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authorAron Virginas-Tar <Aron.Virginas-Tar@arm.com>2019-08-01 11:24:08 +0100
committerÁron Virginás-Tar <aron.virginas-tar@arm.com>2019-08-01 10:26:21 +0000
commita0baa17e501970f5a60227a9ccaa95ab0b9730c9 (patch)
tree6fcecd6c836e3559ca75de5c61e371cf5b518814
parentb8805204fb0ea64079735921bcc0cc2b1aedfcf6 (diff)
downloadandroid-nn-driver-a0baa17e501970f5a60227a9ccaa95ab0b9730c9.tar.gz
Fix explanatory comment around SanitizeBiasQuantizationScale()
Signed-off-by: Aron Virginas-Tar <Aron.Virginas-Tar@arm.com> Change-Id: I92700da149a800f1d8215e964d1e67056628f067
-rw-r--r--ConversionUtils.hpp4
1 files changed, 2 insertions, 2 deletions
diff --git a/ConversionUtils.hpp b/ConversionUtils.hpp
index 2fa8a072..18a65413 100644
--- a/ConversionUtils.hpp
+++ b/ConversionUtils.hpp
@@ -337,8 +337,8 @@ Shape GetOperandShape(const V1_0::Operand& operand)
// ArmNN requires the bias scale to be equal to the product of the weight and input scales, which is also
// what AndroidNN requires. However for some of the AndroidNN tests the values don't exactly match so
-// we accept some tolerance. We don't want to ArmNN itself to accept these inconsistencies as it is up to the user
-// (us, in this case) to ensure they match.
+// we accept some tolerance. We don't want ArmNN itself to accept these inconsistencies as it is up to the
+// user (us, in this case) to ensure they match.
void SanitizeBiasQuantizationScale(armnn::TensorInfo& biasInfo,
const armnn::TensorInfo& weightInfo, const armnn::TensorInfo& inputInfo)
{