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Diffstat (limited to 'arm_compute/runtime/NEON/functions/NEGEMMLowp.h')
-rw-r--r--arm_compute/runtime/NEON/functions/NEGEMMLowp.h8
1 files changed, 4 insertions, 4 deletions
diff --git a/arm_compute/runtime/NEON/functions/NEGEMMLowp.h b/arm_compute/runtime/NEON/functions/NEGEMMLowp.h
index 865c729d39..59c919e161 100644
--- a/arm_compute/runtime/NEON/functions/NEGEMMLowp.h
+++ b/arm_compute/runtime/NEON/functions/NEGEMMLowp.h
@@ -57,14 +57,14 @@ public:
* @note GEMM_LOWP: low precision GEMM kernel
* This kernel performs the following computations:
*
- * -# Convert a values from uint8 to int32 and add a_offset to each of them.
- * -# Convert b values from uint8 to int32 and add b_offset to each of them.
+ * -# Convert a values from int8 to int32 and add a_offset to each of them.
+ * -# Convert b values from int8 to int32 and add b_offset to each of them.
* -# Compute the int32 matrix product of the resulting a * b.
* -# Add output_offset to each entry of the result.
* -# Multiply each entry of the result and round to the nearest integer
- * -# Clamp the resulting int32 values to the [0..255] range and cast to uint8.
+ * -# Clamp the resulting int32 values to the [0..255] range and cast to int8.
*
- * @param[in] a First input tensor (Matrix A). Data type supported: U8.
+ * @param[in] a First input tensor (Matrix A). Data type supported: S8.
* @param[in] b Second input tensor (Matrix B). Data type supported: same as @p a
* @param[out] output Output tensor. Data type supported: same as @p a.
* @param[in] a_offset Offset to be added to each element of the matrix A.