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[ Source: pytorch-cuda ]
Package: libtorch-cuda-test (2.4.1-4) [contrib]
Links for libtorch-cuda-test
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Download Source Package pytorch-cuda:
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External Resources:
- Homepage [pytorch.org]
Similar packages:
Tensors and Dynamic neural networks in Python (Test Binaries)
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 CUDA version of PyTorch (Test Binaries).
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- dep: libbenchmark1.8.3 (>= 1.8.3)
- Microbenchmark support library, shared library
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- dep: libc6 (>= 2.38)
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also a virtual package provided by libc6-udeb
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- dep: libcudart12
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- dep: libgcc-s1 (>= 3.0)
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- dep: libtorch-cuda-2.4 (= 2.4.1-4)
- Tensors and Dynamic neural networks in Python (Shared Objects)
Download libtorch-cuda-test
| Architecture | Package Size | Installed Size | Files |
|---|---|---|---|
| ppc64el | 7,496.4 kB | 80,933.0 kB | [list of files] |