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 
in_channels = 64
        out_channels = 128
        scale_factor = 8
        batch_size = 8
        length = 16
        conv = torch.nn.ConvTranspose1d(
            in_channels, out_channels, kernel_size=scale_factor * 2, stride=scale_factor).to(d)
        layer_norm = torch.nn.LayerNorm(out_channels).to(d)
        input_ = torch.randn(batch_size, in_channels, length).to(d).contiguous()
        input_ = conv(input_).contiguous()
        input_ = layer_norm(input_.transpose(1, 2).contiguous()).contiguous()
        input_.sum().backward()
        
        conv = torch.nn.ConvTranspose3d(3, 3, kernel_size=3).to(d)
        input = torch.randn(batch_size, 3, length, length, length, d=d)
        out = conv(input)
        out.backward(torch.ones_like(out).transpose(-2, -1))
    
    @onlyCUDA
    @largeTensorTest('12GB')
    def test_conv_transposed_large(self, d):