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Diffstat (limited to 'arm_compute/core/CL/kernels/CLDirectConvolutionLayerKernel.h')
-rw-r--r--arm_compute/core/CL/kernels/CLDirectConvolutionLayerKernel.h4
1 files changed, 2 insertions, 2 deletions
diff --git a/arm_compute/core/CL/kernels/CLDirectConvolutionLayerKernel.h b/arm_compute/core/CL/kernels/CLDirectConvolutionLayerKernel.h
index eb1bf58b1b..bd37e35334 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: QASYMM8/QS8/QS16/F16/F32.
+ * while every optional dimension from 4 and above represent a batch of inputs. Data types supported: QASYMM8/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.
@@ -70,7 +70,7 @@ public:
/** Static function to check if given info will lead to a valid configuration of @ref CLDirectConvolutionLayerKernel
*
* @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/QASYMM8/QS16/F16/F32.
+ * while every optional dimension from 4 and above represent a batch of inputs. Data types supported: QASYMM8/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.