code: def _release_tensor(self, tensor_id):
      assert (
          tensor_id in self.tensor_addresses
      ), f"Tensor id {tensor_id} not found"
  
      address = self.tensor_addresses[tensor_id]
      contiguous_size = self.tensor_map[tensor_id].numel()
  
      del self.tensor_addresses[tensor_id]
      del self.tensor_ids[address]
      del self.tensor_map[tensor_id]
      del self.tensor_sizes[address]
  
      self._consolidate_address(address, contiguous_size)
      self.largest_contiguous = self._largest_contiguous()
  
imports: import torch
  from deepspeed import comm
label_desc: Use image node_id 10 for calling the ContiguousMemoryAllocator obj's underlying member method code with example usage: obj._release_tensor(tensor_id) without return types