Upload folder using huggingface_hub

2024-06-14/commit=b7672826cad31e30319487af876e608d8af7d37b/backend.cache_implementation=null,backend.model=google/gemma-2b,backend.torch_compile=False/.hydra/config.yaml

@@ -0,0 +1,91 @@
+name: pytorch_generate
+backend:
+  name: pytorch
+  version: 2.3.0+cu121
+  _target_: optimum_benchmark.backends.pytorch.backend.PyTorchBackend
+  task: null
+  library: null
+  model: google/gemma-2b
+  processor: null
+  device: cuda
+  device_ids: '0'
+  seed: 42
+  inter_op_num_threads: null
+  intra_op_num_threads: null
+  model_kwargs: {}
+  processor_kwargs: {}
+  hub_kwargs: {}
+  no_weights: true
+  device_map: null
+  torch_dtype: float16
+  eval_mode: true
+  to_bettertransformer: false
+  low_cpu_mem_usage: null
+  attn_implementation: null
+  cache_implementation: null
+  autocast_enabled: false
+  autocast_dtype: null
+  torch_compile: false
+  torch_compile_target: forward
+  torch_compile_config:
+    backend: inductor
+    mode: reduce-overhead
+    fullgraph: true
+  quantization_scheme: null
+  quantization_config: {}
+  deepspeed_inference: false
+  deepspeed_inference_config: {}
+  peft_type: null
+  peft_config: {}
+scenario:
+  name: inference
+  _target_: optimum_benchmark.scenarios.inference.scenario.InferenceScenario
+  iterations: 2
+  duration: 0
+  warmup_runs: 10
+  input_shapes:
+    batch_size: 1
+    sequence_length: 7
+  new_tokens: null
+  latency: true
+  memory: true
+  energy: false
+  forward_kwargs: {}
+  generate_kwargs:
+    max_new_tokens: 128
+    min_new_tokens: 128
+    do_sample: false
+  call_kwargs: {}
+launcher:
+  name: process
+  _target_: optimum_benchmark.launchers.process.launcher.ProcessLauncher
+  device_isolation: true
+  device_isolation_action: warn
+  start_method: spawn
+environment:
+  cpu: ' AMD EPYC 7R32'
+  cpu_count: 16
+  cpu_ram_mb: 66697.29792
+  system: Linux
+  machine: x86_64
+  platform: Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.29
+  processor: x86_64
+  python_version: 3.8.10
+  gpu:
+  - NVIDIA A10G
+  gpu_count: 1
+  gpu_vram_mb: 24146608128
+  optimum_benchmark_version: 0.2.1
+  optimum_benchmark_commit: null
+  transformers_version: 4.42.0.dev0
+  transformers_commit: b7672826cad31e30319487af876e608d8af7d37b
+  accelerate_version: 0.32.0.dev0
+  accelerate_commit: null
+  diffusers_version: null
+  diffusers_commit: null
+  optimum_version: 1.21.0.dev0
+  optimum_commit: null
+  timm_version: 0.9.16
+  timm_commit: null
+  peft_version: 0.11.2.dev0
+  peft_commit: null

2024-06-14/commit=b7672826cad31e30319487af876e608d8af7d37b/backend.cache_implementation=null,backend.model=google/gemma-2b,backend.torch_compile=False/.hydra/hydra.yaml

@@ -0,0 +1,141 @@
+hydra:
+  run:
+    dir: _benchmark/tmpkd4hzdi_/commit=b7672826cad31e30319487af876e608d8af7d37b/${hydra.job.override_dirname}
+  sweep:
+    dir: _benchmark/tmpkd4hzdi_/commit=b7672826cad31e30319487af876e608d8af7d37b
+    subdir: ${hydra.job.override_dirname}
+  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)
+
+
+      $HYDRA_CONFIG_GROUPS
+
+
+      Use ''--cfg hydra'' to Show the Hydra config.
+
+      '
+    hydra_help: ???
+  hydra_logging:
+    version: 1
+    root:
+      level: ERROR
+    disable_existing_loggers: true
+  job_logging:
+    version: 1
+    root:
+      level: ERROR
+    disable_existing_loggers: true
+  env: {}
+  mode: MULTIRUN
+  searchpath: []
+  callbacks: {}
+  output_subdir: .hydra
+  overrides:
+    hydra:
+    - hydra/job_logging=disabled
+    - hydra/hydra_logging=disabled
+    - hydra.sweep.dir=_benchmark/tmpkd4hzdi_/commit\=b7672826cad31e30319487af876e608d8af7d37b
+    - hydra.run.dir=_benchmark/tmpkd4hzdi_/commit\=b7672826cad31e30319487af876e608d8af7d37b/${hydra.job.override_dirname}
+    - hydra.mode=MULTIRUN
+    task:
+    - backend.model=google/gemma-2b
+    - backend.cache_implementation=null
+    - backend.torch_compile=False
+  job:
+    name: cli
+    chdir: true
+    override_dirname: backend.cache_implementation=null,backend.model=google/gemma-2b,backend.torch_compile=False
+    id: '0'
+    num: 0
+    config_name: generation
+    env_set:
+      OVERRIDE_BENCHMARKS: '1'
+      LOG_LEVEL: WARN
+    env_copy: []
+    config:
+      override_dirname:
+        kv_sep: '='
+        item_sep: ','
+        exclude_keys: []
+  runtime:
+    version: 1.3.2
+    version_base: '1.3'
+    cwd: /transformers
+    config_sources:
+    - path: hydra.conf
+      schema: pkg
+      provider: hydra
+    - path: optimum_benchmark
+      schema: pkg
+      provider: main
+    - path: /transformers/benchmark/config
+      schema: file
+      provider: command-line
+    - path: ''
+      schema: structured
+      provider: schema
+    output_dir: /transformers/_benchmark/tmpkd4hzdi_/commit=b7672826cad31e30319487af876e608d8af7d37b/backend.cache_implementation=null,backend.model=google/gemma-2b,backend.torch_compile=False
+    choices:
+      backend: pytorch
+      launcher: process
+      scenario: inference
+      hydra/env: default
+      hydra/callbacks: null
+      hydra/job_logging: disabled
+      hydra/hydra_logging: disabled
+      hydra/hydra_help: default
+      hydra/help: default
+      hydra/sweeper: basic
+      hydra/launcher: basic
+      hydra/output: default
+  verbose: false

2024-06-14/commit=b7672826cad31e30319487af876e608d8af7d37b/backend.cache_implementation=null,backend.model=google/gemma-2b,backend.torch_compile=False/.hydra/overrides.yaml

@@ -0,0 +1,3 @@
+- backend.model=google/gemma-2b
+- backend.cache_implementation=null
+- backend.torch_compile=False

2024-06-14/commit=b7672826cad31e30319487af876e608d8af7d37b/backend.cache_implementation=null,backend.model=google/gemma-2b,backend.torch_compile=False/benchmark.json

@@ -0,0 +1,443 @@
+{
+    "config": {
+        "name": "pytorch_generate",
+        "backend": {
+            "name": "pytorch",
+            "version": "2.3.0+cu121",
+            "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
+            "task": "text-generation",
+            "library": "transformers",
+            "model": "google/gemma-2b",
+            "processor": "google/gemma-2b",
+            "device": "cuda",
+            "device_ids": "0",
+            "seed": 42,
+            "inter_op_num_threads": null,
+            "intra_op_num_threads": null,
+            "model_kwargs": {},
+            "processor_kwargs": {},
+            "hub_kwargs": {},
+            "no_weights": true,
+            "device_map": null,
+            "torch_dtype": "float16",
+            "eval_mode": true,
+            "to_bettertransformer": false,
+            "low_cpu_mem_usage": null,
+            "attn_implementation": null,
+            "cache_implementation": null,
+            "autocast_enabled": false,
+            "autocast_dtype": null,
+            "torch_compile": false,
+            "torch_compile_target": "forward",
+            "torch_compile_config": {
+                "backend": "inductor",
+                "mode": "reduce-overhead",
+                "fullgraph": true
+            },
+            "quantization_scheme": null,
+            "quantization_config": {},
+            "deepspeed_inference": false,
+            "deepspeed_inference_config": {},
+            "peft_type": null,
+            "peft_config": {}
+        },
+        "scenario": {
+            "name": "inference",
+            "_target_": "optimum_benchmark.scenarios.inference.scenario.InferenceScenario",
+            "iterations": 2,
+            "duration": 0,
+            "warmup_runs": 10,
+            "input_shapes": {
+                "batch_size": 1,
+                "num_choices": 2,
+                "sequence_length": 7
+            },
+            "new_tokens": null,
+            "latency": true,
+            "memory": true,
+            "energy": false,
+            "forward_kwargs": {},
+            "generate_kwargs": {
+                "max_new_tokens": 128,
+                "min_new_tokens": 128,
+                "do_sample": false
+            },
+            "call_kwargs": {}
+        },
+        "launcher": {
+            "name": "process",
+            "_target_": "optimum_benchmark.launchers.process.launcher.ProcessLauncher",
+            "device_isolation": true,
+            "device_isolation_action": "warn",
+            "start_method": "spawn"
+        },
+        "environment": {
+            "cpu": " AMD EPYC 7R32",
+            "cpu_count": 16,
+            "cpu_ram_mb": 66697.29792,
+            "system": "Linux",
+            "machine": "x86_64",
+            "platform": "Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.29",
+            "processor": "x86_64",
+            "python_version": "3.8.10",
+            "gpu": [
+                "NVIDIA A10G"
+            ],
+            "gpu_count": 1,
+            "gpu_vram_mb": 24146608128,
+            "optimum_benchmark_version": "0.2.1",
+            "optimum_benchmark_commit": null,
+            "transformers_version": "4.42.0.dev0",
+            "transformers_commit": "b7672826cad31e30319487af876e608d8af7d37b",
+            "accelerate_version": "0.32.0.dev0",
+            "accelerate_commit": null,
+            "diffusers_version": null,
+            "diffusers_commit": null,
+            "optimum_version": "1.21.0.dev0",
+            "optimum_commit": null,
+            "timm_version": "0.9.16",
+            "timm_commit": null,
+            "peft_version": "0.11.2.dev0",
+            "peft_commit": null
+        }
+    },
+    "report": {
+        "prefill": {
+            "memory": {
+                "unit": "MB",
+                "max_ram": 1703.899136,
+                "max_global_vram": 6793.199616,
+                "max_process_vram": 0.0,
+                "max_reserved": 6146.752512,
+                "max_allocated": 5034.576896
+            },
+            "latency": {
+                "unit": "s",
+                "count": 2,
+                "total": 0.0394006404876709,
+                "mean": 0.01970032024383545,
+                "stdev": 0.0002354879379272458,
+                "p50": 0.01970032024383545,
+                "p90": 0.019888710594177246,
+                "p95": 0.01991225938796997,
+                "p99": 0.01993109842300415,
+                "values": [
+                    0.019935808181762694,
+                    0.019464832305908203
+                ]
+            },
+            "throughput": {
+                "unit": "tokens/s",
+                "value": 355.3241730773597
+            },
+            "energy": null,
+            "efficiency": null
+        },
+        "decode": {
+            "memory": {
+                "unit": "MB",
+                "max_ram": 1703.989248,
+                "max_global_vram": 6795.296768,
+                "max_process_vram": 0.0,
+                "max_reserved": 6148.849664,
+                "max_allocated": 5034.577408
+            },
+            "latency": {
+                "unit": "s",
+                "count": 2,
+                "total": 4.782302001953125,
+                "mean": 2.3911510009765626,
+                "stdev": 0.004780395507812507,
+                "p50": 2.3911510009765626,
+                "p90": 2.3949753173828126,
+                "p95": 2.395453356933594,
+                "p99": 2.3958357885742187,
+                "values": [
+                    2.395931396484375,
+                    2.38637060546875
+                ]
+            },
+            "throughput": {
+                "unit": "tokens/s",
+                "value": 53.11249684697132
+            },
+            "energy": null,
+            "efficiency": null
+        },
+        "per_token": {
+            "memory": null,
+            "latency": {
+                "unit": "s",
+                "count": 253,
+                "total": 4.78247526359558,
+                "mean": 0.01890306428298649,
+                "stdev": 0.001235033105667377,
+                "p50": 0.0188272647857666,
+                "p90": 0.01889751091003418,
+                "p95": 0.01893766403198242,
+                "p99": 0.019935887908935544,
+                "values": [
+                    0.02027622413635254,
+                    0.01886617660522461,
+                    0.018725887298583984,
+                    0.018710527420043945,
+                    0.018686975479125977,
+                    0.018715648651123046,
+                    0.018711551666259766,
+                    0.018770944595336913,
+                    0.018714624404907225,
+                    0.018761728286743166,
+                    0.018751487731933594,
+                    0.018746368408203123,
+                    0.018746368408203123,
+                    0.018765823364257812,
+                    0.018710527420043945,
+                    0.018751487731933594,
+                    0.018897920608520507,
+                    0.018748416900634765,
+                    0.01880473518371582,
+                    0.018760704040527345,
+                    0.018743295669555664,
+                    0.01877299118041992,
+                    0.018698335647583008,
+                    0.018693023681640625,
+                    0.018775039672851563,
+                    0.018761728286743166,
+                    0.01877299118041992,
+                    0.018780160903930664,
+                    0.018722816467285155,
+                    0.018774015426635742,
+                    0.018726911544799805,
+                    0.018718719482421875,
+                    0.018744319915771485,
+                    0.018722816467285155,
+                    0.018759679794311524,
+                    0.018722816467285155,
+                    0.018700288772583007,
+                    0.0188272647857666,
+                    0.018815999984741212,
+                    0.018691072463989256,
+                    0.018959360122680666,
+                    0.018712575912475587,
+                    0.018576383590698242,
+                    0.018727935791015626,
+                    0.018684928894042968,
+                    0.018683904647827147,
+                    0.018765823364257812,
+                    0.018766847610473633,
+                    0.018742271423339844,
+                    0.018718719482421875,
+                    0.018723840713500976,
+                    0.018736127853393555,
+                    0.01893891143798828,
+                    0.01893475151062012,
+                    0.019166208267211913,
+                    0.019319807052612305,
+                    0.018884607315063476,
+                    0.018907136917114258,
+                    0.018832384109497072,
+                    0.01883647918701172,
+                    0.018915327072143554,
+                    0.018894847869873048,
+                    0.019323904037475585,
+                    0.018940927505493164,
+                    0.018899967193603515,
+                    0.018865152359008788,
+                    0.01886412811279297,
+                    0.01886412811279297,
+                    0.018876415252685547,
+                    0.018881536483764647,
+                    0.018851839065551757,
+                    0.01882521629333496,
+                    0.018893823623657227,
+                    0.018815999984741212,
+                    0.018852863311767578,
+                    0.018865152359008788,
+                    0.018869247436523438,
+                    0.018884607315063476,
+                    0.018876415252685547,
+                    0.018890752792358398,
+                    0.01887027168273926,
+                    0.018832384109497072,
+                    0.01881395149230957,
+                    0.01884774398803711,
+                    0.01885491180419922,
+                    0.01882521629333496,
+                    0.018869247436523438,
+                    0.01880985641479492,
+                    0.0188590087890625,
+                    0.018930688858032226,
+                    0.01884979248046875,
+                    0.018865152359008788,
+                    0.018860031127929687,
+                    0.018856960296630858,
+                    0.01883852767944336,
+                    0.01887539291381836,
+                    0.018856960296630858,
+                    0.018968576431274413,
+                    0.01881907272338867,
+                    0.018851839065551757,
+                    0.01885798454284668,
+                    0.018890752792358398,
+                    0.01884979248046875,
+                    0.018898944854736328,
+                    0.01887948799133301,
+                    0.01884262466430664,
+                    0.018817024230957033,
+                    0.01883955192565918,
+                    0.01886412811279297,
+                    0.01879449653625488,
+                    0.01883545684814453,
+                    0.018851839065551757,
+                    0.01886720085144043,
+                    0.01886617660522461,
+                    0.01883852767944336,
+                    0.018865152359008788,
+                    0.019803136825561524,
+                    0.020065280914306642,
+                    0.01981644821166992,
+                    0.018902015686035157,
+                    0.01883033561706543,
+                    0.0189040641784668,
+                    0.018799615859985352,
+                    0.01881497573852539,
+                    0.01886310386657715,
+                    0.01887027168273926,
+                    0.03829043197631836,
+                    0.01860505676269531,
+                    0.01861324882507324,
+                    0.018685951232910156,
+                    0.01863987159729004,
+                    0.018695167541503906,
+                    0.018703359603881836,
+                    0.018679807662963867,
+                    0.0186746883392334,
+                    0.018716672897338867,
+                    0.018710527420043945,
+                    0.018726911544799805,
+                    0.018715648651123046,
+                    0.018689023971557618,
+                    0.018721792221069337,
+                    0.018732032775878905,
+                    0.018671615600585938,
+                    0.01865830421447754,
+                    0.018707487106323244,
+                    0.01871971130371094,
+                    0.018726911544799805,
+                    0.018714624404907225,
+                    0.01868185615539551,
+                    0.018712575912475587,
+                    0.018715648651123046,
+                    0.018677759170532226,
+                    0.018695167541503906,
+                    0.018704383850097657,
+                    0.018751487731933594,
+                    0.018733055114746093,
+                    0.018752511978149415,
+                    0.018757631301879883,
+                    0.018701311111450195,
+                    0.018718719482421875,
+                    0.018792448043823243,
+                    0.018689023971557618,
+                    0.01868083190917969,
+                    0.018726911544799805,
+                    0.0187064323425293,
+                    0.018708480834960937,
+                    0.01868083190917969,
+                    0.018684928894042968,
+                    0.018694143295288086,
+                    0.018664512634277344,
+                    0.018683839797973632,
+                    0.01864396858215332,
+                    0.018693119049072265,
+                    0.018716672897338867,
+                    0.0187064323425293,
+                    0.018759679794311524,
+                    0.018718719482421875,
+                    0.018726911544799805,
+                    0.018694143295288086,
+                    0.018689023971557618,
+                    0.018724863052368163,
+                    0.018700288772583007,
+                    0.018682880401611326,
+                    0.01887027168273926,
+                    0.018936832427978514,
+                    0.018700288772583007,
+                    0.018691072463989256,
+                    0.01884876823425293,
+                    0.018877439498901367,
+                    0.018926591873168946,
+                    0.018883583068847656,
+                    0.01889587211608887,
+                    0.0188723201751709,
+                    0.018885631561279297,
+                    0.01884160041809082,
+                    0.01884671974182129,
+                    0.018880512237548826,
+                    0.01884876823425293,
+                    0.018865152359008788,
+                    0.018881536483764647,
+                    0.018865152359008788,
+                    0.01884876823425293,
+                    0.018834495544433595,
+                    0.018893760681152345,
+                    0.01885491180419922,
+                    0.018886655807495118,
+                    0.01888768005371094,
+                    0.018815999984741212,
+                    0.018894847869873048,
+                    0.01884262466430664,
+                    0.018807807922363282,
+                    0.01883545684814453,
+                    0.018883583068847656,
+                    0.018906112670898437,
+                    0.01885798454284668,
+                    0.01883443260192871,
+                    0.018856960296630858,
+                    0.018844671249389648,
+                    0.01883955192565918,
+                    0.01882828712463379,
+                    0.01883647918701172,
+                    0.01886310386657715,
+                    0.018928640365600585,
+                    0.018861055374145508,
+                    0.018873344421386717,
+                    0.018832384109497072,
+                    0.01887948799133301,
+                    0.018851839065551757,
+                    0.018865152359008788,
+                    0.01887027168273926,
+                    0.01883443260192871,
+                    0.01887129592895508,
+                    0.018894847869873048,
+                    0.01882624053955078,
+                    0.018832384109497072,
+                    0.01886412811279297,
+                    0.01881907272338867,
+                    0.0188272647857666,
+                    0.018883583068847656,
+                    0.01878937530517578,
+                    0.018852863311767578,
+                    0.01883033561706543,
+                    0.018795520782470702,
+                    0.018770944595336913,
+                    0.018795520782470702,
+                    0.018817024230957033,
+                    0.01884671974182129,
+                    0.01885491180419922,
+                    0.018869247436523438,
+                    0.01879449653625488,
+                    0.0188221435546875,
+                    0.01887846374511719,
+                    0.019596288681030274
+                ]
+            },
+            "throughput": {
+                "unit": "tokens/s",
+                "value": 52.90147592102513
+            },
+            "energy": null,
+            "efficiency": null
+        }
+    }
+}

