Added tests for SYCL queue and USM type

Author: antonwolfy

.github/workflows/conda-package.yml

@@ -26,6 +26,7 @@ env:
       test_umath.py
       test_usm_type.py
       third_party/cupy/linalg_tests/test_product.py
+      third_party/cupy/logic_tests/test_comparison.py
       third_party/cupy/logic_tests/test_truth.py
       third_party/cupy/manipulation_tests/test_basic.py
       third_party/cupy/manipulation_tests/test_join.py

dpnp/dpnp_iface_logic.py

@@ -186,11 +186,19 @@ def allclose(a, b, rtol=1.0e-5, atol=1.0e-8, **kwargs):
     Examples
     --------
     >>> import dpnp as np
-    >>> np.allclose(np.array([1e10, 1e-7]), np.array([1.00001e10, 1e-8]))
+    >>> a = np.array([1e10, 1e-7])
+    >>> b = np.array([1.00001e10, 1e-8])
+    >>> np.allclose(a, b)
     array([False])
-    >>> np.allclose(np.array([1.0, np.nan]), np.array([1.0, np.nan]))
+
+    >>> a = np.array([1.0, np.nan])
+    >>> b = np.array([1.0, np.nan])
+    >>> np.allclose(a, b)
     array([False])
-    >>> np.allclose(np.array([1.0, np.inf]), np.array([1.0, np.inf]))
+
+    >>> a = np.array([1.0, np.inf])
+    >>> b = np.array([1.0, np.inf])
+    >>> np.allclose(a, b)
     array([ True])
 
     """
@@ -214,6 +222,13 @@ def allclose(a, b, rtol=1.0e-5, atol=1.0e-8, **kwargs):
                 )
             )
 
+        if dpnp.isscalar(a):
+            a = dpnp.full_like(b, fill_value=a)
+        elif dpnp.isscalar(b):
+            b = dpnp.full_like(a, fill_value=b)
+        elif a.shape != b.shape:
+            a, b = dpt.broadcast_arrays(a, b)
+
         a_desc = dpnp.get_dpnp_descriptor(a, copy_when_nondefault_queue=False)
         b_desc = dpnp.get_dpnp_descriptor(b, copy_when_nondefault_queue=False)
         if a_desc and b_desc:

tests/skipped_tests_gpu_no_fp64.tbl

@@ -443,8 +443,8 @@ tests/test_sycl_queue.py::test_array_creation[opencl:gpu:0-arange-arg0-kwargs0]
 tests/test_sycl_queue.py::test_array_creation[level_zero:gpu:0-arange-arg0-kwargs0]
 tests/test_sycl_queue.py::test_1in_1out[opencl:gpu:0-gradient-data10]
 tests/test_sycl_queue.py::test_1in_1out[level_zero:gpu:0-gradient-data10]
-tests/test_sycl_queue.py::test_2in_1out[opencl:gpu:0-power-data112-data212]
-tests/test_sycl_queue.py::test_2in_1out[level_zero:gpu:0-power-data112-data212]
+tests/test_sycl_queue.py::test_2in_1out[opencl:gpu:0-power-data113-data213]
+tests/test_sycl_queue.py::test_2in_1out[level_zero:gpu:0-power-data113-data213]
 tests/test_sycl_queue.py::test_out_2in_1out[opencl:gpu:0-power-data19-data29]
 tests/test_sycl_queue.py::test_out_2in_1out[level_zero:gpu:0-power-data19-data29]
 tests/test_sycl_queue.py::test_eig[opencl:gpu:0]

tests/test_sycl_queue.py

@@ -276,6 +276,11 @@ def test_1in_1out(func, data, device):
             [0.0, 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0],
             [0.0, 1.0, 2.0, 0.0, 1.0, 2.0, 0.0, 1.0, 2.0],
         ),
+        pytest.param(
+            "allclose",
+            [1.0, dpnp.inf, -dpnp.inf],
+            [1.0, dpnp.inf, -dpnp.inf],
+        ),
         pytest.param("copysign", [0.0, 1.0, 2.0], [-1.0, 0.0, 1.0]),
         pytest.param("cross", [1.0, 2.0, 3.0], [4.0, 5.0, 6.0]),
         pytest.param(

tests/test_usm_type.py

@@ -295,6 +295,11 @@ def test_1in_1out(func, data, usm_type):
 @pytest.mark.parametrize(
     "func,data1,data2",
     [
+        pytest.param(
+            "allclose",
+            [[1.2, -0.0], [-7, 2.34567]],
+            [[1.2, 0.0], [-7, 2.34567]],
+        ),
         pytest.param(
             "dot",
             [[0.0, 1.0, 2.0], [3.0, 4.0, 5.0]],