code: def alpha_cosine_log_snr(t, s: float = 0.008):
      return -log(
          (torch.cos((t + s) / (1 + s) * math.pi * 0.5) ** -2) - 1,
          eps=1e-5,
      )
  
imports: import math
  from functools import partial, wraps
  import torch
  import torch.nn
  from einops import repeat
  from torch.special import expm1
  from nemo.collections.multimodal.parts.utils import randn_like
label_desc: Use image node_id 7 for calling a global function with example usage: alpha_cosine_log_snr(t, s) and returns: unknown