Add missing stream keyword argument to dpnp.ndarray.to_device met…

…hod (#2263)

The PR proposes to align `dpnp.ndarray.to_device` method with python
array API and to add support of `stream` keyword argument.
The tests coverage is extended to cover new argument. Previously muted
array-api test is enabled back.

Note, tests for `dpnp.__dlpack__` are updated due to recent changes done
in [dpctl#1969](IntelPython/dpctl#1969).

.github/workflows/array-api-skips.txt

@@ -57,9 +57,6 @@ array_api_tests/test_sorting_functions.py::test_sort
 array_api_tests/test_signatures.py::test_func_signature[std]
 array_api_tests/test_signatures.py::test_func_signature[var]
 
-# missing 'stream' keyword argument
-array_api_tests/test_signatures.py::test_array_method_signature[to_device]
-
 # wrong shape is returned
 array_api_tests/test_linalg.py::test_vecdot
 array_api_tests/test_linalg.py::test_linalg_vecdot

dpnp/dpnp_array.py

@@ -153,13 +153,6 @@ def mT(self):
 
         return dpnp_array._create_from_usm_ndarray(self._array_obj.mT)
 
-    def to_device(self, target_device):
-        """Transfer array to target device."""
-
-        return dpnp_array(
-            shape=self.shape, buffer=self.get_array().to_device(target_device)
-        )
-
     @property
     def sycl_queue(self):
         return self._array_obj.sycl_queue
@@ -1693,6 +1686,48 @@ def take(self, indices, axis=None, out=None, mode="wrap"):
 
         return dpnp.take(self, indices, axis=axis, out=out, mode=mode)
 
+    def to_device(self, device, /, *, stream=None):
+        """
+        Transfers this array to specified target device.
+
+        Parameters
+        ----------
+        device : {string, SyclDevice, SyclQueue}
+            Array API concept of target device. It can be an OneAPI filter
+            selector string, an instance of :class:`dpctl.SyclDevice`
+            corresponding to a non-partitioned SYCL device, an instance of
+            :class:`dpctl.SyclQueue`, or a :class:`dpctl.tensor.Device` object
+            returned by :obj:`dpnp.dpnp_array.dpnp_array.device` property.
+        stream : {SyclQueue, None}, optional
+            Execution queue to synchronize with. If ``None``, synchronization
+            is not performed.
+            Default: ``None``.
+
+        Returns
+        -------
+        out : dpnp.ndarray
+            A view if data copy is not required, and a copy otherwise.
+            If copying is required, it is done by copying from the original
+            allocation device to the host, followed by copying from host
+            to the target device.
+
+        Examples
+        --------
+        >>> import dpnp as np, dpctl
+        >>> x = np.full(100, 2, dtype=np.int64)
+        >>> q_prof = dpctl.SyclQueue(x.sycl_device, property="enable_profiling")
+        >>> # return a view with profile-enabled queue
+        >>> y = x.to_device(q_prof)
+        >>> timer = dpctl.SyclTimer()
+        >>> with timer(q_prof):
+        ...     z = y * y
+        >>> print(timer.dt)
+
+        """
+
+        usm_res = self._array_obj.to_device(device, stream=stream)
+        return dpnp_array._create_from_usm_ndarray(usm_res)
+
     # 'tobytes',
     # 'tofile',
     # 'tolist',

dpnp/tests/test_dlpack.py

@@ -1,6 +1,7 @@
+import dpctl
 import numpy
 import pytest
-from numpy.testing import assert_array_equal
+from numpy.testing import assert_array_equal, assert_raises
 
 import dpnp
 
@@ -10,11 +11,20 @@
 
 
 class TestDLPack:
-    @pytest.mark.parametrize("stream", [None, 1])
+    @pytest.mark.parametrize("stream", [None, dpctl.SyclQueue()])
     def test_stream(self, stream):
         x = dpnp.arange(5)
         x.__dlpack__(stream=stream)
 
+    @pytest.mark.parametrize(
+        "stream",
+        [1, dict(), dpctl.SyclDevice()],
+        ids=["scalar", "dictionary", "device"],
+    )
+    def test_invaid_stream(self, stream):
+        x = dpnp.arange(5)
+        assert_raises(TypeError, x.__dlpack__, stream=stream)
+
     @pytest.mark.parametrize("copy", [True, None, False])
     def test_copy(self, copy):
         x = dpnp.arange(5)

dpnp/tests/test_sycl_queue.py

@@ -1932,23 +1932,66 @@ def test_svd(shape, full_matrices, compute_uv, device):
         assert_sycl_queue_equal(dpnp_s_queue, expected_queue)
 
