Merge master into include-dpctl-tensor by vlad-perevezentsev · Pull Request #2843 · IntelPython/dpnp

vlad-perevezentsev · 2026-04-10T16:16:23Z

This PR synchronizes the include-dpctl-tensor branch with the current master branch

Have you provided a meaningful PR description?
Have you added a test, reproducer or referred to an issue with a reproducer?
Have you tested your changes locally for CPU and GPU devices?
Have you made sure that new changes do not introduce compiler warnings?
Have you checked performance impact of proposed changes?
Have you added documentation for your changes, if necessary?
Have you added your changes to the changelog?

Bumps [github/codeql-action](https://github.com/github/codeql-action) from 4.32.3 to 4.32.4.

This PR updates the `.pre-commit-config.yaml` using `pre-commit autoupdate`.

Bumps [actions/download-artifact](https://github.com/actions/download-artifact) from 7.0.0 to 8.0.0.

Bumps [actions/upload-artifact](https://github.com/actions/upload-artifact) from 6.0.0 to 7.0.0.

The PR updates marks observing `RuntimeWarning` as expected to suppress them. Also the PR update DLPack tests to avoid raising the warning in SYCL queue relating tests.

This PR adds `dpnp.scipy.linalg.lu()` with support for all three output modes: default `(P, L, U)`, `permute_l=True (PL, U)`, and `p_indices=True` `(p, L, U)`, including batched inputs. Fixes: #2786

This PR updates the code to consistently use the `dpnp.exceptions` module as the single source of the exceptions where it's applicable.

This PR implements few improvements for LU function in `dpnp.scipy.linalg` namespace: * resolved issue with `Returns` section formatting in `lu` function * changed to proper `func:` role for the functions cross-references in `See also` section * used `Warnings` section name instead of `Warning` * changed `{None, bool}` to `bool` for overwrite_a, check_finite, and overwrite_b parameters

This PR updates the `.pre-commit-config.yaml` using `pre-commit autoupdate`.

This PR follows up #2792 and marks one more `RuntimeWarning` warning as expected due to possible overflow.

Bumps [styfle/cancel-workflow-action](https://github.com/styfle/cancel-workflow-action) from 0.13.0 to 0.13.1.

This PR updates the `.pre-commit-config.yaml` using `pre-commit autoupdate`.

Bumps [actions/download-artifact](https://github.com/actions/download-artifact) from 8.0.0 to 8.0.1.

Bumps [github/codeql-action](https://github.com/github/codeql-action) from 4.32.4 to 4.32.6.

Bumps [mshick/add-pr-comment](https://github.com/mshick/add-pr-comment) from 2.8.2 to 3.9.0.

…ration (#2813) ## Summary - Migrate clang-format from `pocc/pre-commit-hooks` to `pre-commit/mirrors-clang-format` v22.1.0 - Update `.clang-format` config to maintain consistent code style across versions - Configure pylint to properly handle C extension modules (numpy, dpctl) - Remove manual clang-format-12 installation from GitHub workflow - Reformat all C++ files with clang-format v22 - Add reformatting commit to `.git-blame-ignore-revs` ## Changes ### Pre-commit configuration - Switch to `pre-commit/mirrors-clang-format` (v22.1.0) for better version pinning and consistency across environments - Add `--disable=c-extension-no-member` to pylint to avoid false positives on C extension objects ### Code style - Update `.clang-format`: Set `AfterControlStatement: Never` to preserve existing brace placement style - Reformat all C++ source files with clang-format v22 (net -159 lines due to template parameter formatting improvements) ### Pylint configuration - Add `extension-pkg-allow-list = ["numpy"]` to help pylint understand numpy better - Add `generated-members` patterns to handle dynamically created attributes on numpy types ### CI/CD - Remove obsolete `apt-get install clang-format-12` step from pre-commit workflow

…2812) The `create_data()` function had an early return when `usm_data` was already a dpnp memory class instance, which skipped setting the `ptr` attribute. This caused all array views to report the same base pointer, making `arr[0].data.ptr == arr[1].data.ptr` even though they point to different memory locations. The PR proposes a fix ensuring `ptr` is always set to `x._pointer`, which points to the start of the array's data (including any offset for views), rather than `usm_data._pointer` which points to the base buffer. Additionally, always create a new memory wrapper instance to avoid shared state when the same `usm_data` is used for multiple views. This PR closes #2781. - [x] Have you provided a meaningful PR description? - [x] Have you added a test, reproducer or referred to an issue with a reproducer? - [x] Have you tested your changes locally for CPU and GPU devices? - [x] Have you made sure that new changes do not introduce compiler warnings? - [ ] Have you checked performance impact of proposed changes? - [ ] Have you added documentation for your changes, if necessary? - [x] Have you added your changes to the changelog?

