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authorGiuseppe Rossini <giuseppe.rossini@arm.com>2019-02-15 10:24:47 +0000
committerGeorgios Pinitas <georgios.pinitas@arm.com>2019-02-15 14:57:41 +0000
commit3b47b749d4d6e231abaa6f9bf39bea1635e0d074 (patch)
tree96c146098dcf9e1da4248119dab24d763eddfbdd /src/core/CL/cl_kernels/bounding_box_transform.cl
parent34d5eb6d51217d4ef6592f9925e024cd9970f238 (diff)
downloadComputeLibrary-3b47b749d4d6e231abaa6f9bf39bea1635e0d074.tar.gz
Revert "COMPMID-1329: Add support for GenerateProposals operator in CL"
This reverts commit cd96a26f67bfbb9b0efe6e0e2b229d0b46b4e3e6. Change-Id: I1d46f37095c94968ad4f3b781269adaa03e2e410 Signed-off-by: giuros01 <giuseppe.rossini@arm.com> Reviewed-on: https://review.mlplatform.org/706 Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>
Diffstat (limited to 'src/core/CL/cl_kernels/bounding_box_transform.cl')
-rw-r--r--src/core/CL/cl_kernels/bounding_box_transform.cl6
1 files changed, 3 insertions, 3 deletions
diff --git a/src/core/CL/cl_kernels/bounding_box_transform.cl b/src/core/CL/cl_kernels/bounding_box_transform.cl
index 097235549b..77db5d9311 100644
--- a/src/core/CL/cl_kernels/bounding_box_transform.cl
+++ b/src/core/CL/cl_kernels/bounding_box_transform.cl
@@ -1,5 +1,5 @@
/*
- * Copyright (c) 2018 ARM Limited.
+ * Copyright (c) 2018-2019 ARM Limited.
*
* SPDX-License-Identifier: MIT
*
@@ -28,11 +28,11 @@
/** Perform a padded copy of input tensor to the output tensor. Padding values are defined at compile time
*
* @attention The following variables must be passed at compile time:
- * -# -DDATA_TYPE= Tensor data type. Supported data types: F16/F32
+ * -# -DDATA_TYPE = Tensor data type. Supported data types: F16/F32
* -# -DWEIGHT{X,Y,W,H}= Weights [wx, wy, ww, wh] for the deltas
* -# -DIMG_WIDTH= Original image width
* -# -DIMG_HEIGHT= Original image height
- * -# -DBOX_FIELDS= Number of fields that are used to represent a box in boxes
+ * -# -DBOX_FIELDS=Number of fields that are used to represent a box in boxes
*
* @param[in] boxes_ptr Pointer to the boxes tensor. Supported data types: F16/F32
* @param[in] boxes_stride_x Stride of the boxes tensor in X dimension (in bytes)