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pytorch_1.6.0-2_amd64.changes (click to toggle)
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.
Files:
31fbd015ba6cbf3478a9409aadbf4fd1 2929 science optional pytorch_1.6.0-2.dsc
5d298af8c9e9ca99871af2cacf63d729 182172 science optional pytorch_1.6.0-2.debian.tar.xz
79c485d52da6610f5936973406660a68 1211332 libdevel optional libtorch-dev_1.6.0-2_amd64.deb
1cf5e3d0d0ed032df14ef3252736ff21 61455984 debug optional libtorch-test-dbgsym_1.6.0-2_amd64.deb
66d73f0924d92c2264237da6c24b816f 8560760 science optional libtorch-test_1.6.0-2_amd64.deb
7c569d8da53c9f75240dcb91997691ef 171792060 debug optional libtorch1.6-dbgsym_1.6.0-2_amd64.deb
346a10dec97af709a371010fe80a460f 18515344 libs optional libtorch1.6_1.6.0-2_amd64.deb
718c459beab10f31728a2d45c8d9f2ed 22917476 debug optional python3-torch-dbgsym_1.6.0-2_amd64.deb
18b3e13a2a7c069badcd71512c20b0f2 5198092 python optional python3-torch_1.6.0-2_amd64.deb
9ebc14a809229234cf34ec6b670826ee 22135 science optional pytorch_1.6.0-2_amd64.buildinfo
pytorch_1.6.0-2.dsc (click to toggle)
Format:3.0 (quilt)
Source:pytorch
Binary:python3-torch, libtorch-dev, libtorch1.6, libtorch-test
Architecture:any
Version:1.6.0-2
Maintainer:Debian Deep Learning Team <debian-science-maintainers@lists.alioth.debian.org>
Uploaders:Mo Zhou <lumin@debian.org>
Homepage:https://pytorch.org/
Standards-Version:4.5.0
Vcs-Browser:https://salsa.debian.org/deeplearning-team/pytorch
Vcs-Git:https://salsa.debian.org/deeplearning-team/pytorch.git
Testsuite:autopkgtest
Testsuite-Triggers:build-essential, python3-hypothesis, python3-pytest
Build-Depends:cmake, debhelper-compat (=12), dh-exec, dh-python, googletest, libasio-dev, libavcodec-dev, libbenchmark-dev, libcpuinfo-dev, libeigen3-dev, libfmt-dev, libfp16-dev, libfxdiv-dev, libgflags-dev, libgloo-dev, libgoogle-glog-dev, libideep-dev, libleveldb-dev, liblmdb-dev, libdnnl-dev, libonnx-dev, libopenblas-dev | libblas-dev, libopencv-dev, libopenmpi-dev, libprotobuf-dev, libprotoc-dev, libpsimd-dev, libpthreadpool-dev, libsleef-dev, libsnappy-dev, libtensorpipe-dev, libxnnpack-dev, libzmq3-dev, libzstd-dev, ninja-build, ocl-icd-opencl-dev, protobuf-compiler, pybind11-dev, python3, python3-all, python3-all-dev, python3-cffi, python3-distutils, python3-numpy, python3-onnx, python3-pybind11, python3-setuptools, python3-yaml
Package-List:libtorch-dev deb libdevel optional arch=any libtorch-test deb science optional arch=any libtorch1.6 deb libs optional arch=any python3-torch deb python optional arch=any
Files:
7d22fb7032399a7c38ac80158c770b6d 11376568 pytorch_1.6.0.orig.tar.gz
5d298af8c9e9ca99871af2cacf63d729 182172 pytorch_1.6.0-2.debian.tar.xz
lintian 2.90.0~bpo10+1 check for pytorch_1.6.0-2.dsc (click to toggle)
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E: pytorch source: redundant-globbing-patterns [* aten/*] for aten/src/ATen/native/quantized/cpu/qnnpack/src/sgemm/5x8-neon.c
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E: pytorch source: redundant-globbing-patterns [* aten/*] for aten/src/ATen/native/quantized/cpu/qnnpack/src/softargmax.c
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E: pytorch source: redundant-globbing-patterns [* aten/*] for aten/src/ATen/native/quantized/cpu/qnnpack/src/u8clamp/neon.c
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E: pytorch source: redundant-globbing-patterns [* aten/*] for aten/src/ATen/native/quantized/cpu/qnnpack/src/u8maxpool/16x9p8q-neon.c
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E: pytorch source: redundant-globbing-patterns [* aten/*] for aten/src/ATen/native/quantized/cpu/qnnpack/src/x8lut/scalar.c
