24.02.1
CLNormalizePlanarYUVLayer.h
Go to the documentation of this file.
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/*
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* Copyright (c) 2018-2020, 2023 Arm Limited.
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*
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* SPDX-License-Identifier: MIT
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*
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* Permission is hereby granted, free of charge, to any person obtaining a copy
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* of this software and associated documentation files (the "Software"), to
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* deal in the Software without restriction, including without limitation the
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* rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
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* sell copies of the Software, and to permit persons to whom the Software is
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* furnished to do so, subject to the following conditions:
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*
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* The above copyright notice and this permission notice shall be included in all
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* copies or substantial portions of the Software.
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*
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* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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* SOFTWARE.
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*/
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#ifndef ACL_ARM_COMPUTE_RUNTIME_CL_FUNCTIONS_CLNORMALIZEPLANARYUVLAYER_H
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#define ACL_ARM_COMPUTE_RUNTIME_CL_FUNCTIONS_CLNORMALIZEPLANARYUVLAYER_H
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#include "
arm_compute/core/Types.h
"
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#include "
arm_compute/runtime/CL/ICLSimpleFunction.h
"
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#include <cstdint>
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namespace
arm_compute
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{
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class
CLCompileContext;
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class
ICLTensor;
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class
ITensorInfo;
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/** Basic function to run @ref CLNormalizePlanarYUVLayerKernel
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*
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* @note The function simulates a NormalizePlanarYUV layer.
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*/
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class
CLNormalizePlanarYUVLayer
:
public
ICLSimpleFunction
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{
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public
:
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/** Set the input and output tensors.
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*
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* Valid data layouts:
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* - NHWC
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* - NCHW
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*
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* Valid data type configurations:
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* |src |dst |
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* |:--------------|:--------------|
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* |F32 |F32 |
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* |F16 |F16 |
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* |QASYMM8 |QASYMM8 |
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* |QASYMM8_SIGNED |QASYMM8_SIGNED |
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*
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* @param[in] input Source tensor. 3 lower dimensions represent a single input with dimensions [width, height, channels].
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* Data types supported: QASYMM8/QASYMM8_SIGNED/F16/F32.
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* @param[out] output Destinationfeature tensor. Data type supported: same as @p input
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* @param[in] mean Mean values tensor. 1 dimension with size equal to the number of input channels. Data types supported: Same as @p input
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* @param[in] std Standard deviation values tensor. 1 dimension with size equal to the number of input channels.
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* Data types supported: Same as @p input
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*/
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void
configure
(
const
ICLTensor
*
input
,
ICLTensor
*output,
const
ICLTensor
*mean,
const
ICLTensor
*std);
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/** Set the input and output tensors.
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*
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* @param[in] compile_context The compile context to be used.
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* @param[in] input Source tensor. 3 lower dimensions represent a single input with dimensions [width, height, channels].
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* Data types supported: QASYMM8/QASYMM8_SIGNED/F16/F32.
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* @param[out] output Destinationfeature tensor. Data type supported: same as @p input
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* @param[in] mean Mean values tensor. 1 dimension with size equal to the number of input channels. Data types supported: Same as @p input
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* @param[in] std Standard deviation values tensor. 1 dimension with size equal to the number of input channels.
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* Data types supported: Same as @p input
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*/
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void
configure
(
const
CLCompileContext
&compile_context,
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const
ICLTensor
*
input
,
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ICLTensor
*output,
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const
ICLTensor
*mean,
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const
ICLTensor
*std);
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/** Static function to check if given info will lead to a valid configuration of @ref CLNormalizePlanarYUVLayer
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*
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* @param[in] input Source tensor info. 3 lower dimensions represent a single input with dimensions [width, height, channels].
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* Data types supported: QASYMM8/QASYMM8_SIGNED/F16/F32.
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* @param[out] output Destination tensor info. Data type supported: same as @p input
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* @param[in] mean Mean values tensor info. 1 dimension with size equal to the number of input channels. Data types supported: Same as @p input
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* @param[in] std Standard deviation values tensor info. 1 dimension with size equal to the number of input channels.
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* Data types supported: Same as @p input
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*
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* @return a status
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*/
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static
Status
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validate
(
const
ITensorInfo
*
input
,
const
ITensorInfo
*output,
const
ITensorInfo
*mean,
const
ITensorInfo
*std);
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};
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}
// namespace arm_compute
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#endif // ACL_ARM_COMPUTE_RUNTIME_CL_FUNCTIONS_CLNORMALIZEPLANARYUVLAYER_H
arm_compute::CLNormalizePlanarYUVLayer
Basic function to run CLNormalizePlanarYUVLayerKernel.
Definition:
CLNormalizePlanarYUVLayer.h:42
Types.h
arm_compute::ICLTensor
Interface for OpenCL tensor.
Definition:
ICLTensor.h:41
ICLSimpleFunction.h
arm_compute::CLCompileContext
CLCompileContext class.
Definition:
CLCompileContext.h:204
arm_compute::ICLSimpleFunction
Basic interface for functions which have a single OpenCL kernel.
Definition:
ICLSimpleFunction.h:39
arm_compute::Status
Status class.
Definition:
Error.h:52
arm_compute::CLNormalizePlanarYUVLayer::validate
static Status validate(const ITensorInfo *input, const ITensorInfo *output, const ITensorInfo *mean, const ITensorInfo *std)
Static function to check if given info will lead to a valid configuration of CLNormalizePlanarYUVLaye...
Definition:
CLNormalizePlanarYUVLayer.cpp:54
arm_compute
Copyright (c) 2017-2024 Arm Limited.
Definition:
introduction.dox:24
arm_compute::ITensorInfo
Store the tensor's metadata.
Definition:
ITensorInfo.h:44
arm_compute::CLNormalizePlanarYUVLayer::configure
void configure(const ICLTensor *input, ICLTensor *output, const ICLTensor *mean, const ICLTensor *std)
Set the input and output tensors.
Definition:
CLNormalizePlanarYUVLayer.cpp:34
arm_compute::test::validation::input
auto input
Definition:
LSTMLayerQuantized.cpp:486
arm_compute
runtime
CL
functions
CLNormalizePlanarYUVLayer.h
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