tf.contrib.tpu.repeat

Builds a training loop that executes a fixed number of iterations.

tf.contrib.tpu.repeat(
    n, body, inputs=None, infeed_queue=None, name=None
)

The set of loop-carried tensors correspond to inputs. body must be a function that takes and returns the values of the loop-carried tensors.

Args
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.

Returns
The final values of the loop-carried tensors.

Raises
ValueError	if there is a type error.