pose_model.py 文件源码

def _fully_connected(self, x, out_dim):
    """FullyConnected layer for final output."""
    x = tf.reshape(x, [self.hps.batch_size, -1])
    #print "*** ", x.get_shape()
    w = tf.get_variable(
        'DW', [x.get_shape()[1], out_dim],
        initializer=tf.uniform_unit_scaling_initializer(factor=1.0))
    #print "*** ", w.get_shape()
    b = tf.get_variable('biases', [out_dim],
                        initializer=tf.constant_initializer())
    #print "*** ", b.get_shape()
    aaa = tf.nn.xw_plus_b(x, w, b)
    #print "*** ", aaa.get_shape()
    return tf.nn.xw_plus_b(x, w, b)