Merge master into impl_lu_solve_batch

Author: vlad-perevezentsev

.github/CODEOWNERS

@@ -1 +1 @@
-* @antonwolfy @AlexanderKalistratov @vlad-perevezentsev @vtavana @ndgrigorian
+* @antonwolfy @vlad-perevezentsev @ndgrigorian

.github/workflows/cron-run-tests.yaml

@@ -49,6 +49,8 @@ jobs:
             test-packages: "pytest scipy"
           - python: 3.12
             test-packages: "pytest scipy"
+          - python: 3.13
+            test-packages: "pytest scipy"
 
     steps:
       - name: Cancel Previous Runs

.github/workflows/openssf-scorecard.yml

@@ -42,7 +42,7 @@ jobs:
           persist-credentials: false
 
       - name: "Run analysis"
-        uses: ossf/scorecard-action@05b42c624433fc40578a4040d5cf5e36ddca8cde # v2.4.2
+        uses: ossf/scorecard-action@4eaacf0543bb3f2c246792bd56e8cdeffafb205a # v2.4.3
         with:
           results_file: results.sarif
           results_format: sarif
@@ -72,6 +72,6 @@ jobs:
 
       # Upload the results to GitHub's code scanning dashboard.
       - name: "Upload to code-scanning"
-        uses: github/codeql-action/upload-sarif@192325c86100d080feab897ff886c34abd4c83a3 # v3.30.3
+        uses: github/codeql-action/upload-sarif@64d10c13136e1c5bce3e5fbde8d4906eeaafc885 # v3.30.6
         with:
           sarif_file: results.sarif

.pre-commit-config.yaml

@@ -65,7 +65,7 @@ repos:
     -   id: black
         exclude: "dpnp/_version.py"
 -   repo: https://github.com/pycqa/isort
-    rev: 6.0.1
+    rev: 6.1.0
     hooks:
     -   id: isort
         name: isort (python)
@@ -113,7 +113,7 @@ repos:
             "--disable=redefined-builtin",
             "--disable=unused-wildcard-import"
             ]
-        files: '^dpnp/(dpnp_iface.*|fft|linalg|special|dpnp_array)'
+        files: '^dpnp/(dpnp_iface.*|fft|linalg|scipy|dpnp_array)'
 -   repo: https://github.com/macisamuele/language-formatters-pre-commit-hooks
     rev: v2.15.0
     hooks:

CHANGELOG.md

@@ -4,7 +4,31 @@ All notable changes to this project will be documented in this file.
 The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.1.0/),
 and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html).
 
-## [0.19.0] - 2025-MM-DD
+## [0.20.0] - MM/DD/2026
+
+### Added
+
+* Added the docstrings to `dpnp.linalg.LinAlgError` exception [#2613](https://github.com/IntelPython/dpnp/pull/2613)
+
+### Changed
+
+* Silenced `pybind11` CMake message due to using compatibility mode for Python [#2614](https://github.com/IntelPython/dpnp/pull/2614)
+
+### Deprecated
+
+### Removed
+
+### Fixed
+
+### Security
+
+
+## [0.19.0] - 2025-10-06
+
+This release introduces a set of new `dpnp.ndarray` methods and SciPy-compatible functions to improve CuPy compatibility.
+It also enhances the performance of existing functions and improves documentation completeness.
+Additionally, it extends support for building `dpnp` from the source for NVIDIA GPUs, with optional architecture selection.
+This release is compatible with NumPy 2.3.3.
 
 ### Added
 
@@ -18,6 +42,8 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
 * Added implementation of `dpnp.linalg.lu_factor` (SciPy-compatible) [#2557](https://github.com/IntelPython/dpnp/pull/2557), [#2565](https://github.com/IntelPython/dpnp/pull/2565)
 * Added implementation of `dpnp.piecewise` [#2550](https://github.com/IntelPython/dpnp/pull/2550)
 * Added implementation of `dpnp.linalg.lu_solve` for 2D inputs (SciPy-compatible) [#2575](https://github.com/IntelPython/dpnp/pull/2575)
+* Added implementation of `dpnp.special.erfc` [#2588](https://github.com/IntelPython/dpnp/pull/2588)
+* Added `dpnp.scipy` submodule to aggregate new SciPy-compatible functions from `linalg` and `special` namespaces [#2603](https://github.com/IntelPython/dpnp/pull/2603)
 
 ### Changed
 
@@ -45,6 +71,7 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
 * Redesigned `dpnp.erf` function through pybind11 extension of OneMKL call or dedicated kernel in `ufunc` namespace [#2551](https://github.com/IntelPython/dpnp/pull/2551)
 * Improved performance of batched implementation of `dpnp.linalg.det` and `dpnp.linalg.slogdet` [#2572](https://github.com/IntelPython/dpnp/pull/2572)
 * Improved documentations of `dpnp.tril_indices` and `dpnp.triu_indices` to clarify the returned order of indices [#2586](https://github.com/IntelPython/dpnp/pull/2586)
+* `dpnp` uses pybind11 3.0.1 [#2594](https://github.com/IntelPython/dpnp/pull/2594)
 
