解析了一个14M的pdf文件，里面都是文字形式的图片，解析特别慢，大概等了20分钟，查看日志发现 没有用到dcu，用的cpu，服务器是有两个dcu设备的，实在不知道哪儿的问题，我把容器信息和日志信息分别贴出来，请帮忙看看。

下面是 容器信息：

[

{

"Id": "80d25d78a3790409da50d5f07ced881d9594116b38645045bb67c3a299f89a1f",

"Created": "2025-12-13T04:29:51.616829529Z",

"Path": "docker-entrypoint.sh",

"Args": [

"python",

"/root/server.py"

],

"State": {

"Status": "running",

"Running": true,

"Paused": false,

"Restarting": false,

"OOMKilled": false,

"Dead": false,

"Pid": 370418,

"ExitCode": 0,

"Error": "",

"StartedAt": "2026-01-08T10:58:39.711482872Z",

"FinishedAt": "2025-12-21T01:41:22.950776207Z"

},

"Image": "sha256:4b27016377d6acf148ad1c81efdd1a035310f98f5d1f37605abdf079a7a8cc06",

"ResolvConfPath": "/var/lib/docker/containers/80d25d78a3790409da50d5f07ced881d9594116b38645045bb67c3a299f89a1f/resolv.conf",

"HostnamePath": "/var/lib/docker/containers/80d25d78a3790409da50d5f07ced881d9594116b38645045bb67c3a299f89a1f/hostname",

"HostsPath": "/var/lib/docker/containers/80d25d78a3790409da50d5f07ced881d9594116b38645045bb67c3a299f89a1f/hosts",

"LogPath": "/var/lib/docker/containers/80d25d78a3790409da50d5f07ced881d9594116b38645045bb67c3a299f89a1f/80d25d78a3790409da50d5f07ced881d9594116b38645045bb67c3a299f89a1f-json.log",

"Name": "/pdf-parse",

"RestartCount": 0,

"Driver": "overlay2",

"Platform": "linux",

"MountLabel": "",

"ProcessLabel": "",

"AppArmorProfile": "",

"ExecIDs": null,

"HostConfig": {

"Binds": [

"/opt/hyhal:/opt/hyhal:ro"

],

"ContainerIDFile": "",

"LogConfig": {

"Type": "json-file",

"Config": {}

},

"NetworkMode": "network-wwj",

"PortBindings": {},

"RestartPolicy": {

"Name": "no",

"MaximumRetryCount": 0

},

"AutoRemove": false,

"VolumeDriver": "",

"VolumesFrom": null,

"ConsoleSize": [

38,

135

],

"CapAdd": [

"SYS_PTRACE"

],

"CapDrop": null,

"CgroupnsMode": "host",

"Dns": [],

"DnsOptions": [],

"DnsSearch": [],

"ExtraHosts": null,

"GroupAdd": null,

"IpcMode": "private",

"Cgroup": "",

"Links": null,

"OomScoreAdj": 0,

"PidMode": "",

"Privileged": true,

"PublishAllPorts": false,

"ReadonlyRootfs": false,

"SecurityOpt": [

"seccomp=unconfined",

"label=disable"

],

"UTSMode": "",

"UsernsMode": "",

"ShmSize": 17179869184,

"Runtime": "runc",

"Isolation": "",

"CpuShares": 0,

"Memory": 0,

"NanoCpus": 0,

"CgroupParent": "",

"BlkioWeight": 0,

"BlkioWeightDevice": [],

"BlkioDeviceReadBps": [],

"BlkioDeviceWriteBps": [],

"BlkioDeviceReadIOps": [],

"BlkioDeviceWriteIOps": [],

"CpuPeriod": 0,

"CpuQuota": 0,

"CpuRealtimePeriod": 0,

"CpuRealtimeRuntime": 0,

"CpusetCpus": "",

"CpusetMems": "",

"Devices": [

{

"PathOnHost": "/dev/kfd",

"PathInContainer": "/dev/kfd",

"CgroupPermissions": "rwm"

},

{

"PathOnHost": "/dev/dri",

"PathInContainer": "/dev/dri",

"CgroupPermissions": "rwm"

