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[Feature] support rl_tp_degree (#3934)
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Browse Source 
* [Feature] support rl_tp_degree

* add rl_tp_degree in lmhead

* add rl_tp_degree in bias

* fix split_axis=0 in bias

* fix split_axis in weight

* fix bias rl_tp_degree

* fix bias rl_tp_degree

* change attr to dict

---------

Co-authored-by: Jiang-Jia-Jun <163579578+Jiang-Jia-Jun@users.noreply.github.com>
This commit is contained in:
lizhenyun01
2025-09-08 16:20:32 +08:00
committed by GitHub
parent fa2369271d
commit d40a1046de
3 changed files with 31 additions and 1 deletions
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9
fastdeploy/model_executor/layers/lm_head.py
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@@ -94,6 +94,12 @@ class ParallelLMHead(nn.Layer):
"model_format": self.fd_config.model_config.model_format,
},
)
if self.bias_key is not None:
set_weight_attrs(
self.linear.bias,
{"rl_need_attr": {"rl_tp_degree": fd_config.parallel_config.tensor_parallel_size}},
)
if self.nranks > 1:
set_weight_attrs(self.linear.weight, {"output_dim": True})
else:
@@ -116,6 +122,9 @@ class ParallelLMHead(nn.Layer):
if self.nranks > 1:
set_weight_attrs(self.linear.weight, {"output_dim": False})
set_weight_attrs(
self.linear.weight, {"rl_need_attr": {"rl_tp_degree": fd_config.parallel_config.tensor_parallel_size}}
)
def load_state_dict(self, state_dict: Dict[str, paddle.Tensor | np.ndarray]):
"""