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Diffstat (limited to 'arm_compute/core/NEON/kernels/NEIm2ColKernel.h')
-rw-r--r--arm_compute/core/NEON/kernels/NEIm2ColKernel.h18
1 files changed, 10 insertions, 8 deletions
diff --git a/arm_compute/core/NEON/kernels/NEIm2ColKernel.h b/arm_compute/core/NEON/kernels/NEIm2ColKernel.h
index e219ce2e0e..9b8b98b388 100644
--- a/arm_compute/core/NEON/kernels/NEIm2ColKernel.h
+++ b/arm_compute/core/NEON/kernels/NEIm2ColKernel.h
@@ -29,6 +29,7 @@
namespace arm_compute
{
class ITensor;
+class Size2D;
/** Interface for the im2col reshape kernel.
*
@@ -71,14 +72,14 @@ public:
/** Set the input and output of the kernel.
*
- * @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: QS8/F16/F32
- * @param[out] output The output tensor. Data types supported: Same as @p input
- * @param[in] convolved_dims The convolved output dimensions.
- * @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] 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: QS8/F16/F32
+ * @param[out] output The output tensor. 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 In case biases are provided expands the matrix with 1.
*/
- void configure(const ITensor *input, ITensor *output, std::pair<unsigned int, unsigned int> convolved_dims, const PadStrideInfo &conv_info, bool has_bias);
+ void configure(const ITensor *input, ITensor *output, const Size2D &kernel_dims, const PadStrideInfo &conv_info, bool has_bias);
// Inherited methods overridden:
void run(const Window &window) override;
@@ -107,7 +108,8 @@ private:
ITensor *_output;
std::pair<unsigned int, unsigned int> _convolved_dims;
PadStrideInfo _conv_info;
- unsigned int _kernel_size;
+ unsigned int _kernel_width;
+ unsigned int _kernel_height;
bool _has_bias;
};
}