diff options
Diffstat (limited to 'arm_compute/runtime/NEON/functions/NEDirectConvolutionLayer.h')
-rw-r--r-- | arm_compute/runtime/NEON/functions/NEDirectConvolutionLayer.h | 32 |
1 files changed, 16 insertions, 16 deletions
diff --git a/arm_compute/runtime/NEON/functions/NEDirectConvolutionLayer.h b/arm_compute/runtime/NEON/functions/NEDirectConvolutionLayer.h index daaf18f297..c731bf278f 100644 --- a/arm_compute/runtime/NEON/functions/NEDirectConvolutionLayer.h +++ b/arm_compute/runtime/NEON/functions/NEDirectConvolutionLayer.h @@ -51,22 +51,22 @@ public: /** Constructor */ NEDirectConvolutionLayer(std::shared_ptr<IMemoryManager> memory_manager = nullptr); /** Set the input, weights, biases and output tensors. - * - * @note: DirectConvolution only works in the following configurations: - * 1x1 convolution with stride_x = 1/2/3, stride_y = 1/2/3 data type = QS8/QS16/F16/F32 - * 3x3 convolution with stride_x = 1/2/3, stride_y = 1/2/3 data type = QS8/F16/F32 - * 5x5 convolution with stride_x = 1/2/3, stride_y = 1/2/3 data type = F32 - * - * @param[in, out] input Input tensor. Data types supported: QS8/QS16/F16/F32. - * @param[in] weights Set of kernels to convolve the input volume. - * Supported sizes: 1x1, 3x3 and 5x5. - * The 3rd dimension must be the same as the input's volume 3rd dimension. - * Data type supported: Same as @p input. - * @param[in] bias Set of biases. 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. - */ + * + * @note: DirectConvolution only works in the following configurations: + * 1x1 convolution with stride_x = 1/2/3, stride_y = 1/2/3 data type = QS8/QS16/F16/F32 + * 3x3 convolution with stride_x = 1/2/3, stride_y = 1/2/3 data type = QS8/F16/F32 + * 5x5 convolution with stride_x = 1/2/3, stride_y = 1/2/3 data type = F32 + * + * @param[in, out] input Input tensor. Data types supported: QS8/QS16/F16/F32. + * @param[in] weights Set of kernels to convolve the input volume. + * Supported sizes: 1x1, 3x3 and 5x5. + * The 3rd dimension must be the same as the input's volume 3rd dimension. + * Data type supported: Same as @p input. + * @param[in] bias Set of biases. 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(ITensor *input, const ITensor *weights, const ITensor *bias, ITensor *output, const PadStrideInfo &conv_info); // Inherited methods overridden: |