-
Couldn't load subscription status.
- Fork 354
Open
Description
Latest 0.14.1 cuda builds does produce wheels for 3.13t which is the nogil build of Python.
On Ubuntu 24.04 x86_64
# pip install torchao==0.14.1 --index-url https://download.pytorch.org/whl/cu130 -U
Looking in indexes: https://download.pytorch.org/whl/cu130
ERROR: Could not find a version that satisfies the requirement torchao==0.14.1 (from versions: none)
ERROR: No matching distribution found for torchao==0.14.1
# python --version
Python 3.13.8
# python --version
Python 3.13.8
# pip show torch
Name: torch
Version: 2.9.0+cu130
Summary: Tensors and Dynamic neural networks in Python with strong GPU acceleration
Home-page: https://pytorch.org
Author:
Author-email: PyTorch Team <packages@pytorch.org>
License: BSD-3-Clause
Location: /root/vm313t/lib/python3.13t/site-packages
Requires: filelock, fsspec, jinja2, networkx, nvidia-cublas, nvidia-cuda-cupti, nvidia-cuda-nvrtc, nvidia-cuda-runtime, nvidia-cudnn-cu13, nvidia-cufft, nvidia-cufile, nvidia-curand, nvidia-cusolver, nvidia-cusparse, nvidia-cusparselt-cu13, nvidia-nccl-cu13, nvidia-nvjitlink, nvidia-nvshmem-cu13, nvidia-nvtx, setuptools, sympy, triton, typing-extensions
Required-by: accelerate, bitblas, causal_conv1d, flash_attn, GPTQModel, lm_eval, MemLord, peft, torchvisionReported here
#2919 (comment)
And reproduced by another user here:
#2919 (comment)
Metadata
Metadata
Assignees
Labels
No labels