git: e6238161de04 - main - math/py-torchsde: New port: SDE solvers and stochastic adjoint sensitivity analysis in PyTorch

From: Yuri Victorovich <yuri_at_FreeBSD.org>
Date: Wed, 18 Mar 2026 03:00:43 UTC
The branch main has been updated by yuri:

URL: https://cgit.FreeBSD.org/ports/commit/?id=e6238161de0499df239b921a2c35e7b8793ed46b

commit e6238161de0499df239b921a2c35e7b8793ed46b
Author:     Yuri Victorovich <yuri@FreeBSD.org>
AuthorDate: 2026-03-18 02:18:24 +0000
Commit:     Yuri Victorovich <yuri@FreeBSD.org>
CommitDate: 2026-03-18 03:00:37 +0000

    math/py-torchsde: New port: SDE solvers and stochastic adjoint sensitivity analysis in PyTorch
---
 math/Makefile              |  1 +
 math/py-torchsde/Makefile  | 26 ++++++++++++++++++++++++++
 math/py-torchsde/distinfo  |  3 +++
 math/py-torchsde/pkg-descr |  9 +++++++++
 4 files changed, 39 insertions(+)

diff --git a/math/Makefile b/math/Makefile
index 2d46f59b1b68..6f3b04131e5f 100644
--- a/math/Makefile
+++ b/math/Makefile
@@ -1146,6 +1146,7 @@
     SUBDIR += py-theano
     SUBDIR += py-timple
     SUBDIR += py-topologic
+    SUBDIR += py-torchsde
     SUBDIR += py-triangle
     SUBDIR += py-umap-learn
     SUBDIR += py-uncertainties
diff --git a/math/py-torchsde/Makefile b/math/py-torchsde/Makefile
new file mode 100644
index 000000000000..19f8b360ee9d
--- /dev/null
+++ b/math/py-torchsde/Makefile
@@ -0,0 +1,26 @@
+PORTNAME=	torchsde
+DISTVERSION=	0.2.6
+CATEGORIES=	math python
+MASTER_SITES=	PYPI
+PKGNAMEPREFIX=	${PYTHON_PKGNAMEPREFIX}
+
+MAINTAINER=	yuri@FreeBSD.org
+COMMENT=	SDE solvers and stochastic adjoint sensitivity analysis in PyTorch
+WWW=		https://github.com/google-research/torchsde
+
+LICENSE=	APACHE20
+LICENSE_FILE=	${WRKSRC}/LICENSE
+
+BUILD_DEPENDS=	${PY_SETUPTOOLS} \
+		${PYTHON_PKGNAMEPREFIX}wheel>0:devel/py-wheel@${PY_FLAVOR}
+RUN_DEPENDS=	${PYNUMPY} \
+		${PYTHON_PKGNAMEPREFIX}pytorch>=1.6.0:misc/py-pytorch@${PY_FLAVOR} \
+		${PYTHON_PKGNAMEPREFIX}scipy>=1.5:science/py-scipy@${PY_FLAVOR} \
+		${PYTHON_PKGNAMEPREFIX}trampoline>=0.1.2:devel/py-trampoline@${PY_FLAVOR}
+
+USES=		python
+USE_PYTHON=	pep517 autoplist
+
+NO_ARCH=	yes
+
+.include <bsd.port.mk>
diff --git a/math/py-torchsde/distinfo b/math/py-torchsde/distinfo
new file mode 100644
index 000000000000..03fee0501e79
--- /dev/null
+++ b/math/py-torchsde/distinfo
@@ -0,0 +1,3 @@
+TIMESTAMP = 1773765834
+SHA256 (torchsde-0.2.6.tar.gz) = 81d074d3504f9d190f1694fb526395afbe4608ee43a88adb1262a639e5b4778b
+SIZE (torchsde-0.2.6.tar.gz) = 48840
diff --git a/math/py-torchsde/pkg-descr b/math/py-torchsde/pkg-descr
new file mode 100644
index 000000000000..641f5c9b267a
--- /dev/null
+++ b/math/py-torchsde/pkg-descr
@@ -0,0 +1,9 @@
+TorchSDE provides stochastic differential equation (SDE) solvers with GPU
+support and efficient backpropagation in PyTorch.
+
+Features:
+- Multiple SDE solvers (Euler-Maruyama, Milstein, etc.)
+- Efficient backpropagation through SDE solvers
+- GPU acceleration
+- Support for various noise types
+- Latent SDE models for variational inference