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A flexible package manager that supports multiple versions, configurations, platforms, and compilers.
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Dominik Dold c3eafde7bf Add new TensorFlow package (#13112) 
* add tensorflow

Change-Id: Id778c68d148cc42f0b478a9d10a8f937cb54cdc6

* make bazel and tensorflow build

Change-Id: Iae9005e8f4dcc8f1ed36ea9337d2430aeebb291f

* fix flake8

Change-Id: Ib05529dd796eab4a8855a5d7775cc4efea8e479d

* 2nd flake8 attempt

Change-Id: I46224be3a374b2a65793048b0c5178ea64adbd78

* replace md5 sums with sha256

* add version 1.13.2

* bazel() -> bazel('build',...

* specify versions of bazel dependency

* build with CUDA

* add TODOs

* add more todo"s

* improve enum34 dependency

* py-future is a dependency as of v1.14

* Update var/spack/repos/builtin/packages/tensorflow/package.py

Co-Authored-By: Adam J. Stewart <ajstewart426@gmail.com>

* Update var/spack/repos/builtin/packages/tensorflow/package.py

Co-Authored-By: Adam J. Stewart <ajstewart426@gmail.com>

* Update var/spack/repos/builtin/packages/tensorflow/package.py

Co-Authored-By: Adam J. Stewart <ajstewart426@gmail.com>

* Update var/spack/repos/builtin/packages/tensorflow/package.py

Co-Authored-By: Adam J. Stewart <ajstewart426@gmail.com>

* enable nccl, cuda by default

* explain patches

* add todo

* remove unnecessary copt_flag

* use join

* join argument must be an iterable

* split long line; use same opts for non-cuda build

* without opt flags, configure hangs

* introduce build phases; re-arrange

* undo mistake

* restore unset tmp_path

* as of v1.14, nccl_install_path is parsed correctly, hence change ...prefix.lib to ...prefix

* now, version 1.14 compiles successfully with cuda

* add version 2.1.0

* specify bazel dependency for version 2.1.0-rc0

* account for deprecated bazel opts for v2.1.0-rc0

* disable mkldnn contraction kernel

* Flake8 fixes

* md5 -> sha256

* Fix TF and TF-estimator version deps

* Don't just comment out patch

* Add myself as a maintainer

* Patch py-astor to support newer py-setuptools

* Add more versions and bazel version constraints

* Add a build phase

* Add note about configure interactivity

* dev-build -> build-env

* Disable iOS build

* Use correct optimization flags

* Add variants for all possible features

* nccl isn't always a dependency

* Specify correct dependency versions for each release

* Libs may not be in lib or lib64

* Add py-opt-einsum package

* Add newer version of py-protobuf

* Add newer version of py-wrapt

* Fix Python 2.6 syntax error

* Code review

* Set more env vars for older versions

* Add more env vars, fix bazel versions, add conflicts

* Fix config options

* Specify version that support --config args

* Add py-future dependency for Python 2

* Fix cuda config flag and compute capabilities

* Fix installation on macOS, add unit tests

* Override cuda variant default to True on non-macOS

* Rename tensorflow to py-tensorflow

* Has to extend something

* Fix os.symlink call

* convert cuda_arc values to capabilities

* restore nccl prefix path for v1.13.1

* Revert to v2

* Remove extraneous period

* Add new version of jdk/openjdk

* More stable cuda_arch formatting

* Fix bazel unit tests

* Fix symlinking

* Fix unit tests

* +gcp by default until build error figured out
2019-12-05 18:48:20 -06:00
.github
bin
etc/spack/defaults Config option to allow gpg warning suppression (#13744) 2019-11-14 16:22:19 -08:00
lib/spack cdash: fix reporting issue with python 3 2019-12-05 11:37:03 -07:00
share/spack Package Index: Build in Dockerhub (#13810) 2019-11-26 10:11:29 -07:00
var/spack Add new TensorFlow package (#13112) 2019-12-05 18:48:20 -06:00
.codecov.yml
.coveragerc
.dockerignore
.flake8
.flake8_packages
.gitattributes git: add .gitattributes file (#13947) 2019-12-02 01:35:38 -08:00
.gitignore
.gitlab-ci.yml
.mailmap
.readthedocs.yml
.travis.yml Package Index: Build in Dockerhub (#13810) 2019-11-26 10:11:29 -07:00
CHANGELOG.md update CHANGELOG.md for 0.13.2 2019-12-04 22:02:41 -08:00
COPYRIGHT
LICENSE-APACHE
LICENSE-MIT
NOTICE
README.md

README.md

Spack Spack

Build Status codecov Read the Docs Slack

Spack is a multi-platform package manager that builds and installs multiple versions and configurations of software. It works on Linux, macOS, and many supercomputers. Spack is non-destructive: installing a new version of a package does not break existing installations, so many configurations of the same package can coexist.

Spack offers a simple "spec" syntax that allows users to specify versions and configuration options. Package files are written in pure Python, and specs allow package authors to write a single script for many different builds of the same package. With Spack, you can build your software all the ways you want to.

See the Feature Overview for examples and highlights.

To install spack and your first package, make sure you have Python. Then:

$ git clone https://github.com/spack/spack.git
$ cd spack/bin
$ ./spack install zlib

Documentation

Full documentation is available, or run spack help or spack help --all.

Tutorial

We maintain a hands-on tutorial. It covers basic to advanced usage, packaging, developer features, and large HPC deployments. You can do all of the exercises on your own laptop using a Docker container.

Feel free to use these materials to teach users at your organization about Spack.

Community

Spack is an open source project. Questions, discussion, and contributions are welcome. Contributions can be anything from new packages to bugfixes, documentation, or even new core features.

Resources:

Contributing

Contributing to Spack is relatively easy. Just send us a pull request. When you send your request, make develop the destination branch on the Spack repository.

Your PR must pass Spack's unit tests and documentation tests, and must be PEP 8 compliant. We enforce these guidelines with Travis CI. To run these tests locally, and for helpful tips on git, see our Contribution Guide.

Spack uses a rough approximation of the Git Flow branching model. The develop branch contains the latest contributions, and master is always tagged and points to the latest stable release.

Code of Conduct

Please note that Spack has a Code of Conduct. By participating in the Spack community, you agree to abide by its rules.

Authors

Many thanks go to Spack's contributors.

Spack was created by Todd Gamblin, tgamblin@llnl.gov.

Citing Spack

If you are referencing Spack in a publication, please cite the following paper:

License

Spack is distributed under the terms of both the MIT license and the Apache License (Version 2.0). Users may choose either license, at their option.

All new contributions must be made under both the MIT and Apache-2.0 licenses.

See LICENSE-MIT, LICENSE-APACHE, COPYRIGHT, and NOTICE for details.

SPDX-License-Identifier: (Apache-2.0 OR MIT)

LLNL-CODE-647188