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text_generation/hugging-quants/Meta-Llama-3.1-8B-Instruct-GPTQ-INT4/2024-11-20-18-50-54/.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: hugging-quants/Meta-Llama-3.1-8B-Instruct-GPTQ-INT4
+  processor: hugging-quants/Meta-Llama-3.1-8B-Instruct-GPTQ-INT4
+  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: ' 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

text_generation/hugging-quants/Meta-Llama-3.1-8B-Instruct-GPTQ-INT4/2024-11-20-18-50-54/.hydra/hydra.yaml

@@ -0,0 +1,175 @@
+hydra:
+  run:
+    dir: /runs/text_generation/hugging-quants/Meta-Llama-3.1-8B-Instruct-GPTQ-INT4/2024-11-20-18-50-54
+  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/hugging-quants/Meta-Llama-3.1-8B-Instruct-GPTQ-INT4/2024-11-20-18-50-54
+    - hydra.mode=RUN
+    task:
+    - backend.model=hugging-quants/Meta-Llama-3.1-8B-Instruct-GPTQ-INT4
+    - backend.processor=hugging-quants/Meta-Llama-3.1-8B-Instruct-GPTQ-INT4
+  job:
+    name: cli
+    chdir: true
+    override_dirname: backend.model=hugging-quants/Meta-Llama-3.1-8B-Instruct-GPTQ-INT4,backend.processor=hugging-quants/Meta-Llama-3.1-8B-Instruct-GPTQ-INT4
+    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/hugging-quants/Meta-Llama-3.1-8B-Instruct-GPTQ-INT4/2024-11-20-18-50-54
+    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

text_generation/hugging-quants/Meta-Llama-3.1-8B-Instruct-GPTQ-INT4/2024-11-20-18-50-54/.hydra/overrides.yaml

@@ -0,0 +1,2 @@
+- backend.model=hugging-quants/Meta-Llama-3.1-8B-Instruct-GPTQ-INT4
+- backend.processor=hugging-quants/Meta-Llama-3.1-8B-Instruct-GPTQ-INT4

text_generation/hugging-quants/Meta-Llama-3.1-8B-Instruct-GPTQ-INT4/2024-11-20-18-50-54/cli.log

@@ -0,0 +1,20 @@
+[2024-11-20 18:50:56,849][launcher][INFO] - ََAllocating process launcher
+[2024-11-20 18:50:56,849][process][INFO] - 	+ Setting multiprocessing start method to spawn.
+[2024-11-20 18:50:56,859][process][INFO] - 	+ Launched benchmark in isolated process 180.
+[PROC-0][2024-11-20 18:50:59,406][datasets][INFO] - PyTorch version 2.4.0 available.
+[PROC-0][2024-11-20 18:51:00,366][backend][INFO] - َAllocating pytorch backend
+[PROC-0][2024-11-20 18:51:00,366][backend][INFO] - 	+ Setting random seed to 42
+[PROC-0][2024-11-20 18:51:01,270][pytorch][INFO] - 	+ Using AutoModel class AutoModelForCausalLM
+[PROC-0][2024-11-20 18:51:01,270][pytorch][INFO] - 	+ Processing quantization config
+[PROC-0][2024-11-20 18:51:01,270][pytorch][INFO] - 	+ Processing GPTQ config
+[PROC-0][2024-11-20 18:51:01,270][pytorch][INFO] - 	+ Creating backend temporary directory
+[PROC-0][2024-11-20 18:51:01,270][pytorch][INFO] - 	+ Loading model with random weights
+[PROC-0][2024-11-20 18:51:01,270][pytorch][INFO] - 	+ Creating no weights model
+[PROC-0][2024-11-20 18:51:01,270][pytorch][INFO] - 	+ Creating no weights model directory
+[PROC-0][2024-11-20 18:51:01,271][pytorch][INFO] - 	+ Creating no weights model state dict
+[PROC-0][2024-11-20 18:51:01,294][pytorch][INFO] - 	+ Saving no weights model safetensors
+[PROC-0][2024-11-20 18:51:01,294][pytorch][INFO] - 	+ Adding quantization config to no weights model's pretrained config
+[PROC-0][2024-11-20 18:51:01,294][pytorch][INFO] - 	+ Saving no weights model pretrained config
+[PROC-0][2024-11-20 18:51:01,295][pytorch][INFO] - 	+ Loading no weights AutoModel
+[PROC-0][2024-11-20 18:51:01,295][pytorch][INFO] - 	+ Loading Quantized model
+[2024-11-20 18:51:01,969][experiment][ERROR] - Error during experiment

text_generation/hugging-quants/Meta-Llama-3.1-8B-Instruct-GPTQ-INT4/2024-11-20-18-50-54/error.log

@@ -0,0 +1,42 @@
+/opt/conda/lib/python3.9/site-packages/transformers/quantizers/auto.py:174: UserWarning: You passed `quantization_config` or equivalent parameters to `from_pretrained` but the model you're loading already has a `quantization_config` attribute. The `quantization_config` from the model will be used.However, loading attributes (e.g. ['use_cuda_fp16', 'use_exllama', 'max_input_length', 'exllama_config', 'disable_exllama']) will be overwritten with the one you passed to `from_pretrained`. The rest will be ignored.
+  warnings.warn(warning_msg)
+Error executing job with overrides: ['backend.model=hugging-quants/Meta-Llama-3.1-8B-Instruct-GPTQ-INT4', 'backend.processor=hugging-quants/Meta-Llama-3.1-8B-Instruct-GPTQ-INT4']
+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/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 81, in __init__
+    self.load_model_with_no_weights()
+  File "/optimum-benchmark/optimum_benchmark/backends/pytorch/backend.py", line 246, in load_model_with_no_weights
+    self.load_model_from_pretrained()
+  File "/optimum-benchmark/optimum_benchmark/backends/pytorch/backend.py", line 186, in load_model_from_pretrained
+    self.pretrained_model = self.automodel_class.from_pretrained(
+  File "/opt/conda/lib/python3.9/site-packages/transformers/models/auto/auto_factory.py", line 564, in from_pretrained
+    return model_class.from_pretrained(
+  File "/opt/conda/lib/python3.9/site-packages/transformers/modeling_utils.py", line 3371, in from_pretrained
+    hf_quantizer = AutoHfQuantizer.from_config(config.quantization_config, pre_quantized=pre_quantized)
+  File "/opt/conda/lib/python3.9/site-packages/transformers/quantizers/auto.py", line 136, in from_config
+    return target_cls(quantization_config, **kwargs)
+  File "/opt/conda/lib/python3.9/site-packages/transformers/quantizers/quantizer_gptq.py", line 47, in __init__
+    from optimum.gptq import GPTQQuantizer
+ModuleNotFoundError: No module named 'optimum'
+
+
+Set the environment variable HYDRA_FULL_ERROR=1 for a complete stack trace.

text_generation/hugging-quants/Meta-Llama-3.1-8B-Instruct-GPTQ-INT4/2024-11-20-18-50-54/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": "hugging-quants/Meta-Llama-3.1-8B-Instruct-GPTQ-INT4",
+        "processor": "hugging-quants/Meta-Llama-3.1-8B-Instruct-GPTQ-INT4",
+        "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": " 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
+    }
+}