GPU Job Doesn't Complete
Summary
GPU job created successfully when some suitable GPU peers came online. Job started, did some calcs but never completed
Steps to reproduce
What is the current bug behavior?
What is the expected correct behavior?
Job should complete and give the Job Completed message
Relevant logs and/or screenshots
nunet logs - no updates from docker container
NUNETLOGAPPEND==============1694105177741189848
Downloading ML model URL and dependencies...
NUNETLOGAPPEND==============1694105297936659030
Downloading ML model URL and dependencies...
NUNETLOGAPPEND==============1694105417597107936
Downloading ML model URL and dependencies...
NUNETLOGAPPEND==============1694105537482389259
Downloading ML model URL and dependencies...
Scanning ML model URL and dependencies for critical vulnerabilities...
NUNETLOGAPPEND==============1694105657578377659
Downloading ML model URL and dependencies...
Scanning ML model URL and dependencies for critical vulnerabilities...
Machine has a single NVIDIA GPU. Waiting for an optimal GPU state...
Selected Single GPU 0 (NVIDIA GeForce RTX 3070)...
Seems good..proceeding with job...
Device used: NVIDIA GeForce RTX 3070
Downloading https://www.cs.toronto.edu/~kriz/cifar-10-python.tar.gz to ./pytorch/cifar-10-python.tar.gz
Extracting ./pytorch/cifar-10-python.tar.gz to ./pytorch
Files already downloaded and verified
horse dog deer car
Epoch 1/2
NUNETLOGAPPEND==============1694105777605752715
Downloading ML model URL and dependencies...
Scanning ML model URL and dependencies for critical vulnerabilities...
Machine has a single NVIDIA GPU. Waiting for an optimal GPU state...
Selected Single GPU 0 (NVIDIA GeForce RTX 3070)...
Seems good..proceeding with job...
Device used: NVIDIA GeForce RTX 3070
Downloading https://www.cs.toronto.edu/~kriz/cifar-10-python.tar.gz to ./pytorch/cifar-10-python.tar.gz
Extracting ./pytorch/cifar-10-python.tar.gz to ./pytorch
Files already downloaded and verified
horse dog deer car
Epoch 1/2
NUNETLOGAPPEND==============1694105898468782590
Downloading ML model URL and dependencies...
Scanning ML model URL and dependencies for critical vulnerabilities...
Machine has a single NVIDIA GPU. Waiting for an optimal GPU state...
Selected Single GPU 0 (NVIDIA GeForce RTX 3070)...
Seems good..proceeding with job...
Device used: NVIDIA GeForce RTX 3070
Downloading https://www.cs.toronto.edu/~kriz/cifar-10-python.tar.gz to ./pytorch/cifar-10-python.tar.gz
Extracting ./pytorch/cifar-10-python.tar.gz to ./pytorch
Files already downloaded and verified
horse dog deer car
Epoch 1/2
NUNETLOGAPPEND==============1694106017661769436
Downloading ML model URL and dependencies...
Scanning ML model URL and dependencies for critical vulnerabilities...
Machine has a single NVIDIA GPU. Waiting for an optimal GPU state...
Selected Single GPU 0 (NVIDIA GeForce RTX 3070)...
Seems good..proceeding with job...
Device used: NVIDIA GeForce RTX 3070
Downloading https://www.cs.toronto.edu/~kriz/cifar-10-python.tar.gz to ./pytorch/cifar-10-python.tar.gz
Extracting ./pytorch/cifar-10-python.tar.gz to ./pytorch
Files already downloaded and verified
horse dog deer car
Epoch 1/2
NUNETLOGAPPEND==============1694106137567680406
Downloading ML model URL and dependencies...
Scanning ML model URL and dependencies for critical vulnerabilities...
Machine has a single NVIDIA GPU. Waiting for an optimal GPU state...
Selected Single GPU 0 (NVIDIA GeForce RTX 3070)...
Seems good..proceeding with job...