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E: pytorch source: redundant-globbing-patterns [* aten/*] for aten/src/ATen/native/quantized/cpu/qnnpack/test/average-pooling-operator-tester.h
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E: pytorch source: redundant-globbing-patterns [* aten/*] for aten/src/ATen/native/quantized/cpu/qnnpack/test/avgpool-microkernel-tester.h
E: pytorch source: redundant-globbing-patterns [* aten/*] for aten/src/ATen/native/quantized/cpu/qnnpack/test/channel-shuffle-operator-tester.h
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E: pytorch source: redundant-globbing-patterns [* aten/*] for aten/src/ATen/native/quantized/cpu/qnnpack/test/clamp-microkernel-tester.h
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E: pytorch source: redundant-globbing-patterns [* aten/*] for aten/src/ATen/native/quantized/cpu/qnnpack/test/convolution-operator-tester.h
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E: pytorch source: redundant-globbing-patterns [* aten/*] for aten/src/ATen/native/quantized/cpu/qnnpack/test/deconvolution-operator-tester.h
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E: pytorch source: redundant-globbing-patterns [* aten/*] for aten/src/ATen/native/quantized/cpu/qnnpack/test/dwconv-microkernel-tester.h
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E: pytorch source: redundant-globbing-patterns [* aten/*] for aten/src/ATen/native/quantized/cpu/qnnpack/test/gavgpool-microkernel-tester.h
E: pytorch source: redundant-globbing-patterns [* aten/*] for aten/src/ATen/native/quantized/cpu/qnnpack/test/gemm-microkernel-tester.h
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E: pytorch source: redundant-globbing-patterns [* aten/*] for aten/src/ATen/native/quantized/cpu/qnnpack/test/hardsigmoid-operator-tester.h
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E: pytorch source: redundant-globbing-patterns [* aten/*] for aten/src/ATen/native/quantized/cpu/qnnpack/test/hardswish-operator-tester.h
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E: pytorch source: redundant-globbing-patterns [* aten/*] for aten/src/ATen/native/quantized/cpu/qnnpack/test/leaky-relu-operator-tester.h
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E: pytorch source: redundant-globbing-patterns [* aten/*] for aten/src/ATen/native/quantized/cpu/qnnpack/test/lut-microkernel-tester.h
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E: pytorch source: redundant-globbing-patterns [* aten/*] for aten/src/ATen/native/quantized/cpu/qnnpack/test/maxpool-microkernel-tester.h
E: pytorch source: redundant-globbing-patterns [* aten/*] for aten/src/ATen/native/quantized/cpu/qnnpack/test/q8avgpool.cc
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E: pytorch source: redundant-globbing-patterns [* aten/*] for aten/src/ATen/native/quantized/cpu/qnnpack/test/q8dwconv.cc
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E: pytorch source: redundant-globbing-patterns [* aten/*] for aten/src/ATen/native/quantized/cpu/qnnpack/test/q8vadd.cc
E: pytorch source: redundant-globbing-patterns [* aten/*] for aten/src/ATen/native/quantized/cpu/qnnpack/test/requantization-tester.h
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E: pytorch source: redundant-globbing-patterns [* aten/*] for aten/src/ATen/native/quantized/cpu/qnnpack/test/rmax-microkernel-tester.h
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E: pytorch source: redundant-globbing-patterns [* aten/*] for aten/src/ATen/native/quantized/cpu/qnnpack/test/sgemm.cc
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E: pytorch source: redundant-globbing-patterns [* aten/*] for aten/src/ATen/native/quantized/cpu/qnnpack/test/softargmax-operator-tester.h