2024-06-14/commit=b7672826cad31e30319487af876e608d8af7d37b/backend.cache_implementation=null,backend.model=google/gemma-2b,backend.torch_compile=False/benchmark_config.json

@@ -0,0 +1,102 @@
+{
+    "name": "pytorch_generate",
+    "backend": {
+        "name": "pytorch",
+        "version": "2.3.0+cu121",
+        "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
+        "task": "text-generation",
+        "library": "transformers",
+        "model": "google/gemma-2b",
+        "processor": "google/gemma-2b",
+        "device": "cuda",
+        "device_ids": "0",
+        "seed": 42,
+        "inter_op_num_threads": null,
+        "intra_op_num_threads": null,
+        "model_kwargs": {},
+        "processor_kwargs": {},
+        "hub_kwargs": {},
+        "no_weights": true,
+        "device_map": null,
+        "torch_dtype": "float16",
+        "eval_mode": true,
+        "to_bettertransformer": false,
+        "low_cpu_mem_usage": null,
+        "attn_implementation": null,
+        "cache_implementation": null,
+        "autocast_enabled": false,
+        "autocast_dtype": null,
+        "torch_compile": false,
+        "torch_compile_target": "forward",
+        "torch_compile_config": {
+            "backend": "inductor",
+            "mode": "reduce-overhead",
+            "fullgraph": true
+        },
+        "quantization_scheme": null,
+        "quantization_config": {},
+        "deepspeed_inference": false,
+        "deepspeed_inference_config": {},
+        "peft_type": null,
+        "peft_config": {}
+    },
+    "scenario": {
+        "name": "inference",
+        "_target_": "optimum_benchmark.scenarios.inference.scenario.InferenceScenario",
+        "iterations": 2,
+        "duration": 0,
+        "warmup_runs": 10,
+        "input_shapes": {
+            "batch_size": 1,
+            "num_choices": 2,
+            "sequence_length": 7
+        },
+        "new_tokens": null,
+        "latency": true,
+        "memory": true,
+        "energy": false,
+        "forward_kwargs": {},
+        "generate_kwargs": {
+            "max_new_tokens": 128,
+            "min_new_tokens": 128,
+            "do_sample": false
+        },
+        "call_kwargs": {}
+    },
+    "launcher": {
+        "name": "process",
+        "_target_": "optimum_benchmark.launchers.process.launcher.ProcessLauncher",
+        "device_isolation": true,
+        "device_isolation_action": "warn",
+        "start_method": "spawn"
+    },
+    "environment": {
+        "cpu": " AMD EPYC 7R32",
+        "cpu_count": 16,
+        "cpu_ram_mb": 66697.29792,
+        "system": "Linux",
+        "machine": "x86_64",
+        "platform": "Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.29",
+        "processor": "x86_64",
+        "python_version": "3.8.10",
+        "gpu": [
+            "NVIDIA A10G"
+        ],
+        "gpu_count": 1,
+        "gpu_vram_mb": 24146608128,
+        "optimum_benchmark_version": "0.2.1",
+        "optimum_benchmark_commit": null,
+        "transformers_version": "4.42.0.dev0",
+        "transformers_commit": "b7672826cad31e30319487af876e608d8af7d37b",
+        "accelerate_version": "0.32.0.dev0",
+        "accelerate_commit": null,
+        "diffusers_version": null,
+        "diffusers_commit": null,
+        "optimum_version": "1.21.0.dev0",
+        "optimum_commit": null,
+        "timm_version": "0.9.16",
+        "timm_commit": null,
+        "peft_version": "0.11.2.dev0",
+        "peft_commit": null
+    }
+}

2024-06-14/commit=b7672826cad31e30319487af876e608d8af7d37b/backend.cache_implementation=null,backend.model=google/gemma-2b,backend.torch_compile=False/benchmark_report.json

@@ -0,0 +1,339 @@
+{
+    "prefill": {
+        "memory": {
+            "unit": "MB",
+            "max_ram": 1703.899136,
+            "max_global_vram": 6793.199616,
+            "max_process_vram": 0.0,
+            "max_reserved": 6146.752512,
+            "max_allocated": 5034.576896
+        },
+        "latency": {
+            "unit": "s",
+            "count": 2,
+            "total": 0.0394006404876709,
+            "mean": 0.01970032024383545,
+            "stdev": 0.0002354879379272458,
+            "p50": 0.01970032024383545,
+            "p90": 0.019888710594177246,
+            "p95": 0.01991225938796997,
+            "p99": 0.01993109842300415,
+            "values": [
+                0.019935808181762694,
+                0.019464832305908203
+            ]
+        },
+        "throughput": {
+            "unit": "tokens/s",
+            "value": 355.3241730773597
+        },
+        "energy": null,
+        "efficiency": null
+    },
+    "decode": {
+        "memory": {
+            "unit": "MB",
+            "max_ram": 1703.989248,
+            "max_global_vram": 6795.296768,
+            "max_process_vram": 0.0,
+            "max_reserved": 6148.849664,
+            "max_allocated": 5034.577408
+        },
+        "latency": {
+            "unit": "s",
+            "count": 2,
+            "total": 4.782302001953125,
+            "mean": 2.3911510009765626,
+            "stdev": 0.004780395507812507,
+            "p50": 2.3911510009765626,
+            "p90": 2.3949753173828126,
+            "p95": 2.395453356933594,
+            "p99": 2.3958357885742187,
+            "values": [
+                2.395931396484375,
+                2.38637060546875
+            ]
+        },
+        "throughput": {
+            "unit": "tokens/s",
+            "value": 53.11249684697132
+        },
+        "energy": null,
+        "efficiency": null
+    },
+    "per_token": {
+        "memory": null,
+        "latency": {
+            "unit": "s",
+            "count": 253,
+            "total": 4.78247526359558,
+            "mean": 0.01890306428298649,
+            "stdev": 0.001235033105667377,
+            "p50": 0.0188272647857666,
+            "p90": 0.01889751091003418,
+            "p95": 0.01893766403198242,
+            "p99": 0.019935887908935544,
+            "values": [
+                0.02027622413635254,
+                0.01886617660522461,
+                0.018725887298583984,
+                0.018710527420043945,
+                0.018686975479125977,
+                0.018715648651123046,
+                0.018711551666259766,
+                0.018770944595336913,
+                0.018714624404907225,
+                0.018761728286743166,
+                0.018751487731933594,
+                0.018746368408203123,
+                0.018746368408203123,
+                0.018765823364257812,
+                0.018710527420043945,
+                0.018751487731933594,
+                0.018897920608520507,
+                0.018748416900634765,
+                0.01880473518371582,
+                0.018760704040527345,
+                0.018743295669555664,
+                0.01877299118041992,
+                0.018698335647583008,
+                0.018693023681640625,
+                0.018775039672851563,
+                0.018761728286743166,
+                0.01877299118041992,
+                0.018780160903930664,
+                0.018722816467285155,
+                0.018774015426635742,
+                0.018726911544799805,
+                0.018718719482421875,
+                0.018744319915771485,
+                0.018722816467285155,
+                0.018759679794311524,
+                0.018722816467285155,
+                0.018700288772583007,
+                0.0188272647857666,
+                0.018815999984741212,
+                0.018691072463989256,
+                0.018959360122680666,
+                0.018712575912475587,
+                0.018576383590698242,
+                0.018727935791015626,
+                0.018684928894042968,
+                0.018683904647827147,
+                0.018765823364257812,
+                0.018766847610473633,
+                0.018742271423339844,
+                0.018718719482421875,
+                0.018723840713500976,
+                0.018736127853393555,
+                0.01893891143798828,
+                0.01893475151062012,
+                0.019166208267211913,
+                0.019319807052612305,
+                0.018884607315063476,
+                0.018907136917114258,
+                0.018832384109497072,
+                0.01883647918701172,
+                0.018915327072143554,
+                0.018894847869873048,
+                0.019323904037475585,
+                0.018940927505493164,
+                0.018899967193603515,
+                0.018865152359008788,
+                0.01886412811279297,
+                0.01886412811279297,
+                0.018876415252685547,
+                0.018881536483764647,
+                0.018851839065551757,
+                0.01882521629333496,
+                0.018893823623657227,
+                0.018815999984741212,
+                0.018852863311767578,
+                0.018865152359008788,
+                0.018869247436523438,
+                0.018884607315063476,
+                0.018876415252685547,
+                0.018890752792358398,
+                0.01887027168273926,
+                0.018832384109497072,
+                0.01881395149230957,
+                0.01884774398803711,
+                0.01885491180419922,
+                0.01882521629333496,
+                0.018869247436523438,
+                0.01880985641479492,
+                0.0188590087890625,
+                0.018930688858032226,
+                0.01884979248046875,
+                0.018865152359008788,
+                0.018860031127929687,
+                0.018856960296630858,
+                0.01883852767944336,
+                0.01887539291381836,
+                0.018856960296630858,
+                0.018968576431274413,
+                0.01881907272338867,
+                0.018851839065551757,
+                0.01885798454284668,
+                0.018890752792358398,
+                0.01884979248046875,
+                0.018898944854736328,
+                0.01887948799133301,
+                0.01884262466430664,
+                0.018817024230957033,
+                0.01883955192565918,
+                0.01886412811279297,
+                0.01879449653625488,
+                0.01883545684814453,
+                0.018851839065551757,
+                0.01886720085144043,
+                0.01886617660522461,
+                0.01883852767944336,
+                0.018865152359008788,
+                0.019803136825561524,
+                0.020065280914306642,
+                0.01981644821166992,
+                0.018902015686035157,
+                0.01883033561706543,
+                0.0189040641784668,
+                0.018799615859985352,
+                0.01881497573852539,
+                0.01886310386657715,
+                0.01887027168273926,
+                0.03829043197631836,
+                0.01860505676269531,
+                0.01861324882507324,
+                0.018685951232910156,
+                0.01863987159729004,
+                0.018695167541503906,
+                0.018703359603881836,
+                0.018679807662963867,
+                0.0186746883392334,
+                0.018716672897338867,
+                0.018710527420043945,
+                0.018726911544799805,
+                0.018715648651123046,
+                0.018689023971557618,
+                0.018721792221069337,
+                0.018732032775878905,
+                0.018671615600585938,
+                0.01865830421447754,
+                0.018707487106323244,
+                0.01871971130371094,
+                0.018726911544799805,
+                0.018714624404907225,
+                0.01868185615539551,
+                0.018712575912475587,
+                0.018715648651123046,
+                0.018677759170532226,
+                0.018695167541503906,
+                0.018704383850097657,
+                0.018751487731933594,
+                0.018733055114746093,
+                0.018752511978149415,
+                0.018757631301879883,
+                0.018701311111450195,
+                0.018718719482421875,
+                0.018792448043823243,
+                0.018689023971557618,
+                0.01868083190917969,
+                0.018726911544799805,
+                0.0187064323425293,
+                0.018708480834960937,
+                0.01868083190917969,
+                0.018684928894042968,
+                0.018694143295288086,
+                0.018664512634277344,
+                0.018683839797973632,
+                0.01864396858215332,
+                0.018693119049072265,
+                0.018716672897338867,
+                0.0187064323425293,
+                0.018759679794311524,
+                0.018718719482421875,
+                0.018726911544799805,
+                0.018694143295288086,
+                0.018689023971557618,
+                0.018724863052368163,
+                0.018700288772583007,
+                0.018682880401611326,
+                0.01887027168273926,
+                0.018936832427978514,
+                0.018700288772583007,
+                0.018691072463989256,
+                0.01884876823425293,
+                0.018877439498901367,
+                0.018926591873168946,
+                0.018883583068847656,
+                0.01889587211608887,
+                0.0188723201751709,
+                0.018885631561279297,
+                0.01884160041809082,
+                0.01884671974182129,
+                0.018880512237548826,
+                0.01884876823425293,
+                0.018865152359008788,
+                0.018881536483764647,
+                0.018865152359008788,
+                0.01884876823425293,
+                0.018834495544433595,
+                0.018893760681152345,
+                0.01885491180419922,
+                0.018886655807495118,
+                0.01888768005371094,
+                0.018815999984741212,
+                0.018894847869873048,
+                0.01884262466430664,
+                0.018807807922363282,
+                0.01883545684814453,
+                0.018883583068847656,
+                0.018906112670898437,
+                0.01885798454284668,
+                0.01883443260192871,
+                0.018856960296630858,
+                0.018844671249389648,
+                0.01883955192565918,
+                0.01882828712463379,
+                0.01883647918701172,
+                0.01886310386657715,
+                0.018928640365600585,
+                0.018861055374145508,
+                0.018873344421386717,
+                0.018832384109497072,
+                0.01887948799133301,
+                0.018851839065551757,
+                0.018865152359008788,
+                0.01887027168273926,
+                0.01883443260192871,
+                0.01887129592895508,
+                0.018894847869873048,
+                0.01882624053955078,
+                0.018832384109497072,
+                0.01886412811279297,
+                0.01881907272338867,
+                0.0188272647857666,
+                0.018883583068847656,
+                0.01878937530517578,
+                0.018852863311767578,
+                0.01883033561706543,
+                0.018795520782470702,
+                0.018770944595336913,
+                0.018795520782470702,
+                0.018817024230957033,
+                0.01884671974182129,
+                0.01885491180419922,
+                0.018869247436523438,
+                0.01879449653625488,
+                0.0188221435546875,
+                0.01887846374511719,
+                0.019596288681030274
+            ]
+        },
+        "throughput": {
+            "unit": "tokens/s",
+            "value": 52.90147592102513
+        },
+        "energy": null,
+        "efficiency": null
+    }
+}

