/* * Copyright (c) 2020 Samsung Electronics Co., Ltd. All Rights Reserved * * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. */ #include "EinsumLayer.h" #include namespace onert { namespace backend { namespace cpu { namespace ops { EinsumLayer::EinsumLayer() : _inputs(), _output(nullptr), _equation(), _einsum_kernel(new nnfw::cker::Einsum()) { // DO NOTHING } EinsumLayer::~EinsumLayer() = default; void EinsumLayer::einsumFloat32() { uint32_t num_inputs = _inputs.size(); nnfw::cker::Einsum &kernel = *_einsum_kernel; kernel.prepare(_equation); std::vector inputShapes; std::vector inputFloatPtrs; for (uint32_t i = 0; i < num_inputs; i++) { inputShapes.emplace_back(getTensorShape(_inputs[i])); inputFloatPtrs.emplace_back(reinterpret_cast(_inputs[i]->buffer())); } kernel(_equation, inputShapes, inputFloatPtrs, getTensorShape(_output), reinterpret_cast(_output->buffer())); } void EinsumLayer::run() { if (_output->data_type() == OperandType::FLOAT32) { einsumFloat32(); } else { throw std::runtime_error{"Einsum: unsupported data type"}; } } void EinsumLayer::configure(const std::vector &inputs, std::string equation, IPortableTensor *output) { assert(inputs.size() > 0); assert(output != nullptr); _inputs = inputs; _equation = equation; _output = output; } } // namespace ops } // namespace cpu } // namespace backend } // namespace onert