Removed uses of device_context

Author: oleksandr-pavlyk

doc/dpctl.rst

@@ -10,20 +10,23 @@ Interplay with the Data Parallel Control Library
 An example below demonstrates how the Data Parallel Extension for NumPy* can be
 easily combined with the device management interface provided by dpctl package.
 
-Literally, the SYCL* queue manager interface from the dpctl package allows
-to set an input queue as the currently usable queue inside the context
-manager's scope. This way an array creation function from the dpnp package
-which is defined inside the context will allocate the data using that queue.
-
 .. code-block:: python
   :linenos:
 
-  import dpctl
-  import dpnp as np
+      import dpctl
+      import dpnp
+
+      d = dpctl.select_cpu_device()
+      x = dpnp.array([1, 2, 3], device=d)
+      s = dpnp.sum(x)
+
+      y = dpnp.linspace(0, dpnp.pi, num=10**6, device="gpu")
+      f = 1 + y * dpnp.sin(y)
 
-  with dpctl.device_context("opencl:gpu"):
-      x = np.array([1, 2, 3])
-      s = np.sum(x)
+      # locate argument where function attains global maximum
+      max_arg = x[dpnp.argmax(f)]
+      max_val = dpnp.max(f)
+      
 
 For more information please refer to `Data Parallel Control Library`_
 documentation.

examples/example10.py

@@ -87,12 +87,7 @@ def example():
 
 
 if __name__ == "__main__":
-    try:
-        import dpctl
+    import dpctl
 
-        with dpctl.device_context("opencl:gpu") as gpu_queue:
-            gpu_queue.get_sycl_device().print_device_info()
-            example()
-
-    except ImportError:
-        example()
+    dpctl.select_default_device().print_device_info()
+    example()

tests/third_party/intel/zero-copy-test1.py

@@ -62,12 +62,7 @@ def dppy_f(array_like_obj):
     hb = np.arange(0, global_size, dtype="i4")
     da = DuckUSMArray(hb.shape, dtype=hb.dtype, host_buffer=hb)
 
-    if dpctl.has_gpu_queues(dpctl.backend_type.level_zero):
-        print("\nScheduling on OpenCL GPU\n")
-        with dpctl.device_context("opencl:gpu") as gpu_queue:
-            dppy_f[global_size, dppy.DEFAULT_LOCAL_SIZE](da)
-    else:
-        print("\nSkip scheduling on OpenCL GPU\n")
+    dppy_f[global_size, dppy.DEFAULT_LOCAL_SIZE](da)
 
     assert da[0] == 10