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[Platform] Add initial experimental support for Altlas 300I series (#1333) ### What this PR does / why we need it? Add initial experimental support for Ascend 310P, this patch squash below PR into one to help validation: - https://github.com/vllm-project/vllm-ascend/pull/914 - https://github.com/vllm-project/vllm-ascend/pull/1318 - https://github.com/vllm-project/vllm-ascend/pull/1327 ### Does this PR introduce _any_ user-facing change? User can run vLLM on Altlas 300I DUO series ### How was this patch tested? CI passed with: - E2E image build for 310P - CI test on A2 with e2e test and longterm test - Unit test missing because need a real 310P image to have the test, will add in a separate PR later. - Manually e2e test: - Qwen2.5-7b-instruct, Qwen2.5-0.5b, Qwen3-0.6B, Qwen3-4B, Qwen3-8B: https://github.com/vllm-project/vllm-ascend/pull/914#issuecomment-2942989322 - Pangu MGoE 72B The patch has been tested locally on Ascend 310P hardware to ensure that the changes do not break existing functionality and that the new features work as intended. #### ENV information CANN, NNAL version: 8.1.RC1 > [!IMPORTANT] > PTA 2.5.1 version >= torch_npu-2.5.1.post1.dev20250528 to support NZ format and calling NNAL operators on 310P #### Code example ##### Build vllm-ascend from source code ```shell # download source code as vllm-ascend cd vllm-ascend export SOC_VERSION=Ascend310P3 pip install -v -e . cd .. ``` ##### Run offline inference ```python from vllm import LLM, SamplingParams prompts = ["水的沸点是100摄氏度吗?请回答是或者否。", "若腋下体温为38摄氏度,请问这人是否发烧?请回答是或者否。", "水的沸点是100摄氏度吗?请回答是或者否。", "若腋下体温为38摄氏度,请问这人是否发烧?请回答是或者否。"] # Create a sampling params object. sampling_params = SamplingParams(temperature=0.0, top_p=0.95, max_tokens=10) # Create an LLM. llm = LLM( model="Qwen/Qwen2.5-7B-Instruct", max_model_len=4096, max_num_seqs=4, dtype="float16", # IMPORTANT cause some ATB ops cannot support bf16 on 310P disable_custom_all_reduce=True, trust_remote_code=True, tensor_parallel_size=2, compilation_config={"custom_ops":['none', "+rms_norm", "+rotary_embedding"]}, ) # Generate texts from the prompts. outputs = llm.generate(prompts, sampling_params) for output in outputs: prompt = output.prompt generated_text = output.outputs[0].text print(f"Prompt: {prompt!r}, Generated text: {generated_text!r}") ``` --------- Signed-off-by: Vincent Yuan <farawayboat@gmail.com> Signed-off-by: Yikun Jiang <yikunkero@gmail.com> Signed-off-by: angazenn <zengyanjia@huawei.com> Co-authored-by: Vincent Yuan <farawayboat@gmail.com> Co-authored-by: angazenn <zengyanjia@huawei.com> Co-authored-by: wangxiyuan <wangxiyuan1007@gmail.com> Co-authored-by: leo-pony <nengjunma@outlook.com> Co-authored-by: shen-shanshan <467638484@qq.com>
2025-06-21 09:00:16 +08:00
#
# Copyright (c) 2025 Huawei Technologies Co., Ltd. All Rights Reserved.
#
# 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.
# This file is a part of the vllm-ascend project.
#
FROM quay.io/ascend/cann:8.5.1-310p-ubuntu22.04-py3.11
[Platform] Add initial experimental support for Altlas 300I series (#1333) ### What this PR does / why we need it? Add initial experimental support for Ascend 310P, this patch squash below PR into one to help validation: - https://github.com/vllm-project/vllm-ascend/pull/914 - https://github.com/vllm-project/vllm-ascend/pull/1318 - https://github.com/vllm-project/vllm-ascend/pull/1327 ### Does this PR introduce _any_ user-facing change? User can run vLLM on Altlas 300I DUO series ### How was this patch tested? CI passed with: - E2E image build for 310P - CI test on A2 with e2e test and longterm test - Unit test missing because need a real 310P image to have the test, will add in a separate PR later. - Manually e2e test: - Qwen2.5-7b-instruct, Qwen2.5-0.5b, Qwen3-0.6B, Qwen3-4B, Qwen3-8B: https://github.com/vllm-project/vllm-ascend/pull/914#issuecomment-2942989322 - Pangu MGoE 72B The patch has been tested locally on Ascend 310P hardware to ensure that the changes do not break existing functionality and that the new features work as intended. #### ENV information CANN, NNAL version: 8.1.RC1 > [!IMPORTANT] > PTA 2.5.1 version >= torch_npu-2.5.1.post1.dev20250528 to support NZ format and calling NNAL operators on 310P #### Code example ##### Build vllm-ascend from source code ```shell # download source code as vllm-ascend cd vllm-ascend export SOC_VERSION=Ascend310P3 pip install -v -e . cd .. ``` ##### Run offline inference ```python from vllm import LLM, SamplingParams prompts = ["水的沸点是100摄氏度吗?请回答是或者否。", "若腋下体温为38摄氏度,请问这人是否发烧?请回答是或者否。", "水的沸点是100摄氏度吗?请回答是或者否。", "若腋下体温为38摄氏度,请问这人是否发烧?