/* * Copyright (c) 2022 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_CL_TRANSPOSED_CONVOLUTION_H #define ARM_COMPUTE_CL_TRANSPOSED_CONVOLUTION_H #include "src/gpu/cl/ClCompileContext.h" #include "src/gpu/cl/IClKernel.h" #include "src/gpu/cl/IClOperator.h" namespace arm_compute { namespace opencl { /** Basic function to simulate a directly convolution layer. This function calls the following OpenCL kernels: * * -# @ref opencl::ClTransposedConvolution */ class ClTransposedConvolution : public IClOperator { public: /** Default constructor */ ClTransposedConvolution() = default; /** Default Destructor */ ~ClTransposedConvolution() = default; /** Prevent instances of this class from being copied (As this class contains pointers) */ ClTransposedConvolution(const ClTransposedConvolution &) = delete; /** Default move constructor */ ClTransposedConvolution(ClTransposedConvolution &&) = default; /** Prevent instances of this class from being copied (As this class contains pointers) */ ClTransposedConvolution &operator=(const ClTransposedConvolution &) = delete; /** Default move assignment operator */ ClTransposedConvolution &operator=(ClTransposedConvolution &&) = default; /** Set the input, weights, biases and output tensors. * * @note: Only NHWC data layout is supported * * @param[in] compile_context The compile context to be used. * @param[in] input Input tensor info with dimensions [IFM, width, height, batch] * Data types supported: F16/F32/QASYMM8/QASYMM8_SIGNED. * @param[in] weights Weight tensor info with dimensions [IFM, width, height, OFM]. * Data type supported: Same as @p input * @param[in] biases (Optional) Biases tensor info. Biases are 1D tensor with dimension [OFM]. * Data type supported: Should match @p input data type if floating point, otherwise S32. * @param[out] output Output tensor info with dimensions [OFM, width, height, batch] * The 1st dimension must be equal to the 4th dimension of the @p weights tensor. * Data types supported: Same as @p input. * @param[in] deconv_info Contains padding and stride information described in @ref PadStrideInfo. * */ void configure(const CLCompileContext &compile_context, const ITensorInfo *input, const ITensorInfo *weights, const ITensorInfo *biases, ITensorInfo *output, const PadStrideInfo &deconv_info); /** Static function to check if given info will lead to a valid configuration * * Similar to ClTransposedConvolution::configure() * * @return a status */ static Status validate(const ITensorInfo *input, const ITensorInfo *weights, const ITensorInfo *biases, const ITensorInfo *output, const PadStrideInfo &deconv_info); // Inherited method overridden void run(ITensorPack &tensors) override; private: std::unique_ptr _transposed_conv_kernel{nullptr}; }; } // namespace opencl } // namespace arm_compute #endif /* ARM_COMPUTE_CL_TRANSPOSED_CONVOLUTION_H */