bool test_map_cnn(int batch_size, int repeat) { AnalysisConfig config; PrepareTRTConfig(&config, batch_size); auto predictor = CreatePaddlePredictor(config); int channels = 3; int height = 224; int width = 224;
您好,这个不是个报错信息,由于animegan_v2_hayao_99的模型之前是用1.8版本的hub和1.8版本的paddle写的,现在适配到2.0的hub和2.0的paddle会有一些老的op的提示信息,但是不影响输出结果,用以下脚本运行,在output文件夹下可以看到输出结果。具体使用方法可以参见https://www.paddlepaddle.org.cn/hubdetail?name=animegan_...
A high-performance control system called "predictor鈥攔egulator" is proposed, its governing laws are derived, and it is applied to simulated processes to evaluate its characteristics, and to real processes to demonstrate its feasibility. The proposed system is made up of a two-loop configuration[...
Gordon YJ, Bachar E (1980) Multiple regression analysis predictor models in exotropia surgery. Am J Ophthalmol 90: 687–691Gordon YJ, Bacher EB. Multiple regression analysis predictor models in exotropia surgery. Am J Ophthalmol 1980; 90: 687-9....
paddle_infer::predictor::predictor(paddle::analysisconfig const&) 是Paddle Inference 框架中 Predictor 类的构造函数。它的主要作用是根据传入的 AnalysisConfig 配置对象来初始化一个 Predictor 实例。这个构造函数负责配置预测引擎,包括加载模型、设置运行设备(CPU/GPU)、开启或关闭计算图优化等。 2. 阐述paddl...
Analysis between the predicted and experimental values of the error cause and effect. 翻译结果2复制译文编辑译文朗读译文返回顶部 Analyze the error degree between experiment value and the predicted value and influence the reason. 翻译结果3复制译文编辑译文朗读译文返回顶部 Analysis of Predictor effec...
Time Series Analysis Best MSE (Mean Square Error) Predictor 对于所有可能的预测函数f(Xn)f(Xn),找到一个使E[(Xn−f(Xn))2]E[(Xn−f(Xn))2]最小的ff的 predictor。这样的 predictor 假设记为m(Xn)m(Xn), 称作 best MSE predictor,i.e., ...
버전 1.0.0.0(2.67 KB) 작성자:Ieong extension of x2fx to generate higher order predictor matrix for regression analysis 팔로우 5.0 (1) 다운로드 수: 277 업데이트 날짜:2012/11/27 라이선스 보기 ...
low-complexity predictor multispectral and hyperspectral images 摘要 The predictive lossy compression paradigm, which is emerging as an interesting alternative to conventional transform coding techniques, is studied. We first discuss this paradigm and outline the advantages and drawbacks with respect to trans...
A regression assesses whether predictor variables account for variability in a dependent variable. This page will describe regression analysis example research questions, assumptions, the evaluation of the R-square (coefficient of determination), the F-test, the interpretation of the beta coefficient(s)...