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 within torchtext.legacy instead of torchtext.
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 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.
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