enable_profiling = True session = ort.InferenceSession("my_model.onnx", sess_options=so) # 运行模型... results = session.run(...) # 获取profiler文件路径 profile_file = session.end_profiling() # 分析profiler输出文件... Profiler: ONNX Runtime有一个内置的Profiler工具,可以用来跟踪和记录模型...
在onnxruntime.InferenceSession 前可以加入以下代码, opts.enable_profiling = True # 可以在当前目录下保存一个 onnxruntime_profile_xxx.json onnxruntime.set_default_logger_severity(1) # 可以在 bash 中获得详细信息 打开onnxruntime_profile_xxx.json ,关键看 dur 部分代表了持续时间。在这里插入图片描述...
import numpy as npimport onnxruntime as ort# 模型路径model = "./resnet34.onnx"# 以CANN作为EP的配置，参数说明可见：https://github.com/microsoft/onnxruntime/blob/gh-pages/docs/execution-providers/community-maintained/CANN-ExecutionProvider.mdproviders = [ ("CANNExecutionProvider", { "de...
You can enable ONNX Runtime latency profiling in code: import onnxruntime as rt sess_options = rt.SessionOptions() sess_options.enable_profiling = True If you are using the onnxruntime_perf_test.exe tool, you can add -p [profile_file] to enable performance profiling. In both cases, ...
EnableProfiling("profile_prefix"); #endif Ort::Session session_1(*ort_env, MODEL_WITH_CUSTOM_MODEL_METADATA, session_options_1); char* profile_file = session_1.EndProfiling(allocator.get()); ASSERT_TRUE(std::string(profile_file).find("profile_prefix") != std::string::npos); /...
"enable_cann_graph": True, }), ] # options可以用来对推理session进行配置,例如开启profiling功能 options = ort.SessionOptions() # 创建推理session session = ort.InferenceSession(model, providers=providers, sess_options=options) # 构造纯推理数据 ...
enable_profiling=True, ) for inputs in all_inputs: _ = session.run(None, inputs) profile_file = session.end_profiling() return profile_file def get_dim_from_type_proto(dim): return getattr(dim, dim.WhichOneof("value")) if type(dim.WhichOneof("value")) == str else None # noqa...
DEFINE_bool(enable_op_profiling, false, "enable_op_profiling"); DEFINE_string(prefix, "", "result");void calc_std_deviation(std::vector<double> arr, int size,double& latency_avg ,double& latency_std) { double sum = 0.0, mean, stddev = 0.0; ...
OrtStatus*(ORT_API_CALL* DisableProfiling)(_Inout_ OrtSessionOptions* options)NO_EXCEPTION; // Enable the memory pattern optimization. // The idea is if the input shapes are the same, we could trace the internal memory allocation // and generate a memory pattern for future requ...
session_options.enable_profiling = True # 可选,开启性能分析 session_options.graph_optimization_level = ort.GraphOptimizationLevel.ORT_ENABLE_ALL session = ort.InferenceSession(model_path, sess_options=session_options, providers=providers) return session ...