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-rw-r--r--arm_compute/core/CL/kernels/CLGEMMMatrixAdditionKernel.h2
-rw-r--r--arm_compute/core/CL/kernels/CLGEMMMatrixMultiplyKernel.h2
2 files changed, 2 insertions, 2 deletions
diff --git a/arm_compute/core/CL/kernels/CLGEMMMatrixAdditionKernel.h b/arm_compute/core/CL/kernels/CLGEMMMatrixAdditionKernel.h
index c808039567..b3a85a1706 100644
--- a/arm_compute/core/CL/kernels/CLGEMMMatrixAdditionKernel.h
+++ b/arm_compute/core/CL/kernels/CLGEMMMatrixAdditionKernel.h
@@ -52,7 +52,7 @@ public:
*
* @note The input and output tensors must have the same dimensions
*
- * @param[in] input Input tensor (Matrix C). Data types supported: F16/F32
+ * @param[in] input Input tensor (Matrix C). Data types supported: QS8/F16/F32
* @param[in, out] output Output tensor. If this kernel is used to finalize the GEMM result (alpha * AB + beta * C), output must contain the result obtained by @ref CLGEMMMatrixMultiplyKernel. Data type supported: same as @p input
* @param[in] beta Weight of matrix C
*/
diff --git a/arm_compute/core/CL/kernels/CLGEMMMatrixMultiplyKernel.h b/arm_compute/core/CL/kernels/CLGEMMMatrixMultiplyKernel.h
index 07ea3c12ac..7625358b8b 100644
--- a/arm_compute/core/CL/kernels/CLGEMMMatrixMultiplyKernel.h
+++ b/arm_compute/core/CL/kernels/CLGEMMMatrixMultiplyKernel.h
@@ -53,7 +53,7 @@ public:
CLGEMMMatrixMultiplyKernel &operator=(CLGEMMMatrixMultiplyKernel &&) = default;
/** Initialise the kernel's input, output and alpha
*
- * @param[in] input0 Input tensor containing the interleaved Matrix A or the vector A. Data types supported: F16/F32
+ * @param[in] input0 Input tensor containing the interleaved Matrix A or the vector A. Data types supported: QS8/F16/F32
* @param[in] input1 Input tensor containing the transposed Matrix B if the first input tensor A is not a vector.
* If the output tensor is a vector, input1 must contain the matrix B not reshaped. Data type supported: same as @p input0
* @param[out] output Output tensor to store the result of matrix multiplication. Data type supported: same as @p input0