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.hydra/config.yaml ADDED
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1
+ backend:
2
+ name: pytorch
3
+ version: 2.4.0
4
+ _target_: optimum_benchmark.backends.pytorch.backend.PyTorchBackend
5
+ task: text-generation
6
+ model: cardiffnlp/twitter-roberta-base-sentiment-latest
7
+ processor: cardiffnlp/twitter-roberta-base-sentiment-latest
8
+ library: null
9
+ device: cuda
10
+ 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
20
+ eval_mode: true
21
+ to_bettertransformer: false
22
+ low_cpu_mem_usage: null
23
+ attn_implementation: null
24
+ cache_implementation: null
25
+ torch_compile: false
26
+ torch_compile_config: {}
27
+ quantization_scheme: null
28
+ quantization_config: {}
29
+ deepspeed_inference: false
30
+ deepspeed_inference_config: {}
31
+ peft_type: null
32
+ peft_config: {}
33
+ launcher:
34
+ name: process
35
+ _target_: optimum_benchmark.launchers.process.launcher.ProcessLauncher
36
+ device_isolation: false
37
+ device_isolation_action: warn
38
+ start_method: spawn
39
+ benchmark:
40
+ name: energy_star
41
+ _target_: optimum_benchmark.benchmarks.energy_star.benchmark.EnergyStarBenchmark
42
+ dataset_name: EnergyStarAI/text_generation
43
+ dataset_config: ''
44
+ dataset_split: train
45
+ num_samples: 1000
46
+ input_shapes:
47
+ batch_size: 1
48
+ text_column_name: text
49
+ truncation: true
50
+ max_length: -1
51
+ dataset_prefix1: ''
52
+ dataset_prefix2: ''
53
+ t5_task: ''
54
+ image_column_name: image
55
+ resize: false
56
+ question_column_name: question
57
+ context_column_name: context
58
+ 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
+ max_new_tokens: 10
67
+ min_new_tokens: 10
68
+ call_kwargs: {}
69
+ experiment_name: text_generation
70
+ environment:
71
+ cpu: ' AMD EPYC 7R32'
72
+ cpu_count: 48
73
+ cpu_ram_mb: 200472.73984
74
+ system: Linux
75
+ machine: x86_64
76
+ platform: Linux-5.10.192-183.736.amzn2.x86_64-x86_64-with-glibc2.35
77
+ processor: x86_64
78
+ python_version: 3.9.20
79
+ gpu:
80
+ - NVIDIA A10G
81
+ gpu_count: 1
82
+ gpu_vram_mb: 24146608128
83
+ optimum_benchmark_version: 0.2.0
84
+ optimum_benchmark_commit: null
85
+ transformers_version: 4.44.0
86
+ transformers_commit: null
87
+ accelerate_version: 0.33.0
88
+ accelerate_commit: null
89
+ diffusers_version: 0.30.0
90
+ diffusers_commit: null
91
+ optimum_version: null
92
+ 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
.hydra/hydra.yaml ADDED
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1
+ hydra:
2
+ run:
3
+ dir: ./runs/
4
+ sweep:
5
+ dir: sweeps/${experiment_name}/${backend.model}/${now:%Y-%m-%d-%H-%M-%S}
6
+ subdir: ${hydra.job.num}
7
+ launcher:
8
+ _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher
9
+ sweeper:
10
+ _target_: hydra._internal.core_plugins.basic_sweeper.BasicSweeper
11
+ max_batch_size: null
12
+ params: null
13
+ help:
14
+ app_name: ${hydra.job.name}
15
+ header: '${hydra.help.app_name} is powered by Hydra.
16
+
17
+ '
18
+ footer: 'Powered by Hydra (https://hydra.cc)
19
+
20
+ Use --hydra-help to view Hydra specific help
21
+
22
+ '
23
+ template: '${hydra.help.header}
24
+
25
+ == Configuration groups ==
26
+
27
+ Compose your configuration from those groups (group=option)
28
+
29
+
30
+ $APP_CONFIG_GROUPS
31
+
32
+
33
+ == Config ==
34
+
35
+ Override anything in the config (foo.bar=value)
36
+
37
+
38
+ $CONFIG
39
+
40
+
41
+ ${hydra.help.footer}
42
+
43
+ '
44
+ hydra_help:
45
+ template: 'Hydra (${hydra.runtime.version})
46
+
47
+ See https://hydra.cc for more info.
