Update CHANGELOG.md with dpnp.tensor migration (#2857)

This PR adds `dpnp.tensor` migration entry to `CHANGELOG.md` and update
release summary

Author: vlad-perevezentsev

CHANGELOG.md

@@ -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.
@@ -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)
 
 ### Changed
 
@@ -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