replicate kv for some models when tp is divisble by kv_head_num #2874
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lvhan028
approved these changes
Dec 13, 2024
lzhangzz
reviewed
Dec 17, 2024
lmdeploy/turbomind/deploy/module.py
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| def _repeat_kv(self, qkvo, kind: str): | ||
| """replicate kv.""" | ||
| q, k, v, o = qkvo | ||
| head_dim = self.model.model_config.size_per_head | ||
| hidden_dim = self.model.model_config.hidden_units | ||
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| def _repeat(x): | ||
| dim = hidden_dim if kind != 'bias' else 1 | ||
| x = x.view(-1, head_dim, dim).repeat(1, self.model.repeat_kv, 1) | ||
| x = x.reshape(-1, dim) | ||
| return x | ||
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| k, v = map(_repeat, (k, v)) | ||
| if kind == 'bias': | ||
| if o is None: | ||
| o = torch.zeros(hidden_dim, dtype=q.dtype, device=q.device) | ||
| q, k, v, o = map(torch.squeeze, (q, k, v, o)) | ||
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| return (q, k, v, o) | ||
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In this file, all layout adjustment is performed on the transposed weight ([input_dim, output_dim]), please keep it consistent.
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