Accepted pytorch 1.6.0-2 (source amd64) into experimental, experimental
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Hash: SHA512
Format: 1.8
Date: Mon, 07 Sep 2020 14:27:37 +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: 1.6.0-2
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 (1.6.0-2) experimental; urgency=medium
.
* Let python3-torch recommend libtorch-dev (= ${binary:Version}).
* Let python3-torch recommend ninja-builds (Building PyTorch C++ Extension).
* Add debian/tests/run-cpptest.sh for manually running tests.
* Refresh test program list for gencontrol-pytest.sh and add run-pytest.sh
* Filter out CUDA tests from gencontrol-pytest.sh.
* Remove the unnecessary USE_OPENCV=ON override from the patch
* Enable DNNL/ideep integration and refresh symbols control file.
* Remove "-" signs from rules and add symlink in python3-torch.
* Fix the stronger-dependency-implies-weaker problem for python3-torch.
* Fix the globbing-patterns-out-of-order problem for d/copyright.
* Refresh the shebang patch.
* Sort tests in gencontrol-cpptest.sh and regenerate tests/control.
* Toggle USE_ZSTD=ON and add the corresponding patches and B-Ds.
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