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Klaus Noelp
ebrains-spack-builds
Commits
f04a5f3b
Commit
f04a5f3b
authored
2 years ago
by
Eric Müller
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Add py-jax{,lib} from spack upstream (0.19.0)
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packages/py-jax/package.py
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packages/py-jax/package.py
packages/py-jaxlib/package.py
+77
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77 additions, 0 deletions
packages/py-jaxlib/package.py
with
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packages/py-jax/package.py
0 → 100644
+
50
−
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f04a5f3b
# Copyright 2013-2021 Lawrence Livermore National Security, LLC and other
# Spack Project Developers. See the top-level COPYRIGHT file for details.
#
# SPDX-License-Identifier: (Apache-2.0 OR MIT)
from
spack.package
import
*
class
PyJax
(
PythonPackage
,
CudaPackage
):
"""
JAX is Autograd and XLA, brought together for high-performance
machine learning research. With its updated version of Autograd,
JAX can automatically differentiate native Python and NumPy
functions. It can differentiate through loops, branches,
recursion, and closures, and it can take derivatives of
derivatives of derivatives. It supports reverse-mode
differentiation (a.k.a. backpropagation) via grad as well as
forward-mode differentiation, and the two can be composed
arbitrarily to any order.
"""
homepage
=
"
https://github.com/google/jax
"
pypi
=
"
jax/jax-0.2.25.tar.gz
"
version
(
"
0.3.25
"
,
sha256
=
"
18bea69321cb95ea5ea913adfe5e2c1d453cade9d4cfd0dc814ecba9fc0cb6e3
"
)
version
(
"
0.2.25
"
,
sha256
=
"
822e8d1e06257eaa0fdc4c0a0686c4556e9f33647fa2a766755f984786ae7446
"
)
variant
(
"
cuda
"
,
default
=
True
,
description
=
"
CUDA support
"
)
depends_on
(
"
python@3.7:
"
,
type
=
(
"
build
"
,
"
run
"
))
depends_on
(
"
py-setuptools
"
,
type
=
"
build
"
)
depends_on
(
"
py-numpy@1.18:
"
,
type
=
(
"
build
"
,
"
run
"
))
depends_on
(
"
py-absl-py
"
,
type
=
(
"
build
"
,
"
run
"
))
depends_on
(
"
py-opt-einsum
"
,
type
=
(
"
build
"
,
"
run
"
))
depends_on
(
"
py-scipy@1.2.1:
"
,
type
=
(
"
build
"
,
"
run
"
))
depends_on
(
"
py-typing-extensions
"
,
type
=
(
"
build
"
,
"
run
"
))
depends_on
(
"
py-jaxlib@0.1.69:
"
,
type
=
(
"
build
"
,
"
run
"
),
when
=
"
~cuda
"
)
depends_on
(
"
py-jaxlib@0.1.69:+cuda
"
,
type
=
(
"
build
"
,
"
run
"
),
when
=
"
+cuda
"
)
depends_on
(
"
py-jaxlib@0.3.22:
"
,
type
=
(
"
build
"
,
"
run
"
),
when
=
"
@0.3.25:~cuda
"
)
depends_on
(
"
py-jaxlib@0.3.22:+cuda
"
,
type
=
(
"
build
"
,
"
run
"
),
when
=
"
@0.3.25:+cuda
"
)
for
arch
in
CudaPackage
.
cuda_arch_values
:
depends_on
(
"
py-jaxlib@0.1.69:+cuda cuda_arch={0}
"
.
format
(
arch
),
type
=
(
"
build
"
,
"
run
"
),
when
=
"
cuda_arch={0}
"
.
format
(
arch
),
)
depends_on
(
"
py-jaxlib@0.3.22:+cuda cuda_arch={0}
"
.
format
(
arch
),
type
=
(
"
build
"
,
"
run
"
),
when
=
"
@0.3.25:cuda_arch={0}
"
.
format
(
arch
),
)
This diff is collapsed.
