Add conda-forge only build and test workflow

conda-recipe-cf/bld.bat

@@ -0,0 +1,50 @@
+:: conda-forge folds the Intel compiler runtime libs (libircmt.lib, ...) into the
+:: build-only dpcpp_impl package (not visible from the host env), so they live
+:: in the build prefix and are off the linker's default LIB
+set "LIB=%BUILD_PREFIX%\Library\lib;%LIB%"
+
+"%PYTHON%" setup.py clean --all
+
+set "MKLROOT=%PREFIX%/Library"
+set "TBB_ROOT_HINT=%PREFIX%/Library"
+set "DPL_ROOT_HINT=%PREFIX%/Library"
+:: useful for building in resources constrained VMs (public CI)
+set "CMAKE_ARGS=%CMAKE_ARGS% -DCMAKE_INTERPROCEDURAL_OPTIMIZATION:BOOL=FALSE"
+
+:: try to detect SYCL resource/include dir from icpx
+for /f "usebackq delims=" %%R in (`icpx --print-resource-dir 2^>NUL`) do (
+  set "SYCL_RESOURCE_DIR=%%R"
+)
+
+if defined SYCL_RESOURCE_DIR (
+  if exist "%SYCL_RESOURCE_DIR%\include" (
+    set "SYCL_INCLUDE_DIR_HINT=%SYCL_RESOURCE_DIR%"
+  )
+)
+
+
+set "CC=icx"
+set "CXX=icx"
+
+set "CMAKE_GENERATOR=Ninja"
+:: make CMake verbose
+set "VERBOSE=1"
+
+:: set CMAKE to use less threads to avoid OOM
+set CMAKE_BUILD_PARALLEL_LEVEL=%CPU_COUNT%
+
+:: flags mean: --wheel --no-isolation --skip-dependency-check
+%PYTHON% -m build -w -n -x
+if %errorlevel% neq 0 exit 1
+
+:: wheel file was renamed
+for /f %%f in ('dir /b /S .\dist') do (
+  %PYTHON% -m pip install %%f ^
+    --no-build-isolation ^
+    --no-deps ^
+    --only-binary :all: ^
+    --no-index ^
+    --prefix %PREFIX% ^
+    -vv
+    if errorlevel 1 exit 1
+)

conda-recipe-cf/build.sh

@@ -0,0 +1,49 @@
+#!/bin/bash
+
+# conda-forge folds the Intel compiler runtime libs (libircmt.lib, ...) into the
+# build-only dpcpp_impl package (not visible from the host env), so they live
+# in the build prefix and are off the linker's default LIBRARY_PATH
+export LIBRARY_PATH="$LIBRARY_PATH:${BUILD_PREFIX}/lib"
+
+# Intel LLVM must cooperate with compiler and sysroot from conda
+echo "--gcc-toolchain=${BUILD_PREFIX} --sysroot=${BUILD_PREFIX}/${HOST}/sysroot -target ${HOST}" > icpx_for_conda.cfg
+
+ICPXCFG="$(pwd)/icpx_for_conda.cfg"
+export ICPXCFG
+
+ICXCFG="$(pwd)/icpx_for_conda.cfg"
+export ICXCFG
+
+if [ -e "_skbuild" ]; then
+    ${PYTHON} setup.py clean --all
+fi
+
+export CC=icx
+export CXX=icpx
+
+# conda-forge's gcc/g++ activation injects -fno-merge-constants into CFLAGS/CXXFLAGS
+# when CONDA_BUILD==1, while icx/icpx doesn't support it and emit the warning.
+# See CMPLRLLVM-19167 / CMPLRLLVM-28729 for more context and PR which added the flag:
+# https://github.com/conda-forge/ctng-compiler-activation-feedstock/pull/193
+export CFLAGS="${CFLAGS//-fno-merge-constants/}"
+export CXXFLAGS="${CXXFLAGS//-fno-merge-constants/}"
+
+export CMAKE_GENERATOR=Ninja
+# Make CMake verbose
+export VERBOSE=1
+
+# set CMAKE to use less threads to avoid OOM
+export CMAKE_BUILD_PARALLEL_LEVEL=${CPU_COUNT}
+
+CMAKE_ARGS="${CMAKE_ARGS} -DDPNP_WITH_REDIST:BOOL=ON"
+
+# -wnx flags mean: --wheel --no-isolation --skip-dependency-check
+${PYTHON} -m build -w -n -x
+
+${PYTHON} -m pip install dist/dpnp*.whl \
+    --no-build-isolation \
+    --no-deps \
+    --only-binary :all: \
+    --no-index \
+    --prefix "${PREFIX}" \
+    -vv

conda-recipe-cf/conda_build_config.yaml

@@ -0,0 +1,18 @@
+numpy:
+    - '2'
+c_compiler:                   # [linux]
+    - gcc                     # [linux]
+cxx_compiler:                 # [linux]
+    - gxx                     # [linux]
+cxx_compiler_version:         # [linux]
+    - '15'                    # [linux]
+c_stdlib:                     # [linux]
+    - sysroot                 # [linux]
+c_stdlib_version:             # [linux]
+    - '2.28'                  # [linux]
+c_stdlib:                     # [win]
+    - vs                      # [win]
+cxx_compiler:                 # [win]
+    - vs2022                  # [win]
+c_compiler:                   # [win]
+    - vs2022                  # [win]

