code: def extract_sequences(x, sequence_length, sequence_stride):
      x = convert_to_tensor(x)
      return torch.unfold_copy(
          x, dimension=-1, size=sequence_length, step=sequence_stride
      )
  
imports: import math
  import torch
  from keras.backend import standardize_dtype
  from keras.backend.torch.core import convert_to_tensor
  from keras.backend.torch.core import get_device
  from keras.backend.torch.numpy import pad
label_desc: Use image node_id 7 for calling a global function with example usage: extract_sequences(x, sequence_length, sequence_stride) and returns: torch