Mamba环境配置-（Ubuntu）

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 print('!!!!!') import torch from mamba_ssm import Mamba2 dim = 512 x = torch.randn(batch, length, dim).to("cuda") model = Mamba2( # This module uses roughly 3 * expand * d_model^2 parameters d_model=dim, # Model dimension d_model d_state=64, # SSM state expansion factor, typically 64 or 128 d_conv=4, # Local convolution width expand=2, # Block expansion factor ).to("cuda") y = model(x) assert y.shape == x.shape print('!!!!!')