Task 38577965
| Name | wu_402cdcce-GIANNI_GPROTO7-0-1-RND5049_0 |
| Workunit | 31543451 |
| Created | 25 Sep 2025, 10:50:54 UTC |
| Sent | 25 Sep 2025, 10:52:10 UTC |
| Report deadline | 30 Sep 2025, 10:52:10 UTC |
| Received | 25 Sep 2025, 11:05:28 UTC |
| Server state | Over |
| Outcome | Computation error |
| Client state | Compute error |
| Exit status | 195 (0x000000C3) EXIT_CHILD_FAILED |
| Computer ID | 632751 |
| Run time | 9 min 35 sec |
| CPU time | 1 min 40 sec |
| Validate state | Invalid |
| Credit | 0.00 |
| Device peak FLOPS | 83,567.27 GFLOPS |
| Application version | LLM: LLMs for chemistry v1.01 (cuda124L) windows_x86_64 |
| Peak working set size | 8.58 GB |
| Peak swap size | 29.86 GB |
| Peak disk usage | 6.14 GB |
Stderr output
<core_client_version>8.2.4</core_client_version>
<![CDATA[
<message>
Das Betriebssystem kann (null) nicht ausf�hren.
(0xc3) - exit code 195 (0xc3)</message>
<stderr_txt>
12:57:53 (12252): wrapper (7.9.26016): starting
12:57:53 (12252): wrapper: running Library/usr/bin/tar.exe (xjvf input.tar.bz2)
tasks.json
run.bat
conf.yaml
main_generation-0.1.0-py3-none-any.whl
run.sh
12:57:54 (12252): Library/usr/bin/tar.exe exited; CPU time 0.000000
12:57:54 (12252): wrapper: running C:/Windows/system32/cmd.exe (/c call Scripts\activate.bat && Scripts\conda-unpack.exe && run.bat)
Generating train split: 0 examples [00:00, ? examples/s]
Generating train split: 2500 examples [00:00, 178481.02 examples/s]
[W925 13:00:57.000000000 socket.cpp:759] [c10d] The client socket has failed to connect to [ZEUSLORD.fritz.box]:53832 (system error: 10049 - Die angeforderte Adresse ist in diesem Kontext ungültig.).
Loading safetensors checkpoint shards: 0% Completed | 0/2 [00:00<?, ?it/s]
Loading safetensors checkpoint shards: 50% Completed | 1/2 [00:25<00:25, 25.60s/it]
Loading safetensors checkpoint shards: 100% Completed | 2/2 [00:55<00:00, 28.25s/it]
Loading safetensors checkpoint shards: 100% Completed | 2/2 [00:55<00:00, 27.85s/it]
Loading safetensors checkpoint shards: 0% Completed | 0/2 [00:00<?, ?it/s]
Loading safetensors checkpoint shards: 50% Completed | 1/2 [00:03<00:03, 3.67s/it]
Loading safetensors checkpoint shards: 100% Completed | 2/2 [00:07<00:00, 3.74s/it]
Loading safetensors checkpoint shards: 100% Completed | 2/2 [00:07<00:00, 3.73s/it]
Capturing CUDA graph shapes: 0%| | 0/35 [00:00<?, ?it/s]
Capturing CUDA graph shapes: 3%|2 | 1/35 [00:01<00:53, 1.59s/it]
Capturing CUDA graph shapes: 6%|5 | 2/35 [00:05<01:45, 3.20s/it]
Capturing CUDA graph shapes: 9%|8 | 3/35 [00:07<01:13, 2.28s/it]
Capturing CUDA graph shapes: 11%|#1 | 4/35 [00:08<00:57, 1.85s/it]
Capturing CUDA graph shapes: 14%|#4 | 5/35 [00:09<00:48, 1.62s/it]
Capturing CUDA graph shapes: 17%|#7 | 6/35 [00:10<00:42, 1.46s/it]
Capturing CUDA graph shapes: 20%|## | 7/35 [00:11<00:38, 1.36s/it]
Capturing CUDA graph shapes: 23%|##2 | 8/35 [00:12<00:35, 1.30s/it]
Capturing CUDA graph shapes: 26%|##5 | 9/35 [00:14<00:32, 1.26s/it]
Capturing CUDA graph shapes: 29%|##8 | 10/35 [00:15<00:30, 1.23s/it]
Capturing CUDA graph shapes: 31%|###1 | 11/35 [00:16<00:29, 1.22s/it]
Capturing CUDA graph shapes: 34%|###4 | 12/35 [00:17<00:27, 1.20s/it]
