Upload folder using huggingface_hub
Browse files- .hydra/config.yaml +96 -0
- .hydra/hydra.yaml +175 -0
- .hydra/overrides.yaml +2 -0
- cli.log +133 -0
- error.log +0 -0
- experiment_config.json +110 -0
- prefill_codecarbon.json +33 -0
- preprocess_codecarbon.json +33 -0
.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
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task: text-generation
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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'
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seed: 42
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inter_op_num_threads: null
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intra_op_num_threads: null
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hub_kwargs: {}
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no_weights: true
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device_map: null
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torch_dtype: null
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amp_autocast: false
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amp_dtype: null
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eval_mode: true
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to_bettertransformer: false
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low_cpu_mem_usage: null
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attn_implementation: null
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cache_implementation: null
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torch_compile: false
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torch_compile_config: {}
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quantization_scheme: null
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quantization_config: {}
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deepspeed_inference: false
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deepspeed_inference_config: {}
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peft_type: null
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peft_config: {}
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launcher:
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name: process
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_target_: optimum_benchmark.launchers.process.launcher.ProcessLauncher
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device_isolation: false
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device_isolation_action: warn
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start_method: spawn
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benchmark:
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name: energy_star
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_target_: optimum_benchmark.benchmarks.energy_star.benchmark.EnergyStarBenchmark
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dataset_name: EnergyStarAI/text_generation
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dataset_config: ''
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dataset_split: train
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num_samples: 1000
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input_shapes:
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batch_size: 1
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text_column_name: text
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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
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resize: false
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question_column_name: question
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context_column_name: context
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sentence1_column_name: sentence1
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sentence2_column_name: sentence2
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audio_column_name: audio
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iterations: 10
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warmup_runs: 10
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energy: true
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forward_kwargs: {}
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generate_kwargs:
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max_new_tokens: 10
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min_new_tokens: 10
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call_kwargs: {}
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experiment_name: text_generation
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environment:
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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
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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
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.hydra/hydra.yaml
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hydra:
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run:
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dir: ./runs/
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sweep:
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dir: sweeps/${experiment_name}/${backend.model}/${now:%Y-%m-%d-%H-%M-%S}
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6 |
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subdir: ${hydra.job.num}
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launcher:
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8 |
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_target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher
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9 |
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sweeper:
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10 |
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_target_: hydra._internal.core_plugins.basic_sweeper.BasicSweeper
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11 |
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max_batch_size: null
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12 |
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params: null
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help:
|
14 |
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app_name: ${hydra.job.name}
|
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header: '${hydra.help.app_name} is powered by Hydra.
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16 |
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17 |
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'
|
18 |
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footer: 'Powered by Hydra (https://hydra.cc)
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19 |
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20 |
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Use --hydra-help to view Hydra specific help
|
21 |
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|
22 |
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'
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template: '${hydra.help.header}
|
24 |
+
|
25 |
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== Configuration groups ==
|
26 |
+
|
27 |
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Compose your configuration from those groups (group=option)
|
28 |
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|
29 |
+
|
30 |
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$APP_CONFIG_GROUPS
|
31 |
+
|
32 |
+
|
33 |
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== Config ==
|
34 |
+
|
35 |
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Override anything in the config (foo.bar=value)
|
36 |
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|
37 |
+
|
38 |
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$CONFIG
|
39 |
+
|
40 |
+
|
41 |
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${hydra.help.footer}
|
42 |
+
|
43 |
+
'
|
44 |
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hydra_help:
|
45 |
+
template: 'Hydra (${hydra.runtime.version})
|
46 |
+
|
47 |
+
See https://hydra.cc for more info.
|
48 |
+
|
49 |
+
|
50 |
+
== Flags ==
|
51 |
+
|
52 |
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$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 |
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Use ''--cfg hydra'' to Show the Hydra config.
|
65 |
+
|
66 |
+
'
|
67 |
+
hydra_help: ???
