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>
diff --git a/arm_compute/core/CL/ICLArray.h b/arm_compute/core/CL/ICLArray.h
index b900117..57f842b 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 @@
* @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 fd05e64..78d3757 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 @@
* @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 8c971d7..d9c89f8 100644
--- a/arm_compute/core/Types.h
+++ b/arm_compute/core/Types.h
@@ -697,7 +697,7 @@
* @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,
@@ -1356,7 +1356,7 @@
* 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,
@@ -1386,7 +1386,7 @@
* 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 a904176..a15f3e5 100644
--- a/arm_compute/core/utils/quantization/AsymmHelpers.h
+++ b/arm_compute/core/utils/quantization/AsymmHelpers.h
@@ -92,8 +92,6 @@
* @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 6c7d9e5..0a634b5 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 @@
* @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 @@
* @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
diff --git a/docs/Doxyfile b/docs/Doxyfile
index 641ca4f..3a78cdf 100644
--- a/docs/Doxyfile
+++ b/docs/Doxyfile
@@ -1,4 +1,4 @@
-# Doxyfile 1.8.15
+# Doxyfile 1.8.17
# This file describes the settings to be used by the documentation system
# doxygen (www.doxygen.org) for a project.
diff --git a/src/core/CL/cl_kernels/gemm_helpers.h b/src/core/CL/cl_kernels/gemm_helpers.h
index e4ed47e..0e938cb 100644
--- a/src/core/CL/cl_kernels/gemm_helpers.h
+++ b/src/core/CL/cl_kernels/gemm_helpers.h
@@ -1,5 +1,5 @@
/*
- * Copyright (c) 2019-2021 Arm Limited.
+ * Copyright (c) 2019-2021, 2023 Arm Limited.
*
* SPDX-License-Identifier: MIT
*
@@ -31,7 +31,7 @@
* @param[in] offset The offset within the vector. Offset can only be of the same size of the OpenCL vector (2,3,4,8,16)
* @param[in] n0 The number of consecutive columns to access. n0 + offset must be <= 16
* @param[in] x Vector to access
- * @{
+ *
*/
#define SCALAR_ACCESS_STR(offset, n0, x) scalar_access_##offset##_##n0(x)
#define SCALAR_ACCESS(offset, n0, x) SCALAR_ACCESS_STR(offset, n0, x)
@@ -281,6 +281,7 @@
*/
#define LOAD_TENSOR_M0XN0_STR(M0, N0, DATA_TYPE, BASENAME, PTR, STRIDE_Y, Z) LOAD_TENSOR_M0X##N0(M0, N0, DATA_TYPE, BASENAME, PTR, STRIDE_Y, Z)
#define LOAD_TENSOR_M0XN0(M0, N0, DATA_TYPE, BASENAME, PTR, STRIDE_Y, Z) LOAD_TENSOR_M0XN0_STR(M0, N0, DATA_TYPE, BASENAME, PTR, STRIDE_Y, Z)
+/** @}*/ // end of group LOAD_TENSOR_M0XN0
/** Loads the rows from 0 to n-1 in the given variables (BASENAME0 to BASENAMEn-1).
* @name LOAD_ROW_n
@@ -492,7 +493,7 @@
LOAD_ROW_PARTIAL_15(N0, LOAD_N0, DATA_TYPE, BASENAME, PTR, OFFSET, STRIDE_Y, Z) \
VLOAD_PARTIAL(N0, LOAD_N0) \
(BASENAME##F, 0, (__global DATA_TYPE *)(PTR + OFFSET + 15 * STRIDE_Y + Z##F));
-/** @} */ // end of groupd LOAD_ROW_PARTIAL_n
+/** @} */ // end of group LOAD_ROW_PARTIAL_n
/** Partially load a block of the given size LOAD_M0xLOAD_N0
* @name LOAD_BLOCK_PARTIAL
@@ -697,6 +698,7 @@
LOAD_BLOCK_PARTIAL_IN_X_AND_Y(M0, N0, DATA_TYPE, BASENAME, PTR, OFFSET, STRIDE_Y, Z, PARTIAL_STORE_M0, PARTIAL_STORE_N0, PARTIAL_COND_Y, PARTIAL_COND_X)
#endif // PARTIAL_STORE_M0 == 0 && PARTIAL_STORE_N0 == 0
+/** @} */ // end of group LOAD_BLOCK_BOUNDARY_AWARE
/** Loads the rows from 0 to n-1 in the given variables (BASENAME0 to BASENAMEn-1).
