Upload folder using huggingface_hub

2024-09-10/commit=f745e7d3f902601686b83c7cce2660c2a94509f0/backend.cache_implementation=null,backend.model=google/gemma-2b,backend.torch_compile=False/.hydra/config.yaml

@@ -0,0 +1,93 @@
+name: pytorch_generate
+backend:
+  name: pytorch
+  version: 2.4.0+cu121
+  _target_: optimum_benchmark.backends.pytorch.backend.PyTorchBackend
+  task: null
+  library: null
+  model_type: 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: {}
+  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
+  memory: true
+  latency: 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
+  numactl: false
+  numactl_kwargs: {}
+  start_method: spawn
+environment:
+  cpu: ' AMD EPYC 7R32'
+  cpu_count: 16
+  cpu_ram_mb: 66697.261056
+  system: Linux
+  machine: x86_64
+  platform: Linux-5.10.223-212.873.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: 0.4.0
+  optimum_benchmark_commit: null
+  transformers_version: 4.45.0.dev0
+  transformers_commit: f745e7d3f902601686b83c7cce2660c2a94509f0
+  accelerate_version: 0.35.0.dev0
+  accelerate_commit: null
+  diffusers_version: null
+  diffusers_commit: null
+  optimum_version: 1.22.0.dev0
+  optimum_commit: null
+  timm_version: 0.9.16
+  timm_commit: null
+  peft_version: 0.12.1.dev0
+  peft_commit: null

2024-09-10/commit=f745e7d3f902601686b83c7cce2660c2a94509f0/backend.cache_implementation=null,backend.model=google/gemma-2b,backend.torch_compile=False/.hydra/hydra.yaml

@@ -0,0 +1,141 @@
+hydra:
+  run:
+    dir: _benchmark/tmpzfnncevl/commit=f745e7d3f902601686b83c7cce2660c2a94509f0/${hydra.job.override_dirname}
+  sweep:
+    dir: _benchmark/tmpzfnncevl/commit=f745e7d3f902601686b83c7cce2660c2a94509f0
+    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)
+
+
+      $HYDRA_CONFIG_GROUPS
+
+
+      Use ''--cfg hydra'' to Show the Hydra config.
+
+      '
+    hydra_help: ???
+  hydra_logging:
+    version: 1
+    root:
+      level: ERROR
+    disable_existing_loggers: true
+  job_logging:
+    version: 1
+    root:
+      level: ERROR
+    disable_existing_loggers: true
+  env: {}
+  mode: MULTIRUN
+  searchpath: []
+  callbacks: {}
+  output_subdir: .hydra
+  overrides:
+    hydra:
+    - hydra/job_logging=disabled
+    - hydra/hydra_logging=disabled
+    - hydra.sweep.dir=_benchmark/tmpzfnncevl/commit\=f745e7d3f902601686b83c7cce2660c2a94509f0
+    - hydra.run.dir=_benchmark/tmpzfnncevl/commit\=f745e7d3f902601686b83c7cce2660c2a94509f0/${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/tmpzfnncevl/commit=f745e7d3f902601686b83c7cce2660c2a94509f0/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

2024-09-10/commit=f745e7d3f902601686b83c7cce2660c2a94509f0/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

2024-09-10/commit=f745e7d3f902601686b83c7cce2660c2a94509f0/backend.cache_implementation=null,backend.model=google/gemma-2b,backend.torch_compile=False/benchmark.json

