Shanlin Sun Siwensun
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| import numpy as np | |
| def get_len_mask(batch_size, seq_len): | |
| """Create attention mask (simplified for ViT where all patches are attended to)""" | |
| # In ViT, typically all patches are attended to (no padding) | |
| return np.zeros((batch_size, seq_len, seq_len), dtype=bool) | |
| def pos_sinusoid_embedding(seq_len, d_model): |
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| import numpy as np | |
| def get_len_mask(batch_size, max_len, feat_lens): | |
| """Create padding mask""" | |
| attn_mask = np.ones((batch_size, max_len, max_len)) | |
| for i in range(batch_size): | |
| attn_mask[i, :, :feat_lens[i]] = 0 | |
| return attn_mask.astype(bool) |