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71 lines
1.8 KiB
71 lines
1.8 KiB
6 years ago
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// Copyright (c) 2019 PaddlePaddle Authors. All Rights Reserved.
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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#pragma once
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#include <memory>
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#include <string>
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#include <unordered_set>
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#include <vector>
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#include "paddle/fluid/framework/op_desc.h"
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namespace paddle {
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namespace inference {
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namespace anakin {
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/*
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* Single Op teller definition.
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* One can override this and define a more complex tell logic, considerring more
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* issues such as op_desc.
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*/
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struct Teller {
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virtual bool operator()(const std::string& op_type,
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const framework::OpDesc& desc) = 0;
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virtual ~Teller() = default;
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};
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/*
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* A real example:
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*
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* struct SomeTeller : public Teller {
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* bool operator()(const std::string& op_type,
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* const framework::OpDesc& desc) override {
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* return op_type == "fc" && desc.Inputs().size() == 2;
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* }
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*};
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*/
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/*
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* class OpTeller helps to tell whether a fluid
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* operator can be transformed to a TensorRT layer.
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*/
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class OpTeller {
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public:
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static OpTeller& Global() {
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static std::unique_ptr<OpTeller> x(new OpTeller);
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return *x;
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}
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bool Tell(const std::string& op_type, const framework::OpDesc& desc);
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private:
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OpTeller();
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private:
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std::vector<std::unique_ptr<Teller>> tellers_;
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};
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} // namespace anakin
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} // namespace inference
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} // namespace paddle
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