tf.contrib.tpu.while_loop( condition, body, inputs=None, infeed_queue=None, name=None )
Builds a training loop for TPUs.
The set of loop-carried tensors corresponds to
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
body must return an updated list of values for the
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.
The final values of the loop-carried tensors.
TypeError: if body or condition has the wrong signature.