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runs/text_generation/a100-large/google/gemma-2-9b-it/2024-10-31-01-46-53/.hydra/config.yaml

@@ -0,0 +1,96 @@
+backend:
+  name: pytorch
+  version: 2.4.0
+  _target_: optimum_benchmark.backends.pytorch.backend.PyTorchBackend
+  task: text-generation
+  model: google/gemma-2-9b-it
+  processor: google/gemma-2-9b-it
+  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: false
+  device_isolation_action: warn
+  start_method: spawn
+benchmark:
+  name: energy_star
+  _target_: optimum_benchmark.benchmarks.energy_star.benchmark.EnergyStarBenchmark
+  dataset_name: EnergyStarAI/text_generation
+  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:
+    max_new_tokens: 10
+    min_new_tokens: 10
+  call_kwargs: {}
+experiment_name: text_generation
+environment:
+  cpu: ' Intel(R) Xeon(R) Platinum 8275CL CPU @ 3.00GHz'
+  cpu_count: 96
+  cpu_ram_mb: 1204529.905664
+  system: Linux
+  machine: x86_64
+  platform: Linux-5.10.223-212.873.amzn2.x86_64-x86_64-with-glibc2.35
+  processor: x86_64
+  python_version: 3.9.20
+  gpu:
+  - NVIDIA A100-SXM4-80GB
+  gpu_count: 1
+  gpu_vram_mb: 85899345920
+  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

runs/text_generation/a100-large/google/gemma-2-9b-it/2024-10-31-01-46-53/.hydra/hydra.yaml

@@ -0,0 +1,175 @@
+hydra:
+  run:
+    dir: /runs/text_generation/a100-large/google/gemma-2-9b-it/2024-10-31-01-46-53
+  sweep:
+    dir: sweeps/${experiment_name}/${backend.model}/${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=/runs/text_generation/a100-large/google/gemma-2-9b-it/2024-10-31-01-46-53
+    - hydra.mode=RUN
+    task:
+    - backend.model=google/gemma-2-9b-it
+    - backend.processor=google/gemma-2-9b-it
+  job:
+    name: cli
+    chdir: true
+    override_dirname: backend.model=google/gemma-2-9b-it,backend.processor=google/gemma-2-9b-it
+    id: ???
+    num: ???
+    config_name: text_generation
+    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: /runs/text_generation/a100-large/google/gemma-2-9b-it/2024-10-31-01-46-53
+    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

runs/text_generation/a100-large/google/gemma-2-9b-it/2024-10-31-01-46-53/.hydra/overrides.yaml

@@ -0,0 +1,2 @@
+- backend.model=google/gemma-2-9b-it
+- backend.processor=google/gemma-2-9b-it

runs/text_generation/a100-large/google/gemma-2-9b-it/2024-10-31-01-46-53/cli.log

@@ -0,0 +1,7 @@
+[2024-10-31 01:46:56,483][launcher][INFO] - ََAllocating process launcher
+[2024-10-31 01:46:56,483][process][INFO] - 	+ Setting multiprocessing start method to spawn.
+[2024-10-31 01:46:56,501][process][INFO] - 	+ Launched benchmark in isolated process 1730.
+[PROC-0][2024-10-31 01:46:59,507][datasets][INFO] - PyTorch version 2.4.0 available.
+[PROC-0][2024-10-31 01:47:00,510][backend][INFO] - َAllocating pytorch backend
+[PROC-0][2024-10-31 01:47:00,510][backend][INFO] - 	+ Setting random seed to 42
+[2024-10-31 01:47:01,438][experiment][ERROR] - Error during experiment

runs/text_generation/a100-large/google/gemma-2-9b-it/2024-10-31-01-46-53/error.log

