prefetch_generator的使用可以加速。pip install prefetch_generator用法如下,用DataLoaderX替换Dataloader。 预期可能有10-15%的性能增益。 # 新建DataLoaderX类fromtorch.utils.dataimportDataLoaderfromprefetch_generatorimportBackgroundGeneratorclassDataLoaderX(DataLoader):def__iter__(self):returnBackgroundGenerator(super(...
batch_sampler=None,num_workers=0,collate_fn=None,pin_memory=False,drop_last=False,timeout=0,worker_init_fn=None,multiprocessing_context=None,generator=None,*,prefetch_factor=2,persistent_workers=False,pin_memory_device='')
drop_last=False,timeout=0,worker_init_fn=None,multiprocessing_context=None,generator=None,*,prefetch_factor=None,persistent_workers=False,pin_memory_device='') Data loader. Combines a dataset and a sampler, and provides an iterable over the given dataset. TheDataLoadersupports both map-style and...
Greenlet greenlet(手动切换)是一个用C实现的协程模块,相比与python自带的yield,它可以使你在任意函数之间随意切换,而不需把这个函数先声明为generator #-*- coding:utf-8 -*-fromgreenletimportgreenletdeftest1():print(12) gr2.switch()print(34) gr2.switch()deftest2():print(56) gr1.switch()print(78)...
generator=None, *, prefetch_factor=2, persistent_workers=False ) [source] Data loader. Combines a dataset and a sampler, and provides an iterable over the given dataset. The DataLoader supports both map-style and iterable-style datasets with single- or multi-process loading, customizing loading...
@TOC前言本文只是对于pytorch深度学习框架的使用方法的介绍,如果涉及算法中复杂的数学原理,本文将不予阐述,敬请读者自行阅读相关论文或者文献。1.tensor基...
感觉确实用着比generator还简单了呢,但好像还没有解决一个问题,就是遇到IO操作,自动切换,对不对? Gevent Gevent 是一个第三方库,可以轻松通过gevent实现并发同步或异步编程,在gevent中用到的主要模式是Greenlet, 它是以C扩展模块形式接入Python的轻量级协程。 Greenlet全部运行在主程序操作系统进程的内部,但它们被...
['label']batch_size = 4if is_train_dataset is not None:#tf.data.experimental.AUTOTUNE#根据计算机性能进行运算速度的调整dataset = dataset.map(_parse_example).shuffle(buffer_size=2000).batch(batch_size).prefetch(tf.data.experimental.AUTOTUNE)else:dataset = dataset.map(_parse_example)dataset = ...
prefetch_generator==1.0.3 < prettytable==3.11.0 | prettytable==3.12.0 prometheus_client==0.20.0 | prometheus_client==0.21.1 prompt_toolkit==3.0.47 | prompt_toolkit==3.0.48 prophet==1.1.5 | propcache==0.2.1 proto-plus==1.24.0 | prophet==1.1.6 ...
prefetch_generator==1.0.3 < prettytable==3.11.0 | prettytable==3.12.0 prometheus_client==0.20.0 | prometheus_client==0.21.1 prompt_toolkit==3.0.47 | prompt_toolkit==3.0.48 prophet==1.1.5 | propcache==0.2.1 proto-plus==1.24.0 | prophet==1.1.6 > proto-plus==1.25.0 psycopg2=...