Adding regression benchmark for the transformers SHA a8531f3bfd3c1dd63392c8c0c470c6744c8969ae

raw_results/2023-09-26_08:11:28_a8531f3bfd3c1dd63392c8c0c470c6744c8969ae/bert_1gpu_training/0/.config/config.yaml

@@ -0,0 +1,75 @@
+backend:
+  name: pytorch
+  version: ${pytorch_version:}
+  _target_: optimum_benchmark.backends.pytorch.backend.PyTorchBackend
+  seed: 42
+  inter_op_num_threads: null
+  intra_op_num_threads: null
+  initial_isolation_check: false
+  continous_isolation_check: false
+  delete_cache: false
+  no_weights: false
+  device_map: null
+  torch_dtype: float16
+  disable_grad: ${is_inference:${benchmark.name}}
+  eval_mode: ${is_inference:${benchmark.name}}
+  amp_autocast: false
+  amp_dtype: null
+  torch_compile: false
+  torch_compile_config: {}
+  bettertransformer: false
+  quantization_scheme: null
+  quantization_config: {}
+  use_ddp: false
+  ddp_config: {}
+  peft_strategy: null
+  peft_config: {}
+benchmark:
+  name: training
+  _target_: optimum_benchmark.benchmarks.training.benchmark.TrainingBenchmark
+  warmup_steps: 40
+  dataset_shapes:
+    dataset_size: 1500
+    sequence_length: 256
+    num_choices: 1
+    feature_size: 80
+    nb_max_frames: 3000
+    audio_sequence_length: 16000
+  training_arguments:
+    skip_memory_metrics: true
+    output_dir: ./trainer_output
+    use_cpu: ${is_cpu:${device}}
+    ddp_find_unused_parameters: false
+    do_train: true
+    do_eval: false
+    do_predict: false
+    report_to: none
+    per_device_train_batch_size: 32
+experiment_name: bert_1gpu_training
+model: bert-base-uncased
+device: cuda
+task: text-classification
+hub_kwargs:
+  revision: main
+  cache_dir: null
+  force_download: false
+  local_files_only: false
+environment:
+  optimum_version: 1.13.1
+  transformers_version: 4.34.0.dev0
+  accelerate_version: 0.23.0
+  diffusers_version: null
+  python_version: 3.10.12
+  system: Linux
+  cpu: ' AMD EPYC 7643 48-Core Processor'
+  cpu_count: 96
+  cpu_ram_mb: 1082028
+  gpus:
+  - Instinct MI210
+  - Instinct MI210
+  - Instinct MI210
+  - Instinct MI210
+  - Instinct MI210
+  - Instinct MI210
+  - Instinct MI210
+  - Instinct MI210

raw_results/2023-09-26_08:11:28_a8531f3bfd3c1dd63392c8c0c470c6744c8969ae/bert_1gpu_training/0/.config/hydra.yaml

@@ -0,0 +1,174 @@
+hydra:
+  run:
+    dir: runs/${oc.env:COMMIT_DATE_GMT}_${oc.env:COMMIT_SHA}/${experiment_name}
+  sweep:
+    dir: sweeps/${oc.env:COMMIT_DATE_GMT}_${oc.env:COMMIT_SHA}/${experiment_name}
+    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:
+      +benchmark.training_arguments.per_device_train_batch_size: '32'
+      backend.torch_dtype: float16,float32
+  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: MULTIRUN
+  searchpath: []
+  callbacks: {}
+  output_subdir: .hydra
+  overrides:
+    hydra:
+    - hydra.mode=MULTIRUN
+    task:
+    - +benchmark.training_arguments.per_device_train_batch_size=32
+    - backend.torch_dtype=float16
+  job:
+    name: experiment
+    chdir: true
+    override_dirname: +benchmark.training_arguments.per_device_train_batch_size=32,backend.torch_dtype=float16
+    id: '0'
+    num: 0
+    config_name: bert_1gpu_training
+    env_set: {}
+    env_copy: []
+    config:
+      override_dirname:
+        kv_sep: '='
+        item_sep: ','
+        exclude_keys: []
+  runtime:
+    version: 1.3.2
+    version_base: '1.3'
+    cwd: /home/user/transformers-regression
+    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: /home/user/transformers-regression/configs
+      schema: file
+      provider: command-line
+    - path: ''
+      schema: structured
+      provider: schema
+    output_dir: /home/user/transformers-regression/sweeps/2023-09-26_08:11:28_a8531f3bfd3c1dd63392c8c0c470c6744c8969ae/bert_1gpu_training/0
+    choices:
+      benchmark: training
+      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

raw_results/2023-09-26_08:11:28_a8531f3bfd3c1dd63392c8c0c470c6744c8969ae/bert_1gpu_training/0/.config/overrides.yaml

@@ -0,0 +1,2 @@
+- +benchmark.training_arguments.per_device_train_batch_size=32
+- backend.torch_dtype=float16

raw_results/2023-09-26_08:11:28_a8531f3bfd3c1dd63392c8c0c470c6744c8969ae/bert_1gpu_training/0/experiment.log

@@ -0,0 +1,15 @@
+[2023-09-27 12:38:48,616][experiment][WARNING] - Multiple GPUs detected but CUDA_DEVICE_ORDER is not set. This means that code might allocate resources from the wrong GPUs even if CUDA_VISIBLE_DEVICES is set. Pytorch uses the `FASTEST_FIRST` order by default, which is not guaranteed to be the same as nvidia-smi. `CUDA_DEVICE_ORDER` will be set to `PCI_BUS_ID` to ensure that the GPUs are allocated in the same order as nvidia-smi. 
+[2023-09-27 12:38:51,108][pytorch][INFO] - 	+ Inferred AutoModel class AutoModelForSequenceClassification for task text-classification and model_type bert
+[2023-09-27 12:38:51,109][backend][INFO] - Configuring pytorch backend
+[2023-09-27 12:38:51,111][pytorch][INFO] - 	+ Loading model on device: cuda
+[2023-09-27 12:38:51,818][benchmark][INFO] - Configuring training benchmark
+[2023-09-27 12:38:51,818][training][INFO] - Running training benchmark
+[2023-09-27 12:38:51,818][dataset_generator][INFO] - Using text-classification task generator
+[2023-09-27 12:38:51,867][pytorch][INFO] - 	+ Setting dataset format to `torch`.
+[2023-09-27 12:38:51,867][pytorch][INFO] - 	+ Wrapping training arguments with transformers.TrainingArguments
+[2023-09-27 12:38:51,868][pytorch][INFO] - 	+ Wrapping model with transformers.Trainer
+[2023-09-27 12:38:51,872][pytorch][INFO] - 	+ Starting training
+[2023-09-27 12:39:07,922][pytorch][INFO] - 	+ Training finished successfully
+[2023-09-27 12:39:07,923][training][INFO] - Saving training results
+[2023-09-27 12:39:07,926][backend][INFO] - Cleaning pytorch backend
+[2023-09-27 12:39:07,926][backend][INFO] - 	+ Deleting pretrained model

raw_results/2023-09-26_08:11:28_a8531f3bfd3c1dd63392c8c0c470c6744c8969ae/bert_1gpu_training/0/hydra_config.yaml

@@ -0,0 +1,75 @@
+backend:
+  name: pytorch
+  version: 2.1.0+rocm5.6
+  _target_: optimum_benchmark.backends.pytorch.backend.PyTorchBackend
+  seed: 42
+  inter_op_num_threads: null
+  intra_op_num_threads: null
+  initial_isolation_check: false
+  continous_isolation_check: false
+  delete_cache: false
+  no_weights: false
+  device_map: null
+  torch_dtype: float16
+  disable_grad: false
+  eval_mode: false
+  amp_autocast: false
+  amp_dtype: null
+  torch_compile: false
+  torch_compile_config: {}
+  bettertransformer: false
+  quantization_scheme: null
+  quantization_config: {}
+  use_ddp: false
+  ddp_config: {}
+  peft_strategy: null
+  peft_config: {}
+benchmark:
+  name: training
+  _target_: optimum_benchmark.benchmarks.training.benchmark.TrainingBenchmark
+  warmup_steps: 40
+  dataset_shapes:
+    dataset_size: 1500
+    sequence_length: 256
+    num_choices: 1
+    feature_size: 80
+    nb_max_frames: 3000
+    audio_sequence_length: 16000
+  training_arguments:
+    skip_memory_metrics: true
+    output_dir: ./trainer_output
+    use_cpu: false
+    ddp_find_unused_parameters: false
+    do_train: true
+    do_eval: false
+    do_predict: false
+    report_to: none
+    per_device_train_batch_size: 32
+experiment_name: bert_1gpu_training
+model: bert-base-uncased
+device: cuda
+task: text-classification
+hub_kwargs:
+  revision: main
+  cache_dir: null
+  force_download: false
+  local_files_only: false
+environment:
+  optimum_version: 1.13.1
+  transformers_version: 4.34.0.dev0
+  accelerate_version: 0.23.0
+  diffusers_version: null
+  python_version: 3.10.12
+  system: Linux
+  cpu: ' AMD EPYC 7643 48-Core Processor'
+  cpu_count: 96
+  cpu_ram_mb: 1082028
+  gpus:
+  - Instinct MI210
+  - Instinct MI210
+  - Instinct MI210
+  - Instinct MI210
+  - Instinct MI210
+  - Instinct MI210
+  - Instinct MI210
+  - Instinct MI210

raw_results/2023-09-26_08:11:28_a8531f3bfd3c1dd63392c8c0c470c6744c8969ae/bert_1gpu_training/0/training_results.csv

