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Diffstat (limited to 'arm_compute/core/NEON/kernels/NEDirectConvolutionLayerKernel.h')
-rw-r--r--arm_compute/core/NEON/kernels/NEDirectConvolutionLayerKernel.h21
1 files changed, 11 insertions, 10 deletions
diff --git a/arm_compute/core/NEON/kernels/NEDirectConvolutionLayerKernel.h b/arm_compute/core/NEON/kernels/NEDirectConvolutionLayerKernel.h
index d726071606..5612e1ae62 100644
--- a/arm_compute/core/NEON/kernels/NEDirectConvolutionLayerKernel.h
+++ b/arm_compute/core/NEON/kernels/NEDirectConvolutionLayerKernel.h
@@ -46,16 +46,17 @@ public:
NEDirectConvolutionLayerKernel &operator=(NEDirectConvolutionLayerKernel &&) = default;
/** Default destructor */
~NEDirectConvolutionLayerKernel() = default;
- /** Set the input, weights and output tensors.
- *
- * @param[in] input Input tensor. Data types supported: QS8/F32.
- * @param[in] weights Set of kernels to convolve the input volume.
- * The 3rd dimension must be the same as the input's volume 3rd dimension.
- * Data type supported: Same as @p input.
- * @param[out] output Output tensor.
- * The 3rd dimensions must be equal to the 4th dimension of the @p kernels tensor. Data types supported: Same as @p input.
- * @param[in] conv_info Contains padding and stride information described in @ref PadStrideInfo.
- */
+ /** Set the input, weights, and output tensors.
+ *
+ * @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/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.
+ * @param[out] output Output tensor.
+ * The 3rd dimensions must be equal to the 4th dimension of the @p kernels tensor. Data types supported: Same as @p input.
+ * @param[in] conv_info Contains padding and stride information described in @ref PadStrideInfo.
+ */
void configure(const ITensor *input, const ITensor *weights, ITensor *output, const PadStrideInfo &conv_info);
// Inherited methods overridden: