TestUpd.py 文件源码

python
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项目:How-to-Learn-from-Little-Data 作者: llSourcell 项目源码 文件源码
def omniglot():

    sess = tf.InteractiveSession()

    """    def wrapper(v):
        return tf.Print(v, [v], message="Printing v")

    v = tf.Variable(initial_value=np.arange(0, 36).reshape((6, 6)), dtype=tf.float32, name='Matrix')

    sess.run(tf.global_variables_initializer())
    sess.run(tf.local_variables_initializer())

    temp = tf.Variable(initial_value=np.arange(0, 36).reshape((6, 6)), dtype=tf.float32, name='temp')
    temp = wrapper(v)
    #with tf.control_dependencies([temp]):
    temp.eval()
    print 'Hello'"""

    def update_tensor(V, dim2, val):  # Update tensor V, with index(:,dim2[:]) by val[:]
        val = tf.cast(val, V.dtype)
        def body(_, (v, d2, chg)):
            d2_int = tf.cast(d2, tf.int32)
            return tf.slice(tf.concat_v2([v[:d2_int],[chg] ,v[d2_int+1:]], axis=0), [0], [v.get_shape().as_list()[0]])
        Z = tf.scan(body, elems=(V, dim2, val), initializer=tf.constant(1, shape=V.get_shape().as_list()[1:], dtype=tf.float32), name="Scan_Update")
        return Z
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