Skip to content

Populate changelog for 0.19.0 release #1997

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
merged 1 commit into from
Feb 18, 2025
Merged

Populate changelog for 0.19.0 release #1997

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
91 changes: 81 additions & 10 deletions CHANGELOG.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -4,47 +4,118 @@ 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).

## [dev] - XXX. XX, 2025
## [0.19.0] - Feb. XX, 2025

This release features official, out-of-the-box support for compiling `dpctl` for specified AMD GPU architectures, the addition of new function `tensor.top_k`, a radix-sort-based implementation of sorting functions, and improvements to interoperability with DLPack through `tensor.dldevice_to_sycl_device` and `tensor.sycl_device_to_dldevice`.

A number of adjustments were also made to improve performance of `dpctl` reductions (i.e., `sum`, `min`, `max`, etc.), accumulators (i.e., `cumulative_sum`, `cumulative_logsumexp`), and copy-and-cast operations.

### Added

* Added `dpctl.tensor.top_k` per Python Array API specification: [#1921](https://github.com/IntelPython/dpctl/pull/1921)
* Support for compiling `dpctl` for specified AMD GPU architecture with use of [CodePlay oneAPI plug-in](https://developer.codeplay.com/products/oneapi/amd/home/) [#1731](https://github.com/IntelPython/dpctl/pull/1731)
* Added `tensor.top_k` per Python Array API specification [#1921](https://github.com/IntelPython/dpctl/pull/1921)
* Added functions `tensor.dldevice_to_sycl_device` and `tensor.sycl_device_to_dldevice` for converting between DLPack and sycl devices, and a method `get_device_id` to `dpctl.SyclDevice` to improve interoperability with DLPack protocol [gh-1953](https://github.com/IntelPython/dpctl/pull/1953)
* Added `DPCTL_OFFLOAD_COMPRESS` cmake option (set to `OFF` by default) to toggle [--offload-compress](https://www.intel.com/content/www/us/en/developer/articles/technical/sycl-compilation-device-image-compression.html) linker option when building `dpctl` [gh-1961](https://github.com/IntelPython/dpctl/pull/1961)

### Changed

* Improved performance of copy-and-cast operations from `numpy.ndarray` to `tensor.usm_ndarray` for contiguous inputs [gh-1829](https://github.com/IntelPython/dpctl/pull/1829)
* `py_sort` and `py_argsort` now throw `py::value_error` if inputs are not C-contiguous [gh-1838](https://github.com/IntelPython/dpctl/pull/1838)
* Improved performance of copying operation to C-/F-contig array, with optimization for batch of square matrices [gh-1850](https://github.com/IntelPython/dpctl/pull/1850)
* Improved performance of `tensor.argsort` function for all types [gh-1859](https://github.com/IntelPython/dpctl/pull/1859)
* Improved performance of `tensor.sort` and `tensor.argsort` for short arrays in the range [16, 64] elements [gh-1866](https://github.com/IntelPython/dpctl/pull/1866)
* Implement radix sort algorithm to be used in `dpt.sort` and `dpt.argsort` [gh-1867](https://github.com/IntelPython/dpctl/pull/1867)
* Implement radix sort algorithm to be used in `dpt.sort` and `dpt.argsort` [gh-1867](https://github.com/IntelPython/dpctl/pull/1867), [gh-1883](https://github.com/IntelPython/dpctl/pull/1883)
* Extended `dpctl.SyclTimer` with `device_timer` keyword, implementing different methods of collecting device times [gh-1872](https://github.com/IntelPython/dpctl/pull/1872)
* Improved performance of `tensor.cumulative_sum`, `tensor.cumulative_prod`, `tensor.cumulative_logsumexp` as well as performance of boolean indexing [gh-1923](https://github.com/IntelPython/dpctl/pull/1923)
* Improved performance of `tensor.min`, `tensor.max`, `tensor.logsumexp`, `tensor.reduce_hypot` for floating point type arrays by at least 2x [gh-1932](https://github.com/IntelPython/dpctl/pull/1932)
* `dpctl` changed to see GPU devices out of the box in virtual environment on Windows [gh-1922](https://github.com/IntelPython/dpctl/pull/1922)
* Improved performance of `tensor.cumulative_sum`, `tensor.cumulative_prod`, `tensor.cumulative_logsumexp` as well as performance of boolean indexing [gh-1923](https://github.com/IntelPython/dpctl/pull/1923), [gh-1942](https://github.com/IntelPython/dpctl/pull/1942)
* Improved performance of `tensor.min`, `tensor.max`, `tensor.logsumexp`, `tensor.reduce_hypot` for floating point type arrays by at least 2x [gh-1932](https://github.com/IntelPython/dpctl/pull/1932), [gh-1937](https://github.com/IntelPython/dpctl/pull/1937)
* Updated Cython examples to use scikit-build [gh-1935](https://github.com/IntelPython/dpctl/pull/1935)
* Reduced binary size of `_tensor_accumulation_impl` by 13 MB [gh-1957](https://github.com/IntelPython/dpctl/pull/1957)
* Extended `tensor.asarray` to support objects that implement `__usm_ndarray__` property to be interpreted as `usm_ndarray` objects [gh-1959](https://github.com/IntelPython/dpctl/pull/1959)
* `dpctl.tensor.usm_ndarray` object disallows implicit conversions to NumPy array [gh-1964](https://github.com/IntelPython/dpctl/pull/1964)
* `tensor.usm_ndarray` object disallows implicit conversions to NumPy array [gh-1964](https://github.com/IntelPython/dpctl/pull/1964)
* `stream` arguments in `tensor.usm_ndarray` methods now raise an error if `stream` is not a `tensor.SyclQueue` [gh-1969](https://github.com/IntelPython/dpctl/pull/1969)
* `dpctl` initialization sets subprocess to use SPAWN method on Linux to enable `gdb-oneapi` to debug kernels submitted from Python applications [gh-1971](https://github.com/IntelPython/dpctl/pull/1971)
* Reduce binary size of `_tensor_elementwise_impl` [gh-1976](https://github.com/IntelPython/dpctl/pull/1976)
Copy link
Collaborator

