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Add example for RNG (#215)
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.github/workflows/license.yml

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name: license
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on:
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push:
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branches: [main]
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pull_request:
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branches: [main]
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jobs:
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license:
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runs-on: ubuntu-latest
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steps:
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- uses: actions/checkout@v2
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- uses: actions/setup-go@v2
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- name: Install addlicense
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run: |
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export PATH=${PATH}:`go env GOPATH`/bin
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go get -v -u github.com/google/addlicense
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- name: Check license
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run: |
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export PATH=${PATH}:`go env GOPATH`/bin
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addlicense -check -l apache -c "Intel Corporation" numba_dppy/**/*.py numba_dppy/*.py setup.py

LICENSE

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README.md

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* numba >=0.51 (IntelPython/numba)
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* dpCtl >=0.5.1
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* dpNP 0.4.* (optional)
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* dpNP 0.5.0 (optional)
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* llvm-spirv (SPIRV generation from LLVM IR)
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* llvmdev (LLVM IR generation)
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* spirv-tools

conda-recipe/bld.bat

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%PYTHON% setup.py install --single-version-externally-managed --record=record.txt
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if errorlevel 1 exit 1
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echo "Activating oneAPI compiler environment..."
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call "%ONEAPI_ROOT%\compiler\latest\env\vars.bat"
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if errorlevel 1 exit 1
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REM conda uses %ERRORLEVEL% but FPGA scripts can set it. So it should be reseted.
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set ERRORLEVEL=
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echo on
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set "CC=clang.exe"
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%CC% -flto -target spir64-unknown-unknown -c -x cl -emit-llvm -cl-std=CL2.0 -Xclang -finclude-default-header numba_dppy/ocl/atomics/atomic_ops.cl -o numba_dppy/ocl/atomics/atomic_ops.bc
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llvm-spirv -o numba_dppy/ocl/atomics/atomic_ops.spir numba_dppy/ocl/atomics/atomic_ops.bc
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xcopy numba_dppy\ocl\atomics\atomic_ops.spir %SP_DIR%\numba_dppy\ocl\atomics /E /Y
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%PYTHON% setup.py install --single-version-externally-managed --record=record.txt

conda-recipe/build.sh

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#!/bin/bash
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${PYTHON} setup.py install --single-version-externally-managed --record=record.txt
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if [ ! -z "${ONEAPI_ROOT}" ]; then
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source ${ONEAPI_ROOT}/compiler/latest/env/vars.sh
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export CC=clang
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else
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echo "DPCPP is needed to build OpenCL kernel. Abort!"
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fi
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${CC} -flto -target spir64-unknown-unknown -c -x cl -emit-llvm -cl-std=CL2.0 -Xclang -finclude-default-header numba_dppy/ocl/atomics/atomic_ops.cl -o numba_dppy/ocl/atomics/atomic_ops.bc
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llvm-spirv -o numba_dppy/ocl/atomics/atomic_ops.spir numba_dppy/ocl/atomics/atomic_ops.bc
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cp numba_dppy/ocl/atomics/atomic_ops.spir ${SP_DIR}/numba_dppy/ocl/atomics/
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${PYTHON} setup.py install --single-version-externally-managed --record=record.txt

conda-recipe/meta.yaml

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number: {{ GIT_DESCRIBE_NUMBER }}
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script_env:
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- ONEAPI_ROOT
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- WHEELS_OUTPUT_FOLDER
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requirements:
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build:
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- cython
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- numba
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- dpctl >=0.5.1rc1
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- dpnp 0.4.* # [linux]
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- dpnp 0.5.0 # [linux]
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- wheel
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run:
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- python
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- numba >=0.51
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- dpctl >=0.5.1rc1
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- spirv-tools
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- llvm-spirv
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- llvmdev
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- dpnp 0.4.* # [linux]
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- dpnp 0.5.0 # [linux]
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test:
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requires:

docs/CONTRIBUTING.md

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- Revision: `20.8b1` or branch `stable`.
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- See configuration in `pyproject.toml`.
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Run before each commit: `black .`
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Install:
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```bash
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python -m pip install black
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```
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Run before each commit:
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```bash
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black .
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```
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### License
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We use [addlicense](https://github.com/google/addlicense) license checker.
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Install:
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```bash
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conda install go
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export PATH=${PATH}:`go env GOPATH`/bin
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go get -u github.com/google/addlicense
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```
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Run before each commit:
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```bash
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export PATH=${PATH}:`go env GOPATH`/bin
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addlicense -l apache -c "Intel Corporation" numba_dppy/**/*.py numba_dppy/*.py setup.py
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```
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## Documentation
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docs/dppy/random.rst

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11
Random Number Generation
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========================
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DPPY does not provides a random number generation algorithm that can be executed
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DPPY does not provide a random number generation algorithm that can be executed
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on the GPU.
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DPPY provides access to NumPy random algorithms that can be executed on the GPU
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- `standard_normal <https://numpy.org/doc/1.16/reference/generated/numpy.random.standard_normal.html#numpy.random.standard_normal>`_
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- `uniform <https://numpy.org/doc/1.16/reference/generated/numpy.random.uniform.html#numpy.random.uniform>`_
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- `weibull <https://numpy.org/doc/1.16/reference/generated/numpy.random.weibull.html#numpy.random.weibull>`_
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Example:
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.. note::
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To ensure the code is executed on GPU set `DEBUG=1` (or `NUMBA_DPPY_DEBUG=1`) and look to stdout
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.. literalinclude:: ../../numba_dppy/examples/rand.py

numba_dppy/__init__.py

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# Copyright 2021 Intel Corporation
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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"""
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Module to interact with Intel based devices

numba_dppy/_version.py

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# Copyright 2021 Intel Corporation
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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# This file helps to compute a version number in source trees obtained from
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# git-archive tarball (such as those provided by githubs download-from-tag
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# feature). Distribution tarballs (built by setup.py sdist) and build

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