def to_trans(input):
if len(input.get_shape()) == 4:
input = layers.flatten(input)
num_inputs = input.get_shape()[1]
W_init = tf.constant_initializer(np.zeros((num_inputs, 2)))
b_init = tf.constant_initializer(np.array([0.,0.]))
return layers.fully_connected(input, 2,
weights_initializer=W_init,
biases_initializer=b_init)
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