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[Benchmark] Add PaddleYOLOv8 cpp benchmark example & lite flags option (#1270)
* [Android] Add PaddleYOLOv8 cpp benchmark example & lite flags option * [Benchmark] add linux x86_64 gpu benchmark build script
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@@ -27,13 +27,14 @@ DEFINE_int32(repeat, 1000, "Number of repeats for profiling.");
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DEFINE_string(profile_mode, "runtime", "runtime or end2end.");
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DEFINE_string(backend, "default",
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"The inference runtime backend, support: ['default', 'ort', "
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"'paddle', 'ov', 'trt', 'paddle_trt']");
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"'paddle', 'ov', 'trt', 'paddle_trt', 'lite']");
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DEFINE_int32(cpu_thread_nums, 8, "Set numbers of cpu thread.");
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DEFINE_bool(
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include_h2d_d2h, false, "Whether run profiling with h2d and d2h.");
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DEFINE_bool(
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use_fp16, false,
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"Whether to use FP16 mode, only support 'trt' and 'paddle_trt' backend");
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"Whether to use FP16 mode, only support 'trt', 'paddle_trt' "
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"and 'lite' backend");
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DEFINE_bool(
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collect_memory_info, false, "Whether to collect memory info");
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DEFINE_int32(dump_period, 100, "How often to collect memory info.");
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@@ -58,7 +59,6 @@ bool CreateRuntimeOption(fastdeploy::RuntimeOption* option) {
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option->UsePaddleInferBackend();
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} else if (FLAGS_backend == "trt" || FLAGS_backend == "paddle_trt") {
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option->UseTrtBackend();
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option->SetTrtInputShape("input", {1, 3, 112, 112});
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if (FLAGS_backend == "paddle_trt") {
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option->EnablePaddleToTrt();
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}
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@@ -81,11 +81,16 @@ bool CreateRuntimeOption(fastdeploy::RuntimeOption* option) {
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option->UseOpenVINOBackend();
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} else if (FLAGS_backend == "paddle") {
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option->UsePaddleInferBackend();
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} else if (FLAGS_backend == "lite") {
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option->UsePaddleLiteBackend();
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if (FLAGS_use_fp16) {
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option->EnableLiteFP16();
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}
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} else if (FLAGS_backend == "default") {
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return true;
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} else {
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std::cout << "While inference with CPU, only support "
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"default/ort/ov/paddle now, "
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"default/ort/ov/paddle/lite now, "
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<< FLAGS_backend << " is not supported." << std::endl;
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return false;
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}
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