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Suggested change
* Reduce binary size of `_tensor_elementwise_impl` [gh-1976](https://github.com/IntelPython/dpctl/pull/1976)
* Reduced binary size of `_tensor_elementwise_impl` [gh-1976](https://github.com/IntelPython/dpctl/pull/1976)

* Allow `dpctl.SyclQueue.memcpy` to and from multi-dimensional buffers [gh-1985](https://github.com/IntelPython/dpctl/pull/1985)

### Fixed

* Fixed a bug in `tensor.roll` for very large values of `shift` [gh-1869](https://github.com/IntelPython/dpctl/pull/1869)
* Fix for `tensor.result_type` when all inputs are Python built-in scalars [gh-1877](https://github.com/IntelPython/dpctl/pull/1877)
* Improved error in constructors `tensor.full` and `tensor.full_like` when provided a non-numeric fill value [gh-1878](https://github.com/IntelPython/dpctl/pull/1878)
* Added a check for pointer alignment when copying to C-contiguous memory [gh-1890](https://github.com/IntelPython/dpctl/pull/1890)
* Added a check for pointer alignment when copying to C-contiguous memory [gh-1890](https://github.com/IntelPython/dpctl/pull/1890), [gh-1891](https://github.com/IntelPython/dpctl/pull/1891)
* Fixed `dpctl` installed into virtual environment not finding DPC++ runtime libraries by adding `DPCTL_WITH_REDIST` cmake option (set to `OFF` by default) [gh-1893](https://github.com/IntelPython/dpctl/pull/1893)
* Fixed incorrect result (issue [gh-1901](https://github.com/IntelPython/dpctl/issues/1901)) in `tensor.cumulative_sum` and in advanced indexing [gh-1902](https://github.com/IntelPython/dpctl/pull/1902)
* Fixed `__setitem__()` for `tensor.usm_ndarray` when passed an empty boolean mask [gh-1915](https://github.com/IntelPython/dpctl/pull/1915)
* `tensor.from_dlpack` docstring now shows that return type can be NumPy array and stipulates when this will be the case [gh-1919](https://github.com/IntelPython/dpctl/pull/1919)
* Fixed docstring in helper class in DLPack tests [gh-1920](https://github.com/IntelPython/dpctl/pull/1920)
* Fixed a bug in `tensor.astype` where `copy=False` would not be respected for 1d arrays when order keyword is specified [gh-1928](https://github.com/IntelPython/dpctl/pull/1928)
* Replaced deprecated `CL/sycl.hpp` with recommended `sycl/sycl.hpp` in examples [gh-1933](https://github.com/IntelPython/dpctl/pull/1933)
* Fixed `tensor.take_along_axis` and `tensor.put_along_axis` raising an error for `tensor.uint64` indices when given an array of dimension greater than 1 [gh-1934](https://github.com/IntelPython/dpctl/pull/1934)
* Fixed unexpected results of `tensor.sum` with a requested output type of `bool` [gh-1958](https://github.com/IntelPython/dpctl/pull/1958)
* Use `std::move` to avoid unnecessary copying of temporary in `triul_ctor.cpp` [gh-1960](https://github.com/IntelPython/dpctl/pull/1960)
* Make `stream` a keyword-only argument in `tensor.usm_ndarray.to_device` per requirement by array API specification [gh-1966](https://github.com/IntelPython/dpctl/pull/1966)
* Improve efficiency of copy implementation and avoid an unnecessary kernel invocation in `tensor.argsort` for 1d input [gh-1967](https://github.com/IntelPython/dpctl/pull/1967)
* Corrected uses of NumPy constructors with `tensor.usm_ndarray` inputs in test suite [gh-1968](https://github.com/IntelPython/dpctl/pull/1968)
* Fixed array API namespace inspection utilities showing `complex128` as a valid dtype on devices without double precision and `device` keywords not working with `dpctl.SyclQueue` or filter strings [gh-1979](https://github.com/IntelPython/dpctl/pull/1979)
* Fixed a bug in `test_sycl_device_interface.cpp` which would cause compilation to fail with Clang version 20.0 [gh-1989](https://github.com/IntelPython/dpctl/pull/1989)