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E: pytorch source: redundant-globbing-patterns [* aten/*] for aten/src/ATen/native/quantized/cpu/qnnpack/test/tanh-operator-tester.h
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E: pytorch source: redundant-globbing-patterns [* aten/*] for aten/src/ATen/native/quantized/cpu/qnnpack/test/test_utils.h
E: pytorch source: redundant-globbing-patterns [* aten/*] for aten/src/ATen/native/quantized/cpu/qnnpack/test/u8clamp.cc
E: pytorch source: redundant-globbing-patterns [* aten/*] for aten/src/ATen/native/quantized/cpu/qnnpack/test/u8lut32norm.cc
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E: pytorch source: redundant-globbing-patterns [* aten/*] for aten/src/ATen/native/quantized/cpu/qnnpack/test/u8rmax.cc
E: pytorch source: redundant-globbing-patterns [* aten/*] for aten/src/ATen/native/quantized/cpu/qnnpack/test/vadd-microkernel-tester.h
E: pytorch source: redundant-globbing-patterns [* aten/*] for aten/src/ATen/native/quantized/cpu/qnnpack/test/x8lut.cc
E: pytorch source: redundant-globbing-patterns [* aten/*] for aten/src/ATen/native/quantized/cpu/qnnpack/test/x8zip.cc
E: pytorch source: redundant-globbing-patterns [* aten/*] for aten/src/ATen/native/quantized/cpu/qnnpack/test/zip-microkernel-tester.h
E: pytorch source: redundant-globbing-patterns [* aten/*] for aten/src/ATen/native/quantized/cpu/qnnpack/wrappers/dummy.c
E: pytorch source: redundant-globbing-patterns [* aten/*] for aten/src/ATen/native/quantized/cpu/qnnpack/wrappers/hgemm/8x8-aarch32-neonfp16arith.S
E: pytorch source: redundant-globbing-patterns [* aten/*] for aten/src/ATen/native/quantized/cpu/qnnpack/wrappers/q8avgpool/mp8x9p8q-neon.c
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E: pytorch source: redundant-globbing-patterns [* aten/*] for aten/src/ATen/native/quantized/cpu/qnnpack/wrappers/q8avgpool/up8x9-neon.c
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E: pytorch source: redundant-globbing-patterns [* aten/*] for aten/src/ATen/native/quantized/cpu/qnnpack/wrappers/q8dwconv/mp8x25-sse2.c
E: pytorch source: redundant-globbing-patterns [* aten/*] for aten/src/ATen/native/quantized/cpu/qnnpack/wrappers/q8dwconv/up8x9-aarch32-neon-per-channel.S
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E: pytorch source: redundant-globbing-patterns [* aten/*] for aten/src/ATen/native/quantized/cpu/qnnpack/wrappers/q8dwconv/up8x9-sse2.c
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E: pytorch source: redundant-globbing-patterns [* test/*] for test/expect/TestJit.test_pretty_printer-loop_use_test.expect
E: pytorch source: redundant-globbing-patterns [* test/*] for test/expect/TestJit.test_pretty_printer-print_weird_test.expect
E: pytorch source: redundant-globbing-patterns [* test/*] for test/expect/TestJit.test_pretty_printer-python_op_name_test.expect
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E: pytorch source: redundant-globbing-patterns [* test/*] for test/expect/TestPytorchExportModes.test_aten_fallback.expect
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E: pytorch source: redundant-globbing-patterns [* test/*] for test/expect/TestScript.test_annot_ast_mypy_fn.expect
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E: pytorch source: redundant-globbing-patterns [* test/*] for test/expect/TestScript.test_annot_ast_py3_fn.expect
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E: pytorch source: redundant-globbing-patterns [* test/*] for test/expect/TestScript.test_annot_string_mypy_fn.expect
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E: pytorch source: redundant-globbing-patterns [* test/*] for test/expect/TestScript.test_annotated_script_fn.expect