@@ -0,0 +1,86 @@
+Error executing job with overrides: ['backend.model=google/gemma-2-9b-it', 'backend.processor=google/gemma-2-9b-it']
+Traceback (most recent call last):
+  File "/optimum-benchmark/optimum_benchmark/cli.py", line 65, in benchmark_cli
+    benchmark_report: BenchmarkReport = launch(experiment_config=experiment_config)
+  File "/optimum-benchmark/optimum_benchmark/experiment.py", line 102, in launch
+    raise error
+  File "/optimum-benchmark/optimum_benchmark/experiment.py", line 90, in launch
+    report = launcher.launch(run, experiment_config.benchmark, experiment_config.backend)
+  File "/optimum-benchmark/optimum_benchmark/launchers/process/launcher.py", line 47, in launch
+    while not process_context.join():
+  File "/opt/conda/lib/python3.9/site-packages/torch/multiprocessing/spawn.py", line 189, in join
+    raise ProcessRaisedException(msg, error_index, failed_process.pid)
+torch.multiprocessing.spawn.ProcessRaisedException: 
+
+-- Process 0 terminated with the following error:
+Traceback (most recent call last):
+  File "/opt/conda/lib/python3.9/site-packages/huggingface_hub/utils/_errors.py", line 304, in hf_raise_for_status
+    response.raise_for_status()
+  File "/opt/conda/lib/python3.9/site-packages/requests/models.py", line 1024, in raise_for_status
+    raise HTTPError(http_error_msg, response=self)
+requests.exceptions.HTTPError: 403 Client Error: Forbidden for url: https://huggingface.co/google/gemma-2-9b-it/resolve/main/config.json
+
+The above exception was the direct cause of the following exception:
+
+Traceback (most recent call last):
+  File "/opt/conda/lib/python3.9/site-packages/transformers/utils/hub.py", line 402, in cached_file
+    resolved_file = hf_hub_download(
+  File "/opt/conda/lib/python3.9/site-packages/huggingface_hub/utils/_deprecation.py", line 101, in inner_f
+    return f(*args, **kwargs)
+  File "/opt/conda/lib/python3.9/site-packages/huggingface_hub/utils/_validators.py", line 114, in _inner_fn
+    return fn(*args, **kwargs)
+  File "/opt/conda/lib/python3.9/site-packages/huggingface_hub/file_download.py", line 1240, in hf_hub_download
+    return _hf_hub_download_to_cache_dir(
+  File "/opt/conda/lib/python3.9/site-packages/huggingface_hub/file_download.py", line 1347, in _hf_hub_download_to_cache_dir
+    _raise_on_head_call_error(head_call_error, force_download, local_files_only)
+  File "/opt/conda/lib/python3.9/site-packages/huggingface_hub/file_download.py", line 1854, in _raise_on_head_call_error
+    raise head_call_error
+  File "/opt/conda/lib/python3.9/site-packages/huggingface_hub/file_download.py", line 1751, in _get_metadata_or_catch_error
+    metadata = get_hf_file_metadata(
+  File "/opt/conda/lib/python3.9/site-packages/huggingface_hub/utils/_validators.py", line 114, in _inner_fn
+    return fn(*args, **kwargs)
+  File "/opt/conda/lib/python3.9/site-packages/huggingface_hub/file_download.py", line 1673, in get_hf_file_metadata
+    r = _request_wrapper(
+  File "/opt/conda/lib/python3.9/site-packages/huggingface_hub/file_download.py", line 376, in _request_wrapper
+    response = _request_wrapper(
+  File "/opt/conda/lib/python3.9/site-packages/huggingface_hub/file_download.py", line 400, in _request_wrapper
+    hf_raise_for_status(response)
+  File "/opt/conda/lib/python3.9/site-packages/huggingface_hub/utils/_errors.py", line 321, in hf_raise_for_status
+    raise GatedRepoError(message, response) from e
+huggingface_hub.utils._errors.GatedRepoError: 403 Client Error. (Request ID: Root=1-6722e194-4007a0517a59c5f35f49c3c4;79e10e4d-6496-4a2c-8370-32e5f7ed6e79)
+
+Cannot access gated repo for url https://huggingface.co/google/gemma-2-9b-it/resolve/main/config.json.
+Your request to access model google/gemma-2-9b-it is awaiting a review from the repo authors.
+
+The above exception was the direct cause of the following exception:
+
+Traceback (most recent call last):
+  File "/opt/conda/lib/python3.9/site-packages/torch/multiprocessing/spawn.py", line 76, in _wrap
+    fn(i, *args)
+  File "/optimum-benchmark/optimum_benchmark/launchers/process/launcher.py", line 63, in entrypoint
+    worker_output = worker(*worker_args)
+  File "/optimum-benchmark/optimum_benchmark/experiment.py", line 55, in run
+    backend: Backend = backend_factory(backend_config)
+  File "/optimum-benchmark/optimum_benchmark/backends/pytorch/backend.py", line 45, in __init__
+    super().__init__(config)
+  File "/optimum-benchmark/optimum_benchmark/backends/base.py", line 65, in __init__
+    self.pretrained_config = get_transformers_pretrained_config(self.config.model, **self.config.hub_kwargs)
+  File "/optimum-benchmark/optimum_benchmark/backends/transformers_utils.py", line 27, in get_transformers_pretrained_config
+    return AutoConfig.from_pretrained(model, **kwargs)
+  File "/opt/conda/lib/python3.9/site-packages/transformers/models/auto/configuration_auto.py", line 976, in from_pretrained
+    config_dict, unused_kwargs = PretrainedConfig.get_config_dict(pretrained_model_name_or_path, **kwargs)
+  File "/opt/conda/lib/python3.9/site-packages/transformers/configuration_utils.py", line 632, in get_config_dict
+    config_dict, kwargs = cls._get_config_dict(pretrained_model_name_or_path, **kwargs)
+  File "/opt/conda/lib/python3.9/site-packages/transformers/configuration_utils.py", line 689, in _get_config_dict
+    resolved_config_file = cached_file(
+  File "/opt/conda/lib/python3.9/site-packages/transformers/utils/hub.py", line 420, in cached_file
+    raise EnvironmentError(
+OSError: You are trying to access a gated repo.
+Make sure to have access to it at https://huggingface.co/google/gemma-2-9b-it.
+403 Client Error. (Request ID: Root=1-6722e194-4007a0517a59c5f35f49c3c4;79e10e4d-6496-4a2c-8370-32e5f7ed6e79)
+
+Cannot access gated repo for url https://huggingface.co/google/gemma-2-9b-it/resolve/main/config.json.
+Your request to access model google/gemma-2-9b-it is awaiting a review from the repo authors.
+
+
+Set the environment variable HYDRA_FULL_ERROR=1 for a complete stack trace.

