tf.contrib.layers.repeat

Applies the same layer with the same arguments repeatedly.

tf.contrib.layers.repeat(
    inputs, repetitions, layer, *args, **kwargs
)

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	A Tensor 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.