tf.contrib.layers.repeat(
inputs,
repetitions,
layer,
*args,
**kwargs
)
Defined in tensorflow/contrib/layers/python/layers/layers.py
.
Applies the same layer with the same arguments repeatedly.
y = repeat(x, 3, conv2d, 64, [3, 3], scope='conv1')
# It is equivalent to:
x = conv2d(x, 64, [3, 3], scope='conv1/conv1_1')
x = conv2d(x, 64, [3, 3], scope='conv1/conv1_2')
y = conv2d(x, 64, [3, 3], scope='conv1/conv1_3')
If the scope
argument is not given in kwargs
, it is set to
layer.__name__
, or layer.func.__name__
(for functools.partial
objects). If neither __name__
nor func.__name__
is available, the
layers are called with scope='stack'
.
Args:
inputs
: ATensor
suitable for layer.repetitions
: Int, number of repetitions.layer
: A layer with arguments(inputs, *args, **kwargs)
*args
: Extra args for the layer.**kwargs
: Extra kwargs for the layer.
Returns:
A tensor result of applying the layer, repetitions times.
Raises:
ValueError
: If the op is unknown or wrong.