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https://github.com/NVIDIA/TensorRT-LLM.git
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43 lines
1.6 KiB
Python
43 lines
1.6 KiB
Python
# SPDX-FileCopyrightText: Copyright (c) 2024 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
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# SPDX-License-Identifier: Apache-2.0
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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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from ..llama.config import LLaMAConfig
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class EagleConfig(LLaMAConfig):
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def __init__(self,
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*,
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num_eagle_layers: int = 1,
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max_draft_len: int = 63,
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max_non_leaves_per_layer: int = 10,
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**kwargs):
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self.num_eagle_layers = num_eagle_layers
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self.max_non_leaves_per_layer = max_non_leaves_per_layer
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self.max_draft_len = max_draft_len
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self.eagle_net_config = LLaMAConfig.from_dict(
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kwargs["eagle_net_config"])
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del kwargs["eagle_net_config"]
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super().__init__(**kwargs)
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def to_dict(self):
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output = super().to_dict()
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# Serialize the fields added in EagleConfig
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output['num_eagle_layers'] = self.num_eagle_layers
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output['max_non_leaves_per_layer'] = self.max_non_leaves_per_layer
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output['max_draft_len'] = self.max_draft_len
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output['eagle_net_config'] = self.eagle_net_config.to_dict()
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return output
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