请回答是或者否。"] # Create a sampling params object. sampling_params = SamplingParams(temperature=0.0, top_p=0.95, max_tokens=10) # Create an LLM. llm = LLM( model="Qwen/Qwen2.5-7B-Instruct", max_model_len=4096, max_num_seqs=4, dtype="float16", # IMPORTANT cause some ATB ops cannot support bf16 on 310P disable_custom_all_reduce=True, trust_remote_code=True, tensor_parallel_size=2, compilation_config={"custom_ops":['none', "+rms_norm", "+rotary_embedding"]}, ) # Generate texts from the prompts. outputs = llm.generate(prompts, sampling_params) for output in outputs: prompt = output.prompt generated_text = output.outputs[0].text print(f"Prompt: {prompt!r}, Generated text: {generated_text!r}") ``` --------- Signed-off-by: Vincent Yuan <farawayboat@gmail.com> Signed-off-by: Yikun Jiang <yikunkero@gmail.com> Signed-off-by: angazenn <zengyanjia@huawei.com> Co-authored-by: Vincent Yuan <farawayboat@gmail.com> Co-authored-by: angazenn <zengyanjia@huawei.com> Co-authored-by: wangxiyuan <wangxiyuan1007@gmail.com> Co-authored-by: leo-pony <nengjunma@outlook.com> Co-authored-by: shen-shanshan <467638484@qq.com>
2025-06-21 09:00:16 +08:00
ARG PIP_INDEX_URL="https://mirrors.tuna.tsinghua.edu.cn/pypi/web/simple"
ARG SOC_VERSION="ascend310p1"
[Platform] Add initial experimental support for Altlas 300I series (#1333) ### What this PR does / why we need it? Add initial experimental support for Ascend 310P, this patch squash below PR into one to help validation: - https://github.com/vllm-project/vllm-ascend/pull/914 - https://github.com/vllm-project/vllm-ascend/pull/1318 - https://github.com/vllm-project/vllm-ascend/pull/1327 ### Does this PR introduce _any_ user-facing change? User can run vLLM on Altlas 300I DUO series ### How was this patch tested? CI passed with: - E2E image build for 310P - CI test on A2 with e2e test and longterm test - Unit test missing because need a real 310P image to have the test, will add in a separate PR later. - Manually e2e test: - Qwen2.5-7b-instruct, Qwen2.5-0.5b, Qwen3-0.6B, Qwen3-4B, Qwen3-8B: https://github.com/vllm-project/vllm-ascend/pull/914#issuecomment-2942989322 - Pangu MGoE 72B The patch has been tested locally on Ascend 310P hardware to ensure that the changes do not break existing functionality and that the new features work as intended. #### ENV information CANN, NNAL version: 8.1.RC1 > [!IMPORTANT] > PTA 2.5.1 version >= torch_npu-2.5.1.post1.dev20250528 to support NZ format and calling NNAL operators on 310P #### Code example ##### Build vllm-ascend from source code ```shell # download source code as vllm-ascend cd vllm-ascend export SOC_VERSION=Ascend310P3 pip install -v -e . cd .. ``` ##### Run offline inference ```python from vllm import LLM, SamplingParams prompts = ["水的沸点是100摄氏度吗?请回答是或者否。", "若腋下体温为38摄氏度,请问这人是否发烧?请回答是或者否。", "水的沸点是100摄氏度吗?请回答是或者否。", "若腋下体温为38摄氏度,请问这人是否发烧?请回答是或者否。"] # Create a sampling params object. sampling_params = SamplingParams(temperature=0.0, top_p=0.95, max_tokens=10) # Create an LLM. llm = LLM( model="Qwen/Qwen2.5-7B-Instruct", max_model_len=4096, max_num_seqs=4, dtype="float16", # IMPORTANT cause some ATB ops cannot support bf16 on 310P disable_custom_all_reduce=True, trust_remote_code=True, tensor_parallel_size=2, compilation_config={"custom_ops":['none', "+rms_norm", "+rotary_embedding"]}, ) # Generate texts from the prompts. outputs = llm.generate(prompts, sampling_params) for output in outputs: prompt = output.prompt generated_text = output.outputs[0].text print(f"Prompt: {prompt!r}, Generated text: {generated_text!r}") ``` --------- Signed-off-by: Vincent Yuan <farawayboat@gmail.com> Signed-off-by: Yikun Jiang <yikunkero@gmail.com> Signed-off-by: angazenn <zengyanjia@huawei.com> Co-authored-by: Vincent Yuan <farawayboat@gmail.com> Co-authored-by: angazenn <zengyanjia@huawei.com> Co-authored-by: wangxiyuan <wangxiyuan1007@gmail.com> Co-authored-by: leo-pony <nengjunma@outlook.com> Co-authored-by: shen-shanshan <467638484@qq.com>
2025-06-21 09:00:16 +08:00
RUN apt-get update -y && \
apt-get install -y python3-pip git vim wget net-tools gcc g++ cmake numactl libnuma-dev libjemalloc2 && \
[Platform] Add initial experimental support for Altlas 300I series (#1333) ### What this PR does / why we need it? Add initial experimental support for Ascend 310P, this patch squash below PR into one to help validation: - https://github.com/vllm-project/vllm-ascend/pull/914 - https://github.com/vllm-project/vllm-ascend/pull/1318 - https://github.com/vllm-project/vllm-ascend/pull/1327 ### Does this PR introduce _any_ user-facing change? User can run vLLM on Altlas 300I DUO series ### How was this patch tested? CI passed with: - E2E image build for 310P - CI test on A2 with e2e test and longterm test - Unit test missing because need a real 310P image to have the test, will add in a separate PR later. - Manually e2e test: - Qwen2.5-7b-instruct, Qwen2.5-0.5b, Qwen3-0.6B, Qwen3-4B, Qwen3-8B: https://github.com/vllm-project/vllm-ascend/pull/914#issuecomment-2942989322 - Pangu MGoE 72B The patch has been tested locally on Ascend 310P hardware to ensure that the changes do not break existing functionality and that the new features work as intended. #### ENV information CANN, NNAL version: 8.1.RC1 > [!IMPORTANT] > PTA 2.5.1 version >= torch_npu-2.5.1.post1.dev20250528 to support NZ format and calling NNAL operators on 310P #### Code example ##### Build vllm-ascend from source code ```shell # download source code as vllm-ascend cd vllm-ascend export SOC_VERSION=Ascend310P3 pip install -v -e . cd .. ``` ##### Run offline inference ```python from vllm import LLM, SamplingParams prompts = ["水的沸点是100摄氏度吗?