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E: pytorch source: redundant-globbing-patterns [* test/*] for test/expect/TestScript.test_parser_type_annotations_comment.expect
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E: pytorch source: redundant-globbing-patterns [* test/*] for test/expect/TestTensorBoard.test_histogram_auto.expect
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E: pytorch source: redundant-globbing-patterns [* test/*] for test/expect/TestTensorBoard.test_image_with_3_channel_batched.expect
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E: pytorch source: redundant-globbing-patterns [* test/*] for test/expect/TestTensorBoard.test_image_without_channel.expect
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E: pytorch source: redundant-globbing-patterns [* test/*] for test/onnx/expect/TestOperators.test_add_size1_singleton_broadcast.expect
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E: pytorch source: redundant-globbing-patterns [* test/*] for test/onnx/expect/TestOperators.test_arange_dynamic.expect
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E: pytorch source: redundant-globbing-patterns [* test/*] for test/onnx/expect/TestOperators.test_avg_pool2d.expect
E: pytorch source: redundant-globbing-patterns [* test/*] for test/onnx/expect/TestOperators.test_baddbmm.expect
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E: pytorch source: redundant-globbing-patterns [* test/*] for test/onnx/expect/TestOperators.test_batchnorm_training.expect
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E: pytorch source: redundant-globbing-patterns [* test/*] for test/onnx/expect/TestOperators.test_conv_onnx_irv4_opset8.expect
E: pytorch source: redundant-globbing-patterns [* test/*] for test/onnx/expect/TestOperators.test_convtranspose.expect
E: pytorch source: redundant-globbing-patterns [* test/*] for test/onnx/expect/TestOperators.test_cos.expect
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README.source for pytorch_1.6.0-2.dsc (click to toggle)
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control file for libtorch-dev_1.6.0-2_amd64.deb (click to toggle)
Package:libtorch-dev
Source:pytorch
Version:1.6.0-2
Architecture:amd64
Maintainer:Debian Deep Learning Team <debian-science-maintainers@lists.alioth.debian.org>
Installed-Size:9351
Depends:libgflags-dev, libgoogle-glog-dev, libtorch1.6 (=1.6.0-2), python3-all-dev
Section:libdevel
Priority:optional
Homepage:https://pytorch.org/
Description:
Tensors and Dynamic neural networks in Python with strong GPU acceleration
 PyTorch is a Python package that provides two high-level features:
 .
 (1) Tensor computation (like NumPy) with strong GPU acceleration
 (2) Deep neural networks built on a tape-based autograd system
 .
 You can reuse your favorite Python packages such as NumPy, SciPy and Cython
 to extend PyTorch when needed.
 .
 This is the CPU-only version of PyTorch and Caffe2 (Development files).
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contents of libtorch-dev_1.6.0-2_amd64.deb (click to toggle)
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Package:libtorch-test
Source:pytorch
Version:1.6.0-2
Architecture:amd64
Maintainer:Debian Deep Learning Team <debian-science-maintainers@lists.alioth.debian.org>
Installed-Size:67028
Depends:libtorch1.6 (=1.6.0-2), libbenchmark1 (>=1.5.1), libc6 (>=2.29), libgcc-s1 (>=3.0), libgflags2.2, libgomp1 (>=4.9), libgoogle-glog0v5, libopenmpi3 (>=4.0.4), libprotobuf23 (>=3.12.3), libstdc++6 (>=9)
Section:science
Priority:optional
Homepage:https://pytorch.org/
Description:
Tensors and Dynamic neural networks in Python with strong GPU acceleration
 PyTorch is a Python package that provides two high-level features:
 .
