Preparation for 0.14.0rc1 tag (#1711)

* Added #1699, #1690 and #1695

* Stepped dpctl version in all dependencies

.github/workflows/build-sphinx.yml

@@ -107,7 +107,7 @@ jobs:
 
       - name: Install dpnp dependencies
         run: |
-          conda install numpy"<1.24" dpctl">=0.15.1dev3" mkl-devel-dpcpp onedpl-devel tbb-devel dpcpp_linux-64"<2024.0.1" \
+          conda install numpy"<1.24" dpctl">=0.16.0*" mkl-devel-dpcpp onedpl-devel tbb-devel dpcpp_linux-64"<2024.0.1" \
               cmake cython pytest ninja scikit-build sysroot_linux-64">=2.28" ${{ env.CHANNELS }}
 
       - name: Install cuPy dependencies

.github/workflows/generate_coverage.yaml

@@ -50,7 +50,7 @@ jobs:
         run: |
           # use DPC++ compiler 2023.2 to work around an issue with crash
           conda install cython llvm cmake">=3.21" scikit-build ninja pytest pytest-cov coverage[toml] \
-              dpctl">=0.15.1dev3" dpcpp_linux-64"=2023.2" sysroot_linux-64">=2.28" mkl-devel-dpcpp tbb-devel"=2021.10" \
+              dpctl">=0.16.0*" dpcpp_linux-64"=2023.2" sysroot_linux-64">=2.28" mkl-devel-dpcpp tbb-devel"=2021.10" \
               onedpl-devel ${{ env.CHANNELS }}
 
       - name: Conda info

CHANGELOG.md

@@ -6,8 +6,11 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
 
 ## [0.14.0] - MM/DD/2024
 
+This release will require DPC++ `2024.1.0`, which no longer supports Intel Gen9 integrated GPUs found in Intel CPUs of 10th generation and older.
+
 ### Added
 
+* Added implementation of `dpnp.tensordot` function [#1699](https://github.com/IntelPython/dpnp/pull/1699)
 * 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)
@@ -26,6 +29,7 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
 
 ### Changed
 
+* Changed exception type from `ValueError` to `NotImplementedError` for unsupporting keyword arguments in array creation functions [#1695](https://github.com/IntelPython/dpnp/pull/1695)
 * 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)
@@ -40,7 +44,7 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
 * 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.meshgrid` 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)

conda-recipe/meta.yaml

@@ -1,7 +1,7 @@
 {% set required_compiler_and_mkl_version = "2024.0" %}
 {% set excluded_compiler_version1 = "2024.0.1" %}
 {% set excluded_compiler_version2 = "2024.0.2" %}
-{% set required_dpctl_version = "0.15.1dev3" %}
+{% set required_dpctl_version = "0.16.0*" %}
 
 package:
     name: dpnp