I'm afraid I haven't made my point clear. By using has_type, we can match to a
specific dtype, but the shape of tensor is also fixed. By using wildcard(), we
can match to (**AnyShape**, **AnyType**). How to achieve something like
has_type((**AnyShape**, 'float32'))?
```
in1 = wildcard()
in2 = wildcard()
pat = is_op('add')(in1, in2).has_type(relay.TensorType((10, 10), 'float32'))
x = relay.var('x', shape=(10, 10), dtype='float32')
pat.match(relay.add(x, x))
```
Thanks
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