diff options
Diffstat (limited to 'arm_compute/runtime/NEON')
-rw-r--r-- | arm_compute/runtime/NEON/functions/NEIm2Col.h | 22 |
1 files changed, 17 insertions, 5 deletions
diff --git a/arm_compute/runtime/NEON/functions/NEIm2Col.h b/arm_compute/runtime/NEON/functions/NEIm2Col.h index cf4999b5af..caa8a011f6 100644 --- a/arm_compute/runtime/NEON/functions/NEIm2Col.h +++ b/arm_compute/runtime/NEON/functions/NEIm2Col.h @@ -26,6 +26,7 @@ #include "arm_compute/runtime/NEON/INESimpleFunction.h" +#include "arm_compute/core/NEON/kernels/NEIm2ColKernel.h" #include "arm_compute/core/Size2D.h" #include "arm_compute/core/Types.h" @@ -34,9 +35,11 @@ namespace arm_compute class ITensor; /** Basic function to run @ref NEIm2ColKernel */ -class NEIm2Col : public INESimpleFunction +class NEIm2Col : public IFunction { public: + /** Default constructor */ + NEIm2Col(); /** Configure the im2col NEON kernel * * @param[in] input The input tensor to convert. 3 lower dimensions represent a single input [width, height, IFM], @@ -46,9 +49,10 @@ public: * @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 In case biases are provided expands the matrix with 1. - * @param[in] is_fully_connected Determines whether this kernel will be called by @ref NEFullyConnectedLayer in order to validate the arguments + * @param[in] is_fully_connected (Optional) Determines whether this function will be called by @ref NEFullyConnectedLayer in order to validate the arguments + * @param[in] is_flatten (Optional) Determines whether this function will be called by @ref NEFlattenLayer in order to validate the arguments */ - void configure(const ITensor *input, ITensor *output, const Size2D &kernel_dims, const PadStrideInfo &conv_info, bool has_bias, bool is_fully_connected = false); + void configure(const ITensor *input, ITensor *output, const Size2D &kernel_dims, const PadStrideInfo &conv_info, bool has_bias, bool is_fully_connected = false, bool is_flatten = false); /** Static function to check if given info will lead to a valid configuration of @ref NEIm2Col * * @param[in] input The input tensor to convert. 3 lower dimensions represent a single input [width, height, IFM], @@ -58,11 +62,19 @@ public: * @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 In case biases are provided expands the matrix with 1. - * @param[in] is_fully_connected Determines whether this kernel will be called by @ref NEFullyConnectedLayer in order to validate the arguments + * @param[in] is_fully_connected Determines whether this function will be called by @ref NEFullyConnectedLayer in order to validate the arguments + * @param[in] is_flatten Determines whether this function will be called by @ref NEFlattenLayer in order to validate the arguments * * @return a status */ - static Status validate(const ITensorInfo *input, const ITensorInfo *output, const Size2D &kernel_dims, const PadStrideInfo &conv_info, bool has_bias, bool is_fully_connected); + static Status validate(const ITensorInfo *input, const ITensorInfo *output, const Size2D &kernel_dims, const PadStrideInfo &conv_info, bool has_bias, bool is_fully_connected, bool is_flatten); + + // Inherited methods overridden: + void run() override; + +private: + NEIm2ColKernel _kernel; + unsigned int _y_dim; }; } #endif /* __ARM_COMPUTE_NEIM2COL_H__ */ |