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https://github.com/PaddlePaddle/FastDeploy.git
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79 lines
2.6 KiB
C++
79 lines
2.6 KiB
C++
// Copyright (c) 2022 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 "fastdeploy/text/text_model.h"
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#include "fastdeploy/text/common/option.h"
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#include "fastdeploy/text/common/result.h"
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#include "fastdeploy/text/postprocessor/postprocessor.h"
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#include "fastdeploy/text/preprocessor/preprocessor.h"
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namespace fastdeploy {
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namespace text {
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bool TextModel::Predict(const std::string& raw_text, Result* result,
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const PredictionOption& option) {
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// Preprocess
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std::vector<FDTensor> input_tensor;
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std::vector<FDTensor> output_tensor;
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if (!preprocessor_->Encode(raw_text, &input_tensor)) {
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FDERROR << "Failed to preprocess input data while using model:"
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<< ModelName() << "." << std::endl;
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return false;
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}
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// Inference Runtime
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if (!Infer(input_tensor, &output_tensor)) {
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FDERROR << "Failed to inference while using model:" << ModelName() << "."
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<< std::endl;
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return false;
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}
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// Postprocess
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if (postprocessor_->Decode(output_tensor, result)) {
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FDERROR << "Failed to postprocess while using model:" << ModelName() << "."
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<< std::endl;
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return false;
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}
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return true;
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}
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bool TextModel::PredictBatch(const std::vector<std::string>& raw_text_array,
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Result* results, const PredictionOption& option) {
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// Preprocess
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std::vector<FDTensor> input_tensor;
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std::vector<FDTensor> output_tensor;
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if (!preprocessor_->EncodeBatch(raw_text_array, &input_tensor)) {
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FDERROR << "Failed to preprocess input data while using model:"
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<< ModelName() << "." << std::endl;
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return false;
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}
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// Inference Runtime
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if (!Infer(input_tensor, &output_tensor)) {
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FDERROR << "Failed to inference while using model:" << ModelName() << "."
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<< std::endl;
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return false;
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}
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// Postprocess
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if (postprocessor_->DecodeBatch(output_tensor, results)) {
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FDERROR << "Failed to postprocess while using model:" << ModelName() << "."
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<< std::endl;
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return false;
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}
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return true;
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}
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} // namespace text
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} // namespace fastdeploy
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