@@ -0,0 +1,473 @@
+{
+    "config": {
+        "name": "pytorch_generate",
+        "backend": {
+            "name": "pytorch",
+            "version": "2.4.0+cu121",
+            "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
+            "task": "text-generation",
+            "library": "transformers",
+            "model_type": "gemma",
+            "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": {},
+            "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,
+            "memory": true,
+            "latency": 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",
+            "numactl": false,
+            "numactl_kwargs": {},
+            "start_method": "spawn"
+        },
+        "environment": {
+            "cpu": " AMD EPYC 7R32",
+            "cpu_count": 16,
+            "cpu_ram_mb": 66697.261056,
+            "system": "Linux",
+            "machine": "x86_64",
+            "platform": "Linux-5.10.223-212.873.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": "0.4.0",
+            "optimum_benchmark_commit": null,
+            "transformers_version": "4.45.0.dev0",
+            "transformers_commit": "f745e7d3f902601686b83c7cce2660c2a94509f0",
+            "accelerate_version": "0.35.0.dev0",
+            "accelerate_commit": null,
+            "diffusers_version": null,
+            "diffusers_commit": null,
+            "optimum_version": "1.22.0.dev0",
+            "optimum_commit": null,
+            "timm_version": "0.9.16",
+            "timm_commit": null,
+            "peft_version": "0.12.1.dev0",
+            "peft_commit": null
+        }
+    },
+    "report": {
+        "load": {
+            "memory": {
+                "unit": "MB",
+                "max_ram": 1334.534144,
+                "max_global_vram": 6775.373824,
+                "max_process_vram": 0.0,
+                "max_reserved": 6138.363904,
+                "max_allocated": 6060.931072
+            },
+            "latency": {
+                "unit": "s",
+                "count": 1,
+                "total": 11.4153681640625,
+                "mean": 11.4153681640625,
+                "stdev": 0.0,
+                "p50": 11.4153681640625,
+                "p90": 11.4153681640625,
+                "p95": 11.4153681640625,
+                "p99": 11.4153681640625,
+                "values": [
+                    11.4153681640625
+                ]
+            },
+            "throughput": null,
+            "energy": null,
+            "efficiency": null
+        },
+        "prefill": {
+            "memory": {
+                "unit": "MB",
+                "max_ram": 1770.340352,
+                "max_global_vram": 6796.345344,
+                "max_process_vram": 0.0,
+                "max_reserved": 6142.558208,
+                "max_allocated": 5028.431872
+            },
+            "latency": {
+                "unit": "s",
+                "count": 2,
+                "total": 0.04313571357727051,
+                "mean": 0.021567856788635254,
+                "stdev": 0.00015540790557861187,
+                "p50": 0.021567856788635254,
+                "p90": 0.021692183113098142,
+                "p95": 0.021707723903656006,
+                "p99": 0.021720156536102295,
+                "values": [
+                    0.021412448883056642,
+                    0.021723264694213866
+                ]
+            },
+            "throughput": {
+                "unit": "tokens/s",
+                "value": 324.5570511989169
+            },
+            "energy": null,
+            "efficiency": null
+        },
+        "decode": {
+            "memory": {
+                "unit": "MB",
+                "max_ram": 1828.306944,
+                "max_global_vram": 6800.539648,
+                "max_process_vram": 0.0,
+                "max_reserved": 6146.752512,
+                "max_allocated": 5031.801344
+            },
+            "latency": {
+                "unit": "s",
+                "count": 2,
+                "total": 5.2175419921875,
+                "mean": 2.60877099609375,
+                "stdev": 0.004361572265624947,
+                "p50": 2.60877099609375,
+                "p90": 2.61226025390625,
+                "p95": 2.6126964111328124,
+                "p99": 2.6130453369140625,
+                "values": [
+                    2.604409423828125,
+                    2.613132568359375
+                ]
+            },
+            "throughput": {
+                "unit": "tokens/s",
+                "value": 48.68192730989565
+            },
+            "energy": null,
+            "efficiency": null
+        },
+        "per_token": {
+            "memory": null,
+            "latency": {
+                "unit": "s",
+                "count": 254,
+                "total": 5.217216512680051,
+                "mean": 0.02054022249086635,
+                "stdev": 0.00032452951192328636,
+                "p50": 0.020625920295715333,
+                "p90": 0.020822732734680178,
+                "p95": 0.02085790729522705,
+                "p99": 0.021302917289733887,
+                "values": [
+                    0.01998028755187988,
+                    0.020323328018188477,
+                    0.019924991607666014,
+                    0.02001203155517578,
+                    0.019886079788208007,
+                    0.019775487899780272,
+                    0.020523008346557618,
+                    0.020611072540283205,
+                    0.02063564872741699,
+                    0.020501504898071288,
+                    0.0200263671875,
+                    0.020545536041259766,
+                    0.020609024047851563,
+                    0.020684799194335936,
+                    0.020701183319091796,
+                    0.020402175903320312,
+                    0.02062745666503906,
+                    0.01982156753540039,
+                    0.019825664520263672,
+                    0.01987583923339844,
+                    0.019817472457885742,
+                    0.020347904205322266,
+                    0.020372480392456056,
+                    0.01987379264831543,
+                    0.02005606460571289,
+                    0.020191232681274415,
+                    0.020075519561767577,
+                    0.020063232421875,
+                    0.020116479873657226,
+                    0.020067327499389647,
+                    0.020337663650512695,
+                    0.02068992042541504,
+                    0.020603904724121092,
+                    0.02067865562438965,
+                    0.020024320602416993,
+                    0.02008883285522461,
+                    0.020540416717529295,
+                    0.02058956718444824,
+                    0.02067251205444336,
+                    0.020602880477905275,
+                    0.020418560028076172,
+                    0.020345855712890625,
+                    0.020384767532348632,
+                    0.020607999801635742,
+                    0.020982784271240236,
+                    0.020908031463623047,
+                    0.02066431999206543,
+                    0.020619264602661135,
+                    0.02065203285217285,
+                    0.02003558349609375,
+                    0.020350976943969725,
+                    0.019833856582641602,
+                    0.01980620765686035,
+                    0.019924991607666014,
+                    0.020017152786254884,
+                    0.02043289566040039,
+                    0.020641792297363282,
+                    0.020123647689819335,
+                    0.02011136054992676,
+                    0.020167680740356447,
+                    0.02063052749633789,
+                    0.020781055450439453,
+                    0.020773887634277344,
+                    0.02072166442871094,
+                    0.020707328796386718,
+                    0.020772863388061523,
+                    0.020769792556762694,
+                    0.020757503509521484,
+                    0.020789247512817383,