 
-@pytest.mark.parametrize(
-    "device_from",
-    valid_devices,
-    ids=[device.filter_string for device in valid_devices],
-)
-@pytest.mark.parametrize(
-    "device_to",
-    valid_devices,
-    ids=[device.filter_string for device in valid_devices],
-)
-def test_to_device(device_from, device_to):
-    data = [1.0, 1.0, 1.0, 1.0, 1.0]
-
-    x = dpnp.array(data, dtype=dpnp.float32, device=device_from)
-    y = x.to_device(device_to)
+class TestToDevice:
+    @pytest.mark.parametrize(
+        "device_from",
+        valid_devices,
+        ids=[device.filter_string for device in valid_devices],
+    )
+    @pytest.mark.parametrize(
+        "device_to",
+        valid_devices,
+        ids=[device.filter_string for device in valid_devices],
+    )
+    def test_basic(self, device_from, device_to):
+        data = [1.0, 1.0, 1.0, 1.0, 1.0]
+        x = dpnp.array(data, dtype=dpnp.float32, device=device_from)
+
+        y = x.to_device(device_to)
+        assert y.sycl_device == device_to
+        assert (x.asnumpy() == y.asnumpy()).all()
+
+    def test_to_queue(self):
+        x = dpnp.full(100, 2, dtype=dpnp.int64)
+        q_prof = dpctl.SyclQueue(x.sycl_device, property="enable_profiling")
+
+        y = x.to_device(q_prof)
+        assert (x.asnumpy() == y.asnumpy()).all()
+        assert_sycl_queue_equal(y.sycl_queue, q_prof)
+
+    def test_stream(self):
+        x = dpnp.full(100, 2, dtype=dpnp.int64)
+        q_prof = dpctl.SyclQueue(x.sycl_device, property="enable_profiling")
+        q_exec = dpctl.SyclQueue(x.sycl_device)
+
+        y = x.to_device(q_prof, stream=q_exec)
+        assert (x.asnumpy() == y.asnumpy()).all()
+        assert_sycl_queue_equal(y.sycl_queue, q_prof)
+
+        q_exec = dpctl.SyclQueue(x.sycl_device)
+        _ = dpnp.linspace(0, 20, num=10**5, sycl_queue=q_exec)
+        y = x.to_device(q_prof, stream=q_exec)
+        assert (x.asnumpy() == y.asnumpy()).all()
+        assert_sycl_queue_equal(y.sycl_queue, q_prof)
+
+    def test_stream_no_sync(self):
+        x = dpnp.full(100, 2, dtype=dpnp.int64)
+        q_prof = dpctl.SyclQueue(x.sycl_device, property="enable_profiling")
+
+        for stream in [None, x.sycl_queue]:
+            y = x.to_device(q_prof, stream=stream)
+            assert (x.asnumpy() == y.asnumpy()).all()
+            assert_sycl_queue_equal(y.sycl_queue, q_prof)
 
-    assert y.sycl_device == device_to
+    @pytest.mark.parametrize(
+        "stream",
+        [1, dict(), dpctl.SyclDevice()],
+        ids=["scalar", "dictionary", "device"],
+    )
+    def test_invalid_stream(self, stream):
+        x = dpnp.ones(2, dtype=dpnp.int64)
+        q_prof = dpctl.SyclQueue(x.sycl_device, property="enable_profiling")
+        assert_raises(TypeError, x.to_device, q_prof, stream=stream)
 
 
 @pytest.mark.parametrize(

dpnp/tests/third_party/cupy/core_tests/test_dlpack.py

@@ -201,7 +201,13 @@ def test_stream(self):
         for src_s in [self._get_stream(s) for s in allowed_streams]:
             for dst_s in [self._get_stream(s) for s in allowed_streams]:
                 orig_array = _gen_array(cupy.float32, alloc_q=src_s)
-                dltensor = orig_array.__dlpack__(stream=orig_array)
+
+                q = dpctl.SyclQueue(
+                    orig_array.sycl_context,
+                    orig_array.sycl_device,
+                    property="enable_profiling",
+                )
+                dltensor = orig_array.__dlpack__(stream=q)
 
                 out_array = dlp.from_dlpack_capsule(dltensor)
                 out_array = cupy.from_dlpack(out_array, device=dst_s)