2024-06-14/commit=b7672826cad31e30319487af876e608d8af7d37b/backend.cache_implementation=null,backend.model=google/gemma-2b,backend.torch_compile=False/summary.json

@@ -0,0 +1,13 @@
+{
+    "model": "google/gemma-2b",
+    "commit": "b7672826cad31e30319487af876e608d8af7d37b",
+    "config": "backend.cache_implementation=null,backend.torch_compile=False",
+    "metrics": {
+        "prefill.latency.mean": 0.01970032024383545,
+        "prefill.throughput.value": 355.3241730773597,
+        "decode.latency.mean": 2.3911510009765626,
+        "decode.throughput.value": 53.11249684697132,
+        "per_token.latency.mean": 0.01890306428298649,
+        "per_token.throughput.value": 52.90147592102513
+    }
+}

2024-06-14/commit=b7672826cad31e30319487af876e608d8af7d37b/backend.cache_implementation=null,backend.model=google/gemma-2b,backend.torch_compile=True/.hydra/config.yaml

@@ -0,0 +1,91 @@
+name: pytorch_generate
+backend:
+  name: pytorch
+  version: 2.3.0+cu121
+  _target_: optimum_benchmark.backends.pytorch.backend.PyTorchBackend
+  task: null
+  library: null
+  model: google/gemma-2b
+  processor: null
+  device: cuda
+  device_ids: '0'
+  seed: 42
+  inter_op_num_threads: null
+  intra_op_num_threads: null
+  model_kwargs: {}
+  processor_kwargs: {}
+  hub_kwargs: {}
+  no_weights: true
+  device_map: null
+  torch_dtype: float16
+  eval_mode: true
+  to_bettertransformer: false
+  low_cpu_mem_usage: null
+  attn_implementation: null
+  cache_implementation: null
+  autocast_enabled: false
+  autocast_dtype: null
+  torch_compile: true
+  torch_compile_target: forward
+  torch_compile_config:
+    backend: inductor
+    mode: reduce-overhead
+    fullgraph: true
+  quantization_scheme: null
+  quantization_config: {}
+  deepspeed_inference: false
+  deepspeed_inference_config: {}
+  peft_type: null
+  peft_config: {}
+scenario:
+  name: inference
+  _target_: optimum_benchmark.scenarios.inference.scenario.InferenceScenario
+  iterations: 2
+  duration: 0
+  warmup_runs: 10
+  input_shapes:
+    batch_size: 1
+    sequence_length: 7
+  new_tokens: null
+  latency: true
+  memory: true
+  energy: false
+  forward_kwargs: {}
+  generate_kwargs:
+    max_new_tokens: 128
+    min_new_tokens: 128
+    do_sample: false
+  call_kwargs: {}
+launcher:
+  name: process
+  _target_: optimum_benchmark.launchers.process.launcher.ProcessLauncher
+  device_isolation: true
+  device_isolation_action: warn
+  start_method: spawn
+environment:
+  cpu: ' AMD EPYC 7R32'
+  cpu_count: 16
+  cpu_ram_mb: 66697.29792
+  system: Linux
+  machine: x86_64
+  platform: Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.29
+  processor: x86_64
+  python_version: 3.8.10
+  gpu:
+  - NVIDIA A10G
+  gpu_count: 1
+  gpu_vram_mb: 24146608128
+  optimum_benchmark_version: 0.2.1
+  optimum_benchmark_commit: null
+  transformers_version: 4.42.0.dev0
+  transformers_commit: b7672826cad31e30319487af876e608d8af7d37b
+  accelerate_version: 0.32.0.dev0
+  accelerate_commit: null
+  diffusers_version: null
+  diffusers_commit: null
+  optimum_version: 1.21.0.dev0
+  optimum_commit: null
+  timm_version: 0.9.16
+  timm_commit: null
+  peft_version: 0.11.2.dev0
+  peft_commit: null

2024-06-14/commit=b7672826cad31e30319487af876e608d8af7d37b/backend.cache_implementation=null,backend.model=google/gemma-2b,backend.torch_compile=True/.hydra/hydra.yaml

@@ -0,0 +1,141 @@
+hydra:
+  run:
+    dir: _benchmark/tmpkd4hzdi_/commit=b7672826cad31e30319487af876e608d8af7d37b/${hydra.job.override_dirname}
+  sweep:
+    dir: _benchmark/tmpkd4hzdi_/commit=b7672826cad31e30319487af876e608d8af7d37b
+    subdir: ${hydra.job.override_dirname}
+  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)
+
+
+      $HYDRA_CONFIG_GROUPS
+
+
+      Use ''--cfg hydra'' to Show the Hydra config.
+
+      '
+    hydra_help: ???
+  hydra_logging:
+    version: 1
+    root:
+      level: ERROR
+    disable_existing_loggers: true
+  job_logging:
+    version: 1
+    root:
+      level: ERROR
+    disable_existing_loggers: true
+  env: {}
+  mode: MULTIRUN
+  searchpath: []
+  callbacks: {}
+  output_subdir: .hydra
+  overrides:
+    hydra:
+    - hydra/job_logging=disabled
+    - hydra/hydra_logging=disabled
+    - hydra.sweep.dir=_benchmark/tmpkd4hzdi_/commit\=b7672826cad31e30319487af876e608d8af7d37b
+    - hydra.run.dir=_benchmark/tmpkd4hzdi_/commit\=b7672826cad31e30319487af876e608d8af7d37b/${hydra.job.override_dirname}
+    - hydra.mode=MULTIRUN
+    task:
+    - backend.model=google/gemma-2b
+    - backend.cache_implementation=null
+    - backend.torch_compile=True
+  job:
+    name: cli
+    chdir: true
+    override_dirname: backend.cache_implementation=null,backend.model=google/gemma-2b,backend.torch_compile=True
+    id: '1'
+    num: 1
+    config_name: generation
+    env_set:
+      OVERRIDE_BENCHMARKS: '1'
+      LOG_LEVEL: WARN
+    env_copy: []
+    config:
+      override_dirname:
+        kv_sep: '='
+        item_sep: ','
+        exclude_keys: []
+  runtime:
+    version: 1.3.2
+    version_base: '1.3'
+    cwd: /transformers
+    config_sources:
+    - path: hydra.conf
+      schema: pkg
+      provider: hydra
+    - path: optimum_benchmark
+      schema: pkg
+      provider: main
+    - path: /transformers/benchmark/config
+      schema: file
+      provider: command-line
+    - path: ''
+      schema: structured
+      provider: schema
+    output_dir: /transformers/_benchmark/tmpkd4hzdi_/commit=b7672826cad31e30319487af876e608d8af7d37b/backend.cache_implementation=null,backend.model=google/gemma-2b,backend.torch_compile=True
+    choices:
+      backend: pytorch
+      launcher: process
+      scenario: inference
+      hydra/env: default
+      hydra/callbacks: null
+      hydra/job_logging: disabled
+      hydra/hydra_logging: disabled
+      hydra/hydra_help: default
+      hydra/help: default
+      hydra/sweeper: basic
+      hydra/launcher: basic
+      hydra/output: default
+  verbose: false

2024-06-14/commit=b7672826cad31e30319487af876e608d8af7d37b/backend.cache_implementation=null,backend.model=google/gemma-2b,backend.torch_compile=True/.hydra/overrides.yaml

@@ -0,0 +1,3 @@
+- backend.model=google/gemma-2b
+- backend.cache_implementation=null
+- backend.torch_compile=True

2024-06-14/commit=b7672826cad31e30319487af876e608d8af7d37b/backend.cache_implementation=null,backend.model=google/gemma-2b,backend.torch_compile=True/benchmark.log

@@ -0,0 +1 @@
+[ISOLATED-PROCESS][2024-06-14 02:35:15,257][process][ERROR] - 	+ Sending traceback to main process

2024-06-14/commit=b7672826cad31e30319487af876e608d8af7d37b/backend.cache_implementation=null,backend.model=google/gemma-2b,backend.torch_compile=True/benchmark_config.json

@@ -0,0 +1,102 @@
+{
+    "name": "pytorch_generate",
+    "backend": {
+        "name": "pytorch",
+        "version": "2.3.0+cu121",
+        "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
+        "task": "text-generation",
+        "library": "transformers",
+        "model": "google/gemma-2b",
+        "processor": "google/gemma-2b",
+        "device": "cuda",
+        "device_ids": "0",
+        "seed": 42,
+        "inter_op_num_threads": null,
+        "intra_op_num_threads": null,
+        "model_kwargs": {},
+        "processor_kwargs": {},
+        "hub_kwargs": {},
+        "no_weights": true,
+        "device_map": null,
+        "torch_dtype": "float16",
+        "eval_mode": true,
+        "to_bettertransformer": false,
+        "low_cpu_mem_usage": null,
+        "attn_implementation": null,
+        "cache_implementation": null,
+        "autocast_enabled": false,
+        "autocast_dtype": null,
+        "torch_compile": true,
+        "torch_compile_target": "forward",
+        "torch_compile_config": {
+            "backend": "inductor",
+            "mode": "reduce-overhead",
+            "fullgraph": true
+        },
+        "quantization_scheme": null,
+        "quantization_config": {},
+        "deepspeed_inference": false,
+        "deepspeed_inference_config": {},
+        "peft_type": null,
+        "peft_config": {}
+    },
+    "scenario": {
+        "name": "inference",
+        "_target_": "optimum_benchmark.scenarios.inference.scenario.InferenceScenario",
+        "iterations": 2,
+        "duration": 0,
+        "warmup_runs": 10,
+        "input_shapes": {
+            "batch_size": 1,
+            "num_choices": 2,
+            "sequence_length": 7
+        },
+        "new_tokens": null,
+        "latency": true,
+        "memory": true,
+        "energy": false,
+        "forward_kwargs": {},
+        "generate_kwargs": {
+            "max_new_tokens": 128,
+            "min_new_tokens": 128,
+            "do_sample": false
+        },
+        "call_kwargs": {}
+    },
+    "launcher": {
+        "name": "process",
+        "_target_": "optimum_benchmark.launchers.process.launcher.ProcessLauncher",
+        "device_isolation": true,
+        "device_isolation_action": "warn",
+        "start_method": "spawn"
+    },
+    "environment": {
+        "cpu": " AMD EPYC 7R32",
+        "cpu_count": 16,
+        "cpu_ram_mb": 66697.29792,
+        "system": "Linux",
+        "machine": "x86_64",
+        "platform": "Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.29",
+        "processor": "x86_64",
+        "python_version": "3.8.10",
+        "gpu": [
+            "NVIDIA A10G"
+        ],
+        "gpu_count": 1,
+        "gpu_vram_mb": 24146608128,
+        "optimum_benchmark_version": "0.2.1",
+        "optimum_benchmark_commit": null,
+        "transformers_version": "4.42.0.dev0",
+        "transformers_commit": "b7672826cad31e30319487af876e608d8af7d37b",
+        "accelerate_version": "0.32.0.dev0",
+        "accelerate_commit": null,
+        "diffusers_version": null,
+        "diffusers_commit": null,
+        "optimum_version": "1.21.0.dev0",
+        "optimum_commit": null,
+        "timm_version": "0.9.16",
+        "timm_commit": null,
+        "peft_version": "0.11.2.dev0",
+        "peft_commit": null
+    }
+}

2024-06-14/commit=b7672826cad31e30319487af876e608d8af7d37b/backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=False/.hydra/config.yaml

@@ -0,0 +1,91 @@
+name: pytorch_generate
+backend:
+  name: pytorch
+  version: 2.3.0+cu121
+  _target_: optimum_benchmark.backends.pytorch.backend.PyTorchBackend
+  task: null
+  library: null
+  model: google/gemma-2b
+  processor: null
+  device: cuda
+  device_ids: '0'
+  seed: 42
+  inter_op_num_threads: null
+  intra_op_num_threads: null
+  model_kwargs: {}
+  processor_kwargs: {}
+  hub_kwargs: {}
+  no_weights: true
+  device_map: null
+  torch_dtype: float16
+  eval_mode: true
+  to_bettertransformer: false
+  low_cpu_mem_usage: null
+  attn_implementation: null
+  cache_implementation: static
+  autocast_enabled: false
+  autocast_dtype: null
+  torch_compile: false
+  torch_compile_target: forward
+  torch_compile_config:
+    backend: inductor
+    mode: reduce-overhead
+    fullgraph: true
+  quantization_scheme: null
+  quantization_config: {}
+  deepspeed_inference: false
+  deepspeed_inference_config: {}
+  peft_type: null
+  peft_config: {}
+scenario:
+  name: inference
+  _target_: optimum_benchmark.scenarios.inference.scenario.InferenceScenario
+  iterations: 2
+  duration: 0
+  warmup_runs: 10
+  input_shapes:
+    batch_size: 1
+    sequence_length: 7
+  new_tokens: null
+  latency: true
+  memory: true
+  energy: false
+  forward_kwargs: {}
+  generate_kwargs:
+    max_new_tokens: 128
+    min_new_tokens: 128
+    do_sample: false
+  call_kwargs: {}
+launcher:
+  name: process
+  _target_: optimum_benchmark.launchers.process.launcher.ProcessLauncher
+  device_isolation: true
+  device_isolation_action: warn
+  start_method: spawn
+environment:
+  cpu: ' AMD EPYC 7R32'
+  cpu_count: 16
+  cpu_ram_mb: 66697.29792
+  system: Linux
+  machine: x86_64
+  platform: Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.29
+  processor: x86_64
+  python_version: 3.8.10
+  gpu:
+  - NVIDIA A10G
+  gpu_count: 1
+  gpu_vram_mb: 24146608128
+  optimum_benchmark_version: 0.2.1
+  optimum_benchmark_commit: null
+  transformers_version: 4.42.0.dev0
+  transformers_commit: b7672826cad31e30319487af876e608d8af7d37b
+  accelerate_version: 0.32.0.dev0
+  accelerate_commit: null
+  diffusers_version: null
+  diffusers_commit: null
+  optimum_version: 1.21.0.dev0
+  optimum_commit: null
+  timm_version: 0.9.16
+  timm_commit: null
+  peft_version: 0.11.2.dev0
+  peft_commit: null

2024-06-14/commit=b7672826cad31e30319487af876e608d8af7d37b/backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=False/.hydra/hydra.yaml

@@ -0,0 +1,141 @@
+hydra:
+  run:
+    dir: _benchmark/tmpkd4hzdi_/commit=b7672826cad31e30319487af876e608d8af7d37b/${hydra.job.override_dirname}
+  sweep:
+    dir: _benchmark/tmpkd4hzdi_/commit=b7672826cad31e30319487af876e608d8af7d37b
+    subdir: ${hydra.job.override_dirname}
+  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)
+
+
+      $HYDRA_CONFIG_GROUPS
+
+
+      Use ''--cfg hydra'' to Show the Hydra config.
+
+      '
+    hydra_help: ???
+  hydra_logging:
+    version: 1
+    root:
+      level: ERROR
+    disable_existing_loggers: true
+  job_logging:
+    version: 1
+    root:
+      level: ERROR
+    disable_existing_loggers: true
+  env: {}
+  mode: MULTIRUN
+  searchpath: []
+  callbacks: {}
+  output_subdir: .hydra
+  overrides:
+    hydra:
+    - hydra/job_logging=disabled
+    - hydra/hydra_logging=disabled
+    - hydra.sweep.dir=_benchmark/tmpkd4hzdi_/commit\=b7672826cad31e30319487af876e608d8af7d37b
+    - hydra.run.dir=_benchmark/tmpkd4hzdi_/commit\=b7672826cad31e30319487af876e608d8af7d37b/${hydra.job.override_dirname}
+    - hydra.mode=MULTIRUN
+    task:
+    - backend.model=google/gemma-2b
+    - backend.cache_implementation=static
+    - backend.torch_compile=False
+  job:
+    name: cli
+    chdir: true
+    override_dirname: backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=False
+    id: '2'
+    num: 2
+    config_name: generation
+    env_set:
+      OVERRIDE_BENCHMARKS: '1'
+      LOG_LEVEL: WARN
+    env_copy: []
+    config:
+      override_dirname:
+        kv_sep: '='
+        item_sep: ','
+        exclude_keys: []
+  runtime:
+    version: 1.3.2
+    version_base: '1.3'
+    cwd: /transformers
+    config_sources:
+    - path: hydra.conf
+      schema: pkg
+      provider: hydra
+    - path: optimum_benchmark
+      schema: pkg
+      provider: main
+    - path: /transformers/benchmark/config
+      schema: file
+      provider: command-line
+    - path: ''
+      schema: structured
+      provider: schema
+    output_dir: /transformers/_benchmark/tmpkd4hzdi_/commit=b7672826cad31e30319487af876e608d8af7d37b/backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=False
+    choices:
+      backend: pytorch
+      launcher: process
+      scenario: inference
+      hydra/env: default
+      hydra/callbacks: null
+      hydra/job_logging: disabled
+      hydra/hydra_logging: disabled
+      hydra/hydra_help: default
+      hydra/help: default
+      hydra/sweeper: basic
+      hydra/launcher: basic
+      hydra/output: default
+  verbose: false

2024-06-14/commit=b7672826cad31e30319487af876e608d8af7d37b/backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=False/.hydra/overrides.yaml

@@ -0,0 +1,3 @@
+- backend.model=google/gemma-2b
+- backend.cache_implementation=static
+- backend.torch_compile=False

2024-06-14/commit=b7672826cad31e30319487af876e608d8af7d37b/backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=False/benchmark.json

@@ -0,0 +1,443 @@
+{
+    "config": {
+        "name": "pytorch_generate",
+        "backend": {
+            "name": "pytorch",
+            "version": "2.3.0+cu121",
+            "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
+            "task": "text-generation",
+            "library": "transformers",
+            "model": "google/gemma-2b",
+            "processor": "google/gemma-2b",
+            "device": "cuda",
+            "device_ids": "0",
+            "seed": 42,
+            "inter_op_num_threads": null,
+            "intra_op_num_threads": null,
+            "model_kwargs": {},
+            "processor_kwargs": {},
+            "hub_kwargs": {},
+            "no_weights": true,
+            "device_map": null,
+            "torch_dtype": "float16",
+            "eval_mode": true,
+            "to_bettertransformer": false,
+            "low_cpu_mem_usage": null,
+            "attn_implementation": null,
+            "cache_implementation": "static",
+            "autocast_enabled": false,
+            "autocast_dtype": null,
+            "torch_compile": false,
+            "torch_compile_target": "forward",
+            "torch_compile_config": {
+                "backend": "inductor",
+                "mode": "reduce-overhead",
+                "fullgraph": true
+            },
+            "quantization_scheme": null,
+            "quantization_config": {},
+            "deepspeed_inference": false,
+            "deepspeed_inference_config": {},
+            "peft_type": null,
+            "peft_config": {}
+        },
+        "scenario": {
+            "name": "inference",
+            "_target_": "optimum_benchmark.scenarios.inference.scenario.InferenceScenario",
+            "iterations": 2,
+            "duration": 0,
+            "warmup_runs": 10,
+            "input_shapes": {
+                "batch_size": 1,
+                "num_choices": 2,
+                "sequence_length": 7
+            },
+            "new_tokens": null,
+            "latency": true,
+            "memory": true,
+            "energy": false,
+            "forward_kwargs": {},
+            "generate_kwargs": {
+                "max_new_tokens": 128,
+                "min_new_tokens": 128,
+                "do_sample": false
+            },
+            "call_kwargs": {}
+        },
+        "launcher": {
+            "name": "process",
+            "_target_": "optimum_benchmark.launchers.process.launcher.ProcessLauncher",
+            "device_isolation": true,
+            "device_isolation_action": "warn",
+            "start_method": "spawn"
+        },
+        "environment": {
+            "cpu": " AMD EPYC 7R32",
+            "cpu_count": 16,
+            "cpu_ram_mb": 66697.29792,
+            "system": "Linux",
+            "machine": "x86_64",
+            "platform": "Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.29",
+            "processor": "x86_64",
+            "python_version": "3.8.10",
+            "gpu": [
+                "NVIDIA A10G"
+            ],
+            "gpu_count": 1,
+            "gpu_vram_mb": 24146608128,
+            "optimum_benchmark_version": "0.2.1",
+            "optimum_benchmark_commit": null,
+            "transformers_version": "4.42.0.dev0",
+            "transformers_commit": "b7672826cad31e30319487af876e608d8af7d37b",
+            "accelerate_version": "0.32.0.dev0",
+            "accelerate_commit": null,
+            "diffusers_version": null,
+            "diffusers_commit": null,
+            "optimum_version": "1.21.0.dev0",
+            "optimum_commit": null,
+            "timm_version": "0.9.16",
+            "timm_commit": null,
+            "peft_version": "0.11.2.dev0",
+            "peft_commit": null
+        }
+    },
+    "report": {
+        "prefill": {
+            "memory": {
+                "unit": "MB",
+                "max_ram": 1769.92256,
+                "max_global_vram": 6793.199616,
+                "max_process_vram": 0.0,
+                "max_reserved": 6146.752512,
+                "max_allocated": 5036.936192
+            },
+            "latency": {
+                "unit": "s",
+                "count": 2,
+                "total": 0.04534239959716797,
+                "mean": 0.022671199798583987,
+                "stdev": 4.268836975097716e-05,
+                "p50": 0.022671199798583987,
+                "p90": 0.02270535049438477,
+                "p95": 0.022709619331359863,
+                "p99": 0.02271303440093994,
+                "values": [
+                    0.022628511428833008,
+                    0.022713888168334962
+                ]
+            },
+            "throughput": {
+                "unit": "tokens/s",
+                "value": 308.76177979946215
+            },
+            "energy": null,
+            "efficiency": null
+        },
+        "decode": {
+            "memory": {
+                "unit": "MB",
+                "max_ram": 1769.947136,
+                "max_global_vram": 6793.199616,
+                "max_process_vram": 0.0,
+                "max_reserved": 6146.752512,
+                "max_allocated": 5036.936704
+            },
+            "latency": {
+                "unit": "s",
+                "count": 2,
+                "total": 5.27013916015625,
+                "mean": 2.635069580078125,
+                "stdev": 0.0036293945312499964,
+                "p50": 2.635069580078125,
+                "p90": 2.637973095703125,
+                "p95": 2.63833603515625,
+                "p99": 2.6386263867187503,
+                "values": [
+                    2.631440185546875,
+                    2.638698974609375
+                ]
+            },
+            "throughput": {
+                "unit": "tokens/s",
+                "value": 48.19607078316113
+            },
+            "energy": null,
+            "efficiency": null
+        },
+        "per_token": {
+            "memory": null,
+            "latency": {
+                "unit": "s",
+                "count": 253,
+                "total": 5.271720960617061,
+                "mean": 0.02083684174156943,
+                "stdev": 0.0014756745103518068,
+                "p50": 0.020813823699951172,
+                "p90": 0.020935475540161133,
+                "p95": 0.02108149757385254,
+                "p99": 0.022195609741210934,
+                "values": [
+                    0.022304767608642577,
+                    0.022768640518188478,
+                    0.02065510368347168,
+                    0.020341760635375978,
+                    0.020304895401000975,
+                    0.02025164794921875,
+                    0.02030284881591797,
+                    0.020298751831054687,
+                    0.020296703338623046,
+                    0.02026700782775879,
+                    0.020299776077270508,
+                    0.020487167358398437,
+                    0.020591615676879883,
+                    0.02031001663208008,
+                    0.02042470359802246,
+                    0.02036735916137695,
+                    0.020342784881591795,
+                    0.020291584014892578,
+                    0.020342784881591795,
+                    0.020315135955810547,
+                    0.020299776077270508,
+                    0.020273151397705077,
+                    0.02040729522705078,
+                    0.020195327758789062,
+                    0.020588544845581053,
+                    0.021157888412475585,
+                    0.02091929626464844,
+                    0.020958208084106447,
+                    0.020883455276489257,
+                    0.020806655883789063,
+                    0.020246528625488282,
+                    0.020576255798339844,
+                    0.020924415588378906,
+                    0.020755456924438476,
+                    0.020192256927490236,
+                    0.02006118392944336,
+                    0.02007756805419922,
+                    0.020578304290771485,
+                    0.020880384445190428,
+                    0.020271104812622072,
+                    0.02030080032348633,
+                    0.020273151397705077,
+                    0.02027827262878418,
+                    0.02030080032348633,
+                    0.020303871154785155,
+                    0.02028339195251465,
+                    0.02061311912536621,
+                    0.020890623092651366,
+                    0.020593664169311524,
+                    0.02146816062927246,
+                    0.020969472885131835,
+                    0.02087424087524414,
+                    0.020855808258056642,
+                    0.020815872192382814,
+                    0.02085273551940918,
+                    0.02087321662902832,
+                    0.020783103942871094,
+                    0.020831232070922853,
+                    0.02082099151611328,
+                    0.02082815933227539,
+                    0.020785152435302736,
+                    0.020805631637573242,
+                    0.020570112228393556,
+                    0.02081996726989746,
+                    0.020769792556762694,
+                    0.020847616195678712,
+                    0.020726783752441406,
+                    0.020725759506225586,
+                    0.020624383926391602,
+                    0.020876287460327148,
+                    0.02079641532897949,
+                    0.02088755226135254,
+                    0.020752384185791017,
+                    0.02079539108276367,
+                    0.02085478401184082,
+                    0.020916223526000977,
+                    0.02088652801513672,
+                    0.020929536819458007,
+                    0.02086502456665039,
+                    0.020896768569946288,
+                    0.020888576507568358,
+                    0.020912128448486327,
+                    0.02087321662902832,
+                    0.020632575988769532,
+                    0.020973567962646485,
+                    0.021380096435546874,
+                    0.020876287460327148,
+                    0.020718591690063477,
+                    0.020840448379516603,
+                    0.020898815155029296,
+                    0.020813823699951172,
+                    0.02066739273071289,
+                    0.02084556770324707,
+                    0.02086297607421875,
+                    0.02084351921081543,
+                    0.02068889617919922,
+                    0.020896768569946288,
+                    0.020746240615844725,
+                    0.020641792297363282,
+                    0.020853759765625,
+                    0.02084454345703125,
+                    0.02082611274719238,
+                    0.020661247253417968,
+                    0.02082713508605957,
+                    0.02084454345703125,
+                    0.020723712921142577,
+                    0.02063974380493164,
+                    0.020797439575195312,
+                    0.02083020782470703,
+                    0.02069606399536133,
+                    0.02084966468811035,
+                    0.02082099151611328,
+                    0.02084147262573242,
+                    0.020813823699951172,
+                    0.020969472885131835,
+                    0.02084556770324707,
+                    0.02089369583129883,
+                    0.020815872192382814,
+                    0.020939775466918945,
+                    0.02066431999206543,
+                    0.020891647338867187,
+                    0.020876287460327148,
+                    0.020912128448486327,
+                    0.020634624481201173,
+                    0.020610048294067384,
+                    0.020791296005249024,
+                    0.0437125129699707,
+                    0.020891647338867187,
+                    0.020890623092651366,
+                    0.02086809539794922,
+                    0.02086809539794922,
+                    0.02084454345703125,
+                    0.021421056747436523,
+                    0.021015552520751952,
+                    0.020883455276489257,
+                    0.02081279945373535,
+                    0.02063564872741699,
+                    0.020876287460327148,
+                    0.020884479522705078,
+                    0.020935680389404295,
+                    0.020853759765625,
+                    0.020649984359741212,
+                    0.02083328056335449,
+                    0.020944896697998046,
+                    0.02066227149963379,
+                    0.02085171127319336,
+                    0.02110361671447754,
+                    0.0220948486328125,
+                    0.02106572723388672,
+                    0.021007360458374022,
+                    0.020961280822753905,
+                    0.020817920684814452,
+                    0.02090291213989258,
+                    0.02087833595275879,
+                    0.02089472007751465,
+                    0.02086502456665039,
+                    0.020853759765625,
+                    0.02086092758178711,
+                    0.02081996726989746,
+                    0.020822015762329102,
+                    0.020793344497680662,
+                    0.02088960075378418,
+                    0.0208035831451416,
+                    0.02088243293762207,
+                    0.020815872192382814,
+                    0.02089369583129883,
+                    0.02085785675048828,
+                    0.020814847946166993,
+                    0.020915199279785156,
+                    0.020799488067626954,
+                    0.020884479522705078,
+                    0.020761600494384767,
+                    0.020723712921142577,
+                    0.02083737564086914,
+                    0.021391359329223633,
+                    0.020934656143188478,
+                    0.02082918357849121,
+                    0.020888576507568358,
+                    0.020809728622436522,
+                    0.02083737564086914,
+                    0.02146406364440918,
+                    0.02084556770324707,
+                    0.02090598487854004,
+                    0.020839424133300782,
+                    0.020840448379516603,
+                    0.02084454345703125,
+                    0.02081279945373535,
+                    0.020891647338867187,
+                    0.020918272018432618,
+                    0.02085478401184082,
+                    0.020883455276489257,
+                    0.020748287200927733,
+                    0.020831232070922853,
+                    0.020864000320434572,
+                    0.020759552001953126,
+                    0.020583423614501953,
+                    0.020754432678222655,
+                    0.02091007995605469,
+                    0.02067353630065918,
+                    0.0208855037689209,
+                    0.02069606399536133,
+                    0.02043391990661621,
+                    0.020378623962402344,
+                    0.020402175903320312,
+                    0.02086911964416504,
+                    0.020566015243530272,
+                    0.02067046356201172,
+                    0.02045952033996582,
+                    0.020890623092651366,
+                    0.020822015762329102,
+                    0.020666368484497072,
+                    0.020763647079467772,
+                    0.02063667106628418,
+                    0.020749311447143554,
+                    0.02067865562438965,
+                    0.020739072799682616,
+                    0.020588544845581053,
+                    0.020774911880493165,
+                    0.02052403259277344,
+                    0.02065203285217285,
+                    0.020800512313842775,
+                    0.020556800842285155,
+                    0.020762624740600585,
+                    0.020784128189086915,
+                    0.020577280044555665,
+                    0.02063564872741699,
+                    0.020744192123413087,
+                    0.0208035831451416,
+                    0.020556800842285155,
+                    0.020864000320434572,
+                    0.020264959335327147,
+                    0.020346879959106445,
+                    0.02030080032348633,
+                    0.02030080032348633,
+                    0.02025881576538086,
+                    0.020313087463378905,
+                    0.02027519989013672,
+                    0.020315135955810547,
+                    0.02027724838256836,
+                    0.02027622413635254,
+                    0.02021171188354492,
+                    0.020312063217163084,
+                    0.020323328018188477,
+                    0.02047385597229004,
+                    0.020353023529052734,
+                    0.02029363250732422,
+                    0.021699583053588867,
+                    0.021465087890625,
+                    0.020989952087402345,
+                    0.02088140869140625,
+                    0.02089472007751465,
+                    0.020742143630981445,
+                    0.02106675148010254
+                ]
+            },
+            "throughput": {
+                "unit": "tokens/s",
+                "value": 47.99191798846383
+            },
+            "energy": null,
+            "efficiency": null
+        }
+    }
+}