Capturing CUDA graph shapes: 37%|###7 | 13/35 [00:18<00:26, 1.19s/it]
Capturing CUDA graph shapes: 40%|#### | 14/35 [00:20<00:25, 1.19s/it]
Capturing CUDA graph shapes: 43%|####2 | 15/35 [00:21<00:23, 1.19s/it]
Capturing CUDA graph shapes: 46%|####5 | 16/35 [00:22<00:22, 1.18s/it]
Capturing CUDA graph shapes: 49%|####8 | 17/35 [00:23<00:21, 1.19s/it]
Capturing CUDA graph shapes: 51%|#####1 | 18/35 [00:26<00:29, 1.71s/it]
Capturing CUDA graph shapes: 54%|#####4 | 19/35 [00:29<00:33, 2.08s/it]
Capturing CUDA graph shapes: 57%|#####7 | 20/35 [00:30<00:27, 1.82s/it]
Capturing CUDA graph shapes: 60%|###### | 21/35 [00:31<00:22, 1.63s/it]
Capturing CUDA graph shapes: 63%|######2 | 22/35 [00:33<00:19, 1.50s/it]
Capturing CUDA graph shapes: 66%|######5 | 23/35 [00:34<00:16, 1.39s/it]
Capturing CUDA graph shapes: 69%|######8 | 24/35 [00:35<00:14, 1.33s/it]
Capturing CUDA graph shapes: 71%|#######1 | 25/35 [00:36<00:12, 1.29s/it]
Capturing CUDA graph shapes: 74%|#######4 | 26/35 [00:37<00:11, 1.26s/it]
Capturing CUDA graph shapes: 77%|#######7 | 27/35 [00:38<00:09, 1.24s/it]
Capturing CUDA graph shapes: 80%|######## | 28/35 [00:40<00:08, 1.22s/it]
Capturing CUDA graph shapes: 83%|########2 | 29/35 [00:41<00:07, 1.23s/it]
Capturing CUDA graph shapes: 86%|########5 | 30/35 [00:42<00:06, 1.21s/it]
Capturing CUDA graph shapes: 89%|########8 | 31/35 [00:43<00:04, 1.23s/it]
Capturing CUDA graph shapes: 91%|#########1| 32/35 [00:44<00:03, 1.21s/it]
Capturing CUDA graph shapes: 94%|#########4| 33/35 [00:46<00:02, 1.20s/it]
Capturing CUDA graph shapes: 97%|#########7| 34/35 [00:47<00:01, 1.19s/it]
Capturing CUDA graph shapes: 100%|##########| 35/35 [00:53<00:00, 2.60s/it]
Capturing CUDA graph shapes: 100%|##########| 35/35 [00:53<00:00, 1.52s/it]
Fetching 11 files: 0%| | 0/11 [00:00<?, ?it/s]
Fetching 11 files: 100%|##########| 11/11 [00:00<00:00, 609.94it/s]
Map: 0%| | 0/2500 [00:00<?, ? examples/s]
Map: 80%|######## | 2000/2500 [00:00<00:00, 13204.00 examples/s]
Map: 100%|##########| 2500/2500 [00:00<00:00, 13552.38 examples/s]
Processed prompts: 0%| | 0/100 [00:00<?, ?it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s][rank0]: Traceback (most recent call last):
[rank0]: File "wheel_contents/aiengine/main_generation.py", line 101, in <module>
[rank0]: File "wheel_contents/aiengine/main_generation.py", line 34, in generate
[rank0]: File "wheel_contents/aiengine/model.py", line 89, in generate
[rank0]: File "E:\BOINC\DATA\slots\0\Lib\site-packages\vllm\utils.py", line 1131, in inner
[rank0]: return fn(*args, **kwargs)
[rank0]: ^^^^^^^^^^^^^^^^^^^
[rank0]: File "E:\BOINC\DATA\slots\0\Lib\site-packages\vllm\entrypoints\llm.py", line 465, in generate
[rank0]: outputs = self._run_engine(use_tqdm=use_tqdm)
[rank0]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[rank0]: File "E:\BOINC\DATA\slots\0\Lib\site-packages\vllm\entrypoints\llm.py", line 1384, in _run_engine
[rank0]: step_outputs = self.llm_engine.step()
[rank0]: ^^^^^^^^^^^^^^^^^^^^^^
[rank0]: File "E:\BOINC\DATA\slots\0\Lib\site-packages\vllm\engine\llm_engine.py", line 1430, in step
[rank0]: outputs = self.model_executor.execute_model(
