61 lines
2.8 KiB
C++
61 lines
2.8 KiB
C++
/****************************************************************************
|
|
*
|
|
* 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_GATHER_ND_LAYOUT_INFERENCE_H_
|
|
#define TIM_LAYOUT_INFER_GATHER_ND_LAYOUT_INFERENCE_H_
|
|
|
|
#include "ops/op_layout_inference.h"
|
|
#include "builtin_op_impl.h"
|
|
#include "tim/vx/ops/gathernd.h"
|
|
|
|
namespace tim {
|
|
namespace transform {
|
|
class GatherNdLayoutInfer : public OpLayoutInfer {
|
|
public:
|
|
GatherNdLayoutInfer(
|
|
const std::shared_ptr<vx::Operation>& op,
|
|
std::shared_ptr<layout_inference_impl::LayoutInferContext>& context)
|
|
: OpLayoutInfer(op, context) {}
|
|
void OnInputs(
|
|
std::vector<std::shared_ptr<vx::Tensor>>& next_tensors) override {
|
|
ReverseInputsPermuteVector();
|
|
uint32_t input_rank = op_->impl()->InputsTensor()[0]->GetShape().size();
|
|
uint32_t position_rank = op_->impl()->InputsTensor()[1]->GetShape().size();
|
|
uint32_t indices_rank = op_->impl()->InputsTensor()[1]->GetShape()[0];
|
|
int32_t output_rank = input_rank + position_rank - indices_rank - 1;
|
|
|
|
auto gather = context_->infer_graph_->CreateOperation<vx::ops::GatherNd>();
|
|
for (const auto& i_src : op_->impl()->InputsTensor()) {
|
|
(*gather).BindInput(context_->GetMapedTensor(i_src));
|
|
}
|
|
auto infer_out = CreateOutputsTensor(
|
|
context_->GetPermuteVector(op_->impl()->InputsTensor()[0]));
|
|
(*gather).BindOutput(infer_out[0]);
|
|
auto output_pv = MakeShared(output_rank);
|
|
context_->SetPermuteVector(op_->impl()->OutputsTensor()[0], output_pv);
|
|
next_tensors.push_back(op_->impl()->OutputsTensor()[0]);
|
|
}
|
|
};
|
|
} // namespace transform
|
|
} // namespace tim
|
|
#endif |