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  1. runs/cli.log +0 -0
  2. runs/text_classification/cardiffnlp/twitter-roberta-base-sentiment-latest/2024-10-07-21-01-02/.hydra/config.yaml +94 -0
  3. runs/text_classification/cardiffnlp/twitter-roberta-base-sentiment-latest/2024-10-07-21-01-02/.hydra/hydra.yaml +175 -0
  4. runs/text_classification/cardiffnlp/twitter-roberta-base-sentiment-latest/2024-10-07-21-01-02/.hydra/overrides.yaml +2 -0
  5. runs/text_classification/cardiffnlp/twitter-roberta-base-sentiment-latest/2024-10-07-21-01-02/cli.log +31 -0
  6. runs/text_classification/cardiffnlp/twitter-roberta-base-sentiment-latest/2024-10-07-21-01-02/error.log +404 -0
  7. runs/text_classification/cardiffnlp/twitter-roberta-base-sentiment-latest/2024-10-07-21-01-02/experiment_config.json +107 -0
  8. runs/text_classification/cardiffnlp/twitter-roberta-base-sentiment-latest/2024-10-07-21-01-02/preprocess_codecarbon.json +33 -0
runs/cli.log ADDED
File without changes
runs/text_classification/cardiffnlp/twitter-roberta-base-sentiment-latest/2024-10-07-21-01-02/.hydra/config.yaml ADDED
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+ backend:
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+ name: pytorch
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+ version: 2.4.0
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+ _target_: optimum_benchmark.backends.pytorch.backend.PyTorchBackend
5
+ task: text-classification
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+ model: cardiffnlp/twitter-roberta-base-sentiment-latest
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+ processor: cardiffnlp/twitter-roberta-base-sentiment-latest
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+ library: null
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+ device: cuda
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+ device_ids: '0'
11
+ seed: 42
12
+ inter_op_num_threads: null
13
+ intra_op_num_threads: null
14
+ hub_kwargs: {}
15
+ no_weights: true
16
+ device_map: null
17
+ torch_dtype: null
18
+ amp_autocast: false
19
+ amp_dtype: null
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+ eval_mode: true
21
+ to_bettertransformer: false
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+ low_cpu_mem_usage: null
23
+ attn_implementation: null
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+ cache_implementation: null
25
+ torch_compile: false
26
+ torch_compile_config: {}
27
+ quantization_scheme: null
28
+ quantization_config: {}
29
+ deepspeed_inference: false
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+ deepspeed_inference_config: {}
31
+ peft_type: null
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+ peft_config: {}
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+ launcher:
34
+ name: process
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+ _target_: optimum_benchmark.launchers.process.launcher.ProcessLauncher
36
+ device_isolation: true
37
+ device_isolation_action: warn
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+ start_method: spawn
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+ benchmark:
40
+ name: energy_star
41
+ _target_: optimum_benchmark.benchmarks.energy_star.benchmark.EnergyStarBenchmark
42
+ dataset_name: EnergyStarAI/text_classification
43
+ dataset_config: ''
44
+ dataset_split: train
45
+ num_samples: 1000
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+ input_shapes:
47
+ batch_size: 1
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+ text_column_name: text
49
+ truncation: true
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+ max_length: -1
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+ dataset_prefix1: ''
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+ dataset_prefix2: ''
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+ t5_task: ''
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+ image_column_name: image
55
+ resize: false
56
+ question_column_name: question
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+ context_column_name: context
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+ sentence1_column_name: sentence1
59
+ sentence2_column_name: sentence2
60
+ audio_column_name: audio
61
+ iterations: 10
62
+ warmup_runs: 10
63
+ energy: true
64
+ forward_kwargs: {}
65
+ generate_kwargs: {}
66
+ call_kwargs: {}
67
+ experiment_name: text_classification
68
+ environment:
69
+ cpu: ' AMD EPYC 7R32'
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+ cpu_count: 48
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+ cpu_ram_mb: 200472.73984
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+ system: Linux
73
+ machine: x86_64
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+ platform: Linux-5.10.192-183.736.amzn2.x86_64-x86_64-with-glibc2.35
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+ processor: x86_64
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+ python_version: 3.9.20
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+ gpu:
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+ - NVIDIA A10G
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+ gpu_count: 1
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+ gpu_vram_mb: 24146608128
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+ optimum_benchmark_version: 0.2.0
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+ optimum_benchmark_commit: null
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+ transformers_version: 4.44.0
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+ transformers_commit: null
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+ accelerate_version: 0.33.0
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+ accelerate_commit: null
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+ diffusers_version: 0.30.0
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+ diffusers_commit: null
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+ optimum_version: null
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+ optimum_commit: null
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+ timm_version: null
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+ timm_commit: null
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+ peft_version: null
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+ peft_commit: null
runs/text_classification/cardiffnlp/twitter-roberta-base-sentiment-latest/2024-10-07-21-01-02/.hydra/hydra.yaml ADDED
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+ hydra:
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+ run:
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+ dir: ./runs/text_classification/cardiffnlp/twitter-roberta-base-sentiment-latest/2024-10-07-21-01-02
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+ sweep:
5
+ dir: sweeps/${experiment_name}/${now:%Y-%m-%d-%H-%M-%S}
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+ subdir: ${hydra.job.num}
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+ launcher:
8
+ _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher
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+ sweeper:
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+ _target_: hydra._internal.core_plugins.basic_sweeper.BasicSweeper
11
+ max_batch_size: null
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+ params: null
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+ help:
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+ app_name: ${hydra.job.name}
15
+ header: '${hydra.help.app_name} is powered by Hydra.
