tf.contrib.layers.repeat(inputs, repetitions, layer, *args, **kwargs)
Applies the same layer with the same arguments repeatedly.
1 2 3 4 5 6 | 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: ATensorsuitable 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.
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