-----BEGIN PGP SIGNED MESSAGE----- Hash: SHA512 Format: 1.8 Date: Mon, 31 Aug 2020 19:41:58 +0800 Source: pytorch Binary: libtorch-dev libtorch-test libtorch-test-dbgsym libtorch1.6 libtorch1.6-dbgsym python3-torch python3-torch-dbgsym Architecture: source amd64 Version: 1.6.0-1 Distribution: experimental Urgency: medium Maintainer: Debian Deep Learning Team <debian-science-maintainers@lists.alioth.debian.org> Changed-By: Mo Zhou <lumin@debian.org> Description: libtorch-dev - Tensors and Dynamic neural networks in Python with strong GPU acc libtorch-test - Tensors and Dynamic neural networks in Python with strong GPU acc libtorch1.6 - Tensors and Dynamic neural networks in Python with strong GPU acc python3-torch - Tensors and Dynamic neural networks in Python with strong GPU acc Changes: pytorch (1.6.0-1) experimental; urgency=medium . * New upstream version 1.6.0 * Refresh shebang.patch. * Significantly rebase dirtyhack.patch as most changes have been upstreamed. * Remove dont-break-dev-null.patch. fixed upstream. * Add some missing Depends for libtorch-dev. * Stripping the quotes in ONNX_NAMESPACE to fix build failure. * Add libtensorpipe-dev to Build-Depends. * Rename libtorch1 -> libtorch1.6 and refresh symbols control file. * dirtyhack.patch: Deal with the fmt and tensorpipe libraries. * rules: use SOVERSION variable and update the install target. * Update d/copyright and apply wrap-and-sort. * Put proper symlinks to usr/lib/python3*/dist-packages/torch/lib. 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