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Diffstat (limited to 'arm_compute/core/NEON/kernels/NEGEMMLowpOffsetContributionOutputStageKernel.h')
-rw-r--r--arm_compute/core/NEON/kernels/NEGEMMLowpOffsetContributionOutputStageKernel.h4
1 files changed, 2 insertions, 2 deletions
diff --git a/arm_compute/core/NEON/kernels/NEGEMMLowpOffsetContributionOutputStageKernel.h b/arm_compute/core/NEON/kernels/NEGEMMLowpOffsetContributionOutputStageKernel.h
index c284ca5c5f..dadc5c221b 100644
--- a/arm_compute/core/NEON/kernels/NEGEMMLowpOffsetContributionOutputStageKernel.h
+++ b/arm_compute/core/NEON/kernels/NEGEMMLowpOffsetContributionOutputStageKernel.h
@@ -83,7 +83,7 @@ public:
* @param[in] vector_sum_row Input row-vector of sums of all the entries in each row of matrix A.
* @param[in] bias Biases tensor. Only shared biases supported and it can be a nullptr if the addition of biases is not required.
* Biases are 1D tensor with dimensions [OFM]. Data type supported: Same as @p mm_result.
- * @param[out] output Output tensor containing the final quantized result. Data type supported: QASYMM8
+ * @param[out] output Output tensor containing the final quantized result. Data type supported: QASYMM8/QASYMM8_SIGNED
* @param[in] k Number of matrix A columns or Matrix B rows
* @param[in] a_offset Offset to be added to each element of the matrix A.
* @param[in] b_offset Offset to be added to each element of the matrix B.
@@ -100,7 +100,7 @@ public:
* Note: vector_sum_row can be a nullptr in case b_offset = 0. Data type supported: same as @p mm_result
* @param[in] bias Biases tensor info. Only shared biases supported and it can be a nullptr if the addition of biases is not required.
* Biases are 1D tensor with dimensions [OFM]. Data type supported: Same as @p mm_result.
- * @param[in] output Output tensor info containing the final quantized result. Data type supported: QASYMM8
+ * @param[in] output Output tensor info containing the final quantized result. Data type supported: QASYMM8/QASYMM8_SIGNED
* @param[in] a_offset Offset to be added to each element of the matrix A.
* @param[in] b_offset Offset to be added to each element of the matrix B.
* @param[in] output_stage GEMMLowp output stage info, providing the type of quantization and the necessary parameters.