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Merge branch 'master' into exception_on_numpy_fallback
2 parents aa3e191 + ebe4f2a commit bdeaf12

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‎.github/workflows/build-sphinx.yml‎

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@@ -71,8 +71,8 @@ jobs:
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- name: Install dpnp dependencies
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run: |
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conda install dpctl mkl-devel-dpcpp tbb-devel dpcpp_linux-64 cmake cython pytest \
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-c dppy/label/dev -c intel -c conda-forge
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conda install dpctl mkl-devel-dpcpp onedpl-devel tbb-devel dpcpp_linux-64 \
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cmake cython pytest -c dppy/label/dev -c intel -c conda-forge
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- name: Install cuPy dependencies
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run: conda install -c conda-forge cupy cudatoolkit=10.0
@@ -84,7 +84,7 @@ jobs:
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- name: Build library
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run: |
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DPLROOT=/opt/intel/oneapi/dpl/latest python setup.py build_clib
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python setup.py build_clib
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CC=dpcpp python setup.py build_ext --inplace
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python setup.py develop
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‎.github/workflows/conda-package.yml‎

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with:
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fetch-depth: 0
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- name: Checkout oneDPL
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uses: actions/checkout@v3.1.0
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with:
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repository: oneapi-src/oneDPL
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path: oneDPL
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ref: oneDPL-2021.7.0-release
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- name: Setup miniconda
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uses: conda-incubator/setup-miniconda@v2.1.1
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with:
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- name: Build conda package
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run: conda build --no-test --python ${{ matrix.python }} ${{ env.CHANNELS }} conda-recipe
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env:
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DPLROOT: '${{ github.workspace }}/oneDPL'
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- name: Upload artifact
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uses: actions/upload-artifact@v3.1.0
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with:
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fetch-depth: 0
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- name: Checkout oneDPL
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uses: actions/checkout@v3.1.0
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with:
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repository: oneapi-src/oneDPL
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path: oneDPL
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ref: oneDPL-2021.7.0-release
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- name: Setup miniconda
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uses: conda-incubator/setup-miniconda@v2.1.1
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with:
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- name: Build conda package
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run: conda build --no-test --python ${{ matrix.python }} ${{ env.CHANNELS }} conda-recipe
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env:
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DPLROOT: '%GITHUB_WORKSPACE%\oneDPL'
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- name: Upload artifact
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uses: actions/upload-artifact@v3.1.0
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strategy:
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matrix:
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python: ['3.8', '3.9']
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dpctl: ['0.13.0']
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experimental: [false]
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continue-on-error: ${{ matrix.experimental }}
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${{ runner.os }}-conda-${{ env.CACHE_NUMBER }}-
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- name: Install dpnp
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run: conda install ${{ env.PACKAGE_NAME }}=${{ env.PACKAGE_VERSION }} dpctl=${{ matrix.dpctl }} pytest python=${{ matrix.python }} ${{ env.TEST_CHANNELS }}
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run: conda install ${{ env.PACKAGE_NAME }}=${{ env.PACKAGE_VERSION }} pytest python=${{ matrix.python }} ${{ env.TEST_CHANNELS }}
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env:
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TEST_CHANNELS: '-c ${{ env.channel-path }} ${{ env.CHANNELS }}'
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@@ -248,12 +229,15 @@ jobs:
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- name: Smoke test
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run: python -c "import dpnp, dpctl; dpctl.lsplatform()"
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env:
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OCL_ICD_FILENAMES: 'libintelocl.so'
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# TODO: run the whole scope once the issues on CPU are resolved
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- name: Run tests
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run: python -m pytest -q -ra --disable-warnings -vv test_arraycreation.py test_dparray.py test_mathematical.py test_special.py
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run: |
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python -m pytest -q -ra --disable-warnings -vv test_arraycreation.py test_dparray.py test_fft.py test_linalg.py test_mathematical.py test_random_state.py test_special.py
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env:
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SYCL_ENABLE_HOST_DEVICE: '1'
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OCL_ICD_FILENAMES: 'libintelocl.so'
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working-directory: ${{ env.tests-path }}
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test_windows:
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strategy:
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matrix:
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python: ['3.8', '3.9']
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dpctl: ['0.13.0']
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experimental: [false]
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continue-on-error: ${{ matrix.experimental }}
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echo PACKAGE_VERSION: %PACKAGE_VERSION%
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(echo PACKAGE_VERSION=%PACKAGE_VERSION%) >> %GITHUB_ENV%
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conda install ${{ env.PACKAGE_NAME }}=%PACKAGE_VERSION% dpctl=${{ matrix.dpctl }} python=${{ matrix.python }} ${{ env.TEST_CHANNELS }} --only-deps --dry-run > lockfile
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conda install ${{ env.PACKAGE_NAME }}=%PACKAGE_VERSION% python=${{ matrix.python }} ${{ env.TEST_CHANNELS }} --only-deps --dry-run > lockfile
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env:
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TEST_CHANNELS: '-c ${{ env.channel-path }} ${{ env.CHANNELS }}'
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- name: Install dpnp
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run: |
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@echo on
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conda install ${{ env.PACKAGE_NAME }}=${{ env.PACKAGE_VERSION }} dpctl=${{ matrix.dpctl }} pytest python=${{ matrix.python }} ${{ env.TEST_CHANNELS }}
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conda install ${{ env.PACKAGE_NAME }}=${{ env.PACKAGE_VERSION }} pytest python=${{ matrix.python }} ${{ env.TEST_CHANNELS }}
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env:
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TEST_CHANNELS: '-c ${{ env.channel-path }} ${{ env.CHANNELS }}'
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# TODO: run the whole scope once the issues on CPU are resolved
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- name: Run tests
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run: python -m pytest -q -ra --disable-warnings -vv test_arraycreation.py test_dparray.py test_mathematical.py test_special.py
412+
run: |
413+
python -m pytest -q -ra --disable-warnings -vv test_arraycreation.py test_dparray.py test_fft.py test_linalg.py test_mathematical.py test_random_state.py test_special.py
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working-directory: ${{ env.tests-path }}
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upload_linux:

