遍历Torchtext.data.BucketIterator对象将引发AttributeError'Field'对象没有属性'vocab'

问题描述

当我尝试查看批处理时，通过打印BucketIterator对象的下一次迭代，将抛出AttributeError.

When I try to look into a batch, by printing the next iteration of the BucketIterator object, the AttributeError is thrown.

tv_datafields=[("Tweet",TEXT), ("Anger",LABEL), ("Fear",LABEL), ("Joy",LABEL), ("Sadness",LABEL)]
train, vld = data.TabularDataset.splits(path="./data/", train="train.csv",validation="test.csv",format="csv", fields=tv_datafields)

train_iter, val_iter = BucketIterator.splits(
(train, vld),
batch_sizes=(64, 64),
device=-1,
sort_key=lambda x: len(x.Tweet),
sort_within_batch=False,
repeat=False
)
print(next(iter(train_dl)))

推荐答案

我不确定您遇到的具体错误，但是在这种情况下，您可以使用以下代码遍历一个批处理:

I am not sure about the specific error you are getting but, in this case, you can iterate over a batch by using the following code:

for i in train_iter:
    print i.Tweet
    print i.Anger
    print i.Fear
    print i.Joy
    print i.Sadness

i.Tweet(也是其他)是形状为(input_data_length, batch_size)的张量.

i.Tweet (also others) is a tensor of shape (input_data_length, batch_size).

因此，要查看单个批处理数据(比如说批处理0)，可以执行print i.Tweet[:,0].

So, to view a single batch data (lets say batch 0), you can do print i.Tweet[:,0].

val_iter(和test_iter，如果需要)也一样.

Same goes for val_iter (and test_iter, if needed).

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