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pytorch_1.6.0-1_amd64.changes (click to toggle)
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.
Files:
7b50d977bae1537939837c7a291592db 2869 science optional pytorch_1.6.0-1.dsc
7d22fb7032399a7c38ac80158c770b6d 11376568 science optional pytorch_1.6.0.orig.tar.gz
6067a80b7605277e9963766ca115d9fb 181564 science optional pytorch_1.6.0-1.debian.tar.xz
2f02d6edda47d28cef51b92d7684735c 1211028 libdevel optional libtorch-dev_1.6.0-1_amd64.deb
ca660177553f8a1103dbbf15cb153655 61390956 debug optional libtorch-test-dbgsym_1.6.0-1_amd64.deb
76bb04440afb519e115c85647a2fd666 8571540 science optional libtorch-test_1.6.0-1_amd64.deb
058679b54d25bd32e1ebba918e679290 163017676 debug optional libtorch1.6-dbgsym_1.6.0-1_amd64.deb
94554c632085bec6de8ebc4f3d43ae0b 18015668 libs optional libtorch1.6_1.6.0-1_amd64.deb
40a88879d025e928dbf618125fb4d737 22544860 debug optional python3-torch-dbgsym_1.6.0-1_amd64.deb
a51fa1c884f8dd37494a31dd3ee20c51 5162728 python optional python3-torch_1.6.0-1_amd64.deb
e00c4bb2b5139665c5a486946dea2bbe 21859 science optional pytorch_1.6.0-1_amd64.buildinfo
pytorch_1.6.0-1.dsc (click to toggle)
Format:3.0 (quilt)
Source:pytorch
Binary:python3-torch, libtorch-dev, libtorch1.6, libtorch-test
Architecture:any
Version:1.6.0-1
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, libleveldb-dev, liblmdb-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, ninja-build, 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
6067a80b7605277e9963766ca115d9fb 181564 pytorch_1.6.0-1.debian.tar.xz
lintian 2.90.0~bpo10+1 check for pytorch_1.6.0-1.dsc (click to toggle)
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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/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/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/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
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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
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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
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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
E: pytorch source: redundant-globbing-patterns [* aten/*] for aten/src/ATen/native/quantized/cpu/qnnpack/wrappers/q8gavgpool/mp8x7p7q-neon.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/TestScript.test_annot_ast_py3_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_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_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_convtranspose.expect
E: pytorch source: redundant-globbing-patterns [* test/*] for test/onnx/expect/TestOperators.test_cos.expect
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control file for libtorch-dev_1.6.0-1_amd64.deb (click to toggle)
Package:libtorch-dev
Source:pytorch
Version:1.6.0-1
Architecture:amd64
Maintainer:Debian Deep Learning Team <debian-science-maintainers@lists.alioth.debian.org>
Installed-Size:9349
Depends:libgflags-dev, libgoogle-glog-dev, libtorch1.6 (=1.6.0-1), 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_1.6.0-1_amd64.deb (click to toggle)
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Package:libtorch-test
Source:pytorch
Version:1.6.0-1
Architecture:amd64
Maintainer:Debian Deep Learning Team <debian-science-maintainers@lists.alioth.debian.org>
Installed-Size:67022
Depends:libtorch1.6 (=1.6.0-1), 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_1.6.0-1_amd64.deb (click to toggle)
contents of libtorch-test_1.6.0-1_amd64.deb (click to toggle)
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control file for libtorch-test-dbgsym_1.6.0-1_amd64.deb (click to toggle)
Package:libtorch-test-dbgsym
Source:pytorch
Version:1.6.0-1
Auto-Built-Package:debug-symbols
Architecture:amd64
Maintainer:Debian Deep Learning Team <debian-science-maintainers@lists.alioth.debian.org>
Installed-Size:84472
Depends:libtorch-test (=1.6.0-1)
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_1.6.0-1_amd64.deb (click to toggle)
contents of libtorch-test-dbgsym_1.6.0-1_amd64.deb (click to toggle)
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control file for libtorch1.6_1.6.0-1_amd64.deb (click to toggle)
Package:libtorch1.6
Source:pytorch
Version:1.6.0-1
Architecture:amd64
Maintainer:Debian Deep Learning Team <debian-science-maintainers@lists.alioth.debian.org>
Installed-Size:79471
Depends:libavcodec58 (>=7:4.0), libavformat58 (>=7:4.1), libavutil56 (>=7:4.0), libc6 (>=2.30), libcpuinfo0 (>=0.0~git20181113.3bf2c72), 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)
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_1.6.0-1_amd64.deb (click to toggle)
contents of libtorch1.6_1.6.0-1_amd64.deb (click to toggle)
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lrwxrwxrwx root/root         0 2020-08-31 11:41 ./usr/lib/x86_64-linux-gnu/libcaffe2_detectron_ops.so.1.6 -> libcaffe2_detectron_ops.so.1.6.0
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lrwxrwxrwx root/root         0 2020-08-31 11:41 ./usr/lib/x86_64-linux-gnu/libshm.so.1.6 -> libshm.so.1.6.0
lrwxrwxrwx root/root         0 2020-08-31 11:41 ./usr/lib/x86_64-linux-gnu/libtorch.so.1.6 -> libtorch.so.1.6.0
lrwxrwxrwx root/root         0 2020-08-31 11:41 ./usr/lib/x86_64-linux-gnu/libtorch_cpu.so.1.6 -> libtorch_cpu.so.1.6.0
lrwxrwxrwx root/root         0 2020-08-31 11:41 ./usr/lib/x86_64-linux-gnu/libtorch_global_deps.so.1.6 -> libtorch_global_deps.so.1.6.0
lrwxrwxrwx root/root         0 2020-08-31 11:41 ./usr/lib/x86_64-linux-gnu/libtorch_python.so.1.6 -> libtorch_python.so.1.6.0
control file for libtorch1.6-dbgsym_1.6.0-1_amd64.deb (click to toggle)
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lrwxrwxrwx root/root         0 2020-08-31 11:41 ./usr/share/doc/libtorch1.6-dbgsym -> libtorch1.6
control file for python3-torch_1.6.0-1_amd64.deb (click to toggle)
Package:python3-torch
Source:pytorch
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Depends:libtorch1.6 (=1.6.0-1), 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), libgcc-s1 (>=3.0), libgoogle-glog0v5, libonnx1 (>=1.7.0+dfsg), libprotobuf23 (>=3.12.3), libstdc++6 (>=9)
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Description:
Tensors and Dynamic neural networks in Python with strong GPU acceleration
 PyTorch is a Python package that provides two high-level features:
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lintian 2.90.0~bpo10+1 check for python3-torch_1.6.0-1_amd64.deb (click to toggle)
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W: python3-torch: breakout-link usr/lib/python3/dist-packages/torch/lib/libc10.so -> usr/lib/x86_64-linux-gnu/libc10.so.1.6
W: 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
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W: 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
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