48
+
49
+
50
+ == Flags ==
51
+
52
+ $FLAGS_HELP
53
+
54
+
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
70
+ formatters:
71
+ colorlog:
72
+ (): 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/
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_generation
133
+ env_set:
134
+ OVERRIDE_BENCHMARKS: '1'
135
+ env_copy: []
136
+ config:
137
+ override_dirname:
138
+ kv_sep: '='
139
+ item_sep: ','
140
+ exclude_keys: []
141
+ runtime:
142
+ version: 1.3.2
143
+ version_base: '1.3'
144
+ cwd: /
145
+ config_sources:
146
+ - path: hydra.conf
147
+ schema: pkg
148
+ provider: hydra
149
+ - path: optimum_benchmark
150
+ schema: pkg
151
+ provider: main
152
+ - 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
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
.hydra/overrides.yaml ADDED
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1
+ - backend.model=cardiffnlp/twitter-roberta-base-sentiment-latest
2
+ - backend.processor=cardiffnlp/twitter-roberta-base-sentiment-latest
cli.log CHANGED
@@ -0,0 +1,133 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ [2024-10-07 18:19:03,057][launcher][INFO] - ََAllocating process launcher
2
+ [2024-10-07 18:19:03,057][process][INFO] - + Setting multiprocessing start method to spawn.
3
+ [2024-10-07 18:19:03,072][device-isolation][INFO] - + Launched device(s) isolation process 178
4
+ [2024-10-07 18:19:03,072][device-isolation][INFO] - + Isolating device(s) [0]
5
+ [2024-10-07 18:19:03,078][process][INFO] - + Launched benchmark in isolated process 179.
6
+ [PROC-0][2024-10-07 18:19:05,709][datasets][INFO] - PyTorch version 2.4.0 available.
7
+ [PROC-0][2024-10-07 18:19:06,961][backend][INFO] - َAllocating pytorch backend
8
+ [PROC-0][2024-10-07 18:19:06,962][backend][INFO] - + Setting random seed to 42
9
+ [PROC-0][2024-10-07 18:19:07,843][pytorch][INFO] - + Using AutoModel class AutoModelForSequenceClassification
10
+ [PROC-0][2024-10-07 18:19:07,844][pytorch][INFO] - + Creating backend temporary directory
11
+ [PROC-0][2024-10-07 18:19:07,844][pytorch][INFO] - + Loading model with random weights
12
+ [PROC-0][2024-10-07 18:19:07,844][pytorch][INFO] - + Creating no weights model
13
+ [PROC-0][2024-10-07 18:19:07,844][pytorch][INFO] - + Creating no weights model directory
14
+ [PROC-0][2024-10-07 18:19:07,844][pytorch][INFO] - + Creating no weights model state dict
15
+ [PROC-0][2024-10-07 18:19:07,871][pytorch][INFO] - + Saving no weights model safetensors
16
+ [PROC-0][2024-10-07 18:19:07,872][pytorch][INFO] - + Saving no weights model pretrained config
17
+ [PROC-0][2024-10-07 18:19:07,872][pytorch][INFO] - + Loading no weights AutoModel
18
+ [PROC-0][2024-10-07 18:19:07,872][pytorch][INFO] - + Loading model directly on device: cuda
19
+ [PROC-0][2024-10-07 18:19:08,077][pytorch][INFO] - + Turning on model's eval mode
20
+ [PROC-0][2024-10-07 18:19:08,084][benchmark][INFO] - Allocating energy_star benchmark
21
+ [PROC-0][2024-10-07 18:19:08,084][energy_star][INFO] - + Loading raw dataset
22
+ [PROC-0][2024-10-07 18:19:08,967][energy_star][INFO] - + Initializing Inference report
23
+ [PROC-0][2024-10-07 18:19:08,968][energy][INFO] - + Tracking GPU energy on devices [0]
24
+ [PROC-0][2024-10-07 18:19:13,187][energy_star][INFO] - + Preprocessing dataset
25
+ [PROC-0][2024-10-07 18:19:13,598][energy][INFO] - + Saving codecarbon emission data to preprocess_codecarbon.json
26
+ [PROC-0][2024-10-07 18:19:13,598][energy_star][INFO] - + Preparing backend for Inference
27
+ [PROC-0][2024-10-07 18:19:13,598][energy_star][INFO] - + Initialising dataloader
28
+ [PROC-0][2024-10-07 18:19:13,598][energy_star][INFO] - + Warming up backend for Inference
29
+ [PROC-0][2024-10-07 18:19:14,207][energy_star][INFO] - + Running Inference energy tracking for 10 iterations
30
+ [PROC-0][2024-10-07 18:19:14,208][energy_star][INFO] - + Iteration 1/10
31
+ [2024-10-07 18:19:15,147][experiment][ERROR] - Error during experiment
32
+ [2024-10-07 18:19:18,425][launcher][INFO] - ََAllocating process launcher
33
+ [2024-10-07 18:19:18,425][process][INFO] - + Setting multiprocessing start method to spawn.
