From afbc5ffb0b567ae93fa2765066bd136d72be88ff Mon Sep 17 00:00:00 2001
From: Michalis Spyrou <michalis.spyrou@arm.com>
Date: Wed, 3 Oct 2018 14:18:19 +0100
Subject: COMPMID-1621 Deconvolution wrong output calculation

Change-Id: Ida71312bcf6dbd854f2ab1efc65f74910c79e152
Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/151510
Tested-by: bsgcomp <bsgcomp@arm.com>
Reviewed-by: Michele DiGiorgio <michele.digiorgio@arm.com>
---
 arm_compute/core/Utils.h | 20 +++++++++-----------
 1 file changed, 9 insertions(+), 11 deletions(-)

(limited to 'arm_compute/core/Utils.h')

diff --git a/arm_compute/core/Utils.h b/arm_compute/core/Utils.h
index c742ebc50e..7ee24e2736 100644
--- a/arm_compute/core/Utils.h
+++ b/arm_compute/core/Utils.h
@@ -827,22 +827,20 @@ TensorShape deconvolution_output_shape(const std::pair<unsigned int, unsigned in
 
 /** Returns expected width and height of the deconvolution's output tensor.
  *
- * @param[in] in_width           Width of input tensor (Number of columns)
- * @param[in] in_height          Height of input tensor (Number of rows)
- * @param[in] kernel_width       Kernel width.
- * @param[in] kernel_height      Kernel height.
- * @param[in] padx               X axis padding.
- * @param[in] pady               Y axis padding.
- * @param[in] inner_border_right The number of zeros added to right edge of the input.
- * @param[in] inner_border_top   The number of zeros added to top edge of the input.
- * @param[in] stride_x           X axis input stride.
- * @param[in] stride_y           Y axis input stride.
+ * @param[in] in_width      Width of input tensor (Number of columns)
+ * @param[in] in_height     Height of input tensor (Number of rows)
+ * @param[in] kernel_width  Kernel width.
+ * @param[in] kernel_height Kernel height.
+ * @param[in] padx          X axis padding.
+ * @param[in] pady          Y axis padding.
+ * @param[in] stride_x      X axis input stride.
+ * @param[in] stride_y      Y axis input stride.
  *
  * @return A pair with the new width in the first position and the new height in the second.
  */
 const std::pair<unsigned int, unsigned int> deconvolution_output_dimensions(unsigned int in_width, unsigned int in_height,
                                                                             unsigned int kernel_width, unsigned int kernel_height,
-                                                                            unsigned int padx, unsigned int pady, unsigned int inner_border_right, unsigned int inner_border_top,
+                                                                            unsigned int padx, unsigned int pady,
                                                                             unsigned int stride_x, unsigned int stride_y);
 
 /** Returns expected width and height of output scaled tensor depending on dimensions rounding mode.
-- 
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