tf.contrib.tpu.repeat( n, body, inputs=None, infeed_queue=None, name=None )
Builds a training loop that executes a fixed number of iterations.
The set of loop-carried tensors correspond to
body must be a function that takes and returns the values of the
n: the number of loop iterations
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.
ValueError: if there is a type error.