@@ -0,0 +1,2 @@
+warmup.runtime(s),warmup.throughput(samples/s),training.runtime(s),training.throughput(samples/s),overall_training.runtime(s),overall_training.throughput(samples/s)
+4.90168833732605,261.13451364357053,11.04753828048706,292.55386294597287,15.949228048324585,202.6430364032265

raw_results/2023-09-26_08:11:28_a8531f3bfd3c1dd63392c8c0c470c6744c8969ae/bert_1gpu_training/1/.config/config.yaml

@@ -0,0 +1,75 @@
+backend:
+  name: pytorch
+  version: ${pytorch_version:}
+  _target_: optimum_benchmark.backends.pytorch.backend.PyTorchBackend
+  seed: 42
+  inter_op_num_threads: null
+  intra_op_num_threads: null
+  initial_isolation_check: false
+  continous_isolation_check: false
+  delete_cache: false
+  no_weights: false
+  device_map: null
+  torch_dtype: float32
+  disable_grad: ${is_inference:${benchmark.name}}
+  eval_mode: ${is_inference:${benchmark.name}}
+  amp_autocast: false
+  amp_dtype: null
+  torch_compile: false
+  torch_compile_config: {}
+  bettertransformer: false
+  quantization_scheme: null
+  quantization_config: {}
+  use_ddp: false
+  ddp_config: {}
+  peft_strategy: null
+  peft_config: {}
+benchmark:
+  name: training
+  _target_: optimum_benchmark.benchmarks.training.benchmark.TrainingBenchmark
+  warmup_steps: 40
+  dataset_shapes:
+    dataset_size: 1500
+    sequence_length: 256
+    num_choices: 1
+    feature_size: 80
+    nb_max_frames: 3000
+    audio_sequence_length: 16000
+  training_arguments:
+    skip_memory_metrics: true
+    output_dir: ./trainer_output
+    use_cpu: ${is_cpu:${device}}
+    ddp_find_unused_parameters: false
+    do_train: true
+    do_eval: false
+    do_predict: false
+    report_to: none
+    per_device_train_batch_size: 32
+experiment_name: bert_1gpu_training
+model: bert-base-uncased
+device: cuda
+task: text-classification
+hub_kwargs:
+  revision: main
+  cache_dir: null
+  force_download: false
+  local_files_only: false
+environment:
+  optimum_version: 1.13.1
+  transformers_version: 4.34.0.dev0
+  accelerate_version: 0.23.0
+  diffusers_version: null
+  python_version: 3.10.12
+  system: Linux
+  cpu: ' AMD EPYC 7643 48-Core Processor'
+  cpu_count: 96
+  cpu_ram_mb: 1082028
+  gpus:
+  - Instinct MI210
+  - Instinct MI210
+  - Instinct MI210
+  - Instinct MI210
+  - Instinct MI210
+  - Instinct MI210
+  - Instinct MI210
+  - Instinct MI210

raw_results/2023-09-26_08:11:28_a8531f3bfd3c1dd63392c8c0c470c6744c8969ae/bert_1gpu_training/1/.config/hydra.yaml

@@ -0,0 +1,174 @@
+hydra:
+  run:
+    dir: runs/${oc.env:COMMIT_DATE_GMT}_${oc.env:COMMIT_SHA}/${experiment_name}
+  sweep:
+    dir: sweeps/${oc.env:COMMIT_DATE_GMT}_${oc.env:COMMIT_SHA}/${experiment_name}
+    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:
+      +benchmark.training_arguments.per_device_train_batch_size: '32'
+      backend.torch_dtype: float16,float32
+  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: MULTIRUN
+  searchpath: []
+  callbacks: {}
+  output_subdir: .hydra
+  overrides:
+    hydra:
+    - hydra.mode=MULTIRUN
+    task:
+    - +benchmark.training_arguments.per_device_train_batch_size=32
+    - backend.torch_dtype=float32
+  job:
+    name: experiment
+    chdir: true
+    override_dirname: +benchmark.training_arguments.per_device_train_batch_size=32,backend.torch_dtype=float32
+    id: '1'
+    num: 1
+    config_name: bert_1gpu_training
+    env_set: {}
+    env_copy: []
+    config:
+      override_dirname:
+        kv_sep: '='
+        item_sep: ','
+        exclude_keys: []
+  runtime:
+    version: 1.3.2
+    version_base: '1.3'
+    cwd: /home/user/transformers-regression
+    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: /home/user/transformers-regression/configs
+      schema: file
+      provider: command-line
+    - path: ''
+      schema: structured
+      provider: schema
+    output_dir: /home/user/transformers-regression/sweeps/2023-09-26_08:11:28_a8531f3bfd3c1dd63392c8c0c470c6744c8969ae/bert_1gpu_training/1
+    choices:
+      benchmark: training
+      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

raw_results/2023-09-26_08:11:28_a8531f3bfd3c1dd63392c8c0c470c6744c8969ae/bert_1gpu_training/1/.config/overrides.yaml

@@ -0,0 +1,2 @@
+- +benchmark.training_arguments.per_device_train_batch_size=32
+- backend.torch_dtype=float32

raw_results/2023-09-26_08:11:28_a8531f3bfd3c1dd63392c8c0c470c6744c8969ae/bert_1gpu_training/1/experiment.log

@@ -0,0 +1,14 @@
+[2023-09-27 12:39:09,538][pytorch][INFO] - 	+ Inferred AutoModel class AutoModelForSequenceClassification for task text-classification and model_type bert
+[2023-09-27 12:39:09,538][backend][INFO] - Configuring pytorch backend
+[2023-09-27 12:39:09,539][pytorch][INFO] - 	+ Loading model on device: cuda
+[2023-09-27 12:39:09,947][benchmark][INFO] - Configuring training benchmark
+[2023-09-27 12:39:09,947][training][INFO] - Running training benchmark
+[2023-09-27 12:39:09,947][dataset_generator][INFO] - Using text-classification task generator
+[2023-09-27 12:39:09,976][pytorch][INFO] - 	+ Setting dataset format to `torch`.
+[2023-09-27 12:39:09,976][pytorch][INFO] - 	+ Wrapping training arguments with transformers.TrainingArguments
+[2023-09-27 12:39:09,977][pytorch][INFO] - 	+ Wrapping model with transformers.Trainer
+[2023-09-27 12:39:09,981][pytorch][INFO] - 	+ Starting training
+[2023-09-27 12:39:43,504][pytorch][INFO] - 	+ Training finished successfully
+[2023-09-27 12:39:43,505][training][INFO] - Saving training results
+[2023-09-27 12:39:43,506][backend][INFO] - Cleaning pytorch backend
+[2023-09-27 12:39:43,507][backend][INFO] - 	+ Deleting pretrained model

raw_results/2023-09-26_08:11:28_a8531f3bfd3c1dd63392c8c0c470c6744c8969ae/bert_1gpu_training/1/hydra_config.yaml