2024-06-14/commit=b7672826cad31e30319487af876e608d8af7d37b/backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=False/benchmark_config.json

@@ -0,0 +1,102 @@
+{
+    "name": "pytorch_generate",
+    "backend": {
+        "name": "pytorch",
+        "version": "2.3.0+cu121",
+        "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
+        "task": "text-generation",
+        "library": "transformers",
+        "model": "google/gemma-2b",
+        "processor": "google/gemma-2b",
+        "device": "cuda",
+        "device_ids": "0",
+        "seed": 42,
+        "inter_op_num_threads": null,
+        "intra_op_num_threads": null,
+        "model_kwargs": {},
+        "processor_kwargs": {},
+        "hub_kwargs": {},
+        "no_weights": true,
+        "device_map": null,
+        "torch_dtype": "float16",
+        "eval_mode": true,
+        "to_bettertransformer": false,
+        "low_cpu_mem_usage": null,
+        "attn_implementation": null,
+        "cache_implementation": "static",
+        "autocast_enabled": false,
+        "autocast_dtype": null,
+        "torch_compile": false,
+        "torch_compile_target": "forward",
+        "torch_compile_config": {
+            "backend": "inductor",
+            "mode": "reduce-overhead",
+            "fullgraph": true
+        },
+        "quantization_scheme": null,
+        "quantization_config": {},
+        "deepspeed_inference": false,
+        "deepspeed_inference_config": {},
+        "peft_type": null,
+        "peft_config": {}
+    },
+    "scenario": {
+        "name": "inference",
+        "_target_": "optimum_benchmark.scenarios.inference.scenario.InferenceScenario",
+        "iterations": 2,
+        "duration": 0,
+        "warmup_runs": 10,
+        "input_shapes": {
+            "batch_size": 1,
+            "num_choices": 2,
+            "sequence_length": 7
+        },
+        "new_tokens": null,
+        "latency": true,
+        "memory": true,
+        "energy": false,
+        "forward_kwargs": {},
+        "generate_kwargs": {
+            "max_new_tokens": 128,
+            "min_new_tokens": 128,
+            "do_sample": false
+        },
+        "call_kwargs": {}
+    },
+    "launcher": {
+        "name": "process",
+        "_target_": "optimum_benchmark.launchers.process.launcher.ProcessLauncher",
+        "device_isolation": true,
+        "device_isolation_action": "warn",
+        "start_method": "spawn"
+    },
+    "environment": {
+        "cpu": " AMD EPYC 7R32",
+        "cpu_count": 16,
+        "cpu_ram_mb": 66697.29792,
+        "system": "Linux",
+        "machine": "x86_64",
+        "platform": "Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.29",
+        "processor": "x86_64",
+        "python_version": "3.8.10",
+        "gpu": [
+            "NVIDIA A10G"
+        ],
+        "gpu_count": 1,
+        "gpu_vram_mb": 24146608128,
+        "optimum_benchmark_version": "0.2.1",
+        "optimum_benchmark_commit": null,
+        "transformers_version": "4.42.0.dev0",
+        "transformers_commit": "b7672826cad31e30319487af876e608d8af7d37b",
+        "accelerate_version": "0.32.0.dev0",
+        "accelerate_commit": null,
+        "diffusers_version": null,
+        "diffusers_commit": null,
+        "optimum_version": "1.21.0.dev0",
+        "optimum_commit": null,
+        "timm_version": "0.9.16",
+        "timm_commit": null,
+        "peft_version": "0.11.2.dev0",
+        "peft_commit": null
+    }
+}

2024-06-14/commit=b7672826cad31e30319487af876e608d8af7d37b/backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=False/benchmark_report.json

@@ -0,0 +1,339 @@
+{
+    "prefill": {
+        "memory": {
+            "unit": "MB",
+            "max_ram": 1769.92256,
+            "max_global_vram": 6793.199616,
+            "max_process_vram": 0.0,
+            "max_reserved": 6146.752512,
+            "max_allocated": 5036.936192
+        },
+        "latency": {
+            "unit": "s",
+            "count": 2,
+            "total": 0.04534239959716797,
+            "mean": 0.022671199798583987,
+            "stdev": 4.268836975097716e-05,
+            "p50": 0.022671199798583987,
+            "p90": 0.02270535049438477,
+            "p95": 0.022709619331359863,
+            "p99": 0.02271303440093994,
+            "values": [
+                0.022628511428833008,
+                0.022713888168334962
+            ]
+        },
+        "throughput": {
+            "unit": "tokens/s",
+            "value": 308.76177979946215
+        },
+        "energy": null,
+        "efficiency": null
+    },
+    "decode": {
+        "memory": {
+            "unit": "MB",
+            "max_ram": 1769.947136,
+            "max_global_vram": 6793.199616,
+            "max_process_vram": 0.0,
+            "max_reserved": 6146.752512,
+            "max_allocated": 5036.936704
+        },
+        "latency": {
+            "unit": "s",
+            "count": 2,
+            "total": 5.27013916015625,
+            "mean": 2.635069580078125,
+            "stdev": 0.0036293945312499964,
+            "p50": 2.635069580078125,
+            "p90": 2.637973095703125,
+            "p95": 2.63833603515625,
+            "p99": 2.6386263867187503,
+            "values": [
+                2.631440185546875,
+                2.638698974609375
+            ]
+        },
+        "throughput": {
+            "unit": "tokens/s",
+            "value": 48.19607078316113
+        },
+        "energy": null,
+        "efficiency": null
+    },
+    "per_token": {
+        "memory": null,
+        "latency": {
+            "unit": "s",
+            "count": 253,
+            "total": 5.271720960617061,
+            "mean": 0.02083684174156943,
+            "stdev": 0.0014756745103518068,
+            "p50": 0.020813823699951172,
+            "p90": 0.020935475540161133,
+            "p95": 0.02108149757385254,
+            "p99": 0.022195609741210934,
+            "values": [
+                0.022304767608642577,
+                0.022768640518188478,
+                0.02065510368347168,
+                0.020341760635375978,
+                0.020304895401000975,
+                0.02025164794921875,
+                0.02030284881591797,
+                0.020298751831054687,
+                0.020296703338623046,
+                0.02026700782775879,
+                0.020299776077270508,
+                0.020487167358398437,
+                0.020591615676879883,
+                0.02031001663208008,
+                0.02042470359802246,
+                0.02036735916137695,
+                0.020342784881591795,
+                0.020291584014892578,
+                0.020342784881591795,
+                0.020315135955810547,
+                0.020299776077270508,
+                0.020273151397705077,
+                0.02040729522705078,
+                0.020195327758789062,
+                0.020588544845581053,
+                0.021157888412475585,
+                0.02091929626464844,
+                0.020958208084106447,
+                0.020883455276489257,
+                0.020806655883789063,
+                0.020246528625488282,
+                0.020576255798339844,
+                0.020924415588378906,
+                0.020755456924438476,
+                0.020192256927490236,
+                0.02006118392944336,
+                0.02007756805419922,
+                0.020578304290771485,
+                0.020880384445190428,
+                0.020271104812622072,
+                0.02030080032348633,
+                0.020273151397705077,
+                0.02027827262878418,
+                0.02030080032348633,
+                0.020303871154785155,
+                0.02028339195251465,
+                0.02061311912536621,
+                0.020890623092651366,
+                0.020593664169311524,
+                0.02146816062927246,
+                0.020969472885131835,
+                0.02087424087524414,
+                0.020855808258056642,
+                0.020815872192382814,
+                0.02085273551940918,
+                0.02087321662902832,
+                0.020783103942871094,
+                0.020831232070922853,
+                0.02082099151611328,
+                0.02082815933227539,
+                0.020785152435302736,
+                0.020805631637573242,
+                0.020570112228393556,
+                0.02081996726989746,
+                0.020769792556762694,
+                0.020847616195678712,
+                0.020726783752441406,
+                0.020725759506225586,
+                0.020624383926391602,
+                0.020876287460327148,
+                0.02079641532897949,
+                0.02088755226135254,
+                0.020752384185791017,
+                0.02079539108276367,
+                0.02085478401184082,
+                0.020916223526000977,
+                0.02088652801513672,
+                0.020929536819458007,
+                0.02086502456665039,
+                0.020896768569946288,
+                0.020888576507568358,
+                0.020912128448486327,
+                0.02087321662902832,
+                0.020632575988769532,
+                0.020973567962646485,
+                0.021380096435546874,
+                0.020876287460327148,
+                0.020718591690063477,
+                0.020840448379516603,
+                0.020898815155029296,
+                0.020813823699951172,
+                0.02066739273071289,
+                0.02084556770324707,
+                0.02086297607421875,
+                0.02084351921081543,
+                0.02068889617919922,
+                0.020896768569946288,
+                0.020746240615844725,
+                0.020641792297363282,
+                0.020853759765625,
+                0.02084454345703125,
+                0.02082611274719238,
+                0.020661247253417968,
+                0.02082713508605957,
+                0.02084454345703125,
+                0.020723712921142577,
+                0.02063974380493164,
+                0.020797439575195312,
+                0.02083020782470703,
+                0.02069606399536133,
+                0.02084966468811035,
+                0.02082099151611328,
+                0.02084147262573242,
+                0.020813823699951172,
+                0.020969472885131835,
+                0.02084556770324707,
+                0.02089369583129883,
+                0.020815872192382814,
+                0.020939775466918945,
+                0.02066431999206543,
+                0.020891647338867187,
+                0.020876287460327148,
+                0.020912128448486327,
+                0.020634624481201173,
+                0.020610048294067384,
+                0.020791296005249024,
+                0.0437125129699707,
+                0.020891647338867187,
+                0.020890623092651366,
+                0.02086809539794922,
+                0.02086809539794922,
+                0.02084454345703125,
+                0.021421056747436523,
+                0.021015552520751952,
+                0.020883455276489257,
+                0.02081279945373535,
+                0.02063564872741699,
+                0.020876287460327148,
+                0.020884479522705078,
+                0.020935680389404295,
+                0.020853759765625,
+                0.020649984359741212,
+                0.02083328056335449,
+                0.020944896697998046,
+                0.02066227149963379,
+                0.02085171127319336,
+                0.02110361671447754,
+                0.0220948486328125,
+                0.02106572723388672,
+                0.021007360458374022,
+                0.020961280822753905,
+                0.020817920684814452,
+                0.02090291213989258,
+                0.02087833595275879,
+                0.02089472007751465,
+                0.02086502456665039,
+                0.020853759765625,
+                0.02086092758178711,
+                0.02081996726989746,
+                0.020822015762329102,
+                0.020793344497680662,
+                0.02088960075378418,
+                0.0208035831451416,
+                0.02088243293762207,
+                0.020815872192382814,
+                0.02089369583129883,
+                0.02085785675048828,
+                0.020814847946166993,
+                0.020915199279785156,
+                0.020799488067626954,
+                0.020884479522705078,
+                0.020761600494384767,
+                0.020723712921142577,
+                0.02083737564086914,
+                0.021391359329223633,
+                0.020934656143188478,
+                0.02082918357849121,
+                0.020888576507568358,
+                0.020809728622436522,
+                0.02083737564086914,
+                0.02146406364440918,
+                0.02084556770324707,
+                0.02090598487854004,
+                0.020839424133300782,
+                0.020840448379516603,
+                0.02084454345703125,
+                0.02081279945373535,
+                0.020891647338867187,
+                0.020918272018432618,
+                0.02085478401184082,
+                0.020883455276489257,
+                0.020748287200927733,
+                0.020831232070922853,
+                0.020864000320434572,
+                0.020759552001953126,
+                0.020583423614501953,
+                0.020754432678222655,
+                0.02091007995605469,
+                0.02067353630065918,
+                0.0208855037689209,
+                0.02069606399536133,
+                0.02043391990661621,
+                0.020378623962402344,
+                0.020402175903320312,
+                0.02086911964416504,
+                0.020566015243530272,
+                0.02067046356201172,
+                0.02045952033996582,
+                0.020890623092651366,
+                0.020822015762329102,
+                0.020666368484497072,
+                0.020763647079467772,
+                0.02063667106628418,
+                0.020749311447143554,
+                0.02067865562438965,
+                0.020739072799682616,
+                0.020588544845581053,
+                0.020774911880493165,
+                0.02052403259277344,
+                0.02065203285217285,
+                0.020800512313842775,
+                0.020556800842285155,
+                0.020762624740600585,
+                0.020784128189086915,
+                0.020577280044555665,
+                0.02063564872741699,
+                0.020744192123413087,
+                0.0208035831451416,
+                0.020556800842285155,
+                0.020864000320434572,
+                0.020264959335327147,
+                0.020346879959106445,
+                0.02030080032348633,
+                0.02030080032348633,
+                0.02025881576538086,
+                0.020313087463378905,
+                0.02027519989013672,
+                0.020315135955810547,
+                0.02027724838256836,
+                0.02027622413635254,
+                0.02021171188354492,
+                0.020312063217163084,
+                0.020323328018188477,
+                0.02047385597229004,
+                0.020353023529052734,
+                0.02029363250732422,
+                0.021699583053588867,
+                0.021465087890625,
+                0.020989952087402345,
+                0.02088140869140625,
+                0.02089472007751465,
+                0.020742143630981445,
+                0.02106675148010254
+            ]
+        },
+        "throughput": {
+            "unit": "tokens/s",
+            "value": 47.99191798846383
+        },
+        "energy": null,
+        "efficiency": null
+    }
+}