### Maintenance

* Revert pinning of cmake to 3.26 on Windows [gh-1823](https://github.com/IntelPython/dpctl/pull/1823)
* Update black version used in Python code style workflow [gh-1828](https://github.com/IntelPython/dpctl/pull/1828)
* Fixed CI/CD workflow for building conda packages on Windows [gh-1831](https://github.com/IntelPython/dpctl/pull/1831)
* Revert work-around in `test_sycl_kernel_submit.py` for problem in MKL 2024.2.0 [gh-1836](https://github.com/IntelPython/dpctl/pull/1836)
* Do not use Mambaforge variant of miniforge as deprecated [gh-1844](https://github.com/IntelPython/dpctl/pull/1844)
* Use pybind11=2.13.6 [gh-1845](https://github.com/IntelPython/dpctl/pull/1845)
* Remove unnecessary include in C++ header file [gh-1846](https://github.com/IntelPython/dpctl/pull/1846)
* Build translation unit "simplify_iteration_space.cpp" compiled multiple times as a static library [gh-1847](https://github.com/IntelPython/dpctl/pull/1847)
* Fix warning in documentation generation caused by `diff` docstring [gh-1855](https://github.com/IntelPython/dpctl/pull/1855)
* Fix additional warnings when generating docs [gh-1861](https://github.com/IntelPython/dpctl/pull/1861)
* Add instructions for installing `dpctl` from Intel PyPi channel [gh-1860](https://github.com/IntelPython/dpctl/pull/1860)
* Fix warnings when generating docs [gh-1855](https://github.com/IntelPython/dpctl/pull/1855), [gh-1861](https://github.com/IntelPython/dpctl/pull/1861)
* Align conda recipe with conda-forge's `{{ stdlib("c") }}` migration [gh-1868](https://github.com/IntelPython/dpctl/pull/1868)
* Add missing include of SYCL header to "math_utils.hpp" [gh-1899](https://github.com/IntelPython/dpctl/pull/1899)
* Add support of CV-qualifiers in `is_complex<T>` helper [gh-1900](https://github.com/IntelPython/dpctl/pull/1900)
* Tuning work for elementwise functions with modest performance gains (under 10%) [gh-1889](https://github.com/IntelPython/dpctl/pull/1889)
* Support for Python 3.13 for `dpctl` [gh-1941](https://github.com/IntelPython/dpctl/pull/1941)
* Reduce binary size of accumulators by saving repeated expressions to a temporary [gh-1896](https://github.com/IntelPython/dpctl/pull/1896)
* Added workflow to run nightly tests of `dpctl` [gh-1903](https://github.com/IntelPython/dpctl/pull/1903), [gh-1905](https://github.com/IntelPython/dpctl/pull/1905)
* Support and testing for Python 3.13 for `dpctl` [gh-1941](https://github.com/IntelPython/dpctl/pull/1941), [gh-1943](https://github.com/IntelPython/dpctl/pull/1943)
* Change libtensor to use `std::size_t` and `dpctl::tensor::ssize_t` throughout and fix missing includes for `std::size_t` and `size_t` [gh-1950](https://github.com/IntelPython/dpctl/pull/1950)
