wehub-resource-sync
32 lines
1.1 KiB
Python
32 lines
1.1 KiB
Python
# Copyright (c) Microsoft Corporation.
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# SPDX-License-Identifier: Apache-2.0
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# DeepSpeed Team
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from typing import Any
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from ...config_v2 import RaggedInferenceEngineConfig
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from ..inference_policy_base import ContainerMap, InferenceV2Policy
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from .container import Llama2NonTransformerContainer, Llama2TransformerContainer
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from .model import Llama2InferenceModel
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class Llama2Policy(InferenceV2Policy):
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def instantiate_model(self, engine_config: RaggedInferenceEngineConfig, mp_group: Any) -> Llama2InferenceModel:
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return Llama2InferenceModel(config=self._model_config, engine_config=engine_config, base_mp_group=mp_group)
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def build_container_map(self) -> ContainerMap:
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map = ContainerMap()
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transformer_containers = [Llama2TransformerContainer(self.model) for _ in range(self.model.num_layers)]
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map.set_transformer_params(['model.layers'], transformer_containers)
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map.set_non_transformer_params(Llama2NonTransformerContainer(self.model))
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map.set_unmapped_params(
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[f'model.layers.{i}.self_attn.rotary_emb.inv_freq' for i in range(self.model.num_layers)])
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return map
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