* @name LOAD_TEXTURE2D_ROW_n
@@ -952,6 +954,7 @@
BASENAME##F = VLOAD(N0)(0, (__global DATA_TYPE *)(PTR + OFFSET + Y##F * STRIDE_Y)); \
else \
BASENAME##F = 0;
+/** @} */ // end of group LOAD_ROW_INDIRECT_n
/** Load blocks (consecutive rows and columns) with Y offset.
* @name LOAD_BLOCK_INDIRECT
@@ -975,6 +978,7 @@
*/
#define LOAD_BLOCK_INDIRECT_STR(M0, N0, DATA_TYPE, BASENAME, PTR, OFFSET, STRIDE_Y, Y, Y_MASK) LOAD_ROW_INDIRECT_##M0(N0, DATA_TYPE, BASENAME, PTR, OFFSET, STRIDE_Y, Y, Y_MASK)
#define LOAD_BLOCK_INDIRECT(M0, N0, DATA_TYPE, BASENAME, PTR, OFFSET, STRIDE_Y, Y, Y_MASK) LOAD_BLOCK_INDIRECT_STR(M0, N0, DATA_TYPE, BASENAME, PTR, OFFSET, STRIDE_Y, Y, Y_MASK)
+/** @} */ // end of group LOAD_BLOCK_INDIRECT
/** Loads the elements from 0 to n-1 in the given variables (BASENAME0 to BASENAMEn-1).
* @name LOAD_ELEMENT_n
@@ -1328,7 +1332,7 @@
#define COLUMN_VECTOR_SCALAR16(IDX_COL, BASENAME, X, TYPE) \
VEC_DATA_TYPE(TYPE, 16) \
BASENAME##IDX_COL = (VEC_DATA_TYPE(TYPE, 16))((X##0), (X##1), (X##2), (X##3), (X##4), (X##5), (X##6), (X##7), (X##8), (X##9), (X##A), (X##B), (X##C), (X##D), (X##E), (X##F));
-/** @} */ // end of group COLUMN_VECTORn
+/** @} */ // end of group COLUMN_VECTOR_SCALARn
/** Create transposed vectors of the given vectors
* @name TRANSPOSE_K0Xn
@@ -1561,6 +1565,7 @@
#define ADD_ROW_BROADCAST_16(BASENAME, BIAS) \
ADD_ROW_BROADCAST_15(BASENAME, BIAS) \
BASENAME##F += BIAS;
+/** @} */ // end of group ADD_ROW_BROADCAST_n
/** Broadcast (add a value) to the each element of the destination block (BASENAME)
* @name ADD_BLOCK_BROADCAST
@@ -1674,6 +1679,7 @@
* @param[in] DATA_TYPE The data type of the vectors
* @param[in] BASENAME_SRC The basename of the source variables
* @param[in] BASENAME_DST The basename of the destination variables
+ * @{
*/
#define CONVERT_ROW_1(N, DATA_TYPE, BASENAME_SRC, BASENAME_DST) \
VEC_DATA_TYPE(DATA_TYPE, N) \
@@ -1765,7 +1771,8 @@
* @param[in] DATA_TYPE The data type of the vectors
* @param[in] BASENAME_SRC The basename of the source variables
* @param[in] BASENAME_DST The basename of the destination variables
+ * @{
*/
#define CONVERT_BLOCK_STR(M, N, DATA_TYPE, BASENAME_SRC, BASENAME_DST) CONVERT_ROW_##M(N, DATA_TYPE, BASENAME_SRC, BASENAME_DST)
#define CONVERT_BLOCK(M, N, DATA_TYPE, BASENAME_SRC, BASENAME_DST) CONVERT_BLOCK_STR(M, N, DATA_TYPE, BASENAME_SRC, BASENAME_DST)
-/** @} */ // end of group CONVERT_BLOCK
\ No newline at end of file
+/** @} */ // end of group CONVERT_BLOCK
diff --git a/src/core/CL/cl_kernels/helpers.h b/src/core/CL/cl_kernels/helpers.h
index c5d94cc..e0fd8dc 100644
--- a/src/core/CL/cl_kernels/helpers.h
+++ b/src/core/CL/cl_kernels/helpers.h
@@ -463,6 +463,7 @@
*/
#define READ_IMAGE2D_STR(data_type, n0, img, x_coord, y_coord) read_image2d_##data_type##x##n0(img, x_coord, y_coord)
#define READ_IMAGE2D(data_type, n0, img, x_coord, y_coord) READ_IMAGE2D_STR(data_type, n0, img, x_coord, y_coord)
+/** @} */
/** Utility macro to write a 2D OpenCL image object.
