As I've seen there is a numpy extension for bfloat16 in tensorflow:
https://github.com/tensorflow/tensorflow/blob/24ffe9f729160a095a5cab8f5923920182803182/tensorflow/python/lib/core/bfloat16_wrapper.cc
This extension can be enabled by calling RegisterNumpyBfloat16. Or at least it should. I've installed tensorflow 2.4.1 and tried to enable the extension, but I just get this error:
> tf.RegisterNumpyBfloat16()
---------------------------------------------------------------------------
AttributeError Traceback (most recent call last)
<ipython-input-6-4f89beb80796> in <module>
----> 1 tf.RegisterNumpyBfloat16()
AttributeError: module 'tensorflow' has no attribute 'RegisterNumpyBfloat16'
Does anyone see what I do wrong? Or how can this numpy-extension be enabled?
Thank you very much
I just tried this on TensorFlow 2.4.0 and NumPy 1.19.4.
import numpy as np
import tensorflow as tf
bfloat16 = tf.bfloat16.as_numpy_dtype
np.array([1.0, 2.0, 3.0], dtype=bfloat16)
# array([bfloat16(1), bfloat16(2), bfloat16(3)], dtype=bfloat16)
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