[ INFO ] INFERENCE_NUM_THREADS: 44 [ INFO ] PERF_COUNT: NO [ INFO ] INFERENCE_PRECISION_HINT: f32 [ INFO ] PERFORMANCE_HINT: THROUGHPUT [ INFO ] EXECUTION_MODE_HINT: PERFORMANCE [ INFO ] PERFORMANCE_HINT_NUM_REQUESTS: 0 [ INFO ] ENABLE_CPU_PINNING: YES ...
INFERENCE_NUM_THREADS: Maximum number of threads that can be used for inference tasks. Should be a non-negative number. Default is equal to number of cores. COMPILATION_NUM_THREADS: Maximum number of threads that can be used for compilation tasks. Should be a non-negative number. ...
FLAGS_cpu_threads,// FLAGS_cls_batch_num, "dynamic", FLAGS_precision,// this->time_info...
input_layer_name='input0'input_shape=[1,3,416,416]data_shape=json.dumps({input_layer_name:input_shape})target_device='ml_c5'framework='PYTORCH'compiled_env={"MMS_DEFAULT_WORKERS_PER_MODEL":'1',"TVM_NUM_THREADS":'36',"COMPILEDMODEL":'True','MMS_MAX_RESPONSE_SIZE':'1000000...
, dataTransferMode="bulk") .setEarlyStoppingRound(300) .setLambdaL1(0.5) .setNumIterations(1000) .setNumThreads(-1) .setMaxDeltaStep(0.5) .setNumLeaves(31) .setMaxDepth(-1) .setBaggingFraction(0.7) .setFeatureFraction(0.7) .setBaggingFreq(2) .setObjective("binary") .setIsUnbalance(True...
import numpy as np from ppqi import InferenceModel ''' modelpath:推理模型路径 use_gpu:是否使用GPU进行推理 gpu_id:设置使用的GPU ID use_mkldnn:是否使用MKLDNN库进行CPU推理加速 cpu_threads:设置计算库的所使用CPU线程数 还可以通过InferenceModel.config来对其他选项进行配置如配置tensorrt: model.config....
参考github链接：GitHub - PaddlePaddle/FastDeploy 总体步骤 1. C++ SDK编译库（以GPU部署环境为例）2...
我也是这个问题，xinference部署出现问题，请问解决了吗？
//int num_threads; // not used now until we re-introduce threadpools for async execution bool enable_sequential_execution = true; // TODO: should we default to sequential execution? // enable profiling for this session. bool enable_profiling = false; // enable the memory arena on CPU...
RET_CHECK(tf_status.ok()) << "Run failed: " << tf_status.ToString(); const int64 run_end_time = absl::ToUnixMicros(clock_->TimeNow()); cc->GetCounter(kTotalSessionRunsTimeUsecsCounterSuffix) ->IncrementBy(run_end_time - run_start_time); cc->GetCounter(kTotalNumSessionRunsCounter...