‎0.build.sh‎

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@@ -7,7 +7,7 @@ cd ${THEDIR}
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export DPNP_DEBUG=1
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python setup.py clean
10-
DPLROOT=/opt/intel/oneapi/dpl/latest python setup.py build_clib
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python setup.py build_clib
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# inplace build
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CC=dpcpp python setup.py build_ext --inplace

‎conda-recipe/meta.yaml‎

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host:
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- python
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- setuptools
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- numpy >=1.19,<1.22a0
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- numpy >=1.19,<1.23a0
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- cython
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- cmake >=3.19
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- dpctl >=0.13
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- mkl-devel-dpcpp {{ environ.get('MKL_VER', '>=2021.1.1') }}
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- onedpl-devel
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- tbb-devel
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- wheel
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build:

‎doc/conf.py‎

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# The short X.Y version
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version = '0.10'
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# The full version, including alpha/beta/rc tags
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release = '0.10.2'
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release = '0.10.3'
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# -- General configuration ---------------------------------------------------

‎dpnp/__init__.py‎

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from dpnp.dpnp_array import dpnp_array as ndarray
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from dpnp.dpnp_flatiter import flatiter as flatiter
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48+
from dpnp.dpnp_iface_types import *
4849
from dpnp.dpnp_iface import *
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from dpnp.dpnp_iface import __all__ as _iface__all__
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from dpnp.dpnp_iface_types import *
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from dpnp.version import __version__
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‎dpnp/backend/CMakeLists.txt‎

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cmake_minimum_required(VERSION 3.10 FATAL_ERROR)
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# set(DPNP_VERSION 0.10.2)
30+
# set(DPNP_VERSION 0.10.3)
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# set(DPNP_API_VERSION 0.10)
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# set directory where the custom finders live
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src/memory_sycl.cpp
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src/queue_sycl.cpp
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src/verbose.cpp
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src/dpnp_random_state.cpp
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)
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if(DPNP_STATIC_LIB_ENABLE)

‎dpnp/backend/doc/Doxyfile‎

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@@ -38,7 +38,7 @@ PROJECT_NAME = "DPNP C++ backend kernel library"
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# could be handy for archiving the generated documentation or if some version
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# control system is used.
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PROJECT_NUMBER = 0.10.2
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PROJECT_NUMBER = 0.10.3
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# Using the PROJECT_BRIEF tag one can provide an optional one line description
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# for a project that appears at the top of each page and should give viewer a

