Merge 0.14.0rc1 from master to gold

.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/conda-package.yml

@@ -117,10 +117,10 @@ jobs:
             ${{ runner.os }}-conda-${{ env.CACHE_NUMBER }}-
 
       - name: Build conda package
-        run: conda build --no-test --python ${{ matrix.python }} ${{ env.CHANNELS }} conda-recipe
+        run: conda build --no-test --python ${{ matrix.python }} --numpy 1.23 ${{ env.CHANNELS }} conda-recipe
 
       - name: Upload artifact
-        uses: actions/upload-artifact@26f96dfa697d77e81fd5907df203aa23a56210a8 # v4.3.0
+        uses: actions/upload-artifact@5d5d22a31266ced268874388b861e4b58bb5c2f3 # v4.3.1
         with:
           name: ${{ env.PACKAGE_NAME }} ${{ runner.os }} Python ${{ matrix.python }}
           path: ${{ env.CONDA_BLD }}${{ env.PACKAGE_NAME }}-*.tar.bz2
@@ -153,7 +153,7 @@ jobs:
 
     steps:
       - name: Download artifact
-        uses: actions/download-artifact@6b208ae046db98c579e8a3aa621ab581ff575935 # v4.1.1
+        uses: actions/download-artifact@eaceaf801fd36c7dee90939fad912460b18a1ffe # v4.1.2
         with:
           name: ${{ env.PACKAGE_NAME }} ${{ runner.os }} Python ${{ matrix.python }}
           path: ${{ env.pkg-path-in-channel }}
@@ -254,7 +254,7 @@ jobs:
 
     steps:
       - name: Download artifact
-        uses: actions/download-artifact@6b208ae046db98c579e8a3aa621ab581ff575935 # v4.1.1
+        uses: actions/download-artifact@eaceaf801fd36c7dee90939fad912460b18a1ffe # v4.1.2
         with:
           name: ${{ env.PACKAGE_NAME }} ${{ runner.os }} Python ${{ matrix.python }}
           path: ${{ env.pkg-path-in-channel }}
@@ -388,7 +388,7 @@ jobs:
 
     steps:
       - name: Download artifact
-        uses: actions/download-artifact@6b208ae046db98c579e8a3aa621ab581ff575935 # v4.1.1
+        uses: actions/download-artifact@eaceaf801fd36c7dee90939fad912460b18a1ffe # v4.1.2
         with:
           name: ${{ env.PACKAGE_NAME }} ${{ runner.os }} Python ${{ matrix.python }}
 

.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

.github/workflows/openssf-scorecard.yml

@@ -60,7 +60,7 @@ jobs:
       # Upload the results as artifacts (optional). Commenting out will disable uploads of run results in SARIF
       # format to the repository Actions tab.
       - name: "Upload artifact"
-        uses: actions/upload-artifact@26f96dfa697d77e81fd5907df203aa23a56210a8 # v4.3.0
+        uses: actions/upload-artifact@5d5d22a31266ced268874388b861e4b58bb5c2f3 # v4.3.1
         with:
           name: SARIF file
           path: results.sarif

.github/workflows/pre-commit.yml

@@ -22,4 +22,4 @@ jobs:
       - uses: actions/setup-python@0a5c61591373683505ea898e09a3ea4f39ef2b9c # v5.0.0
         with:
           python-version: '3.11'
-      - uses: pre-commit/action@646c83fcd040023954eafda54b4db0192ce70507 # v3.0.0
+      - uses: pre-commit/action@2c7b3805fd2a0fd8c1884dcaebf91fc102a13ecd # v3.0.1

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/conda_build_config.yaml

@@ -0,0 +1,2 @@
+numpy:
+    - 1.23

conda-recipe/meta.yaml

@@ -1,5 +1,5 @@
 {% set required_compiler_and_mkl_version = "2024.1" %}
-{% set required_dpctl_version = "0.15.1dev3" %}
+{% set required_dpctl_version = "0.16.0*" %}
 
 package:
     name: dpnp