34
+ [2024-10-07 18:19:18,439][process][INFO] - + Launched benchmark in isolated process 423.
35
+ [PROC-0][2024-10-07 18:19:21,034][datasets][INFO] - PyTorch version 2.4.0 available.
36
+ [PROC-0][2024-10-07 18:19:21,939][backend][INFO] - َAllocating pytorch backend
37
+ [PROC-0][2024-10-07 18:19:21,940][backend][INFO] - + Setting random seed to 42
38
+ [PROC-0][2024-10-07 18:19:22,505][pytorch][INFO] - + Using AutoModel class AutoModelForCausalLM
39
+ [PROC-0][2024-10-07 18:19:22,505][pytorch][INFO] - + Creating backend temporary directory
40
+ [PROC-0][2024-10-07 18:19:22,505][pytorch][INFO] - + Loading model with random weights
41
+ [PROC-0][2024-10-07 18:19:22,505][pytorch][INFO] - + Creating no weights model
42
+ [PROC-0][2024-10-07 18:19:22,505][pytorch][INFO] - + Creating no weights model directory
43
+ [PROC-0][2024-10-07 18:19:22,505][pytorch][INFO] - + Creating no weights model state dict
44
+ [PROC-0][2024-10-07 18:19:22,527][pytorch][INFO] - + Saving no weights model safetensors
45
+ [PROC-0][2024-10-07 18:19:22,528][pytorch][INFO] - + Saving no weights model pretrained config
46
+ [PROC-0][2024-10-07 18:19:22,529][pytorch][INFO] - + Loading no weights AutoModel
47
+ [PROC-0][2024-10-07 18:19:22,529][pytorch][INFO] - + Loading model directly on device: cuda
48
+ [PROC-0][2024-10-07 18:19:22,697][pytorch][INFO] - + Turning on model's eval mode
49
+ [PROC-0][2024-10-07 18:19:22,703][benchmark][INFO] - Allocating energy_star benchmark
50
+ [PROC-0][2024-10-07 18:19:22,703][energy_star][INFO] - + Loading raw dataset
51
+ [PROC-0][2024-10-07 18:19:23,663][energy_star][INFO] - + Updating Text Generation kwargs with default values
52
+ [PROC-0][2024-10-07 18:19:23,663][energy_star][INFO] - + Initializing Text Generation report
53
+ [PROC-0][2024-10-07 18:19:23,663][energy][INFO] - + Tracking GPU energy on devices [0]
54
+ [PROC-0][2024-10-07 18:19:27,873][energy_star][INFO] - + Preprocessing dataset
55
+ [PROC-0][2024-10-07 18:19:28,795][energy][INFO] - + Saving codecarbon emission data to preprocess_codecarbon.json
56
+ [PROC-0][2024-10-07 18:19:28,796][energy_star][INFO] - + Preparing backend for Inference
57
+ [PROC-0][2024-10-07 18:19:28,796][energy_star][INFO] - + Initialising dataloader
58
+ [PROC-0][2024-10-07 18:19:28,796][energy_star][INFO] - + Warming up backend for Inference
59
+ [PROC-0][2024-10-07 18:19:29,524][energy_star][INFO] - + Additional warmup for Text Generation
60
+ [PROC-0][2024-10-07 18:19:29,607][energy_star][INFO] - + Running Text Generation energy tracking for 10 iterations
61
+ [PROC-0][2024-10-07 18:19:29,607][energy_star][INFO] - + Prefill iteration 1/10
62
+ [PROC-0][2024-10-07 18:19:39,586][energy][INFO] - + Saving codecarbon emission data to prefill_codecarbon.json
63
+ [PROC-0][2024-10-07 18:19:39,587][energy_star][INFO] - + Prefill iteration 2/10
64
+ [PROC-0][2024-10-07 18:19:49,515][energy][INFO] - + Saving codecarbon emission data to prefill_codecarbon.json
65
+ [PROC-0][2024-10-07 18:19:49,515][energy_star][INFO] - + Prefill iteration 3/10
66
+ [PROC-0][2024-10-07 18:19:59,491][energy][INFO] - + Saving codecarbon emission data to prefill_codecarbon.json
67
+ [PROC-0][2024-10-07 18:19:59,491][energy_star][INFO] - + Prefill iteration 4/10
68
