Upload folder using huggingface_hub
Browse files- cli.log +31 -31
- error-2024-10-07-19-57-58.log +436 -0
- preprocess_codecarbon.json +11 -11
cli.log
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[2024-10-07 19:
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[2024-10-07 19:58:01,182][launcher][INFO] - ََAllocating process launcher
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[2024-10-07 19:58:01,182][process][INFO] - + Setting multiprocessing start method to spawn.
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[2024-10-07 19:58:01,192][device-isolation][INFO] - + Launched device(s) isolation process 179
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[2024-10-07 19:58:01,193][device-isolation][INFO] - + Isolating device(s) [0]
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[2024-10-07 19:58:01,198][process][INFO] - + Launched benchmark in isolated process 180.
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[PROC-0][2024-10-07 19:58:03,909][datasets][INFO] - PyTorch version 2.4.0 available.
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[PROC-0][2024-10-07 19:58:04,829][backend][INFO] - َAllocating pytorch backend
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[PROC-0][2024-10-07 19:58:04,829][backend][INFO] - + Setting random seed to 42
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[PROC-0][2024-10-07 19:58:05,609][pytorch][INFO] - + Using AutoModel class AutoModelForSequenceClassification
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[PROC-0][2024-10-07 19:58:05,609][pytorch][INFO] - + Creating backend temporary directory
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[PROC-0][2024-10-07 19:58:05,609][pytorch][INFO] - + Loading model with random weights
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[PROC-0][2024-10-07 19:58:05,609][pytorch][INFO] - + Creating no weights model
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[PROC-0][2024-10-07 19:58:05,610][pytorch][INFO] - + Creating no weights model directory
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[PROC-0][2024-10-07 19:58:05,610][pytorch][INFO] - + Creating no weights model state dict
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[PROC-0][2024-10-07 19:58:05,612][pytorch][INFO] - + Saving no weights model safetensors
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[PROC-0][2024-10-07 19:58:05,612][pytorch][INFO] - + Saving no weights model pretrained config
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[PROC-0][2024-10-07 19:58:05,613][pytorch][INFO] - + Loading no weights AutoModel
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[PROC-0][2024-10-07 19:58:05,613][pytorch][INFO] - + Loading model directly on device: cuda
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[PROC-0][2024-10-07 19:58:05,781][pytorch][INFO] - + Turning on model's eval mode
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[PROC-0][2024-10-07 19:58:05,787][benchmark][INFO] - Allocating energy_star benchmark
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[PROC-0][2024-10-07 19:58:05,787][energy_star][INFO] - + Loading raw dataset
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[PROC-0][2024-10-07 19:58:06,658][energy_star][INFO] - + Initializing Inference report
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[PROC-0][2024-10-07 19:58:06,658][energy][INFO] - + Tracking GPU energy on devices [0]
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[PROC-0][2024-10-07 19:58:10,834][energy_star][INFO] - + Preprocessing dataset
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[PROC-0][2024-10-07 19:58:11,242][energy][INFO] - + Saving codecarbon emission data to preprocess_codecarbon.json
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[PROC-0][2024-10-07 19:58:11,243][energy_star][INFO] - + Preparing backend for Inference
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[PROC-0][2024-10-07 19:58:11,243][energy_star][INFO] - + Initialising dataloader
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[PROC-0][2024-10-07 19:58:11,243][energy_star][INFO] - + Warming up backend for Inference
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[PROC-0][2024-10-07 19:58:11,751][energy_star][INFO] - + Running Inference energy tracking for 10 iterations
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[PROC-0][2024-10-07 19:58:11,751][energy_star][INFO] - + Iteration 1/10
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[2024-10-07 19:58:12,540][experiment][ERROR] - Error during experiment
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error-2024-10-07-19-57-58.log
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1%|▏ | 14/1000 [00:00<00:07, 138.38it/s]/opt/conda/conda-bld/pytorch_1720538643151/work/aten/src/ATen/native/cuda/Indexing.cu:1284: indexSelectLargeIndex: block: [517,0,0], thread: [96,0,0] Assertion `srcIndex < srcSelectDimSize` failed.