2024-06-14/commit=b7672826cad31e30319487af876e608d8af7d37b/backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=False/summary.json

@@ -0,0 +1,13 @@
+{
+    "model": "google/gemma-2b",
+    "commit": "b7672826cad31e30319487af876e608d8af7d37b",
+    "config": "backend.cache_implementation=static,backend.torch_compile=False",
+    "metrics": {
+        "prefill.latency.mean": 0.022671199798583987,
+        "prefill.throughput.value": 308.76177979946215,
+        "decode.latency.mean": 2.635069580078125,
+        "decode.throughput.value": 48.19607078316113,
+        "per_token.latency.mean": 0.02083684174156943,
+        "per_token.throughput.value": 47.99191798846383
+    }
+}

2024-06-14/commit=b7672826cad31e30319487af876e608d8af7d37b/backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=True/.hydra/config.yaml

@@ -0,0 +1,91 @@
+name: pytorch_generate
+backend:
+  name: pytorch
+  version: 2.3.0+cu121
+  _target_: optimum_benchmark.backends.pytorch.backend.PyTorchBackend
+  task: null
+  library: null
+  model: google/gemma-2b
+  processor: null
+  device: cuda
+  device_ids: '0'
+  seed: 42
+  inter_op_num_threads: null
+  intra_op_num_threads: null
+  model_kwargs: {}
+  processor_kwargs: {}
+  hub_kwargs: {}
+  no_weights: true
+  device_map: null
+  torch_dtype: float16
+  eval_mode: true
+  to_bettertransformer: false
+  low_cpu_mem_usage: null
+  attn_implementation: null
+  cache_implementation: static
+  autocast_enabled: false
+  autocast_dtype: null
+  torch_compile: true
+  torch_compile_target: forward
+  torch_compile_config:
+    backend: inductor
+    mode: reduce-overhead
+    fullgraph: true
+  quantization_scheme: null
+  quantization_config: {}
+  deepspeed_inference: false
+  deepspeed_inference_config: {}
+  peft_type: null
+  peft_config: {}
+scenario:
+  name: inference
+  _target_: optimum_benchmark.scenarios.inference.scenario.InferenceScenario
+  iterations: 2
+  duration: 0
+  warmup_runs: 10
+  input_shapes:
+    batch_size: 1
+    sequence_length: 7
+  new_tokens: null
+  latency: true
+  memory: true
+  energy: false
+  forward_kwargs: {}
+  generate_kwargs:
+    max_new_tokens: 128
+    min_new_tokens: 128
+    do_sample: false
+  call_kwargs: {}
+launcher:
+  name: process
+  _target_: optimum_benchmark.launchers.process.launcher.ProcessLauncher
+  device_isolation: true
+  device_isolation_action: warn
+  start_method: spawn
+environment:
+  cpu: ' AMD EPYC 7R32'
+  cpu_count: 16
+  cpu_ram_mb: 66697.29792
+  system: Linux
+  machine: x86_64
+  platform: Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.29
+  processor: x86_64
+  python_version: 3.8.10
+  gpu:
+  - NVIDIA A10G
+  gpu_count: 1
+  gpu_vram_mb: 24146608128
+  optimum_benchmark_version: 0.2.1
+  optimum_benchmark_commit: null
+  transformers_version: 4.42.0.dev0
+  transformers_commit: b7672826cad31e30319487af876e608d8af7d37b
+  accelerate_version: 0.32.0.dev0
+  accelerate_commit: null
+  diffusers_version: null
+  diffusers_commit: null
+  optimum_version: 1.21.0.dev0
+  optimum_commit: null
+  timm_version: 0.9.16
+  timm_commit: null
+  peft_version: 0.11.2.dev0
+  peft_commit: null

2024-06-14/commit=b7672826cad31e30319487af876e608d8af7d37b/backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=True/.hydra/hydra.yaml

@@ -0,0 +1,141 @@
+hydra:
+  run:
+    dir: _benchmark/tmpkd4hzdi_/commit=b7672826cad31e30319487af876e608d8af7d37b/${hydra.job.override_dirname}
+  sweep:
+    dir: _benchmark/tmpkd4hzdi_/commit=b7672826cad31e30319487af876e608d8af7d37b
+    subdir: ${hydra.job.override_dirname}
+  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)
+
+
+      $HYDRA_CONFIG_GROUPS
+
+
+      Use ''--cfg hydra'' to Show the Hydra config.
+
+      '
+    hydra_help: ???
+  hydra_logging:
+    version: 1
+    root:
+      level: ERROR
+    disable_existing_loggers: true
+  job_logging:
+    version: 1
+    root:
+      level: ERROR
+    disable_existing_loggers: true
+  env: {}
+  mode: MULTIRUN
+  searchpath: []
+  callbacks: {}
+  output_subdir: .hydra
+  overrides:
+    hydra:
+    - hydra/job_logging=disabled
+    - hydra/hydra_logging=disabled
+    - hydra.sweep.dir=_benchmark/tmpkd4hzdi_/commit\=b7672826cad31e30319487af876e608d8af7d37b
+    - hydra.run.dir=_benchmark/tmpkd4hzdi_/commit\=b7672826cad31e30319487af876e608d8af7d37b/${hydra.job.override_dirname}
+    - hydra.mode=MULTIRUN
+    task:
+    - backend.model=google/gemma-2b
+    - backend.cache_implementation=static
+    - backend.torch_compile=True
+  job:
+    name: cli
+    chdir: true
+    override_dirname: backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=True
+    id: '3'
+    num: 3
+    config_name: generation
+    env_set:
+      OVERRIDE_BENCHMARKS: '1'
+      LOG_LEVEL: WARN
+    env_copy: []
+    config:
+      override_dirname:
+        kv_sep: '='
+        item_sep: ','
+        exclude_keys: []
+  runtime:
+    version: 1.3.2
+    version_base: '1.3'
+    cwd: /transformers
+    config_sources:
+    - path: hydra.conf
+      schema: pkg
+      provider: hydra
+    - path: optimum_benchmark
+      schema: pkg
+      provider: main
+    - path: /transformers/benchmark/config
+      schema: file
+      provider: command-line
+    - path: ''
+      schema: structured
+      provider: schema
+    output_dir: /transformers/_benchmark/tmpkd4hzdi_/commit=b7672826cad31e30319487af876e608d8af7d37b/backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=True
+    choices:
+      backend: pytorch
+      launcher: process
+      scenario: inference
+      hydra/env: default
+      hydra/callbacks: null
+      hydra/job_logging: disabled
+      hydra/hydra_logging: disabled
+      hydra/hydra_help: default
+      hydra/help: default
+      hydra/sweeper: basic
+      hydra/launcher: basic
+      hydra/output: default
+  verbose: false

2024-06-14/commit=b7672826cad31e30319487af876e608d8af7d37b/backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=True/.hydra/overrides.yaml

@@ -0,0 +1,3 @@
+- backend.model=google/gemma-2b
+- backend.cache_implementation=static
+- backend.torch_compile=True

2024-06-14/commit=b7672826cad31e30319487af876e608d8af7d37b/backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=True/benchmark.json