@@ -0,0 +1,75 @@
+backend:
+  name: pytorch
+  version: 2.1.0+rocm5.6
+  _target_: optimum_benchmark.backends.pytorch.backend.PyTorchBackend
+  seed: 42
+  inter_op_num_threads: null
+  intra_op_num_threads: null
+  initial_isolation_check: false
+  continous_isolation_check: false
+  delete_cache: false
+  no_weights: false
+  device_map: null
+  torch_dtype: float32
+  disable_grad: false
+  eval_mode: false
+  amp_autocast: false
+  amp_dtype: null
+  torch_compile: false
+  torch_compile_config: {}
+  bettertransformer: false
+  quantization_scheme: null
+  quantization_config: {}
+  use_ddp: false
+  ddp_config: {}
+  peft_strategy: null
+  peft_config: {}
+benchmark:
+  name: training
+  _target_: optimum_benchmark.benchmarks.training.benchmark.TrainingBenchmark
+  warmup_steps: 40
+  dataset_shapes:
+    dataset_size: 1500
+    sequence_length: 256
+    num_choices: 1
+    feature_size: 80
+    nb_max_frames: 3000
+    audio_sequence_length: 16000
+  training_arguments:
+    skip_memory_metrics: true
+    output_dir: ./trainer_output
+    use_cpu: false
+    ddp_find_unused_parameters: false
+    do_train: true
+    do_eval: false
+    do_predict: false
+    report_to: none
+    per_device_train_batch_size: 32
+experiment_name: bert_1gpu_training
+model: bert-base-uncased
+device: cuda
+task: text-classification
+hub_kwargs:
+  revision: main
+  cache_dir: null
+  force_download: false
+  local_files_only: false
+environment:
+  optimum_version: 1.13.1
+  transformers_version: 4.34.0.dev0
+  accelerate_version: 0.23.0
+  diffusers_version: null
+  python_version: 3.10.12
+  system: Linux
+  cpu: ' AMD EPYC 7643 48-Core Processor'
+  cpu_count: 96
+  cpu_ram_mb: 1082028
+  gpus:
+  - Instinct MI210
+  - Instinct MI210
+  - Instinct MI210
+  - Instinct MI210
+  - Instinct MI210
+  - Instinct MI210
+  - Instinct MI210
+  - Instinct MI210

raw_results/2023-09-26_08:11:28_a8531f3bfd3c1dd63392c8c0c470c6744c8969ae/bert_1gpu_training/1/training_results.csv

@@ -0,0 +1,2 @@
+warmup.runtime(s),warmup.throughput(samples/s),training.runtime(s),training.throughput(samples/s),overall_training.runtime(s),overall_training.throughput(samples/s)
+9.587390661239624,133.50869336897338,23.835381984710693,135.5967360654501,33.422778367996216,96.70051856295653

raw_results/2023-09-26_08:11:28_a8531f3bfd3c1dd63392c8c0c470c6744c8969ae/bert_1gpu_training/multirun.yaml

@@ -0,0 +1,246 @@
+hydra:
+  run:
+    dir: runs/${oc.env:COMMIT_DATE_GMT}_${oc.env:COMMIT_SHA}/${experiment_name}
+  sweep:
+    dir: sweeps/${oc.env:COMMIT_DATE_GMT}_${oc.env:COMMIT_SHA}/${experiment_name}
+    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:
+      +benchmark.training_arguments.per_device_train_batch_size: '32'
+      backend.torch_dtype: float16,float32
+  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: MULTIRUN
+  searchpath: []
+  callbacks: {}
+  output_subdir: .hydra
+  overrides:
+    hydra:
+    - hydra.mode=MULTIRUN
+    task: []
+  job:
+    name: experiment
+    chdir: true
+    override_dirname: ''
+    id: ???
+    num: ???
+    config_name: bert_1gpu_training
+    env_set: {}
+    env_copy: []
+    config:
+      override_dirname:
+        kv_sep: '='
+        item_sep: ','
+        exclude_keys: []
+  runtime:
+    version: 1.3.2
+    version_base: '1.3'
+    cwd: /home/user/transformers-regression
+    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: /home/user/transformers-regression/configs
+      schema: file
+      provider: command-line
+    - path: ''
+      schema: structured
+      provider: schema
+    output_dir: ???
+    choices:
+      benchmark: training
+      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
+backend:
+  name: pytorch
+  version: ${pytorch_version:}
+  _target_: optimum_benchmark.backends.pytorch.backend.PyTorchBackend
+  seed: 42
+  inter_op_num_threads: null
+  intra_op_num_threads: null
+  initial_isolation_check: false
+  continous_isolation_check: false
+  delete_cache: false
+  no_weights: false
+  device_map: null
+  torch_dtype: null
+  disable_grad: ${is_inference:${benchmark.name}}
+  eval_mode: ${is_inference:${benchmark.name}}
+  amp_autocast: false
+  amp_dtype: null
+  torch_compile: false
+  torch_compile_config: {}
+  bettertransformer: false
+  quantization_scheme: null
+  quantization_config: {}
+  use_ddp: false
+  ddp_config: {}
+  peft_strategy: null
+  peft_config: {}
+benchmark:
+  name: training
+  _target_: optimum_benchmark.benchmarks.training.benchmark.TrainingBenchmark
+  warmup_steps: 40
+  dataset_shapes:
+    dataset_size: 1500
+    sequence_length: 256
+    num_choices: 1
+    feature_size: 80
+    nb_max_frames: 3000
+    audio_sequence_length: 16000
+  training_arguments:
+    skip_memory_metrics: true
+    output_dir: ./trainer_output
+    use_cpu: ${is_cpu:${device}}
+    ddp_find_unused_parameters: false
+    do_train: true
+    do_eval: false
+    do_predict: false
+    report_to: none
+experiment_name: bert_1gpu_training
+model: bert-base-uncased
+device: cuda
+task: text-classification
+hub_kwargs:
+  revision: main
+  cache_dir: null
+  force_download: false
+  local_files_only: false
+environment:
+  optimum_version: 1.13.1
+  transformers_version: 4.34.0.dev0
+  accelerate_version: 0.23.0
+  diffusers_version: null
+  python_version: 3.10.12
+  system: Linux
+  cpu: ' AMD EPYC 7643 48-Core Processor'
+  cpu_count: 96
+  cpu_ram_mb: 1082028
+  gpus:
+  - Instinct MI210
+  - Instinct MI210
+  - Instinct MI210
+  - Instinct MI210
+  - Instinct MI210
+  - Instinct MI210
+  - Instinct MI210
+  - Instinct MI210

raw_results/2023-09-26_08:11:28_a8531f3bfd3c1dd63392c8c0c470c6744c8969ae/llama_1gpu_inference/0/.config/config.yaml

@@ -0,0 +1,73 @@
+backend:
+  name: pytorch
+  version: ${pytorch_version:}
+  _target_: optimum_benchmark.backends.pytorch.backend.PyTorchBackend
+  seed: 42
+  inter_op_num_threads: null
+  intra_op_num_threads: null
+  initial_isolation_check: false
+  continous_isolation_check: false
+  delete_cache: false
+  no_weights: false
+  device_map: null
+  torch_dtype: float16
+  disable_grad: ${is_inference:${benchmark.name}}
+  eval_mode: ${is_inference:${benchmark.name}}
+  amp_autocast: false
+  amp_dtype: null
+  torch_compile: false
+  torch_compile_config: {}
+  bettertransformer: false
+  quantization_scheme: null
+  quantization_config: {}
+  use_ddp: false
+  ddp_config: {}
+  peft_strategy: null
+  peft_config: {}
+benchmark:
+  name: inference
+  _target_: optimum_benchmark.benchmarks.inference.benchmark.InferenceBenchmark
+  duration: 15
+  warmup_runs: 10
+  memory: false
+  energy: false
+  input_shapes:
+    batch_size: 1
+    sequence_length: 200
+    num_choices: 1
+    feature_size: 80
+    nb_max_frames: 3000
+    audio_sequence_length: 16000
+  new_tokens: 200
+  can_diffuse: ${can_diffuse:${task}}
+  can_generate: ${can_generate:${task}}
+  forward_kwargs: {}
+  generate_kwargs: {}
+experiment_name: llama_1gpu_inference
+model: meta-llama/Llama-2-7b-chat-hf
+device: cuda
+task: ${infer_task:${model}}
+hub_kwargs:
+  revision: main
+  cache_dir: null
+  force_download: false
+  local_files_only: false
+environment:
+  optimum_version: 1.13.1
+  transformers_version: 4.34.0.dev0
+  accelerate_version: 0.23.0
+  diffusers_version: null
+  python_version: 3.10.12
+  system: Linux
+  cpu: ' AMD EPYC 7643 48-Core Processor'
+  cpu_count: 96
+  cpu_ram_mb: 1082028
+  gpus:
+  - Instinct MI210
+  - Instinct MI210
+  - Instinct MI210
+  - Instinct MI210
+  - Instinct MI210
+  - Instinct MI210
+  - Instinct MI210
+  - Instinct MI210

raw_results/2023-09-26_08:11:28_a8531f3bfd3c1dd63392c8c0c470c6744c8969ae/llama_1gpu_inference/0/.config/hydra.yaml

