diff options
Diffstat (limited to 'arm_compute/runtime/CL')
-rw-r--r-- | arm_compute/runtime/CL/functions/CLConvolutionLayer.h | 4 | ||||
-rw-r--r-- | arm_compute/runtime/CL/functions/CLHOGDetector.h | 2 |
2 files changed, 3 insertions, 3 deletions
diff --git a/arm_compute/runtime/CL/functions/CLConvolutionLayer.h b/arm_compute/runtime/CL/functions/CLConvolutionLayer.h index 74c124421a..a8a04a0bbf 100644 --- a/arm_compute/runtime/CL/functions/CLConvolutionLayer.h +++ b/arm_compute/runtime/CL/functions/CLConvolutionLayer.h @@ -102,8 +102,8 @@ public: * @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 0b4fad7766..1587836938 100644 --- a/arm_compute/runtime/CL/functions/CLHOGDetector.h +++ b/arm_compute/runtime/CL/functions/CLHOGDetector.h @@ -55,7 +55,7 @@ public: * * @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. |