[quantization] Support w8a8 quantization (#580)

### What this PR does / why we need it?

Add a `VLLMAscendQuantizer` to support w8a8 static (W8A8) and dynamic on
linear and moe (W8A8_DYNAMIC), the quantizer will be enable if a model
has [quantize
filed](https://huggingface.co/vllm-ascend/Qwen2.5-0.5B-Instruct-w8a8/blob/main/config.json#L27).
If MindIE Turbo is installed, the MindIE Turbo Quantizer will apply,
otherwise will use VLLMAscendQuantizer directly.

- This patch fix installation docs to make installation work
- This patch enable norm quantization by patch `RMSNorm.__init__`,
`RMSNorm.forward_oot`, `NPUModelRunnerBase.load_model`
- Add `AscendW8A8LinearMethod` for W8A8
- Add `AscendW8A8DynamicLinearMethod` and
`AscendW8A8DynamicFusedMoEMethod` for W8A8_DYNAMIC
- Add a e2e test for `vllm-ascend/Qwen2.5-0.5B-Instruct-w8a8` 

### Does this PR introduce _any_ user-facing change?
Yes, support w8a8 quantization. After this patch supported, users can
use below commands to run w8a8 models:

```
vllm serve /root/.cache/modelscope/hub/Qwen/Qwen2.5-7B-Instruct-w8a8 --served-model-name "qwen2.5-7B"
```

### How was this patch tested?
0. CI passed: add e2e test for `vllm-ascend/Qwen2.5-0.5B-Instruct-w8a8`
1. From @Yikun:
I test Qwen2.5-0.5B-Instruct-w8a8 for functional test all is well, pls
refer to
https://github.com/vllm-project/vllm-ascend/pull/580#issuecomment-2816747613

2. From @dingdingchaomian :
Use qwen2.5-72b-instruct model and deepseek-v2-lite-chat tested, both
models were quantized using Ascend's msmodelslim tool:
- Qwen2.5-72b-instruct were tested twice, one for w8a8 static and one
for w8a8 dynamic.
- Deepseek-v2-lite-chat were tested once because its quantization used
both static and dynamic w8a8.

Models were tested using both off line inference and online serving, and
both work well. The inference codes are exactly the same with the
examples in
https://vllm-ascend.readthedocs.io/en/latest/quick_start.html, with
model path and tensor parallel number changed.

---------

Signed-off-by: dingdingchaomian <wangce21@huawei.com>
Signed-off-by: Yikun Jiang <yikunkero@gmail.com>
Co-authored-by: dingdingchaomian <wangce21@huawei.com>
Co-authored-by: Angazenn <zengyanjia@huawei.com>
Co-authored-by: liujiaxu <liujiaxu4@huawei.com>
Co-authored-by: ApsarasX <apsarax@outlook.com>
Co-authored-by: ganyi1996ppo <pleaplusone.gy@gmail.com>

docs/source/installation.md

@@ -61,6 +61,7 @@ docker run --rm \
     -v /usr/local/Ascend/driver/lib64/:/usr/local/Ascend/driver/lib64/ \
     -v /usr/local/Ascend/driver/version.info:/usr/local/Ascend/driver/version.info \
     -v /etc/ascend_install.info:/etc/ascend_install.info \
+    -v /root/.cache:/root/.cache \
     -it $IMAGE bash
 ```
 
@@ -123,7 +124,7 @@ First install system dependencies:
 
 ```bash
 apt update  -y
-apt install -y gcc g++ cmake libnuma-dev
+apt install -y gcc g++ cmake libnuma-dev wget
 ```
 
 Current version depends on a unreleased `torch-npu`, you need to install manually:
@@ -144,6 +145,7 @@ cd pta
 wget https://pytorch-package.obs.cn-north-4.myhuaweicloud.com/pta/Daily/v2.5.1/20250320.3/pytorch_v2.5.1_py310.tar.gz
 tar -xvf pytorch_v2.5.1_py310.tar.gz
 pip install ./torch_npu-2.5.1.dev20250320-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
+cd ..
 ```
 
 Then you can install `vllm` and `vllm-ascend` from **pre-built wheel**:
@@ -152,6 +154,8 @@ Then you can install `vllm` and `vllm-ascend` from **pre-built wheel**:
    :substitutions:
 
 # Install vllm-project/vllm from pypi
+# There was a vLLM v0.8.4 installation bug, please use "Build from source code"
+# https://github.com/vllm-project/vllm-ascend/issues/581
 pip install vllm==|pip_vllm_version|
 
 # Install vllm-project/vllm-ascend from pypi.
@@ -168,11 +172,13 @@ or build from **source code**:
 git clone --depth 1 --branch |vllm_version| https://github.com/vllm-project/vllm
 cd vllm
 VLLM_TARGET_DEVICE=empty pip install . --extra-index https://download.pytorch.org/whl/cpu/
+cd ..
 
 # Install vLLM Ascend
 git clone  --depth 1 --branch |vllm_ascend_version| https://github.com/vllm-project/vllm-ascend.git
 cd vllm-ascend
 pip install -e . --extra-index https://download.pytorch.org/whl/cpu/
+cd ..
 ```
 :::
 
@@ -216,6 +222,7 @@ docker run --rm \
     -v /usr/local/Ascend/driver/lib64/:/usr/local/Ascend/driver/lib64/ \
     -v /usr/local/Ascend/driver/version.info:/usr/local/Ascend/driver/version.info \
     -v /etc/ascend_install.info:/etc/ascend_install.info \
+    -v /root/.cache:/root/.cache \
     -it $IMAGE bash
 ```