复制 classDefaultTrainer(SimpleTrainer):model=self.build_model(cfg)--->##/detectron2/engine/defaults.py defbuild_model(cls,cfg):model=build_model(cfg)--->##detectron2/modeling/meta_arch/build.py defbuild_model(cfg):meta_arch=cfg.MODEL.META_ARCHITECTUREreturnMETA_ARCH_REGISTRY.get(meta_arch)...
self.G = build_network(cfg.TRAINER.DDAIG.G_ARCH, verbose=cfg.VERBOSE) self.G.to(self.device) print('# params: {:,}'.format(count_num_param(self.G))) self.optim_G = build_optimizer(self.G, cfg.OPTIM) 3 changes: 1 addition & 2 deletions 3 dassl/engine/trainer.py Original file...
aclgrphBuildModel支持的配置参数 表1 aclgrphBuildModel支持的配置参数 参数 说明 INPUT_FORMAT 输入数据格式。 支持NCHW、NHWC、ND三种格式。 如果同时开启AIPP,在进行推理业务时,输入图片数据要求为NHWC排布。该场景下INPUT_FORMAT参数指定的数据格式不生效。 说明:
rungo buildon any gotk3 code Expected behavior go build with no errors Error messages MINGW64 /c/Users/AUSER/go-gtk $ go build -x WORK=C:\msys64\tmp\go-build899821325 mkdir -p $WORK\b004\ cat >C:\msys64\tmp\go-build899821325\b004\importcfg << 'EOF' # internal # import config ...
We develop S32K324 with RTD2.0.0 MCAL now, but we meet build code error when we add ICU model to our code base. In Icu_Ipw_BOARD_InitPeripherals_PBcfg.h, auto declare below two array. extern const Icu_Ipw_ChannelConfigType Icu_Ipw_IpChannelConfig_BOARD_INITPERIPHERALS[4U];extern co...
该参数需要配置为配置文件路径及文件名,例如:/home/test/customize_dtypes.cfg。 参数值约束: 配置文件中列举需要自定义计算精度的算子名称或算子类型,每个算子单独一行,且算子类型必须为基于IR定义的算子的类型。 对于同一个算子,如果同时配置了算子名称和算子类型,编译时以算子名称为准。 指定某个算子的...
losses = get_losses(cfg) train_val(model, loaders, optimizer, scheduler, losses, metrics) 開發者ID:doublechenching,項目名稱:brats_segmentation-pytorch,代碼行數:18,代碼來源:train_val.py 示例2: main ▲點讚 6▼ # 需要導入模塊: import models [as 別名]# 或者: from models importbuild_model[as...
model =build_model(cfg, num_classes) loss_func = make_loss(cfg, num_classes) trainer = BaseTrainer(cfg, model, train_dl, val_dl, loss_func, num_query, num_gpus)forepochinrange(trainer.epochs):forbatchintrainer.train_dl: trainer.step(batch) ...
setup.cfg AbstractExtendedToken annotation should be allowed under all Structur… Nov 26, 2012 setup.py version bump Mar 14, 2019 README GPL-3.0 license PyNLPl, pronounced as 'pineapple', is a Python library for Natural Language Processing. It contains various modules useful for common, and ...
$ cat types.cfg type_1(){ cpus_per_node=16 gpus_per_node=2 node_memory=96 } type_2(){ cpus_per_node=48 gpus_per_node=0 node_memory=128 } $enqueue_compss --heterogeneous --master=type_1 --workers=type_1:2,type_2:2 --types_cfg=types.cfg --lang=c appName appArgs ...