+                    0.020526079177856444,
+                    0.020794368743896483,
+                    0.020781055450439453,
+                    0.02083737564086914,
+                    0.020884479522705078,
+                    0.02083020782470703,
+                    0.020727807998657227,
+                    0.020840448379516603,
+                    0.020792320251464845,
+                    0.02076982307434082,
+                    0.020847583770751955,
+                    0.02085068893432617,
+                    0.020822015762329102,
+                    0.02071244812011719,
+                    0.020728832244873048,
+                    0.020743167877197266,
+                    0.02044927978515625,
+                    0.020790271759033203,
+                    0.02068070411682129,
+                    0.02043801689147949,
+                    0.02051584053039551,
+                    0.020460544586181642,
+                    0.01988812828063965,
+                    0.01987379264831543,
+                    0.020328447341918944,
+                    0.020768768310546876,
+                    0.02047385597229004,
+                    0.020205568313598633,
+                    0.02008883285522461,
+                    0.020101119995117187,
+                    0.020533248901367186,
+                    0.019993600845336915,
+                    0.021370880126953123,
+                    0.021788671493530275,
+                    0.020920320510864256,
+                    0.020823040008544923,
+                    0.020780031204223632,
+                    0.02072985649108887,
+                    0.020754432678222655,
+                    0.02058137512207031,
+                    0.020824064254760744,
+                    0.020738048553466795,
+                    0.020788223266601562,
+                    0.020725759506225586,
+                    0.02087014389038086,
+                    0.020775936126708985,
+                    0.02052403259277344,
+                    0.020545536041259766,
+                    0.020734975814819336,
+                    0.020724735260009765,
+                    0.020753408432006838,
+                    0.020746240615844725,
+                    0.020929536819458007,
+                    0.02079641532897949,
+                    0.020720640182495118,
+                    0.020730880737304686,
+                    0.020793344497680662,
+                    0.020855808258056642,
+                    0.020782079696655274,
+                    0.020570112228393556,
+                    0.020577280044555665,
+                    0.02062233543395996,
+                    0.02062335968017578,
+                    0.020576255798339844,
+                    0.020557823181152343,
+                    0.020599807739257812,
+                    0.020584447860717774,
+                    0.020576255798339844,
+                    0.020561920166015626,
+                    0.020583423614501953,
+                    0.020591615676879883,
+                    0.020685823440551757,
+                    0.020727807998657227,
+                    0.02069708824157715,
+                    0.020059135437011717,
+                    0.020619264602661135,
+                    0.02010419273376465,
+                    0.02049945640563965,
+                    0.020545536041259766,
+                    0.020685823440551757,
+                    0.020802560806274413,
+                    0.020771839141845702,
+                    0.02131865692138672,
+                    0.02128895950317383,
+                    0.02069811248779297,
+                    0.020747264862060546,
+                    0.020618240356445314,
+                    0.020723712921142577,
+                    0.020582399368286132,
+                    0.020590591430664062,
+                    0.020684799194335936,
+                    0.020641792297363282,
+                    0.020714496612548827,
+                    0.02065203285217285,
+                    0.020612096786499022,
+                    0.020722688674926756,
+                    0.020624383926391602,
+                    0.02062131118774414,
+                    0.02064896011352539,
+                    0.02065715217590332,
+                    0.02066534423828125,
+                    0.02061311912536621,
+                    0.020786176681518553,
+                    0.020718591690063477,
+                    0.020720640182495118,
+                    0.02059775924682617,
+                    0.020741119384765624,
+                    0.02062950325012207,
+                    0.020684799194335936,
+                    0.02066227149963379,
+                    0.02061516761779785,
+                    0.02060697555541992,
+                    0.02062131118774414,
+                    0.020592639923095703,
+                    0.02058137512207031,
+                    0.020741119384765624,
+                    0.020772863388061523,
+                    0.020730880737304686,
+                    0.020750335693359375,
+                    0.020813823699951172,
+                    0.020757503509521484,
+                    0.020801536560058592,
+                    0.020123647689819335,
+                    0.020142080307006836,
+                    0.020185087203979494,
+                    0.020556800842285155,
+                    0.020716543197631835,
+                    0.020971519470214844,
+                    0.020847616195678712,
+                    0.020786176681518553,
+                    0.020560895919799805,
+                    0.020801536560058592,
+                    0.020756479263305663,
+                    0.02085683250427246,
+                    0.020802560806274413,
+                    0.02082815933227539,
+                    0.020792320251464845,
+                    0.020769792556762694,
+                    0.020756479263305663,
+                    0.020772863388061523,
+                    0.020781055450439453,
+                    0.020715520858764647,
+                    0.020762624740600585,
+                    0.020840448379516603,
+                    0.020711423873901368,
+                    0.020790271759033203,
+                    0.020783103942871094,
+                    0.020185087203979494,
+                    0.020153343200683595,
+                    0.020155391693115234,
+                    0.020801536560058592,
+                    0.02048102378845215,
+                    0.020454431533813478,
+                    0.02073187255859375,
+                    0.020419584274291993,
+                    0.02083737564086914,
+                    0.020759552001953126,
+                    0.02085990333557129,
+                    0.020792320251464845,
+                    0.020776960372924806,
+                    0.02086604881286621,
+                    0.020807680130004884,
+                    0.020564992904663085,
+                    0.020486143112182616,
+                    0.02044108772277832,
+                    0.019914751052856446,
+                    0.019923967361450197,
+                    0.019899391174316407,
+                    0.019982336044311523,
+                    0.020152320861816408,
+                    0.019947519302368166,
+                    0.01992192077636719,
+                    0.019914751052856446,
+                    0.019937280654907227,
+                    0.02065407943725586,
+                    0.020306943893432617,
+                    0.0206561279296875,
+                    0.020271104812622072,
+                    0.020155391693115234,
+                    0.020478975296020507,
+                    0.019999744415283204,
+                    0.019918848037719726,
+                    0.020125696182250977,
+                    0.020075519561767577,
+                    0.020393983840942383
+                ]
+            },
+            "throughput": {
+                "unit": "tokens/s",
+                "value": 48.684964364172366
+            },
+            "energy": null,
+            "efficiency": null
+        }
+    }
+}

