39e77fb9e4
### What this PR does / why we need it?
Introduced 310P W8A8 Quantization Support: New modules and methods have
been added to enable W8A8 static quantization specifically for the
Ascend 310P platform.
Platform-Specific Quantization Configuration Loading: The system now
dynamically loads the appropriate quantization configurations
(AscendCompressedTensorsConfig, AscendModelSlimConfig) based on whether
the current hardware is an Ascend 310P device.
Implemented AscendW8A8LinearMethod310P: A dedicated linear quantization
method for 310P is provided, handling the specifics of weight and
activation quantization, including input parameter broadcasting and
weight data manipulation.
Extended AscendModelSlimConfig for 310P: A specialized configuration
class for 310P integrates the new W8A8 linear method for both standard
linear layers and vocabulary parallel embeddings, ensuring proper
quantization application.
- vLLM version: v0.14.1
- vLLM main:
dc917cceb8
---------
Signed-off-by: Tflowers-0129 <2906339855@qq.com>
Signed-off-by: Shaoxu Cheng <2906339855@qq.com>
42 lines
1.5 KiB
Python
42 lines
1.5 KiB
Python
#
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# Copyright (c) 2026 Huawei Technologies Co., Ltd. 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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# This file is a part of the vllm-ascend project.
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#
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from typing import Any
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# 310P-local registry: maps (quant_type, layer_type) -> SchemeClass
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_SCHEME_REGISTRY: dict[tuple[str, str], type[Any]] = {}
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def register_scheme(quant_type: str, layer_type: str):
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"""Decorator to register a 310P quantization scheme."""
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def decorator(cls: type[Any]) -> type[Any]:
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key = (quant_type, layer_type)
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if key in _SCHEME_REGISTRY:
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raise ValueError(
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f"[310P] Scheme already registered for {quant_type}/{layer_type}: {_SCHEME_REGISTRY[key].__name__}"
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)
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_SCHEME_REGISTRY[key] = cls
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return cls
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return decorator
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def get_scheme_class(quant_type: str, layer_type: str) -> type[Any] | None:
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"""Get 310P scheme class for given quant_type and layer_type."""
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return _SCHEME_REGISTRY.get((quant_type, layer_type))
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