87dca0130c
* (py-)onnx: new version 1.13.0, 1.13.1 (for py-torch@2) ONNX has a new version 1.13.1 which is required for py-torch +onnx_ml. This version adds python 3.11 support, Mac M1/M2 support. No build system changes changes. - https://github.com/onnx/onnx/releases/tag/v1.13.0 (main changes) - https://github.com/onnx/onnx/releases/tag/v1.13.1 (bugfixes) - https://github.com/onnx/onnx/commits/main/CMakeLists.txt (top 6 commits are on top of the last 1.12 release) - https://github.com/onnx/onnx/blob/v1.13.1/requirements.txt - https://github.com/onnx/onnx/blob/v1.13.1/requirements-release.txt * py-onnx: update dependencies * Apply suggestions from code review Co-authored-by: Adam J. Stewart <ajstewart426@gmail.com> * protobuf: new version 3.22.2, depends_on abseil-cpp * onnx: require c++14 for protobuf * py-protobuf: new preferred version 3.20.3 * protobuf: new versions 3.20.2, 3.20.3 * [@spackbot] updating style on behalf of wdconinc * protobuf: no double depends_on abseil-cpp * py-protobuf: no preferred 3.20.3 --------- Co-authored-by: Adam J. Stewart <ajstewart426@gmail.com> Co-authored-by: wdconinc <wdconinc@users.noreply.github.com>
70 lines
3.2 KiB
Python
70 lines
3.2 KiB
Python
# 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 Onnx(CMakePackage):
|
|
"""Open Neural Network Exchange (ONNX).
|
|
|
|
ONNX provides an open source format for AI models, both deep learning and
|
|
traditional ML. It defines an extensible computation graph model, as well
|
|
as definitions of built-in operators and standard data types."""
|
|
|
|
homepage = "https://github.com/onnx/onnx"
|
|
url = "https://github.com/onnx/onnx/archive/refs/tags/v1.9.0.tar.gz"
|
|
git = "https://github.com/onnx/onnx.git"
|
|
|
|
version("master", branch="master")
|
|
version(
|
|
"1.13.1", sha256="090d3e10ec662a98a2a72f1bf053f793efc645824f0d4b779e0ce47468a0890e"
|
|
) # py-torch@2:
|
|
version("1.13.0", sha256="66eb61fc0ff4b6189816eb8e4da52e1e6775a1c29f372cbd08b694aa5b4ca978")
|
|
version("1.12.0", sha256="052ad3d5dad358a33606e0fc89483f8150bb0655c99b12a43aa58b5b7f0cc507")
|
|
version(
|
|
"1.11.0", sha256="a20f2d9df805b16ac75ab4da0a230d3d1c304127d719e5c66a4e6df514e7f6c0"
|
|
) # py-torch@1.12:
|
|
version("1.10.2", sha256="520b3aa34272cc215e2eb41385f58adf01750d88858d4722563edca8410c5dc9")
|
|
version(
|
|
"1.10.1_2021-10-08", commit="85546f8c44e627f8ff1181725d03cc49f675e44f"
|
|
) # py-torch@1.11
|
|
version(
|
|
"1.10.1", sha256="cb2fe3e0c9bba128a5790a565d81be30f4b5571eaca5418fb19df8d2d0f11ce2"
|
|
) # py-torch@1.10
|
|
version("1.10.0", sha256="705a27ee076713b8c755911913c9ffa8f96b95fc3a8568ed0b8e1dd954d67147")
|
|
version("1.9.0", sha256="61d459a5f30604cabec352574119a6685dfd43bfa757cfbff52be9471d5b8ea0")
|
|
version(
|
|
"1.8.0_2020-11-03", commit="54c38e6eaf557b844e70cebc00f39ced3321e9ad"
|
|
) # py-torch@1.8:1.9
|
|
version(
|
|
"1.7.0_2020-05-31", commit="a82c6a7010e2e332d8f74ad5b0c726fd47c85376"
|
|
) # py-torch@1.6:1.7
|
|
version("1.6.0_2020-02-16", commit="9fdae4c68960a2d44cd1cc871c74a6a9d469fa1f") # py-torch@1.5
|
|
version("1.6.0_2019-11-06", commit="fea8568cac61a482ed208748fdc0e1a8e47f62f5") # py-torch@1.4
|
|
version("1.6.0_2019-09-26", commit="034921bd574cc84906b7996c07873454b7dd4135") # py-torch@1.3
|
|
version("1.5.0_2019-07-25", commit="28ca699b69b5a31892619defca2391044a9a6052") # py-torch@1.2
|
|
version("1.5.0_2019-04-25", commit="22662bfd4dcc6baebf29e3b823a051676f991001") # py-torch@1.1
|
|
version("1.3.0_2018-12-04", commit="42804705bdbf179d1a98394008417e1392013547") # py-torch@1.0
|
|
version(
|
|
"1.2.2_2018-07-16", commit="b2817a682f25f960586f06caa539bbbd7a96b859"
|
|
) # py-torch@0.4.1
|
|
version(
|
|
"1.1.0_2018-04-19", commit="7e1bed51cc508a25b22130de459830b5d5063c41"
|
|
) # py-torch@0.4.0
|
|
|
|
generator("ninja")
|
|
depends_on("cmake@3.1:", type="build")
|
|
depends_on("python", type="build")
|
|
depends_on("protobuf")
|
|
|
|
def patch(self):
|
|
if self.spec.satisfies("@1.13 ^protobuf@3.22:"):
|
|
filter_file("CMAKE_CXX_STANDARD 11", "CMAKE_CXX_STANDARD 14", "CMakeLists.txt")
|
|
|
|
def cmake_args(self):
|
|
# Try to get ONNX to use the same version of python as the spec is using
|
|
args = ["-DPY_VERSION={0}".format(self.spec["python"].version.up_to(2))]
|
|
return args
|