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Diffstat (limited to 'arm_compute/core/CL/kernels/CLIm2ColKernel.h')
-rw-r--r--arm_compute/core/CL/kernels/CLIm2ColKernel.h15
1 files changed, 14 insertions, 1 deletions
diff --git a/arm_compute/core/CL/kernels/CLIm2ColKernel.h b/arm_compute/core/CL/kernels/CLIm2ColKernel.h
index 1d8b5500c1..88de1ba002 100644
--- a/arm_compute/core/CL/kernels/CLIm2ColKernel.h
+++ b/arm_compute/core/CL/kernels/CLIm2ColKernel.h
@@ -69,7 +69,7 @@ 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/QS16/QASYMM8/F16/F32
+ * while every optional dimension from 4 and above represent a batch of inputs. Data types supported: QS8/QASYMM8/QS16/F16/F32
* @param[out] output The output tensor. First 2 lower dimensions represent a transform of each 3D input,
* while every dimension above represents a batch. Data types supported: Same as @p input
* @param[in] kernel_dims The kernel dimensions (width and height).
@@ -80,6 +80,19 @@ public:
// Inherited methods overridden:
void run(const Window &window, cl::CommandQueue &queue) override;
+ /** Static function to check if given info will lead to a valid configuration of @ref CLIm2ColKernel
+ *
+ * @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/QASYMM8/QS16/F16/F32
+ * @param[in] output The output tensor. First 2 lower dimensions represent a transform of each 3D input,
+ * while every dimension above represents a batch. 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.
+ *
+ * @return a status
+ */
+ static Status validate(const ITensorInfo *input, const ITensorInfo *output, const Size2D &kernel_dims, const PadStrideInfo &conv_info, bool has_bias);
private:
/** Run the reshape kernel optimised for the special case (stride is 1, padding is 0 and kernel's low 3 dimensions are same as input)