|
68 |
+
hydra_logging:
|
69 |
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version: 1
|
70 |
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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 |
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stream: ext://sys.stdout
|
104 |
+
file:
|
105 |
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class: logging.FileHandler
|
106 |
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formatter: simple
|
107 |
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filename: ${hydra.job.name}.log
|
108 |
+
root:
|
109 |
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level: INFO
|
110 |
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handlers:
|
111 |
+
- console
|
112 |
+
- file
|
113 |
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disable_existing_loggers: false
|
114 |
+
env: {}
|
115 |
+
mode: RUN
|
116 |
+
searchpath: []
|
117 |
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callbacks: {}
|
118 |
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output_subdir: .hydra
|
119 |
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overrides:
|
120 |
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hydra:
|
121 |
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- hydra.run.dir=./runs/
|
122 |
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- hydra.mode=RUN
|
123 |
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task:
|
124 |
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- backend.model=cardiffnlp/twitter-roberta-base-sentiment-latest
|
125 |
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- backend.processor=cardiffnlp/twitter-roberta-base-sentiment-latest
|
126 |
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job:
|
127 |
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name: cli
|
128 |
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chdir: true
|
129 |
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override_dirname: backend.model=cardiffnlp/twitter-roberta-base-sentiment-latest,backend.processor=cardiffnlp/twitter-roberta-base-sentiment-latest
|
130 |
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id: ???
|
131 |
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num: ???
|
132 |
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config_name: text_generation
|
133 |
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env_set:
|
134 |
+
OVERRIDE_BENCHMARKS: '1'
|
135 |
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env_copy: []
|
136 |
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config:
|
137 |
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override_dirname:
|
138 |
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kv_sep: '='
|
139 |
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item_sep: ','
|
140 |
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exclude_keys: []
|
141 |
+
runtime:
|
142 |
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version: 1.3.2
|
143 |
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version_base: '1.3'
|
144 |
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cwd: /
|
145 |
+
config_sources:
|
146 |
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- path: hydra.conf
|
147 |
+
schema: pkg
|
148 |
+
provider: hydra
|
149 |
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- path: optimum_benchmark
|
150 |
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schema: pkg
|
151 |
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provider: main
|
152 |
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- path: hydra_plugins.hydra_colorlog.conf
|
153 |
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schema: pkg
|
154 |
+
provider: hydra-colorlog
|
155 |
+
- path: /optimum-benchmark/examples/energy_star
|
156 |
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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
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.hydra/overrides.yaml
ADDED
@@ -0,0 +1,2 @@
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- backend.model=cardiffnlp/twitter-roberta-base-sentiment-latest
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- backend.processor=cardiffnlp/twitter-roberta-base-sentiment-latest
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cli.log
CHANGED
@@ -0,0 +1,133 @@
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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
