From 48138106a28c3a4bf5c28910702252fa4d9ad472 Mon Sep 17 00:00:00 2001 From: Anton <100830759+antonwolfy@users.noreply.github.com> Date: Tue, 12 Sep 2023 20:37:22 +0200 Subject: [PATCH] Update change log due to 2024.0 release (#1555) * Updated change log towards 2024.0 release * Added gh-1543 * Corrected description for gh-1545 --- CHANGELOG.md | 58 +++++++++++++++++++++++++++++++++++++++++++++++++--- 1 file changed, 55 insertions(+), 3 deletions(-) diff --git a/CHANGELOG.md b/CHANGELOG.md index 01911ea4911..a15f81807cc 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -4,14 +4,66 @@ 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). -## [0.12.2] - TBA +## [0.13.0] - TBA ### Added +* 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) +* Dropped build and uploading the package with `python=3.8` to `dppy/label/dev` channel of Anaconda [#1534](https://github.com/IntelPython/dpnp/pull/1534) +* Implemented build and uploading the package with `python=3.11` to `dppy/label/dev` channel of Anaconda [#1501](https://github.com/IntelPython/dpnp/pull/1501) +* Added the versioneer to compute a product version number [#1497](https://github.com/IntelPython/dpnp/pull/1497) +* Added `cython` support of `3.0.0` or above version [#1495](https://github.com/IntelPython/dpnp/pull/1495) + ### Changed +* Updated `Build from source` section in `README.md` to state all the required prerequisite packages [#1553](https://github.com/IntelPython/dpnp/pull/1553) +* Reworked `dpnp.hstack` and `dpnp.atleast_1d` through existing functions to get rid of falling back on NumPy [#1544](https://github.com/IntelPython/dpnp/pull/1544) +* Reworked `dpnp.asfarray` through existing functions to get rid of falling back on NumPy [#1542](https://github.com/IntelPython/dpnp/pull/1542) +* Converted from `raw` to `multi_ptr` with `address_space_cast` to adopt towards changes introduced in `SYCL 2020` [#1538](https://github.com/IntelPython/dpnp/pull/1538) +* Updated install instruction via `pip` [#1531](https://github.com/IntelPython/dpnp/pull/1531) +* Reworked `dpnp.copyto` through existing functions instead of a separate kernel [#1516](https://github.com/IntelPython/dpnp/pull/1516) +* Aligned default order value with NumPy in asarray-like functions [#1526](https://github.com/IntelPython/dpnp/pull/1526) +* Created unary and binary elementwise functions at module import [#1522](https://github.com/IntelPython/dpnp/pull/1522) +* Redesigned trigonometric and hyperbolic functions through pybind11 extension of OneMKL calls where possible or leveraging on `dpctl.tensor` implementation [#1545](https://github.com/IntelPython/dpnp/pull/1545) +* Added `dpnp.signbit` and `dpnp.proj` functions implemented through pybind11 extension of OneMKL calls where possible or leveraging on `dpctl.tensor` implementation [#1535](https://github.com/IntelPython/dpnp/pull/1535) +* Redesigned `dpnp.round` and `dpnp.around` functions through pybind11 extension of OneMKL calls where possible or leveraging on `dpctl.tensor` implementation [#1520](https://github.com/IntelPython/dpnp/pull/1520) +* Redesigned `dpnp.sign` and `dpnp.negative` functions through pybind11 extension of OneMKL calls where possible or leveraging on `dpctl.tensor` implementation [#1523](https://github.com/IntelPython/dpnp/pull/1523) +* Redesigned `dpnp.conjugate` and `dpnp.conj` functions through pybind11 extension of OneMKL calls where possible or leveraging on `dpctl.tensor` implementation [#1519](https://github.com/IntelPython/dpnp/pull/1519) +* Redesigned `dpnp.ceil`, `dpnp.floor` and `dpnp.trunc` functions through pybind11 extension of OneMKL calls where possible or leveraging on `dpctl.tensor` implementation [#1518](https://github.com/IntelPython/dpnp/pull/1518) +* Redesigned `dpnp.remainder` and `dpnp.mod` functions through pybind11 extension of OneMKL calls where possible or leveraging on `dpctl.tensor` implementation [#1515](https://github.com/IntelPython/dpnp/pull/1515) +* Redesigned `dpnp.power` function through pybind11 extension of OneMKL calls where possible or leveraging on `dpctl.tensor` implementation [#1476](https://github.com/IntelPython/dpnp/pull/1476) +* Leveraged `dpctl.tensor` implementation for `dpnp.put` function [#1529](https://github.com/IntelPython/dpnp/pull/1529) +* Leveraged `dpctl.tensor` implementation for `dpnp.roll` and `dpnp.rollaxis` functions [#1517](https://github.com/IntelPython/dpnp/pull/1517) +* Leveraged `dpctl.tensor` implementation for `dpnp.copy` function [#1540](https://github.com/IntelPython/dpnp/pull/1540) +* Leveraged `dpctl.tensor` implementation