git: 85aebbb57bed - main - misc/py-pytorch: Disable mkldnn, CUDA, and add a patch

The branch main has been updated by yuri:

URL: https://cgit.FreeBSD.org/ports/commit/?id=85aebbb57bed45347a7c13009a2cf10abff229ec

commit 85aebbb57bed45347a7c13009a2cf10abff229ec
Author:     Yuri Victorovich <yuri@FreeBSD.org>
AuthorDate: 2023-05-10 04:15:26 +0000
Commit:     Yuri Victorovich <yuri@FreeBSD.org>
CommitDate: 2023-05-10 04:21:00 +0000

    misc/py-pytorch: Disable mkldnn, CUDA, and add a patch
---
 misc/py-pytorch/Makefile                           |  3 +++
 misc/py-pytorch/files/patch-c10_core_DynamicCast.h | 21 +++++++++++++++++++++
 2 files changed, 24 insertions(+)

diff --git a/misc/py-pytorch/Makefile b/misc/py-pytorch/Makefile
index a71d2a5ebb29..e9f1fc05ffdd 100644
--- a/misc/py-pytorch/Makefile
+++ b/misc/py-pytorch/Makefile
@@ -1,6 +1,7 @@
 PORTNAME=	pytorch
 DISTVERSIONPREFIX=	v
 DISTVERSION=	2.0.0
+PORTREVISION=	1
 CATEGORIES=	misc # machine-learning
 MASTER_SITES=	https://github.com/pytorch/pytorch/releases/download/v${DISTVERSION}/
 PKGNAMEPREFIX=	${PYTHON_PKGNAMEPREFIX}
@@ -39,6 +40,8 @@ USE_PYTHON=	distutils autoplist
 
 MAKE_ENV=	USE_NINJA=no # ninja breaks for some reason
 MAKE_ENV+=	BUILD_TEST=0 # ninja breaks for some reason
+MAKE_ENV+=	USE_MKLDNN=0 # disable MKLDNN that doesn't exist, see https://github.com/pytorch/pytorch/issues/100957
+MAKE_ENV+=	USE_CUDNN=0
 LDFLAGS+=	-lexecinfo
 
 BINARY_ALIAS=	make=${GMAKE}
diff --git a/misc/py-pytorch/files/patch-c10_core_DynamicCast.h b/misc/py-pytorch/files/patch-c10_core_DynamicCast.h
new file mode 100644
index 000000000000..517085e8bdee
--- /dev/null
+++ b/misc/py-pytorch/files/patch-c10_core_DynamicCast.h
@@ -0,0 +1,21 @@
+- workaround for the failuree diring math/dgl build:
+- /usr/local/lib/python3.9/site-packages/torch/include/c10/core/DynamicCast.h:112:22: error: use of undeclared identifier '__assert_fail'
+
+--- c10/core/DynamicCast.h.orig	2023-05-10 02:37:18 UTC
++++ c10/core/DynamicCast.h
+@@ -99,13 +99,13 @@ C10_HOST_DEVICE inline void cast_and_store(
+   template <>                                                 \
+   C10_HOST_DEVICE inline T fetch_and_cast<T>(                 \
+       const ScalarType src_type, const void* ptr) {           \
+-    CUDA_KERNEL_ASSERT(ScalarType::scalartype_ == src_type);  \
++    assert(ScalarType::scalartype_ == src_type);  \
+     return c10::load<T>(ptr);                                 \
+   }                                                           \
+   template <>                                                 \
+   C10_HOST_DEVICE inline void cast_and_store<T>(              \
+       const ScalarType dest_type, void* ptr, T value) {       \
+-    CUDA_KERNEL_ASSERT(ScalarType::scalartype_ == dest_type); \
++    assert(ScalarType::scalartype_ == dest_type); \
+     *(T*)ptr = value;                                         \
+   }
+