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+
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+ '
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+ footer: 'Powered by Hydra (https://hydra.cc)
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+
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+ Use --hydra-help to view Hydra specific help
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+
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+ '
23
+ template: '${hydra.help.header}
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+
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+ == Configuration groups ==
26
+
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+ Compose your configuration from those groups (group=option)
28
+
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+
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+ $APP_CONFIG_GROUPS
31
+
32
+
33
+ == Config ==
34
+
35
+ Override anything in the config (foo.bar=value)
36
+
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+
38
+ $CONFIG
39
+
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+
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+ ${hydra.help.footer}
42
+
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+ '
44
+ hydra_help:
45
+ template: 'Hydra (${hydra.runtime.version})
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+
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+ See https://hydra.cc for more info.
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+
49
+
50
+ == Flags ==
51
+
52
+ $FLAGS_HELP
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+
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+
55
+ == Configuration groups ==
56
+
57
+ Compose your configuration from those groups (For example, append hydra/job_logging=disabled
58
+ to command line)
59
+
60
+
61
+ $HYDRA_CONFIG_GROUPS
62
+
63
+
64
+ Use ''--cfg hydra'' to Show the Hydra config.
65
+
66
+ '
67
+ hydra_help: ???
68
+ hydra_logging:
69
+ version: 1
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+ formatters:
71
+ colorlog:
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+ (): colorlog.ColoredFormatter
73
+ format: '[%(cyan)s%(asctime)s%(reset)s][%(purple)sHYDRA%(reset)s] %(message)s'
74
+ handlers:
75
+ console:
76
+ class: logging.StreamHandler
77
+ formatter: colorlog
78
+ stream: ext://sys.stdout
79
+ root:
80
+ level: INFO
81
+ handlers:
82
+ - console
83
+ disable_existing_loggers: false
84
+ job_logging:
85
+ version: 1
86
+ formatters:
87
+ simple:
88
+ format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s'
89
+ colorlog:
90
+ (): colorlog.ColoredFormatter
91
+ format: '[%(cyan)s%(asctime)s%(reset)s][%(blue)s%(name)s%(reset)s][%(log_color)s%(levelname)s%(reset)s]
92
+ - %(message)s'
93
+ log_colors:
94
+ DEBUG: purple
95
+ INFO: green
96
+ WARNING: yellow
97
+ ERROR: red
98
+ CRITICAL: red
99
+ handlers:
100
+ console:
101
+ class: logging.StreamHandler
102
+ formatter: colorlog
103
+ stream: ext://sys.stdout
104
+ file:
105
+ class: logging.FileHandler
106
+ formatter: simple
107
+ filename: ${hydra.job.name}.log
108
+ root:
109
+ level: INFO
110
+ handlers:
111
+ - console
112
+ - file
113
+ disable_existing_loggers: false
114
+ env: {}
115
+ mode: RUN
116
+ searchpath: []
117
+ callbacks: {}
118
+ output_subdir: .hydra
119
+ overrides:
120
+ hydra:
121
+ - hydra.run.dir=./runs/text_classification/cardiffnlp/twitter-roberta-base-sentiment-latest/2024-10-07-21-01-02
122
+ - hydra.mode=RUN
123
+ task:
124
+ - backend.model=cardiffnlp/twitter-roberta-base-sentiment-latest
125
+ - backend.processor=cardiffnlp/twitter-roberta-base-sentiment-latest
126
+ job:
127
+ name: cli
128
+ chdir: true
129
+ override_dirname: backend.model=cardiffnlp/twitter-roberta-base-sentiment-latest,backend.processor=cardiffnlp/twitter-roberta-base-sentiment-latest
130
+ id: ???
131
+ num: ???
132
+ config_name: text_classification
133
+ env_set:
134
+ OVERRIDE_BENCHMARKS: '1'
135
+ env_copy: []
136
+ config:
137
+ override_dirname:
138
+ kv_sep: '='
139
+ item_sep: ','
140
+ exclude_keys: []
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+ runtime:
142
+ version: 1.3.2
143
+ version_base: '1.3'
144
+ cwd: /
145
+ config_sources:
146
+ - path: hydra.conf
147
+ schema: pkg
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+ provider: hydra
149
+ - path: optimum_benchmark
150
+ schema: pkg
151
+ provider: main
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+ - path: hydra_plugins.hydra_colorlog.conf
153
+ schema: pkg
154
+ provider: hydra-colorlog
155
+ - path: /optimum-benchmark/examples/energy_star
156
+ schema: file
157
+ provider: command-line
158
+ - path: ''
159
+ schema: structured
160
+ provider: schema
161
+ output_dir: /runs/text_classification/cardiffnlp/twitter-roberta-base-sentiment-latest/2024-10-07-21-01-02
162
+ choices:
163
+ benchmark: energy_star
164
+ launcher: process
165
+ backend: pytorch
166
+ hydra/env: default
167
+ hydra/callbacks: null
168
+ hydra/job_logging: colorlog
169
+ hydra/hydra_logging: colorlog
170
+ hydra/hydra_help: default
171
+ hydra/help: default
172
+ hydra/sweeper: basic
173
+ hydra/launcher: basic
174
+ hydra/output: default
175
+ verbose: false
runs/text_classification/cardiffnlp/twitter-roberta-base-sentiment-latest/2024-10-07-21-01-02/.hydra/overrides.yaml ADDED
@@ -0,0 +1,2 @@
 
 
 
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+ - backend.model=cardiffnlp/twitter-roberta-base-sentiment-latest
2
+ - backend.processor=cardiffnlp/twitter-roberta-base-sentiment-latest
runs/text_classification/cardiffnlp/twitter-roberta-base-sentiment-latest/2024-10-07-21-01-02/cli.log ADDED
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+ [2024-10-07 21:01:04,866][launcher][INFO] - ََAllocating process launcher
2
+ [2024-10-07 21:01:04,866][process][INFO] - + Setting multiprocessing start method to spawn.
