/**************************************************************************** * * Copyright (c) 2020-2023 Vivante Corporation * * 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 TIM_LAYOUT_INFER_SIMMPLE_OPS_LAYOUT_INFERENCE_H_ #define TIM_LAYOUT_INFER_SIMMPLE_OPS_LAYOUT_INFERENCE_H_ #include "tim/vx/ops/simple_operations.h" #include "ops/op_layout_inference.h" #include "permute_vector.h" #include "builtin_op_impl.h" namespace tim { namespace transform { template class SimpleOpsLayoutInfer : public OpLayoutInfer { public: SimpleOpsLayoutInfer( const std::shared_ptr op, std::shared_ptr& context) : OpLayoutInfer(op, context) {} void OnInputs( std::vector>& next_tensors) override { // Transmit input pv to out pv directly for simple ops assert(op_->impl()->InputsTensor().size() == 1); auto i_src = op_->impl()->InputsTensor()[0]; auto input_pv = context_->GetPermuteVector(i_src); auto out_infer = CreateOutputsTensor(input_pv); auto simple_op = context_->infer_graph_->CreateOperation(); (*simple_op) .BindInput(context_->GetMappedTensor(i_src)) .BindOutput(out_infer[0]); context_->SetPermuteVector(op_->impl()->OutputsTensor()[0], input_pv); next_tensors.push_back(op_->impl()->OutputsTensor()[0]); } }; using DataConvertLayoutInfer = SimpleOpsLayoutInfer; using NegLayoutInfer = SimpleOpsLayoutInfer; using AbsLayoutInfer = SimpleOpsLayoutInfer; using SinLayoutInfer = SimpleOpsLayoutInfer; using CosLayoutInfer = SimpleOpsLayoutInfer; using TanLayoutInfer = SimpleOpsLayoutInfer; using ATanLayoutInfer = SimpleOpsLayoutInfer; using ATanhLayoutInfer = SimpleOpsLayoutInfer; using ACoshLayoutInfer = SimpleOpsLayoutInfer; using ExpLayoutInfer = SimpleOpsLayoutInfer; using LogLayoutInfer = SimpleOpsLayoutInfer; using SqrtLayoutInfer = SimpleOpsLayoutInfer; using RsqrtLayoutInfer = SimpleOpsLayoutInfer; using SquareLayoutInfer = SimpleOpsLayoutInfer; using LogicalNotLayoutInfer = SimpleOpsLayoutInfer; } // namespace transform } // namespace tim #endif