[rank0]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[rank0]: File "E:\BOINC\DATA\slots\0\Lib\site-packages\vllm\executor\executor_base.py", line 140, in execute_model
[rank0]: output = self.collective_rpc("execute_model",
[rank0]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[rank0]: File "E:\BOINC\DATA\slots\0\Lib\site-packages\vllm\executor\uniproc_executor.py", line 56, in collective_rpc
[rank0]: answer = run_method(self.driver_worker, method, args, kwargs)
[rank0]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[rank0]: File "E:\BOINC\DATA\slots\0\Lib\site-packages\vllm\utils.py", line 2359, in run_method
[rank0]: return func(*args, **kwargs)
[rank0]: ^^^^^^^^^^^^^^^^^^^^^
[rank0]: File "E:\BOINC\DATA\slots\0\Lib\site-packages\vllm\worker\worker_base.py", line 420, in execute_model
[rank0]: output = self.model_runner.execute_model(
[rank0]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[rank0]: File "E:\BOINC\DATA\slots\0\Lib\site-packages\torch\utils\_contextlib.py", line 116, in decorate_context
[rank0]: return func(*args, **kwargs)
[rank0]: ^^^^^^^^^^^^^^^^^^^^^
[rank0]: File "E:\BOINC\DATA\slots\0\Lib\site-packages\vllm\worker\model_runner.py", line 1697, in execute_model
[rank0]: self.set_active_loras(model_input.lora_requests,
[rank0]: File "E:\BOINC\DATA\slots\0\Lib\site-packages\vllm\worker\model_runner.py", line 1385, in set_active_loras
[rank0]: self.lora_manager.set_active_adapters(lora_requests, lora_mapping)
[rank0]: File "E:\BOINC\DATA\slots\0\Lib\site-packages\vllm\lora\worker_manager.py", line 167, in set_active_adapters
[rank0]: set_active_adapters_worker(requests, mapping, self._apply_adapters,
[rank0]: File "E:\BOINC\DATA\slots\0\Lib\site-packages\vllm\adapter_commons\utils.py", line 54, in set_active_adapters_worker
[rank0]: apply_adapters_func(requests)
[rank0]: File "E:\BOINC\DATA\slots\0\Lib\site-packages\vllm\lora\worker_manager.py", line 227, in _apply_adapters
[rank0]: self.add_adapter(lora)
[rank0]: File "E:\BOINC\DATA\slots\0\Lib\site-packages\vllm\lora\worker_manager.py", line 235, in add_adapter
[rank0]: lora = self._load_adapter(lora_request)
[rank0]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[rank0]: File "E:\BOINC\DATA\slots\0\Lib\site-packages\vllm\lora\worker_manager.py", line 141, in _load_adapter
[rank0]: raise e
[rank0]: File "E:\BOINC\DATA\slots\0\Lib\site-packages\vllm\lora\worker_manager.py", line 117, in _load_adapter
[rank0]: lora = self._lora_model_cls.from_local_checkpoint(
[rank0]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[rank0]: File "E:\BOINC\DATA\slots\0\Lib\site-packages\vllm\lora\models.py", line 233, in from_local_checkpoint
[rank0]: with safetensors.safe_open(lora_tensor_path,
[rank0]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[rank0]: OSError: Die Auslagerungsdatei ist zu klein, um diesen Vorgang durchzuführen. (os error 1455)
Processed prompts: 0%| | 0/100 [00:02<?, ?it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]
13:03:17 (12252): C:/Windows/system32/cmd.exe exited; CPU time 100.546875
13:03:17 (12252): app exit status: 0x16
13:03:17 (12252): called boinc_finish(195)
0 bytes in 0 Free Blocks.
