AttributeError: 'BucketIterator' object has no attribute

[muhammadfhadli1453]

I’m doing seq2seq machine translation on my own dataset. I have preproceed my dataset using this code.

def tokenize_word(text):
  return nltk.word_tokenize(text)

id = Field(sequential=True, tokenize = tokenize_word, lower=True, init_token="<sos>", eos_token="<eos>")
ti = Field(sequential=True, tokenize = tokenize_word, lower=True, init_token="<sos>", eos_token="<eos>")

fields = {'id': ('i', id), 'ti': ('t', ti)}

train_data = TabularDataset.splits(
    path='/content/drive/MyDrive/Colab Notebooks/Tidore/',
    train = 'id_ti.tsv',
    format='tsv',
    fields=fields
)[0]

id.build_vocab(train_data)
ti.build_vocab(train_data)

print(f"Unique tokens in source (id) vocabulary: {len(id.vocab)}")
print(f"Unique tokens in target (ti) vocabulary: {len(ti.vocab)}")

train_iterator = BucketIterator.splits(
    train_data,
    batch_size = batch_size,
    sort_within_batch = True,
    sort_key = lambda x: len(x.id),
    device = device
)

The output of code above is below:

Unique tokens in source (id) vocabulary: 1425
Unique tokens in target (ti) vocabulary: 1297

The problem comes when i tried to split train_data using BucketIterator.split(). When I want to print the value of _trainiterator, It says that it has no attribute 'i', eventough i had declare the fields. Here is my code to print it:

for data in train_iterator:
  print(data.i)

The output of code above is below:

AttributeError                            Traceback (most recent call last)

<ipython-input-9-322cc3aa78d6> in <module>()
      1 for data in train_iterator:
----> 2   print(data.i)

AttributeError: 'BucketIterator' object has no attribute 'i'

When i try just to print data, the result makes me more confuse:

I am very confuse, because i don’t know what key i should use for train iterator. Thank you for your help

[gmihaila]

Can you try and print data.__dict__ to see how the object looks like?