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2%|▏ | 22/1000 [00:00<00:07, 122.27it/s]
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| 1 |
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/opt/conda/lib/python3.9/site-packages/transformers/tokenization_utils_base.py:1601: FutureWarning: `clean_up_tokenization_spaces` was not set. It will be set to `True` by default. This behavior will be depracted in transformers v4.45, and will be then set to `False` by default. For more details check this issue: https://github.com/huggingface/transformers/issues/31884
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| 2 |
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warnings.warn(
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[codecarbon INFO @ 19:58:06] [setup] RAM Tracking...
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| 11 |
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[codecarbon INFO @ 19:58:06] [setup] GPU Tracking...
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| 12 |
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[codecarbon INFO @ 19:58:06] Tracking Nvidia GPU via pynvml
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| 13 |
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[codecarbon DEBUG @ 19:58:06] GPU available. Starting setup
|
| 14 |
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[codecarbon INFO @ 19:58:06] [setup] CPU Tracking...
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| 15 |
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[codecarbon DEBUG @ 19:58:06] Not using PowerGadget, an exception occurred while instantiating IntelPowerGadget : Platform not supported by Intel Power Gadget
|
| 16 |
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[codecarbon DEBUG @ 19:58:06] Not using the RAPL interface, an exception occurred while instantiating IntelRAPL : Intel RAPL files not found at /sys/class/powercap/intel-rapl on linux
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| 17 |
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[codecarbon DEBUG @ 19:58:06] Not using PowerMetrics, an exception occurred while instantiating Powermetrics : Platform not supported by Powermetrics
|
| 18 |
+
[codecarbon WARNING @ 19:58:06] No CPU tracking mode found. Falling back on CPU constant mode.
|
| 19 |
+
[codecarbon WARNING @ 19:58:07] We saw that you have a AMD EPYC 7R32 but we don't know it. Please contact us.
|
| 20 |
+
[codecarbon INFO @ 19:58:07] CPU Model on constant consumption mode: AMD EPYC 7R32
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| 21 |
+
[codecarbon INFO @ 19:58:07] >>> Tracker's metadata:
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| 22 |
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[codecarbon INFO @ 19:58:07] Platform system: Linux-5.10.192-183.736.amzn2.x86_64-x86_64-with-glibc2.35
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| 23 |
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[codecarbon INFO @ 19:58:07] Python version: 3.9.20
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| 24 |
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[codecarbon INFO @ 19:58:07] CodeCarbon version: 2.5.1
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| 25 |
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[codecarbon INFO @ 19:58:07] Available RAM : 186.705 GB
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| 26 |
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[codecarbon INFO @ 19:58:07] CPU count: 48
|
| 27 |
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[codecarbon INFO @ 19:58:07] CPU model: AMD EPYC 7R32
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| 28 |
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[codecarbon INFO @ 19:58:07] GPU count: 1
|
| 29 |
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[codecarbon INFO @ 19:58:07] GPU model: 1 x NVIDIA A10G
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| 30 |
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[codecarbon DEBUG @ 19:58:08] Not running on AWS
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| 31 |
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[codecarbon DEBUG @ 19:58:09] Not running on Azure
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| 32 |
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[codecarbon DEBUG @ 19:58:10] Not running on GCP
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| 33 |
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[codecarbon INFO @ 19:58:10] Saving emissions data to file /runs/codecarbon.csv
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| 34 |
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[codecarbon DEBUG @ 19:58:10] EmissionsData(timestamp='2024-10-07T19:58:10', project_name='codecarbon', run_id='2d39c1fa-c60c-4a42-ae21-7478b6ecb362', duration=0.0021433930087368935, emissions=0.0, emissions_rate=0.0, cpu_power=0.0, gpu_power=0.0, ram_power=0.0, cpu_energy=0, gpu_energy=0, ram_energy=0, energy_consumed=0, country_name='United States', country_iso_code='USA', region='virginia', cloud_provider='', cloud_region='', os='Linux-5.10.192-183.736.amzn2.x86_64-x86_64-with-glibc2.35', python_version='3.9.20', codecarbon_version='2.5.1', cpu_count=48, cpu_model='AMD EPYC 7R32', gpu_count=1, gpu_model='1 x NVIDIA A10G', longitude=-77.4903, latitude=39.0469, ram_total_size=186.7047882080078, tracking_mode='process', on_cloud='N', pue=1.0)
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| 35 |
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| 36 |
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| 37 |
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[codecarbon INFO @ 19:58:11] Energy consumed for RAM : 0.000000 kWh. RAM Power : 0.27332639694213867 W
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| 38 |
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[codecarbon DEBUG @ 19:58:11] RAM : 0.27 W during 0.40 s [measurement time: 0.0006]
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| 39 |
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[codecarbon INFO @ 19:58:11] Energy consumed for all GPUs : 0.000008 kWh. Total GPU Power : 67.79598290555053 W
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| 40 |
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[codecarbon DEBUG @ 19:58:11] GPU : 67.80 W during 0.41 s [measurement time: 0.0022]
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| 41 |
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[codecarbon INFO @ 19:58:11] Energy consumed for all CPUs : 0.000005 kWh. Total CPU Power : 42.5 W
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| 42 |
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[codecarbon DEBUG @ 19:58:11] CPU : 42.50 W during 0.41 s [measurement time: 0.0000]
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| 43 |
+
[codecarbon INFO @ 19:58:11] 0.000012 kWh of electricity used since the beginning.
