9autonext_request = cmodel.create_infer_request; 10std::exception_ptr exception_var; 11request.set_callback([&](std::exception_ptr ex) { 12if(ex) { 13exception_var = ex; 14return; 15} 16det_boxes.clear; 17det_ids.clear; 18ov::Tensor output = request.get_output_tensor; 19constfl...
GetOutputTensorDescs RestoreFromBuffer RestoreFromFile SaveToBuffer SaveToExternalBuffer SaveToFile SetName 模型管家类 CreateModelManager Cancel DeInit Init Run RunAsync SetPriority 模型Tensor创建类 IBuffer CreateLocalBuffer GetData GetSize INDTensorBuffer CreateNDTensorBuffer ...
GetOutputTensorDescs RestoreFromBuffer RestoreFromFile SaveToBuffer SaveToExternalBuffer SaveToFile SetName 模型管家类 CreateModelManager Cancel DeInit Init Run RunAsync SetPriority 模型Tensor创建类 IBuffer CreateLocalBuffer GetData GetSize INDTensorBuffer CreateNDTensorBuffer ...
情况是训练没有报错,模型也收敛了。但是python的infer和C++的infer都报错Tensor holds no memory. Call Tensor::mutable_data first. at [/paddle/paddle/fluid/framework/tensor.cc:22] python infer报错如下: C++ infer报错如下: 部分网络结构如下: feature传入的数据格式是一维序列,比如 [1 2 3 4] ...
This PR changes real_tensor_prop to also infer fake kernels when the operator doesn't have it. We infer the fake output to be of the same properties as the real output, with unbacked symints in the sizes and some stride order. Test Plan: - new tests Pull Requestresolved:#139213Approved...
1 of 13 checks passed merrymercydeleted thepr-fix-flashinferbranchNovember 25, 2024 04:58 zhyncsmentioned this pull requestNov 25, 2024 feat: add should_use_tensor_core#2179 Merged bjmsongmentioned this pull requestDec 17, 2024 3 tasks ...
本文将介绍基于OpenVINO ™ 的异步推理队列类 AyncInferQueue,启动多个(>2)推理请求(infer request),帮助读者在硬件投入不变的情况下,进一步提升 AI 推理程序的吞吐量(Throughput)。 在阅读本文前,请读者先了解使用 start_async 和 wait 方法实现基于2个推理请求的异步推理实现方式。该异步推理实现方式相对于 同步...
本文将介绍基于OpenVINO的异步推理队列类AyncInferQueue,启动多个(>2)推理请求(infer request),在硬件投入不变的情况下,进一步提升 AI 推理程序的吞吐量(Throughput)。 OpenVINO运行时(Runtime)用推理请求(infer request)来抽象在指定计算设备上运行已编译模型(Compiled_Model)。从编写程序的角度看,推理请求是一个类,...
1.1推理请求(InferRequest)和流(stream) OpenVINO运行时(Runtime)用推理请求(infer request)来抽象在指定计算设备上运行已编译模型(Compiled_Model)。从编写程序的角度看,推理请求是一个类,封装了支持推理请求以同步或异步方式运行的属性和方法。 推理请求(InferRequest)类的详细定义参考:https://github.com/openvinotoo...
output_tensors, self.config = utility.create_predictor( args, 'det', logger) if args.benchmark: import auto_log pid = os.getpid() gpu_id = utility.get_infer_gpuid() self.autolog = auto_log.AutoLogger( model_name="det", model_precision=args.precision, batch_size=1, ...