‎dpnp/backend/include/dpnp_iface_fptr.hpp‎

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//*****************************************************************************
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// Copyright (c) 2016-2020, Intel Corporation
2+
// Copyright (c) 2016-2022, Intel Corporation
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// All rights reserved.
44
//
55
// Redistribution and use in source and binary forms, with or without
@@ -69,7 +69,6 @@ enum class DPNPFuncName : size_t
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DPNP_FN_ANY, /**< Used in numpy.any() impl */
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DPNP_FN_ANY_EXT, /**< Used in numpy.any() impl, requires extra parameters */
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DPNP_FN_ARANGE, /**< Used in numpy.arange() impl */
72-
DPNP_FN_ARANGE_EXT, /**< Used in numpy.arange() impl, requires extra parameters */
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DPNP_FN_ARCCOS, /**< Used in numpy.arccos() impl */
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DPNP_FN_ARCCOS_EXT, /**< Used in numpy.arccos() impl, requires extra parameters */
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DPNP_FN_ARCCOSH, /**< Used in numpy.arccosh() impl */
@@ -315,7 +314,6 @@ enum class DPNPFuncName : size_t
315314
DPNP_FN_RNG_STANDARD_GAMMA, /**< Used in numpy.random.standard_gamma() impl */
316315
DPNP_FN_RNG_STANDARD_GAMMA_EXT, /**< Used in numpy.random.standard_gamma() impl, requires extra parameters */
317316
DPNP_FN_RNG_STANDARD_NORMAL, /**< Used in numpy.random.standard_normal() impl */
318-
DPNP_FN_RNG_STANDARD_NORMAL_EXT, /**< Used in numpy.random.standard_normal() impl */
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DPNP_FN_RNG_STANDARD_T, /**< Used in numpy.random.standard_t() impl */
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DPNP_FN_RNG_STANDARD_T_EXT, /**< Used in numpy.random.standard_t() impl, requires extra parameters */
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DPNP_FN_RNG_TRIANGULAR, /**< Used in numpy.random.triangular() impl */

‎dpnp/backend/include/dpnp_iface_random.hpp‎

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//*****************************************************************************
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// Copyright (c) 2016-2020, Intel Corporation
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// Copyright (c) 2016-2022, Intel Corporation
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// All rights reserved.
44
//
55
// Redistribution and use in source and binary forms, with or without
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438438
* @brief math library implementation of random number generator (normal continious distribution)
439439
*
440440
* @param [in] q_ref Reference to SYCL queue.
441-
* @param [out] result Output array.
441+
* @param [out] result_out Output array.
442442
* @param [in] mean Mean value.
443443
* @param [in] stddev Standard deviation.
444444
* @param [in] size Number of elements in `result` arrays.
445+
* @param [in] random_state_in Pointer on random state.
445446
* @param [in] dep_event_vec_ref Reference to vector of SYCL events.
446447
*/
447448
template <typename _DataType>
448449
INP_DLLEXPORT DPCTLSyclEventRef dpnp_rng_normal_c(DPCTLSyclQueueRef q_ref,
449-
void* result,
450-
const _DataType mean,
451-
const _DataType stddev,
452-
const size_t size,
450+
void* result_out,
451+
const double mean,
452+
const double stddev,
453+
const int64_t size,
454+
void* random_state_in,
453455
const DPCTLEventVectorRef dep_event_vec_ref);
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455457
template <typename _DataType>
@@ -629,17 +631,11 @@ INP_DLLEXPORT void dpnp_rng_standard_gamma_c(void* result, const _DataType shape
629631
* @brief math library implementation of random number generator (standard normal distribution)
630632
*
631633
* @param [in] q_ref Reference to SYCL queue.
632-
* @param [out] result Output array.
634+
* @param [out] result_out Output array.
633635
* @param [in] size Number of elements in `result` arrays.
634636
* @param [in] dep_event_vec_ref Reference to vector of SYCL events.
635637
*/
636638
template <typename _DataType>
637-
INP_DLLEXPORT DPCTLSyclEventRef dpnp_rng_standard_normal_c(DPCTLSyclQueueRef q_ref,
638-
void* result,
639-
const size_t size,
640-
const DPCTLEventVectorRef dep_event_vec_ref);
641-
642-
template <typename _DataType>
643639
INP_DLLEXPORT void dpnp_rng_standard_normal_c(void* result, const size_t size);
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645641
/**
@@ -692,18 +688,20 @@ INP_DLLEXPORT void dpnp_rng_triangular_c(
692688
* @brief math library implementation of random number generator (uniform distribution)
693689
*
694690
* @param [in] q_ref Reference to SYCL queue.
695-
* @param [out] result Output array.
691+
* @param [out] result_out Output array.
696692
* @param [in] low Left bound of array values.
697693
* @param [in] high Right bound of array values.
698694
* @param [in] size Number of elements in `result` array.
695+
* @param [in] random_state_in Pointer on random state.
699696
* @param [in] dep_event_vec_ref Reference to vector of SYCL events.
700697
*/
701698
template <typename _DataType>
702699
INP_DLLEXPORT DPCTLSyclEventRef dpnp_rng_uniform_c(DPCTLSyclQueueRef q_ref,
703-
void* result,
704-
const long low,
705-
const long high,
706-
const size_t size,
700+
void* result_out,
701+
const double low,
702+
const double high,
703+
const int64_t size,
704+
void* random_state_in,
707705
const DPCTLEventVectorRef dep_event_vec_ref);
708706

709707
template <typename _DataType>

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