diff --git a/EnergyStarAI/requests_debug/lvwerra/distilbert-imdb_eval_request_float16_Original.json b/EnergyStarAI/requests_debug/lvwerra/distilbert-imdb_eval_request_float16_Original.json deleted file mode 100644 index 95a7ccee6976876753d38f18f3bc8ba781bbb6b8..0000000000000000000000000000000000000000 --- a/EnergyStarAI/requests_debug/lvwerra/distilbert-imdb_eval_request_float16_Original.json +++ /dev/null @@ -1 +0,0 @@ -{"model": "lvwerra/distilbert-imdb", "revision": "main", "precision": "float16", "weight_type": "Original", "status": "PENDING", "submitted_time": "2024-10-01T15:40:51Z", "model_type": "\ud83d\udfe2 : pretrained", "likes": 20, "params": 0} \ No newline at end of file diff --git a/lvwerra/distilbert-imdb_eval_request_float16_Original.json b/lvwerra/distilbert-imdb_eval_request_float16_Original.json deleted file mode 100644 index d79abfed98b7641cf2b9af4609883b7e19b9b3df..0000000000000000000000000000000000000000 --- a/lvwerra/distilbert-imdb_eval_request_float16_Original.json +++ /dev/null @@ -1 +0,0 @@ -{"model": "lvwerra/distilbert-imdb", "revision": "main", "precision": "float16", "weight_type": "Original", "status": "PENDING", "submitted_time": "2024-10-01T18:55:12Z", "model_type": "\ud83d\udfe2 : pretrained", "likes": 20, "params": 0} \ No newline at end of file diff --git a/text_classification/lvwerra/distilbert-imdb/2024-10-01-19-02-39/.hydra/config.yaml b/text_classification/lvwerra/distilbert-imdb/2024-10-01-19-02-39/.hydra/config.yaml deleted file mode 100644 index ca9c7622983c00dc182a28ef5197b99186dbcca4..0000000000000000000000000000000000000000 --- a/text_classification/lvwerra/distilbert-imdb/2024-10-01-19-02-39/.hydra/config.yaml +++ /dev/null @@ -1,94 +0,0 @@ -backend: - name: pytorch - version: 2.4.0 - _target_: optimum_benchmark.backends.pytorch.backend.PyTorchBackend - task: text-classification - model: lvwerra/distilbert-imdb - processor: lvwerra/distilbert-imdb - library: null - device: cuda - device_ids: '0' - seed: 42 - inter_op_num_threads: null - intra_op_num_threads: null - hub_kwargs: {} - no_weights: true - device_map: null - torch_dtype: null - amp_autocast: false - amp_dtype: null - eval_mode: true - to_bettertransformer: false - low_cpu_mem_usage: null - attn_implementation: null - cache_implementation: null - torch_compile: false - torch_compile_config: {} - quantization_scheme: null - quantization_config: {} - deepspeed_inference: false - deepspeed_inference_config: {} - peft_type: null - peft_config: {} -launcher: - name: process - _target_: optimum_benchmark.launchers.process.launcher.ProcessLauncher - device_isolation: true - device_isolation_action: warn - start_method: spawn -benchmark: - name: energy_star - _target_: optimum_benchmark.benchmarks.energy_star.benchmark.EnergyStarBenchmark - dataset_name: EnergyStarAI/text_classification - dataset_config: '' - dataset_split: train - num_samples: 1000 - input_shapes: - batch_size: 1 - text_column_name: text - truncation: true - max_length: -1 - dataset_prefix1: '' - dataset_prefix2: '' - t5_task: '' - image_column_name: image - resize: false - question_column_name: question - context_column_name: context - sentence1_column_name: sentence1 - sentence2_column_name: sentence2 - audio_column_name: audio - iterations: 10 - warmup_runs: 10 - energy: true - forward_kwargs: {} - generate_kwargs: {} - call_kwargs: {} -experiment_name: text_classification -environment: - cpu: ' AMD EPYC 7R32' - cpu_count: 48 - cpu_ram_mb: 200472.73984 - system: Linux - machine: x86_64 - platform: Linux-5.10.192-183.736.amzn2.x86_64-x86_64-with-glibc2.35 - processor: x86_64 - python_version: 3.9.20 - gpu: - - NVIDIA A10G - gpu_count: 1 - gpu_vram_mb: 24146608128 - optimum_benchmark_version: 0.2.0 - optimum_benchmark_commit: null - transformers_version: 4.44.0 - transformers_commit: null - accelerate_version: 0.33.0 - accelerate_commit: null - diffusers_version: 0.30.0 - diffusers_commit: null - optimum_version: null - optimum_commit: null - timm_version: null - timm_commit: null - peft_version: null - peft_commit: null diff --git a/text_classification/lvwerra/distilbert-imdb/2024-10-01-19-02-39/.hydra/hydra.yaml b/text_classification/lvwerra/distilbert-imdb/2024-10-01-19-02-39/.hydra/hydra.yaml deleted file mode 100644 index a9b387d70e4b577da55623bb0b4dbcd654f799be..0000000000000000000000000000000000000000 --- a/text_classification/lvwerra/distilbert-imdb/2024-10-01-19-02-39/.hydra/hydra.yaml +++ /dev/null @@ -1,173 +0,0 @@ -hydra: - run: - dir: /data/runs/${experiment_name}/${backend.model}/${now:%Y-%m-%d-%H-%M-%S} - sweep: - dir: sweeps/${experiment_name}/${now:%Y-%m-%d-%H-%M-%S} - subdir: ${hydra.job.num} - launcher: - _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher - sweeper: - _target_: hydra._internal.core_plugins.basic_sweeper.BasicSweeper - max_batch_size: null - params: null - help: - app_name: ${hydra.job.name} - header: '${hydra.help.app_name} is powered by Hydra. - - ' - footer: 'Powered by Hydra (https://hydra.cc) - - Use --hydra-help to view Hydra specific help - - ' - template: '${hydra.help.header} - - == Configuration groups == - - Compose your configuration from those groups (group=option) - - - $APP_CONFIG_GROUPS - - - == Config == - - Override anything in the config (foo.bar=value) - - - $CONFIG - - - ${hydra.help.footer} - - ' - hydra_help: - template: 'Hydra (${hydra.runtime.version}) - - See https://hydra.cc for more info. - - - == Flags == - - $FLAGS_HELP - - - == Configuration groups == - - Compose your configuration from those groups (For example, append hydra/job_logging=disabled - to command line) - - - $HYDRA_CONFIG_GROUPS - - - Use ''--cfg hydra'' to Show the Hydra config. - - ' - hydra_help: ??? - hydra_logging: - version: 1 - formatters: - colorlog: - (): colorlog.ColoredFormatter - format: '[%(cyan)s%(asctime)s%(reset)s][%(purple)sHYDRA%(reset)s] %(message)s' - 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- hydra.mode=RUN - task: [] - job: - name: cli - chdir: true - override_dirname: '' - id: ??? - num: ??? - config_name: text_classification - env_set: - OVERRIDE_BENCHMARKS: '1' - env_copy: [] - config: - override_dirname: - kv_sep: '=' - item_sep: ',' - exclude_keys: [] - runtime: - version: 1.3.2 - version_base: '1.3' - cwd: / - config_sources: - - path: hydra.conf - schema: pkg - provider: hydra - - path: optimum_benchmark - schema: pkg - provider: main - - path: hydra_plugins.hydra_colorlog.conf - schema: pkg - provider: hydra-colorlog - - path: /optimum-benchmark/examples/energy_star - schema: file - provider: command-line - - path: '' - schema: structured - provider: schema - output_dir: /data/runs/text_classification/lvwerra/distilbert-imdb/2024-10-01-19-02-39 - choices: - benchmark: energy_star - launcher: process - backend: pytorch - hydra/env: default - hydra/callbacks: null - hydra/job_logging: colorlog - hydra/hydra_logging: colorlog - hydra/hydra_help: default - hydra/help: default - hydra/sweeper: basic - hydra/launcher: basic - hydra/output: default - verbose: false diff --git a/text_classification/lvwerra/distilbert-imdb/2024-10-01-19-02-39/.hydra/overrides.yaml b/text_classification/lvwerra/distilbert-imdb/2024-10-01-19-02-39/.hydra/overrides.yaml deleted file mode 100644 index fe51488c7066f6687ef680d6bfaa4f7768ef205c..0000000000000000000000000000000000000000 --- a/text_classification/lvwerra/distilbert-imdb/2024-10-01-19-02-39/.hydra/overrides.yaml +++ /dev/null @@ -1 +0,0 @@ -[] diff --git a/text_classification/lvwerra/distilbert-imdb/2024-10-01-19-02-39/benchmark_report.json b/text_classification/lvwerra/distilbert-imdb/2024-10-01-19-02-39/benchmark_report.json deleted file mode 100644 index da8c3fb06247799a5049da419bc4972959938eef..0000000000000000000000000000000000000000 --- a/text_classification/lvwerra/distilbert-imdb/2024-10-01-19-02-39/benchmark_report.json +++ /dev/null @@ -1,107 +0,0 @@ -{ - "forward": { - "memory": null, - "latency": null, - "throughput": null, - 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"efficiency": { - "unit": "samples/kWh", - "value": 79429823.95232044 - }, - "measures": null - } -} \ No newline at end of file diff --git a/text_classification/lvwerra/distilbert-imdb/2024-10-01-19-02-39/cli.log b/text_classification/lvwerra/distilbert-imdb/2024-10-01-19-02-39/cli.log deleted file mode 100644 index d979f7814a386643d7eef55e9b88275a3c283fdc..0000000000000000000000000000000000000000 --- a/text_classification/lvwerra/distilbert-imdb/2024-10-01-19-02-39/cli.log +++ /dev/null @@ -1,113 +0,0 @@ -[2024-10-01 19:02:39,712][launcher][INFO] - ََAllocating process launcher -[2024-10-01 19:02:39,712][process][INFO] - + Setting multiprocessing start method to spawn. -[2024-10-01 19:02:39,725][device-isolation][INFO] - + Launched device(s) isolation process 66 -[2024-10-01 19:02:39,726][device-isolation][INFO] - + Isolating device(s) [0] -[2024-10-01 19:02:39,732][process][INFO] - + Launched benchmark in isolated process 67. -[PROC-0][2024-10-01 19:02:42,331][datasets][INFO] - PyTorch version 2.4.0 available. -[PROC-0][2024-10-01 19:02:43,278][backend][INFO] - َAllocating pytorch backend -[PROC-0][2024-10-01 19:02:43,278][backend][INFO] - + Setting random seed to 42 -[PROC-0][2024-10-01 19:02:43,590][pytorch][INFO] - + Using AutoModel class AutoModelForSequenceClassification -[PROC-0][2024-10-01 19:02:43,591][pytorch][INFO] - + Creating backend temporary directory -[PROC-0][2024-10-01 19:02:43,591][pytorch][INFO] - + Loading model with random weights -[PROC-0][2024-10-01 19:02:43,591][pytorch][INFO] - + Creating no weights model -[PROC-0][2024-10-01 19:02:43,591][pytorch][INFO] - + Creating no weights model directory -[PROC-0][2024-10-01 19:02:43,591][pytorch][INFO] - + Creating no weights model state dict -[PROC-0][2024-10-01 19:02:43,593][pytorch][INFO] - + Saving no weights model safetensors -[PROC-0][2024-10-01 19:02:43,594][pytorch][INFO] - + Saving no weights