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>

3 files changed, 34 insertions, 34 deletions

diff --git a/arm_compute/runtime/CL/CLMultiImage.h b/arm_compute/runtime/CL/CLMultiImage.h
index f70929db07..2c2b4709b4 100644
--- a/arm_compute/runtime/CL/CLMultiImage.h
+++ b/arm_compute/runtime/CL/CLMultiImage.h
@@ -44,18 +44,18 @@ public:
     CLMultiImage();
     /** Init the multi-planar image
      *
-     *  @param[in] width  Width of the whole image
-     *  @param[in] height Heigth of the whole image
-     *  @param[in] format Format of the whole image
+     * @param[in] width  Width of the whole image
+     * @param[in] height Heigth of the whole image
+     * @param[in] format Format of the whole image
      */
     void init(unsigned int width, unsigned int height, Format format);
     /** Init the multi-planar image
      *
      * @note Uses conservative padding strategy which fits all kernels.
      *
-     *  @param[in] width  Width of the whole image
-     *  @param[in] height Height of the whole image
-     *  @param[in] format Format of the whole image
+     * @param[in] width  Width of the whole image
+     * @param[in] height Height of the whole image
+     * @param[in] format Format of the whole image
      */
     void init_auto_padding(unsigned int width, unsigned int height, Format format);
     /** Allocated a previously initialised multi image
@@ -73,10 +73,10 @@ public:
 private:
     /** Init the multi-planar image
      *
-     *  @param[in] width        Width of the whole image
-     *  @param[in] height       Height of the whole image
-     *  @param[in] format       Format of the whole image
-     *  @param[in] auto_padding Specifies whether the image uses auto padding
+     * @param[in] width        Width of the whole image
+     * @param[in] height       Height of the whole image
+     * @param[in] format       Format of the whole image
+     * @param[in] auto_padding Specifies whether the image uses auto padding
      */
     void internal_init(unsigned int width, unsigned int height, Format format, bool auto_padding);
 
diff --git a/arm_compute/runtime/CL/functions/CLGEMMLowp.h b/arm_compute/runtime/CL/functions/CLGEMMLowp.h
index 613fcaa7e0..ffd997f6ec 100644
--- a/arm_compute/runtime/CL/functions/CLGEMMLowp.h
+++ b/arm_compute/runtime/CL/functions/CLGEMMLowp.h
@@ -52,26 +52,26 @@ public:
     /** Constructor */
     CLGEMMLowp(std::shared_ptr<IMemoryManager> memory_manager = nullptr);
     /** Initialise the kernel's inputs, output
-    *
-    * @note GEMM_LOWP:  low precision matrix multiply kernel
-    *  This kernel performs the following computation:
-    *
-    *  -# Convert a values from uint8 to int32 and add a_offset to each of them.
-    *  -# Convert b values from uint8 to int32 and add b_offset to each of them.
-    *  -# Compute the int32 matrix product of the resulting a * b.
-    *  -# Add output_offset to each entry of the result.
-    *  -# Multiply each entry of the result and round to the nearest integer
-    *  -# Clamp the resulting int32 values to the [0..255] range and cast to uint8.
-    *
-    * @param[in]  a               First input tensor  (Matrix A). Data types supported: U8.
-    * @param[in]  b               Second input tensor (Matrix B). Data types supported: same as @p a.
-    * @param[out] output          Output tensor. Data types supported: same as @p a.
-    * @param[in]  a_offset        Offset to be added to each element of the matrix A.
-    * @param[in]  b_offset        Offset to be added to each element of the matrix B.
-    * @param[in]  output_offset   Offset to be added to each element of the output matrix
-    * @param[in]  output_mult_int Multiplied with each element of the output matrix
-    * @param[in]  shift           Number of bits to shift right the result.
-    */
+     *
+     * @note GEMM_LOWP:  low precision matrix multiply kernel
+     *  This kernel performs the following computation:
+     *
+     *  -# Convert a values from uint8 to int32 and add a_offset to each of them.
+     *  -# Convert b values from uint8 to int32 and add b_offset to each of them.
+     *  -# Compute the int32 matrix product of the resulting a * b.
+     *  -# Add output_offset to each entry of the result.
+     *  -# Multiply each entry of the result and round to the nearest integer
+     *  -# Clamp the resulting int32 values to the [0..255] range and cast to uint8.
+     *
+     * @param[in]  a               First input tensor  (Matrix A). Data types supported: U8.
+     * @param[in]  b               Second input tensor (Matrix B). Data types supported: same as @p a.
+     * @param[out] output          Output tensor. Data types supported: same as @p a.
+     * @param[in]  a_offset        Offset to be added to each element of the matrix A.
+     * @param[in]  b_offset        Offset to be added to each element of the matrix B.
+     * @param[in]  output_offset   Offset to be added to each element of the output matrix
+     * @param[in]  output_mult_int Multiplied with each element of the output matrix
+     * @param[in]  shift           Number of bits to shift right the result.
+     */
     void configure(const ICLTensor *a, const ICLTensor *b, ICLTensor *output, int32_t a_offset, int32_t b_offset, int32_t output_offset, int32_t output_mult_int, int32_t shift);
 
     // Inherited methods overridden:
diff --git a/arm_compute/runtime/CL/functions/CLIntegralImage.h b/arm_compute/runtime/CL/functions/CLIntegralImage.h
index 25fc549b29..71f6897d1b 100644
--- a/arm_compute/runtime/CL/functions/CLIntegralImage.h
+++ b/arm_compute/runtime/CL/functions/CLIntegralImage.h
@@ -43,10 +43,10 @@ public:
     /** Default Constructor. */
     CLIntegralImage();
     /** Initialise the function's source, destinations and border mode.
-    *
-    * @param[in]  input  Source tensor. Data types supported: U8.
-    * @param[out] output Destination tensor, Data types supported: U32.
-    */
+     *
+     * @param[in]  input  Source tensor. Data types supported: U8.
+     * @param[out] output Destination tensor, Data types supported: U32.
+     */
     void configure(const ICLTensor *input, ICLTensor *output);
 
     // Inherited methods overridden: