blob: ade0b3cbce9d31f7ecb82ca90ebb303063c633b1 (
plain) (
blame)
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
|
# Copyright 2013-2023 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 PyTorchdiffeq(PythonPackage):
"""ODE solvers and adjoint sensitivity analysis in PyTorch."""
homepage = "https://github.com/rtqichen/torchdiffeq"
pypi = "torchdiffeq/torchdiffeq-0.2.3.tar.gz"
license("MIT")
version("0.2.3", sha256="fe75f434b9090ac0c27702e02bed21472b0f87035be6581f51edc5d4013ea31a")
depends_on("python@3.6:3", type=("build", "run"))
depends_on("py-setuptools", type="build")
depends_on("py-torch@1.3:", type=("build", "run"))
depends_on("py-scipy@1.4:", type=("build", "run"))
|
