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#2716 add RANDOM_NUMBER to intrinsics available on device #3865

#2716 add RANDOM_NUMBER to intrinsics available on device

#2716 add RANDOM_NUMBER to intrinsics available on device #3865

Workflow file for this run

# -----------------------------------------------------------------------------
# BSD 3-Clause License
#
# Copyright (c) 2020-2024, Science and Technology Facilities Council.
# All rights reserved.
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# modification, are permitted provided that the following conditions are met:
#
# * Redistributions of source code must retain the above copyright notice, this
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# * Redistributions in binary form must reproduce the above copyright notice,
# this list of conditions and the following disclaimer in the documentation
# and/or other materials provided with the distribution.
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# * Neither the name of the copyright holder nor the names of its
# contributors may be used to endorse or promote products derived from
# this software without specific prior written permission.
#
# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
# "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
# LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS
# FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE
# COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT,
# INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING,
# BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
# LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
# CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT
# LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN
# ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
# POSSIBILITY OF SUCH DAMAGE.
# -----------------------------------------------------------------------------
# Author A. R. Porter, STFC Daresbury Lab
# Modified by R. W. Ford, STFC Daresbury Lab
# Modified by A. J. Voysey, Met Office
# Modified by J. Henrichs, Bureau of Meteorology
# Modified by N. Nobre, STFC Daresbury Lab
# This workflow will use a self-hosted runner to perform the more expensive
# compilation tests that are not run on GHA systems. At the moment it:
#
# * Runs the test suite with compilation with gfortran and nvfortran;
# * Builds the examples with gfortran and nvfortran (the latter with
# OpenACC enabled).
# * Builds the tutorials with gfortran and nvfortran.
name: Compilation tests
on:
push
env:
CUDA_VERSION: 12.6.2
GFORTRAN_VERSION: 14.2.0
HDF5_VERSION: 1.14.5
NETCDF_C_VERSION: 4.9.2
NETCDF_FORTRAN_VERSION: 4.6.1
NVFORTRAN_VERSION: 24.9
OPENMPI_VERSION: 5.0.5
PYTHON_VERSION: 3.13.0
jobs:
run_if_on_mirror:
# Only PSyclone-mirror has the necessary self-hosted runner.
if: ${{ github.repository == 'stfc/PSyclone-mirror' }}
runs-on: self-hosted
steps:
- uses: actions/checkout@v3
with:
submodules: recursive
# This is required to get the commit history for merge commits for
# the ci-skip check below.
fetch-depth: '0'
- name: Check for [skip ci] in commit message
uses: mstachniuk/ci-skip@v1
with:
# This setting causes the tests to 'fail' if [skip ci] is specified
fail-fast: true
commit-filter: '[skip ci]'
- name: Install dependencies
run: |
module load python/${PYTHON_VERSION}
python -m venv .runner_venv
. .runner_venv/bin/activate
python -m pip install --upgrade pip
# Uncomment the below to use the submodule version of fparser rather
# than the latest release from pypi.
# pip install external/fparser
pip install .[test,psydata]
- name: Unit tests with compilation - gfortran
run: |
. .runner_venv/bin/activate
module load gcc/${GFORTRAN_VERSION} openmpi/${OPENMPI_VERSION}
module load hdf5/${HDF5_VERSION} netcdf_c/${NETCDF_C_VERSION} netcdf_fortran/${NETCDF_FORTRAN_VERSION}
pytest -n 4 --f90=gfortran --f90flags="-ffree-line-length-none" --compile --compileopencl src/psyclone/tests
- name: Unit tests with compilation - nvfortran
run: |
. .runner_venv/bin/activate
module load nvidia-hpcsdk/${NVFORTRAN_VERSION}
module load hdf5/${HDF5_VERSION} netcdf_c/${NETCDF_C_VERSION} netcdf_fortran/${NETCDF_FORTRAN_VERSION}
pytest -n 4 --f90=nvfortran --compile --compileopencl src/psyclone/tests
- name: Examples with compilation - gfortran
run: |
. .runner_venv/bin/activate
make -C examples allclean
# Although we're using gfortran, we link with CUDA's OpenCL library
module load gcc/${GFORTRAN_VERSION} openmpi/${OPENMPI_VERSION}
module load hdf5/${HDF5_VERSION} netcdf_c/${NETCDF_C_VERSION} netcdf_fortran/${NETCDF_FORTRAN_VERSION}
module load cuda/${CUDA_VERSION}
F90=gfortran make -C examples compile
- name: Tutorials with compilation - gfortran
run: |
. .runner_venv/bin/activate
make -C tutorial/practicals allclean
module load gcc/${GFORTRAN_VERSION} openmpi/${OPENMPI_VERSION}
module load hdf5/${HDF5_VERSION} netcdf_c/${NETCDF_C_VERSION} netcdf_fortran/${NETCDF_FORTRAN_VERSION}
make -C tutorial/practicals compile
- name: Examples with compilation - nvfortran
run: |
. .runner_venv/bin/activate
make -C examples allclean
module load nvidia-hpcsdk/${NVFORTRAN_VERSION}
module load hdf5/${HDF5_VERSION} netcdf_c/${NETCDF_C_VERSION} netcdf_fortran/${NETCDF_FORTRAN_VERSION}
F90=nvfortran F90FLAGS="-acc -Minfo=all" make -C examples compile
- name: Tutorials with compilation - nvfortran
run: |
. .runner_venv/bin/activate
make -C tutorial/practicals allclean
module load nvidia-hpcsdk/${NVFORTRAN_VERSION}
module load hdf5/${HDF5_VERSION} netcdf_c/${NETCDF_C_VERSION} netcdf_fortran/${NETCDF_FORTRAN_VERSION}
F90=nvfortran F90FLAGS="-acc -Minfo=all" make -C tutorial/practicals/LFRic compile
F90=nvfortran F90FLAGS="-acc -Minfo=all -Mnofma -O2" make -C tutorial/practicals/generic run
make -C tutorial/practicals/generic/4_openacc acc_test