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packages/py-jaxlib/package.py
0 → 100644
+
77
−
0
View file @
f04a5f3b
# Copyright 2013-2021 Lawrence Livermore National Security, LLC and other
# Spack Project Developers. See the top-level COPYRIGHT file for details.
#
# SPDX-License-Identifier: (Apache-2.0 OR MIT)
import
tempfile
import
llnl.util.tty
as
tty
from
spack.package
import
*
class
PyJaxlib
(
PythonPackage
,
CudaPackage
):
"""
XLA library for Jax
"""
homepage
=
"
https://github.com/google/jax
"
url
=
"
https://github.com/google/jax/archive/refs/tags/jaxlib-v0.1.74.tar.gz
"
tmp_path
=
""
version
(
"
0.3.25
"
,
sha256
=
"
73ebc7868631cd9d520385557bbd7f08762d748a5a6a1bebef0f3b8d7ba748ef
"
)
version
(
"
0.1.74
"
,
sha256
=
"
bbc78c7a4927012dcb1b7cd135c7521f782d7dad516a2401b56d3190f81afe35
"
)
depends_on
(
"
python@3.7:
"
,
type
=
(
"
build
"
,
"
run
"
))
depends_on
(
"
py-setuptools
"
,
type
=
"
build
"
)
depends_on
(
"
py-numpy@1.18:
"
,
type
=
(
"
build
"
,
"
run
"
))
depends_on
(
"
py-numpy@1.20:
"
,
type
=
(
"
build
"
,
"
run
"
),
when
=
"
@0.3.16:
"
)
depends_on
(
"
py-opt-einsum
"
,
type
=
(
"
build
"
,
"
run
"
),
when
=
"
@0.2.8:
"
)
depends_on
(
"
py-scipy
"
,
type
=
(
"
build
"
,
"
run
"
))
depends_on
(
"
py-scipy@1.5:
"
,
type
=
(
"
build
"
,
"
run
"
),
when
=
"
@0.3.14:
"
)
depends_on
(
"
py-typing-extensions
"
,
type
=
(
"
build
"
,
"
run
"
),
when
=
"
@0.2.23:
"
)
depends_on
(
"
py-absl-py
"
,
type
=
(
"
build
"
,
"
run
"
))
depends_on
(
"
py-flatbuffers@1.12:2
"
,
type
=
(
"
build
"
,
"
run
"
))
# Bazel 5 not yet supported: https://github.com/google/jax/issues/8440
depends_on
(
"
bazel@4.1.0:4
"
,
type
=
(
"
build
"
),
when
=
"
@:0.3.5
"
)
depends_on
(
"
bazel@5.1.1:
"
,
type
=
(
"
build
"
),
when
=
"
@0.3.6:
"
)
depends_on
(
"
cudnn@8.0.5:
"
,
when
=
"
+cuda
"
)
depends_on
(
"
cuda@11.1:
"
,
when
=
"
+cuda
"
)
def
install
(
self
,
spec
,
prefix
):
args
=
[]
args
.
append
(
"
build/build.py
"
)
if
"
+cuda
"
in
spec
:
args
.
append
(
"
--enable_cuda
"
)
args
.
append
(
"
--cuda_path={0}
"
.
format
(
self
.
spec
[
"
cuda
"
].
prefix
))
args
.
append
(
"
--cudnn_path={0}
"
.
format
(
self
.
spec
[
"
cudnn
"
].
prefix
))
capabilities
=
"
,
"
.
join
(
"
{0:.1f}
"
.
format
(
float
(
i
)
/
10.0
)
for
i
in
spec
.
variants
[
"
cuda_arch
"
].
value
)
args
.
append
(
"
--cuda_compute_capabilities={0}
"
.
format
(
capabilities
))
args
.
append
(
"
--bazel_startup_options=
"
"
--output_user_root={0}
"
.
format
(
self
.
buildtmp
))
python
(
*
args
)
with
working_dir
(
self
.
tmp_path
):
tty
.
warn
(
"
in dir
"
+
self
.
tmp_path
)
args
=
std_pip_args
+
[
"
--prefix=
"
+
self
.
prefix
,
"
.
"
]
pip
(
*
args
)
remove_linked_tree
(
self
.
tmp_path
)
remove_linked_tree
(
self
.
buildtmp
)
def
patch
(
self
):
self
.
tmp_path
=
tempfile
.
mkdtemp
(
prefix
=
"
spack
"
)
self
.
buildtmp
=
tempfile
.
mkdtemp
(
prefix
=
"
spack
"
)
filter_file
(
"""
f
"
--output_path={output_path}
"
,
"""
,
"""
f
"
--output_path={output_path}
"
,
"""
"""
f
"
--sources_path=%s
"
,
"""
"""
f
"
--nohome_rc
'"
,
"""
"""
f
"
--nosystem_rc
'"
,
"""
%
self
.
tmp_path
,
"
build/build.py
"
,
)
filter_file
(
"
args = parser.parse_args()
"
,
"
args,junk = parser.parse_known_args()
"
,
"
build/build_wheel.py
"
,
string
=
True
,
)
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