Expand quantized data type support for tensor parallelism 
Author: amd-xiaoyu12
Pull request: yes

# What does this PR do?
Update the tensor parallel for support generic quantized tensor with data type like int8 and scalar tensor.

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Fixes # (issue)
- [#37720]
[rank0]: File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/integrations/tensor_parallel.py", line 658, in shard_and_distribute_module
[rank0]: param = tp_layer.partition_tensor(
[rank0]: File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/integrations/tensor_parallel.py", line 385, in partition_tensor
[rank0]: return nn.Parameter(parameter) #, requires_grad=False)
[rank0]: File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parameter.py", line 49, in new
[rank0]: t = data.detach().requires_grad_(requires_grad)
[rank0]: RuntimeError: only Tensors of floating point dtype can require gradients

- 0-dim tensor not support [:]
Get the scaler value of a 0-dim PySafeSlice [#380]


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