I want to run a git project used pytorch and torchtext but when I run it, it raise error:
File "main.py", line 60, in <module>
main()
File "main.py", line 50, in main
train_iters, dev_iters, test_iters, vocab = load_dataset(config)
File "/home/esmailza/style transfer/style-transformer/data.py", line 23, in load_dataset
TEXT = data.Field(batch_first=True, eos_token='<eos>')
AttributeError: module 'torchtext.data' has no attribute 'Field'
torch version = 1.8.0 torchtext version = 0.9
def load_dataset(config, train_pos='train.pos', train_neg='train.neg',
dev_pos='dev.pos', dev_neg='dev.neg',
test_pos='test.pos', test_neg='test.neg'):
root = config.data_path
TEXT = data.Field(batch_first=True, eos_token='<eos>')
dataset_fn = lambda name: data.TabularDataset(
path=root + name,
format='tsv',
fields=[('text', TEXT)]
)
2 Answers
From TorchText 0.9.0 Release Notes
torchtext.data.Field->torchtext.legacy.data.Field
This means, all features are still available, but withintorchtext.legacyinstead oftorchtext.
torchtext.data.Field has been moved to torchtext.legacy.data.Field
And the imports would change this way:
from torchtext.legacy import data
Thanks, @Rishabh Kumar answer as well, this works for me!
From TorchText 0.9.0 Release Notes
Based on v0.9 release
The current users of the legacy code will experience BC breakage as we have retired the legacy code (#1172, #1181, #1183). The legacy components are placed in torchtext.legacy.data folder as follows:
torchtext.data.Pipeline -> torchtext.legacy.data.Pipeline
torchtext.data.Batch -> torchtext.legacy.data.Batch
torchtext.data.Example -> torchtext.legacy.data.Example
torchtext.data.Field -> torchtext.legacy.data.Field
torchtext.data.Iterator -> torchtext.legacy.data.Iterator
torchtext.data.Dataset -> torchtext.legacy.data.Dataset
This means, all features are still available, but within torchtext.legacy instead of torchtext.
