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/*
* Copyright (c) 2020 Samsung Electronics Co., Ltd. All Rights Reserved
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
/*
* Copyright (c) 2017-2018 ARM Limited.
*
* SPDX-License-Identifier: MIT
*
* Permission is hereby granted, free of charge, to any person obtaining a copy
* of this software and associated documentation files (the "Software"), to
* deal in the Software without restriction, including without limitation the
* rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
* sell copies of the Software, and to permit persons to whom the Software is
* furnished to do so, subject to the following conditions:
*
* The above copyright notice and this permission notice shall be included in all
* copies or substantial portions of the Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
* SOFTWARE.
*/
#ifndef __ARM_COMPUTE_CLSCALEFACTORSYMM8KERNEL_H__
#define __ARM_COMPUTE_CLSCALEFACTORSYMM8KERNEL_H__
#include "arm_compute/core/CL/ICLKernel.h"
namespace arm_compute
{
class ICLTensor;
/** Interface for the kernel to perform min max search on a 3D tensor.
*/
class CLScaleFactorSymm8Kernel : public ICLKernel
{
public:
/** Default constructor */
CLScaleFactorSymm8Kernel();
/** Prevent instances of this class from being copied (As this class contains pointers) */
CLScaleFactorSymm8Kernel(const CLScaleFactorSymm8Kernel &) = delete;
/** Prevent instances of this class from being copied (As this class contains pointers) */
CLScaleFactorSymm8Kernel &operator=(const CLScaleFactorSymm8Kernel &) = delete;
/** Allow instances of this class to be moved */
CLScaleFactorSymm8Kernel(CLScaleFactorSymm8Kernel &&) = default;
/** Allow instances of this class to be moved */
CLScaleFactorSymm8Kernel &operator=(CLScaleFactorSymm8Kernel &&) = default;
/** Initialise the kernel's input and output.
*
* @param[in] input Input tensor with 2 dimensions. The first dimension will be interpreted as
* batches. Data types supported: F32.
* @param[out] output Output tensor with shape [batches] which stores the scale values for each 2D
* input tensor.
* The dimensions over the first must match the batched dimensions of the input
* tensor. Data types supported: F32.
*/
void configure(const ICLTensor *input, ICLTensor *output);
/** Static function to check if given info will lead to a valid configuration of @ref
* CLScaleFactorSymm8Kernel
*
* @param[in] input Input tensor info. Data types supported: F32.
* @param[in] output Output tensor info with shape [batches] which stores the scale values for
* each 2D input tensor.
* The dimensions over the first must match the batched dimensions of the input
* tensor. Data types supported: F32.
*
* @return a status
*/
static Status validate(const ITensorInfo *input, const ITensorInfo *output);
/** Resets global minimum and maximum
*
* @param[in,out] queue Command queue on which to map and unmap the min_max tensor
*/
void reset(cl::CommandQueue &queue);
// Inherited methods overridden:
void run(const Window &window, cl::CommandQueue &queue) override;
private:
const ICLTensor *_input;
ICLTensor *_output;
};
} // namespace arm_compute
#endif /*__ARM_COMPUTE_CLSCALEFACTORSYMM8KERNEL_H__ */
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