}

],

"DeviceCgroupRules": null,

"DeviceRequests": null,

"MemoryReservation": 0,

"MemorySwap": 0,

"MemorySwappiness": null,

"OomKillDisable": false,

"PidsLimit": null,

"Ulimits": [],

"CpuCount": 0,

"CpuPercent": 0,

"IOMaximumIOps": 0,

"IOMaximumBandwidth": 0,

"MaskedPaths": null,

"ReadonlyPaths": null

},

"GraphDriver": {

"Data": {

"LowerDir": "/var/lib/docker/overlay2/d1ac21091d3ac49154fdb1ac06684a75da416729cc931892f0aada18c346b2d6-init/diff:/var/lib/docker/overlay2/9244a41ea7f12d14d6f506718d06cf1ee6affa0c1c2526fbdd32c6d6355856c9/diff:/var/lib/docker/overlay2/270cf27d7629717c7283d98d2229cd4c30f1f99ab6045d39f9df1d9601d42b08/diff:/var/lib/docker/overlay2/a1ef5425835201abb013e8f6a8652dc2e478433f6b2a8ef47eec2972931f063b/diff:/var/lib/docker/overlay2/756936231fc027c8aa0b24308a830991e819ad95f827ce6427a936220410d824/diff:/var/lib/docker/overlay2/a414ee64894e4a8d197c7204e1fa9c1dae26f87c3981fd97338eb80fe3bc9d32/diff:/var/lib/docker/overlay2/1fdd7c77a6eefe3db7fa8fa967559e52f220e3afa8ed5149ff9449ed8c37ad4a/diff:/var/lib/docker/overlay2/763f495a6892d83b2794b2bc0db1a30aa7e9485d661c6538e462ef732a4f4bc5/diff:/var/lib/docker/overlay2/a2370eafc6519b32eb89d81add9071c176807b722e2685299a4303ece747d960/diff:/var/lib/docker/overlay2/0f1cced87660f12af5af7c87c7c976da40939fb774d94a455f28d079f83776ab/diff:/var/lib/docker/overlay2/34680625b310b38c718b27f118413e79e6d261300c6ea3f83d4aaacb5b6cc3fc/diff:/var/lib/docker/overlay2/d2c10be39d348797df037545fedb57e926d9cffc2d02e56ff1d8740c103e4712/diff:/var/lib/docker/overlay2/2d76db33e815c629cee69ff65ddd50127ff61562381cff093aa01b62fef7f1a6/diff:/var/lib/docker/overlay2/2e4a9454e5e0d42f091d3da0bc5b7a727b6d2e115073ef43061b5961131a1324/diff:/var/lib/docker/overlay2/6900bd0b3abc884444ed4d290515f3e386cfa13303ffbb8c3f394b95477f4cd6/diff:/var/lib/docker/overlay2/0b30a3b75cd57209a4ca972b8e79c39fa62233b0b5a9ce9e3b3702c823b3d0bb/diff:/var/lib/docker/overlay2/055fe00f0cbc13bfe0aa9220adf867dd9c73fbae11e3f039461c2f527a33d9b7/diff:/var/lib/docker/overlay2/0b70e169b5db553048ca11c8e7d5fd16e0b0245b548a4577d4c7e56feaf69a4d/diff:/var/lib/docker/overlay2/d968b5e22df92f361847e84b42054962001c22e6c4585a4ca7dfde24a968935a/diff:/var/lib/docker/overlay2/d7a2d2503001f308d69484da84b290429e9922fd3c4cedc9d1be013568875a61/diff:/var/lib/docker/overlay2/a4080e51f78df3d79ab8c1e62c16eb60bfea7672b375cc978115727c4348ebdd/diff:/var/lib/docker/overlay2/daeb3f20fa0e75fef734ee4ba151d0c6b09a216f035d6d5b6318ca080f1f4194/diff:/var/lib/docker/overlay2/3efc4b984756b54a32c9ce5bded5b6c6e3e0aebdd77788e3043e4602d5b009b9/diff:/var/lib/docker/overlay2/91b92852f00160de72780b3782f964d87fe9e873acdd6ed3b352043ed5d0c0b8/diff:/var/lib/docker/overlay2/e68abed635c7a3e06c15dbb76d9b753238a435f9e95d47f4b67bf8d9abc36230/diff:/var/lib/docker/overlay2/74d31c29d9921e9f6858a8294c616bb659c26a5a7a649a2d7f51fa284d58e7e8/diff:/var/lib/docker/overlay2/88111cc0a1234c24710f9020308530f914a7538a32d0c53e8e8b650540f2a2ba/diff:/var/lib/docker/overlay2/bc897692813e1b306ed942ecc6debf4ac7ba2f833d1e2ea31218d8b5b78c5f46/diff:/var/lib/docker/overlay2/6fdd9621d852ee798c2cd43ce48e2e624fe216c50a6309247314d93b878e673a/diff:/var/lib/docker/overlay2/e5a37042cb86bf220bffec809134290357ad5a29874771ac35e03d0c2f198b78/diff:/var/lib/docker/overlay2/18a3430d85ee60c796b0148257525528101274ecf72fed0cc948a1ada0201902/diff:/var/lib/docker/overlay2/3f1632a4aa958c6f016036b4a064f196641431820be210f3634d4d12c64105b1/diff",