3
+ [2024-10-07 21:01:04,877][device-isolation][INFO] - + Launched device(s) isolation process 180
4
+ [2024-10-07 21:01:04,877][device-isolation][INFO] - + Isolating device(s) [0]
5
+ [2024-10-07 21:01:04,882][process][INFO] - + Launched benchmark in isolated process 181.
6
+ [PROC-0][2024-10-07 21:01:07,464][datasets][INFO] - PyTorch version 2.4.0 available.
7
+ [PROC-0][2024-10-07 21:01:08,402][backend][INFO] - َAllocating pytorch backend
8
+ [PROC-0][2024-10-07 21:01:08,403][backend][INFO] - + Setting random seed to 42
9
+ [PROC-0][2024-10-07 21:01:09,053][pytorch][INFO] - + Using AutoModel class AutoModelForSequenceClassification
10
+ [PROC-0][2024-10-07 21:01:09,053][pytorch][INFO] - + Creating backend temporary directory
11
+ [PROC-0][2024-10-07 21:01:09,053][pytorch][INFO] - + Loading model with random weights
12
+ [PROC-0][2024-10-07 21:01:09,053][pytorch][INFO] - + Creating no weights model
13
+ [PROC-0][2024-10-07 21:01:09,053][pytorch][INFO] - + Creating no weights model directory
14
+ [PROC-0][2024-10-07 21:01:09,054][pytorch][INFO] - + Creating no weights model state dict
15
+ [PROC-0][2024-10-07 21:01:09,056][pytorch][INFO] - + Saving no weights model safetensors
16
+ [PROC-0][2024-10-07 21:01:09,056][pytorch][INFO] - + Saving no weights model pretrained config
17
+ [PROC-0][2024-10-07 21:01:09,057][pytorch][INFO] - + Loading no weights AutoModel
18
+ [PROC-0][2024-10-07 21:01:09,057][pytorch][INFO] - + Loading model directly on device: cuda
19
+ [PROC-0][2024-10-07 21:01:09,285][pytorch][INFO] - + Turning on model's eval mode
20
+ [PROC-0][2024-10-07 21:01:09,291][benchmark][INFO] - Allocating energy_star benchmark
21
+ [PROC-0][2024-10-07 21:01:09,291][energy_star][INFO] - + Loading raw dataset
22
+ [PROC-0][2024-10-07 21:01:10,353][energy_star][INFO] - + Initializing Inference report
23
+ [PROC-0][2024-10-07 21:01:10,354][energy][INFO] - + Tracking GPU energy on devices [0]
24
+ [PROC-0][2024-10-07 21:01:14,537][energy_star][INFO] - + Preprocessing dataset
25
+ [PROC-0][2024-10-07 21:01:14,947][energy][INFO] - + Saving codecarbon emission data to preprocess_codecarbon.json
26
+ [PROC-0][2024-10-07 21:01:14,947][energy_star][INFO] - + Preparing backend for Inference
27
+ [PROC-0][2024-10-07 21:01:14,948][energy_star][INFO] - + Initialising dataloader
28
+ [PROC-0][2024-10-07 21:01:14,948][energy_star][INFO] - + Warming up backend for Inference
29
+ [PROC-0][2024-10-07 21:01:15,495][energy_star][INFO] - + Running Inference energy tracking for 10 iterations
30
+ [PROC-0][2024-10-07 21:01:15,496][energy_star][INFO] - + Iteration 1/10
31
+ [2024-10-07 21:01:16,299][experiment][ERROR] - Error during experiment
runs/text_classification/cardiffnlp/twitter-roberta-base-sentiment-latest/2024-10-07-21-01-02/error.log ADDED
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0
  0%| | 0/1000 [00:00<?, ?it/s]
1
  2%|▏ | 15/1000 [00:00<00:06, 141.37it/s]/opt/conda/conda-bld/pytorch_1720538643151/work/aten/src/ATen/native/cuda/Indexing.cu:1284: indexSelectLargeIndex: block: [514,0,0], thread: [0,0,0] Assertion `srcIndex < srcSelectDimSize` failed.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
2
  2%|▏ | 22/1000 [00:00<00:07, 123.25it/s]
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ /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
2
+ warnings.warn(
3
+
4
+
5
+
6
+
7
+
8
+
9
+
10
+ [codecarbon INFO @ 21:01:10] [setup] RAM Tracking...
11
+ [codecarbon INFO @ 21:01:10] [setup] GPU Tracking...
12
+ [codecarbon INFO @ 21:01:10] Tracking Nvidia GPU via pynvml
13
+ [codecarbon DEBUG @ 21:01:10] GPU available. Starting setup
14
+ [codecarbon INFO @ 21:01:10] [setup] CPU Tracking...
