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/*
* Copyright (c) 2017-2020 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_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: QASYMM8/QASYMM8_SIGNED/F32/F16.
* 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, except for input of QASYMM8 and QASYMM8_SIGNED type where biases should be of S32 type
* 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 <typename T, typename TB>
SimpleTensor<T> deconvolution_layer(const SimpleTensor<T> &src, const SimpleTensor<T> &weights, const SimpleTensor<TB> &bias, const TensorShape &output_shape, const PadStrideInfo &info,
QuantizationInfo out_qinfo = QuantizationInfo());
} // namespace reference
} // namespace validation
} // namespace test
} // namespace arm_compute
#endif /* ARM_COMPUTE_TEST_DECONVOLUTION_LAYER_H */
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