COMPMID-1973: Implement FFTConvolutionLayer on NEON
Change-Id: I2e667c0411bda0164a616ffe44473a78de6752c9
Signed-off-by: giuros01 <giuseppe.rossini@arm.com>
Reviewed-on: https://review.mlplatform.org/c/1066
Reviewed-by: Gian Marco Iodice <gianmarco.iodice@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>
diff --git a/arm_compute/core/NEON/kernels/NEFFTScaleKernel.h b/arm_compute/core/NEON/kernels/NEFFTScaleKernel.h
index 5a19af7..51e6d5a 100644
--- a/arm_compute/core/NEON/kernels/NEFFTScaleKernel.h
+++ b/arm_compute/core/NEON/kernels/NEFFTScaleKernel.h
@@ -55,15 +55,15 @@
~NEFFTScaleKernel() = default;
/** Set the input and output tensors.
*
- * @param[in,out] input Source tensor. Data types supported: F32.
- * @param[out] output Destination tensor. Data type supported: same as @p input
+ * @param[in,out] input Source tensor. Data types supported: F32. Number of channels supported: 2 (complex tensor).
+ * @param[out] output Destination tensor. Data type supported: same as @p input. Number of channels supported: 1 (real tensor) or 2 (complex tensor).
* @param[in] config Kernel configuration
*/
void configure(ITensor *input, ITensor *output, const FFTScaleKernelInfo &config);
/** Static function to check if given info will lead to a valid configuration of @ref NEFFTScaleKernel
*
- * @param[in] input Source tensor info. Data types supported: F32.
- * @param[in] output Destination tensor info. Data type supported: same as @p input
+ * @param[in] input Source tensor info. Data types supported: F32. Number of channels supported: 2 (complex tensor).
+ * @param[in] output Destination tensor info. Data type supported: same as @p input. Number of channels supported: 1 (real tensor) or 2 (complex tensor).
* @param[in] config Kernel configuration
*
* @return a status