@@ -0,0 +1,174 @@
+hydra:
+  run:
+    dir: runs/${oc.env:COMMIT_DATE_GMT}_${oc.env:COMMIT_SHA}/${experiment_name}
+  sweep:
+    dir: sweeps/${oc.env:COMMIT_DATE_GMT}_${oc.env:COMMIT_SHA}/${experiment_name}
+    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:
+      benchmark.input_shapes.batch_size: 1,16
+      backend.torch_dtype: float16,float32
+  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: MULTIRUN
+  searchpath: []
+  callbacks: {}
+  output_subdir: .hydra
+  overrides:
+    hydra:
+    - hydra.mode=MULTIRUN
+    task:
+    - benchmark.input_shapes.batch_size=1
+    - backend.torch_dtype=float16
+  job:
+    name: experiment
+    chdir: true
+    override_dirname: backend.torch_dtype=float16,benchmark.input_shapes.batch_size=1
+    id: '0'
+    num: 0
+    config_name: llama2_1gpu_inference
+    env_set: {}
+    env_copy: []
+    config:
+      override_dirname:
+        kv_sep: '='
+        item_sep: ','
+        exclude_keys: []
+  runtime:
+    version: 1.3.2
+    version_base: '1.3'
+    cwd: /home/user/transformers-regression
+    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: /home/user/transformers-regression/configs
+      schema: file
+      provider: command-line
+    - path: ''
+      schema: structured
+      provider: schema
+    output_dir: /home/user/transformers-regression/sweeps/2023-09-26_08:11:28_a8531f3bfd3c1dd63392c8c0c470c6744c8969ae/llama_1gpu_inference/0
+    choices:
+      benchmark: inference
+      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

raw_results/2023-09-26_08:11:28_a8531f3bfd3c1dd63392c8c0c470c6744c8969ae/llama_1gpu_inference/0/.config/overrides.yaml

@@ -0,0 +1,2 @@
+- benchmark.input_shapes.batch_size=1
+- backend.torch_dtype=float16

raw_results/2023-09-26_08:11:28_a8531f3bfd3c1dd63392c8c0c470c6744c8969ae/llama_1gpu_inference/0/experiment.log

@@ -0,0 +1,25 @@
+[2023-09-27 12:39:47,932][inference][INFO] - `new_tokens` was set to 200. `max_new_tokens` and `min_new_tokens` will be set to 200.
+[2023-09-27 12:39:48,458][experiment][WARNING] - Multiple GPUs detected but CUDA_DEVICE_ORDER is not set. This means that code might allocate resources from the wrong GPUs even if CUDA_VISIBLE_DEVICES is set. Pytorch uses the `FASTEST_FIRST` order by default, which is not guaranteed to be the same as nvidia-smi. `CUDA_DEVICE_ORDER` will be set to `PCI_BUS_ID` to ensure that the GPUs are allocated in the same order as nvidia-smi. 
+[2023-09-27 12:39:50,670][pytorch][INFO] - 	+ Inferred AutoModel class AutoModelForCausalLM for task text-generation and model_type llama
+[2023-09-27 12:39:50,671][backend][INFO] - Configuring pytorch backend
+[2023-09-27 12:39:50,672][pytorch][INFO] - 	+ Disabling gradients
+[2023-09-27 12:39:50,672][pytorch][INFO] - 	+ Loading model on device: cuda
+[2023-09-27 12:39:56,047][pytorch][INFO] - 	+ Turning on model's eval mode
+[2023-09-27 12:39:56,055][benchmark][INFO] - Configuring inference benchmark
+[2023-09-27 12:39:56,055][inference][INFO] - Running inference benchmark
+[2023-09-27 12:39:56,056][input_generator][INFO] - Using llama model type generator
+[2023-09-27 12:39:56,078][inference][INFO] - 	+ Preparing input for the forward pass
+[2023-09-27 12:39:56,078][inference][INFO] - 	+ Warming up the forward pass
+[2023-09-27 12:39:57,014][inference][INFO] - 	+ Tracking forward pass latency and throughput
+[2023-09-27 12:39:57,014][latency_tracker][INFO] - Tracked Pytorch devices: [0]
+[2023-09-27 12:40:12,082][inference][INFO] - 	+ Forward pass latency: 6.64e-02 (s)
+[2023-09-27 12:40:12,082][inference][INFO] - 	+ Forward pass throughput: 15.10 (samples/s)
+[2023-09-27 12:40:12,083][inference][INFO] - 	+ Preparing input for the generation pass
+[2023-09-27 12:40:12,083][inference][INFO] - 	+ Warming up the generation pass
+[2023-09-27 12:40:17,588][inference][INFO] - 	+ Tracking generation latency and throughput
+[2023-09-27 12:40:17,588][latency_tracker][INFO] - Tracked Pytorch devices: [0]
+[2023-09-27 12:40:37,483][inference][INFO] - 	+ Generation pass latency: 4.97e+00 (s)
+[2023-09-27 12:40:37,484][inference][INFO] - 	+ Generation pass throughput: 40.20 (tokens/s)
+[2023-09-27 12:40:37,484][inference][INFO] - Saving inference results
+[2023-09-27 12:40:37,488][backend][INFO] - Cleaning pytorch backend
+[2023-09-27 12:40:37,488][backend][INFO] - 	+ Deleting pretrained model

raw_results/2023-09-26_08:11:28_a8531f3bfd3c1dd63392c8c0c470c6744c8969ae/llama_1gpu_inference/0/hydra_config.yaml

@@ -0,0 +1,79 @@
+backend:
+  name: pytorch
+  version: 2.1.0+rocm5.6
+  _target_: optimum_benchmark.backends.pytorch.backend.PyTorchBackend
+  seed: 42
+  inter_op_num_threads: null
+  intra_op_num_threads: null
+  initial_isolation_check: false
+  continous_isolation_check: false
+  delete_cache: false
+  no_weights: false
+  device_map: null
+  torch_dtype: float16
+  disable_grad: true
+  eval_mode: true
+  amp_autocast: false
+  amp_dtype: null
+  torch_compile: false
+  torch_compile_config: {}
+  bettertransformer: false
+  quantization_scheme: null
+  quantization_config: {}
+  use_ddp: false
+  ddp_config: {}
+  peft_strategy: null
+  peft_config: {}
+benchmark:
+  name: inference
+  _target_: optimum_benchmark.benchmarks.inference.benchmark.InferenceBenchmark
+  duration: 15
+  warmup_runs: 10
+  memory: false
+  energy: false
+  input_shapes:
+    batch_size: 1
+    sequence_length: 200
+    num_choices: 1
+    feature_size: 80
+    nb_max_frames: 3000
+    audio_sequence_length: 16000
+  new_tokens: 200
+  can_diffuse: false
+  can_generate: true
+  forward_kwargs: {}
+  generate_kwargs:
+    max_new_tokens: 200
+    min_new_tokens: 200
+    do_sample: false
+    use_cache: true
+    pad_token_id: 0
+    num_beams: 1
+experiment_name: llama_1gpu_inference
+model: meta-llama/Llama-2-7b-chat-hf
+device: cuda
+task: text-generation
+hub_kwargs:
+  revision: main
+  cache_dir: null
+  force_download: false
+  local_files_only: false
+environment:
+  optimum_version: 1.13.1
+  transformers_version: 4.34.0.dev0
+  accelerate_version: 0.23.0
+  diffusers_version: null
+  python_version: 3.10.12
+  system: Linux
+  cpu: ' AMD EPYC 7643 48-Core Processor'
+  cpu_count: 96
+  cpu_ram_mb: 1082028
+  gpus:
+  - Instinct MI210
+  - Instinct MI210
+  - Instinct MI210
+  - Instinct MI210
+  - Instinct MI210
+  - Instinct MI210
+  - Instinct MI210
+  - Instinct MI210

raw_results/2023-09-26_08:11:28_a8531f3bfd3c1dd63392c8c0c470c6744c8969ae/llama_1gpu_inference/0/inference_results.csv

@@ -0,0 +1,2 @@
+forward.latency(s),forward.throughput(samples/s),generate.latency(s),generate.throughput(tokens/s)
+0.0664,15.1,4.97,40.2

raw_results/2023-09-26_08:11:28_a8531f3bfd3c1dd63392c8c0c470c6744c8969ae/llama_1gpu_inference/1/.config/config.yaml

