Add support for torch.set_default_device when initializing model parameters

[fshp971]

What does this PR do?

Replace torch.Tensor with torch.empty when initializing model parameters.

The reason is that torch.empty is compatible with torch.set_default_device (but torch.Tensor is not), thus enable one to efficiently initialize a large ML model with specified GPUs.

(An example is that initialize a Llama2 model with the default torch.nn.init.xavier_normal_ method is extremely slow on CPUs, but very fast on GPUs.)

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• Did you write any new necessary tests?
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