docker.io/infiniflow/text-embeddings-inference:cpu-1.8 linux/amd64

Docker拉取命令

docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/infiniflow/text-embeddings-inference:cpu-1.8
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/infiniflow/text-embeddings-inference:cpu-1.8  docker.io/infiniflow/text-embeddings-inference:cpu-1.8

Containerd拉取命令

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/infiniflow/text-embeddings-inference:cpu-1.8
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/infiniflow/text-embeddings-inference:cpu-1.8  docker.io/infiniflow/text-embeddings-inference:cpu-1.8

Shell快速替换命令

sed -i 's#infiniflow/text-embeddings-inference:cpu-1.8#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/infiniflow/text-embeddings-inference:cpu-1.8#' deployment.yaml

Ansible快速分发-Docker

#ansible k8s -m shell -a 'docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/infiniflow/text-embeddings-inference:cpu-1.8 && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/infiniflow/text-embeddings-inference:cpu-1.8  docker.io/infiniflow/text-embeddings-inference:cpu-1.8'

Ansible快速分发-Containerd

#ansible k8s -m shell -a 'ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/infiniflow/text-embeddings-inference:cpu-1.8 && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/infiniflow/text-embeddings-inference:cpu-1.8  docker.io/infiniflow/text-embeddings-inference:cpu-1.8'

镜像构建历史

# 2025-10-20 19:53:45  6.20GB 复制新文件或目录到容器中
COPY tei_data /data # buildkit
                        
# 2025-09-09 22:40:32  0.00B 设置默认要执行的命令
CMD ["--json-output"]
                        
# 2025-09-09 22:40:32  0.00B 配置容器启动时运行的命令
ENTRYPOINT ["text-embeddings-router"]
                        
# 2025-09-09 22:40:32  71.54MB 复制新文件或目录到容器中
COPY /usr/src/target/release/text-embeddings-router /usr/local/bin/text-embeddings-router # buildkit
                        
# 2025-09-09 15:10:50  15.03KB 复制新文件或目录到容器中
COPY /usr/src/libfakeintel.so /usr/local/libfakeintel.so # buildkit
                        
# 2025-09-09 15:10:50  65.71MB 复制新文件或目录到容器中
COPY /opt/intel/oneapi/mkl/latest/lib/intel64/libmkl_avx512.so.2 /usr/local/lib/libmkl_avx512.so.2 # buildkit
                        
# 2025-09-09 15:10:50  48.84MB 复制新文件或目录到容器中
COPY /opt/intel/oneapi/mkl/latest/lib/intel64/libmkl_avx2.so.2 /usr/local/lib/libmkl_avx2.so.2 # buildkit
                        
# 2025-09-09 15:10:50  14.25MB 复制新文件或目录到容器中
COPY /opt/intel/oneapi/mkl/latest/lib/intel64/libmkl_vml_avx512.so.2 /usr/local/lib/libmkl_vml_avx512.so.2 # buildkit
                        
# 2025-09-09 15:10:50  14.79MB 复制新文件或目录到容器中
COPY /opt/intel/oneapi/mkl/latest/lib/intel64/libmkl_vml_avx2.so.2 /usr/local/lib/libmkl_vml_avx2.so.2 # buildkit
                        
# 2025-09-09 15:10:50  41.16MB 复制新文件或目录到容器中
COPY /opt/intel/oneapi/mkl/latest/lib/intel64/libmkl_def.so.2 /usr/local/lib/libmkl_def.so.2 # buildkit
                        
# 2025-09-09 15:10:50  8.75MB 复制新文件或目录到容器中
COPY /opt/intel/oneapi/mkl/latest/lib/intel64/libmkl_vml_def.so.2 /usr/local/lib/libmkl_vml_def.so.2 # buildkit
                        
# 2025-09-09 15:10:50  71.24MB 复制新文件或目录到容器中
COPY /opt/intel/oneapi/mkl/latest/lib/intel64/libmkl_core.so.2 /usr/local/lib/libmkl_core.so.2 # buildkit
                        
# 2025-09-09 15:10:50  41.93MB 复制新文件或目录到容器中
COPY /opt/intel/oneapi/mkl/latest/lib/intel64/libmkl_intel_thread.so.2 /usr/local/lib/libmkl_intel_thread.so.2 # buildkit
                        
# 2025-09-09 15:10:50  24.38MB 复制新文件或目录到容器中
COPY /opt/intel/oneapi/mkl/latest/lib/intel64/libmkl_intel_lp64.so.2 /usr/local/lib/libmkl_intel_lp64.so.2 # buildkit
                        
# 2025-09-09 15:08:33  208.37MB 执行命令并创建新的镜像层
RUN /bin/sh -c apt-get update && DEBIAN_FRONTEND=noninteractive apt-get install -y --no-install-recommends     libomp-dev     ca-certificates     libssl-dev     curl     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2025-09-09 15:08:33  0.00B 设置环境变量 HUGGINGFACE_HUB_CACHE PORT MKL_ENABLE_INSTRUCTIONS RAYON_NUM_THREADS LD_PRELOAD LD_LIBRARY_PATH
ENV HUGGINGFACE_HUB_CACHE=/data PORT=80 MKL_ENABLE_INSTRUCTIONS=AVX512_E4 RAYON_NUM_THREADS=8 LD_PRELOAD=/usr/local/libfakeintel.so LD_LIBRARY_PATH=/usr/local/lib
                        
# 2025-09-08 08:00:00  74.81MB 
# debian.sh --arch 'amd64' out/ 'bookworm' '@1757289600'
                        
                    

镜像信息

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