Oneapi packages: update URLs, environment management, and dependencies (#22202)
* Replace URL computation in base IntelOneApiPackage class with defining URLs in component packages (this is expected to be simpler for now) * Add component_dir property that all oneAPI component packages must define. This property names a directory that should exist after installation completes (useful for making sure the install was successful) and also defines the search location for the component's environment update script. * Add needed dependencies for components (e.g. intel-oneapi-dnn requires intel-oneapi-tbb). The compilers provided by intel-oneapi-compilers need some components under certain circumstances (e.g. when enabling SYCL support) but these were omitted since the libraries should only be linked when a dependent package requests that feature * Remove individual setup_run_environment implementations and use IntelOneApiPackage superclass method which sources vars.sh (located in a subdirectory of component_dir) * Add documentation for IntelOneApiPackge build system Co-authored-by: Vasily Danilin <vasily.danilin@yandex.ru>
This commit is contained in:
@@ -59,6 +59,7 @@ on these ideas for each distinct build system that Spack supports:
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build_systems/bundlepackage
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build_systems/cudapackage
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build_systems/inteloneapipackage
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build_systems/intelpackage
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build_systems/rocmpackage
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build_systems/custompackage
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137
lib/spack/docs/build_systems/inteloneapipackage.rst
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137
lib/spack/docs/build_systems/inteloneapipackage.rst
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@@ -0,0 +1,137 @@
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.. Copyright 2013-2021 Lawrence Livermore National Security, LLC and other
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Spack Project Developers. See the top-level COPYRIGHT file for details.
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SPDX-License-Identifier: (Apache-2.0 OR MIT)
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.. _inteloneapipackage:
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====================
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IntelOneapiPackage
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====================
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.. contents::
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oneAPI packages in Spack
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========================
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Spack can install and use the Intel oneAPI products. You may either
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use spack to install the oneAPI tools or use the `Intel
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installers`_. After installation, you may use the tools directly, or
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use Spack to build packages with the tools.
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The Spack Python class ``IntelOneapiPackage`` is a base class that is
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used by ``IntelOneapiCompilers``, ``IntelOneapiMkl``,
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``IntelOneapiTbb`` and other classes to implement the oneAPI
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packages. See the :ref:<package-list> for the full list of available
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oneAPI packages or use::
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spack list -d oneAPI
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For more information on a specific package, do::
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spack info <package-name>
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Intel no longer releases new versions of Parallel Studio, which can be
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used in Spack via the :ref:<intelpackage>. All of its components can
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now be found in oneAPI.
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Example
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=======
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We start with a simple example that will be sufficient for most
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users. Install the oneAPI compilers::
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spack install intel-oneapi-compilers
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Add the oneAPI compilers to the set of compilers that Spack can use::
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spack compiler add `spack location -i intel-oneapi-compilers`/compiler/latest/linux/bin/intel64
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spack compiler add `spack location -i intel-oneapi-compilers`/compiler/latest/linux/bin
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This adds the compilers to your ``compilers.yaml``. Verify that the
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compilers are available::
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spack compiler list
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The ``intel-oneapi-compilers`` package includes 2 families of
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compilers:
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* ``intel``: ``icc``, ``icpc``, ``ifort``. Intel's *classic*
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compilers.
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* ``oneapi``: ``icx``, ``icpx``, ``ifx``. Intel's new generation of
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compilers based on LLVM.
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To build the ``patchelf`` Spack package with ``icc``, do::
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spack install patchelf%intel
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To build with with ``icx``, do ::
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spack install patchelf%oneapi
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In addition to compilers, oneAPI contains many libraries. The ``hdf5``
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package works with any compatible MPI implementation. To build
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``hdf5`` with Intel oneAPI MPI do::
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spack install hdf5 +mpi ^intel-oneapi-mpi
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Using an Externally Installed oneAPI
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====================================
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Spack can also use oneAPI tools that are manually installed with
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`Intel Installers`_. The procedures for configuring Spack to use
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external compilers and libraries are different.
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Compilers
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---------
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To use the compilers, add some information about the installation to
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``compilers.yaml``. For most users, it is sufficient to do::
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spack compiler add /opt/intel/oneapi/compiler/latest/linux/bin/intel64
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spack compiler add /opt/intel/oneapi/compiler/latest/linux/bin
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Adapt the paths above if you did not install the tools in the default
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location. After adding the compilers, using them in Spack will be
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exactly the same as if you had installed the
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``intel-oneapi-compilers`` package. Another option is to manually add
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the configuration to ``compilers.yaml`` as described in :ref:`Compiler
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configuration <compiler-config>`.
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Using oneAPI Tools Installed by Spack
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=====================================
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Spack can be a convenient way to install and configure compilers and
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libaries, even if you do not intend to build a Spack package. If you
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want to build a Makefile project using Spack-installed oneAPI compilers,
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then use spack to configure your environment::
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spack load intel-oneapi-compilers
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And then you can build with::
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CXX=icpx make
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You can also use Spack-installed libraries. For example::
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spack load intel-oneapi-mkl
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Will update your environment CPATH, LIBRARY_PATH, and other
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environment variables for building an application with MKL.
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More information
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================
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This section describes basic use of oneAPI, especially if it has
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changed compared to Parallel Studio. See :ref:<intelpackage> for more
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information on :ref:<intel-virtual-packages>,
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:ref:<intel-unrelated-packages>,
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:ref:<intel-integrating-external-libraries>, and
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:ref:<using-mkl-tips>.