model pretrained config -[PROC-0][2024-10-01 19:02:43,595][pytorch][INFO] - + Loading no weights AutoModel -[PROC-0][2024-10-01 19:02:43,595][pytorch][INFO] - + Loading model directly on device: cuda -[PROC-0][2024-10-01 19:02:43,896][pytorch][INFO] - + Turning on model's eval mode -[PROC-0][2024-10-01 19:02:43,902][benchmark][INFO] - Allocating energy_star benchmark -[PROC-0][2024-10-01 19:02:43,902][energy_star][INFO] - + Loading raw dataset -[PROC-0][2024-10-01 19:02:44,447][energy_star][INFO] - + Initializing Inference report -[PROC-0][2024-10-01 19:02:44,448][energy][INFO] - + Tracking GPU energy on devices [0] -[PROC-0][2024-10-01 19:02:48,663][energy_star][INFO] - + Preprocessing dataset -[PROC-0][2024-10-01 19:02:49,098][energy][INFO] - + Saving codecarbon emission data to preprocess_codecarbon.json -[PROC-0][2024-10-01 19:02:49,100][energy_star][INFO] - + Preparing backend for Inference -[PROC-0][2024-10-01 19:02:49,100][energy_star][INFO] - + Initialising dataloader -[PROC-0][2024-10-01 19:02:49,100][energy_star][INFO] - + Warming up backend for Inference -[PROC-0][2024-10-01 19:02:49,663][energy_star][INFO] - + Running Inference energy tracking for 10 iterations -[PROC-0][2024-10-01 19:02:49,663][energy_star][INFO] - + Iteration 1/10 -[PROC-0][2024-10-01 19:02:53,729][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json -[PROC-0][2024-10-01 19:02:53,731][energy_star][INFO] - + Iteration 2/10 -[PROC-0][2024-10-01 19:02:57,781][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json -[PROC-0][2024-10-01 19:02:57,784][energy_star][INFO] - + Iteration 3/10 -[PROC-0][2024-10-01 19:03:01,819][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json -[PROC-0][2024-10-01 19:03:01,821][energy_star][INFO] - + Iteration 4/10 -[PROC-0][2024-10-01 19:03:05,936][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json -[PROC-0][2024-10-01 19:03:05,938][energy_star][INFO] - + Iteration 5/10 -[PROC-0][2024-10-01 19:03:10,054][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json -[PROC-0][2024-10-01 19:03:10,057][energy_star][INFO] - + Iteration 6/10 -[PROC-0][2024-10-01 19:03:14,093][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json -[PROC-0][2024-10-01 19:03:14,095][energy_star][INFO] - + Iteration 7/10 -[PROC-0][2024-10-01 19:03:18,137][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json -[PROC-0][2024-10-01 19:03:18,139][energy_star][INFO] - + Iteration 8/10 -[PROC-0][2024-10-01 19:03:22,181][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json -[PROC-0][2024-10-01 19:03:22,183][energy_star][INFO] - + Iteration 9/10 -[PROC-0][2024-10-01 19:03:26,190][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json -[PROC-0][2024-10-01 19:03:26,192][energy_star][INFO] - + Iteration 10/10 -[PROC-0][2024-10-01 19:03:30,198][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json -[PROC-0][2024-10-01 19:03:30,200][energy][INFO] - + forward energy consumption: -[PROC-0][2024-10-01 19:03:30,200][energy][INFO] - + CPU: 0.000043 (kWh) -[PROC-0][2024-10-01 19:03:30,201][energy][INFO] - + GPU: 0.000167 (kWh) -[PROC-0][2024-10-01 19:03:30,201][energy][INFO] - + RAM: 0.000000 (kWh) -[PROC-0][2024-10-01 19:03:30,201][energy][INFO] - + total: 0.000210 (kWh) -[PROC-0][2024-10-01 19:03:30,201][energy][INFO] - + forward_iteration_1 energy consumption: -[PROC-0][2024-10-01 19:03:30,201][energy][INFO] - + CPU: 0.000048 (kWh) -[PROC-0][2024-10-01 19:03:30,201][energy][INFO] - + GPU: 0.000184 (kWh) -[PROC-0][2024-10-01 19:03:30,201][energy][INFO] - + RAM: 0.000000 (kWh) -[PROC-0][2024-10-01 19:03:30,201][energy][INFO] - + total: 0.000233 (kWh) -[PROC-0][2024-10-01 19:03:30,201][energy][INFO] - + forward_iteration_2 energy consumption: -[PROC-0][2024-10-01 19:03:30,201][energy][INFO] - + CPU: 0.000048 (kWh) -[PROC-0][2024-10-01 19:03:30,201][energy][INFO] - + GPU: 0.000181 (kWh) -[PROC-0][2024-10-01 19:03:30,202][energy][INFO] - + RAM: 0.000000 (kWh) -[PROC-0][2024-10-01 19:03:30,202][energy][INFO] - + total: 0.000230 (kWh) -[PROC-0][2024-10-01 19:03:30,202][energy][INFO] - + forward_iteration_3 energy consumption: -[PROC-0][2024-10-01 19:03:30,202][energy][INFO] - + CPU: 0.000048 (kWh) -[PROC-0][2024-10-01 19:03:30,202][energy][INFO] - 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+ CPU: 0.000048 (kWh) -[PROC-0][2024-10-01 19:03:30,203][energy][INFO] - + GPU: 0.000185 (kWh) -[PROC-0][2024-10-01 19:03:30,203][energy][INFO] - + RAM: 0.000000 (kWh) -[PROC-0][2024-10-01 19:03:30,203][energy][INFO] - + total: 0.000233 (kWh) -[PROC-0][2024-10-01 19:03:30,203][energy][INFO] - + forward_iteration_7 energy consumption: -[PROC-0][2024-10-01 19:03:30,203][energy][INFO] - + CPU: 0.000000 (kWh) -[PROC-0][2024-10-01 19:03:30,203][energy][INFO] - + GPU: 0.000000 (kWh) -[PROC-0][2024-10-01 19:03:30,204][energy][INFO] - + RAM: 0.000000 (kWh) -[PROC-0][2024-10-01 19:03:30,204][energy][INFO] - + total: 0.000000 (kWh) -[PROC-0][2024-10-01 19:03:30,204][energy][INFO] - + forward_iteration_8 energy consumption: -[PROC-0][2024-10-01 19:03:30,204][energy][INFO] - + CPU: 0.000048 (kWh) -[PROC-0][2024-10-01 19:03:30,204][energy][INFO] - + GPU: 0.000186 (kWh) -[PROC-0][2024-10-01 19:03:30,204][energy][INFO] - + RAM: 0.000000 (kWh) -[PROC-0][2024-10-01 19:03:30,204][energy][INFO] - + total: 0.000234 (kWh) -[PROC-0][2024-10-01 19:03:30,204][energy][INFO] - + forward_iteration_9 energy consumption: -[PROC-0][2024-10-01 19:03:30,204][energy][INFO] - + CPU: 0.000047 (kWh) -[PROC-0][2024-10-01 19:03:30,204][energy][INFO] - + GPU: 0.000188 (kWh) -[PROC-0][2024-10-01 19:03:30,204][energy][INFO] - + RAM: 0.000000 (kWh) -[PROC-0][2024-10-01 19:03:30,204][energy][INFO] - + total: 0.000235 (kWh) -[PROC-0][2024-10-01 19:03:30,205][energy][INFO] - + forward_iteration_10 energy consumption: -[PROC-0][2024-10-01 19:03:30,205][energy][INFO] - + CPU: 0.000047 (kWh) -[PROC-0][2024-10-01 19:03:30,205][energy][INFO] - + GPU: 0.000186 (kWh) -[PROC-0][2024-10-01 19:03:30,205][energy][INFO] - + RAM: 0.000000 (kWh) -[PROC-0][2024-10-01 19:03:30,205][energy][INFO] - + total: 0.000234 (kWh) -[PROC-0][2024-10-01 19:03:30,205][energy][INFO] - + preprocess energy consumption: -[PROC-0][2024-10-01 19:03:30,205][energy][INFO] - + CPU: 0.000005 (kWh) -[PROC-0][2024-10-01 19:03:30,205][energy][INFO] - + GPU: 0.000007 (kWh) -[PROC-0][2024-10-01 19:03:30,205][energy][INFO] - + RAM: 0.000000 (kWh) -[PROC-0][2024-10-01 19:03:30,205][energy][INFO] - + total: 0.000013 (kWh) -[PROC-0][2024-10-01 19:03:30,206][energy][INFO] - + forward energy efficiency: 4753317.121386 (samples/kWh) -[PROC-0][2024-10-01 19:03:30,206][energy][INFO] - + preprocess energy efficiency: 79429823.952320 (samples/kWh) -[2024-10-01 19:03:30,837][device-isolation][INFO] - + Closing device(s) isolation process... -[2024-10-01 19:03:30,891][datasets][INFO] - PyTorch version 2.4.0 available. diff --git a/text_classification/lvwerra/distilbert-imdb/2024-10-01-19-02-39/experiment_config.json b/text_classification/lvwerra/distilbert-imdb/2024-10-01-19-02-39/experiment_config.json deleted file mode 100644 index 772aa352d839018f6caa9107fd24acf54618c6aa..0000000000000000000000000000000000000000 --- a/text_classification/lvwerra/distilbert-imdb/2024-10-01-19-02-39/experiment_config.json +++ /dev/null @@ -1,107 +0,0 @@ -{ - "experiment_name": "text_classification", - "backend": { - "name": "pytorch", - 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max_batch_size: null - params: null - help: - app_name: ${hydra.job.name} - header: '${hydra.help.app_name} is powered by Hydra. - - ' - footer: 'Powered by Hydra (https://hydra.cc) - - Use --hydra-help to view Hydra specific help - - ' - template: '${hydra.help.header} - - == Configuration groups == - - Compose your configuration from those groups (group=option) - - - $APP_CONFIG_GROUPS - - - == Config == - - Override anything in the config (foo.bar=value) - - - $CONFIG - - - ${hydra.help.footer} - - ' - hydra_help: - template: 'Hydra (${hydra.runtime.version}) - - See https://hydra.cc for more info. - - - == Flags == - - $FLAGS_HELP - - - == Configuration groups == - - Compose your configuration from those groups (For example, append hydra/job_logging=disabled - to command line) - - - $HYDRA_CONFIG_GROUPS - - - Use ''--cfg hydra'' to Show the Hydra config. - - ' - hydra_help: ??? - hydra_logging: - version: 1 - formatters: - colorlog: - (): colorlog.ColoredFormatter - format: '[%(cyan)s%(asctime)s%(reset)s][%(purple)sHYDRA%(reset)s] %(message)s' - 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hydra/sweeper: basic - hydra/launcher: basic - hydra/output: default - verbose: false diff --git a/text_classification/lvwerra/distilbert-imdb/2024-10-01-19-03-36/.hydra/overrides.yaml b/text_classification/lvwerra/distilbert-imdb/2024-10-01-19-03-36/.hydra/overrides.yaml deleted file mode 100644 index fe51488c7066f6687ef680d6bfaa4f7768ef205c..0000000000000000000000000000000000000000 --- a/text_classification/lvwerra/distilbert-imdb/2024-10-01-19-03-36/.hydra/overrides.yaml +++ /dev/null @@ -1 +0,0 @@ -[] diff --git a/text_classification/lvwerra/distilbert-imdb/2024-10-01-19-03-36/cli.log b/text_classification/lvwerra/distilbert-imdb/2024-10-01-19-03-36/cli.log deleted file mode 100644 index 871f7642e5ef154b7e0e146003a6b1741e9641e0..0000000000000000000000000000000000000000 --- a/text_classification/lvwerra/distilbert-imdb/2024-10-01-19-03-36/cli.log +++ /dev/null @@ -1,28 +0,0 @@ -[2024-10-01 19:03:36,282][launcher][INFO] - ََAllocating process launcher -[2024-10-01 19:03:36,282][process][INFO] - + Setting multiprocessing start method to spawn. -[2024-10-01 19:03:36,295][device-isolation][INFO] - + Launched device(s) isolation process 66 -[2024-10-01 19:03:36,296][device-isolation][INFO] - + Isolating device(s) [0] -[2024-10-01 19:03:36,302][process][INFO] - + Launched benchmark in isolated process 67. -[PROC-0][2024-10-01 19:03:38,922][datasets][INFO] - PyTorch version 