"MergedDir": "/var/lib/docker/overlay2/d1ac21091d3ac49154fdb1ac06684a75da416729cc931892f0aada18c346b2d6/merged",

"UpperDir": "/var/lib/docker/overlay2/d1ac21091d3ac49154fdb1ac06684a75da416729cc931892f0aada18c346b2d6/diff",

"WorkDir": "/var/lib/docker/overlay2/d1ac21091d3ac49154fdb1ac06684a75da416729cc931892f0aada18c346b2d6/work"

},

"Name": "overlay2"

},

"Mounts": [

{

"Type": "bind",

"Source": "/opt/hyhal",

"Destination": "/opt/hyhal",

"Mode": "ro",

"RW": false,

"Propagation": "rprivate"

}

],

"Config": {

"Hostname": "80d25d78a379",

"Domainname": "",

"User": "",

"AttachStdin": false,

"AttachStdout": false,

"AttachStderr": false,

"Tty": true,

"OpenStdin": true,

"StdinOnce": false,

"Env": [

"PORT=9911",

"HIP_VISIBLE_DEVICES=3",

"PATH=/opt/ucx/bin:/opt/dtk/bin:/opt/dtk/llvm/bin:/opt/dtk/hip/bin:/opt/dtk/hip/bin/hipify:/opt/hyhal/bin:/opt/mpi/bin:/opt/hwloc/bin/:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin",

"TZ=Asia/Shanghai",

"SHELL=/bin/bash",

"LC_ALL=en_US.UTF-8",

"LANG=en_US.UTF-8",

"LANGUAGE=en_US.UTF-8",

"LD_LIBRARY_PATH=/opt/ucx/lib:/opt/dtk/hip/lib:/opt/dtk/llvm/lib:/opt/dtk/lib:/opt/dtk/lib64:/opt/hyhal/lib:/opt/hyhal/lib64:/opt/mpi/lib:/opt/hwloc/lib:",

"MANPATH=/opt/mpi/share/man:",

"HYHAL_PATH=/opt/hyhal",

"DTKROOT=/opt/dtk",

"AMDGPU_TARGETS=gfx906;gfx926;gfx928;gfx936",

"ROCM_PATH=/opt/dtk",

"HIP_PATH=/opt/dtk/hip",

"MIOPEN_FIND_MODE=3",

"C_INCLUDE_PATH=/opt/dtk/include:/opt/hyhal/include:/opt/dtk/llvm/include:",

"CPLUS_INCLUDE_PATH=/opt/dtk/include:/opt/hyhal/include:/opt/dtk/llvm/include:",

"MOFED_VERSION=23.10-4.0.9.1",

"OS_VERSION=ubuntu22.04",

"PLATFORM=x86_64",

"UCX_HOME=/opt/ucx"

],

"Cmd": [

"python",

"/root/server.py"

],

"Image": "harbor.sourcefind.cn:5443/dap/pdf-parser:mineru-2.5.4-v2.1",

"Volumes": null,

"WorkingDir": "/workspace",

"Entrypoint": [

"docker-entrypoint.sh"

],

"OnBuild": null,

"Labels": {

"dtk-version": "dtk-25.04.1",

"maintainer": "chenwch1@sugon.com",

"org.opencontainers.image.ref.name": "ubuntu",

"org.opencontainers.image.version": "22.04"

}

},

"NetworkSettings": {

"Bridge": "",

"SandboxID": "0cda244317532812fa0433e5503b96216bb2547d3bb912035fd43c180bacf1a9",

"SandboxKey": "/var/run/docker/netns/0cda24431753",

"Ports": {},

"HairpinMode": false,

"LinkLocalIPv6Address": "",

"LinkLocalIPv6PrefixLen": 0,

"SecondaryIPAddresses": null,

"SecondaryIPv6Addresses": null,

"EndpointID": "",

"Gateway": "",

"GlobalIPv6Address": "",

"GlobalIPv6PrefixLen": 0,

"IPAddress": "",

"IPPrefixLen": 0,

"IPv6Gateway": "",

"MacAddress": "",

"Networks": {

"network-wwj": {

"IPAMConfig": null,

"Links": null,

"Aliases": null,

"MacAddress": "02:42:ac:13:00:0a",

"NetworkID": "78cc4b43e426e0c88c10539b1cf3b9c785b762707f665be1c67474f75a032b66",

"EndpointID": "d5cb50773fe3a377388390e76e6b33b34e386c85eedd4170c07edb29d5f1dbe1",

