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[Backend] refactor paddle custom ops -> fastdeploy::paddle_custom_ops (…
…#2101) * [cmake] upgrade windows paddle inference -> 2.5.0 * [cmake] upgrade windows paddle inference -> 2.5.0 * fix paddle custom ops bug on windows * [Backend] refactor paddle custom ops
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| Original file line number | Diff line number | Diff line change |
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| // Copyright (c) 2023 PaddlePaddle Authors. All Rights Reserved. | ||
| // | ||
| // Licensed under the Apache License, Version 2.0 (the "License"); | ||
| // you may not use this file except in compliance with the License. | ||
| // You may obtain a copy of the License at | ||
| // | ||
| // http://www.apache.org/licenses/LICENSE-2.0 | ||
| // | ||
| // Unless required by applicable law or agreed to in writing, software | ||
| // distributed under the License is distributed on an "AS IS" BASIS, | ||
| // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | ||
| // See the License for the specific language governing permissions and | ||
| // limitations under the License. | ||
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| #include "flags.h" | ||
| #include "macros.h" | ||
| #include "option.h" | ||
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| namespace vision = fastdeploy::vision; | ||
| namespace benchmark = fastdeploy::benchmark; | ||
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| static bool ReadTestPoint(const std::string &file_path, | ||
| std::vector<float> &data) { | ||
| int with_timelag = 0; | ||
| int64_t num_point_dim = 5; | ||
| std::ifstream file_in(file_path, std::ios::in | std::ios::binary); | ||
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| if (!file_in) { | ||
| std::cout << "Failed to read file: " << file_path << std::endl; | ||
| return false; | ||
| } | ||
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| std::streampos file_size; | ||
| file_in.seekg(0, std::ios::end); | ||
| file_size = file_in.tellg(); | ||
| file_in.seekg(0, std::ios::beg); | ||
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| data.resize(file_size / sizeof(float)); | ||
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| file_in.read(reinterpret_cast<char *>(data.data()), file_size); | ||
| file_in.close(); | ||
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| if (file_size / sizeof(float) % num_point_dim != 0) { | ||
| std::cout << "Loaded file size (" << file_size | ||
| << ") is not evenly divisible by num_point_dim (" << num_point_dim | ||
| << ")\n"; | ||
| return false; | ||
| } | ||
| size_t num_points = file_size / sizeof(float) / num_point_dim; | ||
| if (!with_timelag && num_point_dim == 5 || num_point_dim > 5) { | ||
| for (int64_t i = 0; i < num_points; ++i) { | ||
| data[i * num_point_dim + 4] = 0.; | ||
| } | ||
| } | ||
| return true; | ||
| } | ||
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| int main(int argc, char* argv[]) { | ||
| #if defined(ENABLE_BENCHMARK) && defined(ENABLE_VISION) | ||
| // Initialization | ||
| auto option = fastdeploy::RuntimeOption(); | ||
| if (!CreateRuntimeOption(&option, argc, argv, true)) { | ||
| return -1; | ||
| } | ||
| std::string point_dir = FLAGS_image; | ||
| std::unordered_map<std::string, std::string> config_info; | ||
| benchmark::ResultManager::LoadBenchmarkConfig(FLAGS_config_path, | ||
| &config_info); | ||
| std::string model_name, params_name, config_name; | ||
| auto model_format = fastdeploy::ModelFormat::PADDLE; | ||
| if (!UpdateModelResourceName(&model_name, ¶ms_name, &config_name, | ||
| &model_format, config_info, false)) { | ||
| return -1; | ||
| } | ||
| auto model_file = FLAGS_model + sep + model_name; | ||
| auto params_file = FLAGS_model + sep + params_name; | ||
| if (config_info["backend"] == "paddle_trt") { | ||
| option.paddle_infer_option.collect_trt_shape = true; | ||
| option.paddle_infer_option.collect_trt_shape_by_device = true; | ||
| } | ||
| if (config_info["backend"] == "paddle_trt" || | ||
| config_info["backend"] == "trt") { | ||
| option.trt_option.SetShape("data", {34752, 5}, {34752, 5}, | ||
| {34752, 5}); | ||
| std::vector<float> min_input_data; | ||
| ReadTestPoint(point_dir, min_input_data); | ||
| // use custom data to perform collect shapes. | ||
| option.trt_option.SetInputData("data", min_input_data); | ||
| } | ||
| auto model_centerpoint = vision::perception::Centerpoint( | ||
| model_file, params_file, "", option, model_format); | ||
| vision::PerceptionResult res; | ||
| // Run profiling | ||
| BENCHMARK_MODEL(model_centerpoint, model_centerpoint.Predict(point_dir, &res)) | ||
| // std::cout << res.Str() << std::endl; | ||
| #endif | ||
|
|
||
| return 0; | ||
| } |
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