docstr: Test behavior with a Sequence input
docstr_tok: ["Test","behavior","with","a","Sequence","input"]
code: def test_get_tensor_size_bytes_map_with_sequence_input(self) -> None:
      """Test behavior with a Sequence input"""
  
      inputs = [torch.rand(3, 2, 1), torch.rand(9, 8, 7)]
      tensor_map = get_tensor_size_bytes_map(inputs)
      self.assertEqual(len(tensor_map), 2)
      self.assertTrue(inputs[0] in tensor_map)
      self.assertEqual(
          tensor_map[inputs[0]],
          inputs[0].size().numel() * inputs[0].element_size(),
      )
      self.assertTrue(inputs[1] in tensor_map)
      self.assertEqual(
          tensor_map[inputs[1]],
          inputs[1].size().numel() * inputs[1].element_size(),
      )
  
imports: import time
  import unittest
  from collections import deque, namedtuple
  from dataclasses import dataclass
  from typing import cast, Deque, List
  import torch
  from torchtnt.utils.memory import get_tensor_size_bytes_map, measure_rss_deltas, RSSProfiler
label_desc: Use image node_id 4 for calling the MemoryTest obj's underlying member method code with example usage: obj.test_get_tensor_size_bytes_map_with_sequence_input() without return types