请回答是或者否。", "若腋下体温为38摄氏度,请问这人是否发烧?请回答是或者否。", "水的沸点是100摄氏度吗?请回答是或者否。", "若腋下体温为38摄氏度,请问这人是否发烧?请回答是或者否。"] # Create a sampling params object. sampling_params = SamplingParams(temperature=0.0, top_p=0.95, max_tokens=10) # Create an LLM. llm = LLM( model="Qwen/Qwen2.5-7B-Instruct", max_model_len=4096, max_num_seqs=4, dtype="float16", # IMPORTANT cause some ATB ops cannot support bf16 on 310P disable_custom_all_reduce=True, trust_remote_code=True, tensor_parallel_size=2, compilation_config={"custom_ops":['none', "+rms_norm", "+rotary_embedding"]}, ) # Generate texts from the prompts. outputs = llm.generate(prompts, sampling_params) for output in outputs: prompt = output.prompt generated_text = output.outputs[0].text print(f"Prompt: {prompt!r}, Generated text: {generated_text!r}") ``` --------- Signed-off-by: Vincent Yuan <farawayboat@gmail.com> Signed-off-by: Yikun Jiang <yikunkero@gmail.com> Signed-off-by: angazenn <zengyanjia@huawei.com> Co-authored-by: Vincent Yuan <farawayboat@gmail.com> Co-authored-by: angazenn <zengyanjia@huawei.com> Co-authored-by: wangxiyuan <wangxiyuan1007@gmail.com> Co-authored-by: leo-pony <nengjunma@outlook.com> Co-authored-by: shen-shanshan <467638484@qq.com>
2025-06-21 09:00:16 +08:00
rm -rf /var/cache/apt/* && \
rm -rf /var/lib/apt/lists/*
WORKDIR /workspace
COPY . /vllm-workspace/vllm-ascend/
RUN pip config set global.index-url ${PIP_INDEX_URL}
[Platform] Add initial experimental support for Altlas 300I series (#1333) ### What this PR does / why we need it? Add initial experimental support for Ascend 310P, this patch squash below PR into one to help validation: - https://github.com/vllm-project/vllm-ascend/pull/914 - https://github.com/vllm-project/vllm-ascend/pull/1318 - https://github.com/vllm-project/vllm-ascend/pull/1327 ### Does this PR introduce _any_ user-facing change? User can run vLLM on Altlas 300I DUO series ### How was this patch tested? CI passed with: - E2E image build for 310P - CI test on A2 with e2e test and longterm test - Unit test missing because need a real 310P image to have the test, will add in a separate PR later. - Manually e2e test: - Qwen2.5-7b-instruct, Qwen2.5-0.5b, Qwen3-0.6B, Qwen3-4B, Qwen3-8B: https://github.com/vllm-project/vllm-ascend/pull/914#issuecomment-2942989322 - Pangu MGoE 72B The patch has been tested locally on Ascend 310P hardware to ensure that the changes do not break existing functionality and that the new features work as intended. #### ENV information CANN, NNAL version: 8.1.RC1 > [!IMPORTANT] > PTA 2.5.1 version >= torch_npu-2.5.1.post1.dev20250528 to support NZ format and calling NNAL operators on 310P #### Code example ##### Build vllm-ascend from source code ```shell # download source code as vllm-ascend cd vllm-ascend export SOC_VERSION=Ascend310P3 pip install -v -e . cd .. ``` ##### Run offline inference ```python from vllm import LLM, SamplingParams prompts = ["水的沸点是100摄氏度吗?请回答是或者否。", "若腋下体温为38摄氏度,请问这人是否发烧?请回答是或者否。", "水的沸点是100摄氏度吗?请回答是或者否。", "若腋下体温为38摄氏度,请问这人是否发烧?请回答是或者否。"] # Create a sampling params object. sampling_params = SamplingParams(temperature=0.0, top_p=0.95, max_tokens=10) # Create an LLM. llm = LLM( model="Qwen/Qwen2.5-7B-Instruct", max_model_len=4096, max_num_seqs=4, dtype="float16", # IMPORTANT cause some ATB ops cannot support bf16 on 310P disable_custom_all_reduce=True, trust_remote_code=True, tensor_parallel_size=2, compilation_config={"custom_ops":['none', "+rms_norm", "+rotary_embedding"]}, ) # Generate texts from the prompts. outputs = llm.generate(prompts, sampling_params) for output in outputs: prompt = output.prompt generated_text = output.outputs[0].text print(f"Prompt: {prompt!r}, Generated text: {generated_text!r}") ``` --------- Signed-off-by: Vincent Yuan <farawayboat@gmail.com> Signed-off-by: Yikun Jiang <yikunkero@gmail.com> Signed-off-by: angazenn <zengyanjia@huawei.com> Co-authored-by: Vincent Yuan <farawayboat@gmail.com> Co-authored-by: angazenn <zengyanjia@huawei.com> Co-authored-by: wangxiyuan <wangxiyuan1007@gmail.com> Co-authored-by: leo-pony <nengjunma@outlook.com> Co-authored-by: shen-shanshan <467638484@qq.com>
2025-06-21 09:00:16 +08:00
# Install vLLM
ARG VLLM_REPO=https://github.com/vllm-project/vllm.git
ARG VLLM_TAG=v0.18.0
RUN git clone --depth 1 $VLLM_REPO --branch $VLLM_TAG /vllm-workspace/vllm
# In x86, triton will be installed by vllm. But in Ascend, triton doesn't work correctly. we need to uninstall it.
RUN VLLM_TARGET_DEVICE="empty" python3 -m pip install -v -e /vllm-workspace/vllm/[audio] --extra-index https://download.pytorch.org/whl/cpu/ && \
[Platform] Add initial experimental support for Altlas 300I series (#1333) ### What this PR does / why we need it? Add initial experimental support for Ascend 310P, this patch squash below PR into one to help validation: - https://github.com/vllm-project/vllm-ascend/pull/914 - https://github.com/vllm-project/vllm-ascend/pull/1318 - https://github.com/vllm-project/vllm-ascend/pull/1327 ### Does this PR introduce _any_ user-facing change? User can run vLLM on Altlas 300I DUO series ### How was this patch tested? CI passed with: - E2E image build for 310P - CI test on A2 with e2e test and longterm test - Unit test missing because need a real 310P image to have the test, will add in a separate PR later. - Manually e2e test: - Qwen2.5-7b-instruct, Qwen2.5-0.5b, Qwen3-0.6B, Qwen3-4B, Qwen3-8B: https://github.com/vllm-project/vllm-ascend/pull/914#issuecomment-2942989322 - Pangu MGoE 72B The patch has been tested locally on Ascend 310P hardware to ensure that the changes do not break existing functionality and that the new features work as intended. #### ENV information CANN, NNAL version: 8.1.RC1 > [!IMPORTANT] > PTA 2.5.1 version >= torch_npu-2.5.1.post1.dev20250528 to support NZ format and calling NNAL operators on 310P #### Code example ##### Build vllm-ascend from source code ```shell # download source code as vllm-ascend cd vllm-ascend export SOC_VERSION=Ascend310P3 pip install -v -e . cd .. ``` ##### Run offline inference ```python from vllm import LLM, SamplingParams prompts = ["水的沸点是100摄氏度吗?请回答是或者否。", "若腋下体温为38摄氏度,请问这人是否发烧?请回答是或者否。", "水的沸点是100摄氏度吗?请回答是或者否。", "若腋下体温为38摄氏度,请问这人是否发烧?请回答是或者否。"] # Create a sampling params object. sampling_params = SamplingParams(temperature=0.0, top_p=0.95, max_tokens=10) # Create an LLM. llm = LLM( model="Qwen/Qwen2.5-7B-Instruct", max_model_len=4096, max_num_seqs=4, dtype="float16", # IMPORTANT cause some ATB ops cannot support bf16 on 310P disable_custom_all_reduce=True, trust_remote_code=True, tensor_parallel_size=2, compilation_config={"custom_ops":['none', "+rms_norm", "+rotary_embedding"]}, ) # Generate texts from the prompts. outputs = llm.generate(prompts, sampling_params) for output in outputs: prompt = output.prompt generated_text = output.outputs[0].text print(f"Prompt: {prompt!r}, Generated text: {generated_text!r}") ``` --------- Signed-off-by: Vincent Yuan <farawayboat@gmail.com> Signed-off-by: Yikun Jiang <yikunkero@gmail.com> Signed-off-by: angazenn <zengyanjia@huawei.com> Co-authored-by: Vincent Yuan <farawayboat@gmail.com> Co-authored-by: angazenn <zengyanjia@huawei.com> Co-authored-by: wangxiyuan <wangxiyuan1007@gmail.com> Co-authored-by: leo-pony <nengjunma@outlook.com> Co-authored-by: shen-shanshan <467638484@qq.com>
2025-06-21 09:00:16 +08:00
python3 -m pip uninstall -y triton && \
python3 -m pip cache purge
# Install vllm-ascend
ENV DEBIAN_FRONTEND=noninteractive
ENV SOC_VERSION=$SOC_VERSION \
TASK_QUEUE_ENABLE=1 \
OMP_NUM_THREADS=1 \
VLLM_WORKER_MULTIPROC_METHOD=spawn \
VLLM_ASCEND_ENABLE_VNPU=1
# Append `libascend_hal.so` path (devlib) to LD_LIBRARY_PATH
[Bugfix]Remove conflicting triton after vllm-ascend install on x86 (#7497) ### What this PR does / why we need it? This PR fixes the x86 image issue where both `triton` and `triton-ascend` are installed in the final environment. - https://github.com/vllm-project/vllm-ascend/issues/7359 We confirmed the root cause is not that `triton` fails to uninstall after the upstream `vllm` installation. Instead, during the `vllm-ascend` installation step, pip resolves and installs upstream `triton` again alongside `triton-ascend` on x86 platforms. This leads to module conflicts at runtime because both distributions provide the `triton` Python package. To fix this, this PR updates all Dockerfiles to remove upstream `triton` immediately after installing `vllm-ascend`, while keeping the `triton-ascend` version resolved by `vllm-ascend` itself. Affected files: - `Dockerfile` - `Dockerfile.a3` - `Dockerfile.310p` - `Dockerfile.openEuler` - `Dockerfile.a3.openEuler` - `Dockerfile.310p.openEuler` ### Does this PR introduce _any_ user-facing change? Yes. For x86 container images, the final Python environment will no longer keep upstream `triton` alongside `triton-ascend`. This avoids importing the wrong Triton package and fixes related runtime failures. ### How was this patch tested? Root cause validation was performed by reproducing the installation flow locally and checking the package state after each step. Observed during `vllm-ascend` installation on x86: - `triton-ascend` was installed as expected - upstream `triton` was also installed again in the same step ``` bash export PIP_EXTRA_INDEX_URL=https://mirrors.huaweicloud.com/ascend/repos/pypi && \ source /usr/local/Ascend/ascend-toolkit/set_env.sh && \ source /usr/local/Ascend/nnal/atb/set_env.sh && \ export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/usr/local/Ascend/ascend-toolkit/latest/`uname -i`-linux/devlib && \ python3 -m pip install -v -e /vllm-workspace/vllm-ascend/ --extra-index https://download.pytorch.org/whl/cpu/ && \ python3 -m pip cache purge Successfully installed aiofiles-25.1.0 arctic-inference-0.1.1 blinker-1.9.0 cmake-4.2.3 fastapi-0.123.10 flask-3.1.3 h2-4.3.0 hpack-4.1.0 hypercorn-0.18.0 hyperframe-6.1.0 itsdangerous-2.2.0 numpy-1.26.4 opencv-python-headless-4.11.0.86 pandas-3.0.1 pandas-stubs-3.0.0.260204 priority-2.0.0 pybind11-3.0.2 python-dateutil-2.9.0.post0 quart-0.20.0 setuptools-scm-9.2.2 six-1.17.0 starlette-0.50.0 torch-2.9.0+cpu torch-npu-2.9.0 torchaudio-2.9.0+cpu torchvision-0.24.0+cpu triton-3.6.0 triton-ascend-3.2.0 vllm_ascend-0.17.0rc2.dev51+geb92e7d50 werkzeug-3.1.6 wheel-0.46.3 wsproto-1.3.2 xgrammar-0.1.32 WARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager, possibly rendering your system unusable. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv. Use the --root-user-action option if you know what you are doing and want to suppress this warning. Files removed: 423 (1025.9 MB) Directories removed: 5 ``` - vLLM version: v0.17.0 - vLLM main: https://github.com/vllm-project/vllm/commit/8b6325758cce5f9c36d38f2462edbd368b97a07c --------- Signed-off-by: MrZ20 <2609716663@qq.com>
2026-03-23 20:14:42 +08:00
# Installing vllm-ascend on x86 can pull upstream triton back in alongside triton-ascend. Remove it immediately after this step.
[Platform] Add initial experimental support for Altlas 300I series (#1333) ### What this PR does / why we need it? Add initial experimental support for Ascend 310P, this patch squash below PR into one to help validation: - https://github.com/vllm-project/vllm-ascend/pull/914 - https://github.com/vllm-project/vllm-ascend/pull/1318 - https://github.com/vllm-project/vllm-ascend/pull/1327 ### Does this PR introduce _any_ user-facing change? User can run vLLM on Altlas 300I DUO series ### How was this patch tested? CI passed with: - E2E image build for 310P - CI test on A2 with e2e test and longterm test - Unit test missing because need a real 310P image to have the test, will add in a separate PR later. - Manually e2e test: - Qwen2.5-7b-instruct, Qwen2.5-0.5b, Qwen3-0.6B, Qwen3-4B, Qwen3-8B: https://github.com/vllm-project/vllm-ascend/pull/914#issuecomment-2942989322 - Pangu MGoE 72B The patch has been tested locally on Ascend 310P hardware to ensure that the changes do not break existing functionality and that the new features work as intended. #### ENV information CANN, NNAL version: 8.1.RC1 > [!IMPORTANT] > PTA 2.5.1 version >= torch_npu-2.5.1.post1.dev20250528 to support NZ format and calling NNAL operators on 310P #### Code example ##### Build vllm-ascend from source code ```shell # download source code as vllm-ascend cd vllm-ascend export SOC_VERSION=Ascend310P3 pip install -v -e . cd .. ``` ##### Run offline inference ```python from vllm import LLM, SamplingParams prompts = ["水的沸点是100摄氏度吗?请回答是或者否。", "若腋下体温为38摄氏度,请问这人是否发烧?请回答是或者否。", "水的沸点是100摄氏度吗?请回答是或者否。", "若腋下体温为38摄氏度,请问这人是否发烧?请回答是或者否。"] # Create a sampling params object. sampling_params = SamplingParams(temperature=0.0, top_p=0.95, max_tokens=10) # Create an LLM. llm = LLM( model="Qwen/Qwen2.5-7B-Instruct", max_model_len=4096, max_num_seqs=4, dtype="float16", # IMPORTANT cause some ATB ops cannot support bf16 on 310P disable_custom_all_reduce=True, trust_remote_code=True, tensor_parallel_size=2, compilation_config={"custom_ops":['none', "+rms_norm", "+rotary_embedding"]}, ) # Generate texts from the prompts. outputs = llm.generate(prompts, sampling_params) for output in outputs: prompt = output.prompt generated_text = output.outputs[0].text print(f"Prompt: {prompt!r}, Generated text: {generated_text!r}") ``` --------- Signed-off-by: Vincent Yuan <farawayboat@gmail.com> Signed-off-by: Yikun Jiang <yikunkero@gmail.com> Signed-off-by: angazenn <zengyanjia@huawei.com> Co-authored-by: Vincent Yuan <farawayboat@gmail.com> Co-authored-by: angazenn <zengyanjia@huawei.com> Co-authored-by: wangxiyuan <wangxiyuan1007@gmail.com> Co-authored-by: leo-pony <nengjunma@outlook.com> Co-authored-by: shen-shanshan <467638484@qq.com>
