COMPMID-556 Fix NEON/CL copy-paste documentation mistakes
Change-Id: Icbb3a79e42a37f5a874da74231dd185768e4dcc6
Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/112910
Reviewed-by: Gian Marco Iodice <gianmarco.iodice@arm.com>
Reviewed-by: Anthony Barbier <anthony.barbier@arm.com>
Tested-by: Anthony Barbier <anthony.barbier@arm.com>
diff --git a/arm_compute/runtime/CL/functions/CLConvolutionLayer.h b/arm_compute/runtime/CL/functions/CLConvolutionLayer.h
index 74c1244..a8a04a0 100644
--- a/arm_compute/runtime/CL/functions/CLConvolutionLayer.h
+++ b/arm_compute/runtime/CL/functions/CLConvolutionLayer.h
@@ -102,8 +102,8 @@
* @param[out] output Destination tensor. 3 lower dimensions represent a single output [width, height, OFM], while the rest represent batch of outputs.
* Data types supported: Same as @p input.
* @param[in] conv_info Contains padding and stride information described in @ref PadStrideInfo.
- * @param[in] weights_info Specifies if the weights tensor has been reshaped with NEWeightsReshapeKernel. If this is not part of the fully connected layer the weights
- * tensor has also been transposed with NEGEMMTranspose1xWKernel. Data type supported: Same as @p input.
+ * @param[in] weights_info Specifies if the weights tensor has been reshaped with CLWeightsReshapeKernel. If this is not part of the fully connected layer the weights
+ * tensor has also been transposed with CLGEMMTranspose1xWKernel. Data type supported: Same as @p input.
*/
void configure(const ICLTensor *input, const ICLTensor *weights, const ICLTensor *biases, ICLTensor *output, const PadStrideInfo &conv_info, const WeightsInfo &weights_info = WeightsInfo());
diff --git a/arm_compute/runtime/CL/functions/CLHOGDetector.h b/arm_compute/runtime/CL/functions/CLHOGDetector.h
index 0b4fad7..1587836 100644
--- a/arm_compute/runtime/CL/functions/CLHOGDetector.h
+++ b/arm_compute/runtime/CL/functions/CLHOGDetector.h
@@ -55,7 +55,7 @@
*
* @attention The function does not reset the number of values in @ref IDetectionWindowArray so it is caller's responsibility to clear it.
*
- * @param[in] input Input tensor. It is the output of @ref NEHOGDescriptor. Data type supported: F32
+ * @param[in] input Input tensor. It is the output of @ref CLHOGDescriptor. Data type supported: F32
* @param[in] hog HOG data-object that describes the HOG descriptor
* @param[out] detection_windows Array of @ref DetectionWindow used to store the detected objects
* @param[in] detection_window_stride Distance in pixels between 2 consecutive detection windows in x and y directions.
diff --git a/arm_compute/runtime/NEON/functions/NEDepthwiseConvolutionLayer.h b/arm_compute/runtime/NEON/functions/NEDepthwiseConvolutionLayer.h
index 0da16ab..659594f 100644
--- a/arm_compute/runtime/NEON/functions/NEDepthwiseConvolutionLayer.h
+++ b/arm_compute/runtime/NEON/functions/NEDepthwiseConvolutionLayer.h
@@ -73,7 +73,7 @@
bool _has_bias;
};
-/** Basic function to execute a generic depthwise convolution. This function calls the following OpenCL kernels:
+/** Basic function to execute a generic depthwise convolution. This function calls the following NEON kernels:
*
* -# @ref NEDepthwiseIm2ColKernel
* -# @ref NEDepthwiseWeightsReshapeKernel
diff --git a/arm_compute/runtime/NEON/functions/NEROIPoolingLayer.h b/arm_compute/runtime/NEON/functions/NEROIPoolingLayer.h
index 5adc111..69a90dd 100644
--- a/arm_compute/runtime/NEON/functions/NEROIPoolingLayer.h
+++ b/arm_compute/runtime/NEON/functions/NEROIPoolingLayer.h
@@ -35,7 +35,7 @@
/** Basic function to run @ref NEROIPoolingLayerKernel.
*
- * This function calls the following OpenCL kernels:
+ * This function calls the following NEON kernels:
* -# @ref NEROIPoolingLayerKernel
*
*/