62 lines
2.6 KiB
C++
62 lines
2.6 KiB
C++
/****************************************************************************
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*
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* Copyright (c) 2020 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_CONCAT_LAYOUT_INFERENCE_H_
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#define TIM_LAYOUT_INFER_CONCAT_LAYOUT_INFERENCE_H_
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#include "tim/vx/ops/concat.h"
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#include "src/tim/layout_infer/ops/op_layout_inference.h"
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#include "src/tim/layout_infer/permute_vector.h"
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#include "src/tim/vx/operation_private.h"
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namespace tim {
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namespace transform {
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class ConcatLayoutInfer : public OpLayoutInfer {
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public:
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ConcatLayoutInfer(
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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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auto required_pv = AlignPermuteVectorForMutilInputs();
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auto axis = MapAxis(required_pv->AsStdVec(),
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op_->impl()->node()->nn_param.concat.axis);
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auto concat = context_->infer_graph_->CreateOperation<vx::ops::Concat>(
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axis, op_->impl()->InputsTensor().size());
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for (const auto& i_src : op_->impl()->InputsTensor()) {
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(*concat).BindInput(context_->GetMapedTensor(i_src));
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}
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auto out_infer = CreateOutputsTensor(required_pv);
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(*concat).BindOutput(out_infer[0]);
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context_->SetPermuteVector(op_->impl()->OutputsTensor()[0], required_pv);
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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 |