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https://github.com/PaddlePaddle/FastDeploy.git
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Zero Rains
72bf3dbdfd
* [KSM] support keep sampling mask * Remove Comments * remove logz_per_batch * fix the description and checking
53 lines
1.5 KiB
Python
53 lines
1.5 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 dataclasses import dataclass
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from enum import Enum
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from typing import Optional
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import numpy as np
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from fastdeploy.worker.output import LogprobsTensors
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class DecoderState(Enum):
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"""DecoderState"""
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TEXT = "text"
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IMAGE = "image"
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VIDEO = "video"
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AUDIO = "audio"
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@dataclass
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class StreamTransferData:
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"""StreamTransferData"""
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decoder_state: DecoderState
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batch_id: int
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tokens: Optional[np.array] = None
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speculaive_decoding: bool = False
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logprobs: Optional[LogprobsTensors] = None
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prompt_logprobs: Optional[LogprobsTensors] = None
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accept_tokens: Optional[np.array] = None
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accept_num: Optional[np.array] = None
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# [num_reqs, hidden_size]
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pooler_output: Optional[np.array] = None
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# 1-D int32 numpy array of vocab indices retained by top_p/top_k for
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# this request. Sparse format: only retained positions, not a dense
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# vocab-sized bool mask.
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sampling_mask: Optional[np.array] = None
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