diff options
Diffstat (limited to 'arm_compute/runtime/NEON/functions')
-rw-r--r-- | arm_compute/runtime/NEON/functions/NEIm2Col.h | 14 |
1 files changed, 10 insertions, 4 deletions
diff --git a/arm_compute/runtime/NEON/functions/NEIm2Col.h b/arm_compute/runtime/NEON/functions/NEIm2Col.h index d888b7e8f5..9df4f070d8 100644 --- a/arm_compute/runtime/NEON/functions/NEIm2Col.h +++ b/arm_compute/runtime/NEON/functions/NEIm2Col.h @@ -49,10 +49,13 @@ 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] dilation (Optional) Dilation, in elements, across x and y. Defaults to (1, 1). + * @param[in] num_groups (Optional) Number of groups when performing a grouped convolution * @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, bool is_flatten = false); + void configure(const ITensor *input, ITensor *output, const Size2D &kernel_dims, const PadStrideInfo &conv_info, bool has_bias, const Size2D &dilation = Size2D(1U, 1U), + unsigned int num_groups = 1, 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], @@ -62,12 +65,15 @@ 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 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 + * @param[in] dilation (Optional) Dilation, in elements, across x and y. Defaults to (1, 1). + * @param[in] num_groups (Optional) Number of groups when performing a grouped convolution + * @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 * * @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, bool is_flatten); + static Status validate(const ITensorInfo *input, const ITensorInfo *output, const Size2D &kernel_dims, const PadStrideInfo &conv_info, bool has_bias, const Size2D &dilation = Size2D(1U, 1U), + unsigned int num_groups = 1, bool is_fully_connected = false, bool is_flatten = false); // Inherited methods overridden: void run() override; |