code: def apply(self, logits: Tensor, tokens: Tensor):
      if tokens.shape[1] == self.sample_begin:
          logits[
              :, self.tokenizer.encode(" ") + [self.tokenizer.eot]
          ] = -np.inf
  
imports: from dataclasses import dataclass, field, replace
  from typing import TYPE_CHECKING, Dict, Iterable, List, Optional, Sequence, Tuple, Union
  import numpy
  import torch
  import torch.nn.functional
  from torch import Tensor
  from torch.distributions import Categorical
  from .audio import CHUNK_LENGTH
  from .tokenizer import Tokenizer, get_tokenizer
  from .utils import compression_ratio
label_desc: Use image node_id 2 for calling the SuppressBlank obj's underlying member method code with example usage: obj.apply(logits, tokens) without return types