* Fixed some unqualified `size_t` and fixed-width integral types in `libtensor` [gh-1955](https://github.com/IntelPython/dpctl/pull/1955)
* Add versioneer as a build requirement in documentation on building `dpctl` from source [gh-1972](https://github.com/IntelPython/dpctl/pull/1972)
* Remove const qualifiers for class and struct members [gh-1974](https://github.com/IntelPython/dpctl/pull/1974), [gh-1975](https://github.com/IntelPython/dpctl/pull/1975)
* Various code quality improvements to `test_sycl_queue_submit_local_accessor_arg.cpp` [gh-1990](https://github.com/IntelPython/dpctl/pull/1990)
* Miscellaneous changes to continuous integration/delivery (CI/CD) supporting scripts:
[gh-1837](https://github.com/IntelPython/dpctl/pull/1837),
[gh-1839](https://github.com/IntelPython/dpctl/pull/1839),
[gh-1848](https://github.com/IntelPython/dpctl/pull/1848),
[gh-1853](https://github.com/IntelPython/dpctl/pull/1853),
[gh-1854](https://github.com/IntelPython/dpctl/pull/1854),
[gh-1856](https://github.com/IntelPython/dpctl/pull/1856),
[gh-1858](https://github.com/IntelPython/dpctl/pull/1858),
[gh-1863](https://github.com/IntelPython/dpctl/pull/1863),
[gh-1864](https://github.com/IntelPython/dpctl/pull/1864),
[gh-1865](https://github.com/IntelPython/dpctl/pull/1865),
[gh-1881](https://github.com/IntelPython/dpctl/pull/1881),
[gh-1882](https://github.com/IntelPython/dpctl/pull/1882),
[gh-1884](https://github.com/IntelPython/dpctl/pull/1884),
[gh-1884](https://github.com/IntelPython/dpctl/pull/1886),
[gh-1888](https://github.com/IntelPython/dpctl/pull/1888),
[gh-1897](https://github.com/IntelPython/dpctl/pull/1897),
[gh-1898](https://github.com/IntelPython/dpctl/pull/1898),
[gh-1909](https://github.com/IntelPython/dpctl/pull/1909),
[gh-1916](https://github.com/IntelPython/dpctl/pull/1916),
[gh-1927](https://github.com/IntelPython/dpctl/pull/1927),
[gh-1940](https://github.com/IntelPython/dpctl/pull/1940),
[gh-1940](https://github.com/IntelPython/dpctl/pull/1948),
[gh-1940](https://github.com/IntelPython/dpctl/pull/1949),
[gh-1952](https://github.com/IntelPython/dpctl/pull/1952),
[gh-1962](https://github.com/IntelPython/dpctl/pull/1962),
[gh-1963](https://github.com/IntelPython/dpctl/pull/1963),
[gh-1973](https://github.com/IntelPython/dpctl/pull/1973),
[gh-1980](https://github.com/IntelPython/dpctl/pull/1980),
[gh-1981](https://github.com/IntelPython/dpctl/pull/1981),
[gh-1983](https://github.com/IntelPython/dpctl/pull/1983),
[gh-1988](https://github.com/IntelPython/dpctl/pull/1988),

## [0.18.3] - Dec. 07, 2024

Expand Down
Loading