Previously `dpnp.diagonal()` returned incorrect strides when the diagonal was empty (e.g., when offset >= array width). The stride was set to itemsize instead of the correct `st_n + st_m`. This PR: * fixes stride calculation to consistently use (st_n + st_m) * simplifies implementation using unified formula to calculate resulting shape, strides, and offset * extends tests coverage including scenarios with empty diagonals, views, and non-contiguous arrays The PR closes #2761.

This PR proposes updating QR tests to avoid direct element-wise comparisons which became unstable with oneMKL 2026.0 due to sign and phase differences in otherwise valid QR results Since QR factorization is not unique, different MKL and NumPy versions may return results that differ by sign or complex phase while still representing a correct decomposition To make the tests more stable this PR proposes using invariant-based validation for `mode="raw"` and `mode="r"` based on the unitarity of the Q factor (Q^H Q = I) and the resulting QR identity R^H @ R = A^H @ A

This PR moves all SYCL kernel functors from extensions/ to kernels/ directory, improving the project structure. Moved kernels: - statistics: histogram, sliding_window1d functors - indexing: choose functor - window: bartlett, blackman, hamming, hanning, kaiser functors The PR also improves the code coverage report, since the SYCL kernels can be easy excluded from the report now.

The PR adds ndarray subclassing support via `ndarray.view()` method. It implements the `type` parameter in `dpnp.ndarray.view()` to enable custom subclasses, matching NumPy/CuPy behavior. Also includes proper `__array_finalize__` hook invocation for metadata propagation. The implementation is done through `_view_impl()` helper using 'array_class' parameter to avoid shadowing builtin 'type'. The tests scope is extended with new 7 tests for verifying subclassing support and enabling `TestSubclassArrayView` class from third party tests. This PR closes #2764.

Bumps [github/codeql-action](https://github.com/github/codeql-action) from 4.32.6 to 4.34.1.

Bumps [nick-fields/retry](https://github.com/nick-fields/retry) from 3.0.2 to 4.0.0.

This PR updates the `.pre-commit-config.yaml` using `pre-commit autoupdate`.

This PR fixes test failures when testing with `DPNP_TEST_ALL_INT_TYPES=1` against conda-forge's NumPy, where float16 precision is used in various scenarios requiring relaxed tolerances.

Bumps [github/codeql-action](https://github.com/github/codeql-action) from 4.34.1 to 4.35.1.

This PR updates the `.pre-commit-config.yaml` using `pre-commit autoupdate`.

The PR updates CMakeLists.txt to bump pybind11 `3.0.3` up from `3.0.2` version.

This PR ensures that default dtype selection respects device-specific capabilities across multiple functions. The PR includes changes: - `dpnp.identity`: Remove redundant default dtype handling. The function now delegates dtype resolution to dpnp.eye(), which already handles device-aware default types correctly. - `dpnp.gradient`: Pass sycl_queue parameter to default_float_type() calls to ensure the selected float type is compatible with the device where the array resides. This prevents issues when converting integer arrays on devices with different dtype support. The PR also updates SYCL queue tests to fix the parametrization to generate device-dtype pairs using a new get_all_dev_dtypes() helper. Each device is now tested only with dtypes it actually supports (e.g., devices without fp64 support won't test fp64), preventing false failures and unnecessary test combinations.

Bumps [mshick/add-pr-comment](https://github.com/mshick/add-pr-comment) from 3.9.0 to 3.10.0.

This PR updates the `.pre-commit-config.yaml` using `pre-commit autoupdate`.