 (1) Tensor computation (like NumPy) with strong GPU acceleration
 (2) Deep neural networks built on a tape-based autograd system
 .
 You can reuse your favorite Python packages such as NumPy, SciPy and Cython
 to extend PyTorch when needed.
 .
 This is the CPU-only version of PyTorch and Caffe2 (Test Binaries).
lintian 2.90.0~bpo10+1 check for libtorch-test_1.6.0-2_amd64.deb (click to toggle)
contents of libtorch-test_1.6.0-2_amd64.deb (click to toggle)
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control file for libtorch-test-dbgsym_1.6.0-2_amd64.deb (click to toggle)
Package:libtorch-test-dbgsym
Source:pytorch
Version:1.6.0-2
Auto-Built-Package:debug-symbols
Architecture:amd64
Maintainer:Debian Deep Learning Team <debian-science-maintainers@lists.alioth.debian.org>
Installed-Size:84636
Depends:libtorch-test (=1.6.0-2)
Section:debug
Priority:optional
Description:
debug symbols for libtorch-test
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lintian 2.90.0~bpo10+1 check for libtorch-test-dbgsym_1.6.0-2_amd64.deb (click to toggle)
contents of libtorch-test-dbgsym_1.6.0-2_amd64.deb (click to toggle)
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control file for libtorch1.6_1.6.0-2_amd64.deb (click to toggle)
Package:libtorch1.6
Source:pytorch
Version:1.6.0-2
Architecture:amd64
Maintainer:Debian Deep Learning Team <debian-science-maintainers@lists.alioth.debian.org>
Installed-Size:81562
Depends:libavcodec58 (>=7:4.0), libavformat58 (>=7:4.1), libavutil56 (>=7:4.0), libc6 (>=2.30), libcpuinfo0 (>=0.0~git20181113.3bf2c72), libdnnl1 (>=2.0~beta6), libgcc-s1 (>=3.4), libgflags2.2, libgloo0 (>=0.0~git20200408.d6a961a), libgomp1 (>=4.9), libgoogle-glog0v5, libleveldb1d, liblmdb0 (>=0.9.7), libnuma1 (>=2.0.11), libonnx1 (>=1.7.0+dfsg), libopenblas0, libopencv-calib3d4.2 (>=4.2.0+dfsg), libopencv-contrib4.2 (>=4.2.0+dfsg), libopencv-core4.2 (>=4.2.0+dfsg), libopencv-features2d4.2 (>=4.2.0+dfsg), libopencv-flann4.2 (>=4.2.0+dfsg), libopencv-highgui4.2 (>=4.2.0+dfsg), libopencv-imgcodecs4.2 (>=4.2.0+dfsg), libopencv-imgproc4.2 (>=4.2.0+dfsg), libopencv-video4.2 (>=4.2.0+dfsg), libopencv-videoio4.2 (>=4.2.0+dfsg), libopenmpi3 (>=4.0.4), libprotobuf23 (>=3.12.3), libpthreadpool0 (>=0.0~git20200423.6acde9c), libsleef3 (>=3.3), libsnappy1v5 (>=1.1.8), libstdc++6 (>=9), libswresample3 (>=7:4.0), libswscale5 (>=7:4.0), libtensorpipe0 (>=0.0~git20200805.42033c5), libxnnpack0 (>=0.0~git20200425.54f5917), libzmq5 (>=3.2.3+dfsg), libzstd1 (>=1.3.2), ocl-icd-libopencl1 | libopencl1
Section:libs
Priority:optional
Homepage:https://pytorch.org/
Description:
Tensors and Dynamic neural networks in Python with strong GPU acceleration
 PyTorch is a Python package that provides two high-level features:
 .
 (1) Tensor computation (like NumPy) with strong GPU acceleration
 (2) Deep neural networks built on a tape-based autograd system
 .
 You can reuse your favorite Python packages such as NumPy, SciPy and Cython
 to extend PyTorch when needed.
 .
