This is a simple library to parse .tfrecord files without having to use TensorFlow, so that it is easier to use in a framework-agnostic way. It is written using nanopb and Cython.
In [1]: from tfrecord_lite import tf_record_iterator
...:
...: it = tf_record_iterator('nsynth-test.tfrecord')
...: next(it)
...:
Out[1]:
{'audio': array([ 3.8138387e-06, -3.8721851e-06, 3.9331076e-06, ...,
-3.6526076e-06, 3.7041993e-06, -3.7578957e-06], dtype=float32),
'instrument': array([417], dtype=int64),
'instrument_family': array([0], dtype=int64),
'instrument_family_str': [b'bass'],
'instrument_source': array([2], dtype=int64),
'instrument_source_str': [b'synthetic'],
'instrument_str': [b'bass_synthetic_033'],
'note': array([149013], dtype=int64),
'note_str': [b'bass_synthetic_033-100-100'],
'pitch': array([100], dtype=int64),
'qualities': array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0], dtype=int64),
'sample_rate': array([16000], dtype=int64),
'velocity': array([100], dtype=int64)}pip install tfrecord_lite- encoder/writer