# If DataLoader is iterable, use for loop to train the network def train_iterable(exe, prog, loss, loader): for _ in range(EPOCH_NUM): for data in loader(): exe.run(prog, feed=data, fetch_list=[loss]) # If Data
.. warning:: If ``spawn`` start method is used, :attr:`worker_init_fn` cannot be an unpicklable object, e.g., a lambda function."""__initialized=Falsedef__init__(self, dataset, batch_size=1, shuffle=False, sampler=None, batch_sampler=None, num_workers=0, collate_fn=default_coll...
classSampler(object):r"""Base class for all Samplers. Every Sampler subclass has to provide an __iter__ method, providing a way to iterate over indices of dataset elements, and a __len__ method that returns the length of the returned iterators. """def__init__(self,data_source):pass ...
官方对DataLoader的说明是:“数据加载由数据集和采样器组成,基于python的单、多进程的iterators来处理数据。”关于iterator和iterable的区别和概念请自行查阅,在实现中的差别就是iterators有__iter__和__next__方法,而iterable只有__iter__方法。 1.DataLoader 先介绍一下DataLoader(object)的参数: dataset(Dataset): ...
class Sampler(object): r"""Base class for all Samplers. Every Sampler subclass has to provide an :meth:`__iter__` method, providing a way to iterate over indices of dataset elements, and a :meth:`__len__` method that returns the length of the returned iterators. ...
dataset.get_length)#输出 <bound method MyDataset.get_length of <__main__.MyDataset object at ...
Creating an object where each key is aDataLoaderis one common pattern which provides a single value to pass around to code which needs to perform data loading, such as part of theroot_valuein aGraphQLrequest. Loading by alternative keys. ...
builtins.TypeError: 'NoneType' object is not iterable During handling of the above exception, another exception occurred: File "/Users/benweinstein/Documents/tmp/DeepForest/deepforest/repo_val_error.py", line 79, in <module> run(fast_dev_run=True, create_validation=False) ...
.. warning:: If ``spawn`` start method is used, :attr:`worker_init_fn` cannot be an unpicklable object, e.g., a lambda function. """__initialized =Falsedef__init__(self, dataset, batch_size=1, shuffle=False, sampler=None, batch_sampler=None, ...
classSampler(object):# """Base class for all Samplers.# Every Sampler subclass has to provide an __iter__ method, providing a way# to iterate over indices of dataset elements, and a __len__ method that# returns the length of the returned iterators.# """# 一个 迭代器 基类def__init...