Device used: NVIDIA GeForce RTX 3070
Downloading https://www.cs.toronto.edu/~kriz/cifar-10-python.tar.gz to ./pytorch/cifar-10-python.tar.gz
Extracting ./pytorch/cifar-10-python.tar.gz to ./pytorch
Files already downloaded and verified
horse dog deer car
Epoch 1/2
[1, 2000] loss: 1.937
[1, 4000] loss: 1.632
[1, 6000] loss: 1.551
[1, 8000] loss: 1.488
[1, 10000] loss: 1.429
[1, 12000] loss: 1.422
Epoch 2/2
NUNETLOGAPPEND==============1694106257448993343
Downloading ML model URL and dependencies...
Scanning ML model URL and dependencies for critical vulnerabilities...
Machine has a single NVIDIA GPU. Waiting for an optimal GPU state...
Selected Single GPU 0 (NVIDIA GeForce RTX 3070)...
Seems good..proceeding with job...
Device used: NVIDIA GeForce RTX 3070
Downloading https://www.cs.toronto.edu/~kriz/cifar-10-python.tar.gz to ./pytorch/cifar-10-python.tar.gz
Extracting ./pytorch/cifar-10-python.tar.gz to ./pytorch
Files already downloaded and verified
horse dog deer car
Epoch 1/2
[1, 2000] loss: 1.937
[1, 4000] loss: 1.632
[1, 6000] loss: 1.551
[1, 8000] loss: 1.488
[1, 10000] loss: 1.429
[1, 12000] loss: 1.422
Epoch 2/2
NUNETLOGAPPEND==============1694106377530480937
Downloading ML model URL and dependencies...
Scanning ML model URL and dependencies for critical vulnerabilities...
Machine has a single NVIDIA GPU. Waiting for an optimal GPU state...
Selected Single GPU 0 (NVIDIA GeForce RTX 3070)...
Seems good..proceeding with job...
Device used: NVIDIA GeForce RTX 3070
Downloading https://www.cs.toronto.edu/~kriz/cifar-10-python.tar.gz to ./pytorch/cifar-10-python.tar.gz
Extracting ./pytorch/cifar-10-python.tar.gz to ./pytorch
Files already downloaded and verified
horse dog deer car
Epoch 1/2
[1, 2000] loss: 1.937
[1, 4000] loss: 1.632
[1, 6000] loss: 1.551
[1, 8000] loss: 1.488
[1, 10000] loss: 1.429
[1, 12000] loss: 1.422
Epoch 2/2
NUNETLOGAPPEND==============1694106497512418685
Downloading ML model URL and dependencies...
Scanning ML model URL and dependencies for critical vulnerabilities...
Machine has a single NVIDIA GPU. Waiting for an optimal GPU state...
Selected Single GPU 0 (NVIDIA GeForce RTX 3070)...
Seems good..proceeding with job...
Device used: NVIDIA GeForce RTX 3070
Downloading https://www.cs.toronto.edu/~kriz/cifar-10-python.tar.gz to ./pytorch/cifar-10-python.tar.gz
Extracting ./pytorch/cifar-10-python.tar.gz to ./pytorch
Files already downloaded and verified
horse dog deer car
Epoch 1/2
[1, 2000] loss: 1.937
[1, 4000] loss: 1.632
[1, 6000] loss: 1.551
[1, 8000] loss: 1.488
[1, 10000] loss: 1.429
[1, 12000] loss: 1.422
Epoch 2/2
[2, 2000] loss: 1.343
[2, 4000] loss: 1.332
[2, 6000] loss: 1.308
[2, 8000] loss: 1.301
[2, 10000] loss: 1.285
[2, 12000] loss: 1.260
Finished Training
GroundTruth: cat ship ship plane
Predicted: cat ship ship ship
Accuracy of the network on the 10000 test images: 53 %
NUNETLOGAPPEND==============1694106515108629187
Downloading ML model URL and dependencies...
Scanning ML model URL and dependencies for critical vulnerabilities...
Machine has a single NVIDIA GPU. Waiting for an optimal GPU state...
Selected Single GPU 0 (NVIDIA GeForce RTX 3070)...
Seems good..proceeding with job...
