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| author | steniu01 <steven.niu@arm.com> | 2017-07-18 17:37:43 +0100 |
|---|---|---|
| committer | Anthony Barbier <anthony.barbier@arm.com> | 2018-09-17 14:16:42 +0100 |
| commit | 27b386cb7596542a3296c32e41f7a5168b4d53be (patch) | |
| tree | 8c4eb09de748069f4426dd012798933fadc88e03 /arm_compute/core/NEON/kernels/NEDirectConvolutionLayerKernel.h | |
| parent | 1b80b6c7255e41257fed3b4dd0fa018e2eeee4c2 (diff) | |
| download | ComputeLibrary-27b386cb7596542a3296c32e41f7a5168b4d53be.tar.gz | |
COMPMID-355 Implement 3x3 CL direct convolution
Change-Id: I1b44dc375045964e65557f0ead57a7c12d6bf097
Reviewed-on: http://mpd-gerrit.cambridge.arm.com/81418
Tested-by: Kaizen <jeremy.johnson+kaizengerrit@arm.com>
Reviewed-by: Anthony Barbier <anthony.barbier@arm.com>
Diffstat (limited to 'arm_compute/core/NEON/kernels/NEDirectConvolutionLayerKernel.h')
| -rw-r--r-- | arm_compute/core/NEON/kernels/NEDirectConvolutionLayerKernel.h | 21 |
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: |