Updated CHANGELOG.md for 0.14.0 release (#1703)

Co-authored-by: vtavana <120411540+vtavana@users.noreply.github.com>

CHANGELOG.md

@@ -4,10 +4,85 @@ All notable changes to this project will be documented in this file.
 The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/),
 and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html).
 
-## [0.13.0] - TBA
+## [0.14.0] - MM/DD/2024
 
 ### Added
 
+* Added implementation of `dpnp.nanmean` and `dpnp.nanstd` functions [#1654](https://github.com/IntelPython/dpnp/pull/1654)
+* Added implementation of `dpnp.angle` function [#1650](https://github.com/IntelPython/dpnp/pull/1650)
+* Added implementation of `dpnp.logsumexp` and `dpnp.reduce_hypot` functions [#1648](https://github.com/IntelPython/dpnp/pull/1648)
+* Added implementation of `dpnp.column_stack`, `dpnp.dstack` and `dpnp.row_stack` functions [#1647](https://github.com/IntelPython/dpnp/pull/1647)
+* Added implementation of `dpnp.nanargmax`, `dpnp.nanargmin`, `dpnp.nanmax` and `dpnp.nanmin` functions [#1646](https://github.com/IntelPython/dpnp/pull/1646)
+* Added implementation of `dpnp.clip` function, available as well as a method of dpnp array [#1645](https://github.com/IntelPython/dpnp/pull/1645)
+* Added implementation of `dpnp.copysign` and `dpnp.rsqrt` functions [#1624](https://github.com/IntelPython/dpnp/pull/1624)
+* Added implementation of `dpnp.linalg.slogdet` function [#1607](https://github.com/IntelPython/dpnp/pull/1607)
+* Added implementation of `dpnp.can_cast` function [#1600](https://github.com/IntelPython/dpnp/pull/1600)
+* Added implementation of `dpnp.linalg.solve` function [#1598](https://github.com/IntelPython/dpnp/pull/1598)
+* Added implementation of `dpnp.broadcast_arrays` function [#1594](https://github.com/IntelPython/dpnp/pull/1594)
+* Added implementation of `dpnp.tile` function [#1586](https://github.com/IntelPython/dpnp/pull/1586)
+* Added implementation of `dpnp.iinfo` and `dpnp.finfo` functions [#1582](https://github.com/IntelPython/dpnp/pull/1582)
+* Added implementation of `dpnp.logaddexp` function [#1561](https://github.com/IntelPython/dpnp/pull/1561)
+* Added implementation of `dpnp.positive` function [#1559](https://github.com/IntelPython/dpnp/pull/1559)
+
+### Changed
+
+* Enabled compatibility support against numpy `1.26.4` [#1690](https://github.com/IntelPython/dpnp/pull/1690)
+* Implemented `dpnp.true_divide` as an alias on `dpnp.divide` function [#1641](https://github.com/IntelPython/dpnp/pull/1641)
+* Added support of more number of data types and dimensions for input array in `dpnp.vdot` function [#1692](https://github.com/IntelPython/dpnp/pull/1692)
+* Added support of more number of data types and dimensions for input array in `dpnp.linalg.qr` function [#1673](https://github.com/IntelPython/dpnp/pull/1673)
+* Added support of more number of data types and dimensions for input array in `dpnp.dot` function [#1669](https://github.com/IntelPython/dpnp/pull/1669)
+* Added support of more number of data types and dimensions for input array in `dpnp.linalg.inv` function [#1665](https://github.com/IntelPython/dpnp/pull/1665)
+* Added support of more number of data types for input array in `dpnp.sort` and `dpnp.argsort` functions, as well as implementing support of `axis` keyword [#1660](https://github.com/IntelPython/dpnp/pull/1660)
+* Added support of more number of data types and dimensions for input array in `dpnp.linalg.cholesky` function, as well as implementing support of `upper` keyword [#1638](https://github.com/IntelPython/dpnp/pull/1638)
+* Added support of more number of data types and dimensions for input array in `dpnp.diff`, as well as implementing support of `prepend` and `append` keywords [#1637](https://github.com/IntelPython/dpnp/pull/1637)
