Allow NumPy-only arguments to theano.tensor.dot

tests/tensor/test_basic.py

@@ -71,6 +71,7 @@ from tests.tensor.utils import (
 from theano import change_flags, compile, config, function, gof, shared
 from theano.compile import DeepCopyOp
 from theano.compile.mode import get_default_mode
+from theano.gof.graph import Variable
 from theano.scalar import autocast_float, autocast_float_as
 from theano.tensor import (
     Alloc,
@@ -3648,6 +3649,15 @@ class TestMatinv:
         assert_almost_equal(ssd, myssd)
 
 
+def test_dot_numpy_inputs():
+    """Test the `theano.tensor.dot` interface function with NumPy inputs."""
+    a = np.ones(2)
+    b = np.ones(2)
+    res = tt.dot(a, b)
+    assert isinstance(res, Variable)
+    assert isinstance(res.owner.op, Dot)
+
+
 class TestDot:
     def setup_method(self):
         utt.seed_rng()

theano/tensor/basic.py

@@ -6311,6 +6311,13 @@ def dot(l, r):
 
     This is designed to work with both sparse and dense tensors types.
     """
+
+    if not isinstance(l, Variable):
+        l = as_tensor_variable(l)
+
+    if not isinstance(r, Variable):
+        r = as_tensor_variable(r)
+
     try:
         res = l.__dot__(r)
         if res is NotImplemented: