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Update CHANGELOG.md with dpnp.tensor migration #2857

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vlad-perevezentsev merged 3 commits into from
Apr 16, 2026
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Update CHANGELOG.md with dpnp.tensor migration #2857

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Update CHANGELOG.md with dpnp.tensor migration
vlad-perevezentsev Apr 15, 2026
4a94fd7
Add dpnp.tensor.round boolean fix to CHANGELOG.md
vlad-perevezentsev Apr 15, 2026
f0d3b5a
Merge include-dpctl-tensor into update_changelog_tensor
vlad-perevezentsev Apr 16, 2026
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3 changes: 3 additions & 0 deletions CHANGELOG.md
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Expand Up @@ -6,6 +6,7 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0

## [0.20.0] - MM/DD/2026

This release introduces a major architectural change: the Array API-compliant tensor implementation has been migrated from `dpctl.tensor` into `dpnp.tensor`, simplifying maintenance, reducing cross-project dependencies, and allows the tensor implementation to evolve within `dpnp`.
This release changes the license from `BSD-2-Clause` to `BSD-3-Clause`.
This release achieves `dpnp` compatibility with Python 3.14 and enables distributing `dpnp` packages with the latest Python version.
Also, that release drops support for Python 3.9, making Python 3.10 the minimum required version.
Expand All @@ -28,6 +29,7 @@ Also, that release drops support for Python 3.9, making Python 3.10 the minimum
* Added implementation of `dpnp.isin` function [#2595](https://github.com/IntelPython/dpnp/pull/2595)
* Added implementation of `dpnp.scipy.linalg.lu` (SciPy-compatible) [#2787](https://github.com/IntelPython/dpnp/pull/2787)
* Added support for ndarray subclassing via `dpnp.ndarray.view` method with `type` parameter [#2815](https://github.com/IntelPython/dpnp/issues/2815)
* Migrated tensor implementation from `dpctl.tensor` into `dpnp.tensor`, making `dpnp` the primary owner of the Array API-compliant tensor layer [#2856](https://github.com/IntelPython/dpnp/pull/2856)
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### Changed

Expand Down Expand Up @@ -84,6 +86,7 @@ Also, that release drops support for Python 3.9, making Python 3.10 the minimum
* Resolved an issue with strides calculation in `dpnp.diagonal` to return correct values for empty diagonals [#2814](https://github.com/IntelPython/dpnp/pull/2814)
* Fixed test tolerance issues for float16 intermediate precision that became visible when testing against conda-forge's NumPy [#2828](https://github.com/IntelPython/dpnp/pull/2828)
* Ensured device aware dtype handling in `dpnp.identity` and `dpnp.gradient` [#2835](https://github.com/IntelPython/dpnp/pull/2835)
* Fixed `dpnp.tensor.round` to use device-aware output dtype for boolean input [#2851](https://github.com/IntelPython/dpnp/pull/2851)

### Security

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