COMPMID-864 Window::collapse_if_possible() is misused in several CL kernels
Removed unnecessary collapse_if_possible() calls.
Change-Id: I6f3434bc4a26470c4de5bac4e3d90b4b019c2c9c
Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/117993
Reviewed-by: Michalis Spyrou <michalis.spyrou@arm.com>
Tested-by: Jenkins <bsgcomp@arm.com>
Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>
diff --git a/arm_compute/core/CL/kernels/CLQuantizationLayerKernel.h b/arm_compute/core/CL/kernels/CLQuantizationLayerKernel.h
index 1309240..a24ddb1 100644
--- a/arm_compute/core/CL/kernels/CLQuantizationLayerKernel.h
+++ b/arm_compute/core/CL/kernels/CLQuantizationLayerKernel.h
@@ -1,5 +1,5 @@
/*
- * Copyright (c) 2017 ARM Limited.
+ * Copyright (c) 2017-2018 ARM Limited.
*
* SPDX-License-Identifier: MIT
*
@@ -51,8 +51,8 @@
~CLQuantizationLayerKernel() = default;
/** Set the input, output, min and max.
*
- * @param[in] input Source tensor. Data types supported: F32.
- * @param[out] output Destination tensor. Data types supported: U8.
+ * @param[in] input Source tensor with at least 3 dimensions. The dimensions over the third will be interpreted as batches. Data types supported: F32.
+ * @param[out] output Destination tensor with the same dimensions of input. Output data type must be U8.
* @param[in] min_max Pointer to the tensor with shape [2, batches] which stores the minimum and maximum value for each 3D input tensor.
* The dimensions over the second must match the batched dimensions of the input tensor. Data type supported: F32.
*/