 This is the CPU-only version of PyTorch and Caffe2 (Shared Objects).
lintian 2.90.0~bpo10+1 check for libtorch1.6_1.6.0-2_amd64.deb (click to toggle)
contents of libtorch1.6_1.6.0-2_amd64.deb (click to toggle)
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lrwxrwxrwx root/root         0 2020-09-07 06:27 ./usr/lib/x86_64-linux-gnu/libc10.so.1.6 -> libc10.so.1.6.0
lrwxrwxrwx root/root         0 2020-09-07 06:27 ./usr/lib/x86_64-linux-gnu/libcaffe2_detectron_ops.so.1.6 -> libcaffe2_detectron_ops.so.1.6.0
lrwxrwxrwx root/root         0 2020-09-07 06:27 ./usr/lib/x86_64-linux-gnu/libcaffe2_module_test_dynamic.so.1.6 -> libcaffe2_module_test_dynamic.so.1.6.0
lrwxrwxrwx root/root         0 2020-09-07 06:27 ./usr/lib/x86_64-linux-gnu/libcaffe2_observers.so.1.6 -> libcaffe2_observers.so.1.6.0
lrwxrwxrwx root/root         0 2020-09-07 06:27 ./usr/lib/x86_64-linux-gnu/libshm.so.1.6 -> libshm.so.1.6.0
lrwxrwxrwx root/root         0 2020-09-07 06:27 ./usr/lib/x86_64-linux-gnu/libtorch.so.1.6 -> libtorch.so.1.6.0
lrwxrwxrwx root/root         0 2020-09-07 06:27 ./usr/lib/x86_64-linux-gnu/libtorch_cpu.so.1.6 -> libtorch_cpu.so.1.6.0
lrwxrwxrwx root/root         0 2020-09-07 06:27 ./usr/lib/x86_64-linux-gnu/libtorch_global_deps.so.1.6 -> libtorch_global_deps.so.1.6.0
lrwxrwxrwx root/root         0 2020-09-07 06:27 ./usr/lib/x86_64-linux-gnu/libtorch_python.so.1.6 -> libtorch_python.so.1.6.0
control file for libtorch1.6-dbgsym_1.6.0-2_amd64.deb (click to toggle)
Package:libtorch1.6-dbgsym
Source:pytorch
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Auto-Built-Package:debug-symbols
Architecture:amd64
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Depends:libtorch1.6 (=1.6.0-2)
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debug symbols for libtorch1.6
Build-Ids:1af6f48c0e4cdc7efaa593bc6c6839f22ba38949 5d2f8cca0bb58eb8085fbefc7a050348cf27af44 7ad8d093141e2f91dce075d5a8ec20e2ba704860 81a0b37f2edbe087dab522ccfc5738509b235cb3 85dae72c324728911f27ba272c402bacafbb22d2 98631825a2204f64cb480abc7c224afbda418669 bc52e2e6ffec0d2b40f3b7a3ab5d5fd8f1bbf217 c4a6047890cac483359c70faf7b4f537c29622fa f49329196da59c2de74c4fb7e0281583aaee4a8b
lintian 2.90.0~bpo10+1 check for libtorch1.6-dbgsym_1.6.0-2_amd64.deb (click to toggle)
contents of libtorch1.6-dbgsym_1.6.0-2_amd64.deb (click to toggle)
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lrwxrwxrwx root/root         0 2020-09-07 06:27 ./usr/share/doc/libtorch1.6-dbgsym -> libtorch1.6
control file for python3-torch_1.6.0-2_amd64.deb (click to toggle)
Package:python3-torch
Source:pytorch
Version:1.6.0-2
Architecture:amd64
Maintainer:Debian Deep Learning Team <debian-science-maintainers@lists.alioth.debian.org>
Installed-Size:26954
Depends:libtorch1.6 (=1.6.0-2), python3 (<<3.9), python3 (>=3.8~), python3-future, python3-numpy (>=1:1.16.0~rc1), python3-numpy-abi9, python3-pkg-resources, python3-requests, python3-six, python3-yaml, python3:any, libc6 (>=2.30), libdnnl1 (>=2.0~beta6), libgcc-s1 (>=3.0), libgoogle-glog0v5, libonnx1 (>=1.7.0+dfsg), libprotobuf23 (>=3.12.3), libstdc++6 (>=9)
Recommends:libtorch-dev (=1.6.0-2), ninja-build
Suggests:python3-hypothesis, python3-pytest
Section:python
Priority:optional
Homepage:https://pytorch.org/
Description:
Tensors and Dynamic neural networks in Python with strong GPU acceleration
 PyTorch is a Python package that provides two high-level features:
 .
