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)]
)
Thanks, @Rishabh Kumar answer as well, this works for me!
From TorchText 0.9.0 Release Notes
Based on v0.9 release https://github.com/pytorch/text/releases/tag/v0.9.0-rc5
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.
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