@@ -0,0 +1,73 @@
+backend:
+  name: pytorch
+  version: ${pytorch_version:}
+  _target_: optimum_benchmark.backends.pytorch.backend.PyTorchBackend
+  seed: 42
+  inter_op_num_threads: null
+  intra_op_num_threads: null
+  initial_isolation_check: false
+  continous_isolation_check: false
+  delete_cache: false
+  no_weights: false
+  device_map: null
+  torch_dtype: float32
+  disable_grad: ${is_inference:${benchmark.name}}
+  eval_mode: ${is_inference:${benchmark.name}}
+  amp_autocast: false
+  amp_dtype: null
+  torch_compile: false
+  torch_compile_config: {}
+  bettertransformer: false
+  quantization_scheme: null
+  quantization_config: {}
+  use_ddp: false
+  ddp_config: {}
+  peft_strategy: null
+  peft_config: {}
+benchmark:
+  name: inference
+  _target_: optimum_benchmark.benchmarks.inference.benchmark.InferenceBenchmark
+  duration: 15
+  warmup_runs: 10
+  memory: false
+  energy: false
+  input_shapes:
+    batch_size: 1
+    sequence_length: 200
+    num_choices: 1
+    feature_size: 80
+    nb_max_frames: 3000
+    audio_sequence_length: 16000
+  new_tokens: 200
+  can_diffuse: ${can_diffuse:${task}}
+  can_generate: ${can_generate:${task}}
+  forward_kwargs: {}
+  generate_kwargs: {}
+experiment_name: llama_1gpu_inference
+model: meta-llama/Llama-2-7b-chat-hf
+device: cuda
+task: ${infer_task:${model}}
+hub_kwargs:
+  revision: main
+  cache_dir: null
+  force_download: false
+  local_files_only: false
+environment:
+  optimum_version: 1.13.1
+  transformers_version: 4.34.0.dev0
+  accelerate_version: 0.23.0
+  diffusers_version: null
+  python_version: 3.10.12
+  system: Linux
+  cpu: ' AMD EPYC 7643 48-Core Processor'
+  cpu_count: 96
+  cpu_ram_mb: 1082028
+  gpus:
+  - Instinct MI210
+  - Instinct MI210
+  - Instinct MI210
+  - Instinct MI210
+  - Instinct MI210
+  - Instinct MI210
+  - Instinct MI210
+  - Instinct MI210

raw_results/2023-09-26_08:11:28_a8531f3bfd3c1dd63392c8c0c470c6744c8969ae/llama_1gpu_inference/1/.config/hydra.yaml

@@ -0,0 +1,174 @@
+hydra:
+  run:
+    dir: runs/${oc.env:COMMIT_DATE_GMT}_${oc.env:COMMIT_SHA}/${experiment_name}
+  sweep:
+    dir: sweeps/${oc.env:COMMIT_DATE_GMT}_${oc.env:COMMIT_SHA}/${experiment_name}
+    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:
+      benchmark.input_shapes.batch_size: 1,16
+      backend.torch_dtype: float16,float32
+  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: MULTIRUN
+  searchpath: []
+  callbacks: {}
+  output_subdir: .hydra
+  overrides:
+    hydra:
+    - hydra.mode=MULTIRUN
+    task:
+    - benchmark.input_shapes.batch_size=1
+    - backend.torch_dtype=float32
+  job:
+    name: experiment
+    chdir: true
+    override_dirname: backend.torch_dtype=float32,benchmark.input_shapes.batch_size=1
+    id: '1'
+    num: 1
+    config_name: llama2_1gpu_inference
+    env_set: {}
+    env_copy: []
+    config:
+      override_dirname:
+        kv_sep: '='
+        item_sep: ','
+        exclude_keys: []
+  runtime:
+    version: 1.3.2
+    version_base: '1.3'
+    cwd: /home/user/transformers-regression
+    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: /home/user/transformers-regression/configs
+      schema: file
+      provider: command-line
+    - path: ''
+      schema: structured
+      provider: schema
+    output_dir: /home/user/transformers-regression/sweeps/2023-09-26_08:11:28_a8531f3bfd3c1dd63392c8c0c470c6744c8969ae/llama_1gpu_inference/1
+    choices:
+      benchmark: inference
+      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

raw_results/2023-09-26_08:11:28_a8531f3bfd3c1dd63392c8c0c470c6744c8969ae/llama_1gpu_inference/1/.config/overrides.yaml

@@ -0,0 +1,2 @@
+- benchmark.input_shapes.batch_size=1
+- backend.torch_dtype=float32

raw_results/2023-09-26_08:11:28_a8531f3bfd3c1dd63392c8c0c470c6744c8969ae/llama_1gpu_inference/1/experiment.log

@@ -0,0 +1,24 @@
+[2023-09-27 12:40:38,804][inference][INFO] - `new_tokens` was set to 200. `max_new_tokens` and `min_new_tokens` will be set to 200.
+[2023-09-27 12:40:39,999][pytorch][INFO] - 	+ Inferred AutoModel class AutoModelForCausalLM for task text-generation and model_type llama
+[2023-09-27 12:40:39,999][backend][INFO] - Configuring pytorch backend
+[2023-09-27 12:40:39,999][pytorch][INFO] - 	+ Disabling gradients
+[2023-09-27 12:40:40,000][pytorch][INFO] - 	+ Loading model on device: cuda
+[2023-09-27 12:40:45,144][pytorch][INFO] - 	+ Turning on model's eval mode
+[2023-09-27 12:40:45,146][benchmark][INFO] - Configuring inference benchmark
+[2023-09-27 12:40:45,146][inference][INFO] - Running inference benchmark
+[2023-09-27 12:40:45,146][input_generator][INFO] - Using llama model type generator
+[2023-09-27 12:40:45,146][inference][INFO] - 	+ Preparing input for the forward pass
+[2023-09-27 12:40:45,147][inference][INFO] - 	+ Warming up the forward pass
+[2023-09-27 12:40:46,291][inference][INFO] - 	+ Tracking forward pass latency and throughput
+[2023-09-27 12:40:46,291][latency_tracker][INFO] - Tracked Pytorch devices: [0]
+[2023-09-27 12:41:01,395][inference][INFO] - 	+ Forward pass latency: 1.14e-01 (s)
+[2023-09-27 12:41:01,396][inference][INFO] - 	+ Forward pass throughput: 8.77 (samples/s)
+[2023-09-27 12:41:01,396][inference][INFO] - 	+ Preparing input for the generation pass
+[2023-09-27 12:41:01,396][inference][INFO] - 	+ Warming up the generation pass
+[2023-09-27 12:41:10,700][inference][INFO] - 	+ Tracking generation latency and throughput
+[2023-09-27 12:41:10,700][latency_tracker][INFO] - Tracked Pytorch devices: [0]
+[2023-09-27 12:41:29,275][inference][INFO] - 	+ Generation pass latency: 9.29e+00 (s)
+[2023-09-27 12:41:29,276][inference][INFO] - 	+ Generation pass throughput: 21.50 (tokens/s)
+[2023-09-27 12:41:29,276][inference][INFO] - Saving inference results
+[2023-09-27 12:41:29,278][backend][INFO] - Cleaning pytorch backend
+[2023-09-27 12:41:29,278][backend][INFO] - 	+ Deleting pretrained model

raw_results/2023-09-26_08:11:28_a8531f3bfd3c1dd63392c8c0c470c6744c8969ae/llama_1gpu_inference/1/hydra_config.yaml

@@ -0,0 +1,79 @@
+backend:
+  name: pytorch
+  version: 2.1.0+rocm5.6
+  _target_: optimum_benchmark.backends.pytorch.backend.PyTorchBackend
+  seed: 42
+  inter_op_num_threads: null
+  intra_op_num_threads: null
+  initial_isolation_check: false
+  continous_isolation_check: false
+  delete_cache: false
+  no_weights: false
+  device_map: null
+  torch_dtype: float32
+  disable_grad: true
+  eval_mode: true
+  amp_autocast: false
+  amp_dtype: null
+  torch_compile: false
+  torch_compile_config: {}
+  bettertransformer: false
+  quantization_scheme: null
+  quantization_config: {}
+  use_ddp: false
+  ddp_config: {}
+  peft_strategy: null
+  peft_config: {}
+benchmark:
+  name: inference
+  _target_: optimum_benchmark.benchmarks.inference.benchmark.InferenceBenchmark
+  duration: 15
+  warmup_runs: 10
+  memory: false
+  energy: false
+  input_shapes:
+    batch_size: 1
+    sequence_length: 200
+    num_choices: 1
+    feature_size: 80
+    nb_max_frames: 3000
+    audio_sequence_length: 16000
+  new_tokens: 200
+  can_diffuse: false
+  can_generate: true
+  forward_kwargs: {}
+  generate_kwargs:
+    max_new_tokens: 200
+    min_new_tokens: 200
+    do_sample: false
+    use_cache: true
+    pad_token_id: 0
+    num_beams: 1
+experiment_name: llama_1gpu_inference
+model: meta-llama/Llama-2-7b-chat-hf
+device: cuda
+task: text-generation
+hub_kwargs:
+  revision: main
+  cache_dir: null
+  force_download: false
+  local_files_only: false
+environment:
+  optimum_version: 1.13.1
+  transformers_version: 4.34.0.dev0
+  accelerate_version: 0.23.0
+  diffusers_version: null
+  python_version: 3.10.12
+  system: Linux
+  cpu: ' AMD EPYC 7643 48-Core Processor'
+  cpu_count: 96
+  cpu_ram_mb: 1082028
+  gpus:
+  - Instinct MI210
+  - Instinct MI210
+  - Instinct MI210
+  - Instinct MI210
+  - Instinct MI210
+  - Instinct MI210
+  - Instinct MI210
+  - Instinct MI210

raw_results/2023-09-26_08:11:28_a8531f3bfd3c1dd63392c8c0c470c6744c8969ae/llama_1gpu_inference/1/inference_results.csv

