Accepted pytorch 1.6.0-1 (source amd64) into experimental, experimental
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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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