head 1.2; access; symbols pkgsrc-2026Q1:1.2.0.6 pkgsrc-2026Q1-base:1.2 pkgsrc-2025Q4:1.2.0.4 pkgsrc-2025Q4-base:1.2 pkgsrc-2025Q3:1.2.0.2 pkgsrc-2025Q3-base:1.2 pkgsrc-2025Q2:1.1.0.4 pkgsrc-2025Q2-base:1.1 pkgsrc-2025Q1:1.1.0.2 pkgsrc-2025Q1-base:1.1; locks; strict; comment @# @; 1.2 date 2025.08.19.15.05.38; author wiz; state Exp; branches; next 1.1; commitid KWWB7144lhMWSl7G; 1.1 date 2025.01.21.13.36.49; author ryoon; state Exp; branches; next ; commitid w4AAm3mKQUAW8mGF; desc @@ 1.2 log @py-torch: fix build with cmake 4 @ text @$NetBSD: patch-cmake_Dependencies.cmake,v 1.1 2025/01/21 13:36:49 ryoon Exp $ * Fix errors related to RPATH change. --- cmake/Dependencies.cmake.orig 2024-10-29 18:00:43.000000000 +0000 +++ cmake/Dependencies.cmake @@@@ -9,7 +9,7 @@@@ endif(APPLE) # Use separate rpaths during build and install phases set(CMAKE_SKIP_BUILD_RPATH FALSE) # Don't use the install-rpath during the build phase -set(CMAKE_BUILD_WITH_INSTALL_RPATH FALSE) +set(CMAKE_BUILD_WITH_INSTALL_RPATH TRUE) set(CMAKE_INSTALL_RPATH "${_rpath_portable_origin}") # Automatically add all linked folders that are NOT in the build directory to # the rpath (per library?) @ 1.1 log @math/py-torch: import py313-torch-2.5.1 PyTorch is a Python package that provides two high-level features: * Tensor computation (like NumPy) with strong GPU acceleration * Deep neural networks built on a tape-based autograd system @ text @d1 1 a1 1 $NetBSD$ d5 1 a5 1 --- cmake/Dependencies.cmake.orig 2025-01-19 11:34:31.033893427 +0000 @