procenv src 495cc28f41953d45e8628feba815f346f69568d7688a986054427aee69a3696c Utility to show process environment This package contains a command-line tool that displays as much detail about itself and its environment as possible. It can be used as a test tool, to understand the type of environment a process runs in, and for comparing system environments. https://github.com/jamesodhunt/procenv procenv src f25f97637fb33607d6aaa2fa5490c75c98427407fb7cf3962e2a82e8494b6714 Utility to show process environment This package contains a command-line tool that displays as much detail about itself and its environment as possible. It can be used as a test tool, to understand the type of environment a process runs in, and for comparing system environments. https://github.com/jamesodhunt/procenv procenv src 9afdb9cf2c280a92c6e39b652680055216b1df8f814075a84c39d0a3ae5d6a15 Utility to show process environment This package contains a command-line tool that displays as much detail about itself and its environment as possible. It can be used as a test tool, to understand the type of environment a process runs in, and for comparing system environments. https://github.com/jamesodhunt/procenv procenv x86_64 ed40f44b41d35bb4901b0afe2a8fc6076c54d64a7d9bc488df2efb1312a0f46c Utility to show process environment This package contains a command-line tool that displays as much detail about itself and its environment as possible. It can be used as a test tool, to understand the type of environment a process runs in, and for comparing system environments. https://github.com/jamesodhunt/procenv procenv x86_64 0a8c28e1d40d5e55c67c8104ebf96a6708a4f2cb4fcc3ffc8e77ebfbf08460be Utility to show process environment This package contains a command-line tool that displays as much detail about itself and its environment as possible. It can be used as a test tool, to understand the type of environment a process runs in, and for comparing system environments. https://github.com/jamesodhunt/procenv procenv x86_64 3116810aceb4cfbe0f2ebb41128c1cc36ff733269b8bfa899ba81e7db12e0d7f Utility to show process environment This package contains a command-line tool that displays as much detail about itself and its environment as possible. It can be used as a test tool, to understand the type of environment a process runs in, and for comparing system environments. https://github.com/jamesodhunt/procenv procenv-debuginfo x86_64 8bb93eb498a6581f956a761f6edcfbf945cc73f9cf401659a433f9f8657cb1a5 Debug information for package procenv This package provides debug information for package procenv. Debug information is useful when developing applications that use this package or when debugging this package. https://github.com/jamesodhunt/procenv procenv-debuginfo x86_64 78bbde4fc97312685f431c6a516005acb42c748072f7ff1c1a4d6f1c1c85d867 Debug information for package procenv This package provides debug information for package procenv. Debug information is useful when developing applications that use this package or when debugging this package. https://github.com/jamesodhunt/procenv procenv-debuginfo x86_64 91817978921b6ee5382ff9b07c4e76eec11102d60b570600ced900e67cf13df2 Debug information for package procenv This package provides debug information for package procenv. Debug information is useful when developing applications that use this package or when debugging this package. https://github.com/jamesodhunt/procenv procenv-debugsource x86_64 a806a15a0dff2175b3492b83923b805cde9052bc4435e41afe0649422a7ce7fd Debug sources for package procenv This package provides debug sources for package procenv. Debug sources are useful when developing applications that use this package or when debugging this package. https://github.com/jamesodhunt/procenv procenv-debugsource x86_64 c865180b8893ea3e8dcfc60ac05651a2a8113902baf1496f8783010b110dbe4d Debug sources for package procenv This package provides debug sources for package procenv. Debug sources are useful when developing applications that use this package or when debugging this package. https://github.com/jamesodhunt/procenv procenv-debugsource x86_64 3ac9676aa844003620d4d2bb4f854a841a4e6d8d789ec723223d312109646e39 Debug sources for package procenv This package provides debug sources for package procenv. Debug sources are useful when developing applications that use this package or when debugging this package. https://github.com/jamesodhunt/procenv python3-pytorch x86_64 abceb3b0c647284b14d9ecdb5f3ea1ffcbd918bcd0f435212d63729b1181c60e Tensors and Dynamic neural networks in Python with strong GPU acceleration PyTorch is a Python package that provides two high-level features: - Tensor computation (like NumPy) with strong GPU acceleration - 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. https://pytorch.org/ pytorch src 69ccf79f46eae431eeeb56d220b265e3ca5a7776df6b9429bd06212e3cea56a3 Tensors and Dynamic neural networks in Python with strong GPU acceleration PyTorch is a Python package that provides two high-level features: - Tensor computation (like NumPy) with strong GPU acceleration - 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. https://pytorch.org/ pytorch-debuginfo x86_64 c823b050d783f0e33eb9941b4005f831804e324399b4939172e70933b5b53dce Debug information for package pytorch This package provides debug information for package pytorch. Debug information is useful when developing applications that use this package or when debugging this package. https://pytorch.org/ pytorch-debugsource x86_64 b40105c54c9e7025db72fffc110a98f0827f9588e3b6c78a17a1bce5a345a743 Debug sources for package pytorch This package provides debug sources for package pytorch. Debug sources are useful when developing applications that use this package or when debugging this package. https://pytorch.org/ pytorch-help x86_64 a14a8c03b84433747e3f112129a176cd1fc87a657ea16be99471f3f903d5d3b7 Development documents and examples for torch PyTorch is a Python package that provides two high-level features: - Tensor computation (like NumPy) with strong GPU acceleration - 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. https://pytorch.org/