diff options
Diffstat (limited to 'arm_compute/core/NEON/kernels/NEIm2ColKernel.h')
| -rw-r--r-- | arm_compute/core/NEON/kernels/NEIm2ColKernel.h | 12 |
1 files changed, 7 insertions, 5 deletions
diff --git a/arm_compute/core/NEON/kernels/NEIm2ColKernel.h b/arm_compute/core/NEON/kernels/NEIm2ColKernel.h index 19da7cfd53..37145a38c1 100644 --- a/arm_compute/core/NEON/kernels/NEIm2ColKernel.h +++ b/arm_compute/core/NEON/kernels/NEIm2ColKernel.h @@ -83,12 +83,13 @@ 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 kernel will be called by @ref NEFullyConnectedLayer in order to validate the arguments * @param[in] is_flatten (Optional) Determines whether this kernel 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). */ 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, const Size2D &dilation = Size2D(1U, 1U)); + 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 NEIm2ColKernel * * @param[in] input The input tensor to convert. 3 lower dimensions represent a single input [width, height, IFM], @@ -98,14 +99,15 @@ 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 (Optional) Determines whether this kernel will be called by @ref NEFullyConnectedLayer in order to validate the arguments - * @param[in] is_flatten (Optional) Determines whether this kernel 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 kernel will be called by @ref NEFullyConnectedLayer in order to validate the arguments + * @param[in] is_flatten (Optional) Determines whether this kernel 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 = false, bool is_flatten = false, const Size2D &dilation = Size2D(1U, 1U)); + 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(const Window &window, const ThreadInfo &info) override; |