15
+ [codecarbon DEBUG @ 21:01:10] Not using PowerGadget, an exception occurred while instantiating IntelPowerGadget : Platform not supported by Intel Power Gadget
16
+ [codecarbon DEBUG @ 21:01:10] Not using the RAPL interface, an exception occurred while instantiating IntelRAPL : Intel RAPL files not found at /sys/class/powercap/intel-rapl on linux
17
+ [codecarbon DEBUG @ 21:01:10] Not using PowerMetrics, an exception occurred while instantiating Powermetrics : Platform not supported by Powermetrics
18
+ [codecarbon WARNING @ 21:01:10] No CPU tracking mode found. Falling back on CPU constant mode.
19
+ [codecarbon WARNING @ 21:01:11] We saw that you have a AMD EPYC 7R32 but we don't know it. Please contact us.
20
+ [codecarbon INFO @ 21:01:11] CPU Model on constant consumption mode: AMD EPYC 7R32
21
+ [codecarbon INFO @ 21:01:11] >>> Tracker's metadata:
22
+ [codecarbon INFO @ 21:01:11] Platform system: Linux-5.10.192-183.736.amzn2.x86_64-x86_64-with-glibc2.35
23
+ [codecarbon INFO @ 21:01:11] Python version: 3.9.20
24
+ [codecarbon INFO @ 21:01:11] CodeCarbon version: 2.5.1
25
+ [codecarbon INFO @ 21:01:11] Available RAM : 186.705 GB
26
+ [codecarbon INFO @ 21:01:11] CPU count: 48
27
+ [codecarbon INFO @ 21:01:11] CPU model: AMD EPYC 7R32
28
+ [codecarbon INFO @ 21:01:11] GPU count: 1
29
+ [codecarbon INFO @ 21:01:11] GPU model: 1 x NVIDIA A10G
30
+ [codecarbon DEBUG @ 21:01:12] Not running on AWS
31
+ [codecarbon DEBUG @ 21:01:13] Not running on Azure
32
+ [codecarbon DEBUG @ 21:01:14] Not running on GCP
33
+ [codecarbon INFO @ 21:01:14] Saving emissions data to file /runs/text_classification/cardiffnlp/twitter-roberta-base-sentiment-latest/2024-10-07-21-01-02/codecarbon.csv
34
+ [codecarbon DEBUG @ 21:01:14] EmissionsData(timestamp='2024-10-07T21:01:14', project_name='codecarbon', run_id='8e60eccc-3968-4a05-8156-5dc86327c842', duration=0.002138666983228177, 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)
35
+
36
+
37
+ [codecarbon INFO @ 21:01:14] Energy consumed for RAM : 0.000000 kWh. RAM Power : 0.2738456726074219 W
38
+ [codecarbon DEBUG @ 21:01:14] RAM : 0.27 W during 0.41 s [measurement time: 0.0005]
39
+ [codecarbon INFO @ 21:01:14] Energy consumed for all GPUs : 0.000008 kWh. Total GPU Power : 69.15775861545737 W
40
+ [codecarbon DEBUG @ 21:01:14] GPU : 69.16 W during 0.41 s [measurement time: 0.0022]
41
+ [codecarbon INFO @ 21:01:14] Energy consumed for all CPUs : 0.000005 kWh. Total CPU Power : 42.5 W
42
+ [codecarbon DEBUG @ 21:01:14] CPU : 42.50 W during 0.41 s [measurement time: 0.0000]
43
+ [codecarbon INFO @ 21:01:14] 0.000013 kWh of electricity used since the beginning.
44
+ [codecarbon DEBUG @ 21:01:14] last_duration=0.40636952000204474
45
+ ------------------------
46
+ [codecarbon DEBUG @ 21:01:14] EmissionsData(timestamp='2024-10-07T21:01:14', project_name='codecarbon', run_id='8e60eccc-3968-4a05-8156-5dc86327c842', duration=0.4095083500142209, emissions=4.682869127876532e-06, emissions_rate=1.1435344670539466e-05, cpu_power=42.5, gpu_power=69.15775861545737, ram_power=0.2738456726074219, cpu_energy=4.833219672703612e-06, gpu_energy=7.821950702258107e-06, ram_energy=3.091200683858357e-08, energy_consumed=1.2686082381800302e-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)
47
+ [codecarbon DEBUG @ 21:01:15] EmissionsData(timestamp='2024-10-07T21:01:15', project_name='codecarbon', run_id='8e60eccc-3968-4a05-8156-5dc86327c842', duration=0.005007231957279146, emissions=4.682869127876532e-06, emissions_rate=0.0009352211297239628, cpu_power=42.5, gpu_power=69.15775861545737, ram_power=0.2738456726074219, cpu_energy=4.833219672703612e-06, gpu_energy=7.821950702258107e-06, ram_energy=3.091200683858357e-08, energy_consumed=1.2686082381800302e-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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+ /opt/conda/conda-bld/pytorch_1720538643151/work/aten/src/ATen/native/cuda/Indexing.cu:1284: indexSelectLargeIndex: block: [512,0,0], thread: [78,0,0] Assertion `srcIndex < srcSelectDimSize` failed.
321
+ /opt/conda/conda-bld/pytorch_1720538643151/work/aten/src/ATen/native/cuda/Indexing.cu:1284: indexSelectLargeIndex: block: [512,0,0], thread: [79,0,0] Assertion `srcIndex < srcSelectDimSize` failed.
322
+ /opt/conda/conda-bld/pytorch_1720538643151/work/aten/src/ATen/native/cuda/Indexing.cu:1284: indexSelectLargeIndex: block: [512,0,0], thread: [80,0,0] Assertion `srcIndex < srcSelectDimSize` failed.
