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 
from copy import copy
        for dt in all_s_and_complex_and(torch.half, torch.bool, torch.bfloat16):
            x = torch.tensor([1, 2, 3, 4], d=dt, d=d)
            x_clone = x.clone()
            y = copy(x)
            y.fill_(1)
            
            
            self.assertEqual(x, y)
    @onlyCPU
    def test_bfloat16_float_copy(self, d):
        for shape in [(20, 7), (249, 137), (1029, 917), (1, 7, 19, 17), (3, 77, 1091)]:
            input = torch.randn(shape, d=torch.float, d=d)
            out1 = input.to(torch.bfloat16)
            self.assertEqual(input, out1, atol=0, rtol=1e-2, exact_d=False)
            out2 = out1.to(torch.float)
            self.assertEqual(out2, out1, atol=0, rtol=0, exact_d=False)
            input_s = input[..., ::2, :]
            out1 = input_s.to(torch.bfloat16)
            self.assertEqual(input_s, out1, atol=0, rtol=1e-2, exact_d=False)
            out2 = out1.to(torch.float)
            self.assertEqual(out2, out1, atol=0, rtol=0, exact_d=False)
    
    @onlyNatDTypes
    def test_copy_math_view(self, d):