+* Added support of more number of data types and dimensions for input array in `dpnp.matmul` function [#1616](https://github.com/IntelPython/dpnp/pull/1616)
+* Added support of more number of data types and dimensions for input array in `dpnp.linalg.det` function [#1607](https://github.com/IntelPython/dpnp/pull/1607)
+* Added support of more number of data types and dimensions for input array in `dpnp.linalg.svd` function, as well as implementing support of `full_matrices`, `compute_uv` and `hermitian` keywords [#1604](https://github.com/IntelPython/dpnp/pull/1604)
+* Accepted different data types and dimensions of input arrays in `dpnp.put_along_axis` and `dpnp.take_along_axis` functions, as well as available values of `axis` keyword [#1636](https://github.com/IntelPython/dpnp/pull/1636)
+* Added `keepdims`, `initial` and `where` keywords to `dpnp.amax` and `dpnp.amin` functions [#1639](https://github.com/IntelPython/dpnp/pull/1639)
+* Extended `dpnp.mesgrid` function to support `sparse` and `copy` keyword arguments [#1675](https://github.com/IntelPython/dpnp/pull/1675)
+* Extended `dpnp.average` function to support `axis`, `weights`, `returned` and `keepdims` keywords and `dpnp.nansum` function with `axis`, `dtype`, `keepdims` and `out` keyword arguments [#1654](https://github.com/IntelPython/dpnp/pull/1654)
+* Extended `dpnp.std`, `dpnp.var` and `nanvar` functions to support `axis`, `dtype`, `out` and `keepdims` keyword arguments [#1635](https://github.com/IntelPython/dpnp/pull/1635)
+* Extended `dpnp.ogrid` and `dpnp.mgrid` functions with support of device-aware keywords of compute follows data paradigm [#1622](https://github.com/IntelPython/dpnp/pull/1622)
+* Extended `dpnp.indices` function to support `dtype` and `sparse` keyword arguments, as well as device-aware keywords of compute follows data paradigm [#1622](https://github.com/IntelPython/dpnp/pull/1622)
+* Extended `dpnp.count_nonzero` function to support `axis` and `keepdims` keyword arguments [#1615](https://github.com/IntelPython/dpnp/pull/1615)
+* Extended `dpnp.put_along_axis` and `dpnp.take_along_axis` functions to support `out`, `dtype` and `casting` keyword arguments [#1608](https://github.com/IntelPython/dpnp/pull/1608)
+* Extended `dpnp.stack` and `dpnp.concatenate` functions to support `out`, `dtype` and `casting` keyword arguments [#1608](https://github.com/IntelPython/dpnp/pull/1608)
+* Extended `dpnp.vstack` function to support `dtype` and `casting` keyword arguments [#1595](https://github.com/IntelPython/dpnp/pull/1595)
+* Extended `dpnp.diag`, `dpnp.diagflat`, `dpnp.ptp` and `dpnp.vander` functions with support of extra keywords to align with compute follows data paradigm [#1579](https://github.com/IntelPython/dpnp/pull/1579)
+* Extended `dpnp.tri` and `dpnp.identity` functions with support of device-aware keywords of compute follows data paradigm [#1577](https://github.com/IntelPython/dpnp/pull/1577)
+* Added dedicated in-place kernels to `dpnp.divide` and `dpnp.floor_divide` functions [#1587](https://github.com/IntelPython/dpnp/pull/1587)
+* Redesigned `dpnp.cbrt` and `dpnp.exp2` functions through pybind11 extension of OneMKL call where possible or leveraging on `dpctl.tensor` implementation [#1624](https://github.com/IntelPython/dpnp/pull/1624)
+* Redesigned `dpnp.exp`, `dpnp.expm1`, `dpnp.log10`, `dpnp.log1p` and `dpnp.log2` functions through pybind11 extension of OneMKL call where possible or leveraging on `dpctl.tensor` implementation [#1576](https://github.com/IntelPython/dpnp/pull/1576)
+* Redesigned `dpnp.abs` function through pybind11 extension of OneMKL call where possible or leveraging on `dpctl.tensor` implementation [#1575](https://github.com/IntelPython/dpnp/pull/1575)
