Remove unnecessary test

Author: Ch0ronomato

tests/link/pytorch/test_blockwise.py

@@ -3,39 +3,12 @@
 
 import pytensor
 import pytensor.tensor as pt
-from pytensor.graph.replace import vectorize_node
-from pytensor.tensor import tensor
-from pytensor.tensor.blockwise import Blockwise
-from pytensor.tensor.nlinalg import MatrixInverse
 from pytensor.tensor.shape import specify_broadcastable
 
 
 torch = pytest.importorskip("torch")
 
 
-def test_vectorize_blockwise():
-    mat = tensor(shape=(None, None))
-    tns = tensor(shape=(None, None, None))
-
-    # Something that falls back to Blockwise
-    node = MatrixInverse()(mat).owner
-    vect_node = vectorize_node(node, tns)
-    assert isinstance(vect_node.op, Blockwise) and isinstance(
-        vect_node.op.core_op, MatrixInverse
-    )
-    assert vect_node.op.signature == ("(m,m)->(m,m)")
-    assert vect_node.inputs[0] is tns
-
-    # Useless blockwise
-    tns4 = tensor(shape=(5, None, None, None))
-    new_vect_node = vectorize_node(vect_node, tns4)
-    assert new_vect_node.op is vect_node.op
-    assert isinstance(new_vect_node.op, Blockwise) and isinstance(
-        new_vect_node.op.core_op, MatrixInverse
-    )
-    assert new_vect_node.inputs[0] is tns4
-
-
 def test_blockwise_broadcast():
     _x = np.random.rand(5, 1, 2, 3)
     _y = np.random.rand(3, 3, 2)