diff options
Diffstat (limited to 'arm_compute/runtime/CL/functions/CLWidthConcatenateLayer.h')
| -rw-r--r-- | arm_compute/runtime/CL/functions/CLWidthConcatenateLayer.h | 14 |
1 files changed, 10 insertions, 4 deletions
diff --git a/arm_compute/runtime/CL/functions/CLWidthConcatenateLayer.h b/arm_compute/runtime/CL/functions/CLWidthConcatenateLayer.h index 289191e030..44462b02b2 100644 --- a/arm_compute/runtime/CL/functions/CLWidthConcatenateLayer.h +++ b/arm_compute/runtime/CL/functions/CLWidthConcatenateLayer.h @@ -50,14 +50,20 @@ public: CLWidthConcatenateLayer(); /** Initialise the kernel's inputs vector and output. * - * @param[in,out] inputs_vector The vectors containing all the tensors to concatenate. Data types supported: QASYMM8/F16/F32. - * @param[out] output Output tensor. Data types supported: Same as @p input. + * @param[in] inputs_vector The vectors containing all the tensors to concatenate. Data types supported: QASYMM8/F16/F32. + * Dimensions of all the inputs should match apart for the width which can differ. + * @param[out] output Output tensor. Data types supported: Same as @p input. + * Output tensor dimensions are the same with the inputs from the second dimension and above. + * The first dimension (width) is the sum of the input tensors' widths. */ void configure(std::vector<ICLTensor *> inputs_vector, ICLTensor *output); /** Static function to check if given info will lead to a valid configuration of @ref CLDepthConcatenateLayerKernel * - * @param[in] inputs_vector The vectors containing all the tensors info to concatenate. Data types supported: QASYMM8/F16/F32. - * @param[in] output Output tensor info. Data types supported: Same as @p input. + * @param[in] inputs_vector The vectors containing all the tensors to concatenate. Data types supported: QASYMM8/F16/F32. + * Dimensions of all the inputs should match apart for the width which can differ. + * @param[in] output Output tensor. Data types supported: Same as @p input. + * Output tensor dimensions are the same with the inputs from the second dimension and above. + * The first dimension (width) is the sum of the input tensors' widths. * * @return a status */ |