@@ -0,0 +1,2 @@
+forward.latency(s),forward.throughput(samples/s),generate.latency(s),generate.throughput(tokens/s)
+0.114,8.77,9.29,21.5

raw_results/2023-09-26_08:11:28_a8531f3bfd3c1dd63392c8c0c470c6744c8969ae/llama_1gpu_inference/2/.config/config.yaml

@@ -0,0 +1,73 @@
+backend:
+  name: pytorch
+  version: ${pytorch_version:}
+  _target_: optimum_benchmark.backends.pytorch.backend.PyTorchBackend
+  seed: 42
+  inter_op_num_threads: null
+  intra_op_num_threads: null
+  initial_isolation_check: false
+  continous_isolation_check: false
+  delete_cache: false
+  no_weights: false
+  device_map: null
+  torch_dtype: float16
+  disable_grad: ${is_inference:${benchmark.name}}
+  eval_mode: ${is_inference:${benchmark.name}}
+  amp_autocast: false
+  amp_dtype: null
+  torch_compile: false
+  torch_compile_config: {}
+  bettertransformer: false
+  quantization_scheme: null
+  quantization_config: {}
+  use_ddp: false
+  ddp_config: {}
+  peft_strategy: null
+  peft_config: {}
+benchmark:
+  name: inference
+  _target_: optimum_benchmark.benchmarks.inference.benchmark.InferenceBenchmark
+  duration: 15
+  warmup_runs: 10
+  memory: false
+  energy: false
+  input_shapes:
+    batch_size: 16
+    sequence_length: 200
+    num_choices: 1
+    feature_size: 80
+    nb_max_frames: 3000
+    audio_sequence_length: 16000
+  new_tokens: 200
+  can_diffuse: ${can_diffuse:${task}}
+  can_generate: ${can_generate:${task}}
+  forward_kwargs: {}
+  generate_kwargs: {}
+experiment_name: llama_1gpu_inference
+model: meta-llama/Llama-2-7b-chat-hf
+device: cuda
+task: ${infer_task:${model}}
+hub_kwargs:
+  revision: main
+  cache_dir: null
+  force_download: false
+  local_files_only: false
+environment:
+  optimum_version: 1.13.1
+  transformers_version: 4.34.0.dev0
+  accelerate_version: 0.23.0
+  diffusers_version: null
+  python_version: 3.10.12
+  system: Linux
+  cpu: ' AMD EPYC 7643 48-Core Processor'
+  cpu_count: 96
+  cpu_ram_mb: 1082028
+  gpus:
+  - Instinct MI210
+  - Instinct MI210
+  - Instinct MI210
+  - Instinct MI210
+  - Instinct MI210
+  - Instinct MI210
+  - Instinct MI210
+  - Instinct MI210

raw_results/2023-09-26_08:11:28_a8531f3bfd3c1dd63392c8c0c470c6744c8969ae/llama_1gpu_inference/2/.config/hydra.yaml

@@ -0,0 +1,174 @@
+hydra:
+  run:
+    dir: runs/${oc.env:COMMIT_DATE_GMT}_${oc.env:COMMIT_SHA}/${experiment_name}
+  sweep:
+    dir: sweeps/${oc.env:COMMIT_DATE_GMT}_${oc.env:COMMIT_SHA}/${experiment_name}
+    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:
+      benchmark.input_shapes.batch_size: 1,16
+      backend.torch_dtype: float16,float32
+  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: MULTIRUN
+  searchpath: []
+  callbacks: {}
+  output_subdir: .hydra
+  overrides:
+    hydra:
+    - hydra.mode=MULTIRUN
+    task:
+    - benchmark.input_shapes.batch_size=16
+    - backend.torch_dtype=float16
+  job:
+    name: experiment
+    chdir: true
+    override_dirname: backend.torch_dtype=float16,benchmark.input_shapes.batch_size=16
+    id: '2'
+    num: 2
+    config_name: llama2_1gpu_inference
+    env_set: {}
+    env_copy: []
+    config:
+      override_dirname:
+        kv_sep: '='
+        item_sep: ','
+        exclude_keys: []
+  runtime:
+    version: 1.3.2
+    version_base: '1.3'
+    cwd: /home/user/transformers-regression
+    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: /home/user/transformers-regression/configs
+      schema: file
+      provider: command-line
+    - path: ''
+      schema: structured
+      provider: schema
+    output_dir: /home/user/transformers-regression/sweeps/2023-09-26_08:11:28_a8531f3bfd3c1dd63392c8c0c470c6744c8969ae/llama_1gpu_inference/2
+    choices:
+      benchmark: inference
+      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

raw_results/2023-09-26_08:11:28_a8531f3bfd3c1dd63392c8c0c470c6744c8969ae/llama_1gpu_inference/2/.config/overrides.yaml

@@ -0,0 +1,2 @@
+- benchmark.input_shapes.batch_size=16
+- backend.torch_dtype=float16

raw_results/2023-09-26_08:11:28_a8531f3bfd3c1dd63392c8c0c470c6744c8969ae/llama_1gpu_inference/2/experiment.log

@@ -0,0 +1,24 @@
+[2023-09-27 12:41:30,267][inference][INFO] - `new_tokens` was set to 200. `max_new_tokens` and `min_new_tokens` will be set to 200.
+[2023-09-27 12:41:31,689][pytorch][INFO] - 	+ Inferred AutoModel class AutoModelForCausalLM for task text-generation and model_type llama
+[2023-09-27 12:41:31,689][backend][INFO] - Configuring pytorch backend
+[2023-09-27 12:41:31,689][pytorch][INFO] - 	+ Disabling gradients
+[2023-09-27 12:41:31,689][pytorch][INFO] - 	+ Loading model on device: cuda
+[2023-09-27 12:41:36,565][pytorch][INFO] - 	+ Turning on model's eval mode
+[2023-09-27 12:41:36,567][benchmark][INFO] - Configuring inference benchmark
+[2023-09-27 12:41:36,567][inference][INFO] - Running inference benchmark
+[2023-09-27 12:41:36,567][input_generator][INFO] - Using llama model type generator
+[2023-09-27 12:41:36,567][inference][INFO] - 	+ Preparing input for the forward pass
+[2023-09-27 12:41:36,568][inference][INFO] - 	+ Warming up the forward pass
+[2023-09-27 12:41:41,147][inference][INFO] - 	+ Tracking forward pass latency and throughput
+[2023-09-27 12:41:41,148][latency_tracker][INFO] - Tracked Pytorch devices: [0]
+[2023-09-27 12:41:56,883][inference][INFO] - 	+ Forward pass latency: 5.08e-01 (s)
+[2023-09-27 12:41:56,883][inference][INFO] - 	+ Forward pass throughput: 31.50 (samples/s)
+[2023-09-27 12:41:56,884][inference][INFO] - 	+ Preparing input for the generation pass
+[2023-09-27 12:41:56,884][inference][INFO] - 	+ Warming up the generation pass
+[2023-09-27 12:42:06,228][inference][INFO] - 	+ Tracking generation latency and throughput
+[2023-09-27 12:42:06,229][latency_tracker][INFO] - Tracked Pytorch devices: [0]
+[2023-09-27 12:42:24,185][inference][INFO] - 	+ Generation pass latency: 8.98e+00 (s)
+[2023-09-27 12:42:24,186][inference][INFO] - 	+ Generation pass throughput: 356.00 (tokens/s)
+[2023-09-27 12:42:24,186][inference][INFO] - Saving inference results
+[2023-09-27 12:42:24,188][backend][INFO] - Cleaning pytorch backend
+[2023-09-27 12:42:24,188][backend][INFO] - 	+ Deleting pretrained model

raw_results/2023-09-26_08:11:28_a8531f3bfd3c1dd63392c8c0c470c6744c8969ae/llama_1gpu_inference/2/hydra_config.yaml

