mirror of
https://github.com/PaddlePaddle/FastDeploy.git
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c86945ef49
* 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:
70 lines
2.1 KiB
Python
70 lines
2.1 KiB
Python
"""
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# Copyright (c) 2025 PaddlePaddle Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License"
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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"""
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from typing import Any
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import msgspec
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import paddle
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class PoolingSequenceGroupOutput(
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msgspec.Struct,
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omit_defaults=True,
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array_like=True,
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):
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"""The model output associated with a pooling sequence group."""
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# Annotated as Any to be compatible with msgspec
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# The actual type is in SequenceGroup.pooled_data
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data: Any
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def get_data_nbytes(self) -> int:
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if isinstance(self.data, paddle.Tensor):
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return self.data.numel() * self.data.element_size()
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elif hasattr(self.data, "nbytes"):
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return self.data.nbytes
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else:
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return 0
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def __repr__(self) -> str:
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return f"PoolingSequenceGroupOutput(data={self.data}"
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def __eq__(self, other: object) -> bool:
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if not isinstance(other, PoolingSequenceGroupOutput):
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raise NotImplementedError()
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return self.data == other.data
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class PoolerOutput(msgspec.Struct, omit_defaults=True, array_like=True):
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"""The output from a pooling operation in the pooling model."""
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outputs: list[PoolingSequenceGroupOutput]
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def get_data_nbytes(self) -> int:
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return sum(o.get_data_nbytes() for o in self.outputs)
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def __getitem__(self, idx: int) -> PoolingSequenceGroupOutput:
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return self.outputs[idx]
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def __setitem__(self, idx: int, value: PoolingSequenceGroupOutput):
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self.outputs[idx] = value
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def __len__(self):
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return len(self.outputs)
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def __eq__(self, other: object):
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return isinstance(other, self.__class__) and self.outputs == other.outputs
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