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Bump to v2.0.4
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.github/workflows/publish.yaml

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# manylinux docker image, but I haven't figured out how to install CUDA on manylinux.
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os: [ubuntu-20.04]
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python-version: ['3.7', '3.8', '3.9', '3.10', '3.11', '3.12']
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torch-version: ['1.12.1', '1.13.1', '2.0.1', '2.1.2', '2.2.2', '2.3.0', '2.4.0.dev20240407']
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torch-version: ['1.12.1', '1.13.1', '2.0.1', '2.1.2', '2.2.2', '2.3.0', '2.4.0.dev20240413']
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cuda-version: ['11.8.0', '12.2.2']
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# We need separate wheels that either uses C++11 ABI (-D_GLIBCXX_USE_CXX11_ABI) or not.
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# Pytorch wheels currently don't use it, but nvcr images have Pytorch compiled with C++11 ABI.
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python-version: '3.7'
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- torch-version: '2.3.0'
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python-version: '3.7'
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- torch-version: '2.4.0.dev20240407'
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- torch-version: '2.4.0.dev20240413'
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python-version: '3.7'
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# Pytorch <= 2.0 only supports CUDA <= 11.8
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- torch-version: '1.12.1'

mamba_ssm/__init__.py

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__version__ = "2.0.3"
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__version__ = "2.0.4"
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from mamba_ssm.ops.selective_scan_interface import selective_scan_fn, mamba_inner_fn
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from mamba_ssm.modules.mamba_simple import Mamba

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