2.4.0 available. -[PROC-0][2024-10-01 19:03:39,859][backend][INFO] - َAllocating pytorch backend -[PROC-0][2024-10-01 19:03:39,859][backend][INFO] - + Setting random seed to 42 -[PROC-0][2024-10-01 19:03:40,168][pytorch][INFO] - + Using AutoModel class AutoModelForSequenceClassification -[PROC-0][2024-10-01 19:03:40,168][pytorch][INFO] - + Creating backend temporary directory -[PROC-0][2024-10-01 19:03:40,168][pytorch][INFO] - + Loading model with random weights -[PROC-0][2024-10-01 19:03:40,169][pytorch][INFO] - + Creating no weights model -[PROC-0][2024-10-01 19:03:40,169][pytorch][INFO] - + Creating no weights model directory -[PROC-0][2024-10-01 19:03:40,169][pytorch][INFO] - 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َAllocating pytorch backend -[PROC-0][2024-10-01 19:10:47,152][backend][INFO] - + Setting random seed to 42 -[PROC-0][2024-10-01 19:10:47,446][pytorch][INFO] - + Using AutoModel class AutoModelForSequenceClassification -[PROC-0][2024-10-01 19:10:47,446][pytorch][INFO] - + Creating backend temporary directory -[PROC-0][2024-10-01 19:10:47,446][pytorch][INFO] - + Loading model with random weights -[PROC-0][2024-10-01 19:10:47,447][pytorch][INFO] - + Creating no weights model -[PROC-0][2024-10-01 19:10:47,447][pytorch][INFO] - + Creating no weights model directory -[PROC-0][2024-10-01 19:10:47,447][pytorch][INFO] - + Creating no weights model state dict -[PROC-0][2024-10-01 19:10:47,449][pytorch][INFO] - + Saving no weights model safetensors -[PROC-0][2024-10-01 19:10:47,449][pytorch][INFO] - + Saving no weights model pretrained config -[PROC-0][2024-10-01 19:10:47,450][pytorch][INFO] - + Loading no weights AutoModel -[PROC-0][2024-10-01 19:10:47,450][pytorch][INFO] - + Loading model directly on device: cuda -[PROC-0][2024-10-01 19:10:47,709][pytorch][INFO] - 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+ Saving codecarbon emission data to forward_codecarbon.json -[PROC-0][2024-10-01 19:10:57,607][energy_star][INFO] - + Iteration 2/10 -[PROC-0][2024-10-01 19:11:01,606][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json -[PROC-0][2024-10-01 19:11:01,609][energy_star][INFO] - + Iteration 3/10 -[PROC-0][2024-10-01 19:11:05,612][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json -[PROC-0][2024-10-01 19:11:05,615][energy_star][INFO] - + Iteration 4/10 -[PROC-0][2024-10-01 19:11:09,588][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json -[PROC-0][2024-10-01 19:11:09,591][energy_star][INFO] - + Iteration 5/10 -[PROC-0][2024-10-01 19:11:13,567][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json -[PROC-0][2024-10-01 19:11:13,569][energy_star][INFO] - + Iteration 6/10 -[PROC-0][2024-10-01 19:11:17,565][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json -[PROC-0][2024-10-01 19:11:17,568][energy_star][INFO] - + Iteration 7/10 -[PROC-0][2024-10-01 19:11:21,531][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json -[PROC-0][2024-10-01 19:11:21,534][energy_star][INFO] - + Iteration 8/10 -[PROC-0][2024-10-01 19:11:25,538][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json -[PROC-0][2024-10-01 19:11:25,540][energy_star][INFO] - + Iteration 9/10 -[PROC-0][2024-10-01 19:11:29,469][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json -[PROC-0][2024-10-01 19:11:29,472][energy_star][INFO] - + Iteration 10/10 -[PROC-0][2024-10-01 19:11:33,433][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json -[PROC-0][2024-10-01 19:11:33,436][energy][INFO] - + forward energy consumption: -[PROC-0][2024-10-01 19:11:33,436][energy][INFO] - + CPU: 0.000042 (kWh) -[PROC-0][2024-10-01 19:11:33,436][energy][INFO] - + GPU: 0.000169 (kWh) -[PROC-0][2024-10-01 19:11:33,436][energy][INFO] - + RAM: 0.000000 (kWh) -[PROC-0][2024-10-01 19:11:33,436][energy][INFO] - + total: 0.000212 (kWh) -[PROC-0][2024-10-01 19:11:33,437][energy][INFO] - + forward_iteration_1 energy consumption: -[PROC-0][2024-10-01 19:11:33,437][energy][INFO] - + CPU: 0.000047 (kWh) -[PROC-0][2024-10-01 19:11:33,437][energy][INFO] - + GPU: 0.000182 (kWh) -[PROC-0][2024-10-01 19:11:33,437][energy][INFO] - + RAM: 0.000000 (kWh) -[PROC-0][2024-10-01 19:11:33,437][energy][INFO] - + total: 0.000230 (kWh) -[PROC-0][2024-10-01 19:11:33,437][energy][INFO] - + forward_iteration_2 energy consumption: -[PROC-0][2024-10-01 19:11:33,437][energy][INFO] - + CPU: 0.000047 (kWh) -[PROC-0][2024-10-01 19:11:33,437][energy][INFO] - + GPU: 0.000185 (kWh) -[PROC-0][2024-10-01 19:11:33,437][energy][INFO] - + RAM: 0.000000 (kWh) -[PROC-0][2024-10-01 19:11:33,437][energy][INFO] - + total: 0.000233 (kWh) -[PROC-0][2024-10-01 19:11:33,437][energy][INFO] - + forward_iteration_3 energy consumption: -[PROC-0][2024-10-01 19:11:33,437][energy][INFO] - + CPU: 0.000047 (kWh) -[PROC-0][2024-10-01 19:11:33,438][energy][INFO] - + GPU: 0.000185 (kWh) -[PROC-0][2024-10-01 19:11:33,438][energy][INFO] - + RAM: 0.000000 (kWh) -[PROC-0][2024-10-01 19:11:33,438][energy][INFO] - + total: 0.000233 (kWh) -[PROC-0][2024-10-01 19:11:33,438][energy][INFO] - + forward_iteration_4 energy consumption: -[PROC-0][2024-10-01 19:11:33,438][energy][INFO] - + CPU: 0.000047 (kWh) -[PROC-0][2024-10-01 19:11:33,438][energy][INFO] - + GPU: 0.000188 (kWh) -[PROC-0][2024-10-01 19:11:33,438][energy][INFO] - + RAM: 0.000000 (kWh) -[PROC-0][2024-10-01 19:11:33,438][energy][INFO] - + total: 0.000235 (kWh) -[PROC-0][2024-10-01 19:11:33,438][energy][INFO] - + forward_iteration_5 energy consumption: -[PROC-0][2024-10-01 19:11:33,438][energy][INFO] - + CPU: 0.000047 (kWh) -[PROC-0][2024-10-01 19:11:33,438][energy][INFO] - + GPU: 0.000188 (kWh) -[PROC-0][2024-10-01 19:11:33,438][energy][INFO] - + RAM: 0.000000 (kWh) -[PROC-0][2024-10-01 19:11:33,438][energy][INFO] - + total: 0.000235 (kWh) -[PROC-0][2024-10-01 19:11:33,439][energy][INFO] - + forward_iteration_6 energy consumption: -[PROC-0][2024-10-01 19:11:33,439][energy][INFO] - + CPU: 0.000047 (kWh) -[PROC-0][2024-10-01 19:11:33,439][energy][INFO] - + GPU: 0.000191 (kWh) -[PROC-0][2024-10-01 19:11:33,439][energy][INFO] - + RAM: 0.000000 (kWh) -[PROC-0][2024-10-01 19:11:33,439][energy][INFO] - + total: 0.000238 (kWh) -[PROC-0][2024-10-01 19:11:33,439][energy][INFO] - + forward_iteration_7 energy consumption: -[PROC-0][2024-10-01 19:11:33,439][energy][INFO] - + CPU: 0.000000 (kWh) -[PROC-0][2024-10-01 19:11:33,439][energy][INFO] - + GPU: 0.000000 (kWh) -[PROC-0][2024-10-01 19:11:33,439][energy][INFO] - + RAM: 0.000000 (kWh) -[PROC-0][2024-10-01 19:11:33,439][energy][INFO] - + total: 0.000000 (kWh) -[PROC-0][2024-10-01 19:11:33,439][energy][INFO] - + forward_iteration_8 energy consumption: -[PROC-0][2024-10-01 19:11:33,439][energy][INFO] - + CPU: 0.000047 (kWh) -[PROC-0][2024-10-01 19:11:33,440][energy][INFO] - + GPU: 0.000191 (kWh) -[PROC-0][2024-10-01 19:11:33,440][energy][INFO] - + RAM: 0.000000 (kWh) -[PROC-0][2024-10-01 19:11:33,440][energy][INFO] - + total: 0.000239 (kWh) -[PROC-0][2024-10-01 19:11:33,440][energy][INFO] - + forward_iteration_9 energy consumption: -[PROC-0][2024-10-01 19:11:33,440][energy][INFO] - + CPU: 0.000046 (kWh) -[PROC-0][2024-10-01 19:11:33,440][energy][INFO] - + GPU: 0.000189 (kWh) -[PROC-0][2024-10-01 19:11:33,440][energy][INFO] - + RAM: 0.000000 (kWh) -[PROC-0][2024-10-01 19:11:33,440][energy][INFO] - + total: 0.000236 (kWh) -[PROC-0][2024-10-01 19:11:33,440][energy][INFO] - + forward_iteration_10 energy consumption: -[PROC-0][2024-10-01 19:11:33,440][energy][INFO] - + CPU: 0.000047 (kWh) -[PROC-0][2024-10-01 19:11:33,440][energy][INFO] - + GPU: 0.000193 (kWh) -[PROC-0][2024-10-01 19:11:33,440][energy][INFO] - + RAM: 0.000000 (kWh) -[PROC-0][2024-10-01 19:11:33,440][energy][INFO] - + total: 0.000241 (kWh) -[PROC-0][2024-10-01 19:11:33,441][energy][INFO] - + preprocess energy consumption: -[PROC-0][2024-10-01 19:11:33,441][energy][INFO] - + CPU: 0.000005 (kWh) -[PROC-0][2024-10-01 19:11:33,441][energy][INFO] - + GPU: 0.000008 (kWh) -[PROC-0][2024-10-01 19:11:33,441][energy][INFO] - + RAM: 0.000000 (kWh) -[PROC-0][2024-10-01 19:11:33,441][energy][INFO] - + total: 0.000013 (kWh) -[PROC-0][2024-10-01 19:11:33,441][energy][INFO] - + forward energy efficiency: 4719497.649372 (samples/kWh) -[PROC-0][2024-10-01 19:11:33,441][energy][INFO] - + preprocess energy efficiency: 78583730.242303 (samples/kWh) -[2024-10-01 19:11:34,040][device-isolation][INFO] - + Closing device(s) isolation process... -[2024-10-01 19:11:34,093][datasets][INFO] - PyTorch version 2.4.0 available. diff --git a/text_classification/lvwerra/distilbert-imdb/2024-10-01-19-10-43/experiment_config.json b/text_classification/lvwerra/distilbert-imdb/2024-10-01-19-10-43/experiment_config.json deleted file mode 100644 index 772aa352d839018f6caa9107fd24acf54618c6aa..0000000000000000000000000000000000000000 --- a/text_classification/lvwerra/distilbert-imdb/2024-10-01-19-10-43/experiment_config.json +++ /dev/null @@ -1,107 +0,0 @@ -{ - "experiment_name": "text_classification", - "backend": { - "name": "pytorch", - 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"_target_": "optimum_benchmark.launchers.process.launcher.ProcessLauncher", - "device_isolation": true, - "device_isolation_action": "warn", - "start_method": "spawn" - }, - "benchmark": { - "name": "energy_star", - "_target_": "optimum_benchmark.benchmarks.energy_star.benchmark.EnergyStarBenchmark", - "dataset_name": "EnergyStarAI/text_classification", - "dataset_config": "", - "dataset_split": "train", - "num_samples": 1000, - "input_shapes": { - "batch_size": 1 - }, - "text_column_name": "text", - "truncation": true, - "max_length": -1, - "dataset_prefix1": "", - "dataset_prefix2": "", - "t5_task": "", - "image_column_name": "image", - "resize": false, - "question_column_name": "question", - "context_column_name": "context", - "sentence1_column_name": "sentence1", - "sentence2_column_name": "sentence2", - "audio_column_name": "audio", - "iterations": 10, - "warmup_runs": 