+ [PROC-0][2024-10-07 18:20:09,475][energy][INFO] - + Saving codecarbon emission data to prefill_codecarbon.json
69
+ [PROC-0][2024-10-07 18:20:09,476][energy_star][INFO] - + Prefill iteration 5/10
70
+ [PROC-0][2024-10-07 18:20:19,452][energy][INFO] - + Saving codecarbon emission data to prefill_codecarbon.json
71
+ [PROC-0][2024-10-07 18:20:19,452][energy_star][INFO] - + Prefill iteration 6/10
72
+ [PROC-0][2024-10-07 18:20:29,437][energy][INFO] - + Saving codecarbon emission data to prefill_codecarbon.json
73
+ [PROC-0][2024-10-07 18:20:29,437][energy_star][INFO] - + Prefill iteration 7/10
74
+ [PROC-0][2024-10-07 18:20:39,386][energy][INFO] - + Saving codecarbon emission data to prefill_codecarbon.json
75
+ [PROC-0][2024-10-07 18:20:39,387][energy_star][INFO] - + Prefill iteration 8/10
76
+ [PROC-0][2024-10-07 18:20:49,329][energy][INFO] - + Saving codecarbon emission data to prefill_codecarbon.json
77
+ [PROC-0][2024-10-07 18:20:49,329][energy_star][INFO] - + Prefill iteration 9/10
78
+ [PROC-0][2024-10-07 18:20:59,249][energy][INFO] - + Saving codecarbon emission data to prefill_codecarbon.json
79
+ [PROC-0][2024-10-07 18:20:59,250][energy_star][INFO] - + Prefill iteration 10/10
80
+ [PROC-0][2024-10-07 18:21:09,177][energy][INFO] - + Saving codecarbon emission data to prefill_codecarbon.json
81
+ [PROC-0][2024-10-07 18:21:09,177][energy_star][INFO] - + Decoding iteration 1/10
82
+ [2024-10-07 18:21:10,260][experiment][ERROR] - Error during experiment
83
+ [2024-10-07 18:21:13,524][launcher][INFO] - ََAllocating process launcher
84
+ [2024-10-07 18:21:13,524][process][INFO] - + Setting multiprocessing start method to spawn.
85
+ [2024-10-07 18:21:13,538][process][INFO] - + Launched benchmark in isolated process 608.
86
+ [PROC-0][2024-10-07 18:21:16,135][datasets][INFO] - PyTorch version 2.4.0 available.
87
+ [PROC-0][2024-10-07 18:21:17,043][backend][INFO] - َAllocating pytorch backend
88
+ [PROC-0][2024-10-07 18:21:17,043][backend][INFO] - + Setting random seed to 42
89
+ [PROC-0][2024-10-07 18:21:17,540][pytorch][INFO] - + Using AutoModel class AutoModelForCausalLM
90
+ [PROC-0][2024-10-07 18:21:17,541][pytorch][INFO] - + Creating backend temporary directory
91
+ [PROC-0][2024-10-07 18:21:17,541][pytorch][INFO] - + Loading model with random weights
92
+ [PROC-0][2024-10-07 18:21:17,541][pytorch][INFO] - + Creating no weights model
93
+ [PROC-0][2024-10-07 18:21:17,541][pytorch][INFO] - + Creating no weights model directory
94
+ [PROC-0][2024-10-07 18:21:17,541][pytorch][INFO] - + Creating no weights model state dict
95
+ [PROC-0][2024-10-07 18:21:17,563][pytorch][INFO] - + Saving no weights model safetensors
96
+ [PROC-0][2024-10-07 18:21:17,564][pytorch][INFO] - + Saving no weights model pretrained config
97
+ [PROC-0][2024-10-07 18:21:17,565][pytorch][INFO] - + Loading no weights AutoModel
98
+ [PROC-0][2024-10-07 18:21:17,565][pytorch][INFO] - + Loading model directly on device: cuda
99
+ [PROC-0][2024-10-07 18:21:17,725][pytorch][INFO] - + Turning on model's eval mode
100
+ [PROC-0][2024-10-07 18:21:17,731][benchmark][INFO] - Allocating energy_star benchmark
101
+ [PROC-0][2024-10-07 18:21:17,732][energy_star][INFO] - + Loading raw dataset
102
+ [PROC-0][2024-10-07 18:21:18,176][energy_star][INFO] - + Updating Text Generation kwargs with default values