Device used: NVIDIA GeForce RTX 3070
Downloading https://www.cs.toronto.edu/~kriz/cifar-10-python.tar.gz to ./pytorch/cifar-10-python.tar.gz
Extracting ./pytorch/cifar-10-python.tar.gz to ./pytorch
Files already downloaded and verified
horse dog deer car
Epoch 1/2
[1, 2000] loss: 1.937
[1, 4000] loss: 1.632
[1, 6000] loss: 1.551
[1, 8000] loss: 1.488
[1, 10000] loss: 1.429
[1, 12000] loss: 1.422
Epoch 2/2
[2, 2000] loss: 1.343
[2, 4000] loss: 1.332
[2, 6000] loss: 1.308
[2, 8000] loss: 1.301
[2, 10000] loss: 1.285
[2, 12000] loss: 1.260
Finished Training
GroundTruth: cat ship ship plane
Predicted: cat ship ship ship
Accuracy of the network on the 10000 test images: 53 %
Accuracy of plane : 58 %
Accuracy of car : 40 %
Accuracy of bird : 37 %
Accuracy of cat : 24 %
Accuracy of deer : 40 %
Accuracy of dog : 41 %
Accuracy of frog : 75 %
Accuracy of horse : 59 %
Accuracy of ship : 84 %
Accuracy of truck : 72 %
****STDERR****
nunet logs - no updates from docker container
NUNETLOGAPPEND==============1694105657578377659
100%|██████████| 170498071/170498071 [00:37<00:00, 4525176.29it/s]
NUNETLOGAPPEND==============1694105777605752715
100%|██████████| 170498071/170498071 [00:37<00:00, 4525176.29it/s]
NUNETLOGAPPEND==============1694105898468782590
100%|██████████| 170498071/170498071 [00:37<00:00, 4525176.29it/s]
NUNETLOGAPPEND==============1694106017661769436
100%|██████████| 170498071/170498071 [00:37<00:00, 4525176.29it/s]
NUNETLOGAPPEND==============1694106137567680406
100%|██████████| 170498071/170498071 [00:37<00:00, 4525176.29it/s]
NUNETLOGAPPEND==============1694106257448993343
100%|██████████| 170498071/170498071 [00:37<00:00, 4525176.29it/s]
NUNETLOGAPPEND==============1694106377530480937
100%|██████████| 170498071/170498071 [00:37<00:00, 4525176.29it/s]
NUNETLOGAPPEND==============1694106497512418685
100%|██████████| 170498071/170498071 [00:37<00:00, 4525176.29it/s]
NUNETLOGAPPEND==============1694106515108629187
100%|██████████| 170498071/170498071 [00:37<00:00, 4525176.29it/s]
``` SOCKET Connection opened!
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>>>SOCKET: {"action": "connected", "message": "You are connected to DMS for docker (GPU/CPU) deployment."}
You are connected to DMS for docker (GPU/CPU) deployment.
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addr_test1wzxp2ysqcqh0fzk5agyp3ct4maafq90qtd4cnsukxxxp7dc7zqk5t
Array(2)
undefined
Object
Array(0)
Array(0)
Array(18)
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PeersPopup.jsx:110 Object
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Form.jsx:298 100
Form.jsx:363 Object
PeersPopup.jsx:110 Object
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PeersPopup.jsx:110 Object
utils.ts:28 Array(10)
LockContract.ts:41 Array(1) Object
LockContract.ts:44 Deadline: 40064397
LockContract.ts:57 Object
LockContract.ts:75 tx: r
LockContract.ts:79 unsignedTx: 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
LockContract.ts:83 signedTx: 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
LockContract.ts:86 22ceda4b014874fbd4af366ef307dd1ef6857dbcac3119b4c814d0fed241e3b2
api.ts:54 SIZE 816
api.ts:55 FEES NaN
