add strong typing fix

[lanluo-nvidia]

Description

Add strong type support:

1. ITensor dynamic_range is deprecated since TRT10.1
   we should not use dynamic_range to implicit the INT8 quantization.
   We should only do explicit int8 quantization via modelopt.
   ref:
   https://docs.nvidia.com/deeplearning/tensorrt/latest/_static/python-api/infer/Graph/LayerBase.html#tensorrt.ITensor
   In this PR, I only removed the implicit int8 quantization for the dynamo path, torchscript path is not being removed.

2. torch.ops.aten.atan2.default
   if input tensor shape is torch.half, output shape should be torch.half, but we specifically added a cast to torch.float32
   Please let me know if it is for some historical reasons
   https://github.com/pytorch/TensorRT/blob/main/py/torch_tensorrt/dynamo/conversion/impl/elementwise/ops.py#L255-L258

3. torch.embedding_bag
   we have specidifically added a cast to torch.float32, please let me know if it is for some historical reasons?
   https://github.com/pytorch/TensorRT/blob/main/py/torch_tensorrt/dynamo/conversion/impl/embedding.py#L368

Fixes # (issue)

Type of change

Please delete options that are not relevant and/or add your own.

• Bug fix (non-breaking change which fixes an issue)
• New feature (non-breaking change which adds functionality)
• Breaking change (fix or feature that would cause existing functionality to not work as expected)
• This change requires a documentation update

Checklist:

• My code follows the style guidelines of this project (You can use the linters)
• I have performed a self-review of my own code
• I have commented my code, particularly in hard-to-understand areas and hacks
• I have made corresponding changes to the documentation
• I have added tests to verify my fix or my feature
• New and existing unit tests pass locally with my changes
• I have added the relevant labels to my PR in so that relevant reviewers are notified