Files
xc-llm-ascend/vllm_ascend/quantization/__init__.py
SILONG ZENG 99aedaff63 [Lint]Style: Convert vllm-ascend/ to ruff format(Batch #7) (#6023)
### What this PR does / why we need it?
**Scope of Changes**:
| File Path |
| :--- |
|` vllm_ascend/quantization/compressed_tensors/compressed_tensors.py`|
|` vllm_ascend/quantization/quant_config.py`|
|` vllm_ascend/quantization/utils.py`|
|` vllm_ascend/quantization/w4a16.py`|
|` vllm_ascend/quantization/w4a4_flatquant_dynamic.py`|
|` vllm_ascend/quantization/w4a8_dynamic.py`|
|` vllm_ascend/quantization/w8a16.py`|
|` vllm_ascend/quantization/w8a8.py`|
|` vllm_ascend/quantization/w8a8_dynamic.py`|
|` vllm_ascend/quantization/w8a8_pdmix.py`|
|` vllm_ascend/quantization/w8a8mxfp8.py`|
|` vllm_ascend/sample/rejection_sampler.py`|
|` vllm_ascend/sample/sampler.py`|
|` vllm_ascend/worker/block_table.py`|

### Does this PR introduce _any_ user-facing change?

### How was this patch tested?

- vLLM version: v0.13.0
- vLLM main:
2c24bc6996

Signed-off-by: MrZ20 <2609716663@qq.com>
2026-02-06 14:56:53 +08:00

40 lines
1.3 KiB
Python

#
# Copyright (c) 2025 Huawei Technologies Co., Ltd. All Rights Reserved.
# This file is a part of the vllm-ascend project.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
"""Ascend quantization module.
This module provides quantization support for Ascend NPU.
Supported quantization tools:
- ModelSlim: Use AscendModelSlimConfig
- LLM-Compressor (compressed_tensors): Use AscendCompressedTensorsConfig
Public API:
- Config classes: AscendModelSlimConfig, AscendCompressedTensorsConfig
- For scheme implementations, import from vllm_ascend.quantization.methods
"""
# LLM-Compressor (compressed_tensors) quantization config
from .compressed_tensors_config import AscendCompressedTensorsConfig
# ModelSlim quantization config
from .modelslim_config import AscendModelSlimConfig
__all__ = [
"AscendModelSlimConfig",
"AscendCompressedTensorsConfig",
]