Added broadcast layout infernece (#438)

Signed-off-by: Chen Xin <jack.chen@verisilicon.com>

Co-authored-by: Chen Xin <jack.chen@verisilicon.com>
This commit is contained in:
chxin66 2022-07-27 12:52:48 +08:00 committed by GitHub
parent 7d88a668e3
commit cfe8c808bd
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2 changed files with 73 additions and 0 deletions

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@ -63,6 +63,7 @@
#include "ops/default_layout_inference.h"
#include "ops/transpose_layout_inference.h"
#include "ops/unidirectional_lstm_layout_inference.h"
#include "ops/broadcast_layout_inference.h"
#include <algorithm>
#include <deque>
@ -265,6 +266,7 @@ std::vector<std::shared_ptr<vx::Tensor>> HandleLayoutInfer(
REGIST_LAYOUT_INFERENCE(VSI_NN_OP_PERMUTE, Transpose);
REGIST_LAYOUT_INFERENCE(VSI_NN_OP_CONV3D, Conv3d);
REGIST_LAYOUT_INFERENCE(VSI_NN_OP_LSTM_OVXLIB, UnidirectionalLstm);
REGIST_LAYOUT_INFERENCE(VSI_NN_OP_EXPAND_BROADCAST, Broadcast);
REGIST_LOGICAL_LAYOUT_INFERENCE(VSI_NN_OP_LOGICAL_OPS);
REGIST_REDUCE_LAYOUT_INFERENCE(VSI_NN_OP_REDUCE);
// use default layout inference

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@ -0,0 +1,71 @@
/****************************************************************************
*
* Copyright (c) 2022 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_BROADCAST_LAYOUT_INFERENCE_H_
#define TIM_LAYOUT_INFER_BROADCAST_LAYOUT_INFERENCE_H_
#include "ops/op_layout_inference.h"
#include "permute_vector.h"
#include "direct_map_op_impl.h"
namespace tim {
namespace transform {
class BroadcastLayoutInfer : public OpLayoutInfer {
public:
BroadcastLayoutInfer(
const std::shared_ptr<vx::Operation> op,
std::shared_ptr<layout_inference_impl::LayoutInferContext>& context)
: OpLayoutInfer(op, context) {}
// reverse any applied permute on it's input tensor
void OnInputs(
std::vector<std::shared_ptr<vx::Tensor>>& next_tensors) override {
ReverseInputsPermuteVector();
auto cloned_op = op_->Clone(context_->infer_graph_);
for (const auto& i_src : op_->impl()->InputsTensor()) {
(*cloned_op).BindInput(context_->GetMapedTensor(i_src));
}
std::vector<std::shared_ptr<IPermuteVector>> required_pv_lst;
for (auto out_tensor : op_->impl()->OutputsTensor()) {
required_pv_lst.push_back(
MakeShared(op_->impl()->node()->nn_param.expand_broadcast.dim_num));
}
auto out_infer = CreateOutputsTensor(required_pv_lst);
(*cloned_op).BindOutputs(out_infer);
uint32_t i = 0;
for (auto out_tensor : op_->impl()->OutputsTensor()) {
context_->SetPermuteVector(out_tensor, required_pv_lst[i++]);
next_tensors.push_back(out_tensor);
}
}
};
} // namespace transform
} // namespace tim
#endif