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70 lines
2.6 KiB
70 lines
2.6 KiB
// 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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#include "paddle/fluid/inference/tensorrt/op_teller.h"
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namespace paddle {
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namespace inference {
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namespace tensorrt {
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// Just tell by the op_types.
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struct SimpleOpTypeSetTeller : public Teller {
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SimpleOpTypeSetTeller() {
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#if IS_TRT_VERSION_GE(5130)
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teller_set.insert("relu6");
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#endif
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}
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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 teller_set.count(op_type);
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}
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private:
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std::unordered_set<std::string> teller_set{{"mul",
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"conv2d",
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"pool2d",
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"relu",
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"softmax",
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"sigmoid",
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"depthwise_conv2d",
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"batch_norm",
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"concat",
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"tanh",
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"pad",
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"elementwise_add",
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"elementwise_mul",
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"dropout",
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"prelu",
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"conv2d_transpose",
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"leaky_relu",
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"fc",
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"shuffle_channel",
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"swish",
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"split"}};
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};
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bool OpTeller::Tell(const std::string& op_type, const framework::OpDesc& desc) {
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for (auto& teller : tellers_) {
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if ((*teller)(op_type, desc)) return true;
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}
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return false;
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}
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OpTeller::OpTeller() { tellers_.emplace_back(new SimpleOpTypeSetTeller); }
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} // namespace tensorrt
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} // namespace inference
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} // namespace paddle
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