99 lines
4.0 KiB
C++
99 lines
4.0 KiB
C++
/****************************************************************************
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*
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* Copyright (c) 2020-2023 Vivante Corporation
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*
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* Permission is hereby granted, free of charge, to any person obtaining a
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* copy of this software and associated documentation files (the "Software"),
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* to deal in the Software without restriction, including without limitation
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* the rights to use, copy, modify, merge, publish, distribute, sublicense,
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* and/or sell copies of the Software, and to permit persons to whom the
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* Software is furnished to do so, subject to the following conditions:
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*
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* The above copyright notice and this permission notice shall be included in
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* all copies or substantial portions of the Software.
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*
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* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING
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* FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER
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* DEALINGS IN THE SOFTWARE.
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*
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*****************************************************************************/
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#ifndef TIM_LAYOUT_INFER_ROI_POOL_LAYOUT_INFERENCE_H_
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#define TIM_LAYOUT_INFER_ROI_POOL_LAYOUT_INFERENCE_H_
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#include "tim/vx/ops/roi_pool.h"
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#include "ops/op_layout_inference.h"
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#include "permute_vector.h"
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#include "builtin_op_impl.h"
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namespace tim {
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namespace transform {
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class RoiPoolLayoutInfer : public OpLayoutInfer {
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public:
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RoiPoolLayoutInfer(
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const std::shared_ptr<vx::Operation> op,
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std::shared_ptr<layout_inference_impl::LayoutInferContext>& context)
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: OpLayoutInfer(op, context) {}
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void OnInputs(
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std::vector<std::shared_ptr<vx::Tensor>>& next_tensors) override {
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vx::DataLayout layout = op_->impl()->layout_;
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auto input_tensors = op_->impl()->InputsTensor();
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std::shared_ptr<IPermuteVector> required_pv;
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switch (layout)
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{ // kernel layout must be IWHO in tflite & nnapi
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case vx::DataLayout::CWHN:
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required_pv = std::make_shared<PermuteVector<4>>(kCWHN2WHCN);
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break;
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case vx::DataLayout::WHCN:
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required_pv = MakeShared(4);
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break;
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default:
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VSILOGE("The layout of input is not support.");
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required_pv = MakeShared(4);
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break;
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}
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auto input_pv = context_->GetPermuteVector(input_tensors[0]);
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auto final_pv = input_pv->Reverse()->Add(required_pv);
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std::shared_ptr<vx::Tensor> infer_input;
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if (!final_pv->IsAligned()) {
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infer_input = InsertPermute(context_->GetMapedTensor(input_tensors[0]), final_pv);
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context_->SetPermuteVector(input_tensors[0], required_pv);
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} else {
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infer_input = context_->GetMapedTensor(input_tensors[0]);
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context_->SetPermuteVector(input_tensors[0], input_pv);
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}
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context_->UpdateTensorMap(input_tensors[0], infer_input);
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for (const auto& t_src : op_->impl()->InputsTensor()) {
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if(t_src->IsConstTensor()) {
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std::vector<uint8_t> dataRef(t_src->GetSpec().GetByteSize());
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t_src->CopyDataFromTensor(dataRef.data());
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auto t_infer = context_->infer_graph_->CreateTensor(
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t_src->GetSpec(), (const void*)dataRef.data());
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context_->SetPermuteVector(t_src, MakeShared(t_src->GetShape().size()));
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context_->UpdateTensorMap(t_src, t_infer);
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}
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}
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auto roi_pool = op_->Clone(context_->infer_graph_);
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auto outs_infer = CreateOutputsTensor(required_pv);
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for (const auto& i_src : op_->impl()->InputsTensor()) {
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(*roi_pool).BindInput(context_->GetMapedTensor(i_src));
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}
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(*roi_pool).BindOutput(outs_infer[0]);
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context_->SetPermuteVector(op_->impl()->OutputsTensor()[0], required_pv);
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// Add out tensor of src_graph into next_tensor
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next_tensors.push_back(op_->impl()->OutputsTensor()[0]);
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}
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};
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} // namespace transform
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} // namespace tim
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#endif |