 (1) Tensor computation (like NumPy) with strong GPU acceleration
 (2) Deep neural networks built on a tape-based autograd system
 .
 You can reuse your favorite Python packages such as NumPy, SciPy and Cython
 to extend PyTorch when needed.
 .
 This is the CPU-only version of PyTorch and Caffe2 (Python interface).
lintian 2.90.0~bpo10+1 check for python3-torch_1.6.0-2_amd64.deb (click to toggle)
W: python3-torch: script-uses-bin-env usr/lib/python3/dist-packages/caffe2/contrib/aten/gen_op.py
O: python3-torch: breakout-link usr/lib/python3/dist-packages/torch/include/ATen -> usr/include/ATen
O: python3-torch: breakout-link usr/lib/python3/dist-packages/torch/include/TH -> usr/include/TH
O: python3-torch: breakout-link usr/lib/python3/dist-packages/torch/include/c10 -> usr/include/c10
O: python3-torch: breakout-link usr/lib/python3/dist-packages/torch/include/caffe2 -> usr/include/caffe2
O: python3-torch: breakout-link usr/lib/python3/dist-packages/torch/include/torch -> usr/include/torch
O: python3-torch: breakout-link usr/lib/python3/dist-packages/torch/lib/libc10.so -> usr/lib/x86_64-linux-gnu/libc10.so.1.6
O: python3-torch: breakout-link usr/lib/python3/dist-packages/torch/lib/libcaffe2_detectron_ops.so -> usr/lib/x86_64-linux-gnu/libcaffe2_detectron_ops.so.1.6
O: python3-torch: breakout-link usr/lib/python3/dist-packages/torch/lib/libcaffe2_module_test_dynamic.so -> usr/lib/x86_64-linux-gnu/libcaffe2_module_test_dynamic.so.1.6
O: python3-torch: breakout-link usr/lib/python3/dist-packages/torch/lib/libcaffe2_observers.so -> usr/lib/x86_64-linux-gnu/libcaffe2_observers.so.1.6
O: python3-torch: breakout-link usr/lib/python3/dist-packages/torch/lib/libshm.so -> usr/lib/x86_64-linux-gnu/libshm.so.1.6
O: python3-torch: breakout-link usr/lib/python3/dist-packages/torch/lib/libtorch.so -> usr/lib/x86_64-linux-gnu/libtorch.so.1.6
O: python3-torch: breakout-link usr/lib/python3/dist-packages/torch/lib/libtorch_cpu.so -> usr/lib/x86_64-linux-gnu/libtorch_cpu.so.1.6
O: python3-torch: breakout-link usr/lib/python3/dist-packages/torch/lib/libtorch_global_deps.so -> usr/lib/x86_64-linux-gnu/libtorch_global_deps.so.1.6
O: python3-torch: breakout-link usr/lib/python3/dist-packages/torch/lib/libtorch_python.so -> usr/lib/x86_64-linux-gnu/libtorch_python.so.1.6
O: python3-torch: breakout-link usr/lib/python3/dist-packages/torch/test -> usr/lib/libtorch-test
O: python3-torch: no-manual-page usr/bin/convert-caffe2-to-onnx
O: python3-torch: no-manual-page usr/bin/convert-onnx-to-caffe2
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