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Diffstat (limited to 'arm_compute/core/CL/kernels/CLDeconvolutionReshapeOutputKernel.h')
| -rw-r--r-- | arm_compute/core/CL/kernels/CLDeconvolutionReshapeOutputKernel.h | 106 |
1 files changed, 0 insertions, 106 deletions
diff --git a/arm_compute/core/CL/kernels/CLDeconvolutionReshapeOutputKernel.h b/arm_compute/core/CL/kernels/CLDeconvolutionReshapeOutputKernel.h deleted file mode 100644 index 292c561e46..0000000000 --- a/arm_compute/core/CL/kernels/CLDeconvolutionReshapeOutputKernel.h +++ /dev/null @@ -1,106 +0,0 @@ -/* - * Copyright (c) 2019-2020 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_CLDECONVOLUTIONLAYERRESHAPEOUTPUTKERNEL_H -#define ARM_COMPUTE_CLDECONVOLUTIONLAYERRESHAPEOUTPUTKERNEL_H - -#include "arm_compute/core/CL/ICLSimpleKernel.h" - -namespace arm_compute -{ -class ICLTensor; - -/** Interface for the OpenCL kernel to be used for reshaping the tensor before returning the result of deconvolution. - * - * The input tensor to this OpenCL kernel is expected to be the result of a @ref CLGEMM operation between the Deconvolution input and the Deconvolution filter. - * - * The input tensor should have the following shape: [filter_width * filter_height * ofms, width, height, batch_size] - * - * The output tensor should have the following shape: [stride_x * (input_width - 1) + filter_width - 2 * padx, stride_y * (input_height - 1) + filter_height - 2 * pady, ofms, batch_size] - * - * For example, given a tensor with dimensions [4, 2, 2] this function returns a tensor with dimensions [1, 4, 4]. - * - */ -class CLDeconvolutionReshapeOutputKernel : public ICLSimpleKernel -{ -public: - /** Default constructor */ - CLDeconvolutionReshapeOutputKernel(); - /** Prevent instances of this class from being copied (As this class contains pointers) */ - CLDeconvolutionReshapeOutputKernel(const CLDeconvolutionReshapeOutputKernel &) = delete; - /** Prevent instances of this class from being copied (As this class contains pointers) */ - CLDeconvolutionReshapeOutputKernel &operator=(const CLDeconvolutionReshapeOutputKernel &) = delete; - /** Allow instances of this class to be moved */ - CLDeconvolutionReshapeOutputKernel(CLDeconvolutionReshapeOutputKernel &&) = default; - /** Allow instances of this class to be moved */ - CLDeconvolutionReshapeOutputKernel &operator=(CLDeconvolutionReshapeOutputKernel &&) = default; - /** Default destructor */ - ~CLDeconvolutionReshapeOutputKernel() = default; - - /** Initialise the kernel's source and destination. - * - * @param[in] input Input tensor. Supported data types: QASYMM8/QASYMM8_SIGNED/S32/F16/F32. - * @param[in] bias Bias tensor to be added directly during the reshape operation. Supported data types: same as @p input. Supported data layouts: same as @p input. - * @param[out] output Output tensor with the following shape: [stride_x * (input_width - 1) + filter_width - 2 * padx, stride_y * (input_height - 1) + filter_height - 2 * pady, ofms, batch_size] - * Supported data types: same as @p input. Supported data layouts: same as @p input. - * @param[in] input_info Deconvolution input tensor info. Supported data types: same as @p input. Supported data layouts: same as @p input. - * @param[in] weights_info Deconvolution weights tensor info. Supported data types: same as @p input. Supported data layouts: same as @p input. - * @param[in] deconv_info Contains padding and policies to be used in the deconvolution, this is described in @ref PadStrideInfo. This kernel supports only stride_x = weights.width && stride_y = weights.height. Moreover, padding is not supported. - */ - void configure(const ICLTensor *input, const ICLTensor *bias, ICLTensor *output, const ITensorInfo *input_info, const ITensorInfo *weights_info, const PadStrideInfo &deconv_info); - /** Initialise the kernel's source and destination. - * - * @param[in] compile_context The compile context to be used. - * @param[in] input Input tensor. Supported data types: QASYMM8/QASYMM8_SIGNED/S32/F16/F32. - * @param[in] bias Bias tensor to be added directly during the reshape operation. Supported data types: same as @p input. Supported data layouts: same as @p input. - * @param[out] output Output tensor with the following shape: [stride_x * (input_width - 1) + filter_width - 2 * padx, stride_y * (input_height - 1) + filter_height - 2 * pady, ofms, batch_size] - * Supported data types: same as @p input. Supported data layouts: same as @p input. - * @param[in] input_info Deconvolution input tensor info. Supported data types: same as @p input. Supported data layouts: same as @p input. - * @param[in] weights_info Deconvolution weights tensor info. Supported data types: same as @p input. Supported data layouts: same as @p input. - * @param[in] deconv_info Contains padding and policies to be used in the deconvolution, this is described in @ref PadStrideInfo. This kernel supports only stride_x = weights.width && stride_y = weights.height. Moreover, padding is not supported. - */ - void configure(const CLCompileContext &compile_context, const ICLTensor *input, const ICLTensor *bias, ICLTensor *output, const ITensorInfo *input_info, const ITensorInfo *weights_info, - const PadStrideInfo &deconv_info); - - /** Static function to check if given info will lead to a valid configuration of @ref CLDeconvolutionReshapeOutputKernel. - * - * @param[in] input GEMM output tensor info to be reshaped. Supported data types: QASYMM8/QASYMM8_SIGNED/S32/F16/F32. - * @param[in] bias (Optional) Optional bias tensor info to be added directly during the reshape operation. Supported data types: same as @p input. Supported data layouts: same as @p input. - * @param[in] output Reshaped output tensor info. Supported data types: same as @p input. Supported data layouts: same as @p input. - * @param[in] input_info Original input tensor info. Supported data types: same as @p input. Supported data layouts: same as @p input. - * @param[in] weights_info Original weights tensor info output. Supported data types: same as @p input. Supported data layouts: same as @p input. - * @param[in] deconv_info Contains padding and policies to be used in the deconvolution, this is described in @ref PadStrideInfo. This kernel supports only stride_x = weights.width && stride_y = weights.height. Moreover, padding is not supported. - * - * @return a Status - */ - static Status validate(const ITensorInfo *input, const ITensorInfo *bias, const ITensorInfo *output, const ITensorInfo *input_info, const ITensorInfo *weights_info, const PadStrideInfo &deconv_info); - - // Inherited methods overridden: - void run(const Window &window, cl::CommandQueue &queue) override; - -private: - bool _add_bias; - const ICLTensor *_bias; -}; -} // namespace arm_compute -#endif /*ARM_COMPUTE_CLDECONVOLUTIONLAYERRESHAPEOUTPUTKERNEL_H */ |