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.. _`Intel installers`: https://software.intel.com/content/www/us/en/develop/documentation/installation-guide-for-intel-oneapi-toolkits-linux/top.html
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@@ -137,6 +137,7 @@ If you need to save disk space or installation time, you could install the
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``intel`` compilers-only subset (0.6 GB) and just the library packages you
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need, for example ``intel-mpi`` (0.5 GB) and ``intel-mkl`` (2.5 GB).
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.. _intel-unrelated-packages:
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""""""""""""""""""""
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Unrelated packages
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@@ -358,6 +359,8 @@ affected by an advanced third method:
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Next, visit section `Selecting Intel Compilers`_ to learn how to tell
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Spack to use the newly configured compilers.
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.. _intel-integrating-external-libraries:
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""""""""""""""""""""""""""""""""""
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Integrating external libraries
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""""""""""""""""""""""""""""""""""
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@@ -834,6 +837,7 @@ for example:
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compiler: [ intel@18, intel@17, gcc@4.4.7, gcc@4.9.3, gcc@7.3.0, ]
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.. _intel-virtual-packages:
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""""""""""""""""""""""""""""""""""""""""""""""""
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Selecting libraries to satisfy virtual packages
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@@ -907,6 +911,7 @@ With the proper installation as detailed above, no special steps should be
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required when a client package specifically (and thus deliberately) requests an
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Intel package as dependency, this being one of the target use cases for Spack.
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.. _using-mkl-tips:
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"""""""""""""""""""""""""""""""""""""""""""""""
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Tips for configuring client packages to use MKL
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@@ -7,9 +7,11 @@
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"""
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from os.path import dirname, isdir
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from sys import platform
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from os.path import basename, dirname, isdir, join
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from spack.package import Package
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from spack.util.environment import EnvironmentModifications
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from spack.util.executable import Executable
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from llnl.util.filesystem import find_headers, find_libraries
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@@ -22,46 +24,50 @@ class IntelOneApiPackage(Package):
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phases = ['install']
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def component_info(self,
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dir_name,
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components,
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releases,
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url_name):
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self._dir_name = dir_name
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self._components = components
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self._releases = releases
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self._url_name = url_name
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# oneAPI license does not allow mirroring outside of the
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# organization (e.g. University/Company).
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redistribute_source = False
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def url_for_version(self, version):
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release = self._release(version)
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return 'https://registrationcenter-download.intel.com/akdlm/irc_nas/%s/%s' % (
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release['irc_id'], self._oneapi_file(version, release))
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@property
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def component_dir(self):
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"""Subdirectory for this component in the install prefix."""
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raise NotImplementedError
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def install(self, spec, prefix):
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bash = Executable('bash')
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def install(self, spec, prefix, installer_path=None):
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"""Shared install method for all oneapi packages."""
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# Installer writes files in ~/intel set HOME so it goes to prefix
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bash.add_default_env('HOME', prefix)
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# intel-oneapi-compilers overrides the installer_path when
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# installing fortran, which comes from a spack resource
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if installer_path is None:
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installer_path = basename(self.url_for_version(spec.version))
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version = spec.versions.lowest()
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release = self._release(version)
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bash('./%s' % self._oneapi_file(version, release),
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'-s', '-a', '-s', '--action', 'install',
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'--eula', 'accept',
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'--components',
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self._components,
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'--install-dir', prefix)
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if platform == 'linux':
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bash = Executable('bash')
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#
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# Helper functions
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#
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# Installer writes files in ~/intel set HOME so it goes to prefix
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bash.add_default_env('HOME', prefix)
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def _release(self, version):
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return self._releases[str(version)]
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bash(installer_path,
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'-s', '-a', '-s', '--action', 'install',
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'--eula', 'accept',
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'--install-dir', prefix)
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def _oneapi_file(self, version, release):
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return 'l_%s_p_%s.%s_offline.sh' % (
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self._url_name, version, release['build'])
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# Some installers have a bug and do not return an error code when failing
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if not isdir(join(prefix, self.component_dir)):
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raise RuntimeError('install failed')
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def setup_run_environment(self, env):
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"""Adds environment variables to the generated module file.
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These environment variables come from running:
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.. code-block:: console
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$ source {prefix}/setvars.sh --force
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"""
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env.extend(EnvironmentModifications.from_sourcing_file(
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join(self.prefix, self.component_dir, 'latest/env/vars.sh')))
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class IntelOneApiLibraryPackage(IntelOneApiPackage):
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@@ -70,11 +76,11 @@ class IntelOneApiLibraryPackage(IntelOneApiPackage):
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@property
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def headers(self):
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include_path = '%s/%s/latest/include' % (
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self.prefix, self._dir_name)
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self.prefix, self.component_dir)
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return find_headers('*', include_path, recursive=True)
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@property
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def libs(self):
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lib_path = '%s/%s/latest/lib/intel64' % (self.prefix, self._dir_name)
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lib_path = '%s/%s/latest/lib/intel64' % (self.prefix, self.component_dir)
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lib_path = lib_path if isdir(lib_path) else dirname(lib_path)
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return find_libraries('*', root=lib_path, shared=True, recursive=True)
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