2024-09-10/commit=f745e7d3f902601686b83c7cce2660c2a94509f0/backend.cache_implementation=null,backend.model=google/gemma-2b,backend.torch_compile=False/benchmark_config.json

@@ -0,0 +1,104 @@
+{
+    "name": "pytorch_generate",
+    "backend": {
+        "name": "pytorch",
+        "version": "2.4.0+cu121",
+        "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
+        "task": "text-generation",
+        "library": "transformers",
+        "model_type": "gemma",
+        "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": {},
+        "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,
+        "memory": true,
+        "latency": 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",
+        "numactl": false,
+        "numactl_kwargs": {},
+        "start_method": "spawn"
+    },
+    "environment": {
+        "cpu": " AMD EPYC 7R32",
+        "cpu_count": 16,
+        "cpu_ram_mb": 66697.261056,
+        "system": "Linux",
+        "machine": "x86_64",
+        "platform": "Linux-5.10.223-212.873.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": "0.4.0",
+        "optimum_benchmark_commit": null,
+        "transformers_version": "4.45.0.dev0",
+        "transformers_commit": "f745e7d3f902601686b83c7cce2660c2a94509f0",
+        "accelerate_version": "0.35.0.dev0",
+        "accelerate_commit": null,
+        "diffusers_version": null,
+        "diffusers_commit": null,
+        "optimum_version": "1.22.0.dev0",
+        "optimum_commit": null,
+        "timm_version": "0.9.16",
+        "timm_commit": null,
+        "peft_version": "0.12.1.dev0",
+        "peft_commit": null
+    }
+}

2024-09-10/commit=f745e7d3f902601686b83c7cce2660c2a94509f0/backend.cache_implementation=null,backend.model=google/gemma-2b,backend.torch_compile=False/benchmark_report.json

