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/runtime/NEON/functions/NEFFT1D.h b/arm_compute/runtime/NEON/functions/NEFFT1D.h
index c706936..ca3ef16 100644
--- a/arm_compute/runtime/NEON/functions/NEFFT1D.h
+++ b/arm_compute/runtime/NEON/functions/NEFFT1D.h
@@ -51,8 +51,9 @@
NEFFT1D(std::shared_ptr<IMemoryManager> memory_manager = nullptr);
/** Initialise the function's source and destinations.
*
- * @param[in] input Source tensor. Data types supported: F32.
- * @param[out] output Destination tensor. Data types and data layouts supported: Same as @p input.
+ * @param[in] input Source tensor. Data types supported: F32. Number of channels supported: 1 (real tensor) or 2 (complex tensor).
+ * @param[out] output Destination tensor. Data types and data layouts supported: Same as @p input.
+ * Number of channels supported: 1 (real tensor) or 2 (complex tensor).If @p input is real, @p output must be complex.
* @param[in] config FFT related configuration
*/
void configure(const ITensor *input, ITensor *output, const FFT1DInfo &config);