st = time.time() output = model.generate(input_ids, max_new_tokens=args.n_predict) end = time.time() output_str = tokenizer.decode(output[0], skip_special_tokens=True) print(f'Inference time: {end-st} s') print('-'*20, 'Output', '-'*20) print(output_str)0...
Expand Up@@ -10,11 +10,7 @@ import { setupHtmlPlugin } from './html'; exportfunctionsetupVitePlugins(viteEnv:Env.ImportMeta,buildTime:string){ constplugins:PluginOption=[ vue({ script:{ defineModel:true } }), vue(), vueJsx(), ...
After a successful execution, optimize_dl_model_for_inference sets the parameter 'precision_is_converted' to 'true' for the output model DLModelHandleConverted. In addition, the device in DLDeviceHandle is automatically set for the model if it supports the precision set by the parameter ...
queryModel Remotion.Linq.QueryModel 查询。 asyncQuery Boolean 如果编译异步查询,则为 True;否则为 false。 适用于 产品版本 Entity Framework Core 2.0, 2.1, 2.2 在GitHub 上与我们协作 可以在 GitHub 上找到此内容的源,还可以在其中创建和查看问题和拉取请求。 有关详细信息,请参阅参与者指...
If integer is True than we solve the problem of finding the best routes to be used without column generation. '''self.integer = integerifself.patternsisNone: self.genInitialPatterns()# Creating master Model:master = Model("Master problem")# Creating pricer:ifnotinteger: ...
# 需要导入模块: from cobra import Model [as 别名]# 或者: from cobra.Model importoptimize[as 别名]# or cplex. If a solver which supports quadratic programming is installed, this# function will return its name.print(solvers.get_solver_name(qp=True))# Prints:# gurobic = Metabolite("c") ...
It is especially true in steam power generation, where automation is indispensable for the operation of the large boilers that generate the steam used to drive the turbines. Here, such a union provides the ideal basis for minimizing thermal stress - the cause of shortened lifetime - as well ...
- Enable fusing: True- Enable grouped convolutions fusing: True- Move mean values to preprocess section: False- Reverse input channels: FalseTensorFlow specific parameters:- Input model in text protobuf format: False- Path to model dump for TensorBoard: None- List of shared l...
by default each worker process loads its own copy of the model. This can reduce the available instance memory for other models. You can optimize memory utilization by sharing a single model between worker processes by setting ...
(config_path, trained=True).eval()# Set a new cell_anchors attributes to PyTorch model.model.cell_anchors = [c.contiguous()forcinmodel.anchor_generator.cell_anchors] fields = {"pred_boxes": Boxes,"scores": Tensor,"pred_classes": Tensor, } script_model = scr...