COMPMID-1934: Doxygen online documentation errors on Firefox

Change-Id: I669d57380d95760399cd7fd28c58d0e636d706dd
Signed-off-by: Manuel Bottini <manuel.bottini@arm.com>
Reviewed-on: https://review.mlplatform.org/647
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Pablo Marquez <pablo.tello@arm.com>

5 files changed, 13 insertions, 10 deletions

diff --git a/arm_compute/core/CL/kernels/CLDirectConvolutionLayerOutputStageKernel.h b/arm_compute/core/CL/kernels/CLDirectConvolutionLayerOutputStageKernel.h
index d90a2cf4b8..80bc012d9f 100644
--- a/arm_compute/core/CL/kernels/CLDirectConvolutionLayerOutputStageKernel.h
+++ b/arm_compute/core/CL/kernels/CLDirectConvolutionLayerOutputStageKernel.h
@@ -1,5 +1,5 @@
 /*
- * Copyright (c) 2018 ARM Limited.
+ * Copyright (c) 2018-2019 ARM Limited.
  *
  * SPDX-License-Identifier: MIT
  *
@@ -31,7 +31,10 @@ namespace arm_compute
 class ITensor;
 /** OpenCL kernel to accumulate the biases, if provided, or downscale in case of quantized input.
  *
+ * @deprecated This kernel is deprecated and will be removed in release 19.05
+ *
  * @note We assume bias to be shared
+ *
  */
 class CLDirectConvolutionLayerOutputStageKernel : public ICLKernel
 {
diff --git a/arm_compute/core/Types.h b/arm_compute/core/Types.h
index 9fbd0ef9fb..1ce44ee2e8 100644
--- a/arm_compute/core/Types.h
+++ b/arm_compute/core/Types.h
@@ -1455,7 +1455,7 @@ public:
         RELU,            /**< Rectifier ( \f$ f(x) = max(0,x) \f$ ) */
         BOUNDED_RELU,    /**< Upper Bounded Rectifier ( \f$ f(x) = min(a, max(0,x)) \f$ ) */
         LU_BOUNDED_RELU, /**< Lower and Upper Bounded Rectifier ( \f$ f(x) = min(a, max(b,x)) \f$ ) */
-        LEAKY_RELU,      /**< Leaky Rectifier ( \f$ f(x)= log(1+e^x) \f$ ) */
+        LEAKY_RELU,      /**< Leaky Rectifier ( \f$ f(x) = \begin{cases}  \alpha x & \quad \text{if } x \text{ < 0}\\  x & \quad \text{if } x \geq \text{ 0 } \end{cases} \f$ ) */
         SOFT_RELU,       /**< Soft Rectifier ( \f$ f(x)= log(1+e^x) \f$ ) */
         ABS,             /**< Absolute ( \f$ f(x)= |x| \f$ ) */
         SQUARE,          /**< Square ( \f$ f(x)= x^2 \f$ )*/
diff --git a/arm_compute/core/Utils.h b/arm_compute/core/Utils.h
index d112259d39..2640264f55 100644
--- a/arm_compute/core/Utils.h
+++ b/arm_compute/core/Utils.h
@@ -634,10 +634,10 @@ inline uint32_t calculate_matrix_scale(const int16_t *matrix, unsigned int matri
 /** Adjust tensor shape size if width or height are odd for a given multi-planar format. No modification is done for other formats.
  *
  * @note Adding here a few links discussing the issue of odd size and sharing the same solution:
- *       Android Source: https://android.googlesource.com/platform/frameworks/base/+/refs/heads/master/graphics/java/android/graphics/YuvImage.java
- *       WebM: https://groups.google.com/a/webmproject.org/forum/#!topic/webm-discuss/LaCKpqiDTXM
- *       libYUV: https://bugs.chromium.org/p/libyuv/issues/detail?id=198&can=1&q=odd%20width
- *       YUVPlayer: https://sourceforge.net/p/raw-yuvplayer/bugs/1/
+ *       <a href="https://android.googlesource.com/platform/frameworks/base/+/refs/heads/master/graphics/java/android/graphics/YuvImage.java">Android Source</a>
+ *       <a href="https://groups.google.com/a/webmproject.org/forum/#!topic/webm-discuss/LaCKpqiDTXM">WebM</a>
+ *       <a href="https://bugs.chromium.org/p/libyuv/issues/detail?id=198&amp;can=1&amp;q=odd%20width">libYUV</a>
+ *       <a href="https://sourceforge.net/p/raw-yuvplayer/bugs/1/">YUVPlayer</a> *
  *
  * @param[in, out] shape  Tensor shape of 2D size
  * @param[in]      format Format of the tensor
diff --git a/arm_compute/runtime/CL/functions/CLDeconvolutionLayer.h b/arm_compute/runtime/CL/functions/CLDeconvolutionLayer.h
index 2963156d11..9c115f8b3d 100644
--- a/arm_compute/runtime/CL/functions/CLDeconvolutionLayer.h
+++ b/arm_compute/runtime/CL/functions/CLDeconvolutionLayer.h
@@ -85,7 +85,7 @@ public:
     CLDeconvolutionLayer &operator=(CLDeconvolutionLayer &&) = default;
     /** Set the input, weights, biases and output tensors.
      *
-     * @note This method will be deprecated in the next release.
+     * @deprecated This method is deprecated and will be removed in release 19.05
      *
      * @param[in,out] input              Input tensor. 3 lower dimensions represent a single input, and an optional 4th dimension for batch of inputs. Data types supported: QASYMM8/F16/F32.
      * @param[in]     weights            The 4d weights with dimensions [width, height, IFM, OFM]. Data type supported: Same as @p input.
@@ -101,7 +101,7 @@ public:
                    unsigned int inner_border_right, unsigned int inner_border_top, const WeightsInfo &weights_info = WeightsInfo());
     /** Static function to check if given info will lead to a valid configuration of @ref CLDeconvolutionLayer
      *
-     * @note This method will be deprecated in the next release.
+     * @deprecated This method is deprecated and will be removed in release 19.05
      *
      * @param[in] input              Input tensor info. 3 lower dimensions represent a single input, and an optional 4th dimension for batch of inputs. Data types supported: QASYMM8/F16/F32.
      * @param[in] weights            The 4d weights info with dimensions [width, height, IFM, OFM]. Data type supported: Same as @p input.
diff --git a/arm_compute/runtime/NEON/functions/NEGEMMLowpAssemblyMatrixMultiplyCore.h b/arm_compute/runtime/NEON/functions/NEGEMMLowpAssemblyMatrixMultiplyCore.h
index 92d0fb320b..38682843b7 100644
--- a/arm_compute/runtime/NEON/functions/NEGEMMLowpAssemblyMatrixMultiplyCore.h
+++ b/arm_compute/runtime/NEON/functions/NEGEMMLowpAssemblyMatrixMultiplyCore.h
@@ -1,5 +1,5 @@
 /*
- * Copyright (c) 2017-2018 ARM Limited.
+ * Copyright (c) 2017-2019 ARM Limited.
  *
  * SPDX-License-Identifier: MIT
  *
@@ -49,7 +49,7 @@ public:
      *
      * @param[in]  a      First input tensor  (Matrix A). Data type supported: U8, S8.
      * @param[in]  b      Second input tensor (Matrix B). Data type supported: same as @p a
-     * @param[out] output Output tensor. Data type supported: Data type supported: S32
+     * @param[out] output Output tensor. Data type supported: Data type supported: U32, S32
      */
     void configure(const ITensor *a, const ITensor *b, ITensor *output);