The PR updates `conda-index` version to `0.10.0`.

github-actions · 2026-04-13T00:34:31Z

View rendered docs @ https://intelpython.github.io/dpnp/pull/2843/index.html

coveralls · 2026-04-13T00:54:04Z

Coverage is 77.879% — update-include-dpctl-tensor into include-dpctl-tensor. No base build found for include-dpctl-tensor.

github-actions · 2026-04-13T01:10:36Z

Array API standard conformance tests for dpnp=0.20.0dev6=py313h509198e_43 ran successfully.
Passed: 1358
Failed: 2
Skipped: 16

ndgrigorian

tests pass, LGTM

antonwolfy · 2026-04-13T11:54:12Z

dpnp/backend/extensions/indexing/CMakeLists.txt

 target_include_directories(
    ${python_module_name}
    PRIVATE
+        ${CMAKE_CURRENT_SOURCE_DIR}/../../


is that correct? master has:

target_include_directories( ${python_module_name} PRIVATE ${CMAKE_CURRENT_SOURCE_DIR}/../../ ${CMAKE_CURRENT_SOURCE_DIR}/../common )

If pre-commit is successful,then this is the correct style for it

Maybe the two lines could be combined into one but we now have four

My question wan mainly, why do we have 4 includes now here? what is changed that affected legacy list of includes?

To be more specific: why do we need ${CMAKE_SOURCE_DIR}/dpnp/backend/include ?

Previously this header came from dpctl and was found via ${Dpctl_INCLUDE_DIRS}
After the migration the explicit path is required because without it I get
fatal error: 'dpnp4pybind11.hpp' file not found during the build

Also you added these changes yourself when you introduced dpnp4pybind11.hpp
https://github.com/IntelPython/dpnp/pull/2734/changes#diff-184866ecda4860667a4d6bf8df98717810e828d440988865ee60b113e02fea6bR67

dpnp/backend/extensions/indexing/CMakeLists.txt

antonwolfy · 2026-04-13T11:56:59Z

dpnp/backend/extensions/statistics/CMakeLists.txt

 target_include_directories(
    ${python_module_name}
    PRIVATE
+        ${CMAKE_CURRENT_SOURCE_DIR}/../../


the same comments/questions here as for indexing CMake file

There was a w/a implemented in scope of [dpctl#2275](IntelPython/dpctl#2275). Thus the PR enables the previously muted tests for `dpnp.cumlogsumexp`.

Bumps [actions/upload-artifact](https://github.com/actions/upload-artifact) from 7.0.0 to 7.0.1.

Bumps [peter-evans/create-pull-request](https://github.com/peter-evans/create-pull-request) from 8.1.0 to 8.1.1.

…eLists

antonwolfy · 2026-04-13T13:11:22Z

dpnp/__main__.py

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# Copyright (c) 2026, Intel Corporation

dependabot bot and others added 30 commits February 24, 2026 10:03

Bump github/codeql-action from 4.32.3 to 4.32.4 (#2780)

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Bumps [github/codeql-action](https://github.com/github/codeql-action) from 4.32.3 to 4.32.4.

Weekly pre-commit autoupdate (#2779)

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This PR updates the `.pre-commit-config.yaml` using `pre-commit autoupdate`.

Weekly pre-commit autoupdate (#2788)

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This PR updates the `.pre-commit-config.yaml` using `pre-commit autoupdate`.

Bump actions/download-artifact from 7.0.0 to 8.0.0 (#2790)

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Bumps [actions/download-artifact](https://github.com/actions/download-artifact) from 7.0.0 to 8.0.0.

Bump actions/upload-artifact from 6.0.0 to 7.0.0 (#2789)

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Bumps [actions/upload-artifact](https://github.com/actions/upload-artifact) from 6.0.0 to 7.0.0.

Mute expecting runtime warning raised in tests (#2792)

7803d3a

The PR updates marks observing `RuntimeWarning` as expected to suppress them. Also the PR update DLPack tests to avoid raising the warning in SYCL queue relating tests.

Add scipy.linalg.lu() decomposition support (#2787)

2c86497

This PR adds `dpnp.scipy.linalg.lu()` with support for all three output modes: default `(P, L, U)`, `permute_l=True (PL, U)`, and `p_indices=True` `(p, L, U)`, including batched inputs. Fixes: #2786

Import exceptions directly from dpnp.exceptions module (#2798)

a2825a1

This PR updates the code to consistently use the `dpnp.exceptions` module as the single source of the exceptions where it's applicable.

Weekly pre-commit autoupdate (#2808)

7fae3a6

This PR updates the `.pre-commit-config.yaml` using `pre-commit autoupdate`.

Mute expecting runtime warning raised in the test (#2822)

c5f212a

This PR follows up #2792 and marks one more `RuntimeWarning` warning as expected due to possible overflow.