for `dpnp.expand_dims` and `dpnp.swapaxes` functions [#1532](https://github.com/IntelPython/dpnp/pull/1532) +* Leveraged `dpctl.tensor` implementation for bitwise operations [#1508](https://github.com/IntelPython/dpnp/pull/1508) +* Leveraged `dpctl.tensor` implementation for `dpnp.all` and `dpnp.any` functions [#1512](https://github.com/IntelPython/dpnp/pull/1512) +* Leveraged `dpctl.tensor` implementation for `dpnp.stack` function [#1509](https://github.com/IntelPython/dpnp/pull/1509) +* Leveraged `dpctl.tensor` implementation for `dpnp.concatenate` function [#1507](https://github.com/IntelPython/dpnp/pull/1507) +* Leveraged `dpctl.tensor` implementation for `dpnp.isnan`, `dpnp.isinf` and `dpnp.isfinite` functions [#1504](https://github.com/IntelPython/dpnp/pull/1504) +* Leveraged `dpctl.tensor` implementation for `dpnp.take` function [#1492](https://github.com/IntelPython/dpnp/pull/1492) +* Refreshed API References block in the documentation [#1490](https://github.com/IntelPython/dpnp/pull/1490) +* Refreshed documentation to reflect an actual product behavior [#1485](https://github.com/IntelPython/dpnp/pull/1485) +* Upgraded the build flow to use newer `pybind11=2.11.1` version [#1510](https://github.com/IntelPython/dpnp/pull/1510) +* Updated pre-commit hooks to run with `flake8=6.1.0` and `black=23.7.0` [#1505](https://github.com/IntelPython/dpnp/pull/1505) +* Pinned DPC++ and OneMKL versions to `2023.2`` release [#1496](https://github.com/IntelPython/dpnp/pull/1496) +* Added a specialized kernel for F-contiguous arrays to `dpnp.sum` with `axis=1` [#1489](https://github.com/IntelPython/dpnp/pull/1489) +* Removed a workaround to Klockwork since it is not used anymore due to transition to Coverity tool [#1493](https://github.com/IntelPython/dpnp/pull/1493) + ### Fixed +* Resolved `Logically dead code` issue addressed by Coverity scan [#1541](https://github.com/IntelPython/dpnp/pull/1541) +* Resolved `Arguments in wrong order` issue addressed by Coverity scan [#1513](https://github.com/IntelPython/dpnp/pull/1513) +* Resolved `Pointer to local outside scope` issue addressed by Coverity scan [#1514](https://github.com/IntelPython/dpnp/pull/1514) +* Fixed assigning a value to potentially none-valued dictionary coverage generation script [#1511](https://github.com/IntelPython/dpnp/pull/1511) +* Resolved issues with running `dpnp.allclose` function on a device without fp64 support [#1536](https://github.com/IntelPython/dpnp/pull/1536) +* Resolved issues with running FFT functions on a device without fp64 support [#1524](https://github.com/IntelPython/dpnp/pull/1524) +* Resolved issues with running mathematical functions on a device without fp64 support [#1502](https://github.com/IntelPython/dpnp/pull/1502) +* 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 @@ -29,8 +81,8 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0 * Pinned to `dpctl>=0.14.5` as host and run dependencies [#1481](https://github.com/IntelPython/dpnp/pull/1481) * Pinned dependent `cython` package to a version less than `3.0.0` [#1480](https://github.com/IntelPython/dpnp/pull/1480) * Added a specialized kernel for `dpnp.sum` with `axis=0` as a pybind11 extension [#1479](https://github.com/IntelPython/dpnp/pull/1479) -* Redesigned `dpnp.square` function through pybind11 extension of OneMKL call where possible or Leveraging on `dpctl.tensor` implementation [#1473](https://github.com/IntelPython/dpnp/pull/1473) -* Redesigned `dpnp.cos` and `dpnp.sin` functions through pybind11 extension of OneMKL calls where possible or Leveraging on `dpctl.tensor` implementation [#1471](https://github.com/IntelPython/dpnp/pull/1471) +* Redesigned `dpnp.square` function through pybind11 extension of OneMKL call where possible or leveraging on `dpctl.tensor` implementation [#1473](https://github.com/IntelPython/dpnp/pull/1473) +* Redesigned `dpnp.cos` and `dpnp.sin` functions through pybind11 extension of OneMKL calls where possible or leveraging on `dpctl.tensor` implementation [#1471](https://github.com/IntelPython/dpnp/pull/1471) * Redesigned `dpnp.sqrt` function through pybind11 extension of OneMKL call where possible or leveraging on `dpctl.tensor` implementation [#1470](https://github.com/IntelPython/dpnp/pull/1470) * Redesigned `dpnp.log` function through pybind11 extension of OneMKL call where possible or leveraging on `dpctl.tensor` implementation [#1469](https://github.com/IntelPython/dpnp/pull/1469) * Leveraged `dpctl.tensor` implementation for logical operations [#1464](https://github.com/IntelPython/dpnp/pull/1464)