去年编辑的一个帖子。摆了一段时间后重新回归，发送一下作为状态分界线。

很癫狂的体验，man，what can i say！
issue查看我的狗急跳墙状态

1.确定版本

• cuda

nvcc -V

• python

python --version

• torch

pip show torch

2.下载对应版本wheel

• 1. causal-conv1d：https://github.com/Dao-AILab/causal-conv1d/releases/tag/v1.1.1
• 2. mamba_ssm: https://github.com/state-spaces/mamba/releases/tag/v1.1.1
     
     下载abiFALSE的whl

3.安装与测试

cd 进whl所在文件夹后pip
装好后运行测试代码

import torch
from mamba_ssm import Mamba

batch, length, dim = 2, 64, 16
x = torch.randn(batch, length, dim).to("cuda")
model = Mamba(
    # This module uses roughly 3 * expand * d_model^2 parameters
    d_model=dim, # Model dimension d_model
    d_state=16,  # SSM state expansion factor
    d_conv=4,    # Local convolution width
    expand=2,    # Block expansion factor
).to("cuda")
y = model(x)
assert y.shape == x.shape