tf.data.experimental.prefetch_to_device
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A transformation that prefetches dataset values to the given 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.
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Last updated 2022-11-04 UTC.
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