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-/*
- * Copyright (c) 2018-2019 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_CLDIRECTCONVOLUTIONLAYEROUTPUTSTAGEKERNEL_H__
-#define __ARM_COMPUTE_CLDIRECTCONVOLUTIONLAYEROUTPUTSTAGEKERNEL_H__
-
-#include "arm_compute/core/CL/ICLKernel.h"
-
-namespace arm_compute
-{
-class ITensor;
-/** OpenCL kernel to accumulate the biases, if provided, or downscale in case of quantized input.
- *
- * @deprecated This kernel is deprecated and will be removed in release 19.05
- *
- * @note We assume bias to be shared
- *
- */
-class CLDirectConvolutionLayerOutputStageKernel : public ICLKernel
-{
-public:
- /** Default constructor */
- CLDirectConvolutionLayerOutputStageKernel();
- /** Prevent instances of this class from being copied (As this class contains pointers) */
- CLDirectConvolutionLayerOutputStageKernel(const CLDirectConvolutionLayerOutputStageKernel &) = delete;
- /** Prevent instances of this class from being copied (As this class contains pointers) */
- CLDirectConvolutionLayerOutputStageKernel &operator=(const CLDirectConvolutionLayerOutputStageKernel &) = delete;
- /** Allow instances of this class to be moved */
- CLDirectConvolutionLayerOutputStageKernel(CLDirectConvolutionLayerOutputStageKernel &&) = default;
- /** Allow instances of this class to be moved */
- CLDirectConvolutionLayerOutputStageKernel &operator=(CLDirectConvolutionLayerOutputStageKernel &&) = default;
- /** Default destructor */
- ~CLDirectConvolutionLayerOutputStageKernel() = default;
- /** Set the accumulate buffer and the biases of the kernel.
- *
- * @param[in, out] input Input to add the bias to. If @p output is not specified then accumulation is done in-place.
- * Data type supported: S32/F16/F32
- * @param[in] bias (Optional) The shared bias tensor to add. It must be 1D Tensor. Data type supported: Same as @p input
- * @param[out] output (Optional) If the output tensor is specified the accumulation is done out-of-place. (Defaults to nullptr)
- * Required parameter if output is of QASYMM8 type.
- * Data types supported: QASYMM8/F16/F32
- * @param[in] result_fixedpoint_multiplier (Optional)Fixed point value to be multiplied to each element of the input matrix when once the result_offset has been add
- * @param[in] result_shift (Optional)Integer value used to round to nearest division by a power-of-two the result after the fixed point multiplication
- * @param[in] result_offset_after_shift (Optional)Offset to be applied to result before converting it back to QASYMM8
- */
- void configure(ICLTensor *input, const ICLTensor *bias = nullptr, ICLTensor *output = nullptr,
- int result_fixedpoint_multiplier = 0, int result_shift = 0, int result_offset_after_shift = 0);
- /** Static function to check if given info will lead to a valid configuration of @ref CLDirectConvolutionLayerOutputStageKernel
- *
- * @param[in] input Input to add the bias to. If @p output is not specified then accumulation is done in-place.
- * Data type supported: F16/F32
- * @param[in] bias (Optional) The shared bias tensor to add. It must be 1D Tensor. Data type supported: Same as @p input
- * @param[in] output (Optional) If the output tensor is specified the accumulation is done out-of-place. (Defaults to nullptr)
- * Data type supported: F16/F32
- * @return a status
- */
- static Status validate(const ITensorInfo *input, const ITensorInfo *bias = nullptr, const ITensorInfo *output = nullptr);
-
- // Inherited methods overridden:
- void run(const Window &window, cl::CommandQueue &queue) override;
-
-private:
- ICLTensor *_input;
- const ICLTensor *_bias;
- ICLTensor *_output;
- int _result_fixedpoint_multiplier;
- int _result_shift;
- int _result_offset_after_shift;
-};
-} // namespace arm_compute
-#endif /*__ARM_COMPUTE_CLDIRECTCONVOLUTIONLAYEROUTPUTSTAGEKERNEL_H__ */