10, - "energy": true, - "forward_kwargs": {}, - "generate_kwargs": {}, - "call_kwargs": {} - }, - "environment": { - 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dataset_name: EnergyStarAI/text_classification - dataset_config: '' - dataset_split: train - num_samples: 1000 - input_shapes: - batch_size: 1 - text_column_name: text - truncation: true - max_length: -1 - dataset_prefix1: '' - dataset_prefix2: '' - t5_task: '' - image_column_name: image - resize: false - question_column_name: question - context_column_name: context - sentence1_column_name: sentence1 - sentence2_column_name: sentence2 - audio_column_name: audio - iterations: 10 - warmup_runs: 10 - energy: true - forward_kwargs: {} - generate_kwargs: {} - call_kwargs: {} -experiment_name: text_classification -environment: - cpu: ' AMD EPYC 7R32' - cpu_count: 48 - cpu_ram_mb: 200472.73984 - system: Linux - machine: x86_64 - platform: Linux-5.10.192-183.736.amzn2.x86_64-x86_64-with-glibc2.35 - processor: x86_64 - python_version: 3.9.20 - gpu: - - NVIDIA A10G - gpu_count: 1 - gpu_vram_mb: 24146608128 - optimum_benchmark_version: 0.2.0 - optimum_benchmark_commit: null - transformers_version: 4.44.0 - 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max_batch_size: null - params: null - help: - app_name: ${hydra.job.name} - header: '${hydra.help.app_name} is powered by Hydra. - - ' - footer: 'Powered by Hydra (https://hydra.cc) - - Use --hydra-help to view Hydra specific help - - ' - template: '${hydra.help.header} - - == Configuration groups == - - Compose your configuration from those groups (group=option) - - - $APP_CONFIG_GROUPS - - - == Config == - - Override anything in the config (foo.bar=value) - - - $CONFIG - - - ${hydra.help.footer} - - ' - hydra_help: - template: 'Hydra (${hydra.runtime.version}) - - See https://hydra.cc for more info. - - - == Flags == - - $FLAGS_HELP - - - == Configuration groups == - - Compose your configuration from those groups (For example, append hydra/job_logging=disabled - to command line) - - - $HYDRA_CONFIG_GROUPS - - - Use ''--cfg hydra'' to Show the Hydra config. - - ' - hydra_help: ??? - hydra_logging: - version: 1 - formatters: - colorlog: - (): colorlog.ColoredFormatter - format: '[%(cyan)s%(asctime)s%(reset)s][%(purple)sHYDRA%(reset)s] %(message)s' - 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hydra/sweeper: basic - hydra/launcher: basic - hydra/output: default - verbose: false diff --git a/text_classification/lvwerra/distilbert-imdb/2024-10-01-19-11-38/.hydra/overrides.yaml b/text_classification/lvwerra/distilbert-imdb/2024-10-01-19-11-38/.hydra/overrides.yaml deleted file mode 100644 index fe51488c7066f6687ef680d6bfaa4f7768ef205c..0000000000000000000000000000000000000000 --- a/text_classification/lvwerra/distilbert-imdb/2024-10-01-19-11-38/.hydra/overrides.yaml +++ /dev/null @@ -1 +0,0 @@ -[] diff --git a/text_classification/lvwerra/distilbert-imdb/2024-10-01-19-11-38/cli.log b/text_classification/lvwerra/distilbert-imdb/2024-10-01-19-11-38/cli.log deleted file mode 100644 index 9197931b33a27bdf218c2f8187420419f2d660d3..0000000000000000000000000000000000000000 --- a/text_classification/lvwerra/distilbert-imdb/2024-10-01-19-11-38/cli.log +++ /dev/null @@ -1,30 +0,0 @@ -[2024-10-01 19:11:38,705][launcher][INFO] - ََAllocating process launcher -[2024-10-01 19:11:38,706][process][INFO] - + Setting multiprocessing start method to spawn. -[2024-10-01 19:11:38,718][device-isolation][INFO] - + Launched device(s) isolation process 66 -[2024-10-01 19:11:38,718][device-isolation][INFO] - + Isolating device(s) [0] -[2024-10-01 19:11:38,725][process][INFO] - + Launched benchmark in isolated process 67. -[PROC-0][2024-10-01 19:11:41,368][datasets][INFO] - PyTorch version 2.4.0 available. -[PROC-0][2024-10-01 19:11:42,337][backend][INFO] - َAllocating pytorch backend -[PROC-0][2024-10-01 19:11:42,338][backend][INFO] - + Setting random seed to 42 -[PROC-0][2024-10-01 19:11:42,663][pytorch][INFO] - + Using AutoModel class AutoModelForSequenceClassification -[PROC-0][2024-10-01 19:11:42,663][pytorch][INFO] - + Creating backend temporary directory -[PROC-0][2024-10-01 19:11:42,663][pytorch][INFO] - + Loading model with random weights -[PROC-0][2024-10-01 19:11:42,663][pytorch][INFO] - + Creating no weights model -[PROC-0][2024-10-01 19:11:42,663][pytorch][INFO] - + Creating no weights model directory -[PROC-0][2024-10-01 19:11:42,663][pytorch][INFO] - 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+ Preparing backend for Inference -[PROC-0][2024-10-01 19:11:48,082][energy_star][INFO] - + Initialising dataloader -[PROC-0][2024-10-01 19:11:48,082][energy_star][INFO] - + Warming up backend for Inference -[PROC-0][2024-10-01 19:11:48,570][energy_star][INFO] - + Running Inference energy tracking for 10 iterations -[PROC-0][2024-10-01 19:11:48,570][energy_star][INFO] - + Iteration 1/10 diff --git a/text_classification/lvwerra/distilbert-imdb/2024-10-01-19-11-38/experiment_config.json b/text_classification/lvwerra/distilbert-imdb/2024-10-01-19-11-38/experiment_config.json deleted file mode 100644 index 772aa352d839018f6caa9107fd24acf54618c6aa..0000000000000000000000000000000000000000 --- a/text_classification/lvwerra/distilbert-imdb/2024-10-01-19-11-38/experiment_config.json +++ /dev/null @@ -1,107 +0,0 @@ -{ - "experiment_name": "text_classification", - "backend": { - "name": "pytorch", - "version": "2.4.0", - "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend", - 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dataset_name: EnergyStarAI/text_classification - dataset_config: '' - dataset_split: train - num_samples: 1000 - input_shapes: - batch_size: 1 - text_column_name: text - truncation: true - max_length: -1 - dataset_prefix1: '' - dataset_prefix2: '' - t5_task: '' - image_column_name: image - resize: false - question_column_name: question - context_column_name: context - sentence1_column_name: sentence1 - sentence2_column_name: sentence2 - audio_column_name: audio - iterations: 10 - warmup_runs: 10 - energy: true - forward_kwargs: {} - generate_kwargs: {} - call_kwargs: {} -experiment_name: text_classification -environment: - cpu: ' AMD EPYC 7R32' - cpu_count: 48 - cpu_ram_mb: 200472.73984 - system: Linux - machine: x86_64 - platform: Linux-5.10.192-183.736.amzn2.x86_64-x86_64-with-glibc2.35 - processor: x86_64 - python_version: 3.9.20 - gpu: - - NVIDIA A10G - gpu_count: 1 - gpu_vram_mb: 24146608128 - optimum_benchmark_version: 0.2.0 - optimum_benchmark_commit: null - transformers_version: 4.44.0 - 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max_batch_size: null - params: null - help: - app_name: ${hydra.job.name} - header: '${hydra.help.app_name} is powered by Hydra. - - ' - footer: 'Powered by Hydra (https://hydra.cc) - - Use --hydra-help to view Hydra specific help - - ' - template: '${hydra.help.header} - - == Configuration groups == - - Compose your configuration from those groups (group=option) - - - $APP_CONFIG_GROUPS - - - == Config == - - Override anything in the config (foo.bar=value) - - - $CONFIG - - - ${hydra.help.footer} - - ' - hydra_help: - template: 'Hydra (${hydra.runtime.version}) - - See https://hydra.cc for more info. - - - == Flags == - - $FLAGS_HELP - - - == Configuration groups == - - Compose your configuration from those groups (For example, append hydra/job_logging=disabled - to command line) - - - $HYDRA_CONFIG_GROUPS - - - Use ''--cfg hydra'' to Show the Hydra config. - - ' - hydra_help: ??? - hydra_logging: - version: 1 - formatters: - colorlog: - (): colorlog.ColoredFormatter - format: '[%(cyan)s%(asctime)s%(reset)s][%(purple)sHYDRA%(reset)s] %(message)s' - 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hydra/sweeper: basic - hydra/launcher: basic - hydra/output: default - verbose: false diff --git a/text_classification/lvwerra/distilbert-imdb/2024-10-01-19-17-35/.hydra/overrides.yaml b/text_classification/lvwerra/distilbert-imdb/2024-10-01-19-17-35/.hydra/overrides.yaml deleted file mode 100644 index fe51488c7066f6687ef680d6bfaa4f7768ef205c..0000000000000000000000000000000000000000 --- a/text_classification/lvwerra/distilbert-imdb/2024-10-01-19-17-35/.hydra/overrides.yaml +++ /dev/null @@ -1 +0,0 @@ -[] diff --git a/text_classification/lvwerra/distilbert-imdb/2024-10-01-19-17-35/benchmark_report.json b/text_classification/lvwerra/distilbert-imdb/2024-10-01-19-17-35/benchmark_report.json deleted file mode 100644 index 2c032883fca54459914da0c285657e8c48caa66d..0000000000000000000000000000000000000000 --- a/text_classification/lvwerra/distilbert-imdb/2024-10-01-19-17-35/benchmark_report.json +++ /dev/null @@ -1,107 +0,0 @@ -{ - "forward": { - "memory": null, - "latency": null, - "throughput": null, - 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"efficiency": { - "unit": "samples/kWh", - "value": 80040377.9959141 - }, - "measures": null - } -} \ No newline at end of file diff --git a/text_classification/lvwerra/distilbert-imdb/2024-10-01-19-17-35/cli.log b/text_classification/lvwerra/distilbert-imdb/2024-10-01-19-17-35/cli.log deleted file mode 100644 index dbc6a7aac5ee04e649477d03b97db9d4026aaad7..0000000000000000000000000000000000000000 --- a/text_classification/lvwerra/distilbert-imdb/2024-10-01-19-17-35/cli.log +++ /dev/null @@ -1,113 +0,0 @@ -[2024-10-01 19:17:35,237][launcher][INFO] - ََAllocating process launcher -[2024-10-01 19:17:35,237][process][INFO] - + Setting multiprocessing start method to spawn. -[2024-10-01 19:17:35,269][device-isolation][INFO] - + Launched device(s) isolation process 66 -[2024-10-01 19:17:35,270][device-isolation][INFO] - + Isolating device(s) [0] -[2024-10-01 19:17:35,277][process][INFO] - + Launched benchmark in isolated process 67. -[PROC-0][2024-10-01 19:17:37,871][datasets][INFO] - PyTorch version 2.4.0 available. -[PROC-0][2024-10-01 19:17:38,845][backend][INFO] - َAllocating pytorch backend -[PROC-0][2024-10-01 19:17:38,846][backend][INFO] - + Setting