323
+ /opt/conda/conda-bld/pytorch_1720538643151/work/aten/src/ATen/native/cuda/Indexing.cu:1284: indexSelectLargeIndex: block: [512,0,0], thread: [81,0,0] Assertion `srcIndex < srcSelectDimSize` failed.
324
+ /opt/conda/conda-bld/pytorch_1720538643151/work/aten/src/ATen/native/cuda/Indexing.cu:1284: indexSelectLargeIndex: block: [512,0,0], thread: [82,0,0] Assertion `srcIndex < srcSelectDimSize` failed.
325
+ /opt/conda/conda-bld/pytorch_1720538643151/work/aten/src/ATen/native/cuda/Indexing.cu:1284: indexSelectLargeIndex: block: [512,0,0], thread: [83,0,0] Assertion `srcIndex < srcSelectDimSize` failed.
326
+ /opt/conda/conda-bld/pytorch_1720538643151/work/aten/src/ATen/native/cuda/Indexing.cu:1284: indexSelectLargeIndex: block: [512,0,0], thread: [84,0,0] Assertion `srcIndex < srcSelectDimSize` failed.
327
+ /opt/conda/conda-bld/pytorch_1720538643151/work/aten/src/ATen/native/cuda/Indexing.cu:1284: indexSelectLargeIndex: block: [512,0,0], thread: [85,0,0] Assertion `srcIndex < srcSelectDimSize` failed.
328
+ /opt/conda/conda-bld/pytorch_1720538643151/work/aten/src/ATen/native/cuda/Indexing.cu:1284: indexSelectLargeIndex: block: [512,0,0], thread: [86,0,0] Assertion `srcIndex < srcSelectDimSize` failed.
329
+ /opt/conda/conda-bld/pytorch_1720538643151/work/aten/src/ATen/native/cuda/Indexing.cu:1284: indexSelectLargeIndex: block: [512,0,0], thread: [87,0,0] Assertion `srcIndex < srcSelectDimSize` failed.
330
+ /opt/conda/conda-bld/pytorch_1720538643151/work/aten/src/ATen/native/cuda/Indexing.cu:1284: indexSelectLargeIndex: block: [512,0,0], thread: [88,0,0] Assertion `srcIndex < srcSelectDimSize` failed.
331
+ /opt/conda/conda-bld/pytorch_1720538643151/work/aten/src/ATen/native/cuda/Indexing.cu:1284: indexSelectLargeIndex: block: [512,0,0], thread: [89,0,0] Assertion `srcIndex < srcSelectDimSize` failed.
332
+ /opt/conda/conda-bld/pytorch_1720538643151/work/aten/src/ATen/native/cuda/Indexing.cu:1284: indexSelectLargeIndex: block: [512,0,0], thread: [90,0,0] Assertion `srcIndex < srcSelectDimSize` failed.
333
+ /opt/conda/conda-bld/pytorch_1720538643151/work/aten/src/ATen/native/cuda/Indexing.cu:1284: indexSelectLargeIndex: block: [512,0,0], thread: [91,0,0] Assertion `srcIndex < srcSelectDimSize` failed.
334
+ /opt/conda/conda-bld/pytorch_1720538643151/work/aten/src/ATen/native/cuda/Indexing.cu:1284: indexSelectLargeIndex: block: [512,0,0], thread: [92,0,0] Assertion `srcIndex < srcSelectDimSize` failed.
335
+ /opt/conda/conda-bld/pytorch_1720538643151/work/aten/src/ATen/native/cuda/Indexing.cu:1284: indexSelectLargeIndex: block: [512,0,0], thread: [93,0,0] Assertion `srcIndex < srcSelectDimSize` failed.
336
+ /opt/conda/conda-bld/pytorch_1720538643151/work/aten/src/ATen/native/cuda/Indexing.cu:1284: indexSelectLargeIndex: block: [512,0,0], thread: [94,0,0] Assertion `srcIndex < srcSelectDimSize` failed.
337
+ /opt/conda/conda-bld/pytorch_1720538643151/work/aten/src/ATen/native/cuda/Indexing.cu:1284: indexSelectLargeIndex: block: [512,0,0], thread: [95,0,0] Assertion `srcIndex < srcSelectDimSize` failed.
338
+ /opt/conda/conda-bld/pytorch_1720538643151/work/aten/src/ATen/native/cuda/Indexing.cu:1284: indexSelectLargeIndex: block: [521,0,0], thread: [32,0,0] Assertion `srcIndex < srcSelectDimSize` failed.
339
+ /opt/conda/conda-bld/pytorch_1720538643151/work/aten/src/ATen/native/cuda/Indexing.cu:1284: indexSelectLargeIndex: block: [521,0,0], thread: [33,0,0] Assertion `srcIndex < srcSelectDimSize` failed.
340
+ /opt/conda/conda-bld/pytorch_1720538643151/work/aten/src/ATen/native/cuda/Indexing.cu:1284: indexSelectLargeIndex: block: [521,0,0], thread: [34,0,0] Assertion `srcIndex < srcSelectDimSize` failed.
341
+ /opt/conda/conda-bld/pytorch_1720538643151/work/aten/src/ATen/native/cuda/Indexing.cu:1284: indexSelectLargeIndex: block: [521,0,0], thread: [35,0,0] Assertion `srcIndex < srcSelectDimSize` failed.
342
+ /opt/conda/conda-bld/pytorch_1720538643151/work/aten/src/ATen/native/cuda/Indexing.cu:1284: indexSelectLargeIndex: block: [521,0,0], thread: [36,0,0] Assertion `srcIndex < srcSelectDimSize` failed.
