def _fully_connected_v2(self, x, name, out_dim):
"""FullyConnected layer for final output."""
#x = tf.reshape(x, [self.hps.batch_size, -1])
with tf.variable_scope(name):
w = tf.get_variable(
'DW', [x.get_shape()[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.xw_plus_b(x, w, b)
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