As the title says I'm trying to save a TensorSliceDataset
object to file. Viewing tensorflow's website it seems that the tf.data.Dataset
class has a save function but it is not implemented for TensorSliceDataset
objects. Pickling also did not work for me.
Example code
import tensorflow as tf
t = tf.range(10)
ds = tf.data.Dataset.from_tensor_slices(t)
ds.save()
returns error: AttributeError: 'TensorSliceDataset' object has no attribute 'save'
With Tensorflow 2.10.0
, you can use tf.data.Dataset.save
:
import tensorflow as tf
print(tf.__version__)
# 2.10.0
path = '/content/'
t = tf.range(10)
ds = tf.data.Dataset.from_tensor_slices(t)
tf.data.Dataset.save(ds, path)
new_ds = tf.data.Dataset.load(path)
Otherwise, use tf.data.experimental.save
for older versions:
import tensorflow as tf
path = '/content/'
t = tf.range(10)
ds = tf.data.Dataset.from_tensor_slices(t)
tf.data.experimental.save(ds, path)
new_ds = tf.data.experimental.load(path)