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[codecarbon DEBUG @ 19:58:11] last_duration=0.4047611999849323
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| 45 |
+
------------------------
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[codecarbon DEBUG @ 19:58:11] EmissionsData(timestamp='2024-10-07T19:58:11', project_name='codecarbon', run_id='2d39c1fa-c60c-4a42-ae21-7478b6ecb362', duration=0.4079224629967939, emissions=4.6080039089515136e-06, emissions_rate=1.129627399064741e-05, cpu_power=42.5, gpu_power=67.79598290555053, ram_power=0.27332639694213867, cpu_energy=4.814476511859943e-06, gpu_energy=7.638061666259688e-06, ram_energy=3.073128944384957e-08, energy_consumed=1.248326946756348e-05, country_name='United States', country_iso_code='USA', region='virginia', cloud_provider='', cloud_region='', os='Linux-5.10.192-183.736.amzn2.x86_64-x86_64-with-glibc2.35', python_version='3.9.20', codecarbon_version='2.5.1', cpu_count=48, cpu_model='AMD EPYC 7R32', gpu_count=1, gpu_model='1 x NVIDIA A10G', longitude=-77.4903, latitude=39.0469, ram_total_size=186.7047882080078, tracking_mode='process', on_cloud='N', pue=1.0)
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[codecarbon DEBUG @ 19:58:11] EmissionsData(timestamp='2024-10-07T19:58:11', project_name='codecarbon', run_id='2d39c1fa-c60c-4a42-ae21-7478b6ecb362', duration=0.0022866150247864425, emissions=4.6080039089515136e-06, emissions_rate=0.0020152075705799563, cpu_power=42.5, gpu_power=67.79598290555053, ram_power=0.27332639694213867, cpu_energy=4.814476511859943e-06, gpu_energy=7.638061666259688e-06, ram_energy=3.073128944384957e-08, energy_consumed=1.248326946756348e-05, country_name='United States', country_iso_code='USA', region='virginia', cloud_provider='', cloud_region='', os='Linux-5.10.192-183.736.amzn2.x86_64-x86_64-with-glibc2.35', python_version='3.9.20', codecarbon_version='2.5.1', cpu_count=48, cpu_model='AMD EPYC 7R32', gpu_count=1, gpu_model='1 x NVIDIA A10G', longitude=-77.4903, latitude=39.0469, ram_total_size=186.7047882080078, tracking_mode='process', on_cloud='N', pue=1.0)
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| 387 |
+
/opt/conda/conda-bld/pytorch_1720538643151/work/aten/src/ATen/native/cuda/Indexing.cu:1284: indexSelectLargeIndex: block: [521,0,0], thread: [17,0,0] Assertion `srcIndex < srcSelectDimSize` failed.
|
| 388 |
+
/opt/conda/conda-bld/pytorch_1720538643151/work/aten/src/ATen/native/cuda/Indexing.cu:1284: indexSelectLargeIndex: block: [521,0,0], thread: [18,0,0] Assertion `srcIndex < srcSelectDimSize` failed.
|
| 389 |
+
/opt/conda/conda-bld/pytorch_1720538643151/work/aten/src/ATen/native/cuda/Indexing.cu:1284: indexSelectLargeIndex: block: [521,0,0], thread: [19,0,0] Assertion `srcIndex < srcSelectDimSize` failed.
|
| 390 |
+
/opt/conda/conda-bld/pytorch_1720538643151/work/aten/src/ATen/native/cuda/Indexing.cu:1284: indexSelectLargeIndex: block: [521,0,0], thread: [20,0,0] Assertion `srcIndex < srcSelectDimSize` failed.