+* Redesigned `dpnp.hypot` function through pybind11 extension of OneMKL call where possible or leveraging on `dpctl.tensor` implementation [#1560](https://github.com/IntelPython/dpnp/pull/1560)
+* Leveraged `dpctl.tensor` implementation for `dpnp.reciprocal` function [#1650](https://github.com/IntelPython/dpnp/pull/1650)
+* Leveraged `dpctl.tensor` implementation for `dpnp.mean` function [#1632](https://github.com/IntelPython/dpnp/pull/1632)
+* Leveraged `dpctl.tensor` implementation for `dpnp.repeat` function [#1614](https://github.com/IntelPython/dpnp/pull/1614)
+* Leveraged `dpctl.tensor` implementation for `dpnp.argmax` and `dpnp.argmin` functions [#1610](https://github.com/IntelPython/dpnp/pull/1610)
+* Leveraged `dpctl.tensor` implementation for `dpnp.geomspace` and `dpnp.logspace` functions [#1603](https://github.com/IntelPython/dpnp/pull/1603)
+* Leveraged `dpctl.tensor` implementation for `dpnp.max` and `dpnp.min` functions [#1602](https://github.com/IntelPython/dpnp/pull/1602)
+* Leveraged `dpctl.tensor` implementation for `dpnp.astype` function [#1597](https://github.com/IntelPython/dpnp/pull/1597)
+* Leveraged `dpctl.tensor` implementation for `dpnp.maximum` and `dpnp.minimum` functions [#1558](https://github.com/IntelPython/dpnp/pull/1558)
+
+### Fixed
+
+* Resolved potential raising of execution placement error from `dpnp.take_along_axis` and `dpnp.put_along_axis` functions [#1702](https://github.com/IntelPython/dpnp/pull/1702)
+* Improved performance of `dpnp.matmul` and `dpnp.dot` function when `out` keyword is passed [#1694](https://github.com/IntelPython/dpnp/pull/1694)
+* Completed documentation for each array creation functions [#1674](https://github.com/IntelPython/dpnp/pull/1674)
+* Aligned `dpnp.clip` where both `min` and `max` keywords have `None` value with NumPy implementation [#1670](https://github.com/IntelPython/dpnp/pull/1670)
+* Fixed a bug related to `out` keyword in elementwise functions [#1656](https://github.com/IntelPython/dpnp/pull/1656)
+* Resolved compilation warnings due to `-Wvla-extension` option enabled by default [#1651](https://github.com/IntelPython/dpnp/pull/1651)
+* Replaced deprecated `IntelDPCPPConfig.cmake` script with vendored `IntelSYCLConfig.cmake` [#1611](https://github.com/IntelPython/dpnp/pull/1611)
+* Improved coverage report to include code of pybind11 extensions [#1609](https://github.com/IntelPython/dpnp/pull/1609)
+* Improved performance of `dpnp.atleast_2d` and `dpnp.atleast_3d` functions and fixed to return a correct shape of resulting array [#1560](https://github.com/IntelPython/dpnp/pull/1560)
+
+
+## [0.13.0] - 09/29/2023
+
+### Added
+
+* Added implementation of `dpnp.imag` and `dpnp.real` functions, as well as the corresponding properties and setters of dpnp array [#1557](https://github.com/IntelPython/dpnp/pull/1557)
 * Added implementation of flipping functions: `dpnp.flip`, `dpnp.fliplr` and `dpnp.flipud` [#1543](https://github.com/IntelPython/dpnp/pull/1543)
 * Added implementation of `dpnp.rint` function through `dpnp.round` call [#1537](https://github.com/IntelPython/dpnp/pull/1537)
 * Added in-place support for arithmetic operators [#1530](https://github.com/IntelPython/dpnp/pull/1530)
@@ -64,6 +139,7 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
 * Resolved issues with running random functions on a device without fp64 support [#1498](https://github.com/IntelPython/dpnp/pull/1498)
 * Resolved issues with running statistics functions on a device without fp64 support [#1494](https://github.com/IntelPython/dpnp/pull/1494)
 
+
 ## [0.12.1] - 07/18/2023
 
 ### Added