TIM-VX/src/tim/transform/ops/split_layout_inference.h

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/****************************************************************************
*
* 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<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 {
auto input_tensor = op_->impl()->InputsTensor()[0];
uint32_t slices_num = op_->impl()->node()->nn_param.split.slices_num;
std::vector<uint32_t> 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<vx::ops::Split>(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