/* * Copyright (c) 2017-2019 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_TEST_DECONVOLUTION_LAYER_H__ #define __ARM_COMPUTE_TEST_DECONVOLUTION_LAYER_H__ #include "tests/SimpleTensor.h" #include "tests/validation/Helpers.h" namespace arm_compute { namespace test { namespace validation { namespace reference { /** Deconvolution reference implementation. * * src Input tensor. 3 lower dimensions represent a single input, and an optional 4th dimension for batch of inputs. Data types supported: F32. * weights The 4d weights with dimensions [width, height, OFM, IFM]. Data type supported: Same as @p input. * bias Optional, ignored if NULL. The biases have one dimension. Data type supported: Same as @p input. * output_shape Output tensor shape. The output has the same number of dimensions as the @p input. * info Contains padding and policies to be used in the deconvolution, this is decribed in @ref PadStrideInfo. * a The number of zeros added to right and top edges of the input. * */ template SimpleTensor deconvolution_layer(const SimpleTensor &src, const SimpleTensor &weights, const SimpleTensor &bias, const TensorShape &output_shape, const PadStrideInfo &info); } // namespace reference } // namespace validation } // namespace test } // namespace arm_compute #endif /* __ARM_COMPUTE_TEST_DECONVOLUTION_LAYER_H__ */