def _fully_convolutional(self, x, out_dim):
"""FullyConvolutional layer for final output."""
w = tf.get_variable(
'DW', [1, 1, self.filters[-1], out_dim],
initializer=tf.uniform_unit_scaling_initializer(factor=1.0))
b = tf.get_variable('biases', [out_dim],
initializer=tf.constant_initializer())
return tf.nn.conv2d(x, w, self._stride_arr(1), padding='SAME') + b
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