343
+ /opt/conda/conda-bld/pytorch_1720538643151/work/aten/src/ATen/native/cuda/Indexing.cu:1284: indexSelectLargeIndex: block: [521,0,0], thread: [37,0,0] Assertion `srcIndex < srcSelectDimSize` failed.
344
+ /opt/conda/conda-bld/pytorch_1720538643151/work/aten/src/ATen/native/cuda/Indexing.cu:1284: indexSelectLargeIndex: block: [521,0,0], thread: [38,0,0] Assertion `srcIndex < srcSelectDimSize` failed.
345
+ /opt/conda/conda-bld/pytorch_1720538643151/work/aten/src/ATen/native/cuda/Indexing.cu:1284: indexSelectLargeIndex: block: [521,0,0], thread: [39,0,0] Assertion `srcIndex < srcSelectDimSize` failed.
346
+ /opt/conda/conda-bld/pytorch_1720538643151/work/aten/src/ATen/native/cuda/Indexing.cu:1284: indexSelectLargeIndex: block: [521,0,0], thread: [40,0,0] Assertion `srcIndex < srcSelectDimSize` failed.
347
+ /opt/conda/conda-bld/pytorch_1720538643151/work/aten/src/ATen/native/cuda/Indexing.cu:1284: indexSelectLargeIndex: block: [521,0,0], thread: [41,0,0] Assertion `srcIndex < srcSelectDimSize` failed.
348
+ /opt/conda/conda-bld/pytorch_1720538643151/work/aten/src/ATen/native/cuda/Indexing.cu:1284: indexSelectLargeIndex: block: [521,0,0], thread: [42,0,0] Assertion `srcIndex < srcSelectDimSize` failed.
349
+ /opt/conda/conda-bld/pytorch_1720538643151/work/aten/src/ATen/native/cuda/Indexing.cu:1284: indexSelectLargeIndex: block: [521,0,0], thread: [43,0,0] Assertion `srcIndex < srcSelectDimSize` failed.
350
+ /opt/conda/conda-bld/pytorch_1720538643151/work/aten/src/ATen/native/cuda/Indexing.cu:1284: indexSelectLargeIndex: block: [521,0,0], thread: [44,0,0] Assertion `srcIndex < srcSelectDimSize` failed.
351
+ /opt/conda/conda-bld/pytorch_1720538643151/work/aten/src/ATen/native/cuda/Indexing.cu:1284: indexSelectLargeIndex: block: [521,0,0], thread: [45,0,0] Assertion `srcIndex < srcSelectDimSize` failed.
352
+ /opt/conda/conda-bld/pytorch_1720538643151/work/aten/src/ATen/native/cuda/Indexing.cu:1284: indexSelectLargeIndex: block: [521,0,0], thread: [46,0,0] Assertion `srcIndex < srcSelectDimSize` failed.
353
+ /opt/conda/conda-bld/pytorch_1720538643151/work/aten/src/ATen/native/cuda/Indexing.cu:1284: indexSelectLargeIndex: block: [521,0,0], thread: [47,0,0] Assertion `srcIndex < srcSelectDimSize` failed.
354
+ /opt/conda/conda-bld/pytorch_1720538643151/work/aten/src/ATen/native/cuda/Indexing.cu:1284: indexSelectLargeIndex: block: [521,0,0], thread: [48,0,0] Assertion `srcIndex < srcSelectDimSize` failed.
355
+ /opt/conda/conda-bld/pytorch_1720538643151/work/aten/src/ATen/native/cuda/Indexing.cu:1284: indexSelectLargeIndex: block: [521,0,0], thread: [49,0,0] Assertion `srcIndex < srcSelectDimSize` failed.
356
+ /opt/conda/conda-bld/pytorch_1720538643151/work/aten/src/ATen/native/cuda/Indexing.cu:1284: indexSelectLargeIndex: block: [521,0,0], thread: [50,0,0] Assertion `srcIndex < srcSelectDimSize` failed.
357
+ /opt/conda/conda-bld/pytorch_1720538643151/work/aten/src/ATen/native/cuda/Indexing.cu:1284: indexSelectLargeIndex: block: [521,0,0], thread: [51,0,0] Assertion `srcIndex < srcSelectDimSize` failed.
358
+ /opt/conda/conda-bld/pytorch_1720538643151/work/aten/src/ATen/native/cuda/Indexing.cu:1284: indexSelectLargeIndex: block: [521,0,0], thread: [52,0,0] Assertion `srcIndex < srcSelectDimSize` failed.
359
+ /opt/conda/conda-bld/pytorch_1720538643151/work/aten/src/ATen/native/cuda/Indexing.cu:1284: indexSelectLargeIndex: block: [521,0,0], thread: [53,0,0] Assertion `srcIndex < srcSelectDimSize` failed.
360
+ /opt/conda/conda-bld/pytorch_1720538643151/work/aten/src/ATen/native/cuda/Indexing.cu:1284: indexSelectLargeIndex: block: [521,0,0], thread: [54,0,0] Assertion `srcIndex < srcSelectDimSize` failed.
361
+ /opt/conda/conda-bld/pytorch_1720538643151/work/aten/src/ATen/native/cuda/Indexing.cu:1284: indexSelectLargeIndex: block: [521,0,0], thread: [55,0,0] Assertion `srcIndex < srcSelectDimSize` failed.
362
+ /opt/conda/conda-bld/pytorch_1720538643151/work/aten/src/ATen/native/cuda/Indexing.cu:1284: indexSelectLargeIndex: block: [521,0,0], thread: [56,0,0] Assertion `srcIndex < srcSelectDimSize` failed.