@@ -0,0 +1,79 @@
+backend:
+  name: pytorch
+  version: 2.1.0+rocm5.6
+  _target_: optimum_benchmark.backends.pytorch.backend.PyTorchBackend
+  seed: 42
+  inter_op_num_threads: null
+  intra_op_num_threads: null
+  initial_isolation_check: false
+  continous_isolation_check: false
+  delete_cache: false
+  no_weights: false
+  device_map: null
+  torch_dtype: float16
+  disable_grad: true
+  eval_mode: true
+  amp_autocast: false
+  amp_dtype: null
+  torch_compile: false
+  torch_compile_config: {}
+  bettertransformer: false
+  quantization_scheme: null
+  quantization_config: {}
+  use_ddp: false
+  ddp_config: {}
+  peft_strategy: null
+  peft_config: {}
+benchmark:
+  name: inference
+  _target_: optimum_benchmark.benchmarks.inference.benchmark.InferenceBenchmark
+  duration: 15
+  warmup_runs: 10
+  memory: false
+  energy: false
+  input_shapes:
+    batch_size: 16
+    sequence_length: 200
+    num_choices: 1
+    feature_size: 80
+    nb_max_frames: 3000
+    audio_sequence_length: 16000
+  new_tokens: 200
+  can_diffuse: false
+  can_generate: true
+  forward_kwargs: {}
+  generate_kwargs:
+    max_new_tokens: 200
+    min_new_tokens: 200
+    do_sample: false
+    use_cache: true
+    pad_token_id: 0
+    num_beams: 1
+experiment_name: llama_1gpu_inference
+model: meta-llama/Llama-2-7b-chat-hf
+device: cuda
+task: text-generation
+hub_kwargs:
+  revision: main
+  cache_dir: null
+  force_download: false
+  local_files_only: false
+environment:
+  optimum_version: 1.13.1
+  transformers_version: 4.34.0.dev0
+  accelerate_version: 0.23.0
+  diffusers_version: null
+  python_version: 3.10.12
+  system: Linux
+  cpu: ' AMD EPYC 7643 48-Core Processor'
+  cpu_count: 96
+  cpu_ram_mb: 1082028
+  gpus:
+  - Instinct MI210
+  - Instinct MI210
+  - Instinct MI210
+  - Instinct MI210
+  - Instinct MI210
+  - Instinct MI210
+  - Instinct MI210
+  - Instinct MI210

raw_results/2023-09-26_08:11:28_a8531f3bfd3c1dd63392c8c0c470c6744c8969ae/llama_1gpu_inference/2/inference_results.csv

@@ -0,0 +1,2 @@
+forward.latency(s),forward.throughput(samples/s),generate.latency(s),generate.throughput(tokens/s)
+0.508,31.5,8.98,356.0

raw_results/2023-09-26_08:11:28_a8531f3bfd3c1dd63392c8c0c470c6744c8969ae/llama_1gpu_inference/3/.config/config.yaml

@@ -0,0 +1,73 @@
+backend:
+  name: pytorch
+  version: ${pytorch_version:}
+  _target_: optimum_benchmark.backends.pytorch.backend.PyTorchBackend
+  seed: 42
+  inter_op_num_threads: null
+  intra_op_num_threads: null
+  initial_isolation_check: false
+  continous_isolation_check: false
+  delete_cache: false
+  no_weights: false
+  device_map: null
+  torch_dtype: float32
+  disable_grad: ${is_inference:${benchmark.name}}
+  eval_mode: ${is_inference:${benchmark.name}}
+  amp_autocast: false
+  amp_dtype: null
+  torch_compile: false
+  torch_compile_config: {}
+  bettertransformer: false
+  quantization_scheme: null
+  quantization_config: {}
+  use_ddp: false
+  ddp_config: {}
+  peft_strategy: null
+  peft_config: {}
+benchmark:
+  name: inference
+  _target_: optimum_benchmark.benchmarks.inference.benchmark.InferenceBenchmark
+  duration: 15
+  warmup_runs: 10
+  memory: false
+  energy: false
+  input_shapes:
+    batch_size: 16
+    sequence_length: 200
+    num_choices: 1
+    feature_size: 80
+    nb_max_frames: 3000
+    audio_sequence_length: 16000
+  new_tokens: 200
+  can_diffuse: ${can_diffuse:${task}}
+  can_generate: ${can_generate:${task}}
+  forward_kwargs: {}
+  generate_kwargs: {}
+experiment_name: llama_1gpu_inference
+model: meta-llama/Llama-2-7b-chat-hf
+device: cuda
+task: ${infer_task:${model}}
+hub_kwargs:
+  revision: main
+  cache_dir: null
+  force_download: false
+  local_files_only: false
+environment:
+  optimum_version: 1.13.1
+  transformers_version: 4.34.0.dev0
+  accelerate_version: 0.23.0
+  diffusers_version: null
+  python_version: 3.10.12
+  system: Linux
+  cpu: ' AMD EPYC 7643 48-Core Processor'
+  cpu_count: 96
+  cpu_ram_mb: 1082028
+  gpus:
+  - Instinct MI210
+  - Instinct MI210
+  - Instinct MI210
+  - Instinct MI210
+  - Instinct MI210
+  - Instinct MI210
+  - Instinct MI210
+  - Instinct MI210

raw_results/2023-09-26_08:11:28_a8531f3bfd3c1dd63392c8c0c470c6744c8969ae/llama_1gpu_inference/3/.config/hydra.yaml

@@ -0,0 +1,174 @@
+hydra:
+  run:
+    dir: runs/${oc.env:COMMIT_DATE_GMT}_${oc.env:COMMIT_SHA}/${experiment_name}
+  sweep:
+    dir: sweeps/${oc.env:COMMIT_DATE_GMT}_${oc.env:COMMIT_SHA}/${experiment_name}
+    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:
+      benchmark.input_shapes.batch_size: 1,16
+      backend.torch_dtype: float16,float32
+  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: MULTIRUN
+  searchpath: []
+  callbacks: {}
+  output_subdir: .hydra
+  overrides:
+    hydra:
+    - hydra.mode=MULTIRUN
+    task:
+    - benchmark.input_shapes.batch_size=16
+    - backend.torch_dtype=float32
+  job:
+    name: experiment
+    chdir: true
+    override_dirname: backend.torch_dtype=float32,benchmark.input_shapes.batch_size=16
+    id: '3'
+    num: 3
+    config_name: llama2_1gpu_inference
+    env_set: {}
+    env_copy: []
+    config:
+      override_dirname:
+        kv_sep: '='
+        item_sep: ','
+        exclude_keys: []
+  runtime:
+    version: 1.3.2
+    version_base: '1.3'
+    cwd: /home/user/transformers-regression
+    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: /home/user/transformers-regression/configs
+      schema: file
+      provider: command-line
+    - path: ''
+      schema: structured
+      provider: schema
+    output_dir: /home/user/transformers-regression/sweeps/2023-09-26_08:11:28_a8531f3bfd3c1dd63392c8c0c470c6744c8969ae/llama_1gpu_inference/3
+    choices:
+      benchmark: inference
+      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

raw_results/2023-09-26_08:11:28_a8531f3bfd3c1dd63392c8c0c470c6744c8969ae/llama_1gpu_inference/3/.config/overrides.yaml

@@ -0,0 +1,2 @@
+- benchmark.input_shapes.batch_size=16
+- backend.torch_dtype=float32

raw_results/2023-09-26_08:11:28_a8531f3bfd3c1dd63392c8c0c470c6744c8969ae/llama_1gpu_inference/3/experiment.log