 ### Deprecated
 
@@ -67,8 +94,8 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
 * Fixed tests for the rounding functions to depend on minimum required numpy version [#2589](https://github.com/IntelPython/dpnp/pull/2589)
 * Fixed tests for the ufuncs to depend on minimum required numpy version [#2590](https://github.com/IntelPython/dpnp/pull/2590)
 * Added missing permission definition in `Autoupdate pre-commit` GitHub workflow [#2591](https://github.com/IntelPython/dpnp/pull/2591)
+* Resolved issue with the cyclic import in `linalg` submodule [#2608](https://github.com/IntelPython/dpnp/pull/2608)
 
-### Security
 
 ## [0.18.1] - 2025-06-24
 

CMakeLists.txt

@@ -1,7 +1,7 @@
 cmake_minimum_required(VERSION 3.21...3.27 FATAL_ERROR)
 
 project(dpnp
-  VERSION 0.19
+  VERSION 0.20
   LANGUAGES CXX
   DESCRIPTION "NumPy-like API accelerated by SYCL."
 )
@@ -49,18 +49,19 @@ endif()
 
 include(GNUInstallDirs)
 
+# find Python before enabling pybind11
+find_package(Python REQUIRED COMPONENTS Development.Module NumPy)
+
 # Fetch pybind11
 include(FetchContent)
 FetchContent_Declare(
     pybind11
-    URL https://github.com/pybind/pybind11/archive/refs/tags/v2.13.6.tar.gz
-    URL_HASH SHA256=e08cb87f4773da97fa7b5f035de8763abc656d87d5773e62f6da0587d1f0ec20
+    URL https://github.com/pybind/pybind11/archive/refs/tags/v3.0.1.tar.gz
+    URL_HASH SHA256=741633da746b7c738bb71f1854f957b9da660bcd2dce68d71949037f0969d0ca
     FIND_PACKAGE_ARGS NAMES pybind11
 )
 FetchContent_MakeAvailable(pybind11)
 
-find_package(Python REQUIRED COMPONENTS Development.Module NumPy)
-
 set(CYTHON_FLAGS "-t -w \"${CMAKE_SOURCE_DIR}\"")
 find_package(Cython REQUIRED)
 

conda-recipe/conda_build_config.yaml

@@ -1,5 +1,5 @@
 numpy:
-    - '1.25'
+    - '1.26'
 c_compiler:                   # [linux]
     - gcc                     # [linux]
 cxx_compiler:                 # [linux]

conda-recipe/meta.yaml

@@ -1,6 +1,6 @@
 {% set max_compiler_and_mkl_version = environ.get("MAX_BUILD_CMPL_MKL_VERSION", "2026.0a0") %}
 {% set required_compiler_and_mkl_version = "2025.0" %}
-{% set required_dpctl_version = "0.21.0*" %}
+{% set required_dpctl_version = "0.21.0" %}
 
 {% set pyproject = load_file_data('pyproject.toml') %}
 {% set py_build_deps = pyproject.get('build-system', {}).get('requires', []) %}
@@ -83,7 +83,5 @@ about:
 extra:
     recipe-maintainers:
         - antonwolfy
-        - AlexanderKalistratov
-        - vtavana
         - vlad-perevezentsev
         - ndgrigorian

doc/reference/linalg.rst

@@ -107,4 +107,20 @@ Exceptions
    :toctree: generated/
    :nosignatures:
 
-   dpnp.linalg.linAlgError
+   dpnp.linalg.LinAlgError
+
+Linear algebra on several matrices at once
+------------------------------------------
+
+Several of the linear algebra routines listed above are able to compute results
+for several matrices at once, if they are stacked into the same array.
+
+This is indicated in the documentation via input parameter specifications such
+as ``a : (..., M, M) {dpnp.ndarray, usm_ndarray}``. This means that if for
+instance given an input array ``a.shape == (N, M, M)``, it is interpreted as a
+"stack" of N matrices, each of size M-by-M. Similar specification applies to
+return values, for instance the determinant has ``det : (...)`` and will in
+this case return an array of shape ``det(a).shape == (N,)``. This generalizes
+to linear algebra operations on higher-dimensional arrays: the last 1 or 2
+dimensions of a multidimensional array are interpreted as vectors or matrices,
+as appropriate for each operation.

doc/reference/routines.rst

@@ -1,6 +1,5 @@
---------
-Routines
---------
+Routines (NumPy)
+================
 
 The following pages describe NumPy-compatible routines.
 These functions cover a subset of