Update to dpnp 0.9

README.md

@@ -20,7 +20,7 @@ https://intelpython.github.io/dpnp/
 
 * numba 0.54.* or 0.55.*
 * dpctl 0.11.*
-* dpnp 0.8.* (optional)
+* dpnp 0.9.* (optional)
 * llvm-spirv 11.* (SPIRV generation from LLVM IR)
 * spirv-tools
 * packaging

conda-recipe/meta.yaml

@@ -20,15 +20,15 @@ requirements:
         - cython
         - numba 0.54*|0.55*
         - dpctl 0.10*|0.11*
-        - dpnp >=0.8*  # [linux]
+        - dpnp 0.8*|0.9  # [linux]
         - wheel
     run:
         - python
         - numba 0.54*|0.55*
         - dpctl 0.10*|0.11*
         - spirv-tools
         - llvm-spirv 11.*
-        - dpnp >=0.8* # [linux]
+        - dpnp 0.8*|0.9* # [linux]
         - packaging
 
 test:

docs/user_guides/debugging/debugging_environment.rst

@@ -18,10 +18,6 @@ Configure debugging environment
         conda create numba-dppy-dev numba-dppy
         conda activate numba-dppy-dev
 
-    .. note::
-
-        Debugging features were tested with the following packages: ``numba-dppy=0.14``, ``dpctl=0.8``, ``numba=0.53``.
-
 3) Activate NEO drivers (optional).
 
     If you want to use the local NEO driver, activate the variables for it. See the :ref:`NEO-driver`.

environment.yml

@@ -13,7 +13,7 @@ dependencies:
   - cython
   - numba 0.55*
   - dpctl 0.11*
-  - dpnp 0.8*
+  - dpnp 0.9*
   - spirv-tools
   # - llvm-spirv 11.*
   - packaging

numba_dppy/__init__.py

@@ -517,6 +517,7 @@ def main():
 
 import numba.testing
 
+from numba_dppy.interop import asarray
 from numba_dppy.retarget import offload_to_sycl_device
 
 from . import config

numba_dppy/interop.py

@@ -0,0 +1,41 @@
+# Copyright 2021 Intel Corporation
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#      http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+"""Support for interoperability."""
+
+import dpctl.tensor as dpt
+
+
+def asarray(container):
+    """Convert container supported by interoperability to numba-dppy container.
+    Currently used dpctl.tensor.asarray().
+    """
+    try:
+        return dpt.asarray(container)
+    except:
+        pass
+
+    # Workaround for dpnp_array if dpctl asarray() does not support it.
+    try:
+        from dpnp.dpnp_array import dpnp_array
+
+        if isinstance(container, dpnp_array) and hasattr(container, "_array_obj"):
+            import warnings
+
+            warnings.warn("asarray() uses internals from dpnp.")
+            return container._array_obj
+    except:
+        pass
+
+    raise NotImplementedError("dpctl asarray() does not support " + type(container))

numba_dppy/tests/integration/test_dpnp_interop.py

@@ -89,8 +89,8 @@ def data_parallel_sum(a, b, c):
     global_size = 1021
 
     with dppy.offload_to_sycl_device(offload_device):
-        a = dpnp.arange(global_size, dtype=dtype)
-        b = dpnp.arange(global_size, dtype=dtype)
-        c = dpnp.ones_like(a)
+        a = dppy.asarray(dpnp.arange(global_size, dtype=dtype))
+        b = dppy.asarray(dpnp.arange(global_size, dtype=dtype))
+        c = dppy.asarray(dpnp.ones_like(a))
 
         data_parallel_sum[global_size, dppy.DEFAULT_LOCAL_SIZE](a, b, c)