|
| 391 |
+
/opt/conda/conda-bld/pytorch_1720538643151/work/aten/src/ATen/native/cuda/Indexing.cu:1284: indexSelectLargeIndex: block: [521,0,0], thread: [21,0,0] Assertion `srcIndex < srcSelectDimSize` failed.
|
| 392 |
+
/opt/conda/conda-bld/pytorch_1720538643151/work/aten/src/ATen/native/cuda/Indexing.cu:1284: indexSelectLargeIndex: block: [521,0,0], thread: [22,0,0] Assertion `srcIndex < srcSelectDimSize` failed.
|
| 393 |
+
/opt/conda/conda-bld/pytorch_1720538643151/work/aten/src/ATen/native/cuda/Indexing.cu:1284: indexSelectLargeIndex: block: [521,0,0], thread: [23,0,0] Assertion `srcIndex < srcSelectDimSize` failed.
|
| 394 |
+
/opt/conda/conda-bld/pytorch_1720538643151/work/aten/src/ATen/native/cuda/Indexing.cu:1284: indexSelectLargeIndex: block: [521,0,0], thread: [24,0,0] Assertion `srcIndex < srcSelectDimSize` failed.
|
| 395 |
+
/opt/conda/conda-bld/pytorch_1720538643151/work/aten/src/ATen/native/cuda/Indexing.cu:1284: indexSelectLargeIndex: block: [521,0,0], thread: [25,0,0] Assertion `srcIndex < srcSelectDimSize` failed.
|
| 396 |
+
/opt/conda/conda-bld/pytorch_1720538643151/work/aten/src/ATen/native/cuda/Indexing.cu:1284: indexSelectLargeIndex: block: [521,0,0], thread: [26,0,0] Assertion `srcIndex < srcSelectDimSize` failed.
|
| 397 |
+
/opt/conda/conda-bld/pytorch_1720538643151/work/aten/src/ATen/native/cuda/Indexing.cu:1284: indexSelectLargeIndex: block: [521,0,0], thread: [27,0,0] Assertion `srcIndex < srcSelectDimSize` failed.
|
| 398 |
+
/opt/conda/conda-bld/pytorch_1720538643151/work/aten/src/ATen/native/cuda/Indexing.cu:1284: indexSelectLargeIndex: block: [521,0,0], thread: [28,0,0] Assertion `srcIndex < srcSelectDimSize` failed.
|
| 399 |
+
/opt/conda/conda-bld/pytorch_1720538643151/work/aten/src/ATen/native/cuda/Indexing.cu:1284: indexSelectLargeIndex: block: [521,0,0], thread: [29,0,0] Assertion `srcIndex < srcSelectDimSize` failed.
|
| 400 |
+
/opt/conda/conda-bld/pytorch_1720538643151/work/aten/src/ATen/native/cuda/Indexing.cu:1284: indexSelectLargeIndex: block: [521,0,0], thread: [30,0,0] Assertion `srcIndex < srcSelectDimSize` failed.
|
| 401 |
+
/opt/conda/conda-bld/pytorch_1720538643151/work/aten/src/ATen/native/cuda/Indexing.cu:1284: indexSelectLargeIndex: block: [521,0,0], thread: [31,0,0] Assertion `srcIndex < srcSelectDimSize` failed.