@@ -0,0 +1,367 @@
+{
+    "load": {
+        "memory": {
+            "unit": "MB",
+            "max_ram": 1334.534144,
+            "max_global_vram": 6775.373824,
+            "max_process_vram": 0.0,
+            "max_reserved": 6138.363904,
+            "max_allocated": 6060.931072
+        },
+        "latency": {
+            "unit": "s",
+            "count": 1,
+            "total": 11.4153681640625,
+            "mean": 11.4153681640625,
+            "stdev": 0.0,
+            "p50": 11.4153681640625,
+            "p90": 11.4153681640625,
+            "p95": 11.4153681640625,
+            "p99": 11.4153681640625,
+            "values": [
+                11.4153681640625
+            ]
+        },
+        "throughput": null,
+        "energy": null,
+        "efficiency": null
+    },
+    "prefill": {
+        "memory": {
+            "unit": "MB",
+            "max_ram": 1770.340352,
+            "max_global_vram": 6796.345344,
+            "max_process_vram": 0.0,
+            "max_reserved": 6142.558208,
+            "max_allocated": 5028.431872
+        },
+        "latency": {
+            "unit": "s",
+            "count": 2,
+            "total": 0.04313571357727051,
+            "mean": 0.021567856788635254,
+            "stdev": 0.00015540790557861187,
+            "p50": 0.021567856788635254,
+            "p90": 0.021692183113098142,
+            "p95": 0.021707723903656006,
+            "p99": 0.021720156536102295,
+            "values": [
+                0.021412448883056642,
+                0.021723264694213866
+            ]
+        },
+        "throughput": {
+            "unit": "tokens/s",
+            "value": 324.5570511989169
+        },
+        "energy": null,
+        "efficiency": null
+    },
+    "decode": {
+        "memory": {
+            "unit": "MB",
+            "max_ram": 1828.306944,
+            "max_global_vram": 6800.539648,
+            "max_process_vram": 0.0,
+            "max_reserved": 6146.752512,
+            "max_allocated": 5031.801344
+        },
+        "latency": {
+            "unit": "s",
+            "count": 2,
+            "total": 5.2175419921875,
+            "mean": 2.60877099609375,
+            "stdev": 0.004361572265624947,
+            "p50": 2.60877099609375,
+            "p90": 2.61226025390625,
+            "p95": 2.6126964111328124,
+            "p99": 2.6130453369140625,
+            "values": [
+                2.604409423828125,
+                2.613132568359375
+            ]
+        },
+        "throughput": {
+            "unit": "tokens/s",
+            "value": 48.68192730989565
+        },
+        "energy": null,
+        "efficiency": null
+    },
+    "per_token": {
+        "memory": null,
+        "latency": {
+            "unit": "s",
+            "count": 254,
+            "total": 5.217216512680051,
+            "mean": 0.02054022249086635,
+            "stdev": 0.00032452951192328636,
+            "p50": 0.020625920295715333,
+            "p90": 0.020822732734680178,
+            "p95": 0.02085790729522705,
+            "p99": 0.021302917289733887,
+            "values": [
+                0.01998028755187988,
+                0.020323328018188477,
+                0.019924991607666014,
+                0.02001203155517578,
+                0.019886079788208007,
+                0.019775487899780272,
+                0.020523008346557618,
+                0.020611072540283205,
+                0.02063564872741699,
+                0.020501504898071288,
+                0.0200263671875,
+                0.020545536041259766,
+                0.020609024047851563,
+                0.020684799194335936,
+                0.020701183319091796,
+                0.020402175903320312,
+                0.02062745666503906,
+                0.01982156753540039,
+                0.019825664520263672,
+                0.01987583923339844,
+                0.019817472457885742,
+                0.020347904205322266,
+                0.020372480392456056,
+                0.01987379264831543,
+                0.02005606460571289,
+                0.020191232681274415,
+                0.020075519561767577,
+                0.020063232421875,
+                0.020116479873657226,
+                0.020067327499389647,
+                0.020337663650512695,
+                0.02068992042541504,
+                0.020603904724121092,
+                0.02067865562438965,
+                0.020024320602416993,
+                0.02008883285522461,
+                0.020540416717529295,
+                0.02058956718444824,
+                0.02067251205444336,
+                0.020602880477905275,
+                0.020418560028076172,
+                0.020345855712890625,
+                0.020384767532348632,
+                0.020607999801635742,
+                0.020982784271240236,
+                0.020908031463623047,
+                0.02066431999206543,
+                0.020619264602661135,
+                0.02065203285217285,
+                0.02003558349609375,
+                0.020350976943969725,
+                0.019833856582641602,
+                0.01980620765686035,
+                0.019924991607666014,
+                0.020017152786254884,
+                0.02043289566040039,
+                0.020641792297363282,
+                0.020123647689819335,
+                0.02011136054992676,
+                0.020167680740356447,
+                0.02063052749633789,
+                0.020781055450439453,
+                0.020773887634277344,
+                0.02072166442871094,
+                0.020707328796386718,
+                0.020772863388061523,
+                0.020769792556762694,
+                0.020757503509521484,
+                0.020789247512817383,
+                0.020526079177856444,
+                0.020794368743896483,
+                0.020781055450439453,
+                0.02083737564086914,
+                0.020884479522705078,
+                0.02083020782470703,
+                0.020727807998657227,
+                0.020840448379516603,
+                0.020792320251464845,
+                0.02076982307434082,
+                0.020847583770751955,
+                0.02085068893432617,
+                0.020822015762329102,
+                0.02071244812011719,
+                0.020728832244873048,
+                0.020743167877197266,
+                0.02044927978515625,
+                0.020790271759033203,
+                0.02068070411682129,
+                0.02043801689147949,
