tf.contrib.tpu.infeed_enqueue
An op which feeds a single Tensor value into the computation.
tf.contrib.tpu.infeed_enqueue( input, shape=[], layout=[], device_ordinal=-1, name=None )
Args | |
---|---|
input | A Tensor . A tensor that will be provided using the infeed mechanism. |
shape | An optional tf.TensorShape or list of ints . Defaults to [] . The shape of the tensor. |
layout | An optional list of ints . Defaults to [] . A vector holding the requested layout in minor-to-major sequence. If a layout attribute is passed, but its values are all -1, the layout will be computed by the infeed operation. |
device_ordinal | An optional int . Defaults to -1 . The TPU device to use. This should be -1 when the Op is running on a TPU device, and >= 0 when the Op is running on the CPU device. |
name | A name for the operation (optional). |
Returns | |
---|---|
The created Operation. |
© 2020 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r1.15/api_docs/python/tf/contrib/tpu/infeed_enqueue