@@ -0,0 +1,443 @@
+{
+    "config": {
+        "name": "pytorch_generate",
+        "backend": {
+            "name": "pytorch",
+            "version": "2.3.0+cu121",
+            "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
+            "task": "text-generation",
+            "library": "transformers",
+            "model": "google/gemma-2b",
+            "processor": "google/gemma-2b",
+            "device": "cuda",
+            "device_ids": "0",
+            "seed": 42,
+            "inter_op_num_threads": null,
+            "intra_op_num_threads": null,
+            "model_kwargs": {},
+            "processor_kwargs": {},
+            "hub_kwargs": {},
+            "no_weights": true,
+            "device_map": null,
+            "torch_dtype": "float16",
+            "eval_mode": true,
+            "to_bettertransformer": false,
+            "low_cpu_mem_usage": null,
+            "attn_implementation": null,
+            "cache_implementation": "static",
+            "autocast_enabled": false,
+            "autocast_dtype": null,
+            "torch_compile": true,
+            "torch_compile_target": "forward",
+            "torch_compile_config": {
+                "backend": "inductor",
+                "mode": "reduce-overhead",
+                "fullgraph": true
+            },
+            "quantization_scheme": null,
+            "quantization_config": {},
+            "deepspeed_inference": false,
+            "deepspeed_inference_config": {},
+            "peft_type": null,
+            "peft_config": {}
+        },
+        "scenario": {
+            "name": "inference",
+            "_target_": "optimum_benchmark.scenarios.inference.scenario.InferenceScenario",
+            "iterations": 2,
+            "duration": 0,
+            "warmup_runs": 10,
+            "input_shapes": {
+                "batch_size": 1,
+                "num_choices": 2,
+                "sequence_length": 7
+            },
+            "new_tokens": null,
+            "latency": true,
+            "memory": true,
+            "energy": false,
+            "forward_kwargs": {},
+            "generate_kwargs": {
+                "max_new_tokens": 128,
+                "min_new_tokens": 128,
+                "do_sample": false
+            },
+            "call_kwargs": {}
+        },
+        "launcher": {
+            "name": "process",
+            "_target_": "optimum_benchmark.launchers.process.launcher.ProcessLauncher",
+            "device_isolation": true,
+            "device_isolation_action": "warn",
+            "start_method": "spawn"
+        },
+        "environment": {
+            "cpu": " AMD EPYC 7R32",
+            "cpu_count": 16,
+            "cpu_ram_mb": 66697.29792,
+            "system": "Linux",
+            "machine": "x86_64",
+            "platform": "Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.29",
+            "processor": "x86_64",
+            "python_version": "3.8.10",
+            "gpu": [
+                "NVIDIA A10G"
+            ],
+            "gpu_count": 1,
+            "gpu_vram_mb": 24146608128,
+            "optimum_benchmark_version": "0.2.1",
+            "optimum_benchmark_commit": null,
+            "transformers_version": "4.42.0.dev0",
+            "transformers_commit": "b7672826cad31e30319487af876e608d8af7d37b",
+            "accelerate_version": "0.32.0.dev0",
+            "accelerate_commit": null,
+            "diffusers_version": null,
+            "diffusers_commit": null,
+            "optimum_version": "1.21.0.dev0",
+            "optimum_commit": null,
+            "timm_version": "0.9.16",
+            "timm_commit": null,
+            "peft_version": "0.11.2.dev0",
+            "peft_commit": null
+        }
+    },
+    "report": {
+        "prefill": {
+            "memory": {
+                "unit": "MB",
+                "max_ram": 1915.060224,
+                "max_global_vram": 6094.848,
+                "max_process_vram": 0.0,
+                "max_reserved": 5379.19488,
+                "max_allocated": 5021.251584
+            },
+            "latency": {
+                "unit": "s",
+                "count": 2,
+                "total": 0.02815776062011719,
+                "mean": 0.014078880310058595,
+                "stdev": 0.00010377597808837891,
+                "p50": 0.014078880310058595,
+                "p90": 0.014161901092529298,
+                "p95": 0.014172278690338136,
+                "p99": 0.014180580768585206,
+                "values": [
+                    0.014182656288146973,
+                    0.013975104331970216
+                ]
+            },
+            "throughput": {
+                "unit": "tokens/s",
+                "value": 497.19862985118783
+            },
+            "energy": null,
+            "efficiency": null
+        },
+        "decode": {
+            "memory": {
+                "unit": "MB",
+                "max_ram": 2258.866176,
+                "max_global_vram": 8907.128832,
+                "max_process_vram": 0.0,
+                "max_reserved": 5379.19488,
+                "max_allocated": 5027.089408
+            },
+            "latency": {
+                "unit": "s",
+                "count": 2,
+                "total": 3.123634521484375,
+                "mean": 1.5618172607421874,
+                "stdev": 0.0033018798828124973,
+                "p50": 1.5618172607421874,
+                "p90": 1.5644587646484376,
+                "p95": 1.5647889526367187,
+                "p99": 1.5650531030273438,
+                "values": [
+                    1.565119140625,
+                    1.558515380859375
+                ]
+            },
+            "throughput": {
+                "unit": "tokens/s",
+                "value": 81.31553107541444
+            },
+            "energy": null,
+            "efficiency": null
+        },
+        "per_token": {
+            "memory": null,
+            "latency": {
+                "unit": "s",
+                "count": 253,
+                "total": 3.1247042541503895,
+                "mean": 0.012350609700199173,
+                "stdev": 0.0008951450919219611,
+                "p50": 0.01227673625946045,
+                "p90": 0.012328960418701173,
+                "p95": 0.012428288078308104,
+                "p99": 0.012790169830322266,
+                "values": [
+                    0.012717056274414062,
+                    0.012782591819763184,
+                    0.012803071975708008,
+                    0.012792832374572754,
+                    0.012712960243225097,
+                    0.012784640312194824,
+                    0.01274060821533203,
+                    0.01278771209716797,
+                    0.012750847816467285,
+                    0.012326911926269531,
+                    0.012569600105285645,
+                    0.012455936431884765,
+                    0.012326911926269531,
+                    0.012305407524108887,
+                    0.01225113582611084,
+                    0.012298239707946777,
+                    0.012289024353027344,
+                    0.012300288200378418,
+                    0.012253184318542481,
+                    0.012357631683349609,
+                    0.012247039794921874,
+                    0.012288000106811523,
+                    0.012247039794921874,
+                    0.012297216415405274,
+                    0.012259327888488769,
+                    0.012308480262756348,
+                    0.012253184318542481,
+                    0.012297216415405274,
+                    0.01225011157989502,
+                    0.012314623832702636,
+                    0.012305407524108887,
+                    0.012312576293945313,
+                    0.012259327888488769,
+                    0.012314623832702636,
+                    0.012263423919677734,
+                    0.012285951614379884,
+                    0.01225216007232666,
+                    0.012298239707946777,
+                    0.012244992256164551,
+                    0.012297216415405274,
+                    0.012246015548706055,
+                    0.012294143676757812,
+                    0.01225113582611084,
+                    0.012286975860595703,
+                    0.012296192169189453,
+                    0.012339200019836426,
+                    0.012254207611083985,
+                    0.012297216415405274,
+                    0.012263423919677734,
+                    0.012291071891784668,
+                    0.012247039794921874,
+                    0.012290047645568849,
+                    0.012259327888488769,
+                    0.012292096138000488,
+                    0.012248064041137695,
+                    0.012292096138000488,
+                    0.012259327888488769,
+                    0.012298239707946777,
+                    0.012270591735839843,
+                    0.012317695617675782,
+                    0.012246015548706055,
+                    0.01229312038421631,
+                    0.012262399673461915,
+                    0.012288000106811523,
+                    0.01225011157989502,
+                    0.012297216415405274,
+                    0.012244992256164551,
+                    0.012355584144592285,
+                    0.012291071891784668,
+                    0.012307456016540527,
+                    0.012255231857299804,
+                    0.012328960418701173,
+                    0.012281855583190919,
+                    0.012324864387512208,
+                    0.012254207611083985,
+                    0.012289024353027344,
+                    0.012314623832702636,
+                    0.012308480262756348,
+                    0.01224294376373291,
+                    0.012327936172485352,
+                    0.012285951614379884,
+                    0.012326911926269531,
+                    0.012274687767028808,
+                    0.012318719863891601,
+                    0.012294143676757812,
+                    0.012311552047729492,
+                    0.012301312446594239,
+                    0.01232588768005371,
+                    0.012254207611083985,
+                    0.012298239707946777,
+                    0.012241920471191407,
+                    0.012278783798217773,
+                    0.012241920471191407,
+                    0.012294143676757812,
+                    0.012256256103515625,
+                    0.012285951614379884,
+                    0.012241920471191407,
+                    0.012286975860595703,
+                    0.01225011157989502,
+                    0.012289024353027344,
+                    0.012239871978759765,
+                    0.012310527801513671,
+                    0.012237824440002442,
+                    0.012277759552001954,
+                    0.012244992256164551,
+                    0.012295167922973632,
+                    0.012247039794921874,
+                    0.01228492832183838,
+                    0.01225011157989502,
+                    0.012292096138000488,
+                    0.01224396800994873,
+                    0.012279808044433594,
+                    0.012240896224975586,
+                    0.012289024353027344,
+                    0.01223475170135498,
+                    0.012299263954162597,
+                    0.012248064041137695,
+                    0.012291071891784668,
+                    0.01227673625946045,
+                    0.012295167922973632,
+                    0.0122357759475708,
+                    0.012278783798217773,
+                    0.012241920471191407,
+                    0.012274687767028808,
+                    0.012256256103515625,
+                    0.012296192169189453,
+                    0.026473472595214844,
+                    0.012231679916381836,
+                    0.012285951614379884,
+                    0.01224294376373291,
+                    0.012331007957458496,
+                    0.012308480262756348,
+                    0.01238425636291504,
+                    0.012328960418701173,
+                    0.012286975860595703,
+                    0.01225113582611084,
+                    0.01234227180480957,
+                    0.012278783798217773,
+                    0.012289024353027344,
+                    0.012249088287353516,
+                    0.012278783798217773,
+                    0.012241920471191407,
+                    0.012273664474487305,
+                    0.01223475170135498,
+                    0.012280832290649414,
+                    0.0122357759475708,
+                    0.012281855583190919,
+                    0.012247039794921874,
+                    0.012464127540588378,
+                    0.012274687767028808,
+                    0.012346367835998535,
+                    0.012310527801513671,
+                    0.012337151527404786,
+                    0.012271615982055664,
+                    0.012297216415405274,
+                    0.012239871978759765,
+                    0.012299263954162597,
+                    0.012262399673461915,
+                    0.012283904075622559,
+                    0.012221440315246582,
+                    0.01226956844329834,
+                    0.012238847732543945,
+                    0.012282879829406738,
+                    0.01223475170135498,
+                    0.01227673625946045,
+                    0.012253184318542481,
+                    0.012271615982055664,
+                    0.012236800193786621,
+                    0.012283904075622559,
+                    0.012246047973632813,
+                    0.012271583557128906,
+                    0.01224294376373291,
+                    0.012277759552001954,
+                    0.012228608131408691,
+                    0.012272640228271485,
+                    0.012236800193786621,
+                    0.012272640228271485,
+                    0.012226559638977052,
+                    0.012272640228271485,
+                    0.012249088287353516,
+                    0.012387328147888184,
+                    0.012272640228271485,
+                    0.012294143676757812,
+                    0.01225830364227295,
+                    0.012299263954162597,
+                    0.012244992256164551,
+                    0.012409855842590332,
+                    0.01226137638092041,
+                    0.01226854419708252,
+                    0.012254207611083985,
+                    0.012305407524108887,
+                    0.012248064041137695,
+                    0.012286975860595703,
+                    0.012247039794921874,
+                    0.012339200019836426,
+                    0.012232704162597656,
+                    0.012274687767028808,
+                    0.012231679916381836,
+                    0.012295167922973632,
+                    0.012236800193786621,
+                    0.012274687767028808,
+                    0.012233728408813477,
+                    0.012282879829406738,
+                    0.012225536346435547,
+                    0.012281855583190919,
+                    0.012229632377624512,
+                    0.012273664474487305,
+                    0.012249088287353516,
+                    0.012282879829406738,
+                    0.012256256103515625,
+                    0.01229312038421631,
+                    0.012230655670166016,
+                    0.012282879829406738,
+                    0.012241920471191407,
+                    0.012283904075622559,
+                    0.01223475170135498,
+                    0.012290047645568849,
+                    0.012236800193786621,
+                    0.012272640228271485,
+                    0.012231679916381836,
+                    0.012271615982055664,
+                    0.012220416069030762,
+                    0.012267519950866699,
+                    0.012215359687805176,
+                    0.012269503593444824,
+                    0.012244992256164551,
+                    0.012290047645568849,
+                    0.012226559638977052,
+                    0.01228492832183838,
+                    0.01226035213470459,
+                    0.012281855583190919,
+                    0.012244992256164551,
+                    0.012339200019836426,
+                    0.012241920471191407,
+                    0.012323840141296387,
+                    0.012228608131408691,
+                    0.012264448165893555,
+                    0.012231679916381836,
+                    0.01228492832183838,
+                    0.012216320037841797,
+                    0.012297216415405274,
+                    0.012246015548706055,
+                    0.012274687767028808,
+                    0.012230655670166016,
+                    0.01227673625946045,
+                    0.012226559638977052,
+                    0.012279808044433594,
+                    0.012226559638977052,
+                    0.012282879829406738,
+                    0.012229632377624512,
+                    0.012282879829406738,
+                    0.012233728408813477,
+                    0.012275712013244629
+                ]
+            },
+            "throughput": {
+                "unit": "tokens/s",
+                "value": 80.9676626720601
+            },
+            "energy": null,
+            "efficiency": null
+        }
+    }
+}

2024-06-14/commit=b7672826cad31e30319487af876e608d8af7d37b/backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=True/benchmark_config.json

@@ -0,0 +1,102 @@
+{
+    "name": "pytorch_generate",
+    "backend": {
+        "name": "pytorch",
+        "version": "2.3.0+cu121",
+        "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
+        "task": "text-generation",
+        "library": "transformers",
+        "model": "google/gemma-2b",
+        "processor": "google/gemma-2b",
+        "device": "cuda",
+        "device_ids": "0",
+        "seed": 42,
+        "inter_op_num_threads": null,
+        "intra_op_num_threads": null,
+        "model_kwargs": {},
+        "processor_kwargs": {},
+        "hub_kwargs": {},
+        "no_weights": true,
+        "device_map": null,
+        "torch_dtype": "float16",
+        "eval_mode": true,
+        "to_bettertransformer": false,
+        "low_cpu_mem_usage": null,
+        "attn_implementation": null,
+        "cache_implementation": "static",
+        "autocast_enabled": false,
+        "autocast_dtype": null,
+        "torch_compile": true,
+        "torch_compile_target": "forward",
+        "torch_compile_config": {
+            "backend": "inductor",
+            "mode": "reduce-overhead",
+            "fullgraph": true
+        },
+        "quantization_scheme": null,
+        "quantization_config": {},
+        "deepspeed_inference": false,
+        "deepspeed_inference_config": {},
+        "peft_type": null,
+        "peft_config": {}
+    },
+    "scenario": {
+        "name": "inference",
+        "_target_": "optimum_benchmark.scenarios.inference.scenario.InferenceScenario",
+        "iterations": 2,
+        "duration": 0,
+        "warmup_runs": 10,
+        "input_shapes": {
+            "batch_size": 1,
+            "num_choices": 2,
+            "sequence_length": 7
+        },
+        "new_tokens": null,
+        "latency": true,
+        "memory": true,
+        "energy": false,
+        "forward_kwargs": {},
+        "generate_kwargs": {
+            "max_new_tokens": 128,
+            "min_new_tokens": 128,
+            "do_sample": false
+        },
+        "call_kwargs": {}
+    },
+    "launcher": {
+        "name": "process",
+        "_target_": "optimum_benchmark.launchers.process.launcher.ProcessLauncher",
+        "device_isolation": true,
+        "device_isolation_action": "warn",
+        "start_method": "spawn"
+    },
+    "environment": {
+        "cpu": " AMD EPYC 7R32",
+        "cpu_count": 16,
+        "cpu_ram_mb": 66697.29792,
+        "system": "Linux",
+        "machine": "x86_64",
+        "platform": "Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.29",
+        "processor": "x86_64",
+        "python_version": "3.8.10",
+        "gpu": [
+            "NVIDIA A10G"
+        ],
+        "gpu_count": 1,
+        "gpu_vram_mb": 24146608128,
+        "optimum_benchmark_version": "0.2.1",
+        "optimum_benchmark_commit": null,
+        "transformers_version": "4.42.0.dev0",
+        "transformers_commit": "b7672826cad31e30319487af876e608d8af7d37b",
+        "accelerate_version": "0.32.0.dev0",
+        "accelerate_commit": null,
+        "diffusers_version": null,
+        "diffusers_commit": null,
+        "optimum_version": "1.21.0.dev0",
+        "optimum_commit": null,
+        "timm_version": "0.9.16",
+        "timm_commit": null,
+        "peft_version": "0.11.2.dev0",
+        "peft_commit": null
+    }
+}

2024-06-14/commit=b7672826cad31e30319487af876e608d8af7d37b/backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=True/benchmark_report.json