+                0.02051584053039551,
+                0.020460544586181642,
+                0.01988812828063965,
+                0.01987379264831543,
+                0.020328447341918944,
+                0.020768768310546876,
+                0.02047385597229004,
+                0.020205568313598633,
+                0.02008883285522461,
+                0.020101119995117187,
+                0.020533248901367186,
+                0.019993600845336915,
+                0.021370880126953123,
+                0.021788671493530275,
+                0.020920320510864256,
+                0.020823040008544923,
+                0.020780031204223632,
+                0.02072985649108887,
+                0.020754432678222655,
+                0.02058137512207031,
+                0.020824064254760744,
+                0.020738048553466795,
+                0.020788223266601562,
+                0.020725759506225586,
+                0.02087014389038086,
+                0.020775936126708985,
+                0.02052403259277344,
+                0.020545536041259766,
+                0.020734975814819336,
+                0.020724735260009765,
+                0.020753408432006838,
+                0.020746240615844725,
+                0.020929536819458007,
+                0.02079641532897949,
+                0.020720640182495118,
+                0.020730880737304686,
+                0.020793344497680662,
+                0.020855808258056642,
+                0.020782079696655274,
+                0.020570112228393556,
+                0.020577280044555665,
+                0.02062233543395996,
+                0.02062335968017578,
+                0.020576255798339844,
+                0.020557823181152343,
+                0.020599807739257812,
+                0.020584447860717774,
+                0.020576255798339844,
+                0.020561920166015626,
+                0.020583423614501953,
+                0.020591615676879883,
+                0.020685823440551757,
+                0.020727807998657227,
+                0.02069708824157715,
+                0.020059135437011717,
+                0.020619264602661135,
+                0.02010419273376465,
+                0.02049945640563965,
+                0.020545536041259766,
+                0.020685823440551757,
+                0.020802560806274413,
+                0.020771839141845702,
+                0.02131865692138672,
+                0.02128895950317383,
+                0.02069811248779297,
+                0.020747264862060546,
+                0.020618240356445314,
+                0.020723712921142577,
+                0.020582399368286132,
+                0.020590591430664062,
+                0.020684799194335936,
+                0.020641792297363282,
+                0.020714496612548827,
+                0.02065203285217285,
+                0.020612096786499022,
+                0.020722688674926756,
+                0.020624383926391602,
+                0.02062131118774414,
+                0.02064896011352539,
+                0.02065715217590332,
+                0.02066534423828125,
+                0.02061311912536621,
+                0.020786176681518553,
+                0.020718591690063477,
+                0.020720640182495118,
+                0.02059775924682617,
+                0.020741119384765624,
+                0.02062950325012207,
+                0.020684799194335936,
+                0.02066227149963379,
+                0.02061516761779785,
+                0.02060697555541992,
+                0.02062131118774414,
+                0.020592639923095703,
+                0.02058137512207031,
+                0.020741119384765624,
+                0.020772863388061523,
+                0.020730880737304686,
+                0.020750335693359375,
+                0.020813823699951172,
+                0.020757503509521484,
+                0.020801536560058592,
+                0.020123647689819335,
+                0.020142080307006836,
+                0.020185087203979494,
+                0.020556800842285155,
+                0.020716543197631835,
+                0.020971519470214844,
+                0.020847616195678712,
+                0.020786176681518553,
+                0.020560895919799805,
+                0.020801536560058592,
+                0.020756479263305663,
+                0.02085683250427246,
+                0.020802560806274413,
+                0.02082815933227539,
+                0.020792320251464845,
+                0.020769792556762694,
+                0.020756479263305663,
+                0.020772863388061523,
+                0.020781055450439453,
+                0.020715520858764647,
+                0.020762624740600585,
+                0.020840448379516603,
+                0.020711423873901368,
+                0.020790271759033203,
+                0.020783103942871094,
+                0.020185087203979494,
+                0.020153343200683595,
+                0.020155391693115234,
+                0.020801536560058592,
+                0.02048102378845215,
+                0.020454431533813478,
+                0.02073187255859375,
+                0.020419584274291993,
+                0.02083737564086914,
+                0.020759552001953126,
+                0.02085990333557129,
+                0.020792320251464845,
+                0.020776960372924806,
+                0.02086604881286621,
+                0.020807680130004884,
+                0.020564992904663085,
+                0.020486143112182616,
+                0.02044108772277832,
+                0.019914751052856446,
+                0.019923967361450197,
+                0.019899391174316407,
+                0.019982336044311523,
+                0.020152320861816408,
+                0.019947519302368166,
+                0.01992192077636719,
+                0.019914751052856446,
+                0.019937280654907227,
+                0.02065407943725586,
+                0.020306943893432617,
+                0.0206561279296875,
+                0.020271104812622072,
+                0.020155391693115234,
+                0.020478975296020507,
+                0.019999744415283204,
+                0.019918848037719726,
+                0.020125696182250977,
+                0.020075519561767577,
+                0.020393983840942383
+            ]
+        },
+        "throughput": {
+            "unit": "tokens/s",
+            "value": 48.684964364172366
+        },
+        "energy": null,
+        "efficiency": null
+    }
+}