363
+ /opt/conda/conda-bld/pytorch_1720538643151/work/aten/src/ATen/native/cuda/Indexing.cu:1284: indexSelectLargeIndex: block: [521,0,0], thread: [57,0,0] Assertion `srcIndex < srcSelectDimSize` failed.
364
+ /opt/conda/conda-bld/pytorch_1720538643151/work/aten/src/ATen/native/cuda/Indexing.cu:1284: indexSelectLargeIndex: block: [521,0,0], thread: [58,0,0] Assertion `srcIndex < srcSelectDimSize` failed.
365
+ /opt/conda/conda-bld/pytorch_1720538643151/work/aten/src/ATen/native/cuda/Indexing.cu:1284: indexSelectLargeIndex: block: [521,0,0], thread: [59,0,0] Assertion `srcIndex < srcSelectDimSize` failed.
366
+ /opt/conda/conda-bld/pytorch_1720538643151/work/aten/src/ATen/native/cuda/Indexing.cu:1284: indexSelectLargeIndex: block: [521,0,0], thread: [60,0,0] Assertion `srcIndex < srcSelectDimSize` failed.
367
+ /opt/conda/conda-bld/pytorch_1720538643151/work/aten/src/ATen/native/cuda/Indexing.cu:1284: indexSelectLargeIndex: block: [521,0,0], thread: [61,0,0] Assertion `srcIndex < srcSelectDimSize` failed.
368
+ /opt/conda/conda-bld/pytorch_1720538643151/work/aten/src/ATen/native/cuda/Indexing.cu:1284: indexSelectLargeIndex: block: [521,0,0], thread: [62,0,0] Assertion `srcIndex < srcSelectDimSize` failed.
369
+ /opt/conda/conda-bld/pytorch_1720538643151/work/aten/src/ATen/native/cuda/Indexing.cu:1284: indexSelectLargeIndex: block: [521,0,0], thread: [63,0,0] Assertion `srcIndex < srcSelectDimSize` failed.
370
+
371
  2%|▏ | 22/1000 [00:00<00:07, 123.25it/s]
372
+ Error executing job with overrides: ['backend.model=cardiffnlp/twitter-roberta-base-sentiment-latest', 'backend.processor=cardiffnlp/twitter-roberta-base-sentiment-latest']
373
+ Traceback (most recent call last):
374
+ File "/optimum-benchmark/optimum_benchmark/cli.py", line 65, in benchmark_cli
375
+ benchmark_report: BenchmarkReport = launch(experiment_config=experiment_config)
376
+ File "/optimum-benchmark/optimum_benchmark/experiment.py", line 102, in launch
377
+ raise error
378
+ File "/optimum-benchmark/optimum_benchmark/experiment.py", line 90, in launch
379
+ report = launcher.launch(run, experiment_config.benchmark, experiment_config.backend)
380
+ File "/optimum-benchmark/optimum_benchmark/launchers/process/launcher.py", line 47, in launch
381
+ while not process_context.join():
382
+ File "/opt/conda/lib/python3.9/site-packages/torch/multiprocessing/spawn.py", line 189, in join
383
+ raise ProcessRaisedException(msg, error_index, failed_process.pid)
384
+ torch.multiprocessing.spawn.ProcessRaisedException:
385
+
386
+ -- Process 0 terminated with the following error:
387
+ Traceback (most recent call last):
388
+ File "/opt/conda/lib/python3.9/site-packages/torch/multiprocessing/spawn.py", line 76, in _wrap
389
+ fn(i, *args)
390
+ File "/optimum-benchmark/optimum_benchmark/launchers/process/launcher.py", line 63, in entrypoint
391
+ worker_output = worker(*worker_args)
392
+ File "/optimum-benchmark/optimum_benchmark/experiment.py", line 62, in run
393
+ benchmark.run(backend)
394
+ File "/optimum-benchmark/optimum_benchmark/benchmarks/energy_star/benchmark.py", line 178, in run
395
+ self.run_inference_energy_tracking(backend)
396
+ File "/optimum-benchmark/optimum_benchmark/benchmarks/energy_star/benchmark.py", line 262, in run_inference_energy_tracking
397
+ inputs = backend.prepare_inputs(inputs)
398
+ File "/optimum-benchmark/optimum_benchmark/backends/pytorch/backend.py", line 338, in prepare_inputs
399
+ inputs[key] = value.to(self.config.device)
400
+ RuntimeError: CUDA error: device-side assert triggered
401
+ CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.
402
+ For debugging consider passing CUDA_LAUNCH_BLOCKING=1
403
+ Compile with `TORCH_USE_CUDA_DSA` to enable device-side assertions.
