doc/low-precision.md
@@ -130,7 +130,7 @@ private:
void run_internal(const Window &window);
};
-/** Neon kernel used to compute the row-vectors of sums of all the entries in each column of Matrix B.
+/** Kernel used to compute the row-vectors of sums of all the entries in each column of Matrix B.
*
* @note This stage is needed to handle the offset of matrix product
* https://github.com/google/gemmlowp/blob/master/doc/low-precision.md