tf.data.experimental.prefetch_to_device

A transformation that prefetches dataset values to the given device.

View aliases

Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.data.experimental.prefetch_to_device

tf.data.experimental.prefetch_to_device(
    device, buffer_size=None
)

Note: Although the transformation creates a tf.data.Dataset, the transformation must be the final Dataset in the input pipeline.

For example,

>>> dataset = tf.data.Dataset.from_tensor_slices([1, 2, 3])
>>> dataset = dataset.apply(tf.data.experimental.prefetch_to_device("/cpu:0"))
>>> for element in dataset:
...   print(f'Tensor {element} is on device {element.device}')
Tensor 1 is on device /job:localhost/replica:0/task:0/device:CPU:0
Tensor 2 is on device /job:localhost/replica:0/task:0/device:CPU:0
Tensor 3 is on device /job:localhost/replica:0/task:0/device:CPU:0

Args
device	A string. The name of a device to which elements will be prefetched.
buffer_size	(Optional.) The number of elements to buffer on device. Defaults to an automatically chosen value.

Returns
A Dataset transformation function, which can be passed to tf.data.Dataset.apply.