/* * 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. */ #include "ArithmeticOperations.h" #include "arm_compute/core/Types.h" #include "tests/validation/Helpers.h" namespace arm_compute { namespace test { namespace validation { namespace reference { namespace { template T arithm_op(ArithmeticOperation op, T src1, T src2, ConvertPolicy convert_policy) { using intermediate_type = typename common_promoted_signed_type::intermediate_type; intermediate_type val = (op == ArithmeticOperation::ADD) ? static_cast(src1) + static_cast(src2) : static_cast (src1) - static_cast(src2); T result = (convert_policy == ConvertPolicy::SATURATE) ? saturate_cast(val) : static_cast(val); return result; } template struct BroadcastUnroll { template static void unroll(ArithmeticOperation op, const SimpleTensor &src1, const SimpleTensor &src2, SimpleTensor &dst, ConvertPolicy convert_policy, Coordinates &id_src1, Coordinates &id_src2, Coordinates &id_dst) { const bool src1_is_broadcast = (src1.shape()[dim - 1] != dst.shape()[dim - 1]); const bool src2_is_broadcast = (src2.shape()[dim - 1] != dst.shape()[dim - 1]); id_src1.set(dim - 1, 0); id_src2.set(dim - 1, 0); id_dst.set(dim - 1, 0); for(size_t i = 0; i < dst.shape()[dim - 1]; ++i, ++id_dst[dim - 1]) { BroadcastUnroll < dim - 1 >::unroll(op, src1, src2, dst, convert_policy, id_src1, id_src2, id_dst); id_src1[dim - 1] += !src1_is_broadcast; id_src2[dim - 1] += !src2_is_broadcast; } } }; template <> struct BroadcastUnroll<0> { template static void unroll(ArithmeticOperation op, const SimpleTensor &src1, const SimpleTensor &src2, SimpleTensor &dst, ConvertPolicy convert_policy, Coordinates &id_src1, Coordinates &id_src2, Coordinates &id_dst) { dst[coord2index(dst.shape(), id_dst)] = arithm_op(op, src1[coord2index(src1.shape(), id_src1)], src2[coord2index(src2.shape(), id_src2)], convert_policy); } }; } // namespace template SimpleTensor arithmetic_operation(ArithmeticOperation op, const SimpleTensor &src1, const SimpleTensor &src2, SimpleTensor &dst, ConvertPolicy convert_policy) { Coordinates id_src1{}; Coordinates id_src2{}; Coordinates id_dst{}; BroadcastUnroll::unroll(op, src1, src2, dst, convert_policy, id_src1, id_src2, id_dst); return dst; } template <> SimpleTensor arithmetic_operation(ArithmeticOperation op, const SimpleTensor &src1, const SimpleTensor &src2, SimpleTensor &dst, ConvertPolicy convert_policy) { Coordinates id_src1{}; Coordinates id_src2{}; Coordinates id_dst{}; if(dst.data_type() == DataType::QASYMM8) { SimpleTensor src1_tmp = convert_from_asymmetric(src1); SimpleTensor src2_tmp = convert_from_asymmetric(src2); SimpleTensor dst_tmp(TensorShape::broadcast_shape(src1.shape(), src2.shape()), dst.data_type()); BroadcastUnroll::unroll(op, src1_tmp, src2_tmp, dst_tmp, convert_policy, id_src1, id_src2, id_dst); dst = convert_to_asymmetric(dst_tmp, dst.quantization_info()); return dst; } else { // DataType::U8 BroadcastUnroll::unroll(op, src1, src2, dst, convert_policy, id_src1, id_src2, id_dst); return dst; } } template SimpleTensor arithmetic_operation(ArithmeticOperation op, const SimpleTensor &src1, const SimpleTensor &src2, SimpleTensor &dst, ConvertPolicy convert_policy); template SimpleTensor arithmetic_operation(ArithmeticOperation op, const SimpleTensor &src1, const SimpleTensor &src2, SimpleTensor &dst, ConvertPolicy convert_policy); template SimpleTensor arithmetic_operation(ArithmeticOperation op, const SimpleTensor &src1, const SimpleTensor &src2, SimpleTensor &dst, ConvertPolicy convert_policy); template SimpleTensor arithmetic_operation(ArithmeticOperation op, const SimpleTensor &src1, const SimpleTensor &src2, SimpleTensor &dst, ConvertPolicy convert_policy); template SimpleTensor arithmetic_operation(ArithmeticOperation op, const SimpleTensor &src1, const SimpleTensor &src2, DataType dst_data_type, ConvertPolicy convert_policy) { ARM_COMPUTE_ERROR_ON_MSG(dst_data_type == DataType::QASYMM8, "For QASYMM8, the quantized output tensor should be passed directly."); SimpleTensor dst(TensorShape::broadcast_shape(src1.shape(), src2.shape()), dst_data_type); arithmetic_operation(op, src1, src2, dst, convert_policy); return dst; } template SimpleTensor arithmetic_operation(ArithmeticOperation op, const SimpleTensor &src1, const SimpleTensor &src2, DataType dst_data_type, ConvertPolicy convert_policy); template SimpleTensor arithmetic_operation(ArithmeticOperation op, const SimpleTensor &src1, const SimpleTensor &src2, DataType dst_data_type, ConvertPolicy convert_policy); template SimpleTensor arithmetic_operation(ArithmeticOperation op, const SimpleTensor &src1, const SimpleTensor &src2, DataType dst_data_type, ConvertPolicy convert_policy); template SimpleTensor arithmetic_operation(ArithmeticOperation op, const SimpleTensor &src1, const SimpleTensor &src2, DataType dst_data_type, ConvertPolicy convert_policy); } // namespace reference } // namespace validation } // namespace test } // namespace arm_compute