runs/text_generation/a100-large/google/gemma-2-9b-it/2024-10-31-01-46-53/experiment_config.json

@@ -0,0 +1,110 @@
+{
+    "experiment_name": "text_generation",
+    "backend": {
+        "name": "pytorch",
+        "version": "2.4.0",
+        "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
+        "task": "text-generation",
+        "model": "google/gemma-2-9b-it",
+        "processor": "google/gemma-2-9b-it",
+        "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": false,
+        "device_isolation_action": "warn",
+        "start_method": "spawn"
+    },
+    "benchmark": {
+        "name": "energy_star",
+        "_target_": "optimum_benchmark.benchmarks.energy_star.benchmark.EnergyStarBenchmark",
+        "dataset_name": "EnergyStarAI/text_generation",
+        "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": {
+            "max_new_tokens": 10,
+            "min_new_tokens": 10
+        },
+        "call_kwargs": {}
+    },
+    "environment": {
+        "cpu": " Intel(R) Xeon(R) Platinum 8275CL CPU @ 3.00GHz",
+        "cpu_count": 96,
+        "cpu_ram_mb": 1204529.905664,
+        "system": "Linux",
+        "machine": "x86_64",
+        "platform": "Linux-5.10.223-212.873.amzn2.x86_64-x86_64-with-glibc2.35",
+        "processor": "x86_64",
+        "python_version": "3.9.20",
+        "gpu": [
+            "NVIDIA A100-SXM4-80GB"
+        ],
+        "gpu_count": 1,
+        "gpu_vram_mb": 85899345920,
+        "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
+    }
+}