(tuple, param_ids)) torch._dynamo.exc.BackendCompilerFailed: backend='inductor' raised: TypeError: 'int' object is not iterable You can suppress this exception and fall back to eager by setting: import torch._dynamo torch._dynamo.config.suppress_errors = True During handling of the above ...
torch.utils.data.ChainDataset: 用于连接多个IterableDataset数据集,在IterableDataset的__add__()方法中被调用 torch.utils.data.Subset: 用于获取指定一个索引序列对应的子数据集 代码语言:javascript 代码运行次数:0 运行 AI代码解释 classSubset(Dataset[T_co]):dataset:Dataset[T_co]indices:Sequence[int]def__...
以使多次训练的过程中不发生较大的变化(到同一个epoch时会得到同样的模型). 输入是int或long. 如果是在GPU上运行模型, 则需要使用torch.cuda.manual_seed(args.seed) 函数来为当前GPU设置随机种子;如果使用多个GPU,应该使用torch.cuda.manual_seed_all()为所有的...
worker_init_fn (callable, optional)– If not None, this will be called on each worker subprocess with the worker id (an int in [0, num_workers - 1]) as input, after seeding and before data loading. (default: None) prefetch_factor (int, optional, keyword-only arg)– Number of sampl...
If this is undesirable, you can try to make the operation deterministic (potentially at a performance cost) by setting torch.backends.cudnn.deterministic = True. Please see the notes on Reproducibility for background. Parameters in_channels (int)– Number of channels in the input image out_...
classBatchSampler(object):"""Wraps another sampler to yield a mini-batch of indices. Args: sampler (Sampler): Base sampler. batch_size (int): Size of mini-batch. drop_last (bool): If ``True``, the sampler will drop the last batch if its size would be less than ``batch_size`` ...
last_epoch (int)– The index of the last batch. This parameter is used when resuming a training job. Since step() should be invoked after each batch instead of after each epoch, this number represents the total number of batches computed, not the total number of epochs computed. When last...
class _LRScheduler(object): def __init__(self, optimizer, last_epoch=-1, verbose=False): # Attach optimizer if not isinstance(optimizer, Optimizer): raise TypeError('{} is not an Optimizer'.format( type(optimizer).__name__)) self.optimizer = optimizer # Initialize epoch and base learnin...
[retinanet] AttributeError: ‘NoneType‘ object has no attribuYou can only torch.load from a file that,程序员大本营,技术文章内容聚合第一站。
torch.utils.data.ChainDataset : 用于连接多个 IterableDataset 数据集,在 IterableDataset 的__add__() 方法中被调用 torch.utils.data.Subset: 用于获取指定一个索引序列对应的子数据集 class Subset(Dataset[T_co]): dataset: Dataset[T_co] indices: Sequence[int] def __init__(self, dataset: Dataset...