Merge pull request #116 from pamparamm/pooled_none_check
Partially resolve #115
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@@ -117,7 +117,7 @@ def down_weight(tokens, weights, word_ids, base_emb, pooled_base, max_length, en
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w_mix = torch.tensor(w_mix, dtype=embs.dtype, device=embs.device).reshape((-1, 1, 1))
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weighted_emb = (w_mix * embs).sum(axis=0, keepdim=True)
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if pooled and max_length:
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if pooled is not None and max_length:
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pooled = weighted_emb[0, max_length - 1 : max_length, :]
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return weighted_emb, masked_current, pooled
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