tf.contrib.tpu.while_loop(
condition,
body,
inputs=None,
infeed_queue=None,
name=None
)
Defined in tensorflow/contrib/tpu/python/tpu/training_loop.py
.
Builds a training loop for TPUs.
The set of loop-carried tensors corresponds to inputs
. Both
condition
and body
take the current value of the loop-carried
tensors. 'body' additionally takes a tuple of infeed from
infeed_queue if infeed_queue is not None. condition
must return a
single boolean value that determines whether iteration
continues. body
must return an updated list of values for the
loop-carried tensors.
Args:
condition
: a Python function that builds the loop condition.body
: a Python function that builds the loop body.inputs
: a list of initial values passed into the training loop, or None (equivalent to an empty list).infeed_queue
: if not None, the infeed queue from which to append a tuple of arguments as inputs to condition.name
: (Deprecated) Does nothing.
Returns:
The final values of the loop-carried tensors.
Raises:
TypeError
: if body or condition has the wrong signature.