[Code scan] Fix none embedding constructor and node output property

This issue is part of a Codex global repository scan.

Problem:
The `Embedding(method="none")` implementation calls `torch.nn.Module.__init__` with extra arguments. It also exposes `out_note_dim` instead of `out_node_dim`, while `NNENV` reads `self.embedding.out_node_dim` when building SKTB prediction layers.

Code references:
https://github.com/deepmodeling/deeptb/blob/86c60c73996f0dd961c3138f2e88424382cb734e/dptb/nn/embedding/identity.py#L8-L24
https://github.com/deepmodeling/deeptb/blob/86c60c73996f0dd961c3138f2e88424382cb734e/dptb/nn/deeptb.py#L131-L143

Impact:
The `none` embedding path fails during model construction, and would still fail later with `AttributeError` even after the constructor is fixed.

Suggested fix:
Call `super().__init__()` without extra arguments and rename/add the property as `out_node_dim`.

Read dptb/nn/embedding/identity.py and dptb/nn/deeptb.py at the referenced sections, then trace the none embedding path during model construction. Done means that path constructs successfully and NNENV can read the node output dimension when building SKTB prediction layers.

Written by the indexing model from the issue text.