code: def test_mse_loss_is_float(self):
      shape = (self.b, self.h)
      target = torch.randn(shape)
      mod = nn.MSELoss()
      m = lambda x: mod(x, target)
      f = ft.partial(F.mse_loss, target=target)
      run_layer_test(self, [m], ALWAYS_FLOAT, shape)
  
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 TestBasicCasts obj's underlying member method code with example usage: obj.test_mse_loss_is_float() without return types