Remove dpctl has_gpu_queues check (#282)

* Remove dpctl has_gpu_queues check

* Added skip tests

* black reformat

* Add device_type to is_gen12 call

Co-authored-by: reazul.hoque <reazul.hoque@intel.com>

Author: reazulhoque

numba_dppy/config.py

@@ -18,7 +18,7 @@
 try:
     import dpctl
 
-    dppy_present = dpctl.has_sycl_platforms() and dpctl.has_gpu_queues()
+    dppy_present = dpctl.has_sycl_platforms()
 except:
     dppy_present = False
 

numba_dppy/tests/njit_tests/dpnp/test_numpy_array_ops.py

@@ -22,6 +22,7 @@
 import pytest
 from numba_dppy.testing import dpnp_debug
 from .dpnp_skip_test import dpnp_skip_test as skip_test
+from numba_dppy.tests.skip_tests import is_gen12
 
 list_of_filter_strs = [
     "opencl:gpu:0",
@@ -95,10 +96,19 @@ def test_unary_ops(filter_str, unary_op, input_arrays, get_shape, capfd):
     op, name = unary_op
     if name != "argsort" and name != "copy":
         a = np.reshape(a, get_shape)
-    if name == "cumprod" and (filter_str == "opencl:cpu:0" or a.dtype == np.int32):
+    if name == "cumprod" and (
+        filter_str == "opencl:cpu:0" or a.dtype == np.int32 or is_gen12(filter_str)
+    ):
         pytest.skip()
-    if name == "cumsum" and (filter_str == "opencl:cpu:0" or a.dtype == np.int32):
+    if name == "cumsum" and (
+        filter_str == "opencl:cpu:0" or a.dtype == np.int32 or is_gen12(filter_str)
+    ):
         pytest.skip()
+    if name == "mean" and is_gen12(filter_str):
+        pytest.skip()
+    if name == "argmax" and is_gen12(filter_str):
+        pytest.skip()
+
     actual = np.empty(shape=a.shape, dtype=a.dtype)
     expected = np.empty(shape=a.shape, dtype=a.dtype)
 

numba_dppy/tests/njit_tests/dpnp/test_numpy_transcendentals.py

@@ -22,6 +22,7 @@
 import pytest
 from numba_dppy.testing import dpnp_debug
 from .dpnp_skip_test import dpnp_skip_test as skip_test
+from numba_dppy.tests.skip_tests import is_gen12
 
 list_of_filter_strs = [
     "opencl:gpu:0",
@@ -117,7 +118,9 @@ def test_unary_ops(filter_str, unary_op, input_array, get_shape, capfd):
     a = input_array
     a = np.reshape(a, get_shape)
     op, name = unary_op
-    if (name == "cumprod" or name == "cumsum") and filter_str == "opencl:cpu:0":
+    if (name == "cumprod" or name == "cumsum") and (
+        filter_str == "opencl:cpu:0" or is_gen12(filter_str)
+    ):
         pytest.skip()
     actual = np.empty(shape=a.shape, dtype=a.dtype)
     expected = np.empty(shape=a.shape, dtype=a.dtype)
@@ -143,6 +146,9 @@ def test_unary_nan_ops(filter_str, unary_nan_op, input_nan_array, get_shape, cap
     actual = np.empty(shape=a.shape, dtype=a.dtype)
     expected = np.empty(shape=a.shape, dtype=a.dtype)
 
+    if name == "nansum" and is_gen12(filter_str):
+        pytest.skip()
+
     f = njit(op)
     with dpctl.device_context(filter_str), dpnp_debug():
         actual = f(a)