176 bytes in 6 Normal Blocks.
1144 bytes in 1 CRT Blocks.
0 bytes in 0 Ignore Blocks.
0 bytes in 0 Client Blocks.
Largest number used: 0 bytes.
Total allocations: 5590933 bytes.
Dumping objects ->
{1601212} normal block at 0x000001F1C2471170, 48 bytes long.
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{1601201} normal block at 0x000001F1C25799D0, 32 bytes long.
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{1601190} normal block at 0x000001F1C257AA50, 32 bytes long.
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{1601179} normal block at 0x000001F1C257A570, 32 bytes long.
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{1601168} normal block at 0x000001F1C257A5D0, 32 bytes long.
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{1601137} normal block at 0x000001F1C24713A0, 48 bytes long.
Data: <PATH=E:\BOINC\DA> 50 41 54 48 3D 45 3A 5C 42 4F 49 4E 43 5C 44 41
..\api\boinc_api.cpp(309) : {1601124} normal block at 0x000001F1C067B850, 8 bytes long.
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{1599918} normal block at 0x000001F1C067BA80, 8 bytes long.
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{274} normal block at 0x000001F1C067CA90, 32 bytes long.
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{273} normal block at 0x000001F1C067BA30, 16 bytes long.
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{272} normal block at 0x000001F1C0672CC0, 320 bytes long.
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{271} normal block at 0x000001F1C067BE40, 16 bytes long.
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{270} normal block at 0x000001F1C067B8A0, 16 bytes long.
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{269} normal block at 0x000001F1C067C670, 32 bytes long.
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{268} normal block at 0x000001F1C067C160, 16 bytes long.
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{267} normal block at 0x000001F1C067C370, 32 bytes long.
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{266} normal block at 0x000001F1C067B990, 16 bytes long.
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{265} normal block at 0x000001F1C067B940, 16 bytes long.
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{264} normal block at 0x000001F1C067C1B0, 16 bytes long.
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{263} normal block at 0x000001F1C067B710, 16 bytes long.
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{262} normal block at 0x000001F1C067B6C0, 16 bytes long.
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{261} normal block at 0x000001F1C067B670, 16 bytes long.
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{259} normal block at 0x000001F1C067BDA0, 16 bytes long.
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{258} normal block at 0x000001F1C0676E70, 40 bytes long.
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{257} normal block at 0x000001F1C067C200, 16 bytes long.
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{253} normal block at 0x000001F1C0675900, 992 bytes long.
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{97} normal block at 0x000001F1C0662730, 32 bytes long.
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{96} normal block at 0x000001F1C0668020, 16 bytes long.
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{95} normal block at 0x000001F1C0676930, 40 bytes long.
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{74} normal block at 0x000001F1C0668CA0, 16 bytes long.
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{73} normal block at 0x000001F1C0668AC0, 16 bytes long.
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{72} normal block at 0x000001F1C0667F80, 16 bytes long.
Data: <øWlá÷ > F8 57 6C E1 F7 7F 00 00 00 00 00 00 00 00 00 00
{71} normal block at 0x000001F1C0668B60, 16 bytes long.
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{70} normal block at 0x000001F1C0667F30, 16 bytes long.
Data: <P lá÷ > 50 04 6C E1 F7 7F 00 00 00 00 00 00 00 00 00 00
{69} normal block at 0x000001F1C0668A70, 16 bytes long.
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{68} normal block at 0x000001F1C0668C50, 16 bytes long.
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{67} normal block at 0x000001F1C06689D0, 16 bytes long.
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{66} normal block at 0x000001F1C06688E0, 16 bytes long.
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{65} normal block at 0x000001F1C0668D90, 16 bytes long.
Data: < Àjá÷ > 18 C0 6A E1 F7 7F 00 00 00 00 00 00 00 00 00 00
Object dump complete.
</stderr_txt>
]]>
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