*
@@ -479,6 +480,7 @@
*/
#define WRITE_IMAGE2D_STR(data_type, n0, img, x_coord, y_coord, values) write_image2d_##data_type##x##n0(img, x_coord, y_coord, values)
#define WRITE_IMAGE2D(data_type, n0, img, x_coord, y_coord, values) WRITE_IMAGE2D_STR(data_type, n0, img, x_coord, y_coord, values)
+/** @} */
#define VSTORE_STR(size) vstore##size
#define VSTORE(size) VSTORE_STR(size)
diff --git a/src/core/CL/cl_kernels/load_store_utility.h b/src/core/CL/cl_kernels/load_store_utility.h
index 56b1538..4ba2b2c 100644
--- a/src/core/CL/cl_kernels/load_store_utility.h
+++ b/src/core/CL/cl_kernels/load_store_utility.h
@@ -1,5 +1,5 @@
/*
- * Copyright (c) 2020 Arm Limited.
+ * Copyright (c) 2020, 2023 Arm Limited.
*
* SPDX-License-Identifier: MIT
*
@@ -463,8 +463,6 @@
}
/** @} */ // end of group STORE_BLOCK_PARTIAL
-#if defined(PARTIAL_STORE_M0) && defined(PARTIAL_STORE_N0)
-
/** Boundary-aware GEMM block store
* @name STORE_BLOCK_BOUNDARY_AWARE
* This macro assumes the following schemes to achieve boundary-awareness:
@@ -516,6 +514,7 @@
* @param[in] PARTIAL_COND_X Condition on the x axis to perform the partial store X. True to use PARTIAL_STORE_N0 rather than N0.
* @{
*/
+#if defined(PARTIAL_STORE_M0) && defined(PARTIAL_STORE_N0)
#if PARTIAL_STORE_M0 == 0 && PARTIAL_STORE_N0 == 0
// Case1: No partial blocks in either x or y
#define STORE_BLOCK_BOUNDARY_AWARE(M0, N0, DATA_TYPE, BASENAME, PTR, STRIDE_Y, Z, PARTIAL_STORE_M0, PARTIAL_STORE_N0, PARTIAL_COND_Y, PARTIAL_COND_X) \
@@ -541,7 +540,6 @@
#endif // defined(PARTIAL_STORE_M0) && defined(PARTIAL_STORE_N0)
/** @} */ // end of group STORE_BLOCK_BOUNDARY_AWARE
-#if defined(PARTIAL_STORE_M0)
/** Compute the start m0 row (LHS, BIAS and DST) in a boundary-aware way so as to avoid padding
* @name COMPUTE_M0_START_ROW
* If there're any partial blocks in y dimension, they are placed at the beginning of the rows.
@@ -558,6 +556,7 @@
* @param[in] PARTIAL_STORE_M0 The partial size in y, for partial blocks. Supported: [0, @p M0)
* @{
*/
+#if defined(PARTIAL_STORE_M0)
#define COMPUTE_M0_START_ROW(y, M0, PARTIAL_STORE_M0) \
((uint)(max(0, (int)(y * M0) - (int)((M0 - PARTIAL_STORE_M0) % M0))))
#else // defined(PARTIAL_STORE_M0)
@@ -567,7 +566,7 @@
/** @} */ // end of group COMPUTE_M0_START_ROW
/** Store a vector that can only be partial in x.
- *
+ * @name STORE_VECTOR_SELECT
* @note in case @p vec_size or @p leftover != 1, 2, 3, 4, 8, 16, extra vstore(s) will be invoked, thus incurring small performance penalty.
*
* The data to store is expected to end in a 0.