2025-06-21 09:00:16 +08:00
RUN export PIP_EXTRA_INDEX_URL=https://mirrors.huaweicloud.com/ascend/repos/pypi && \
source /usr/local/Ascend/ascend-toolkit/set_env.sh && \
source /usr/local/Ascend/nnal/atb/set_env.sh && \
export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/usr/local/Ascend/ascend-toolkit/latest/`uname -i`-linux/devlib && \
2026-04-21 03:05:32 +00:00
cd /vllm-workspace/vllm-ascend/csrc/vnpu_offload && \
make install && make clean && \
[Platform] Add initial experimental support for Altlas 300I series (#1333) ### What this PR does / why we need it? Add initial experimental support for Ascend 310P, this patch squash below PR into one to help validation: - https://github.com/vllm-project/vllm-ascend/pull/914 - https://github.com/vllm-project/vllm-ascend/pull/1318 - https://github.com/vllm-project/vllm-ascend/pull/1327 ### Does this PR introduce _any_ user-facing change? User can run vLLM on Altlas 300I DUO series ### How was this patch tested? CI passed with: - E2E image build for 310P - CI test on A2 with e2e test and longterm test - Unit test missing because need a real 310P image to have the test, will add in a separate PR later. - Manually e2e test: - Qwen2.5-7b-instruct, Qwen2.5-0.5b, Qwen3-0.6B, Qwen3-4B, Qwen3-8B: https://github.com/vllm-project/vllm-ascend/pull/914#issuecomment-2942989322 - Pangu MGoE 72B The patch has been tested locally on Ascend 310P hardware to ensure that the changes do not break existing functionality and that the new features work as intended. #### ENV information CANN, NNAL version: 8.1.RC1 > [!IMPORTANT] > PTA 2.5.1 version >= torch_npu-2.5.1.post1.dev20250528 to support NZ format and calling NNAL operators on 310P #### Code example ##### Build vllm-ascend from source code ```shell # download source code as vllm-ascend cd vllm-ascend export SOC_VERSION=Ascend310P3 pip install -v -e . cd .. ``` ##### Run offline inference ```python from vllm import LLM, SamplingParams prompts = ["水的沸点是100摄氏度吗?请回答是或者否。", "若腋下体温为38摄氏度,请问这人是否发烧?请回答是或者否。", "水的沸点是100摄氏度吗?请回答是或者否。", "若腋下体温为38摄氏度,请问这人是否发烧?请回答是或者否。"] # Create a sampling params object. sampling_params = SamplingParams(temperature=0.0, top_p=0.95, max_tokens=10) # Create an LLM. llm = LLM( model="Qwen/Qwen2.5-7B-Instruct", max_model_len=4096, max_num_seqs=4, dtype="float16", # IMPORTANT cause some ATB ops cannot support bf16 on 310P disable_custom_all_reduce=True, trust_remote_code=True, tensor_parallel_size=2, compilation_config={"custom_ops":['none', "+rms_norm", "+rotary_embedding"]}, ) # Generate texts from the prompts. outputs = llm.generate(prompts, sampling_params) for output in outputs: prompt = output.prompt generated_text = output.outputs[0].text print(f"Prompt: {prompt!r}, Generated text: {generated_text!r}") ``` --------- Signed-off-by: Vincent Yuan <farawayboat@gmail.com> Signed-off-by: Yikun Jiang <yikunkero@gmail.com> Signed-off-by: angazenn <zengyanjia@huawei.com> Co-authored-by: Vincent Yuan <farawayboat@gmail.com> Co-authored-by: angazenn <zengyanjia@huawei.com> Co-authored-by: wangxiyuan <wangxiyuan1007@gmail.com> Co-authored-by: leo-pony <nengjunma@outlook.com> Co-authored-by: shen-shanshan <467638484@qq.com>
2025-06-21 09:00:16 +08:00
python3 -m pip install -v -e /vllm-workspace/vllm-ascend/ --extra-index https://download.pytorch.org/whl/cpu/ && \
[Bugfix]Remove conflicting triton after vllm-ascend install on x86 (#7497) ### What this PR does / why we need it? This PR fixes the x86 image issue where both `triton` and `triton-ascend` are installed in the final environment. - https://github.com/vllm-project/vllm-ascend/issues/7359 We confirmed the root cause is not that `triton` fails to uninstall after the upstream `vllm` installation. Instead, during the `vllm-ascend` installation step, pip resolves and installs upstream `triton` again alongside `triton-ascend` on x86 platforms. This leads to module conflicts at runtime because both distributions provide the `triton` Python package. To fix this, this PR updates all Dockerfiles to remove upstream `triton` immediately after installing `vllm-ascend`, while keeping the `triton-ascend` version resolved by `vllm-ascend` itself. Affected files: - `Dockerfile` - `Dockerfile.a3` - `Dockerfile.310p` - `Dockerfile.openEuler` - `Dockerfile.a3.openEuler` - `Dockerfile.310p.openEuler` ### Does this PR introduce _any_ user-facing change? Yes. For x86 container images, the final Python environment will no longer keep upstream `triton` alongside `triton-ascend`. This avoids importing the wrong Triton package and fixes related runtime failures. ### How was this patch tested? Root cause validation was performed by reproducing the installation flow locally and checking the package state after each step. Observed during `vllm-ascend` installation on x86: - `triton-ascend` was installed as expected - upstream `triton` was also installed again in the same step ``` bash export PIP_EXTRA_INDEX_URL=https://mirrors.huaweicloud.com/ascend/repos/pypi && \ source /usr/local/Ascend/ascend-toolkit/set_env.sh && \ source /usr/local/Ascend/nnal/atb/set_env.sh && \ export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/usr/local/Ascend/ascend-toolkit/latest/`uname -i`-linux/devlib && \ python3 -m pip install -v -e /vllm-workspace/vllm-ascend/ --extra-index https://download.pytorch.org/whl/cpu/ && \ python3 -m pip cache purge Successfully installed aiofiles-25.1.0 arctic-inference-0.1.1 blinker-1.9.0 cmake-4.2.3 fastapi-0.123.10 flask-3.1.3 h2-4.3.0 hpack-4.1.0 hypercorn-0.18.0 hyperframe-6.1.0 itsdangerous-2.2.0 numpy-1.26.4 opencv-python-headless-4.11.0.86 pandas-3.0.1 pandas-stubs-3.0.0.260204 priority-2.0.0 pybind11-3.0.2 python-dateutil-2.9.0.post0 quart-0.20.0 setuptools-scm-9.2.2 six-1.17.0 starlette-0.50.0 torch-2.9.0+cpu torch-npu-2.9.0 torchaudio-2.9.0+cpu torchvision-0.24.0+cpu triton-3.6.0 triton-ascend-3.2.0 vllm_ascend-0.17.0rc2.dev51+geb92e7d50 werkzeug-3.1.6 wheel-0.46.3 wsproto-1.3.2 xgrammar-0.1.32 WARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager, possibly rendering your system unusable. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv. Use the --root-user-action option if you know what you are doing and want to suppress this warning. Files removed: 423 (1025.9 MB) Directories removed: 5 ``` - vLLM version: v0.17.0 - vLLM main: https://github.com/vllm-project/vllm/commit/8b6325758cce5f9c36d38f2462edbd368b97a07c --------- Signed-off-by: MrZ20 <2609716663@qq.com>
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if [ "$(uname -i)" = "x86_64" ]; then python3 -m pip uninstall -y triton; fi && \
PYTHON_TAG=$(python3 -c "import sys; print(f'cp{sys.version_info.major}{sys.version_info.minor}')") && \
ARCH=$(python3 -c "import platform; m=platform.machine().lower(); map={'x86_64':'x86_64','amd64':'x86_64','aarch64':'aarch64','arm64':'aarch64'}; print(map.get(m,m))") && \
\
if [ "$PYTHON_TAG" = "cp310" ] && [ "$ARCH" = "aarch64" ]; then PTA_WHEEL="torch_npu-2.9.0.post1%2Bgit4c901a4-${PYTHON_TAG}-${PYTHON_TAG}-manylinux_2_28_${ARCH}.whl"; \
elif [ "$PYTHON_TAG" = "cp311" ] && [ "$ARCH" = "x86_64" ]; then PTA_WHEEL="torch_npu-2.9.0.post1%2Bgitdc51c2d-${PYTHON_TAG}-${PYTHON_TAG}-manylinux_2_28_${ARCH}.whl"; \
elif [ "$PYTHON_TAG" = "cp310" ] && [ "$ARCH" = "x86_64" ]; then PTA_WHEEL="torch_npu-2.9.0.post1%2Bgita74051c-${PYTHON_TAG}-${PYTHON_TAG}-manylinux_2_28_${ARCH}.whl"; \
elif [ "$PYTHON_TAG" = "cp311" ] && [ "$ARCH" = "aarch64" ]; then PTA_WHEEL="torch_npu-2.9.0.post1%2Bgitee7ba04-${PYTHON_TAG}-${PYTHON_TAG}-manylinux_2_28_${ARCH}.whl"; \
else echo "Unsupported PYTHON_TAG=$PYTHON_TAG ARCH=$ARCH"; exit 1; fi && \
\
python3 -m pip install "https://vllm-ascend.obs.cn-north-4.myhuaweicloud.com/vllm-ascend/${PTA_WHEEL}" && \
[Platform] Add initial experimental support for Altlas 300I series (#1333) ### What this PR does / why we need it? Add initial experimental support for Ascend 310P, this patch squash below PR into one to help validation: - https://github.com/vllm-project/vllm-ascend/pull/914 - https://github.com/vllm-project/vllm-ascend/pull/1318 - https://github.com/vllm-project/vllm-ascend/pull/1327 ### Does this PR introduce _any_ user-facing change? User can run vLLM on Altlas 300I DUO series ### How was this patch tested? CI passed with: - E2E image build for 310P - CI test on A2 with e2e test and longterm test - Unit test missing because need a real 310P image to have the test, will add in a separate PR later. - Manually e2e test: - Qwen2.5-7b-instruct, Qwen2.5-0.5b, Qwen3-0.6B, Qwen3-4B, Qwen3-8B: https://github.com/vllm-project/vllm-ascend/pull/914#issuecomment-2942989322 - Pangu MGoE 72B The patch has been tested locally on Ascend 310P hardware to ensure that the changes do not break existing functionality and that the new features work as intended. #### ENV information CANN, NNAL version: 8.1.RC1 > [!IMPORTANT] > PTA 2.5.1 version >= torch_npu-2.5.1.post1.dev20250528 to support NZ format and calling NNAL operators on 310P #### Code example ##### Build vllm-ascend from source code ```shell # download source code as vllm-ascend cd vllm-ascend export SOC_VERSION=Ascend310P3 pip install -v -e . cd .. ``` ##### Run offline inference ```python from vllm import LLM, SamplingParams prompts = ["水的沸点是100摄氏度吗?