@@ -0,0 +1,24 @@
+[2023-09-27 12:42:25,455][inference][INFO] - `new_tokens` was set to 200. `max_new_tokens` and `min_new_tokens` will be set to 200.
+[2023-09-27 12:42:26,795][pytorch][INFO] - 	+ Inferred AutoModel class AutoModelForCausalLM for task text-generation and model_type llama
+[2023-09-27 12:42:26,795][backend][INFO] - Configuring pytorch backend
+[2023-09-27 12:42:26,795][pytorch][INFO] - 	+ Disabling gradients
+[2023-09-27 12:42:26,795][pytorch][INFO] - 	+ Loading model on device: cuda
+[2023-09-27 12:42:31,771][pytorch][INFO] - 	+ Turning on model's eval mode
+[2023-09-27 12:42:31,773][benchmark][INFO] - Configuring inference benchmark
+[2023-09-27 12:42:31,773][inference][INFO] - Running inference benchmark
+[2023-09-27 12:42:31,773][input_generator][INFO] - Using llama model type generator
+[2023-09-27 12:42:31,773][inference][INFO] - 	+ Preparing input for the forward pass
+[2023-09-27 12:42:31,774][inference][INFO] - 	+ Warming up the forward pass
+[2023-09-27 12:42:44,455][inference][INFO] - 	+ Tracking forward pass latency and throughput
+[2023-09-27 12:42:44,455][latency_tracker][INFO] - Tracked Pytorch devices: [0]
+[2023-09-27 12:43:01,379][inference][INFO] - 	+ Forward pass latency: 1.41e+00 (s)
+[2023-09-27 12:43:01,380][inference][INFO] - 	+ Forward pass throughput: 11.30 (samples/s)
+[2023-09-27 12:43:01,381][inference][INFO] - 	+ Preparing input for the generation pass
+[2023-09-27 12:43:01,381][inference][INFO] - 	+ Warming up the generation pass
+[2023-09-27 12:43:15,956][inference][INFO] - 	+ Tracking generation latency and throughput
+[2023-09-27 12:43:15,957][latency_tracker][INFO] - Tracked Pytorch devices: [0]
+[2023-09-27 12:43:44,198][inference][INFO] - 	+ Generation pass latency: 1.41e+01 (s)
+[2023-09-27 12:43:44,199][inference][INFO] - 	+ Generation pass throughput: 227.00 (tokens/s)
+[2023-09-27 12:43:44,199][inference][INFO] - Saving inference results
+[2023-09-27 12:43:44,201][backend][INFO] - Cleaning pytorch backend
+[2023-09-27 12:43:44,201][backend][INFO] - 	+ Deleting pretrained model

raw_results/2023-09-26_08:11:28_a8531f3bfd3c1dd63392c8c0c470c6744c8969ae/llama_1gpu_inference/3/hydra_config.yaml

@@ -0,0 +1,79 @@
+backend:
+  name: pytorch
+  version: 2.1.0+rocm5.6
+  _target_: optimum_benchmark.backends.pytorch.backend.PyTorchBackend
+  seed: 42
+  inter_op_num_threads: null
+  intra_op_num_threads: null
+  initial_isolation_check: false
+  continous_isolation_check: false
+  delete_cache: false
+  no_weights: false
+  device_map: null
+  torch_dtype: float32
+  disable_grad: true
+  eval_mode: true
+  amp_autocast: false
+  amp_dtype: null
+  torch_compile: false
+  torch_compile_config: {}
+  bettertransformer: false
+  quantization_scheme: null
+  quantization_config: {}
+  use_ddp: false
+  ddp_config: {}
+  peft_strategy: null
+  peft_config: {}
+benchmark:
+  name: inference
+  _target_: optimum_benchmark.benchmarks.inference.benchmark.InferenceBenchmark
+  duration: 15
+  warmup_runs: 10
+  memory: false
+  energy: false
+  input_shapes:
+    batch_size: 16
+    sequence_length: 200
+    num_choices: 1
+    feature_size: 80
+    nb_max_frames: 3000
+    audio_sequence_length: 16000
+  new_tokens: 200
+  can_diffuse: false
+  can_generate: true
+  forward_kwargs: {}
+  generate_kwargs:
+    max_new_tokens: 200
+    min_new_tokens: 200
+    do_sample: false
+    use_cache: true
+    pad_token_id: 0
+    num_beams: 1
+experiment_name: llama_1gpu_inference
+model: meta-llama/Llama-2-7b-chat-hf
+device: cuda
+task: text-generation
+hub_kwargs:
+  revision: main
+  cache_dir: null
+  force_download: false
+  local_files_only: false
+environment:
+  optimum_version: 1.13.1
+  transformers_version: 4.34.0.dev0
+  accelerate_version: 0.23.0
+  diffusers_version: null
+  python_version: 3.10.12
+  system: Linux
+  cpu: ' AMD EPYC 7643 48-Core Processor'
+  cpu_count: 96
+  cpu_ram_mb: 1082028
+  gpus:
+  - Instinct MI210
+  - Instinct MI210
+  - Instinct MI210
+  - Instinct MI210
+  - Instinct MI210
+  - Instinct MI210
+  - Instinct MI210
+  - Instinct MI210

raw_results/2023-09-26_08:11:28_a8531f3bfd3c1dd63392c8c0c470c6744c8969ae/llama_1gpu_inference/3/inference_results.csv

@@ -0,0 +1,2 @@
+forward.latency(s),forward.throughput(samples/s),generate.latency(s),generate.throughput(tokens/s)
+1.41,11.3,14.1,227.0

raw_results/2023-09-26_08:11:28_a8531f3bfd3c1dd63392c8c0c470c6744c8969ae/llama_1gpu_inference/multirun.yaml

@@ -0,0 +1,245 @@
+hydra:
+  run:
+    dir: runs/${oc.env:COMMIT_DATE_GMT}_${oc.env:COMMIT_SHA}/${experiment_name}
+  sweep:
+    dir: sweeps/${oc.env:COMMIT_DATE_GMT}_${oc.env:COMMIT_SHA}/${experiment_name}
+    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:
+      benchmark.input_shapes.batch_size: 1,16
+      backend.torch_dtype: float16,float32
+  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: MULTIRUN
+  searchpath: []
+  callbacks: {}
+  output_subdir: .hydra
+  overrides:
+    hydra:
+    - hydra.mode=MULTIRUN
+    task: []
+  job:
+    name: experiment
+    chdir: true
+    override_dirname: ''
+    id: ???
+    num: ???
+    config_name: llama2_1gpu_inference
+    env_set: {}
+    env_copy: []
+    config:
+      override_dirname:
+        kv_sep: '='
+        item_sep: ','
+        exclude_keys: []
+  runtime:
+    version: 1.3.2
+    version_base: '1.3'
+    cwd: /home/user/transformers-regression
+    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: /home/user/transformers-regression/configs
+      schema: file
+      provider: command-line
+    - path: ''
+      schema: structured
+      provider: schema
+    output_dir: ???
+    choices:
+      benchmark: inference
+      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
+backend:
+  name: pytorch
+  version: ${pytorch_version:}
+  _target_: optimum_benchmark.backends.pytorch.backend.PyTorchBackend
+  seed: 42
+  inter_op_num_threads: null
+  intra_op_num_threads: null
+  initial_isolation_check: false
+  continous_isolation_check: false
+  delete_cache: false
+  no_weights: false
+  device_map: null
+  torch_dtype: null
+  disable_grad: ${is_inference:${benchmark.name}}
+  eval_mode: ${is_inference:${benchmark.name}}
+  amp_autocast: false
+  amp_dtype: null
+  torch_compile: false
+  torch_compile_config: {}
+  bettertransformer: false
+  quantization_scheme: null
+  quantization_config: {}
+  use_ddp: false
+  ddp_config: {}
+  peft_strategy: null
+  peft_config: {}
+benchmark:
+  name: inference
+  _target_: optimum_benchmark.benchmarks.inference.benchmark.InferenceBenchmark
+  duration: 15
+  warmup_runs: 10
+  memory: false
+  energy: false
+  input_shapes:
+    batch_size: 2
+    sequence_length: 200
+    num_choices: 1
+    feature_size: 80
+    nb_max_frames: 3000
+    audio_sequence_length: 16000
+  new_tokens: 200
+  can_diffuse: ${can_diffuse:${task}}
+  can_generate: ${can_generate:${task}}
+  forward_kwargs: {}
+  generate_kwargs: {}
+experiment_name: llama_1gpu_inference
+model: meta-llama/Llama-2-7b-chat-hf
+device: cuda
+task: ${infer_task:${model}}
+hub_kwargs:
+  revision: main
+  cache_dir: null
+  force_download: false
+  local_files_only: false
+environment:
+  optimum_version: 1.13.1
+  transformers_version: 4.34.0.dev0
+  accelerate_version: 0.23.0
+  diffusers_version: null
+  python_version: 3.10.12
+  system: Linux
+  cpu: ' AMD EPYC 7643 48-Core Processor'
+  cpu_count: 96
+  cpu_ram_mb: 1082028
+  gpus:
+  - Instinct MI210
+  - Instinct MI210
+  - Instinct MI210
+  - Instinct MI210
+  - Instinct MI210
+  - Instinct MI210
+  - Instinct MI210
+  - Instinct MI210