1 /* 2 * Copyright (c) 2017-2021 Arm Limited. 3 * 4 * SPDX-License-Identifier: MIT 5 * 6 * Permission is hereby granted, free of charge, to any person obtaining a copy 7 * of this software and associated documentation files (the "Software"), to 8 * deal in the Software without restriction, including without limitation the 9 * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or 10 * sell copies of the Software, and to permit persons to whom the Software is 11 * furnished to do so, subject to the following conditions: 12 * 13 * The above copyright notice and this permission notice shall be included in all 14 * copies or substantial portions of the Software. 15 * 16 * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR 17 * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, 18 * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE 19 * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER 20 * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, 21 * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE 22 * SOFTWARE. 23 */ 24 #ifndef ARM_COMPUTE_TEST_DECONVOLUTION_LAYER_H 25 #define ARM_COMPUTE_TEST_DECONVOLUTION_LAYER_H 26 27 #include "tests/SimpleTensor.h" 28 #include "tests/validation/Helpers.h" 29 30 namespace arm_compute 31 { 32 namespace test 33 { 34 namespace validation 35 { 36 namespace reference 37 { 38 /** Deconvolution reference implementation. 39 * 40 * src Input tensor. 3 lower dimensions represent a single input, and an optional 4th dimension for batch of inputs. 41 * Data types supported: QASYMM8/QASYMM8_SIGNED/F32/F16. 42 * weights The 4d weights with dimensions [width, height, OFM, IFM]. Data type supported: Same as @p input, also could be QSYMM8_PER_CHANNEL if input is QASYMM8/QASYMM8_SIGNED. 43 * bias Optional, ignored if NULL. The biases have one dimension. 44 * Data type supported: Same as @p input, except for input of QASYMM8/QASYMM8_SIGNED types where biases should be of S32 type 45 * output_shape Output tensor shape. The output has the same number of dimensions as the @p input. 46 * info Contains padding and policies to be used in the deconvolution, this is decribed in @ref PadStrideInfo. 47 * a The number of zeros added to right and top edges of the input. 48 * 49 */ 50 template <typename T, typename TW, typename TB> 51 SimpleTensor<T> deconvolution_layer(const SimpleTensor<T> &src, const SimpleTensor<TW> &weights, const SimpleTensor<TB> &bias, const TensorShape &output_shape, const PadStrideInfo &info, 52 QuantizationInfo out_qinfo = QuantizationInfo()); 53 } // namespace reference 54 } // namespace validation 55 } // namespace test 56 } // namespace arm_compute 57 #endif /* ARM_COMPUTE_TEST_DECONVOLUTION_LAYER_H */ 58