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Question about the input dimension 225 in rl_seatch.py #11

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RYC-98 opened this issue Jan 15, 2025 · 0 comments

RYC-98 commented Jan 15, 2025

Thank you for your work! I'm confused about why self.embedding_list[0] has an input dimension of 225 and why the weights are not updated.

In rl_search.py,

def _stable_first_embedding(self):
    target = self.embedding_list[0]  # (0): Embedding(225, 30)
    for param in target.parameters():
        param.requires_grad = False

Could you explain the rationale behind this?

The text was updated successfully, but these errors were encountered:

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