random seed to 42 -[PROC-0][2024-10-01 19:17:39,114][pytorch][INFO] - + Using AutoModel class AutoModelForSequenceClassification -[PROC-0][2024-10-01 19:17:39,114][pytorch][INFO] - + Creating backend temporary directory -[PROC-0][2024-10-01 19:17:39,114][pytorch][INFO] - + Loading model with random weights -[PROC-0][2024-10-01 19:17:39,114][pytorch][INFO] - + Creating no weights model -[PROC-0][2024-10-01 19:17:39,114][pytorch][INFO] - + Creating no weights model directory -[PROC-0][2024-10-01 19:17:39,115][pytorch][INFO] - + Creating no weights model state dict -[PROC-0][2024-10-01 19:17:39,117][pytorch][INFO] - + Saving no weights model safetensors -[PROC-0][2024-10-01 19:17:39,117][pytorch][INFO] - + Saving no weights model pretrained config -[PROC-0][2024-10-01 19:17:39,118][pytorch][INFO] - + Loading no weights AutoModel -[PROC-0][2024-10-01 19:17:39,118][pytorch][INFO] - + Loading model directly on device: cuda -[PROC-0][2024-10-01 19:17:39,380][pytorch][INFO] - + Turning on model's eval mode -[PROC-0][2024-10-01 19:17:39,386][benchmark][INFO] - Allocating energy_star benchmark -[PROC-0][2024-10-01 19:17:39,387][energy_star][INFO] - + Loading raw dataset -[PROC-0][2024-10-01 19:17:40,056][energy_star][INFO] - + Initializing Inference report -[PROC-0][2024-10-01 19:17:40,056][energy][INFO] - + Tracking GPU energy on devices [0] -[PROC-0][2024-10-01 19:17:44,248][energy_star][INFO] - + Preprocessing dataset -[PROC-0][2024-10-01 19:17:44,676][energy][INFO] - + Saving codecarbon emission data to preprocess_codecarbon.json -[PROC-0][2024-10-01 19:17:44,679][energy_star][INFO] - + Preparing backend for Inference -[PROC-0][2024-10-01 19:17:44,679][energy_star][INFO] - + Initialising dataloader -[PROC-0][2024-10-01 19:17:44,680][energy_star][INFO] - + Warming up backend for Inference -[PROC-0][2024-10-01 19:17:45,201][energy_star][INFO] - + Running Inference energy tracking for 10 iterations -[PROC-0][2024-10-01 19:17:45,201][energy_star][INFO] - + Iteration 1/10 -[PROC-0][2024-10-01 19:17:49,243][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json -[PROC-0][2024-10-01 19:17:49,246][energy_star][INFO] - + Iteration 2/10 -[PROC-0][2024-10-01 19:17:53,228][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json -[PROC-0][2024-10-01 19:17:53,233][energy_star][INFO] - + Iteration 3/10 -[PROC-0][2024-10-01 19:17:57,193][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json -[PROC-0][2024-10-01 19:17:57,196][energy_star][INFO] - + Iteration 4/10 -[PROC-0][2024-10-01 19:18:01,160][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json -[PROC-0][2024-10-01 19:18:01,163][energy_star][INFO] - + Iteration 5/10 -[PROC-0][2024-10-01 19:18:05,124][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json -[PROC-0][2024-10-01 19:18:05,127][energy_star][INFO] - + Iteration 6/10 -[PROC-0][2024-10-01 19:18:09,169][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json -[PROC-0][2024-10-01 19:18:09,172][energy_star][INFO] - + Iteration 7/10 -[PROC-0][2024-10-01 19:18:13,182][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json -[PROC-0][2024-10-01 19:18:13,185][energy_star][INFO] - + Iteration 8/10 -[PROC-0][2024-10-01 19:18:17,240][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json -[PROC-0][2024-10-01 19:18:17,243][energy_star][INFO] - + Iteration 9/10 -[PROC-0][2024-10-01 19:18:21,315][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json -[PROC-0][2024-10-01 19:18:21,319][energy_star][INFO] - + Iteration 10/10 -[PROC-0][2024-10-01 19:18:25,364][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json -[PROC-0][2024-10-01 19:18:25,367][energy][INFO] - + forward energy consumption: -[PROC-0][2024-10-01 19:18:25,367][energy][INFO] - + CPU: 0.000043 (kWh) -[PROC-0][2024-10-01 19:18:25,367][energy][INFO] - + GPU: 0.000166 (kWh) -[PROC-0][2024-10-01 19:18:25,367][energy][INFO] - + RAM: 0.000000 (kWh) -[PROC-0][2024-10-01 19:18:25,368][energy][INFO] - + total: 0.000209 (kWh) -[PROC-0][2024-10-01 19:18:25,368][energy][INFO] - + forward_iteration_1 energy consumption: -[PROC-0][2024-10-01 19:18:25,368][energy][INFO] - + CPU: 0.000048 (kWh) -[PROC-0][2024-10-01 19:18:25,368][energy][INFO] - + GPU: 0.000182 (kWh) -[PROC-0][2024-10-01 19:18:25,368][energy][INFO] - + RAM: 0.000000 (kWh) -[PROC-0][2024-10-01 19:18:25,368][energy][INFO] - + total: 0.000230 (kWh) -[PROC-0][2024-10-01 19:18:25,368][energy][INFO] - + forward_iteration_2 energy consumption: -[PROC-0][2024-10-01 19:18:25,368][energy][INFO] - + CPU: 0.000047 (kWh) -[PROC-0][2024-10-01 19:18:25,368][energy][INFO] - + GPU: 0.000182 (kWh) -[PROC-0][2024-10-01 19:18:25,369][energy][INFO] - + RAM: 0.000000 (kWh) -[PROC-0][2024-10-01 19:18:25,369][energy][INFO] - + total: 0.000230 (kWh) -[PROC-0][2024-10-01 19:18:25,369][energy][INFO] - + forward_iteration_3 energy consumption: -[PROC-0][2024-10-01 19:18:25,369][energy][INFO] - + CPU: 0.000047 (kWh) -[PROC-0][2024-10-01 19:18:25,369][energy][INFO] - + GPU: 0.000178 (kWh) -[PROC-0][2024-10-01 19:18:25,369][energy][INFO] - + RAM: 0.000000 (kWh) -[PROC-0][2024-10-01 19:18:25,369][energy][INFO] - + total: 0.000225 (kWh) -[PROC-0][2024-10-01 19:18:25,369][energy][INFO] - + forward_iteration_4 energy consumption: -[PROC-0][2024-10-01 19:18:25,369][energy][INFO] - + CPU: 0.000047 (kWh) -[PROC-0][2024-10-01 19:18:25,370][energy][INFO] - + GPU: 0.000183 (kWh) -[PROC-0][2024-10-01 19:18:25,370][energy][INFO] - + RAM: 0.000000 (kWh) -[PROC-0][2024-10-01 19:18:25,370][energy][INFO] - + total: 0.000230 (kWh) -[PROC-0][2024-10-01 19:18:25,370][energy][INFO] - + forward_iteration_5 energy consumption: -[PROC-0][2024-10-01 19:18:25,370][energy][INFO] - + CPU: 0.000047 (kWh) -[PROC-0][2024-10-01 19:18:25,370][energy][INFO] - + GPU: 0.000188 (kWh) -[PROC-0][2024-10-01 19:18:25,370][energy][INFO] - + RAM: 0.000000 (kWh) -[PROC-0][2024-10-01 19:18:25,370][energy][INFO] - + total: 0.000235 (kWh) -[PROC-0][2024-10-01 19:18:25,370][energy][INFO] - + forward_iteration_6 energy consumption: -[PROC-0][2024-10-01 19:18:25,370][energy][INFO] - + CPU: 0.000048 (kWh) -[PROC-0][2024-10-01 19:18:25,371][energy][INFO] - + GPU: 0.000185 (kWh) -[PROC-0][2024-10-01 19:18:25,371][energy][INFO] - + RAM: 0.000000 (kWh) -[PROC-0][2024-10-01 19:18:25,371][energy][INFO] - + total: 0.000233 (kWh) -[PROC-0][2024-10-01 19:18:25,371][energy][INFO] - + forward_iteration_7 energy consumption: -[PROC-0][2024-10-01 19:18:25,371][energy][INFO] - + CPU: 0.000000 (kWh) -[PROC-0][2024-10-01 19:18:25,371][energy][INFO] - + GPU: 0.000000 (kWh) -[PROC-0][2024-10-01 19:18:25,371][energy][INFO] - + RAM: 0.000000 (kWh) -[PROC-0][2024-10-01 19:18:25,371][energy][INFO] - + total: 0.000000 (kWh) -[PROC-0][2024-10-01 19:18:25,371][energy][INFO] - + forward_iteration_8 energy consumption: -[PROC-0][2024-10-01 19:18:25,371][energy][INFO] - + CPU: 0.000048 (kWh) -[PROC-0][2024-10-01 19:18:25,371][energy][INFO] - + GPU: 0.000191 (kWh) -[PROC-0][2024-10-01 19:18:25,372][energy][INFO] - + RAM: 0.000000 (kWh) -[PROC-0][2024-10-01 19:18:25,372][energy][INFO] - + total: 0.000240 (kWh) -[PROC-0][2024-10-01 19:18:25,372][energy][INFO] - + forward_iteration_9 energy consumption: -[PROC-0][2024-10-01 19:18:25,372][energy][INFO] - + CPU: 0.000048 (kWh) -[PROC-0][2024-10-01 19:18:25,372][energy][INFO] - + GPU: 0.000190 (kWh) -[PROC-0][2024-10-01 19:18:25,372][energy][INFO] - + RAM: 0.000000 (kWh) -[PROC-0][2024-10-01 19:18:25,372][energy][INFO] - + total: 0.000238 (kWh) -[PROC-0][2024-10-01 19:18:25,372][energy][INFO] - + forward_iteration_10 energy consumption: -[PROC-0][2024-10-01 19:18:25,372][energy][INFO] - + CPU: 0.000048 (kWh) -[PROC-0][2024-10-01 19:18:25,372][energy][INFO] - + GPU: 0.000186 (kWh) -[PROC-0][2024-10-01 19:18:25,372][energy][INFO] - + RAM: 0.000000 (kWh) -[PROC-0][2024-10-01 19:18:25,373][energy][INFO] - + total: 0.000234 (kWh) -[PROC-0][2024-10-01 19:18:25,373][energy][INFO] - + preprocess energy consumption: -[PROC-0][2024-10-01 19:18:25,373][energy][INFO] - + CPU: 0.000005 (kWh) -[PROC-0][2024-10-01 19:18:25,373][energy][INFO] - + GPU: 0.000007 (kWh) -[PROC-0][2024-10-01 19:18:25,373][energy][INFO] - + RAM: 0.000000 (kWh) -[PROC-0][2024-10-01 19:18:25,373][energy][INFO] - + total: 0.000012 (kWh) -[PROC-0][2024-10-01 19:18:25,373][energy][INFO] - + forward energy efficiency: 4775987.632850 (samples/kWh) -[PROC-0][2024-10-01 19:18:25,373][energy][INFO] - + preprocess energy efficiency: 80040377.995914 (samples/kWh) -[2024-10-01 19:18:26,002][device-isolation][INFO] - + Closing device(s) isolation process... -[2024-10-01 19:18:26,056][datasets][INFO] - PyTorch version 2.4.0 available. diff --git a/text_classification/lvwerra/distilbert-imdb/2024-10-01-19-17-35/experiment_config.json b/text_classification/lvwerra/distilbert-imdb/2024-10-01-19-17-35/experiment_config.json deleted file mode 100644 index 772aa352d839018f6caa9107fd24acf54618c6aa..0000000000000000000000000000000000000000 --- a/text_classification/lvwerra/distilbert-imdb/2024-10-01-19-17-35/experiment_config.json +++ /dev/null @@ -1,107 +0,0 @@ -{ - "experiment_name": "text_classification", - "backend": { - "name": "pytorch", - "version": "2.4.0", - "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend", - "task": "text-classification", - "model": "lvwerra/distilbert-imdb", - "processor": "lvwerra/distilbert-imdb", - "library": "transformers", - "device": "cuda", - "device_ids": "0", - "seed": 42, - "inter_op_num_threads": null, - "intra_op_num_threads": null, - "hub_kwargs": { - "revision": "main", - "force_download": false, - "local_files_only": false, - "trust_remote_code": true - }, - "no_weights": true, - "device_map": null, - "torch_dtype": null, - "amp_autocast": false, - "amp_dtype": null, - "eval_mode": true, - "to_bettertransformer": false, - "low_cpu_mem_usage": null, - "attn_implementation": null, - "cache_implementation": null, - "torch_compile": false, - "torch_compile_config": {}, - "quantization_scheme": null, - "quantization_config": {}, - "deepspeed_inference": false, - "deepspeed_inference_config": {}, - "peft_type": null, - "peft_config": {} - }, - "launcher": { - "name": "process", - "_target_": "optimum_benchmark.launchers.process.launcher.ProcessLauncher", - "device_isolation": true, - "device_isolation_action": "warn", - "start_method": "spawn" - }, - "benchmark": { - "name": "energy_star", - "_target_": "optimum_benchmark.benchmarks.energy_star.benchmark.EnergyStarBenchmark", - "dataset_name": "EnergyStarAI/text_classification", - "dataset_config": "", - "dataset_split": "train", - "num_samples": 1000, - "input_shapes": { - "batch_size": 1 - }, - "text_column_name": "text", - "truncation": true, - "max_length": -1, - "dataset_prefix1": "", - "dataset_prefix2": "", - "t5_task": "", - "image_column_name": "image", - "resize": false, - "question_column_name": "question", - "context_column_name": "context", - "sentence1_column_name": "sentence1", - "sentence2_column_name": "sentence2", - "audio_column_name": "audio", - "iterations": 10, - "warmup_runs": 10, - "energy": true, - "forward_kwargs": {}, - "generate_kwargs": {}, - "call_kwargs": {} - }, - "environment": { - 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dataset_name: EnergyStarAI/text_classification - dataset_config: '' - dataset_split: train - num_samples: 1000 - input_shapes: - batch_size: 1 - text_column_name: text - truncation: true - max_length: -1 - dataset_prefix1: '' - dataset_prefix2: '' - t5_task: '' - image_column_name: image - resize: false - question_column_name: question - context_column_name: context - sentence1_column_name: sentence1 - sentence2_column_name: sentence2 - audio_column_name: audio - iterations: 10 - warmup_runs: 10 - energy: true - forward_kwargs: {} - generate_kwargs: {} - call_kwargs: {} -experiment_name: text_classification -environment: - cpu: ' AMD EPYC 7R32' - cpu_count: 48 - cpu_ram_mb: 200472.73984 - system: Linux - machine: x86_64 - platform: Linux-5.10.192-183.736.amzn2.x86_64-x86_64-with-glibc2.35 - processor: x86_64 - python_version: 3.9.20 - gpu: - - NVIDIA A10G - gpu_count: 1 - gpu_vram_mb: 24146608128 - optimum_benchmark_version: 0.2.0 - optimum_benchmark_commit: null - transformers_version: 4.44.0 - 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max_batch_size: null - params: null - help: - app_name: ${hydra.job.name} - header: '${hydra.help.app_name} is powered by Hydra. - - ' - footer: 'Powered by Hydra (https://hydra.cc) - - Use --hydra-help to view Hydra specific help - - ' - template: '${hydra.help.header} - - == Configuration groups == - - Compose your configuration from those groups (group=option) - - - $APP_CONFIG_GROUPS - - - == Config == - - Override anything in the config (foo.bar=value) - - - $CONFIG - - - ${hydra.help.footer} - - ' - hydra_help: - template: 'Hydra (${hydra.runtime.version}) - - See https://hydra.cc for more info. - - - == Flags == - - $FLAGS_HELP - - - == Configuration groups == - - Compose your configuration from those groups (For example, append hydra/job_logging=disabled - to command line) - - - $HYDRA_CONFIG_GROUPS - - - Use ''--cfg hydra'' to Show the Hydra config. - - ' - hydra_help: ??? - hydra_logging: - version: 1 - formatters: - colorlog: - (): colorlog.ColoredFormatter - format: '[%(cyan)s%(asctime)s%(reset)s][%(purple)sHYDRA%(reset)s] %(message)s' - 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hydra/sweeper: basic - hydra/launcher: basic - hydra/output: default - verbose: false diff --git a/text_classification/lvwerra/distilbert-imdb/2024-10-01-19-18-30/.hydra/overrides.yaml b/text_classification/lvwerra/distilbert-imdb/2024-10-01-19-18-30/.hydra/overrides.yaml deleted file mode 100644 index fe51488c7066f6687ef680d6bfaa4f7768ef205c..0000000000000000000000000000000000000000 --- a/text_classification/lvwerra/distilbert-imdb/2024-10-01-19-18-30/.hydra/overrides.yaml +++ /dev/null @@ -1 +0,0 @@ -[] diff --git a/text_classification/lvwerra/distilbert-imdb/2024-10-01-19-18-30/cli.log b/text_classification/lvwerra/distilbert-imdb/2024-10-01-19-18-30/cli.log deleted file mode 100644 index 9100e9d1df7f2ff431d11b1a08384f390f8d35a5..0000000000000000000000000000000000000000 --- a/text_classification/lvwerra/distilbert-imdb/2024-10-01-19-18-30/cli.log +++ /dev/null @@ -1,24 +0,0 @@ -[2024-10-01 19:18:30,814][launcher][INFO] - ََAllocating process launcher -[2024-10-01 19:18:30,815][process][INFO] - + Setting multiprocessing start method to spawn. -[2024-10-01 19:18:30,826][device-isolation][INFO] - + Launched device(s) isolation process 66 -[2024-10-01 19:18:30,826][device-isolation][INFO] - + Isolating device(s) [0] -[2024-10-01 19:18:30,833][process][INFO] - + Launched benchmark in isolated process 67. -[PROC-0][2024-10-01 19:18:33,466][datasets][INFO] - PyTorch version 2.4.0 available. -[PROC-0][2024-10-01 19:18:34,452][backend][INFO] - َAllocating pytorch backend -[PROC-0][2024-10-01 19:18:34,452][backend][INFO] - + Setting random seed to 42 -[PROC-0][2024-10-01 19:18:35,428][pytorch][INFO] - + Using AutoModel class AutoModelForSequenceClassification -[PROC-0][2024-10-01 19:18:35,428][pytorch][INFO] - + Creating backend temporary directory -[PROC-0][2024-10-01 19:18:35,429][pytorch][INFO] - + Loading model with random weights -[PROC-0][2024-10-01 19:18:35,429][pytorch][INFO] - + Creating no weights model -[PROC-0][2024-10-01 19:18:35,429][pytorch][INFO] - + Creating no weights model directory -[PROC-0][2024-10-01 19:18:35,429][pytorch][INFO] - + Creating no weights model state dict -[PROC-0][2024-10-01 19:18:35,431][pytorch][INFO] - + Saving no weights model safetensors -[PROC-0][2024-10-01 19:18:35,432][pytorch][INFO] - + Saving no weights model pretrained config -[PROC-0][2024-10-01 19:18:35,433][pytorch][INFO] - + Loading no weights AutoModel -[PROC-0][2024-10-01 19:18:35,433][pytorch][INFO] - + Loading model directly on device: cuda -[PROC-0][2024-10-01 19:18:35,717][pytorch][INFO] - + Turning on model's eval mode -[PROC-0][2024-10-01 19:18:35,723][benchmark][INFO] - Allocating energy_star benchmark -[PROC-0][2024-10-01 19:18:35,723][energy_star][INFO] - + Loading raw dataset -[PROC-0][2024-10-01 19:18:36,671][energy_star][INFO] - + Initializing Inference report -[PROC-0][2024-10-01 19:18:36,672][energy][INFO] - + Tracking GPU energy on devices [0] -[PROC-0][2024-10-01 19:18:40,851][energy_star][INFO] - + Preprocessing dataset diff --git a/text_classification/lvwerra/distilbert-imdb/2024-10-01-19-18-30/experiment_config.json b/text_classification/lvwerra/distilbert-imdb/2024-10-01-19-18-30/experiment_config.json deleted file mode 100644 index 772aa352d839018f6caa9107fd24acf54618c6aa..0000000000000000000000000000000000000000 --- a/text_classification/lvwerra/distilbert-imdb/2024-10-01-19-18-30/experiment_config.json +++ /dev/null @@ -1,107 +0,0 @@ -{ - "experiment_name": "text_classification", - "backend": { - "name": "pytorch", - "version": "2.4.0", - "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend", - "task": "text-classification", - "model": "lvwerra/distilbert-imdb", - "processor": "lvwerra/distilbert-imdb", - "library": "transformers", - "device": "cuda", - "device_ids": "0", - "seed": 42, - "inter_op_num_threads": null, - "intra_op_num_threads": null, - "hub_kwargs": { - "revision": "main", - "force_download": false, - "local_files_only": false, - "trust_remote_code": true - }, - "no_weights": true, - "device_map": null, - "torch_dtype": null, - "amp_autocast": false, - "amp_dtype": null, - "eval_mode": true, - "to_bettertransformer": false, - "low_cpu_mem_usage": null, - "attn_implementation": null, - "cache_implementation": null, - "torch_compile": false, - "torch_compile_config": {}, - "quantization_scheme": null, - "quantization_config": {}, - "deepspeed_inference": false, - "deepspeed_inference_config": {}, - "peft_type": null, - "peft_config": {} - }, - "launcher": { - "name": "process", - "_target_": "optimum_benchmark.launchers.process.launcher.ProcessLauncher", - "device_isolation": true, - "device_isolation_action": "warn", - "start_method": "spawn" - }, - "benchmark": { - "name": "energy_star", - "_target_": "optimum_benchmark.benchmarks.energy_star.benchmark.EnergyStarBenchmark", - "dataset_name": "EnergyStarAI/text_classification", - "dataset_config": "", - "dataset_split": "train", - "num_samples": 1000, - "input_shapes": { - "batch_size": 1 - }, - "text_column_name": "text", - "truncation": true, - "max_length": -1, - "dataset_prefix1": "", - "dataset_prefix2": "", - "t5_task": "", - "image_column_name": "image", - "resize": false, - "question_column_name": "question", - "context_column_name": "context", - "sentence1_column_name": "sentence1", - "sentence2_column_name": "sentence2", - "audio_column_name": "audio", - "iterations": 10, - "warmup_runs": 10, - "energy": true, - "forward_kwargs": {}, - "generate_kwargs": {}, - "call_kwargs": {} - }, - "environment": { - "cpu": " AMD EPYC 7R32", - "cpu_count": 48, - "cpu_ram_mb": 200472.73984, - "system": "Linux", - "machine": "x86_64", - "platform": "Linux-5.10.192-183.736.amzn2.x86_64-x86_64-with-glibc2.35", - "processor": "x86_64", - "python_version": "3.9.20", - "gpu": [ - "NVIDIA A10G" - ], - "gpu_count": 1, - "gpu_vram_mb": 24146608128, - "optimum_benchmark_version": "0.2.0", - "optimum_benchmark_commit": null, - "transformers_version": "4.44.0", - "transformers_commit": null, - "accelerate_version": "0.33.0", - "accelerate_commit": null, - "diffusers_version": "0.30.0", - "diffusers_commit": null, - "optimum_version": null, - "optimum_commit": null, - "timm_version": null, - "timm_commit": null, - "peft_version": null, - "peft_commit": null - } -} \ No newline at end of file diff --git a/text_classification/lvwerra/distilbert-imdb/2024-10-01-19-21-19/.hydra/config.yaml b/text_classification/lvwerra/distilbert-imdb/2024-10-01-19-21-19/.hydra/config.yaml deleted