Fix doxygen warnings

Resolves: COMPMID-6312
Signed-off-by: ramy.elgammal@arm.com <ramy.elgammal@arm.com>
Change-Id: I9f68ccd2edb8c4d03fec19e6b9c29609d4833342
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/9806
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Gunes Bayir <gunes.bayir@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Benchmark: Arm Jenkins <bsgcomp@arm.com>

5 files changed, 6 insertions, 16 deletions

diff --git a/arm_compute/core/CL/ICLArray.h b/arm_compute/core/CL/ICLArray.h
index b900117724..57f842b6f9 100644
--- a/arm_compute/core/CL/ICLArray.h
+++ b/arm_compute/core/CL/ICLArray.h
@@ -1,5 +1,5 @@
 /*
- * Copyright (c) 2016-2021 Arm Limited.
+ * Copyright (c) 2016-2021, 2023 Arm Limited.
  *
  * SPDX-License-Identifier: MIT
  *
@@ -66,8 +66,6 @@ public:
      * @param[in]     blocking If true, then the mapping will be ready to use by the time
      *                         this method returns, else it is the caller's responsibility
      *                         to flush the queue and wait for the mapping operation to have completed before using the returned mapping pointer.
-     *
-     * @return The mapping address.
      */
     void map(cl::CommandQueue &q, bool blocking = true)
     {
diff --git a/arm_compute/core/CL/ICLTensor.h b/arm_compute/core/CL/ICLTensor.h
index fd05e64732..78d3757e59 100644
--- a/arm_compute/core/CL/ICLTensor.h
+++ b/arm_compute/core/CL/ICLTensor.h
@@ -1,5 +1,5 @@
 /*
- * Copyright (c) 2016-2019 Arm Limited.
+ * Copyright (c) 2016-2019, 2023 Arm Limited.
  *
  * SPDX-License-Identifier: MIT
  *
@@ -71,8 +71,6 @@ public:
      * @param[in]     blocking If true, then the mapping will be ready to use by the time
      *                         this method returns, else it is the caller's responsibility
      *                         to flush the queue and wait for the mapping operation to have completed before using the returned mapping pointer.
-     *
-     * @return The mapping address.
      */
     void map(cl::CommandQueue &q, bool blocking = true);
     /** Enqueue an unmap operation of the allocated and mapped buffer on the given queue.
diff --git a/arm_compute/core/Types.h b/arm_compute/core/Types.h
index fd45bbaa1e..8a1d189e8e 100644
--- a/arm_compute/core/Types.h
+++ b/arm_compute/core/Types.h
@@ -677,7 +677,7 @@ public:
      * @param[in] stride_y (Optional) Stride, in elements, across y. Defaults to 1.
      * @param[in] pad_x    (Optional) Padding, in elements, across x. Defaults to 0.
      * @param[in] pad_y    (Optional) Padding, in elements, across y. Defaults to 0.
-     * @param[in] round    (Optional) Dimensions rounding. Defaults to @ref FLOOR.
+     * @param[in] round    (Optional) Dimensions rounding. Defaults to @ref DimensionRoundingType::FLOOR.
      */
     PadStrideInfo(unsigned int stride_x = 1, unsigned int stride_y = 1,
                   unsigned int pad_x = 0, unsigned int pad_y = 0,
@@ -1336,7 +1336,7 @@ struct Pooling3dLayerInfo
      *                               True will exclude padding while false will not (Used in AVG/L2 pooling to determine the pooling area).
      *                               Defaults to false;
      * @param[in] fp_mixed_precision (Optional) Use wider accumulators (32 bit instead of 16 for FP16) to improve accuracy.
-     * @param[in] round_type         (Optional) Dimensions rounding. Defaults to @ref FLOOR
+     * @param[in] round_type         (Optional) Dimensions rounding. Defaults to @ref DimensionRoundingType::FLOOR
      */
     explicit Pooling3dLayerInfo(PoolingType           pool_type,
                                 unsigned int          pool_size,
@@ -1366,7 +1366,7 @@ struct Pooling3dLayerInfo
      *                               True will exclude padding while false will not (Used in AVG/L2 pooling to determine the pooling area).
      *                               Defaults to false;
      * @param[in] fp_mixed_precision (Optional) Use wider accumulators (32 bit instead of 16 for FP16) to improve accuracy.
-     * @param[in] round_type         (Optional) Dimensions rounding. Defaults to @ref FLOOR
+     * @param[in] round_type         (Optional) Dimensions rounding. Defaults to @ref DimensionRoundingType::FLOOR
      */
     explicit Pooling3dLayerInfo(PoolingType           pool_type,
                                 Size3D                pool_size,
diff --git a/arm_compute/core/utils/quantization/AsymmHelpers.h b/arm_compute/core/utils/quantization/AsymmHelpers.h
index a9041762f5..a15f3e5cde 100644
--- a/arm_compute/core/utils/quantization/AsymmHelpers.h
+++ b/arm_compute/core/utils/quantization/AsymmHelpers.h
@@ -92,8 +92,6 @@ std::pair<int, int> get_min_max_values_from_quantized_data_type(DataType data_ty
  * @param[in]  output                 Output tensor info.
  * @param[out] output_multipliers_ptr Pointer to the buffer where to store per-channel multipliers.
  * @param[out] output_shifts_ptr      Pointer to the buffer where to store per-channel shifts.
- *
- * @return min and max values for the quantized data type
  */
 void compute_quantized_multipliers_and_shifts(const ITensorInfo *input,
                                               const ITensorInfo *weights,
diff --git a/arm_compute/runtime/CL/functions/CLConvertFullyConnectedWeights.h b/arm_compute/runtime/CL/functions/CLConvertFullyConnectedWeights.h
index 6c7d9e52e8..0a634b5482 100644
--- a/arm_compute/runtime/CL/functions/CLConvertFullyConnectedWeights.h
+++ b/arm_compute/runtime/CL/functions/CLConvertFullyConnectedWeights.h
@@ -1,5 +1,5 @@
 /*
- * Copyright (c) 2018-2021 Arm Limited.
+ * Copyright (c) 2018-2021, 2023 Arm Limited.
  *
  * SPDX-License-Identifier: MIT
  *
@@ -68,8 +68,6 @@ public:
      * @param[out] output               The converted weights tensor. Shape and Data Type: Same as @p input.
      * @param[in]  original_input_shape Shape of the original input tensor (the one entering fully connected layer).
      * @param[in]  data_layout          The data layout the weights have been trained in.
-     *
-     * @return A status
      */
     void configure(const ICLTensor *input, ICLTensor *output, const TensorShape &original_input_shape, DataLayout data_layout);
     /** Initialize the function.
@@ -79,8 +77,6 @@ public:
      * @param[out] output               The converted weights tensor. Shape and Data Type: Same as @p input.
      * @param[in]  original_input_shape Shape of the original input tensor (the one entering fully connected layer).
      * @param[in]  data_layout          The data layout the weights have been trained in.
-     *
-     * @return A status
      */
     void configure(const CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output, const TensorShape &original_input_shape, DataLayout data_layout);
     /** Static function to check if given info will lead to a valid configuration of @ref CLConvertFullyConnectedWeights