Form.jsx:142 >>>SOCKET: {"action":"job-submitted"}
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DevTools failed to load source map: Could not load content for chrome-extension://kmhcihpebfmpgmihbkipmjlmmioameka/www/js/GenericEvent.js.map: System error: net::ERR_FILE_NOT_FOUND
Form.jsx:142 >>>SOCKET: {"action":"deployment-response","message":{"success":true,"content":"https://log.nunet.io/api/v1/logbin/34d2ea6b-f396-4613-bf7c-6cff705ed68c/raw"}}
Form.jsx:164 DEPLOYMENT RESPONSE
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Form.jsx:142 >>>SOCKET: {"action":"deployment-response","message":{"success":true,"content":"https://log.nunet.io/api/v1/logbin/34d2ea6b-f396-4613-bf7c-6cff705ed68c/raw"}}
Form.jsx:164 DEPLOYMENT RESPONSE
Form.jsx:165 {success: true, content: 'https://log.nunet.io/api/v1/logbin/34d2ea6b-f396-4613-bf7c-6cff705ed68c/raw'}
PeersPopup.jsx:110 {peer_id: 'QmVjtBjnxQrtZ9PnjQ4Mk8fMhTowcmgJHkeWNLMKYWjqnh', has_gpu: true, allow_cardano: false, gpu_info: Array(1), tokenomics_addrs: 'addr_test1qrwu5z88t32gp6dxnzkxruj8cw7queghvqs9d7lp…8e5g548gpcjewky5304u9wzxa9scfkex9ecsh6hpzlq568euz', …}
PeersPopup.jsx:110 {peer_id: 'Qmdozj47eAK145AwbYPDkFt66pEAcHcgyA8VyVBaPR6sG5', has_gpu: false, allow_cardano: false, gpu_info: null, tokenomics_addrs: 'addr_test1qrnw856gwgeklcgw63lwnf8p7uue7r4c4tfj6t5q…dpwpe2d4htg5hw3qm4tv7k3j9cdulsz4htdqhz6u3qskk56dp', …}
PeersPopup.jsx:110 {peer_id: 'QmaBty95QSz4dmaKDjCxcTWjwZuNBGUzDSarsAY9SyQUrX', has_gpu: true, allow_cardano: true, gpu_info: Array(6), tokenomics_addrs: 'addr_test1qp9lazn3lylmj808v9yvfsllrqlyd9tjuuxuxqjc…xjpexlke8ml8c9df69rf28undhmuu4q2s0jqe95gcdswnpkps', …}
PeersPopup.jsx:110 {peer_id: 'QmV1vC24GE2WBckkqdL8Zx6qUCcgJUiVYDKBSq5QzdoWCP', has_gpu: false, allow_cardano: false, gpu_info: null, tokenomics_addrs: 'addr_test1qq0aq505npfft4t2ql7gd7w442dpmarnfthlzy73…695zk5p2eyx8gqz68s4d7s6q5fpa0953taavkmxhupq0gzhse', …}
PeersPopup.jsx:110 {peer_id: 'QmSWqdQkRhgZuNen9kY6yZN7B1zx1dWcAfyb5z7p7fEqF3', has_gpu: false, allow_cardano: false, gpu_info: null, tokenomics_addrs: 'addr_test1qz7smrrwpp9jrgejqknhr0f5t48rark7tn5ef69x…eh69j59zgqn5t4elt8z47wp42r9h5sg29vdx42khz4skmzmpl', …}
PeersPopup.jsx:110 {peer_id: 'QmQ1RcnvP3bj2Pav1sPQBz4CMmVwL8B9HcwP67ED1FCd2t', has_gpu: false, allow_cardano: false, gpu_info: null, tokenomics_addrs: 'addr_test1qrnw856gwgeklcgw63lwnf8p7uue7r4c4tfj6t5q…dpwpe2d4htg5hw3qm4tv7k3j9cdulsz4htdqhz6u3qskk56dp', …}
PeersPopup.jsx:110 {peer_id: 'QmdXBG6dHM6k7KFahxKQp9PTBFNMMrf1qqv1U2W2g3fdRA', has_gpu: false, allow_cardano: false, gpu_info: null, tokenomics_addrs: 'addr_test1qrtqthdcx22xhxk5pccnsdluky4a7zwlfcdkmxyy…frfyx37exf6vtwvmvm7smecvm9ttdzuj665jaw35l2q7thps6', …}
### Version number of NuNet components
- DMS version: 0.4.125
- SPD version: 0.1.10
- CPD version: 0.1.7
### SO version, emulator/virtual machine type and version, network type (including NAT type), environment variables, parameters, etc
PC: Simple testbench rig. 2 core 2 thread Celeron 5905, 32GB RAM, 500GB SSD, RTX3070Ti running dedicated as Linux machine.
Distributor ID: Ubuntu
Description: Ubuntu 22.04.3 LTS
Release: 22.04
Codename: jammy
NAT Type: Normal
### Possible fixes
<!-- CRIES :P -->