Implements types property for elementwise functions (#1361)

* Implements ``types`` property for elementwise functions
- Output corresponds with Numpy's: a list with an arrow marking the domain to range type map

* Added tests for behavior of types property

Author: ndgrigorian

dpctl/tensor/_elementwise_common.py

@@ -29,6 +29,7 @@
 from ._copy_utils import _empty_like_orderK, _empty_like_pair_orderK
 from ._type_utils import (
     _acceptance_fn_default,
+    _all_data_types,
     _find_buf_dtype,
     _find_buf_dtype2,
     _to_device_supported_dtype,
@@ -44,6 +45,7 @@ def __init__(self, name, result_type_resolver_fn, unary_dp_impl_fn, docs):
         self.__name__ = "UnaryElementwiseFunc"
         self.name_ = name
         self.result_type_resolver_fn_ = result_type_resolver_fn
+        self.types_ = None
         self.unary_fn_ = unary_dp_impl_fn
         self.__doc__ = docs
 
@@ -53,6 +55,18 @@ def __str__(self):
     def __repr__(self):
         return f"<{self.__name__} '{self.name_}'>"
 
+    @property
+    def types(self):
+        types = self.types_
+        if not types:
+            types = []
+            for dt1 in _all_data_types(True, True):
+                dt2 = self.result_type_resolver_fn_(dt1)
+                if dt2:
+                    types.append(f"{dt1.char}->{dt2.char}")
+            self.types_ = types
+        return types
+
     def __call__(self, x, out=None, order="K"):
         if not isinstance(x, dpt.usm_ndarray):
             raise TypeError(f"Expected dpctl.tensor.usm_ndarray, got {type(x)}")
@@ -363,6 +377,7 @@ def __init__(
         self.__name__ = "BinaryElementwiseFunc"
         self.name_ = name
         self.result_type_resolver_fn_ = result_type_resolver_fn
+        self.types_ = None
         self.binary_fn_ = binary_dp_impl_fn
         self.binary_inplace_fn_ = binary_inplace_fn
         self.__doc__ = docs
@@ -377,6 +392,20 @@ def __str__(self):
     def __repr__(self):
         return f"<{self.__name__} '{self.name_}'>"
 
+    @property
+    def types(self):
+        types = self.types_
+        if not types:
+            types = []
+            _all_dtypes = _all_data_types(True, True)
+            for dt1 in _all_dtypes:
+                for dt2 in _all_dtypes:
+                    dt3 = self.result_type_resolver_fn_(dt1, dt2)
+                    if dt3:
+                        types.append(f"{dt1.char}{dt2.char}->{dt3.char}")
+            self.types_ = types
+        return types
+
     def __call__(self, o1, o2, out=None, order="K"):
         if order not in ["K", "C", "F", "A"]:
             order = "K"

dpctl/tests/elementwise/test_abs.py

@@ -76,6 +76,15 @@ def test_abs_usm_type(usm_type):
     assert np.allclose(dpt.asnumpy(Y), expected_Y)
 
 
+def test_abs_types_prop():
+    types = dpt.abs.types_
+    assert types is None
+    types = dpt.abs.types
+    assert isinstance(types, list)
+    assert len(types) > 0
+    assert types == dpt.abs.types_
+
+
 @pytest.mark.parametrize("dtype", _all_dtypes[1:])
 def test_abs_order(dtype):
     q = get_queue_or_skip()

dpctl/tests/elementwise/test_add.py

@@ -258,6 +258,15 @@ def __sycl_usm_array_interface__(self):
         dpt.add(a, c)
 
 
+def test_add_types_property():
+    types = dpt.add.types_
+    assert types is None
+    types = dpt.add.types
+    assert isinstance(types, list)
+    assert len(types) > 0
+    assert types == dpt.add.types_
+
+
 def test_add_errors():
     get_queue_or_skip()
     try: