You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
{{ message }}
Repository navigation
[Bug]: Unable to pull Docker image or start Docker service #339
Thanks, assigned. Please make the current code and runtime behavior the source of truth: verify the image name, startup command, port, and CPU/GPU boundary from a clean environment. In the docs, distinguish verified paths from unavailable public-image paths. Please include reproducible commands and relevant output or test evidence in the PR. This issue will remain open until the original reporter confirms the documented path.
I re-checked from a clean amd64 box (Docker 28.2.2). Anonymous pulls are still 401 for both registry.cn-hangzhou.aliyuncs.com/funasr/sensevoice:latest and ghcr.io/qwenaudio/sensevoice:latest. Those paths stay undocumented.
What was still wrong on current main, after #347 / #350:
English GPU docker run dropped the model volume and --rm, so it did not match the command you posted.
docker-compose.yaml reserved every GPU, so docker compose up --build fails on a host without NVIDIA.
The image default SENSEVOICE_DEVICE=auto was passed straight into FunASR. That is not a device string and is the CPU start path.
The PR aligns the English/CONTRIBUTING run lines with the verified zh/ja command, makes compose start without a GPU reservation, and maps auto to cuda:0 or cpu. Contract tests pin that so the docs cannot drift back to Aliyun / anonymous GHCR / port 60001.
Verified local path, same as your last note:
git clone https://github.com/QwenAudio/SenseVoice.git
cd SenseVoice
docker build -t sensevoice .
docker run --rm --gpus all -p 50000:50000 -v sensevoice-models:/models sensevoice
CPU: drop --gpus all and add -e SENSEVOICE_DEVICE=cpu. Then http://127.0.0.1:50000/docs.
@YuLianga if you can run that and paste docker build / docker run output, we will know whether the original start failure is gone. I would keep this issue open until then.
Update: #351 is now merged in main at 7b402c8910700105097c203f5b38dfe049d698dd. The exact-main local-build route now also resolves the image default SENSEVOICE_DEVICE=auto to cuda:0 when CUDA is available or cpu otherwise, and docker compose up --build no longer requires an NVIDIA runtime.
The focused container/device contract suite passed on the merged PR head. Public GHCR and the retired Aliyun image path still return anonymous 401, so this does not claim that docker pull is fixed. This issue remains open for your clean-environment retest with the current main commands and logs if it still fails.
Thanks for merging the PR. I'll retest the local build path on a clean environment using the updated main commands. I'll share the logs if I encounter any issues.
Activity
LauraGPT commentedon Aug 29, 2026
重新打开。这个 bug 在创建后十几秒内、没有任何诊断回复的情况下被标记 completed,处理明显过快。
请补充完整的
docker pull/docker run输出、宿主机架构和 Docker 版本;我们会同时核对文档中镜像仓库与实际可拉取 tag。没有可复现结论或报告者确认前不再关闭。LauraGPT commentedon Aug 30, 2026
我补做了仓库侧验证,不再只等待截图:
registry.cn-hangzhou.aliyuncs.com/v2/funasr/sensevoice/manifests/latest发起匿名 registry v2 manifest 请求,registry 返回401 authentication required;按它给出的 auth realm 获取匿名 token 后再次请求仍为401。这说明该latest路径目前不能作为公开免登录镜像使用。README.md(cef383ac)也没有把这个 registry 地址列为官方预构建镜像,而是要求从仓库 Dockerfile 本地构建。50000,不是 issue 示例里的60001。当前可执行的官方路径是:
因此这里至少有两个独立问题:旧 registry 镜像并非公开可拉取,以及示例端口与当前服务不一致。issue 继续保持打开;请报告者确认上述本地构建路径是否能启动,并贴出完整输出。若项目后续恢复公开镜像,我们再在 README 中发布经过 manifest/pull 验证的准确 tag,而不是继续引用当前不可匿名访问的
latest。LauraGPT commentedon Aug 30, 2026
补充并更正当前容器发布状态:
请先按 README 的本地构建路径复测启动。这个 issue 保持开放:一条线等待你确认本地构建是否可用,另一条线继续处理 GHCR Public 可见性。
docs(container): stop advertising private GHCR pulls
modelpath-dev commentedon Sep 4, 2026
I'll work on this. Could you assign it to me?
I'll fix the docs to match the current code and add a short note so this does not rot again.
LauraGPT commentedon Sep 4, 2026
Thanks, assigned. Please make the current code and runtime behavior the source of truth: verify the image name, startup command, port, and CPU/GPU boundary from a clean environment. In the docs, distinguish verified paths from unavailable public-image paths. Please include reproducible commands and relevant output or test evidence in the PR. This issue will remain open until the original reporter confirms the documented path.
LauraGPT commentedon Sep 4, 2026
已合并修复文档入口:main@e8bdeb0(PR #350)。英文、中文、日文现在一致:当前
ghcr.io/qwenaudio/sensevoice包为 private,匿名 pull 会 401;请不要再使用旧的阿里云镜像地址或匿名 GHCR pull。\n\n请从干净目录按当前 main 本地构建并启动:\n\nbash\ngit clone https://github.com/QwenAudio/SenseVoice.git\ncd SenseVoice\ndocker build -t sensevoice .\ndocker run --rm --gpus all -p 50000:50000 -v sensevoice-models:/models sensevoice\n\n\nCPU 环境请把--gpus all替换为-e SENSEVOICE_DEVICE=cpu。容器 healthy 后打开http://127.0.0.1:50000/docs。容器构建 contract 与 GitHub Docker build 均已在 PR head 通过。\n\n此 issue 保持 open,等待你按以上 exact main 命令的实际复测结果;若仍失败,请贴完整docker build/docker run输出、Docker 版本和 GPU/CPU 环境。modelpath-dev commentedon Sep 4, 2026
PR is up: #351
I re-checked from a clean amd64 box (Docker 28.2.2). Anonymous pulls are still 401 for both
registry.cn-hangzhou.aliyuncs.com/funasr/sensevoice:latestandghcr.io/qwenaudio/sensevoice:latest. Those paths stay undocumented.What was still wrong on current main, after #347 / #350:
docker rundropped the model volume and--rm, so it did not match the command you posted.docker-compose.yamlreserved every GPU, sodocker compose up --buildfails on a host without NVIDIA.SENSEVOICE_DEVICE=autowas passed straight into FunASR. That is not a device string and is the CPU start path.The PR aligns the English/CONTRIBUTING run lines with the verified zh/ja command, makes compose start without a GPU reservation, and maps
autotocuda:0orcpu. Contract tests pin that so the docs cannot drift back to Aliyun / anonymous GHCR / port 60001.Verified local path, same as your last note:
CPU: drop
--gpus alland add-e SENSEVOICE_DEVICE=cpu. Thenhttp://127.0.0.1:50000/docs.@YuLianga if you can run that and paste
docker build/docker runoutput, we will know whether the original start failure is gone. I would keep this issue open until then.LauraGPT commentedon Sep 5, 2026
Update: #351 is now merged in main at
7b402c8910700105097c203f5b38dfe049d698dd. The exact-main local-build route now also resolves the image defaultSENSEVOICE_DEVICE=autotocuda:0when CUDA is available orcpuotherwise, anddocker compose up --buildno longer requires an NVIDIA runtime.The focused container/device contract suite passed on the merged PR head. Public GHCR and the retired Aliyun image path still return anonymous 401, so this does not claim that
docker pullis fixed. This issue remains open for your clean-environment retest with the current main commands and logs if it still fails.modelpath-dev commentedon Sep 5, 2026
Thanks for merging the PR. I'll retest the local build path on a clean environment using the updated main commands. I'll share the logs if I encounter any issues.
Merge origin/main: 同步上游(timestamps 对齐 FunASR + .dockerignore + SER be…
compose: 双 service 移除 GPU reservation,吸收上游 issue QwenAudio#339 语义