Fixed gh-1272

Author: npolina4

dpnp/dpnp_iface.py

@@ -66,7 +66,8 @@
     "dpnp_queue_is_cpu",
     "get_dpnp_descriptor",
     "get_include",
-    "get_normalized_queue_device"
+    "get_normalized_queue_device",
+    "isarray"
 ]
 
 from dpnp import (
@@ -338,3 +339,13 @@ def get_normalized_queue_device(obj=None,
     if hasattr(dpt._device, 'normalize_queue_device'):
         return dpt._device.normalize_queue_device(sycl_queue=sycl_queue, device=device)
     return sycl_queue
+
+
+def isarray(obj):
+    """
+    Return True if:
+      `obj` has a supported array type
+    Return False if:
+      `obj` has an unsupported array type or other data type
+    """
+    return isinstance(obj, (dpnp_array, dpt.usm_ndarray))

dpnp/dpnp_iface_arraycreation.py

@@ -552,7 +552,7 @@ def empty_like(x1,
 
     """
 
-    if not isinstance(x1, dpnp.ndarray):
+    if not dpnp.isarray(x1):
         pass
     elif order not in ('C', 'c', 'F', 'f', None):
         pass
@@ -783,7 +783,7 @@ def full_like(x1,
     [1.0, 1.0, 1.0, 1.0, 1.0, 1.0]
 
     """
-    if not isinstance(x1, dpnp.ndarray):
+    if not dpnp.isarray(x1):
         pass
     elif order not in ('C', 'c', 'F', 'f', None):
         pass
@@ -1211,7 +1211,7 @@ def ones_like(x1,
     [1.0, 1.0, 1.0, 1.0, 1.0, 1.0]
 
     """
-    if not isinstance(x1, dpnp.ndarray):
+    if not dpnp.isarray(x1):
         pass
     elif order not in ('C', 'c', 'F', 'f', None):
         pass
@@ -1524,7 +1524,7 @@ def zeros_like(x1,
     [0.0, 0.0, 0.0, 0.0, 0.0, 0.0]
 
 """
-    if not isinstance(x1, dpnp.ndarray):
+    if not dpnp.isarray(x1):
         pass
     elif order not in ('C', 'c', 'F', 'f', None):
         pass

tests/test_arraycreation.py

@@ -485,3 +485,23 @@ def test_ones_like(array, dtype, order):
     a = numpy.array(array)
     ia = dpnp.array(array)
     assert_array_equal(func(numpy, a), func(dpnp, ia))
+
+
+@pytest.mark.parametrize(
+    "func, args",
+    [
+        pytest.param("full_like",
+                     ['x0', '4']),
+        pytest.param("zeros_like",
+                     ['x0']),
+        pytest.param("ones_like",
+                     ['x0']),
+        pytest.param("empty_like",
+                     ['x0']),
+    ])
+def test_dpctl_tensor_input(func, args):
+    x0 = dpt.reshape(dpt.arange(9), (3,3))
+    new_args = [eval(val, {'x0' : x0}) for val in args]
+    X = getattr(dpt, func)(*new_args)
+    Y = getattr(dpnp, func)(*new_args)
+    assert_array_equal(X, Y)