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Simple ETL Pipeline for PyTorch

Project description

PyTorch Pipeline: Simple ETL Pipeline for PyTorch

PyTorch Pipeline is a simple ETL framework for PyTorch. It is an alternative to in TensorFlow


  • Python 3.6+
  • PyTorch 1.2+


To install PyTorch Pipeline:

pip install pytorch_pipeilne

Basic Usage

import pytorch_pipeilne as pp

d = pp.TextDataset('/path/to/your/text')

Usage with PyTorch

from import DataLoader
import pytorch_pipeilne as pp

d = pp.Dataset(range(1_000)).parallel().shuffle(100).batch(10)
loader = DataLoader(d, num_workers=4, collate_fn=lambda x: x)
for x in loader:

Usage with LineFlow

You can use PyTorch Pipeline with pre-defined datasets in LineFlow:

from import DataLoader
from lineflow.datasets.wikitext import cached_get_wikitext
import pytorch_pipeilne as pp

dataset = cached_get_wikitext('wikitext-2')
# Preprocessing dataset
train_data = pp.Dataset(dataset['train']) \
    .flat_map(lambda x: x.split() + ['<eos>']) \
    .window(35) \
    .parallel() \
    .shuffle(64 * 100) \

# Iterating dataset
loader = DataLoader(train_data, num_workers=4, collate_fn=lambda x: x)
for x in loader:

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pytorch-pipeline-0.0.1.tar.gz (14.4 kB view hashes)

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