@@ -583,4 +582,4 @@
*/
#define STORE_VECTOR_SELECT(basename, data_type, ptr, vec_size, leftover, cond) \
STORE_BLOCK_PARTIAL_IN_X(1, vec_size, data_type, basename, ptr, 0, 0, leftover, cond)
-/** @} */ // end of group STORE_VECTOR_SELECT
\ No newline at end of file
+/** @} */ // end of group STORE_VECTOR_SELECT
diff --git a/src/core/NEON/NEAsymm.h b/src/core/NEON/NEAsymm.h
index 5b8d2be..e6d0e53 100644
--- a/src/core/NEON/NEAsymm.h
+++ b/src/core/NEON/NEAsymm.h
@@ -52,7 +52,8 @@
*
* @return A 16-component vector in QASYMM8 format, saturated to fit
*/
-uint8x16_t vmlaq_qasymm8(qasymm8x16_t vd, float32x4_t vs, float32x4_t vo);
+template <RoundingPolicy round_policy = RoundingPolicy::TO_ZERO>
+qasymm8x16_t vmlaq_qasymm8(qasymm8x16_t vd, float32x4_t vs, float32x4_t vo);
/** Perform a multiply-accumulate on all 16 components of a QASYMM8_SIGNED vector
*
@@ -64,7 +65,8 @@
*
* @return A 16-component vector in QASYMM8_SIGNED format, saturated to fit
*/
-int8x16_t vmlaq_qasymm8_signed(qasymm8x16_signed_t vd, float32x4_t vs, float32x4_t vo);
+template <RoundingPolicy round_policy = RoundingPolicy::TO_ZERO>
+qasymm8x16_signed_t vmlaq_qasymm8_signed(qasymm8x16_signed_t vd, float32x4_t vs, float32x4_t vo);
/** Performs final quantization step on 16 elements
*
@@ -716,11 +718,6 @@
return { pa, pb };
}
-template <RoundingPolicy round_policy = RoundingPolicy::TO_ZERO>
-qasymm8x16_signed_t vmlaq_qasymm8(qasymm8x16_signed_t vd, float32x4_t vs, float32x4_t vo);
-
-template <RoundingPolicy round_policy = RoundingPolicy::TO_ZERO>
-qasymm8x16_signed_t vmlaq_qasymm8_signed(qasymm8x16_signed_t vd, float32x4_t vs, float32x4_t vo);
} // namespace arm_compute
#include "src/core/NEON/NEAsymm.inl"
#endif // ARM_COMPUTE_NEASYMM_H
diff --git a/src/core/NEON/kernels/arm_conv/depthwise/depthwise_implementation.hpp b/src/core/NEON/kernels/arm_conv/depthwise/depthwise_implementation.hpp
index 0f91fe3..82821af 100644
--- a/src/core/NEON/kernels/arm_conv/depthwise/depthwise_implementation.hpp
+++ b/src/core/NEON/kernels/arm_conv/depthwise/depthwise_implementation.hpp
@@ -1,5 +1,5 @@
/*
- * Copyright (c) 2021-2022 Arm Limited.
+ * Copyright (c) 2021-2023 Arm Limited.
*
* SPDX-License-Identifier: MIT
*
@@ -61,6 +61,9 @@
}
};
+/**
+ * \relates DepthwiseImplementation
+ */
template <typename TInput, typename TWeight = TInput, typename TOutput = TInput, class OutputStage = Nothing>
const DepthwiseImplementation<TInput, TWeight, TOutput, OutputStage> *depthwise_implementation_list();
diff --git a/src/core/NEON/kernels/arm_conv/pooling/pooling_implementation.hpp b/src/core/NEON/kernels/arm_conv/pooling/pooling_implementation.hpp
index 78320ce..235aa1b 100644
--- a/src/core/NEON/kernels/arm_conv/pooling/pooling_implementation.hpp
+++ b/src/core/NEON/kernels/arm_conv/pooling/pooling_implementation.hpp
@@ -1,5 +1,5 @@
/*
- * Copyright (c) 2021-2022 Arm Limited.
+ * Copyright (c) 2021-2023 Arm Limited.
