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| author | Michalis Spyrou <michalis.spyrou@arm.com> | 2018-01-29 13:43:35 +0000 |
|---|---|---|
| committer | Anthony Barbier <anthony.barbier@arm.com> | 2018-11-02 16:47:40 +0000 |
| commit | 995f55252dfaaa5b64075b96272ae11e23d6ca9b (patch) | |
| tree | 4d7b246645f9dcd1ca5ae5a39f581d55abf600a3 /arm_compute/core/CL/kernels/CLQuantizationLayerKernel.h | |
| parent | 8913d8d7bc83fdcb6c5dc9baca6bb369418de48b (diff) | |
| download | ComputeLibrary-995f55252dfaaa5b64075b96272ae11e23d6ca9b.tar.gz | |
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>
Diffstat (limited to 'arm_compute/core/CL/kernels/CLQuantizationLayerKernel.h')
| -rw-r--r-- | arm_compute/core/CL/kernels/CLQuantizationLayerKernel.h | 6 |
1 files changed, 3 insertions, 3 deletions
diff --git a/arm_compute/core/CL/kernels/CLQuantizationLayerKernel.h b/arm_compute/core/CL/kernels/CLQuantizationLayerKernel.h index 13092400c7..a24ddb1a3a 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 @@ public: ~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. */ |