Name | wu_7cc783f7-GIANNI_GPROTO7-0-1-RND9286_0 |
Workunit | 31543222 |
Created | 25 Sep 2025, 6:03:52 UTC |
Sent | 25 Sep 2025, 6:04:03 UTC |
Report deadline | 30 Sep 2025, 6:04:03 UTC |
Received | 25 Sep 2025, 6:39:13 UTC |
Server state | Over |
Outcome | Computation error |
Client state | Compute error |
Exit status | 195 (0x000000C3) EXIT_CHILD_FAILED |
Computer ID | 642323 |
Run time | 2 min 29 sec |
CPU time | 32 sec |
Validate state | Invalid |
Credit | 0.00 |
Device peak FLOPS | 55,497.90 GFLOPS |
Application version | LLM: LLMs for chemistry v1.01 (cuda124L) windows_x86_64 |
Peak working set size | 845.45 MB |
Peak swap size | 2.56 GB |
Peak disk usage | 5.99 GB |
<core_client_version>8.2.4</core_client_version> <![CDATA[ <message> The operating system cannot run (null). (0xc3) - exit code 195 (0xc3)</message> <stderr_txt> 02:36:37 (22220): wrapper (7.9.26016): starting 02:36:37 (22220): 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 02:36:38 (22220): Library/usr/bin/tar.exe exited; CPU time 0.000000 02:36:38 (22220): 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, 217352.98 examples/s] D:\ProgramData\BOINC\slots\27\Lib\site-packages\torch\cuda\__init__.py:235: UserWarning: NVIDIA GeForce RTX 5090 with CUDA capability sm_120 is not compatible with the current PyTorch installation. The current PyTorch install supports CUDA capabilities sm_50 sm_60 sm_61 sm_70 sm_75 sm_80 sm_86 sm_90. If you want to use the NVIDIA GeForce RTX 5090 GPU with PyTorch, please check the instructions at https://pytorch.org/get-started/locally/ warnings.warn( [W925 02:37:36.000000000 socket.cpp:759] [c10d] The client socket has failed to connect to [VENGEANCE]:56172 (system error: 10049 - The requested address is not valid in its context.). [rank0]: Traceback (most recent call last): [rank0]: File "wheel_contents/aiengine/main_generation.py", line 87, in <module> [rank0]: File "wheel_contents/aiengine/model.py", line 36, in __init__ [rank0]: File "D:\ProgramData\BOINC\slots\27\Lib\site-packages\vllm\utils.py", line 1096, in inner [rank0]: return fn(*args, **kwargs) [rank0]: ^^^^^^^^^^^^^^^^^^^ [rank0]: File "D:\ProgramData\BOINC\slots\27\Lib\site-packages\vllm\entrypoints\llm.py", line 243, in __init__ [rank0]: self.llm_engine = LLMEngine.from_engine_args( [rank0]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^ [rank0]: File "D:\ProgramData\BOINC\slots\27\Lib\site-packages\vllm\engine\llm_engine.py", line 521, in from_engine_args [rank0]: return engine_cls.from_vllm_config( [rank0]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [rank0]: File "D:\ProgramData\BOINC\slots\27\Lib\site-packages\vllm\engine\llm_engine.py", line 497, in from_vllm_config [rank0]: return cls( [rank0]: ^^^^ [rank0]: File "D:\ProgramData\BOINC\slots\27\Lib\site-packages\vllm\engine\llm_engine.py", line 281, in __init__ [rank0]: self.model_executor = executor_class(vllm_config=vllm_config, ) [rank0]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [rank0]: File "D:\ProgramData\BOINC\slots\27\Lib\site-packages\vllm\executor\executor_base.py", line 52, in __init__ [rank0]: self._init_executor() [rank0]: File "D:\ProgramData\BOINC\slots\27\Lib\site-packages\vllm\executor\uniproc_executor.py", line 47, in _init_executor [rank0]: self.collective_rpc("load_model") [rank0]: File "D:\ProgramData\BOINC\slots\27\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 "D:\ProgramData\BOINC\slots\27\Lib\site-packages\vllm\utils.py", line 2359, in run_method [rank0]: return func(*args, **kwargs) [rank0]: ^^^^^^^^^^^^^^^^^^^^^ [rank0]: File "D:\ProgramData\BOINC\slots\27\Lib\site-packages\vllm\worker\worker.py", line 184, in load_model [rank0]: self.model_runner.load_model() [rank0]: File "D:\ProgramData\BOINC\slots\27\Lib\site-packages\vllm\worker\model_runner.py", line 1113, in load_model [rank0]: self.model = get_model(vllm_config=self.vllm_config) [rank0]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [rank0]: File "D:\ProgramData\BOINC\slots\27\Lib\site-packages\vllm\model_executor\model_loader\__init__.py", line 14, in get_model [rank0]: return loader.load_model(vllm_config=vllm_config) [rank0]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [rank0]: File "D:\ProgramData\BOINC\slots\27\Lib\site-packages\vllm\model_executor\model_loader\loader.py", line 1278, in load_model [rank0]: model = _initialize_model(vllm_config=vllm_config) [rank0]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [rank0]: File "D:\ProgramData\BOINC\slots\27\Lib\site-packages\vllm\model_executor\model_loader\loader.py", line 127, in _initialize_model [rank0]: return model_class(vllm_config=vllm_config, prefix=prefix) [rank0]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [rank0]: File "D:\ProgramData\BOINC\slots\27\Lib\site-packages\vllm\model_executor\models\qwen2.py", line 431, in __init__ [rank0]: self.model = Qwen2Model(vllm_config=vllm_config, [rank0]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [rank0]: File "D:\ProgramData\BOINC\slots\27\Lib\site-packages\vllm\compilation\decorators.py", line 151, in __init__ [rank0]: old_init(self, vllm_config=vllm_config, prefix=prefix, **kwargs) [rank0]: File "D:\ProgramData\BOINC\slots\27\Lib\site-packages\vllm\model_executor\models\qwen2.py", line 300, in __init__ [rank0]: self.start_layer, self.end_layer, self.layers = make_layers( [rank0]: ^^^^^^^^^^^^ [rank0]: File "D:\ProgramData\BOINC\slots\27\Lib\site-packages\vllm\model_executor\models\utils.py", line 610, in make_layers [rank0]: maybe_offload_to_cpu(layer_fn(prefix=f"{prefix}.{idx}")) [rank0]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [rank0]: File "D:\ProgramData\BOINC\slots\27\Lib\site-packages\vllm\model_executor\models\qwen2.py", line 302, in <lambda> [rank0]: lambda prefix: Qwen2DecoderLayer(config=config, [rank0]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [rank0]: File "D:\ProgramData\BOINC\slots\27\Lib\site-packages\vllm\model_executor\models\qwen2.py", line 206, in __init__ [rank0]: self.self_attn = Qwen2Attention( [rank0]: ^^^^^^^^^^^^^^^ [rank0]: File "D:\ProgramData\BOINC\slots\27\Lib\site-packages\vllm\model_executor\models\qwen2.py", line 153, in __init__ [rank0]: self.rotary_emb = get_rope( [rank0]: ^^^^^^^^^ [rank0]: File "D:\ProgramData\BOINC\slots\27\Lib\site-packages\vllm\model_executor\layers\rotary_embedding.py", line 1180, in get_rope [rank0]: rotary_emb = RotaryEmbedding(head_size, rotary_dim, max_position, base, [rank0]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [rank0]: File "D:\ProgramData\BOINC\slots\27\Lib\site-packages\vllm\model_executor\layers\rotary_embedding.py", line 99, in __init__ [rank0]: cache = self._compute_cos_sin_cache() [rank0]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [rank0]: File "D:\ProgramData\BOINC\slots\27\Lib\site-packages\vllm\model_executor\layers\rotary_embedding.py", line 116, in _compute_cos_sin_cache [rank0]: inv_freq = self._compute_inv_freq(self.base) [rank0]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [rank0]: File "D:\ProgramData\BOINC\slots\27\Lib\site-packages\vllm\model_executor\layers\rotary_embedding.py", line 110, in _compute_inv_freq [rank0]: inv_freq = 1.0 / (base**(torch.arange( [rank0]: ^^^^^^^^^^^^^ [rank0]: File "D:\ProgramData\BOINC\slots\27\Lib\site-packages\torch\utils\_device.py", line 104, in __torch_function__ [rank0]: return func(*args, **kwargs) [rank0]: ^^^^^^^^^^^^^^^^^^^^^ [rank0]: RuntimeError: CUDA error: no kernel image is available for execution on the device [rank0]: CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect. [rank0]: For debugging consider passing CUDA_LAUNCH_BLOCKING=1 [rank0]: Compile with `TORCH_USE_CUDA_DSA` to enable device-side assertions. 02:37:40 (22220): C:/Windows/system32/cmd.exe exited; CPU time 32.343750 02:37:40 (22220): app exit status: 0x16 02:37:40 (22220): called boinc_finish(195) 0 bytes in 0 Free Blocks. 256 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: 1198665 bytes. Dumping objects -> {1601515} normal block at 0x000002BC6755B250, 48 bytes long. Data: <PATH=D:\ProgramD> 50 41 54 48 3D 44 3A 5C 50 72 6F 67 72 61 6D 44 {1601504} normal block at 0x000002BC67536620, 48 bytes long. Data: <HOME=D:\ProgramD> 48 4F 4D 45 3D 44 3A 5C 50 72 6F 67 72 61 6D 44 {1601493} normal block at 0x000002BC67536540, 48 bytes long. Data: <TMP=D:\ProgramDa> 54 4D 50 3D 44 3A 5C 50 72 6F 67 72 61 6D 44 61 {1601482} normal block at 0x000002BC675364D0, 48 bytes long. 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Data: < ÀQúö > 18 C0 51 FA F6 7F 00 00 00 00 00 00 00 00 00 00 Object dump complete. </stderr_txt> ]]>
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