Merge master into impl_of_interp

Author: vlad-perevezentsev

.pre-commit-config.yaml

@@ -66,7 +66,7 @@ repos:
         name: isort (pyi)
         types: [pyi]
 -   repo: https://github.com/pycqa/flake8
-    rev: 7.1.2
+    rev: 7.2.0
     hooks:
     -   id: flake8
         args: ["--config=.flake8"]
@@ -79,7 +79,7 @@ repos:
     -   id: clang-format
         args: ["-i"]
 -   repo: https://github.com/gitleaks/gitleaks
-    rev: v8.24.0
+    rev: v8.25.1
     hooks:
     -   id: gitleaks
 -   repo: https://github.com/jumanjihouse/pre-commit-hooks

CHANGELOG.md

@@ -34,6 +34,7 @@ This release achieves 100% compliance with Python Array API specification (revis
 * Resolved an issue with an incorrect result returned due to missing dependency from the strided kernel on a copy event in `dpnp.erf` [#2378](https://github.com/IntelPython/dpnp/pull/2378)
 * Updated `conda create` commands build and install instructions of `Quick start guide` to avoid a compilation error [#2395](https://github.com/IntelPython/dpnp/pull/2395)
 * Added handling of empty string passed to a test env variable defining data type scope as a `False` value [#2415](https://github.com/IntelPython/dpnp/pull/2415)
+* Resolved build issues on non-Intel targets in `dpnp.i0` and `dpnp.kaiser` [#2439](https://github.com/IntelPython/dpnp/pull/2439)
 
 
 ## [0.17.0] - 02/26/2025

conda-recipe/meta.yaml

@@ -13,7 +13,7 @@ requirements:
       - python
       - setuptools
       - numpy >=1.23
-      - cython
+      - cython <3.1
       - cmake >=3.21
       - ninja
       - git

dpnp/backend/extensions/window/kaiser.cpp

@@ -40,7 +40,11 @@
 #define __SYCL_COMPILER_BESSEL_I0_SUPPORT 20241208L
 #endif
 
-#if __SYCL_COMPILER_VERSION >= __SYCL_COMPILER_BESSEL_I0_SUPPORT
+// Include <sycl/ext/intel/math.hpp> only when targeting Intel devices.
+// This header relies on intel-specific types like _iml_half_internal,
+// which are not supported on non-intel backends (e.g., CUDA, AMD)
+#if defined(__SPIR__) && defined(__INTEL_LLVM_COMPILER) &&                     \
+    (__SYCL_COMPILER_VERSION >= __SYCL_COMPILER_BESSEL_I0_SUPPORT)
 #include <sycl/ext/intel/math.hpp>
 #endif
 
@@ -74,7 +78,8 @@ class KaiserFunctor
 
     void operator()(sycl::id<1> id) const
     {
-#if __SYCL_COMPILER_VERSION >= __SYCL_COMPILER_BESSEL_I0_SUPPORT
+#if defined(__SPIR__) && defined(__INTEL_LLVM_COMPILER) &&                     \
+    (__SYCL_COMPILER_VERSION >= __SYCL_COMPILER_BESSEL_I0_SUPPORT)
         using sycl::ext::intel::math::cyl_bessel_i0;
 #else
         using dpnp::kernels::i0::impl::cyl_bessel_i0;

dpnp/backend/kernels/elementwise_functions/i0.hpp

@@ -35,7 +35,11 @@
 #define __SYCL_COMPILER_BESSEL_I0_SUPPORT 20241208L
 #endif
 
-#if __SYCL_COMPILER_VERSION >= __SYCL_COMPILER_BESSEL_I0_SUPPORT
+// Include <sycl/ext/intel/math.hpp> only when targeting Intel devices.
+// This header relies on intel-specific types like _iml_half_internal,
+// which are not supported on non-intel backends (e.g., CUDA, AMD)
+#if defined(__SPIR__) && defined(__INTEL_LLVM_COMPILER) &&                     \
+    (__SYCL_COMPILER_VERSION >= __SYCL_COMPILER_BESSEL_I0_SUPPORT)
 #include <sycl/ext/intel/math.hpp>
 #endif
 
@@ -253,7 +257,8 @@ struct I0Functor
 
     resT operator()(const argT &x) const
     {
-#if __SYCL_COMPILER_VERSION >= __SYCL_COMPILER_BESSEL_I0_SUPPORT
+#if defined(__SPIR__) && defined(__INTEL_LLVM_COMPILER) &&                     \
+    (__SYCL_COMPILER_VERSION >= __SYCL_COMPILER_BESSEL_I0_SUPPORT)
         using sycl::ext::intel::math::cyl_bessel_i0;
 #else
         using impl::cyl_bessel_i0;

dpnp/random/dpnp_iface_random.py

@@ -1672,7 +1672,7 @@ def seed(seed=None, device=None, sycl_queue=None):
     """
 
     # update a mt19937 random number for both RandomState and legacy functionality
-    global _dpnp_random_states
+    global _dpnp_random_states  # noqa: F824
 
     sycl_queue = dpnp.get_normalized_queue_device(
         device=device, sycl_queue=sycl_queue

environments/build_with_oneapi.yml

@@ -3,7 +3,7 @@ channels:
   - conda-forge
 dependencies:
   - cmake
-  - cython
+  - cython <3.1
   - ninja
   - numpy
   - pytest