diff options
Diffstat (limited to 'arm_compute/runtime/NEON/functions/NEDepthwiseConvolution.h')
| -rw-r--r-- | arm_compute/runtime/NEON/functions/NEDepthwiseConvolution.h | 41 |
1 files changed, 41 insertions, 0 deletions
diff --git a/arm_compute/runtime/NEON/functions/NEDepthwiseConvolution.h b/arm_compute/runtime/NEON/functions/NEDepthwiseConvolution.h index acf66f8dd4..f2c209cd80 100644 --- a/arm_compute/runtime/NEON/functions/NEDepthwiseConvolution.h +++ b/arm_compute/runtime/NEON/functions/NEDepthwiseConvolution.h @@ -25,8 +25,12 @@ #define __ARM_COMPUTE_NEDEPTHWISECONVOLUTION_H__ #include "arm_compute/core/NEON/kernels/NEDepthwiseConvolution3x3Kernel.h" +#include "arm_compute/core/NEON/kernels/NEDepthwiseIm2ColKernel.h" +#include "arm_compute/core/NEON/kernels/NEDepthwiseVectorToTensorKernel.h" +#include "arm_compute/core/NEON/kernels/NEDepthwiseWeightsReshapeKernel.h" #include "arm_compute/core/NEON/kernels/NEDirectConvolutionLayerBiasAccumulateKernel.h" #include "arm_compute/core/NEON/kernels/NEFillBorderKernel.h" +#include "arm_compute/core/NEON/kernels/NEGEMMMatrixVectorMultiplyKernel.h" #include "arm_compute/core/Types.h" #include "arm_compute/runtime/IFunction.h" #include "arm_compute/runtime/IMemoryManager.h" @@ -68,5 +72,42 @@ private: NEFillBorderKernel _border_handler; bool _has_bias; }; + +/** Basic function to execute a generic depthwise convolution. This function calls the following OpenCL kernels: + * + * -# @ref NEDepthwiseIm2ColKernel + * -# @ref NEDepthwiseWeightsReshapeKernel + * -# @ref NEGEMMMatrixVectorMultiplyKernel + * -# @ref NEFillBorderKernel (if pad_x or pad_y > 0) + * + */ +class NEDepthwiseConvolution : public IFunction +{ +public: + /** Default constructor */ + NEDepthwiseConvolution(); + /** Initialize the function's source, destination, weights and convolution information. + * + * @param[in, out] input Source tensor. Data type supported: F32. (Written to only for border filling). + * @param[out] output Destination tensor. Data type supported: same as @p input. + * @param[in] weights Weights tensor. These are 3D tensors with shape [kernel_x, kernel_y, IFM]. Data type supported: Same as @p input. + * @param[in] biases (Optional) Biases tensor. A 1D tensor with shape [IFM]. Must be nullptr if not needed. + * Data type supported: Same as @p input. + * @param[in] conv_info Padding and stride information to use for the convolution. + */ + void configure(ITensor *input, const ITensor *weights, const ITensor *biases, ITensor *output, const PadStrideInfo &conv_info); + + // Inherited methods overriden: + void run() override; + +private: + NEDepthwiseIm2ColKernel _im2col_kernel; + NEDepthwiseWeightsReshapeKernel _weights_reshape_kernel; + NEGEMMMatrixVectorMultiplyKernel _v2mm_kernel; + NEDepthwiseVectorToTensorKernel _vector_to_tensor_kernel; + Tensor _input_reshaped; + Tensor _weights_reshaped; + Tensor _v2mm_output; +}; } #endif /* __ARM_COMPUTE_NEDEPTHWISECONVOLUTION_H__ */
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