*
* SPDX-License-Identifier: MIT
*
@@ -57,6 +57,9 @@
}
};
+/**
+ * \relates PoolingImplementation
+ */
template <typename TInput, typename TOutput, class OutputStage = Nothing>
const PoolingImplementation<TInput, TOutput, OutputStage> *pooling_implementation_list();
diff --git a/tests/framework/Framework.h b/tests/framework/Framework.h
index 72ec748..2dded30 100644
--- a/tests/framework/Framework.h
+++ b/tests/framework/Framework.h
@@ -65,7 +65,7 @@
LogLevel log_level{ LogLevel::NONE }; /**< Verbosity of the output. */
bool configure_only{ false }; /**< Only configure kernels */
bool print_rerun_cmd{ false }; /**< Print the command to rerun the failed testcase */
- unsigned int seed{0}; /**< The seed that is used to fill tensors with random values.*/
+ unsigned int seed{ 0 }; /**< The seed that is used to fill tensors with random values.*/
};
/** Information about a test case.
@@ -123,8 +123,6 @@
* registering test cases.
*
* @param[in] name Name of the added test suite.
- *
- * @return Name of the current test suite.
*/
void push_suite(std::string name);
@@ -361,7 +359,7 @@
bool _configure_only{ false };
bool _new_fixture_call{ false };
bool _print_rerun_cmd{ false };
- unsigned int _seed {0};
+ unsigned int _seed{ 0 };
using create_function = std::unique_ptr<Instrument>();
std::map<InstrumentsDescription, create_function *> _available_instruments{};
diff --git a/tests/validate_examples/graph_validate_utils.h b/tests/validate_examples/graph_validate_utils.h
index 0921fbf..91d6248 100644
--- a/tests/validate_examples/graph_validate_utils.h
+++ b/tests/validate_examples/graph_validate_utils.h
@@ -1,5 +1,5 @@
/*
- * Copyright (c) 2019-2020 Arm Limited.
+ * Copyright (c) 2019-2020, 2023 Arm Limited.
*
* SPDX-License-Identifier: MIT
*
@@ -309,8 +309,6 @@
*
* @param[in] options Options to consume
* @param[out] common_params params structure to consume.
- *
- * @return consume_common_graph_parameters structure containing the common graph parameters
*/
void consume_common_graph_parameters(CommonGraphValidateOptions &options, CommonParams &common_params)
{
@@ -445,8 +443,6 @@
* @param[in] seed seed for the randomization function
* @param[in] low lower bound for random values
* @param[in] high upper bound for random values
- *
- * @return None.
*/
void fill_tensor(arm_compute::test::SimpleTensor<uint8_t> &tensor, std::random_device::result_type seed, uint8_t low, uint8_t high)
{
@@ -473,8 +469,6 @@
* @param[in] seed seed for the randomization function
* @param[in] low lower bound for random values
* @param[in] high upper bound for random values
- *
- * @return None.
*/
void fill_tensor(arm_compute::test::SimpleTensor<int32_t> &tensor, std::random_device::result_type seed, int32_t low, int32_t high)
{
@@ -494,8 +488,6 @@
* @param[in] seed seed for the randomization function
* @param[in] low lower bound for random values
* @param[in] high upper bound for random values
- *
- * @return None.
*/
void fill_tensor(arm_compute::test::SimpleTensor<float> &tensor, std::random_device::result_type seed, float low, float high)
{
@@ -516,8 +508,6 @@
* @param[in] seed seed for the randomization function
* @param[in] low lower bound for random values
* @param[in] high upper bound for random values
- *
- * @return None.
*/
void fill_tensor(arm_compute::test::SimpleTensor<half> &tensor, std::random_device::result_type seed, half low, half high)
{
@@ -559,8 +549,6 @@
*
* @param[in] tensor Tensor result of the actual operation passed into the Accessor.
* @param[in] output Tensor result of the reference implementation.
- *
- * @return None.
*/
void validate(ITensor &tensor, arm_compute::test::SimpleTensor<D> output)
{
diff --git a/tests/validation/Helpers.h b/tests/validation/Helpers.h
index 2cbfaa0..3dd0a6f 100644
--- a/tests/validation/Helpers.h
+++ b/tests/validation/Helpers.h
@@ -143,6 +143,7 @@
* @param[in] src Float tensor.
* @param[in] quantization_info Quantification information.
*
+ * \relates arm_compute::test::SimpleTensor
* @return Quantized tensor.
*/
template <typename T>
@@ -161,7 +162,7 @@
*
* @param[in] src Float tensor.
* @param[in] quantization_info Quantification information.
- *
+ * \relates arm_compute::test::SimpleTensor
* @return Quantized tensor.
*/
template <typename T>