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-rw-r--r--arm_compute/core/CL/CLKernelLibrary.h2
-rw-r--r--arm_compute/core/CL/kernels/CLDirectConvolutionLayerKernel.h2
2 files changed, 2 insertions, 2 deletions
diff --git a/arm_compute/core/CL/CLKernelLibrary.h b/arm_compute/core/CL/CLKernelLibrary.h
index d433a740ac..f6256727f8 100644
--- a/arm_compute/core/CL/CLKernelLibrary.h
+++ b/arm_compute/core/CL/CLKernelLibrary.h
@@ -63,7 +63,7 @@ public:
*
* @return Build options set
*/
- StringSet options() const;
+ const StringSet &options() const;
private:
StringSet _build_opts; /**< Build options set */
diff --git a/arm_compute/core/CL/kernels/CLDirectConvolutionLayerKernel.h b/arm_compute/core/CL/kernels/CLDirectConvolutionLayerKernel.h
index d876143a32..85deeaef37 100644
--- a/arm_compute/core/CL/kernels/CLDirectConvolutionLayerKernel.h
+++ b/arm_compute/core/CL/kernels/CLDirectConvolutionLayerKernel.h
@@ -56,7 +56,7 @@ public:
* 5x5 convolution with stride_x = 1/2, stride_y = 1/2
*
* @param[in] input The input tensor to convolve. 3 lower dimensions represent a single input [width, height, IFM],
- * while every optional dimension from 4 and above represent a batch of inputs. Data types supported: QS8/QS16/F16/F32.
+ * while every optional dimension from 4 and above represent a batch of inputs. Data types supported: QASYMM8/QS8/QS16/F16/F32.
* @param[in] weights Weights tensor. Weights are 4D tensor with dimensions [kernel_x, kernel_y, IFM, OFM].
* The 3rd dimension must be the same as the input's volume 3rd dimension.
* Data type supported:Same as @p input.