changes to test_atomic_op to make it CFD compliant

Author: adarshyoga

numba_dpex/tests/kernel_tests/test_atomic_op.py

@@ -3,7 +3,7 @@
 # SPDX-License-Identifier: Apache-2.0
 
 import dpctl
-import numpy as np
+import dpnp as np
 import pytest
 
 import numba_dpex as dpex
@@ -38,8 +38,11 @@ def fdtype(request):
 
 @pytest.fixture(params=list_of_i_dtypes + list_of_f_dtypes)
 def input_arrays(request):
-    a = np.array([0], request.param)
-    return a, request.param
+    def _inpute_arrays(filter_str):
+        a = np.array([0], request.param, device=filter_str)
+        return a, request.param
+
+    return _inpute_arrays
 
 
 list_of_op = [
@@ -72,11 +75,9 @@ def f(a):
 @pytest.mark.parametrize("filter_str", filter_strings)
 @skip_no_atomic_support
 def test_kernel_atomic_simple(filter_str, input_arrays, kernel_result_pair):
-    a, dtype = input_arrays
+    a, dtype = input_arrays(filter_str)
     kernel, expected = kernel_result_pair
-    device = dpctl.SyclDevice(filter_str)
-    with dpctl.device_context(device):
-        kernel[global_size, dpex.DEFAULT_LOCAL_SIZE](a)
+    kernel[dpex.Range(global_size)](a)
     assert a[0] == expected
 
 
@@ -114,15 +115,11 @@ def f(a):
 @pytest.mark.parametrize("filter_str", filter_strings)
 @skip_no_atomic_support
 def test_kernel_atomic_local(filter_str, input_arrays, return_list_of_op):
-    a, dtype = input_arrays
+    a, dtype = input_arrays(filter_str)
     op_type, expected = return_list_of_op
     f = get_func_local(op_type, dtype)
     kernel = dpex.kernel(f)
-    device = dpctl.SyclDevice(filter_str)
-    with dpctl.device_context(device):
-        gs = (N,)
-        ls = (N,)
-        kernel[gs, ls](a)
+    kernel[dpex.Range(N), dpex.Range(N)](a)
     assert a[0] == expected
 
 
@@ -161,10 +158,8 @@ def test_kernel_atomic_multi_dim(
     op_type, expected = return_list_of_op
     dim = return_list_of_dim
     kernel = get_kernel_multi_dim(op_type, len(dim))
-    a = np.zeros(dim, return_dtype)
-    device = dpctl.SyclDevice(filter_str)
-    with dpctl.device_context(device):
-        kernel[global_size, dpex.DEFAULT_LOCAL_SIZE](a)
+    a = np.zeros(dim, dtype=return_dtype, device=filter_str)
+    kernel[dpex.Range(global_size)](a)
     assert a[0] == expected