The tfrecord library enables efficient reading and writing of TensorFlow TFRecord format files in Python. It provides TFRecordDataset and MultiTFRecordDataset classes that implement PyTorch’s IterableDataset interface, allowing seamless integration with PyTorch DataLoader for batching and multi-worker training. The library supports both compressed and uncompressed TFRecords and includes utilities for creating index files to ensure proper multi-worker data loading.