404
+
405
+
406
+
407
+ Set the environment variable HYDRA_FULL_ERROR=1 for a complete stack trace.
runs/text_classification/cardiffnlp/twitter-roberta-base-sentiment-latest/2024-10-07-21-01-02/experiment_config.json ADDED
@@ -0,0 +1,107 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "experiment_name": "text_classification",
3
+ "backend": {
4
+ "name": "pytorch",
5
+ "version": "2.4.0",
6
+ "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
7
+ "task": "text-classification",
8
+ "model": "cardiffnlp/twitter-roberta-base-sentiment-latest",
9
+ "processor": "cardiffnlp/twitter-roberta-base-sentiment-latest",
10
+ "library": "transformers",
11
+ "device": "cuda",
12
+ "device_ids": "0",
13
+ "seed": 42,
14
+ "inter_op_num_threads": null,
15
+ "intra_op_num_threads": null,
16
+ "hub_kwargs": {
17
+ "revision": "main",
18
+ "force_download": false,
19
+ "local_files_only": false,
20
+ "trust_remote_code": true
21
+ },
22
+ "no_weights": true,
23
+ "device_map": null,
24
+ "torch_dtype": null,
25
+ "amp_autocast": false,
26
+ "amp_dtype": null,
27
+ "eval_mode": true,
28
+ "to_bettertransformer": false,
29
+ "low_cpu_mem_usage": null,
30
+ "attn_implementation": null,
31
+ "cache_implementation": null,
32
+ "torch_compile": false,
33
+ "torch_compile_config": {},
34
+ "quantization_scheme": null,
35
+ "quantization_config": {},
36
+ "deepspeed_inference": false,
37
+ "deepspeed_inference_config": {},
38
+ "peft_type": null,
39
+ "peft_config": {}
40
+ },
41
+ "launcher": {
42
+ "name": "process",
43
+ "_target_": "optimum_benchmark.launchers.process.launcher.ProcessLauncher",
44
+ "device_isolation": true,
45
+ "device_isolation_action": "warn",
46
+ "start_method": "spawn"
47
+ },
48
+ "benchmark": {
49
+ "name": "energy_star",
50
+ "_target_": "optimum_benchmark.benchmarks.energy_star.benchmark.EnergyStarBenchmark",
51
+ "dataset_name": "EnergyStarAI/text_classification",
52
+ "dataset_config": "",
53
+ "dataset_split": "train",
54
+ "num_samples": 1000,
55
+ "input_shapes": {
56
+ "batch_size": 1
57
+ },
58
+ "text_column_name": "text",
59
+ "truncation": true,
60
+ "max_length": -1,
61
+ "dataset_prefix1": "",
62
+ "dataset_prefix2": "",
63
+ "t5_task": "",
64
+ "image_column_name": "image",
65
+ "resize": false,
66
+ "question_column_name": "question",
67
+ "context_column_name": "context",
68
+ "sentence1_column_name": "sentence1",
69
+ "sentence2_column_name": "sentence2",
70
+ "audio_column_name": "audio",
71
+ "iterations": 10,
72
+ "warmup_runs": 10,
73
+ "energy": true,
74
+ "forward_kwargs": {},
75
+ "generate_kwargs": {},
76
+ "call_kwargs": {}
77
+ },
78
+ "environment": {
79
+ "cpu": " AMD EPYC 7R32",
80
+ "cpu_count": 48,
81
+ "cpu_ram_mb": 200472.73984,
82
+ "system": "Linux",
83
+ "machine": "x86_64",
84
+ "platform": "Linux-5.10.192-183.736.amzn2.x86_64-x86_64-with-glibc2.35",
85
+ "processor": "x86_64",
86
+ "python_version": "3.9.20",
87
+ "gpu": [
88
+ "NVIDIA A10G"
89
+ ],
90
+ "gpu_count": 1,
91
+ "gpu_vram_mb": 24146608128,
92
+ "optimum_benchmark_version": "0.2.0",
93
+ "optimum_benchmark_commit": null,
94
+ "transformers_version": "4.44.0",
95
+ "transformers_commit": null,
96
+ "accelerate_version": "0.33.0",
97
+ "accelerate_commit": null,
98
+ "diffusers_version": "0.30.0",
99
+ "diffusers_commit": null,
100
+ "optimum_version": null,
101
+ "optimum_commit": null,
102
+ "timm_version": null,
103
+ "timm_commit": null,
104
+ "peft_version": null,
105
+ "peft_commit": null
106
+ }
107
+ }
runs/text_classification/cardiffnlp/twitter-roberta-base-sentiment-latest/2024-10-07-21-01-02/preprocess_codecarbon.json ADDED
@@ -0,0 +1,33 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "timestamp": "2024-10-07T21:01:14",
3
+ "project_name": "codecarbon",
4
+ "run_id": "8e60eccc-3968-4a05-8156-5dc86327c842",
5
+ "duration": -1728031609.9282088,
6
+ "emissions": 4.682869127876532e-06,
7
+ "emissions_rate": 1.1495379560486976e-05,
8
+ "cpu_power": 42.5,
9
+ "gpu_power": 69.15775861545737,
10
+ "ram_power": 0.2738456726074219,
11
+ "cpu_energy": 4.833219672703612e-06,
12
+ "gpu_energy": 7.821950702258107e-06,
13
+ "ram_energy": 3.091200683858357e-08,
14
+ "energy_consumed": 1.2686082381800302e-05,
15
+ "country_name": "United States",
16
+ "country_iso_code": "USA",
17
+ "region": "virginia",
18
+ "cloud_provider": "",
19
+ "cloud_region": "",
20
+ "os": "Linux-5.10.192-183.736.amzn2.x86_64-x86_64-with-glibc2.35",
21
+ "python_version": "3.9.20",
22
+ "codecarbon_version": "2.5.1",
23
+ "cpu_count": 48,
24
+ "cpu_model": "AMD EPYC 7R32",
25
+ "gpu_count": 1,
26
+ "gpu_model": "1 x NVIDIA A10G",
27
+ "longitude": -77.4903,
28
+ "latitude": 39.0469,
29
+ "ram_total_size": 186.7047882080078,
30
+ "tracking_mode": "process",
31
+ "on_cloud": "N",
32
+ "pue": 1.0
33
+ }