Bump styfle/cancel-workflow-action from 0.13.0 to 0.13.1 (#2820)

7d9765b

Bumps [styfle/cancel-workflow-action](https://github.com/styfle/cancel-workflow-action) from 0.13.0 to 0.13.1.

Weekly pre-commit autoupdate (#2818)

19efa58

This PR updates the `.pre-commit-config.yaml` using `pre-commit autoupdate`.

Bump actions/download-artifact from 8.0.0 to 8.0.1 (#2819)

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Bumps [actions/download-artifact](https://github.com/actions/download-artifact) from 8.0.0 to 8.0.1.

Bump github/codeql-action from 4.32.4 to 4.32.6 (#2809)

506a775

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Bump mshick/add-pr-comment from 2.8.2 to 3.9.0 (#2821)

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Bumps [mshick/add-pr-comment](https://github.com/mshick/add-pr-comment) from 2.8.2 to 3.9.0.

Bump github/codeql-action from 4.32.6 to 4.34.1 (#2827)

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Bump nick-fields/retry from 3.0.2 to 4.0.0 (#2826)

10d1212

Bumps [nick-fields/retry](https://github.com/nick-fields/retry) from 3.0.2 to 4.0.0.

Weekly pre-commit autoupdate (#2825)

5e5dc24

This PR updates the `.pre-commit-config.yaml` using `pre-commit autoupdate`.

Fix test tolerances for float16 precision in math tests (#2828)

744e57f

This PR fixes test failures when testing with `DPNP_TEST_ALL_INT_TYPES=1` against conda-forge's NumPy, where float16 precision is used in various scenarios requiring relaxed tolerances.

Bump github/codeql-action from 4.34.1 to 4.35.1 (#2833)

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Bumps [github/codeql-action](https://github.com/github/codeql-action) from 4.34.1 to 4.35.1.

Weekly pre-commit autoupdate (#2832)

d838c4b

This PR updates the `.pre-commit-config.yaml` using `pre-commit autoupdate`.

Use Pybind11 3.0.3 to build dpnp (#2834)

e36835d

The PR updates CMakeLists.txt to bump pybind11 `3.0.3` up from `3.0.2` version.

dependabot bot and others added 5 commits April 7, 2026 17:10

Bump mshick/add-pr-comment from 3.9.0 to 3.10.0 (#2838)

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Bumps [mshick/add-pr-comment](https://github.com/mshick/add-pr-comment) from 3.9.0 to 3.10.0.

Weekly pre-commit autoupdate (#2837)

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This PR updates the `.pre-commit-config.yaml` using `pre-commit autoupdate`.

Bump conda-index version (#2839)

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The PR updates `conda-index` version to `0.10.0`.

Merge master into include-dpctl-tensor

d30c357

Use ExecutionPlacementError from dpnp.exceptions in dpnp

d835f96

vlad-perevezentsev requested review from antonwolfy and ndgrigorian as code owners April 10, 2026 16:16

vlad-perevezentsev changed the title ~~Update include dpctl tensor~~ Merge master into include-dpctl-tensor Apr 10, 2026

Apply clang-format

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ndgrigorian previously approved these changes Apr 13, 2026

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antonwolfy reviewed Apr 13, 2026

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ndgrigorian and others added 7 commits April 13, 2026 05:53

add __main__.py

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add test for new CLI options

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Remove the unnecessary inludes after the merge

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Enable muted tests for dpnp.cumlogsumexp (#2842)

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There was a w/a implemented in scope of [dpctl#2275](IntelPython/dpctl#2275). Thus the PR enables the previously muted tests for `dpnp.cumlogsumexp`.

Bump actions/upload-artifact from 7.0.0 to 7.0.1 (#2847)

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Bump peter-evans/create-pull-request from 8.1.0 to 8.1.1 (#2846)

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Remove redundant Dpctl_TENSOR_INCLUDE_DIR from backend extension CMak…

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vlad-perevezentsev dismissed ndgrigorian’s stale review via 3a1db6f April 13, 2026 12:53

vlad-perevezentsev force-pushed the update-include-dpctl-tensor branch from bdf6d9e to 3a1db6f Compare April 13, 2026 12:53

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Merge master into include-dpctl-tensor#2843

Merge master into include-dpctl-tensor#2843
vlad-perevezentsev wants to merge 43 commits intoinclude-dpctl-tensorfrom
update-include-dpctl-tensor

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