code: def test_cpu_is_float(self):
      fn = lambda x: x.cpu()
      always_cpu_float = {
          torch.float: "torch.FloatTensor",
          torch.half: "torch.FloatTensor",
      }
      run_layer_test(self, [fn], always_cpu_float, (self.b, self.h))
  
imports: import unittest
  import functools
  import itertools
  from apex import amp
  import torch
  from torch import nn
  import torch.nn.functional
  from utils import common_init, HALF, FLOAT, ALWAYS_HALF, ALWAYS_FLOAT, MATCH_INPUT
label_desc: Use image node_id 7 for calling the TestTensorCasts obj's underlying member method code with example usage: obj.test_cpu_is_float() without return types