conda-recipe-cf/meta.yaml

@@ -0,0 +1,98 @@
+{% set required_compiler_and_mkl_version = "2026.0.0" %}
+{% set required_dpctl_version = "0.22.1" %}
+
+{% set pyproject = load_file_data('pyproject.toml') %}
+{% set py_build_deps = pyproject.get('build-system', {}).get('requires', []) %}
+
+package:
+  name: dpnp
+  version: {{ GIT_DESCRIBE_TAG }}
+
+source:
+  path: ..
+
+build:
+  number: {{ GIT_DESCRIBE_NUMBER }}
+  ignore_run_exports:
+    - dpctl
+    - numpy
+    - python
+    # building with Intel DPC++ and do not import the MSVC runtime DLLs
+    - vc14_runtime  # [win]
+    - ucrt          # [win]
+  missing_dso_whitelist:
+    - '*DPCTLSyclInterface*'
+    - '*/dpnp_backend_c.dll'        # [win]
+  skip: true  # [osx or py<39]
+
+requirements:
+  build:
+    - {{ compiler('cxx') }}
+    - {{ stdlib('c') }}
+    - {{ compiler('dpcpp') }} >={{ required_compiler_and_mkl_version }}
+    - ninja >=1.11.1          # [linux]
+    - cmake >=3.29.0
+  host:
+    - python
+    - pip >=25.0
+    - pybind11 >=3.0.2
+    - setuptools >=79.0.1
+    - wheel >=0.45.1
+    - python-build >=1.1
+    - scikit-build >=0.18.1
+    - cython >=3.1.0
+    - numpy >=1.26.0
+    - versioneer ==0.29
+    # versioneer dependency
+    - tomli                   # [py<311]
+    - dpctl >={{ required_dpctl_version }}
+    - mkl-devel-dpcpp >={{ required_compiler_and_mkl_version }}
+    - onedpl-devel
+    - tbb-devel
+  run:
+    - python
+    - {{ pin_compatible('dpctl', min_pin='x.x.x', max_pin=None) }}
+    - {{ pin_compatible('dpcpp-cpp-rt', min_pin='x.x', max_pin='x') }}
+    - {{ pin_compatible('intel-sycl-rt', min_pin='x.x', max_pin='x') }}
+    - {{ pin_compatible('intel-cmplr-lib-rt', min_pin='x.x', max_pin='x') }}
+    - {{ pin_compatible('mkl', min_pin='x.x', max_pin='x') }}
+    - {{ pin_compatible('onemkl-sycl-blas', min_pin='x.x', max_pin='x') }}
+    - {{ pin_compatible('onemkl-sycl-dft', min_pin='x.x', max_pin='x') }}
+    - {{ pin_compatible('onemkl-sycl-lapack', min_pin='x.x', max_pin='x') }}
+    - {{ pin_compatible('onemkl-sycl-rng', min_pin='x.x', max_pin='x') }}
+    - {{ pin_compatible('onemkl-sycl-vm', min_pin='x.x', max_pin='x') }}
+    - numpy
+    - ocl-icd-system  # [linux]
+    - khronos-opencl-icd-loader  # [win]
+
+test:
+  requires:
+    - pip
+    - pytest
+    - setuptools
+    - scipy # [py<314]
+  commands:
+    - pip check
+    - python -c "import dpnp; print(dpnp.__version__)"
+    - python -m dpctl -f
+
+about:
+  home: https://github.com/IntelPython/dpnp
+  license: BSD-3-Clause
+  license_file: LICENSE.txt
+  summary: 'Data Parallel Extension for NumPy'
+  description: |
+    <strong>LEGAL NOTICE: Use of this software package is subject to the
+    software license agreement (as set forth above, in the license section of
+    the installed Conda package and/or the README file) and all notices,
+    disclaimers or license terms for third party or open source software
+    included in or with the software.</strong>
+    <br/><br/>
+    EULA: <a href="https://opensource.org/licenses/BSD-3-Clause" target="_blank">BSD-3-Clause</a>
+    <br/><br/>
+
+extra:
+  recipe-maintainers:
+    - antonwolfy
+    - vlad-perevezentsev
+    - ndgrigorian

conda-recipe-cf/run_test.bat

@@ -0,0 +1,16 @@
+@echo on
+
+:: Skip tensor tests by default to avoid OOM in conda builds.
+:: Set SKIP_TENSOR_TESTS=0 to run them on machines with enough memory.
+if not defined SKIP_TENSOR_TESTS (
+    set "SKIP_TENSOR_TESTS=1"
+)
+
+"%PYTHON%" -c "import dpnp; print(dpnp.__version__)"
+if %errorlevel% neq 0 exit 1
+
+"%PYTHON%" -m dpctl -f
+if %errorlevel% neq 0 exit 1
+
+"%PYTHON%" -m pytest -ra --pyargs dpnp
+if %errorlevel% neq 0 exit 1

conda-recipe-cf/run_test.sh

@@ -0,0 +1,13 @@
+#!/bin/bash
+
+# Skip tensor tests by default to avoid OOM in conda builds.
+# Set SKIP_TENSOR_TESTS=0 to run them on machines with enough memory.
+if [ -z "${SKIP_TENSOR_TESTS}" ]; then
+    export SKIP_TENSOR_TESTS=1
+fi
+
+set -e
+
+$PYTHON -c "import dpnp; print(dpnp.__version__)"
+$PYTHON -m dpctl -f
+$PYTHON -m pytest -ra --pyargs dpnp

dpnp/tests/test_array_api_info.py

@@ -9,6 +9,7 @@
     is_win_platform,
     numpy_version,
 )
+from dpnp.tests.third_party.cupy.testing import with_requires
 
 info = dpnp.__array_namespace_info__()
 default_device = select_default_device()
@@ -129,6 +130,7 @@ def test_dtypes_invalid_device():
         info.dtypes(device="str")
 
 
+@with_requires("dpctl>=0.23.0dev0")
 def test_devices():
     devices = info.devices()
     assert isinstance(devices, tuple)