"Gateway": "172.19.0.1",

"IPAddress": "172.19.0.10",

"IPPrefixLen": 16,

"IPv6Gateway": "",

"GlobalIPv6Address": "",

"GlobalIPv6PrefixLen": 0,

"DriverOpts": null,

"DNSNames": [

"pdf-parse",

"80d25d78a379"

]

}

}

}

}

]

日志信息如下：

DTK version 25.04.1 pytorch version 2.4.1 2 DCU were detected in the container. NOTE: Make sure the user is in the 39 group. For more information, please go to https://developer.hpccube.com/ INFO:     Started server process [1] INFO:     Waiting for application startup. INFO:     Application startup complete. INFO:     Uvicorn running on http://0.0.0.0:9911 (Press CTRL+C to quit) 2026-01-08 18:59:18.726 | INFO     | \_\_main\_\_:process:95 - 正在处理文件: 关于进一步提高公文办理质量和效率的通知.pdf 2026-01-08 18:59:35.745 | INFO     | mineru.backend.pipeline.pipeline\_analyze:doc\_analyze:125 - Batch 1/1: 42 pages/42 pages 2026-01-08 18:59:35.747 | INFO     | mineru.backend.pipeline.model\_init:\_\_init\_\_:192 - DocAnalysis init, this may take some times...... [2026-01-08 18:59:44,275] [WARNING] [real\_accelerator.py:162:get\_accelerator] Setting accelerator to CPU. If you have GPU or other accelerator, we were unable to detect it. [2026-01-08 18:59:44,277] [INFO] [real\_accelerator.py:203:get\_accelerator] Setting ds\_accelerator to cpu (auto detect) /usr/local/lib/python3.10/dist-packages/mineru/model/ocr/paddleocr2pytorch/pytorchocr/base\_ocr\_v20.py:18: FutureWarning: You are using \`torch.load\` with \`weights\_only=False\` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for \`weights\_only\` will be flipped to \`True\`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via \`torch.serialization.add\_safe\_globals\`. We recommend you start setting \`weights\_only=True\` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.   weights = torch.load(weights\_path) 2026-01-08 18:59:56.130 | INFO     | mineru.backend.pipeline.model\_init:\_\_init\_\_:248 - DocAnalysis init done! 2026-01-08 18:59:56.131 | INFO     | mineru.backend.pipeline.pipeline\_analyze:custom\_model\_init:65 - model init cost: 20.383466005325317 Layout Predict: 100%|██████████████████████████████████████████████████████████████████████████████████| 42/42 [03:43<00:00,  5.32s/it] MFD Predict: 100%|█████████████████████████████████████████████████████████████████████████████████████| 42/42 [07:09<00:00, 10.23s/it] MFR Predict: 100%|███████████████████████████████████████████████████████████████████████████████████████| 2/2 [00:06<00:00,  3.02s/it] Table-ocr det: 100%|█████████████████████████████████████████████████████████████████████████████████████| 2/2 [00:02<00:00,  1.42s/it] /usr/local/lib/python3.10/dist-packages/mineru/model/ocr/paddleocr2pytorch/pytorchocr/base\_ocr\_v20.py:18: FutureWarning: You are using \`torch.load\` with \`weights\_only=False\` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for \`weights\_only\` will be flipped to \`True\`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via \`torch.serialization.add\_safe\_globals\`. We recommend you start setting \`weights\_only=True\` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.   weights = torch.load(weights\_path) Table-ocr rec ch: 100%|████████████████████████████████████████████████████████████████████████████████| 68/68 [00:27<00:00,  2.49it/s] Table-wireless Predict: 100%|████████████████████████████████████████████████████████████████████████████| 2/2 [00:00<00:00,  3.43it/s] Table-wired Predict: 100%|███████████████████████████████████████████████████████████████████████████████| 2/2 [00:01<00:00,  1.03it/s] /usr/local/lib/python3.10/dist-packages/mineru/model/ocr/paddleocr2pytorch/pytorchocr/base\_ocr\_v20.py:18: FutureWarning: You are using \`torch.load\` with \`weights\_only=False\` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for \`weights\_only\` will be flipped to \`True\`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via \`torch.serialization.add\_safe\_globals\`. We recommend you start setting \`weights\_only=True\` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.   weights = torch.load(weights\_path)