74 lines
3.1 KiB
C
74 lines
3.1 KiB
C
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/****************************************************************************
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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_PAD_LAYOUT_INFERENCE_H_
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#define TIM_LAYOUT_INFER_PAD_LAYOUT_INFERENCE_H_
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#include "tim/vx/ops/pad.h"
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#include "src/tim/transform/ops/op_layout_inference.h"
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#include "src/tim/transform/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 PadLayoutInfer : public OpLayoutInfer {
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public:
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PadLayoutInfer(
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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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assert(op_->impl()->InputsTensor().size() == 1);
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auto i_src = op_->impl()->InputsTensor()[0];
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auto input_pv = context_->GetPermuteVector(i_src);
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uint32_t dim_num = op_->impl()->node()->nn_param.pad.dim_num;
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std::vector<uint32_t> front_size(dim_num);
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std::vector<uint32_t> back_size(dim_num);
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memcpy(front_size.data(), op_->impl()->node()->nn_param.pad.front_size,
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sizeof(uint32_t) * dim_num);
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memcpy(back_size.data(), op_->impl()->node()->nn_param.pad.back_size,
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sizeof(uint32_t) * dim_num);
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int32_t pad_value = op_->impl()->node()->nn_param.pad.const_val;
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if (!input_pv->IsAligned()) {
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front_size = MapPadding(input_pv->AsStdVec(), front_size);
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back_size = MapPadding(input_pv->AsStdVec(), back_size);
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}
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auto pad = context_->infer_graph_->CreateOperation<vx::ops::Pad>(
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front_size, back_size, pad_value);
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auto out_infer = CreateOutputsTensor(input_pv);
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(*pad).BindInput(context_->GetMapedTensor(i_src));
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(*pad).BindOutput(out_infer[0]);
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context_->SetPermuteVector(op_->impl()->OutputsTensor()[0], input_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
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