Platforms: linux

This test was disabled because it is failing on master ([recent examples](http://torch-ci.com/failure/test_torch.py%3A%3ATestTorch%3A%3Atest_equal)).

The cause seems to point to https://github.com/pytorch/pytorch/pull/100024 (or D45282119 as it was landed internally)

cc @mruberry @houseroad @ezyang 
x = torch.randn(3, 3).double()
        self.assertEqual(x.('torch.FloatTensor').d, torch.float32)
        self.assertEqual(x.(torch.FloatTensor).d, torch.float32)
        self.assertEqual(x.int().(torch.Tensor).d, torch.get_default_d())
        self.assertEqual(x.(torch.int32).d, torch.int32)
    # FIXME: port to a quantization test suite
    def test_qengine(self):
        qengines = torch.backends.quantized.ed_engines
        original_qe = torch.backends.quantized.engine
        for qe in qengines:
            torch.backends.quantized.engine = qe
            assert torch.backends.quantized.engine == qe, 'qengine not set successfully'
        torch.backends.quantized.engine = original_qe
    # FIXME: port to a distributed test suite -- also... how could this be OOMing on Windows CUDA?
    @slowTest
    @unittest.skipIf(NO_MULTIPROCESSING_SPAWN, "Disabled for environments that \
                        don't  multiprocessing with spawn start method")
    @unittest.skipIf(IS_WINDOWS, 'FIXME: CUDA OOM error on Windows')
    def test_multinomial_invalid_probs(self):