tf.data.experimental.prefetch_to_device

A transformation that prefetches dataset values to the given device.

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

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

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.

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