/**************************************************************************** * * Copyright (c) 2020 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_SPLIT_LAYOUT_INFERENCE_H_ #define TIM_LAYOUT_INFER_SPLIT_LAYOUT_INFERENCE_H_ #include "tim/vx/ops/split.h" #include "ops/op_layout_inference.h" #include "permute_vector.h" #include "operation_private.h" namespace tim { namespace transform { class SplitLayoutInfer : public OpLayoutInfer { public: SplitLayoutInfer( const std::shared_ptr op, std::shared_ptr& context) : OpLayoutInfer(op, context) {} void OnInputs( std::vector>& next_tensors) override { auto input_tensor = op_->impl()->InputsTensor()[0]; uint32_t slices_num = op_->impl()->node()->nn_param.split.slices_num; std::vector slices(slices_num); memcpy(slices.data(), op_->impl()->node()->nn_param.split.slices, slices_num * sizeof(uint32_t)); auto input_pv = context_->GetPermuteVector(input_tensor); uint32_t axis = MapAxis(input_pv->AsStdVec(), op_->impl()->node()->nn_param.split.axis); auto split = context_->infer_graph_->CreateOperation(axis, slices); auto infer_out = CreateOutputsTensor(input_pv); (*split).BindInput(context_->GetMapedTensor(input_tensor)); (*split).BindOutputs(infer_out); for (const auto& out : op_->impl()->OutputsTensor()) { context_->SetPermuteVector(out, input_pv); next_tensors.push_back(out); } } }; } // namespace transform } // namespace tim #endif