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[Feature] support pool (#3827)

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* support pool

* update pooling

* add pooler_config and check

* update

* support AutoWeightsLoader load weight

* fix

* update

* delete print

* update pre-commit

* fix

* fix xpu

* fix ModelRegistry->model_registry

* fix Copilot review

* fix pooler.py

* delete StepPooler

* fix abstract

* fix default_loader_v1

* fix Pre Commit

* support torch qwen3 dense

* add test and fix torch-qwen

* fix

* fix

* adapter ci:

* fix review

* fix pooling_params.py

* fix

* fix tasks.py 2025

* fix print and logger

* Modefy ModelRegistry and delete AutoWeightsLoader

* fix logger

* fix test_embedding

* fix ci bug

* ernie4_5 model_registry

* fix test

* support Qwen3-Embedding-0.6B tp=1 load

* fix extra code

* fix

* delete fix vocab_size

* delete prepare_params_dict

* fix:
This commit is contained in:
lizexu123
2025-09-22 14:09:09 +08:00
committed by GitHub
parent da74a5f0b3
commit c86945ef49
36 changed files with 2371 additions and 51 deletions
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23
fastdeploy/model_executor/layers/activation.py
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@@ -146,3 +146,26 @@ class SiluAndMul(nn.Layer):
if self.bias is not None:
out = out + self.bias
return out
def get_act_fn(act_fn_name: str) -> nn.Layer:
"""Get an activation function by name."""
act_fn_name = act_fn_name.lower()
if act_fn_name.startswith("paddle.nn.Layer"):
activation_name = act_fn_name.split(".")[-1]
if activation_name == "identity":
return nn.Identity()
act_fn_name = activation_name
activation_map = {
"gelu": nn.GELU(),
"relu": nn.ReLU(),
"silu": nn.Silu(),
"tanh": nn.Tanh(),
"sigmoid": nn.Sigmoid(),
}
if act_fn_name in activation_map:
return activation_map[act_fn_name]
else:
raise ValueError(f"Activation function {act_fn_name!r} is not supported.")