请回答是或者否。", "若腋下体温为38摄氏度,请问这人是否发烧?请回答是或者否。", "水的沸点是100摄氏度吗?请回答是或者否。", "若腋下体温为38摄氏度,请问这人是否发烧?请回答是或者否。"] # Create a sampling params object. sampling_params = SamplingParams(temperature=0.0, top_p=0.95, max_tokens=10) # Create an LLM. llm = LLM( model="Qwen/Qwen2.5-7B-Instruct", max_model_len=4096, max_num_seqs=4, dtype="float16", # IMPORTANT cause some ATB ops cannot support bf16 on 310P disable_custom_all_reduce=True, trust_remote_code=True, tensor_parallel_size=2, compilation_config={"custom_ops":['none', "+rms_norm", "+rotary_embedding"]}, ) # Generate texts from the prompts. outputs = llm.generate(prompts, sampling_params) for output in outputs: prompt = output.prompt generated_text = output.outputs[0].text print(f"Prompt: {prompt!r}, Generated text: {generated_text!r}") ``` --------- Signed-off-by: Vincent Yuan <farawayboat@gmail.com> Signed-off-by: Yikun Jiang <yikunkero@gmail.com> Signed-off-by: angazenn <zengyanjia@huawei.com> Co-authored-by: Vincent Yuan <farawayboat@gmail.com> Co-authored-by: angazenn <zengyanjia@huawei.com> Co-authored-by: wangxiyuan <wangxiyuan1007@gmail.com> Co-authored-by: leo-pony <nengjunma@outlook.com> Co-authored-by: shen-shanshan <467638484@qq.com>
2025-06-21 09:00:16 +08:00
python3 -m pip cache purge
# Install modelscope (for fast download) and ray (for multinode)
RUN python3 -m pip install modelscope 'ray>=2.47.1,<=2.48.0' 'protobuf>3.20.0' && \
python3 -m pip cache purge
RUN echo "export LD_PRELOAD=/usr/lib/$(uname -m)-linux-gnu/libjemalloc.so.2:$LD_PRELOAD" >> ~/.bashrc
RUN echo "export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/usr/local/lib" >> ~/.bashrc
[Platform] Add initial experimental support for Altlas 300I series (#1333) ### What this PR does / why we need it? Add initial experimental support for Ascend 310P, this patch squash below PR into one to help validation: - https://github.com/vllm-project/vllm-ascend/pull/914 - https://github.com/vllm-project/vllm-ascend/pull/1318 - https://github.com/vllm-project/vllm-ascend/pull/1327 ### Does this PR introduce _any_ user-facing change? User can run vLLM on Altlas 300I DUO series ### How was this patch tested? CI passed with: - E2E image build for 310P - CI test on A2 with e2e test and longterm test - Unit test missing because need a real 310P image to have the test, will add in a separate PR later. - Manually e2e test: - Qwen2.5-7b-instruct, Qwen2.5-0.5b, Qwen3-0.6B, Qwen3-4B, Qwen3-8B: https://github.com/vllm-project/vllm-ascend/pull/914#issuecomment-2942989322 - Pangu MGoE 72B The patch has been tested locally on Ascend 310P hardware to ensure that the changes do not break existing functionality and that the new features work as intended. #### ENV information CANN, NNAL version: 8.1.RC1 > [!IMPORTANT] > PTA 2.5.1 version >= torch_npu-2.5.1.post1.dev20250528 to support NZ format and calling NNAL operators on 310P #### Code example ##### Build vllm-ascend from source code ```shell # download source code as vllm-ascend cd vllm-ascend export SOC_VERSION=Ascend310P3 pip install -v -e . cd .. ``` ##### Run offline inference ```python from vllm import LLM, SamplingParams prompts = ["水的沸点是100摄氏度吗?请回答是或者否。", "若腋下体温为38摄氏度,请问这人是否发烧?请回答是或者否。", "水的沸点是100摄氏度吗?请回答是或者否。", "若腋下体温为38摄氏度,请问这人是否发烧?请回答是或者否。"] # Create a sampling params object. sampling_params = SamplingParams(temperature=0.0, top_p=0.95, max_tokens=10) # Create an LLM. llm = LLM( model="Qwen/Qwen2.5-7B-Instruct", max_model_len=4096, max_num_seqs=4, dtype="float16", # IMPORTANT cause some ATB ops cannot support bf16 on 310P disable_custom_all_reduce=True, trust_remote_code=True, tensor_parallel_size=2, compilation_config={"custom_ops":['none', "+rms_norm", "+rotary_embedding"]}, ) # Generate texts from the prompts. outputs = llm.generate(prompts, sampling_params) for output in outputs: prompt = output.prompt generated_text = output.outputs[0].text print(f"Prompt: {prompt!r}, Generated text: {generated_text!r}") ``` --------- Signed-off-by: Vincent Yuan <farawayboat@gmail.com> Signed-off-by: Yikun Jiang <yikunkero@gmail.com> Signed-off-by: angazenn <zengyanjia@huawei.com> Co-authored-by: Vincent Yuan <farawayboat@gmail.com> Co-authored-by: angazenn <zengyanjia@huawei.com> Co-authored-by: wangxiyuan <wangxiyuan1007@gmail.com> Co-authored-by: leo-pony <nengjunma@outlook.com> Co-authored-by: shen-shanshan <467638484@qq.com>
2025-06-21 09:00:16 +08:00
CMD ["/bin/bash"]