COMPMID-556 Improved indentation and error handling in format_doxygen.py

Change-Id: I6f51ffe6c324d9da500716b52c97c344f2a2a164
Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/110486
Tested-by: BSG Visual Compute Jenkins server to access repositories on http://mpd-gerrit.cambridge.arm.com <bsgcomp@arm.com>
Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>

1 files changed, 17 insertions, 17 deletions

diff --git a/arm_compute/core/NEON/kernels/NEGEMMLowpQuantizeDownInt32ToUint8ScaleKernel.h b/arm_compute/core/NEON/kernels/NEGEMMLowpQuantizeDownInt32ToUint8ScaleKernel.h
index 654dee21af..7684350c0f 100644
--- a/arm_compute/core/NEON/kernels/NEGEMMLowpQuantizeDownInt32ToUint8ScaleKernel.h
+++ b/arm_compute/core/NEON/kernels/NEGEMMLowpQuantizeDownInt32ToUint8ScaleKernel.h
@@ -58,27 +58,27 @@ public:
     NEGEMMLowpQuantizeDownInt32ToUint8ScaleKernel &operator=(NEGEMMLowpQuantizeDownInt32ToUint8ScaleKernel &&) = default;
     /** Initialise the kernel's input and output.
      *
-    * @param[in]  input           Input tensor. Data type supported: S32
-    * @param[in]  bias            Biases tensor. Only shared biases supported and it can be a nullptr if the biases addition is not required.
-    *                             Biases are 1D tensor with dimensions [OFM]. Data type supported: Same as @p input.
-    * @param[out] output          Output tensor. Data type supported: Data type supported: QASYMM8
-    * @param[in]  result_offset   Offset to be added to each element of the input matrix
-    * @param[in]  result_mult_int Value to be multiplied to each element of the input matrix when once the result_offset has been add
-    * @param[in]  result_shift    Number of bits to shift right the result before converting back to QASYMM8
-    * @param[in]  min             (Optional) Min value used to saturate down the output result before converting back to QASYMM8
-    * @param[in]  max             (Optional) Max value used to saturate up the output result before converting back to QASYMM8,
-    *                             Along with @p min, this value can be used to implement "rectified linear unit" activation functions
+     * @param[in]  input           Input tensor. Data type supported: S32
+     * @param[in]  bias            Biases tensor. Only shared biases supported and it can be a nullptr if the biases addition is not required.
+     *                             Biases are 1D tensor with dimensions [OFM]. Data type supported: Same as @p input.
+     * @param[out] output          Output tensor. Data type supported: Data type supported: QASYMM8
+     * @param[in]  result_offset   Offset to be added to each element of the input matrix
+     * @param[in]  result_mult_int Value to be multiplied to each element of the input matrix when once the result_offset has been add
+     * @param[in]  result_shift    Number of bits to shift right the result before converting back to QASYMM8
+     * @param[in]  min             (Optional) Min value used to saturate down the output result before converting back to QASYMM8
+     * @param[in]  max             (Optional) Max value used to saturate up the output result before converting back to QASYMM8,
+     *                             Along with @p min, this value can be used to implement "rectified linear unit" activation functions
      */
     void configure(const ITensor *input, const ITensor *bias, ITensor *output, int result_offset, int result_mult_int, int result_shift, int min = 0, int max = 0);
     /** Static function to check if given info will lead to a valid configuration of @ref NEGEMMLowpQuantizeDownInt32ToUint8ScaleKernel
      *
-    * @param[in] input  Input tensor. Data type supported: S32
-    * @param[in] bias   Biases tensor. Only shared biases supported and it can be a nullptr if the biases addition is not required.
-    *                   Biases are 1D tensor with dimensions [OFM]. Data type supported: Same as @p input.
-    * @param[in] output Output tensor. Data type supported: Data type supported: QASYMM8
-    * @param[in] min    (Optional) Min value used to saturate down the output result before converting back to QASYMM8
-    * @param[in] max    (Optional) Max value used to saturate up the output result before converting back to QASYMM8,
-    *                   Along with @p min, this value can be used to implement "rectified linear unit" activation functions
+     * @param[in] input  Input tensor. Data type supported: S32
+     * @param[in] bias   Biases tensor. Only shared biases supported and it can be a nullptr if the biases addition is not required.
+     *                   Biases are 1D tensor with dimensions [OFM]. Data type supported: Same as @p input.
+     * @param[in] output Output tensor. Data type supported: Data type supported: QASYMM8
+     * @param[in] min    (Optional) Min value used to saturate down the output result before converting back to QASYMM8
+     * @param[in] max    (Optional) Max value used to saturate up the output result before converting back to QASYMM8,
+     *                   Along with @p min, this value can be used to implement "rectified linear unit" activation functions
      */
     static Error validate(const ITensorInfo *input, const ITensorInfo *bias, const ITensorInfo *output, int min = 0, int max = 0);