2024-09-10/commit=f745e7d3f902601686b83c7cce2660c2a94509f0/backend.cache_implementation=null,backend.model=google/gemma-2b,backend.torch_compile=False/summary.json

@@ -0,0 +1,13 @@
+{
+    "model": "google/gemma-2b",
+    "commit": "f745e7d3f902601686b83c7cce2660c2a94509f0",
+    "config": "backend.cache_implementation=null,backend.torch_compile=False",
+    "metrics": {
+        "prefill.latency.mean": 0.021567856788635254,
+        "prefill.throughput.value": 324.5570511989169,
+        "decode.latency.mean": 2.60877099609375,
+        "decode.throughput.value": 48.68192730989565,
+        "per_token.latency.mean": 0.02054022249086635,
+        "per_token.throughput.value": 48.684964364172366
+    }
+}

2024-09-10/commit=f745e7d3f902601686b83c7cce2660c2a94509f0/backend.cache_implementation=null,backend.model=google/gemma-2b,backend.torch_compile=True/.hydra/config.yaml

@@ -0,0 +1,93 @@
+name: pytorch_generate
+backend:
+  name: pytorch
+  version: 2.4.0+cu121
+  _target_: optimum_benchmark.backends.pytorch.backend.PyTorchBackend
+  task: null
+  library: null
+  model_type: 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: {}
+  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
+  memory: true
+  latency: 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
+  numactl: false
+  numactl_kwargs: {}
+  start_method: spawn
+environment:
+  cpu: ' AMD EPYC 7R32'
+  cpu_count: 16
+  cpu_ram_mb: 66697.261056
+  system: Linux
+  machine: x86_64
+  platform: Linux-5.10.223-212.873.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: 0.4.0
+  optimum_benchmark_commit: null
+  transformers_version: 4.45.0.dev0
+  transformers_commit: f745e7d3f902601686b83c7cce2660c2a94509f0
+  accelerate_version: 0.35.0.dev0
+  accelerate_commit: null
+  diffusers_version: null
+  diffusers_commit: null
+  optimum_version: 1.22.0.dev0
+  optimum_commit: null
+  timm_version: 0.9.16
+  timm_commit: null
+  peft_version: 0.12.1.dev0
+  peft_commit: null

2024-09-10/commit=f745e7d3f902601686b83c7cce2660c2a94509f0/backend.cache_implementation=null,backend.model=google/gemma-2b,backend.torch_compile=True/.hydra/hydra.yaml

@@ -0,0 +1,141 @@
+hydra:
+  run:
+    dir: _benchmark/tmpzfnncevl/commit=f745e7d3f902601686b83c7cce2660c2a94509f0/${hydra.job.override_dirname}
+  sweep:
+    dir: _benchmark/tmpzfnncevl/commit=f745e7d3f902601686b83c7cce2660c2a94509f0
+    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)
+
+
+      $HYDRA_CONFIG_GROUPS
+
+
+      Use ''--cfg hydra'' to Show the Hydra config.
+
+      '
+    hydra_help: ???
+  hydra_logging:
+    version: 1
+    root:
+      level: ERROR
+    disable_existing_loggers: true
+  job_logging:
+    version: 1
+    root:
+      level: ERROR
+    disable_existing_loggers: true
+  env: {}
+  mode: MULTIRUN
+  searchpath: []
+  callbacks: {}
+  output_subdir: .hydra
+  overrides:
+    hydra:
+    - hydra/job_logging=disabled
+    - hydra/hydra_logging=disabled
+    - hydra.sweep.dir=_benchmark/tmpzfnncevl/commit\=f745e7d3f902601686b83c7cce2660c2a94509f0
+    - hydra.run.dir=_benchmark/tmpzfnncevl/commit\=f745e7d3f902601686b83c7cce2660c2a94509f0/${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/tmpzfnncevl/commit=f745e7d3f902601686b83c7cce2660c2a94509f0/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

2024-09-10/commit=f745e7d3f902601686b83c7cce2660c2a94509f0/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

2024-09-10/commit=f745e7d3f902601686b83c7cce2660c2a94509f0/backend.cache_implementation=null,backend.model=google/gemma-2b,backend.torch_compile=True/benchmark.log

@@ -0,0 +1,2 @@
+[ISOLATED-PROCESS][2024-09-10 02:44:05,665][process][ERROR] - 	+ Sending traceback to main process
+[MAIN-PROCESS][2024-09-10 02:44:08,046][process][ERROR] - 	+ Received traceback from isolated process

2024-09-10/commit=f745e7d3f902601686b83c7cce2660c2a94509f0/backend.cache_implementation=null,backend.model=google/gemma-2b,backend.torch_compile=True/benchmark_config.json

@@ -0,0 +1,104 @@
+{
+    "name": "pytorch_generate",
+    "backend": {
+        "name": "pytorch",
+        "version": "2.4.0+cu121",
+        "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
+        "task": "text-generation",
+        "library": "transformers",
+        "model_type": "gemma",
+        "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": {},
+        "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,
+        "memory": true,
+        "latency": 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",
+        "numactl": false,
+        "numactl_kwargs": {},
+        "start_method": "spawn"
+    },
+    "environment": {
+        "cpu": " AMD EPYC 7R32",
+        "cpu_count": 16,
+        "cpu_ram_mb": 66697.261056,
+        "system": "Linux",
+        "machine": "x86_64",
+        "platform": "Linux-5.10.223-212.873.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": "0.4.0",
+        "optimum_benchmark_commit": null,
+        "transformers_version": "4.45.0.dev0",
+        "transformers_commit": "f745e7d3f902601686b83c7cce2660c2a94509f0",
+        "accelerate_version": "0.35.0.dev0",
+        "accelerate_commit": null,
+        "diffusers_version": null,
+        "diffusers_commit": null,
+        "optimum_version": "1.22.0.dev0",
+        "optimum_commit": null,
+        "timm_version": "0.9.16",
+        "timm_commit": null,
+        "peft_version": "0.12.1.dev0",
+        "peft_commit": null
+    }
+}

2024-09-10/commit=f745e7d3f902601686b83c7cce2660c2a94509f0/backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=False/.hydra/config.yaml

