tf.shape() get wrong shape in tensorflow

Question

I define a tensor like this:

x = tf.get_variable(\"x\", [100])

But when I try to print shape of tensor :

print( tf.shape(x) )

Answer 1

Just a quick example, to make things clear:

a = tf.Variable(tf.zeros(shape=(2, 3, 4)))
print('-'*60)
print("v1", tf.shape(a))
print('-'*60)
print("v2", a.get_shape())
print('-'*60)
with tf.Session() as sess:
    print("v3", sess.run(tf.shape(a)))
print('-'*60)
print("v4",a.shape)

Output will be:

------------------------------------------------------------
v1 Tensor("Shape:0", shape=(3,), dtype=int32)
------------------------------------------------------------
v2 (2, 3, 4)
------------------------------------------------------------
v3 [2 3 4]
------------------------------------------------------------
v4 (2, 3, 4)

Also this should be helpful: How to understand static shape and dynamic shape in TensorFlow?