file mode 100644 index ca9c7622983c00dc182a28ef5197b99186dbcca4..0000000000000000000000000000000000000000 --- a/text_classification/lvwerra/distilbert-imdb/2024-10-01-19-21-19/.hydra/config.yaml +++ /dev/null @@ -1,94 +0,0 @@ -backend: - name: pytorch - version: 2.4.0 - _target_: optimum_benchmark.backends.pytorch.backend.PyTorchBackend - task: text-classification - model: lvwerra/distilbert-imdb - processor: lvwerra/distilbert-imdb - library: null - device: cuda - device_ids: '0' - seed: 42 - inter_op_num_threads: null - intra_op_num_threads: null - hub_kwargs: {} - no_weights: true - device_map: null - torch_dtype: null - amp_autocast: false - amp_dtype: null - eval_mode: true - to_bettertransformer: false - low_cpu_mem_usage: null - attn_implementation: null - cache_implementation: null - torch_compile: false - torch_compile_config: {} - quantization_scheme: null - quantization_config: {} - deepspeed_inference: false - deepspeed_inference_config: {} - peft_type: null - peft_config: {} -launcher: - name: process - _target_: optimum_benchmark.launchers.process.launcher.ProcessLauncher - device_isolation: true - device_isolation_action: warn - start_method: spawn -benchmark: - name: energy_star - _target_: optimum_benchmark.benchmarks.energy_star.benchmark.EnergyStarBenchmark - dataset_name: EnergyStarAI/text_classification - dataset_config: '' - dataset_split: train - num_samples: 1000 - input_shapes: - batch_size: 1 - text_column_name: text - truncation: true - max_length: -1 - dataset_prefix1: '' - dataset_prefix2: '' - t5_task: '' - image_column_name: image - resize: false - question_column_name: question - context_column_name: context - sentence1_column_name: sentence1 - sentence2_column_name: sentence2 - audio_column_name: audio - iterations: 10 - warmup_runs: 10 - energy: true - forward_kwargs: {} - generate_kwargs: {} - call_kwargs: {} -experiment_name: text_classification -environment: - cpu: ' AMD EPYC 7R32' - cpu_count: 48 - cpu_ram_mb: 200472.73984 - system: Linux - machine: x86_64 - platform: Linux-5.10.192-183.736.amzn2.x86_64-x86_64-with-glibc2.35 - processor: x86_64 - python_version: 3.9.20 - gpu: - - NVIDIA A10G - gpu_count: 1 - gpu_vram_mb: 24146608128 - optimum_benchmark_version: 0.2.0 - optimum_benchmark_commit: null - transformers_version: 4.44.0 - transformers_commit: null - accelerate_version: 0.33.0 - accelerate_commit: null - diffusers_version: 0.30.0 - diffusers_commit: null - optimum_version: null - optimum_commit: null - timm_version: null - timm_commit: null - peft_version: null - peft_commit: null diff --git a/text_classification/lvwerra/distilbert-imdb/2024-10-01-19-21-19/.hydra/hydra.yaml b/text_classification/lvwerra/distilbert-imdb/2024-10-01-19-21-19/.hydra/hydra.yaml deleted file mode 100644 index d60a7f3a2d148ad01583601fe15d64811f2b044f..0000000000000000000000000000000000000000 --- a/text_classification/lvwerra/distilbert-imdb/2024-10-01-19-21-19/.hydra/hydra.yaml +++ /dev/null @@ -1,173 +0,0 @@ -hydra: - run: - dir: /data/runs/${experiment_name}/${backend.model}/${now:%Y-%m-%d-%H-%M-%S} - sweep: - dir: sweeps/${experiment_name}/${now:%Y-%m-%d-%H-%M-%S} - subdir: ${hydra.job.num} - launcher: - _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher - sweeper: - _target_: hydra._internal.core_plugins.basic_sweeper.BasicSweeper - max_batch_size: null - params: null - help: - app_name: ${hydra.job.name} - header: '${hydra.help.app_name} is powered by Hydra. - - ' - footer: 'Powered by Hydra (https://hydra.cc) - - Use --hydra-help to view Hydra specific help - - ' - template: '${hydra.help.header} - - == Configuration groups == - - Compose your configuration from those groups (group=option) - - - $APP_CONFIG_GROUPS - - - == Config == - - Override anything in the config (foo.bar=value) - - - $CONFIG - - - ${hydra.help.footer} - - ' - hydra_help: - template: 'Hydra (${hydra.runtime.version}) - - See https://hydra.cc for more info. - - - == Flags == - - $FLAGS_HELP - - - == Configuration groups == - - Compose your configuration from those groups (For example, append hydra/job_logging=disabled - to command line) - - - $HYDRA_CONFIG_GROUPS - - - Use ''--cfg hydra'' to Show the Hydra config. - - ' - hydra_help: ??? - hydra_logging: - version: 1 - formatters: - colorlog: - (): colorlog.ColoredFormatter - format: '[%(cyan)s%(asctime)s%(reset)s][%(purple)sHYDRA%(reset)s] %(message)s' - handlers: - console: - class: logging.StreamHandler - formatter: colorlog - stream: ext://sys.stdout - root: - level: INFO - handlers: - - console - disable_existing_loggers: false - job_logging: - version: 1 - formatters: - simple: - format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s' - colorlog: - (): colorlog.ColoredFormatter - format: '[%(cyan)s%(asctime)s%(reset)s][%(blue)s%(name)s%(reset)s][%(log_color)s%(levelname)s%(reset)s] - - %(message)s' - log_colors: - DEBUG: purple - INFO: green - WARNING: yellow - ERROR: red - CRITICAL: red - handlers: - console: - class: logging.StreamHandler - formatter: colorlog - stream: ext://sys.stdout - file: - class: logging.FileHandler - formatter: simple - filename: ${hydra.job.name}.log - root: - level: INFO - handlers: - - console - - file - disable_existing_loggers: false - env: {} - mode: RUN - searchpath: [] - callbacks: {} - output_subdir: .hydra - overrides: - hydra: - - hydra.run.dir=/data/runs/${experiment_name}/${backend.model}/${now:%Y-%m-%d-%H-%M-%S} - - hydra.mode=RUN - task: [] - job: - name: cli - chdir: true - override_dirname: '' - id: ??? - num: ??? - config_name: text_classification - env_set: - OVERRIDE_BENCHMARKS: '1' - env_copy: [] - config: - override_dirname: - kv_sep: '=' - item_sep: ',' - exclude_keys: [] - runtime: - version: 1.3.2 - version_base: '1.3' - cwd: / - config_sources: - - path: hydra.conf - schema: pkg - provider: hydra - - path: optimum_benchmark - schema: pkg - provider: main - - path: hydra_plugins.hydra_colorlog.conf - schema: pkg - provider: hydra-colorlog - - path: /optimum-benchmark/examples/energy_star - schema: file - provider: command-line - - path: '' - schema: structured - provider: schema - output_dir: /data/runs/text_classification/lvwerra/distilbert-imdb/2024-10-01-19-21-19 - choices: - benchmark: energy_star - launcher: process - backend: pytorch - hydra/env: default - hydra/callbacks: null - hydra/job_logging: colorlog - hydra/hydra_logging: colorlog - hydra/hydra_help: default - hydra/help: default - hydra/sweeper: basic - hydra/launcher: basic - hydra/output: default - verbose: false diff --git a/text_classification/lvwerra/distilbert-imdb/2024-10-01-19-21-19/.hydra/overrides.yaml b/text_classification/lvwerra/distilbert-imdb/2024-10-01-19-21-19/.hydra/overrides.yaml deleted file mode 100644 index fe51488c7066f6687ef680d6bfaa4f7768ef205c..0000000000000000000000000000000000000000 --- a/text_classification/lvwerra/distilbert-imdb/2024-10-01-19-21-19/.hydra/overrides.yaml +++ /dev/null @@ -1 +0,0 @@ -[] diff --git a/text_classification/lvwerra/distilbert-imdb/2024-10-01-19-21-19/benchmark_report.json b/text_classification/lvwerra/distilbert-imdb/2024-10-01-19-21-19/benchmark_report.json deleted file mode 100644 index 43274ee954f40a21b91e2b640346f01d2bb9915e..0000000000000000000000000000000000000000 --- a/text_classification/lvwerra/distilbert-imdb/2024-10-01-19-21-19/benchmark_report.json +++ /dev/null @@ -1,107 +0,0 @@ -{ - "forward": { - "memory": null, - "latency": null, - "throughput": null, - 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"unit": "samples/kWh", - "value": 78278560.87289377 - }, - "measures": null - } -} \ No newline at end of file diff --git a/text_classification/lvwerra/distilbert-imdb/2024-10-01-19-21-19/cli.log b/text_classification/lvwerra/distilbert-imdb/2024-10-01-19-21-19/cli.log deleted file mode 100644 index e384d26cb6ee2e34a93b262d85ee282d28f3cc7b..0000000000000000000000000000000000000000 --- a/text_classification/lvwerra/distilbert-imdb/2024-10-01-19-21-19/cli.log +++ /dev/null @@ -1,113 +0,0 @@ -[2024-10-01 19:21:19,583][launcher][INFO] - ََAllocating process launcher -[2024-10-01 19:21:19,583][process][INFO] - + Setting multiprocessing start method to spawn. -[2024-10-01 19:21:19,594][device-isolation][INFO] - + Launched device(s) isolation process 66 -[2024-10-01 19:21:19,595][device-isolation][INFO] - + Isolating device(s) [0] -[2024-10-01 19:21:19,602][process][INFO] - + Launched benchmark in isolated process 67. -[PROC-0][2024-10-01 19:21:22,226][datasets][INFO] - PyTorch version 2.4.0 available. -[PROC-0][2024-10-01 19:21:23,166][backend][INFO] - َAllocating pytorch backend -[PROC-0][2024-10-01 19:21:23,166][backend][INFO] - + Setting random seed to 42 -[PROC-0][2024-10-01 19:21:24,202][pytorch][INFO] - + Using AutoModel class AutoModelForSequenceClassification -[PROC-0][2024-10-01 19:21:24,202][pytorch][INFO] - + Creating backend temporary directory -[PROC-0][2024-10-01 19:21:24,202][pytorch][INFO] - + Loading model with random weights -[PROC-0][2024-10-01 19:21:24,202][pytorch][INFO] - + Creating no weights model -[PROC-0][2024-10-01 19:21:24,202][pytorch][INFO] - + Creating no weights model directory -[PROC-0][2024-10-01 19:21:24,203][pytorch][INFO] - + Creating no weights model state dict -[PROC-0][2024-10-01 19:21:24,205][pytorch][INFO] - + Saving no weights model safetensors -[PROC-0][2024-10-01 19:21:24,205][pytorch][INFO] - + Saving no weights model pretrained config -[PROC-0][2024-10-01 19:21:24,206][pytorch][INFO] - + Loading no weights AutoModel -[PROC-0][2024-10-01 19:21:24,206][pytorch][INFO] - + Loading model directly on device: cuda -[PROC-0][2024-10-01 19:21:24,479][pytorch][INFO] - + Turning on model's eval mode -[PROC-0][2024-10-01 19:21:24,485][benchmark][INFO] - Allocating energy_star benchmark -[PROC-0][2024-10-01 19:21:24,485][energy_star][INFO] - + Loading raw dataset -[PROC-0][2024-10-01 19:21:25,223][energy_star][INFO] - + Initializing Inference