|
| 402 |
+
|
| 403 |
2%|▏ | 22/1000 [00:00<00:07, 122.27it/s]
|
| 404 |
+
Error executing job with overrides: ['backend.model=cardiffnlp/twitter-roberta-base-sentiment-latest', 'backend.processor=cardiffnlp/twitter-roberta-base-sentiment-latest']
|
| 405 |
+
Traceback (most recent call last):
|
| 406 |
+
File "/optimum-benchmark/optimum_benchmark/cli.py", line 65, in benchmark_cli
|
| 407 |
+
benchmark_report: BenchmarkReport = launch(experiment_config=experiment_config)
|
| 408 |
+
File "/optimum-benchmark/optimum_benchmark/experiment.py", line 102, in launch
|
| 409 |
+
raise error
|
| 410 |
+
File "/optimum-benchmark/optimum_benchmark/experiment.py", line 90, in launch
|
| 411 |
+
report = launcher.launch(run, experiment_config.benchmark, experiment_config.backend)
|
| 412 |
+
File "/optimum-benchmark/optimum_benchmark/launchers/process/launcher.py", line 47, in launch
|
| 413 |
+
while not process_context.join():
|
| 414 |
+
File "/opt/conda/lib/python3.9/site-packages/torch/multiprocessing/spawn.py", line 189, in join
|
| 415 |
+
raise ProcessRaisedException(msg, error_index, failed_process.pid)
|
| 416 |
+
torch.multiprocessing.spawn.ProcessRaisedException:
|
| 417 |
+
|
| 418 |
+
-- Process 0 terminated with the following error:
|
| 419 |
+
Traceback (most recent call last):
|
| 420 |
+
File "/opt/conda/lib/python3.9/site-packages/torch/multiprocessing/spawn.py", line 76, in _wrap
|
| 421 |
+
fn(i, *args)
|
| 422 |
+
File "/optimum-benchmark/optimum_benchmark/launchers/process/launcher.py", line 63, in entrypoint
|
| 423 |
+
worker_output = worker(*worker_args)
|
| 424 |
+
File "/optimum-benchmark/optimum_benchmark/experiment.py", line 62, in run
|
| 425 |
+
benchmark.run(backend)
|
| 426 |
+
File "/optimum-benchmark/optimum_benchmark/benchmarks/energy_star/benchmark.py", line 178, in run
|
| 427 |
+
self.run_inference_energy_tracking(backend)
|
| 428 |
+
File "/optimum-benchmark/optimum_benchmark/benchmarks/energy_star/benchmark.py", line 262, in run_inference_energy_tracking
|
| 429 |
+
inputs = backend.prepare_inputs(inputs)
|
| 430 |
+
File "/optimum-benchmark/optimum_benchmark/backends/pytorch/backend.py", line 338, in prepare_inputs
|
| 431 |
+
inputs[key] = value.to(self.config.device)
|
| 432 |
+
RuntimeError: CUDA error: device-side assert triggered
|
| 433 |
+
CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.
|
| 434 |
+
For debugging consider passing CUDA_LAUNCH_BLOCKING=1
|
| 435 |
+
Compile with `TORCH_USE_CUDA_DSA` to enable device-side assertions.
|
| 436 |
+
|
| 437 |
+
|
| 438 |
+
|
| 439 |
+
Set the environment variable HYDRA_FULL_ERROR=1 for a complete stack trace.
|
preprocess_codecarbon.json
CHANGED
|
@@ -1,17 +1,17 @@
|
|
| 1 |
{
|
| 2 |
-
"timestamp": "2024-10-07T19:
|
| 3 |
"project_name": "codecarbon",
|
| 4 |
-
"run_id": "
|
| 5 |
-
"duration": -
|
| 6 |
-
"emissions": 4.
|
| 7 |
-
"emissions_rate": 1.
|
| 8 |
"cpu_power": 42.5,
|
| 9 |
-
"gpu_power":
|
| 10 |
-
"ram_power": 0.
|
| 11 |
-
"cpu_energy": 4.
|
| 12 |
-
"gpu_energy": 7.
|
| 13 |
-
"ram_energy": 3.
|
| 14 |
-
"energy_consumed": 1.
|
| 15 |
"country_name": "United States",
|
| 16 |
"country_iso_code": "USA",
|
| 17 |
"region": "virginia",
|
|
|
|
| 1 |
{
|
| 2 |
+
"timestamp": "2024-10-07T19:58:11",
|
| 3 |
"project_name": "codecarbon",
|
| 4 |
+
"run_id": "2d39c1fa-c60c-4a42-ae21-7478b6ecb362",
|
| 5 |
+
"duration": -1728168781.8415797,
|
| 6 |
+
"emissions": 4.6080039089515136e-06,
|
| 7 |
+
"emissions_rate": 1.1355942801798864e-05,
|
| 8 |
"cpu_power": 42.5,
|
| 9 |
+
"gpu_power": 67.79598290555053,
|
| 10 |
+
"ram_power": 0.27332639694213867,
|
| 11 |
+
"cpu_energy": 4.814476511859943e-06,
|
| 12 |
+
"gpu_energy": 7.638061666259688e-06,
|
| 13 |
+
"ram_energy": 3.073128944384957e-08,
|
| 14 |
+
"energy_consumed": 1.248326946756348e-05,
|
| 15 |
"country_name": "United States",
|
| 16 |
"country_iso_code": "USA",
|
| 17 |
"region": "virginia",
|