@@ -0,0 +1,339 @@
+{
+    "prefill": {
+        "memory": {
+            "unit": "MB",
+            "max_ram": 1915.060224,
+            "max_global_vram": 6094.848,
+            "max_process_vram": 0.0,
+            "max_reserved": 5379.19488,
+            "max_allocated": 5021.251584
+        },
+        "latency": {
+            "unit": "s",
+            "count": 2,
+            "total": 0.02815776062011719,
+            "mean": 0.014078880310058595,
+            "stdev": 0.00010377597808837891,
+            "p50": 0.014078880310058595,
+            "p90": 0.014161901092529298,
+            "p95": 0.014172278690338136,
+            "p99": 0.014180580768585206,
+            "values": [
+                0.014182656288146973,
+                0.013975104331970216
+            ]
+        },
+        "throughput": {
+            "unit": "tokens/s",
+            "value": 497.19862985118783
+        },
+        "energy": null,
+        "efficiency": null
+    },
+    "decode": {
+        "memory": {
+            "unit": "MB",
+            "max_ram": 2258.866176,
+            "max_global_vram": 8907.128832,
+            "max_process_vram": 0.0,
+            "max_reserved": 5379.19488,
+            "max_allocated": 5027.089408
+        },
+        "latency": {
+            "unit": "s",
+            "count": 2,
+            "total": 3.123634521484375,
+            "mean": 1.5618172607421874,
+            "stdev": 0.0033018798828124973,
+            "p50": 1.5618172607421874,
+            "p90": 1.5644587646484376,
+            "p95": 1.5647889526367187,
+            "p99": 1.5650531030273438,
+            "values": [
+                1.565119140625,
+                1.558515380859375
+            ]
+        },
+        "throughput": {
+            "unit": "tokens/s",
+            "value": 81.31553107541444
+        },
+        "energy": null,
+        "efficiency": null
+    },
+    "per_token": {
+        "memory": null,
+        "latency": {
+            "unit": "s",
+            "count": 253,
+            "total": 3.1247042541503895,
+            "mean": 0.012350609700199173,
+            "stdev": 0.0008951450919219611,
+            "p50": 0.01227673625946045,
+            "p90": 0.012328960418701173,
+            "p95": 0.012428288078308104,
+            "p99": 0.012790169830322266,
+            "values": [
+                0.012717056274414062,
+                0.012782591819763184,
+                0.012803071975708008,
+                0.012792832374572754,
+                0.012712960243225097,
+                0.012784640312194824,
+                0.01274060821533203,
+                0.01278771209716797,
+                0.012750847816467285,
+                0.012326911926269531,
+                0.012569600105285645,
+                0.012455936431884765,
+                0.012326911926269531,
+                0.012305407524108887,
+                0.01225113582611084,
+                0.012298239707946777,
+                0.012289024353027344,
+                0.012300288200378418,
+                0.012253184318542481,
+                0.012357631683349609,
+                0.012247039794921874,
+                0.012288000106811523,
+                0.012247039794921874,
+                0.012297216415405274,
+                0.012259327888488769,
+                0.012308480262756348,
+                0.012253184318542481,
+                0.012297216415405274,
+                0.01225011157989502,
+                0.012314623832702636,
+                0.012305407524108887,
+                0.012312576293945313,
+                0.012259327888488769,
+                0.012314623832702636,
+                0.012263423919677734,
+                0.012285951614379884,
+                0.01225216007232666,
+                0.012298239707946777,
+                0.012244992256164551,
+                0.012297216415405274,
+                0.012246015548706055,
+                0.012294143676757812,
+                0.01225113582611084,
+                0.012286975860595703,
+                0.012296192169189453,
+                0.012339200019836426,
+                0.012254207611083985,
+                0.012297216415405274,
+                0.012263423919677734,
+                0.012291071891784668,
+                0.012247039794921874,
+                0.012290047645568849,
+                0.012259327888488769,
+                0.012292096138000488,
+                0.012248064041137695,
+                0.012292096138000488,
+                0.012259327888488769,
+                0.012298239707946777,
+                0.012270591735839843,
+                0.012317695617675782,
+                0.012246015548706055,
+                0.01229312038421631,
+                0.012262399673461915,
+                0.012288000106811523,
+                0.01225011157989502,
+                0.012297216415405274,
+                0.012244992256164551,
+                0.012355584144592285,
+                0.012291071891784668,
+                0.012307456016540527,
+                0.012255231857299804,
+                0.012328960418701173,
+                0.012281855583190919,
+                0.012324864387512208,
+                0.012254207611083985,
+                0.012289024353027344,
+                0.012314623832702636,
+                0.012308480262756348,
+                0.01224294376373291,
+                0.012327936172485352,
+                0.012285951614379884,
+                0.012326911926269531,
+                0.012274687767028808,
+                0.012318719863891601,
+                0.012294143676757812,
+                0.012311552047729492,
+                0.012301312446594239,
+                0.01232588768005371,
+                0.012254207611083985,
+                0.012298239707946777,
+                0.012241920471191407,
+                0.012278783798217773,
+                0.012241920471191407,
+                0.012294143676757812,
+                0.012256256103515625,
+                0.012285951614379884,
+                0.012241920471191407,
+                0.012286975860595703,
+                0.01225011157989502,
+                0.012289024353027344,
+                0.012239871978759765,
+                0.012310527801513671,
+                0.012237824440002442,
+                0.012277759552001954,
+                0.012244992256164551,
+                0.012295167922973632,
+                0.012247039794921874,
+                0.01228492832183838,
+                0.01225011157989502,
+                0.012292096138000488,
+                0.01224396800994873,
+                0.012279808044433594,
+                0.012240896224975586,
+                0.012289024353027344,
+                0.01223475170135498,
+                0.012299263954162597,
+                0.012248064041137695,
+                0.012291071891784668,
+                0.01227673625946045,
+                0.012295167922973632,
+                0.0122357759475708,
+                0.012278783798217773,
+                0.012241920471191407,
+                0.012274687767028808,
+                0.012256256103515625,
+                0.012296192169189453,
+                0.026473472595214844,
+                0.012231679916381836,
+                0.012285951614379884,
+                0.01224294376373291,
+                0.012331007957458496,
+                0.012308480262756348,
+                0.01238425636291504,
+                0.012328960418701173,
+                0.012286975860595703,
+                0.01225113582611084,
+                0.01234227180480957,
+                0.012278783798217773,
+                0.012289024353027344,
+                0.012249088287353516,
+                0.012278783798217773,
+                0.012241920471191407,
+                0.012273664474487305,
+                0.01223475170135498,
+                0.012280832290649414,
+                0.0122357759475708,
+                0.012281855583190919,
+                0.012247039794921874,
+                0.012464127540588378,
+                0.012274687767028808,
+                0.012346367835998535,
+                0.012310527801513671,
+                0.012337151527404786,
+                0.012271615982055664,
+                0.012297216415405274,
+                0.012239871978759765,
+                0.012299263954162597,
+                0.012262399673461915,
+                0.012283904075622559,
+                0.012221440315246582,
+                0.01226956844329834,
+                0.012238847732543945,
+                0.012282879829406738,
+                0.01223475170135498,
+                0.01227673625946045,
+                0.012253184318542481,
+                0.012271615982055664,
+                0.012236800193786621,
+                0.012283904075622559,
+                0.012246047973632813,
+                0.012271583557128906,
+                0.01224294376373291,
+                0.012277759552001954,
+                0.012228608131408691,
+                0.012272640228271485,
+                0.012236800193786621,
+                0.012272640228271485,
+                0.012226559638977052,
+                0.012272640228271485,
+                0.012249088287353516,
+                0.012387328147888184,
+                0.012272640228271485,
+                0.012294143676757812,
+                0.01225830364227295,
+                0.012299263954162597,
+                0.012244992256164551,
+                0.012409855842590332,
+                0.01226137638092041,
+                0.01226854419708252,
+                0.012254207611083985,
+                0.012305407524108887,
+                0.012248064041137695,
+                0.012286975860595703,
+                0.012247039794921874,
+                0.012339200019836426,
+                0.012232704162597656,
+                0.012274687767028808,
+                0.012231679916381836,
+                0.012295167922973632,
+                0.012236800193786621,
+                0.012274687767028808,
+                0.012233728408813477,
+                0.012282879829406738,
+                0.012225536346435547,
+                0.012281855583190919,
+                0.012229632377624512,
+                0.012273664474487305,
+                0.012249088287353516,
+                0.012282879829406738,
+                0.012256256103515625,
+                0.01229312038421631,
+                0.012230655670166016,
+                0.012282879829406738,
+                0.012241920471191407,
+                0.012283904075622559,
+                0.01223475170135498,
+                0.012290047645568849,
+                0.012236800193786621,
+                0.012272640228271485,
+                0.012231679916381836,
+                0.012271615982055664,
+                0.012220416069030762,
+                0.012267519950866699,
+                0.012215359687805176,
+                0.012269503593444824,
+                0.012244992256164551,
+                0.012290047645568849,
+                0.012226559638977052,
+                0.01228492832183838,
+                0.01226035213470459,
+                0.012281855583190919,
+                0.012244992256164551,
+                0.012339200019836426,
+                0.012241920471191407,
+                0.012323840141296387,
+                0.012228608131408691,
+                0.012264448165893555,
+                0.012231679916381836,
+                0.01228492832183838,
+                0.012216320037841797,
+                0.012297216415405274,
+                0.012246015548706055,
+                0.012274687767028808,
+                0.012230655670166016,
+                0.01227673625946045,
+                0.012226559638977052,
+                0.012279808044433594,
+                0.012226559638977052,
+                0.012282879829406738,
+                0.012229632377624512,
+                0.012282879829406738,
+                0.012233728408813477,
+                0.012275712013244629
+            ]
+        },
+        "throughput": {
+            "unit": "tokens/s",
+            "value": 80.9676626720601
+        },
+        "energy": null,
+        "efficiency": null
+    }
+}

2024-06-14/commit=b7672826cad31e30319487af876e608d8af7d37b/backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=True/summary.json

@@ -0,0 +1,13 @@
+{
+    "model": "google/gemma-2b",
+    "commit": "b7672826cad31e30319487af876e608d8af7d37b",
+    "config": "backend.cache_implementation=static,backend.torch_compile=True",
+    "metrics": {
+        "prefill.latency.mean": 0.014078880310058595,
+        "prefill.throughput.value": 497.19862985118783,
+        "decode.latency.mean": 1.5618172607421874,
+        "decode.throughput.value": 81.31553107541444,
+        "per_token.latency.mean": 0.012350609700199173,
+        "per_token.throughput.value": 80.9676626720601
+    }
+}

2024-06-14/commit=b7672826cad31e30319487af876e608d8af7d37b/multirun.yaml

@@ -0,0 +1,232 @@
+hydra:
+  run:
+    dir: _benchmark/tmpkd4hzdi_/commit=b7672826cad31e30319487af876e608d8af7d37b/${hydra.job.override_dirname}
+  sweep:
+    dir: _benchmark/tmpkd4hzdi_/commit=b7672826cad31e30319487af876e608d8af7d37b
+    subdir: ${hydra.job.override_dirname}
+  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)
+
+
+      $HYDRA_CONFIG_GROUPS
+
+
+      Use ''--cfg hydra'' to Show the Hydra config.
+
+      '
+    hydra_help: ???
+  hydra_logging:
+    version: 1
+    root:
+      level: ERROR
+    disable_existing_loggers: true
+  job_logging:
+    version: 1
+    root:
+      level: ERROR
+    disable_existing_loggers: true
+  env: {}
+  mode: MULTIRUN
+  searchpath: []
+  callbacks: {}
+  output_subdir: .hydra
+  overrides:
+    hydra:
+    - hydra/job_logging=disabled
+    - hydra/hydra_logging=disabled
+    - hydra.sweep.dir=_benchmark/tmpkd4hzdi_/commit\=b7672826cad31e30319487af876e608d8af7d37b
+    - hydra.run.dir=_benchmark/tmpkd4hzdi_/commit\=b7672826cad31e30319487af876e608d8af7d37b/${hydra.job.override_dirname}
+    - hydra.mode=MULTIRUN
+    task:
+    - backend.model=google/gemma-2b
+    - backend.cache_implementation=null,static
+    - backend.torch_compile=false,true
+  job:
+    name: cli
+    chdir: true
+    override_dirname: backend.cache_implementation=null,static,backend.model=google/gemma-2b,backend.torch_compile=false,true
+    id: ???
+    num: ???
+    config_name: generation
+    env_set:
+      OVERRIDE_BENCHMARKS: '1'
+      LOG_LEVEL: WARN
+    env_copy: []
+    config:
+      override_dirname:
+        kv_sep: '='
+        item_sep: ','
+        exclude_keys: []
+  runtime:
+    version: 1.3.2
+    version_base: '1.3'
+    cwd: /transformers
+    config_sources:
+    - path: hydra.conf
+      schema: pkg
+      provider: hydra
+    - path: optimum_benchmark
+      schema: pkg
+      provider: main
+    - path: /transformers/benchmark/config
+      schema: file
+      provider: command-line
+    - path: ''
+      schema: structured
+      provider: schema
+    output_dir: ???
+    choices:
+      backend: pytorch
+      launcher: process
+      scenario: inference
+      hydra/env: default
+      hydra/callbacks: null
+      hydra/job_logging: disabled
+      hydra/hydra_logging: disabled
+      hydra/hydra_help: default
+      hydra/help: default
+      hydra/sweeper: basic
+      hydra/launcher: basic
+      hydra/output: default
+  verbose: false
+name: pytorch_generate
+backend:
+  name: pytorch
+  version: 2.3.0+cu121
+  _target_: optimum_benchmark.backends.pytorch.backend.PyTorchBackend
+  task: null
+  library: null
+  model: google/gemma-2b
+  processor: null
+  device: cuda
+  device_ids: '0'
+  seed: 42
+  inter_op_num_threads: null
+  intra_op_num_threads: null
+  model_kwargs: {}
+  processor_kwargs: {}
+  hub_kwargs: {}
+  no_weights: true
+  device_map: null
+  torch_dtype: float16
+  eval_mode: true
+  to_bettertransformer: false
+  low_cpu_mem_usage: null
+  attn_implementation: null
+  cache_implementation: static
+  autocast_enabled: false
+  autocast_dtype: null
+  torch_compile: true
+  torch_compile_target: forward
+  torch_compile_config:
+    backend: inductor
+    mode: reduce-overhead
+    fullgraph: true
+  quantization_scheme: null
+  quantization_config: {}
+  deepspeed_inference: false
+  deepspeed_inference_config: {}
+  peft_type: null
+  peft_config: {}
+scenario:
+  name: inference
+  _target_: optimum_benchmark.scenarios.inference.scenario.InferenceScenario
+  iterations: 2
+  duration: 0
+  warmup_runs: 10
+  input_shapes:
+    batch_size: 1
+    sequence_length: 7
+  new_tokens: null
+  latency: true
+  memory: true
+  energy: false
+  forward_kwargs: {}
+  generate_kwargs:
+    max_new_tokens: 128
+    min_new_tokens: 128
+    do_sample: false
+  call_kwargs: {}
+launcher:
+  name: process
+  _target_: optimum_benchmark.launchers.process.launcher.ProcessLauncher
+  device_isolation: true
+  device_isolation_action: warn
+  start_method: spawn
+environment:
+  cpu: ' AMD EPYC 7R32'
+  cpu_count: 16
+  cpu_ram_mb: 66697.29792
+  system: Linux
+  machine: x86_64
+  platform: Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.29
+  processor: x86_64
+  python_version: 3.8.10
+  gpu:
+  - NVIDIA A10G
+  gpu_count: 1
+  gpu_vram_mb: 24146608128
+  optimum_benchmark_version: 0.2.1
+  optimum_benchmark_commit: null
+  transformers_version: 4.42.0.dev0
+  transformers_commit: b7672826cad31e30319487af876e608d8af7d37b
+  accelerate_version: 0.32.0.dev0
+  accelerate_commit: null
+  diffusers_version: null
+  diffusers_commit: null
+  optimum_version: 1.21.0.dev0
+  optimum_commit: null
+  timm_version: 0.9.16
+  timm_commit: null
+  peft_version: 0.11.2.dev0
+  peft_commit: null

2024-06-14/summaries.json

@@ -0,0 +1,41 @@
+[
+    {
+        "model": "google/gemma-2b",
+        "commit": "b7672826cad31e30319487af876e608d8af7d37b",
+        "config": "backend.cache_implementation=null,backend.torch_compile=False",
+        "metrics": {
+            "prefill.latency.mean": 0.01970032024383545,
+            "prefill.throughput.value": 355.3241730773597,
+            "decode.latency.mean": 2.3911510009765626,
+            "decode.throughput.value": 53.11249684697132,
+            "per_token.latency.mean": 0.01890306428298649,
+            "per_token.throughput.value": 52.90147592102513
+        }
+    },
+    {
+        "model": "google/gemma-2b",
+        "commit": "b7672826cad31e30319487af876e608d8af7d37b",
+        "config": "backend.cache_implementation=static,backend.torch_compile=False",
+        "metrics": {
+            "prefill.latency.mean": 0.022671199798583987,
+            "prefill.throughput.value": 308.76177979946215,
+            "decode.latency.mean": 2.635069580078125,
+            "decode.throughput.value": 48.19607078316113,
+            "per_token.latency.mean": 0.02083684174156943,
+            "per_token.throughput.value": 47.99191798846383
+        }
+    },
+    {
+        "model": "google/gemma-2b",
+        "commit": "b7672826cad31e30319487af876e608d8af7d37b",
+        "config": "backend.cache_implementation=static,backend.torch_compile=True",
+        "metrics": {
+            "prefill.latency.mean": 0.014078880310058595,
+            "prefill.throughput.value": 497.19862985118783,
+            "decode.latency.mean": 1.5618172607421874,
+            "decode.throughput.value": 81.31553107541444,
+            "per_token.latency.mean": 0.012350609700199173,
+            "per_token.throughput.value": 80.9676626720601
+        }
+    }
+]

2024-06-14/summary.json

@@ -0,0 +1,40 @@
+{
+    "google/gemma-2b": {
+        "backend.cache_implementation=null,backend.torch_compile=False": {
+            "b7672826cad31e30319487af876e608d8af7d37b": {
+                "metrics": {
+                    "prefill.latency.mean": 0.01970032024383545,
+                    "prefill.throughput.value": 355.3241730773597,
+                    "decode.latency.mean": 2.3911510009765626,
+                    "decode.throughput.value": 53.11249684697132,
+                    "per_token.latency.mean": 0.01890306428298649,
+                    "per_token.throughput.value": 52.90147592102513
+                }
+            }
+        },
+        "backend.cache_implementation=static,backend.torch_compile=False": {
+            "b7672826cad31e30319487af876e608d8af7d37b": {
+                "metrics": {
+                    "prefill.latency.mean": 0.022671199798583987,
+                    "prefill.throughput.value": 308.76177979946215,
+                    "decode.latency.mean": 2.635069580078125,
+                    "decode.throughput.value": 48.19607078316113,
+                    "per_token.latency.mean": 0.02083684174156943,
+                    "per_token.throughput.value": 47.99191798846383
+                }
+            }
+        },
+        "backend.cache_implementation=static,backend.torch_compile=True": {
+            "b7672826cad31e30319487af876e608d8af7d37b": {
+                "metrics": {
+                    "prefill.latency.mean": 0.014078880310058595,
+                    "prefill.throughput.value": 497.19862985118783,
+                    "decode.latency.mean": 1.5618172607421874,
+                    "decode.throughput.value": 81.31553107541444,
+                    "per_token.latency.mean": 0.012350609700199173,
+                    "per_token.throughput.value": 80.9676626720601
+                }
+            }
+        }
+    }
+}