diff options
Diffstat (limited to 'arm_compute/core/NEON/kernels/NEDepthwiseIm2ColKernel.h')
| -rw-r--r-- | arm_compute/core/NEON/kernels/NEDepthwiseIm2ColKernel.h | 15 |
1 files changed, 15 insertions, 0 deletions
diff --git a/arm_compute/core/NEON/kernels/NEDepthwiseIm2ColKernel.h b/arm_compute/core/NEON/kernels/NEDepthwiseIm2ColKernel.h index 9c11cfa425..0d61d3ea38 100644 --- a/arm_compute/core/NEON/kernels/NEDepthwiseIm2ColKernel.h +++ b/arm_compute/core/NEON/kernels/NEDepthwiseIm2ColKernel.h @@ -65,6 +65,21 @@ public: */ void configure(const ITensor *input, ITensor *output, const Size2D &kernel_dims, const PadStrideInfo &conv_info, bool has_bias = false, unsigned int depth_multiplier = 1); + /** Static function to check if given info will lead to a valid configuration of @ref NEDepthwiseIm2ColKernel + * + * @param[in] input The input tensor to convert. 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: QASYMM8, F32 + * @param[in] output The output tensor. First 3 lower dimensions represent a transform of each 3D input, + * while every dimension above 3 represents a batch. Data types supported: Same as @p input + * @param[in] kernel_dims The kernel dimensions (width and height). + * @param[in] conv_info Contains padding and stride information described in @ref PadStrideInfo. + * @param[in] has_bias Boolean that specifies if the depthwise convolution has bias. + * @param[in] depth_multiplier (Optional) Multiplier to apply to the input's depth in order to retrieve the output's depth. Defaults to 1. + * + * @return a status + */ + static Status validate(const ITensorInfo *input, const ITensorInfo *output, const Size2D &kernel_dims, const PadStrideInfo &conv_info, bool has_bias = false, unsigned int depth_multiplier = 1); + // Inherited methods overridden: void run(const Window &window, const ThreadInfo &info) override; |