report -[PROC-0][2024-10-01 19:21:25,223][energy][INFO] - + Tracking GPU energy on devices [0] -[PROC-0][2024-10-01 19:21:29,422][energy_star][INFO] - + Preprocessing dataset -[PROC-0][2024-10-01 19:21:29,850][energy][INFO] - + Saving codecarbon emission data to preprocess_codecarbon.json -[PROC-0][2024-10-01 19:21:29,853][energy_star][INFO] - + Preparing backend for Inference -[PROC-0][2024-10-01 19:21:29,853][energy_star][INFO] - + Initialising dataloader -[PROC-0][2024-10-01 19:21:29,854][energy_star][INFO] - + Warming up backend for Inference -[PROC-0][2024-10-01 19:21:30,349][energy_star][INFO] - + Running Inference energy tracking for 10 iterations -[PROC-0][2024-10-01 19:21:30,349][energy_star][INFO] - + Iteration 1/10 -[PROC-0][2024-10-01 19:21:34,378][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json -[PROC-0][2024-10-01 19:21:34,380][energy_star][INFO] - + Iteration 2/10 -[PROC-0][2024-10-01 19:21:38,397][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json -[PROC-0][2024-10-01 19:21:38,401][energy_star][INFO] - + Iteration 3/10 -[PROC-0][2024-10-01 19:21:42,418][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json -[PROC-0][2024-10-01 19:21:42,421][energy_star][INFO] - + Iteration 4/10 -[PROC-0][2024-10-01 19:21:46,404][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json -[PROC-0][2024-10-01 19:21:46,407][energy_star][INFO] - + Iteration 5/10 -[PROC-0][2024-10-01 19:21:50,445][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json -[PROC-0][2024-10-01 19:21:50,448][energy_star][INFO] - + Iteration 6/10 -[PROC-0][2024-10-01 19:21:54,425][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json -[PROC-0][2024-10-01 19:21:54,427][energy_star][INFO] - + Iteration 7/10 -[PROC-0][2024-10-01 19:21:58,411][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json -[PROC-0][2024-10-01 19:21:58,414][energy_star][INFO] - + Iteration 8/10 -[PROC-0][2024-10-01 19:22:02,438][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json -[PROC-0][2024-10-01 19:22:02,442][energy_star][INFO] - + Iteration 9/10 -[PROC-0][2024-10-01 19:22:06,509][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json -[PROC-0][2024-10-01 19:22:06,512][energy_star][INFO] - + Iteration 10/10 -[PROC-0][2024-10-01 19:22:10,527][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json -[PROC-0][2024-10-01 19:22:10,530][energy][INFO] - + forward energy consumption: -[PROC-0][2024-10-01 19:22:10,530][energy][INFO] - + CPU: 0.000043 (kWh) -[PROC-0][2024-10-01 19:22:10,530][energy][INFO] - + GPU: 0.000168 (kWh) -[PROC-0][2024-10-01 19:22:10,530][energy][INFO] - + RAM: 0.000000 (kWh) -[PROC-0][2024-10-01 19:22:10,530][energy][INFO] - + total: 0.000211 (kWh) -[PROC-0][2024-10-01 19:22:10,530][energy][INFO] - + forward_iteration_1 energy consumption: -[PROC-0][2024-10-01 19:22:10,530][energy][INFO] - + CPU: 0.000048 (kWh) -[PROC-0][2024-10-01 19:22:10,530][energy][INFO] - + GPU: 0.000185 (kWh) -[PROC-0][2024-10-01 19:22:10,530][energy][INFO] - + RAM: 0.000000 (kWh) -[PROC-0][2024-10-01 19:22:10,530][energy][INFO] - + total: 0.000233 (kWh) -[PROC-0][2024-10-01 19:22:10,531][energy][INFO] - + forward_iteration_2 energy consumption: -[PROC-0][2024-10-01 19:22:10,531][energy][INFO] - + CPU: 0.000047 (kWh) -[PROC-0][2024-10-01 19:22:10,531][energy][INFO] - + GPU: 0.000183 (kWh) -[PROC-0][2024-10-01 19:22:10,531][energy][INFO] - + RAM: 0.000000 (kWh) -[PROC-0][2024-10-01 19:22:10,531][energy][INFO] - + total: 0.000231 (kWh) -[PROC-0][2024-10-01 19:22:10,531][energy][INFO] - + forward_iteration_3 energy consumption: -[PROC-0][2024-10-01 19:22:10,531][energy][INFO] - + CPU: 0.000047 (kWh) -[PROC-0][2024-10-01 19:22:10,531][energy][INFO] - + GPU: 0.000184 (kWh) -[PROC-0][2024-10-01 19:22:10,531][energy][INFO] - + RAM: 0.000000 (kWh) -[PROC-0][2024-10-01 19:22:10,531][energy][INFO] - + total: 0.000232 (kWh) -[PROC-0][2024-10-01 19:22:10,532][energy][INFO] - + forward_iteration_4 energy consumption: -[PROC-0][2024-10-01 19:22:10,532][energy][INFO] - + CPU: 0.000047 (kWh) -[PROC-0][2024-10-01 19:22:10,532][energy][INFO] - + GPU: 0.000186 (kWh) -[PROC-0][2024-10-01 19:22:10,532][energy][INFO] - + RAM: 0.000000 (kWh) -[PROC-0][2024-10-01 19:22:10,532][energy][INFO] - + total: 0.000234 (kWh) -[PROC-0][2024-10-01 19:22:10,532][energy][INFO] - + forward_iteration_5 energy consumption: -[PROC-0][2024-10-01 19:22:10,532][energy][INFO] - + CPU: 0.000048 (kWh) -[PROC-0][2024-10-01 19:22:10,532][energy][INFO] - + GPU: 0.000186 (kWh) -[PROC-0][2024-10-01 19:22:10,532][energy][INFO] - + RAM: 0.000000 (kWh) -[PROC-0][2024-10-01 19:22:10,532][energy][INFO] - + total: 0.000234 (kWh) -[PROC-0][2024-10-01 19:22:10,533][energy][INFO] - + forward_iteration_6 energy consumption: -[PROC-0][2024-10-01 19:22:10,533][energy][INFO] - + CPU: 0.000047 (kWh) -[PROC-0][2024-10-01 19:22:10,533][energy][INFO] - + GPU: 0.000188 (kWh) -[PROC-0][2024-10-01 19:22:10,533][energy][INFO] - + RAM: 0.000000 (kWh) -[PROC-0][2024-10-01 19:22:10,533][energy][INFO] - + total: 0.000236 (kWh) -[PROC-0][2024-10-01 19:22:10,533][energy][INFO] - + forward_iteration_7 energy consumption: -[PROC-0][2024-10-01 19:22:10,533][energy][INFO] - + CPU: 0.000000 (kWh) -[PROC-0][2024-10-01 19:22:10,533][energy][INFO] - + GPU: 0.000000 (kWh) -[PROC-0][2024-10-01 19:22:10,533][energy][INFO] - + RAM: 0.000000 (kWh) -[PROC-0][2024-10-01 19:22:10,533][energy][INFO] - + total: 0.000000 (kWh) -[PROC-0][2024-10-01 19:22:10,534][energy][INFO] - + forward_iteration_8 energy consumption: -[PROC-0][2024-10-01 19:22:10,534][energy][INFO] - + CPU: 0.000047 (kWh) -[PROC-0][2024-10-01 19:22:10,534][energy][INFO] - + GPU: 0.000189 (kWh) -[PROC-0][2024-10-01 19:22:10,534][energy][INFO] - + RAM: 0.000000 (kWh) -[PROC-0][2024-10-01 19:22:10,534][energy][INFO] - + total: 0.000236 (kWh) -[PROC-0][2024-10-01 19:22:10,534][energy][INFO] - + forward_iteration_9 energy consumption: -[PROC-0][2024-10-01 19:22:10,534][energy][INFO] - + CPU: 0.000048 (kWh) -[PROC-0][2024-10-01 19:22:10,534][energy][INFO] - + GPU: 0.000193 (kWh) -[PROC-0][2024-10-01 19:22:10,534][energy][INFO] - + RAM: 0.000000 (kWh) -[PROC-0][2024-10-01 19:22:10,534][energy][INFO] - + total: 0.000241 (kWh) -[PROC-0][2024-10-01 19:22:10,535][energy][INFO] - + forward_iteration_10 energy consumption: -[PROC-0][2024-10-01 19:22:10,535][energy][INFO] - + CPU: 0.000047 (kWh) -[PROC-0][2024-10-01 19:22:10,535][energy][INFO] - + GPU: 0.000189 (kWh) -[PROC-0][2024-10-01 19:22:10,535][energy][INFO] - + RAM: 0.000000 (kWh) -[PROC-0][2024-10-01 19:22:10,535][energy][INFO] - + total: 0.000237 (kWh) -[PROC-0][2024-10-01 19:22:10,535][energy][INFO] - + preprocess energy consumption: -[PROC-0][2024-10-01 19:22:10,535][energy][INFO] - + CPU: 0.000005 (kWh) -[PROC-0][2024-10-01 19:22:10,535][energy][INFO] - + GPU: 0.000008 (kWh) -[PROC-0][2024-10-01 19:22:10,535][energy][INFO] - + RAM: 0.000000 (kWh) -[PROC-0][2024-10-01 19:22:10,535][energy][INFO] - + total: 0.000013 (kWh) -[PROC-0][2024-10-01 19:22:10,536][energy][INFO] - + forward energy efficiency: 4730924.470545 (samples/kWh) -[PROC-0][2024-10-01 19:22:10,536][energy][INFO] - + preprocess energy efficiency: 78278560.872894 (samples/kWh) -[2024-10-01 19:22:11,131][device-isolation][INFO] - + Closing device(s) isolation process... -[2024-10-01 19:22:11,179][datasets][INFO] - PyTorch version 2.4.0 available. diff --git a/text_classification/lvwerra/distilbert-imdb/2024-10-01-19-21-19/experiment_config.json b/text_classification/lvwerra/distilbert-imdb/2024-10-01-19-21-19/experiment_config.json deleted file mode 100644 index 772aa352d839018f6caa9107fd24acf54618c6aa..0000000000000000000000000000000000000000 --- a/text_classification/lvwerra/distilbert-imdb/2024-10-01-19-21-19/experiment_config.json +++ /dev/null @@ -1,107 +0,0 @@ -{ - "experiment_name": "text_classification", - "backend": { - "name": "pytorch", - "version": "2.4.0", - "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend", - "task": "text-classification", - "model": "lvwerra/distilbert-imdb", - "processor": "lvwerra/distilbert-imdb", - "library": "transformers", - "device": "cuda", - "device_ids": "0", - "seed": 42, - "inter_op_num_threads": null, - "intra_op_num_threads": null, - "hub_kwargs": { - "revision": "main", - "force_download": false, - "local_files_only": false, - "trust_remote_code": true - }, - "no_weights": true, - "device_map": null, - "torch_dtype": null, - "amp_autocast": false, - "amp_dtype": null, - "eval_mode": true, - "to_bettertransformer": false, - "low_cpu_mem_usage": null, - "attn_implementation": null, - "cache_implementation": null, - "torch_compile": false, - "torch_compile_config": {}, - "quantization_scheme": null, - "quantization_config": {}, - "deepspeed_inference": false, - "deepspeed_inference_config": {}, - "peft_type": null, - "peft_config": {} - }, - "launcher": { - "name": "process", - "_target_": "optimum_benchmark.launchers.process.launcher.ProcessLauncher", - "device_isolation": true, - "device_isolation_action": "warn", - "start_method": "spawn" - }, - "benchmark": { - "name": "energy_star", - "_target_": "optimum_benchmark.benchmarks.energy_star.benchmark.EnergyStarBenchmark", - "dataset_name": "EnergyStarAI/text_classification", - "dataset_config": "", - "dataset_split": "train", - "num_samples": 1000, - "input_shapes": { - "batch_size": 1 - }, - "text_column_name": "text", - "truncation": true, - "max_length": -1, - "dataset_prefix1": "", - "dataset_prefix2": "", - "t5_task": "", - "image_column_name": "image", - "resize": false, - "question_column_name": "question", - "context_column_name": "context", - "sentence1_column_name": "sentence1", - "sentence2_column_name": "sentence2", - "audio_column_name": "audio", - "iterations": 10, - "warmup_runs": 10, - "energy": true, - "forward_kwargs": {}, - "generate_kwargs": {}, - "call_kwargs": {} - }, - "environment": { - 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