The main reason is that the network contains the unknown shape tensor.
I use tf.placeholder(tf.float, name=““), but i did not specify the shape. It works fine with
tf.placeholder(tf.float, [none, 1],name=””)
The main reason is that the network contains the unknown shape tensor.
I use tf.placeholder(tf.float, name=““), but i did not specify the shape. It works fine with
tf.placeholder(tf.float, [none, 1],name=””)