103
+ [PROC-0][2024-10-07 18:21:18,176][energy_star][INFO] - + Initializing Text Generation report
104
+ [PROC-0][2024-10-07 18:21:18,176][energy][INFO] - + Tracking GPU energy on devices [0]
105
+ [PROC-0][2024-10-07 18:21:22,361][energy_star][INFO] - + Preprocessing dataset
106
+ [PROC-0][2024-10-07 18:21:22,394][energy][INFO] - + Saving codecarbon emission data to preprocess_codecarbon.json
107
+ [PROC-0][2024-10-07 18:21:22,394][energy_star][INFO] - + Preparing backend for Inference
108
+ [PROC-0][2024-10-07 18:21:22,394][energy_star][INFO] - + Initialising dataloader
109
+ [PROC-0][2024-10-07 18:21:22,395][energy_star][INFO] - + Warming up backend for Inference
110
+ [PROC-0][2024-10-07 18:21:23,134][energy_star][INFO] - + Additional warmup for Text Generation
111
+ [PROC-0][2024-10-07 18:21:23,217][energy_star][INFO] - + Running Text Generation energy tracking for 10 iterations
112
+ [PROC-0][2024-10-07 18:21:23,217][energy_star][INFO] - + Prefill iteration 1/10
113
+ [PROC-0][2024-10-07 18:21:33,219][energy][INFO] - + Saving codecarbon emission data to prefill_codecarbon.json
114
+ [PROC-0][2024-10-07 18:21:33,219][energy_star][INFO] - + Prefill iteration 2/10
115
+ [PROC-0][2024-10-07 18:21:43,173][energy][INFO] - + Saving codecarbon emission data to prefill_codecarbon.json
116
+ [PROC-0][2024-10-07 18:21:43,174][energy_star][INFO] - + Prefill iteration 3/10
117
+ [PROC-0][2024-10-07 18:21:53,105][energy][INFO] - + Saving codecarbon emission data to prefill_codecarbon.json
118
+ [PROC-0][2024-10-07 18:21:53,106][energy_star][INFO] - + Prefill iteration 4/10
119
+ [PROC-0][2024-10-07 18:22:03,003][energy][INFO] - + Saving codecarbon emission data to prefill_codecarbon.json
120
+ [PROC-0][2024-10-07 18:22:03,003][energy_star][INFO] - + Prefill iteration 5/10
121
+ [PROC-0][2024-10-07 18:22:12,906][energy][INFO] - + Saving codecarbon emission data to prefill_codecarbon.json
122
+ [PROC-0][2024-10-07 18:22:12,906][energy_star][INFO] - + Prefill iteration 6/10
123
+ [PROC-0][2024-10-07 18:22:22,796][energy][INFO] - + Saving codecarbon emission data to prefill_codecarbon.json
124
+ [PROC-0][2024-10-07 18:22:22,796][energy_star][INFO] - + Prefill iteration 7/10
125
+ [PROC-0][2024-10-07 18:22:32,699][energy][INFO] - + Saving codecarbon emission data to prefill_codecarbon.json
126
+ [PROC-0][2024-10-07 18:22:32,700][energy_star][INFO] - + Prefill iteration 8/10
127
+ [PROC-0][2024-10-07 18:22:42,667][energy][INFO] - + Saving codecarbon emission data to prefill_codecarbon.json
128
+ [PROC-0][2024-10-07 18:22:42,667][energy_star][INFO] - + Prefill iteration 9/10
129
+ [PROC-0][2024-10-07 18:22:52,604][energy][INFO] - + Saving codecarbon emission data to prefill_codecarbon.json
130
+ [PROC-0][2024-10-07 18:22:52,604][energy_star][INFO] - + Prefill iteration 10/10
131
+ [PROC-0][2024-10-07 18:23:02,551][energy][INFO] - + Saving codecarbon emission data to prefill_codecarbon.json
132
+ [PROC-0][2024-10-07 18:23:02,551][energy_star][INFO] - + Decoding iteration 1/10
133
+ [2024-10-07 18:23:03,646][experiment][ERROR] - Error during experiment
error.log ADDED
The diff for this file is too large to render. See raw diff
 
experiment_config.json ADDED
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