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python314-torchao-0.18.0-1.1 RPM for noarch

From OpenSuSE Tumbleweed for noarch

Name: python314-torchao Distribution: openSUSE Tumbleweed
Version: 0.18.0 Vendor: openSUSE
Release: 1.1 Build date: Mon Aug 24 20:03:54 2026
Group: Unspecified Build host: reproducible
Size: 14676229 Source RPM: python-torchao-0.18.0-1.1.src.rpm
Packager: https://bugs.opensuse.org
Url: https://github.com/pytorch/ao
Summary: PyTorch native quantization and sparsity
 
TorchAO is a PyTorch-native library for quantization and sparsity of
model weights and activations, for both training and inference. It
integrates with torch.compile and FSDP2. This package is the CPU,
pure-Python build (no CUDA kernels).

Provides

Requires

License

Apache-2.0 AND BSD-3-Clause

Changelog

* Mon Aug 24 2026 Martin Pluskal <mpluskal@suse.com>
  - Update to 0.18.0:
    * Minimum supported PyTorch is now 2.11; support for older
      releases was removed from the code
    * Removed the deprecated v1 tensor-subclass and layout system
      (AffineQuantizedTensor, AQTTensorImpl, Layout, PlainLayout,
      TensorCoreTiledLayout, LinearActivationQuantizedTensor and
      friends), completing the migration to v2 tensor subclasses
    * Renamed Int4WeightOnlyOpaqueTensorConfig to
      PrototypeInt4WeightOnlyConfig and moved NF4Tensor to
      torchao.quantization.quantize_.workflows
    * New prototype NVFP4 training support for dense linears
    * Added MXFP8Linear plus blockwise FP8 MoE support
    * Float8 softmax quantization now uses a fixed scale instead of
      an observer
    * Building under a free-threaded (no-GIL) interpreter is now
      supported
    * Fixed Python 3.14 compatibility of quantization/pt2e
    * Numerous QAT, sparsity and pruning fixes
  - Require python-torch >= 2.11 to match the new upstream floor
* Fri Aug 21 2026 Martin Pluskal <mpluskal@suse.com>
  - Initial package of python-torchao 0.17.0: PyTorch-native
    quantization and sparsity for training and inference,
    pinned by SGLang 0.5.17 CPU. Built from the GitHub v0.17.0
    tag (PyPI ships wheels only). CPU-only, USE_CPP=0 (no CUDA).

Files

/usr/lib/python3.14/site-packages/torchao
/usr/lib/python3.14/site-packages/torchao-0.18.0.dist-info
/usr/lib/python3.14/site-packages/torchao-0.18.0.dist-info/INSTALLER
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/usr/lib/python3.14/site-packages/torchao-0.18.0.dist-info/RECORD
/usr/lib/python3.14/site-packages/torchao-0.18.0.dist-info/REQUESTED
/usr/lib/python3.14/site-packages/torchao-0.18.0.dist-info/WHEEL
/usr/lib/python3.14/site-packages/torchao-0.18.0.dist-info/licenses
/usr/lib/python3.14/site-packages/torchao-0.18.0.dist-info/licenses/LICENSE
/usr/lib/python3.14/site-packages/torchao-0.18.0.dist-info/top_level.txt
/usr/lib/python3.14/site-packages/torchao/__init__.py
/usr/lib/python3.14/site-packages/torchao/__pycache__
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