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-rw-r--r--arm_compute/runtime/NEON/functions/NEIm2Col.h13
1 files changed, 13 insertions, 0 deletions
diff --git a/arm_compute/runtime/NEON/functions/NEIm2Col.h b/arm_compute/runtime/NEON/functions/NEIm2Col.h
index 913eafabea..4a498514a6 100644
--- a/arm_compute/runtime/NEON/functions/NEIm2Col.h
+++ b/arm_compute/runtime/NEON/functions/NEIm2Col.h
@@ -48,6 +48,19 @@ public:
* @param[in] has_bias In case biases are provided expands the matrix with 1.
*/
void configure(const ITensor *input, ITensor *output, const Size2D &kernel_dims, const PadStrideInfo &conv_info, bool has_bias);
+ /** 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],
+ * while every optional dimension from 4 and above represent a batch of inputs. Data types supported: QS8/QS16/QASYMM8/F16/F32
+ * Note: QASYMM8 works only for has_bias = false
+ * @param[in] 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.
+ *
+ * @return an error status
+ */
+ static Error validate(const ITensorInfo *input, const ITensorInfo *output, const Size2D &kernel_dims, const PadStrideInfo &conv_info, bool has_bias);
};
}
#endif /* __ARM_COMPUTE_NEIM2COL_H__ */