|
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+
[PROC-0][2024-10-07 18:20:19,452][energy][INFO] - + Saving codecarbon emission data to prefill_codecarbon.json
|
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+
[PROC-0][2024-10-07 18:20:19,452][energy_star][INFO] - + Prefill iteration 6/10
|
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+
[PROC-0][2024-10-07 18:20:29,437][energy][INFO] - + Saving codecarbon emission data to prefill_codecarbon.json
|
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+
[PROC-0][2024-10-07 18:20:29,437][energy_star][INFO] - + Prefill iteration 7/10
|
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+
[PROC-0][2024-10-07 18:20:39,386][energy][INFO] - + Saving codecarbon emission data to prefill_codecarbon.json
|
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+
[PROC-0][2024-10-07 18:20:39,387][energy_star][INFO] - + Prefill iteration 8/10
|
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+
[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
|
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+
[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
@@ -0,0 +1,110 @@
|
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|
1 |
+
{
|
2 |
+
"experiment_name": "text_generation",
|
3 |
+
"backend": {
|
4 |
+
"name": "pytorch",
|
5 |
+
"version": "2.4.0",
|
6 |
+
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
|
7 |
+
"task": "text-generation",
|
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": false,
|
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_generation",
|
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 |
+
"max_new_tokens": 10,
|
77 |
+
"min_new_tokens": 10
|
78 |
+
},
|
79 |
+
"call_kwargs": {}
|
80 |
+
},
|
81 |
+
"environment": {
|
82 |
+
"cpu": " AMD EPYC 7R32",
|
83 |
+
"cpu_count": 48,
|
84 |
+
"cpu_ram_mb": 200472.73984,
|
85 |
+
"system": "Linux",
|
86 |
+
"machine": "x86_64",
|
87 |
+
"platform": "Linux-5.10.192-183.736.amzn2.x86_64-x86_64-with-glibc2.35",
|
88 |
+
"processor": "x86_64",
|
89 |
+
"python_version": "3.9.20",
|
90 |
+
"gpu": [
|
91 |
+
"NVIDIA A10G"
|
92 |
+
],
|
93 |
+
"gpu_count": 1,
|
94 |
+
"gpu_vram_mb": 24146608128,
|
95 |
+
"optimum_benchmark_version": "0.2.0",
|
96 |
+
"optimum_benchmark_commit": null,
|
97 |
+
"transformers_version": "4.44.0",
|
98 |
+
"transformers_commit": null,
|
99 |
+
"accelerate_version": "0.33.0",
|
100 |
+
"accelerate_commit": null,
|
101 |
+
"diffusers_version": "0.30.0",
|
102 |
+
"diffusers_commit": null,
|
103 |
+
"optimum_version": null,
|
104 |
+
"optimum_commit": null,
|
105 |
+
"timm_version": null,
|
106 |
+
"timm_commit": null,
|
107 |
+
"peft_version": null,
|
108 |
+
"peft_commit": null
|
109 |
+
}
|
110 |
+
}
|
prefill_codecarbon.json
ADDED
@@ -0,0 +1,33 @@
|
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|
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|
1 |
+
{
|
2 |
+
"timestamp": "2024-10-07T18:23:02",
|
3 |
+
"project_name": "codecarbon",
|
4 |
+
"run_id": "7c0f3a34-f2fd-4b75-8053-9a1cffb59eae",
|
5 |
+
"duration": -1727837478.3184555,
|
6 |
+
"emissions": 0.00026070074881124044,
|
7 |
+
"emissions_rate": 2.6217457316204054e-05,
|
8 |
+
"cpu_power": 42.5,
|
9 |
+
"gpu_power": 212.8152305048379,
|
10 |
+
"ram_power": 0.3757052421569824,
|
11 |
+
"cpu_energy": 0.00011741468607312229,
|
12 |
+
"gpu_energy": 0.000587796581347888,
|
13 |
+
"ram_energy": 1.0376338623188836e-06,
|
14 |
+
"energy_consumed": 0.0007062489012833297,
|
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 |
+
}
|
preprocess_codecarbon.json
ADDED
@@ -0,0 +1,33 @@
|
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|
|
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|
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|
|
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|
|
|
|
|
1 |
+
{
|
2 |
+
"timestamp": "2024-10-07T18:21:22",
|
3 |
+
"project_name": "codecarbon",
|
4 |
+
"run_id": "7c0f3a34-f2fd-4b75-8053-9a1cffb59eae",
|
5 |
+
"duration": -1727837488.2322512,
|
6 |
+
"emissions": 1.4065464079452445e-07,
|
7 |
+
"emissions_rate": 4.680032608026597e-06,
|
8 |
+
"cpu_power": 42.5,
|
9 |
+
"gpu_power": 0.0,
|
10 |
+
"ram_power": 0.2622342109680176,
|
11 |
+
"cpu_energy": 3.789163760100362e-07,
|
12 |
+
"gpu_energy": 0.0,
|
13 |
+
"ram_energy": 2.122750170069354e-09,
|
14 |
+
"energy_consumed": 3.8103912618010555e-07,
|
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 |
+
}
|