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.
|