@@ -0,0 +1,93 @@
+name: pytorch_generate
+backend:
+  name: pytorch
+  version: 2.4.0+cu121
+  _target_: optimum_benchmark.backends.pytorch.backend.PyTorchBackend
+  task: null
+  library: null
+  model_type: 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: {}
+  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
+  memory: true
+  latency: 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
+  numactl: false
+  numactl_kwargs: {}
+  start_method: spawn
+environment:
+  cpu: ' AMD EPYC 7R32'
+  cpu_count: 16
+  cpu_ram_mb: 66697.261056
+  system: Linux
+  machine: x86_64
+  platform: Linux-5.10.223-212.873.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: 0.4.0
+  optimum_benchmark_commit: null
+  transformers_version: 4.45.0.dev0
+  transformers_commit: f745e7d3f902601686b83c7cce2660c2a94509f0
+  accelerate_version: 0.35.0.dev0
+  accelerate_commit: null
+  diffusers_version: null
+  diffusers_commit: null
+  optimum_version: 1.22.0.dev0
+  optimum_commit: null
+  timm_version: 0.9.16
+  timm_commit: null
+  peft_version: 0.12.1.dev0
+  peft_commit: null

2024-09-10/commit=f745e7d3f902601686b83c7cce2660c2a94509f0/backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=False/.hydra/hydra.yaml

@@ -0,0 +1,141 @@
+hydra:
+  run:
+    dir: _benchmark/tmpzfnncevl/commit=f745e7d3f902601686b83c7cce2660c2a94509f0/${hydra.job.override_dirname}
+  sweep:
+    dir: _benchmark/tmpzfnncevl/commit=f745e7d3f902601686b83c7cce2660c2a94509f0
+    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)
+
+
+      $HYDRA_CONFIG_GROUPS
+
+
+      Use ''--cfg hydra'' to Show the Hydra config.
+
+      '
+    hydra_help: ???
+  hydra_logging:
+    version: 1
+    root:
+      level: ERROR
+    disable_existing_loggers: true
+  job_logging:
+    version: 1
+    root:
+      level: ERROR
+    disable_existing_loggers: true
+  env: {}
+  mode: MULTIRUN
+  searchpath: []
+  callbacks: {}
+  output_subdir: .hydra
+  overrides:
+    hydra:
+    - hydra/job_logging=disabled
+    - hydra/hydra_logging=disabled
+    - hydra.sweep.dir=_benchmark/tmpzfnncevl/commit\=f745e7d3f902601686b83c7cce2660c2a94509f0
+    - hydra.run.dir=_benchmark/tmpzfnncevl/commit\=f745e7d3f902601686b83c7cce2660c2a94509f0/${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/tmpzfnncevl/commit=f745e7d3f902601686b83c7cce2660c2a94509f0/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

2024-09-10/commit=f745e7d3f902601686b83c7cce2660c2a94509f0/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

2024-09-10/commit=f745e7d3f902601686b83c7cce2660c2a94509f0/backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=False/benchmark.json

@@ -0,0 +1,473 @@
+{
+    "config": {
+        "name": "pytorch_generate",
+        "backend": {
+            "name": "pytorch",
+            "version": "2.4.0+cu121",
+            "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
+            "task": "text-generation",
+            "library": "transformers",
+            "model_type": "gemma",
+            "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": {},
+            "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,
+            "memory": true,
+            "latency": 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",
+            "numactl": false,
+            "numactl_kwargs": {},
+            "start_method": "spawn"
+        },
+        "environment": {
+            "cpu": " AMD EPYC 7R32",
+            "cpu_count": 16,
+            "cpu_ram_mb": 66697.261056,
+            "system": "Linux",
+            "machine": "x86_64",
+            "platform": "Linux-5.10.223-212.873.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": "0.4.0",
+            "optimum_benchmark_commit": null,
+            "transformers_version": "4.45.0.dev0",
+            "transformers_commit": "f745e7d3f902601686b83c7cce2660c2a94509f0",
+            "accelerate_version": "0.35.0.dev0",
+            "accelerate_commit": null,
+            "diffusers_version": null,
+            "diffusers_commit": null,
+            "optimum_version": "1.22.0.dev0",
+            "optimum_commit": null,
+            "timm_version": "0.9.16",
+            "timm_commit": null,
+            "peft_version": "0.12.1.dev0",
+            "peft_commit": null
+        }
+    },
+    "report": {
+        "load": {
+            "memory": {
+                "unit": "MB",
+                "max_ram": 1333.673984,
+                "max_global_vram": 6775.373824,
+                "max_process_vram": 0.0,
+                "max_reserved": 6138.363904,
+                "max_allocated": 6060.931072
+            },
+            "latency": {
+                "unit": "s",
+                "count": 1,
+                "total": 11.43676953125,
+                "mean": 11.43676953125,
+                "stdev": 0.0,
+                "p50": 11.43676953125,
+                "p90": 11.43676953125,
+                "p95": 11.43676953125,
+                "p99": 11.43676953125,
+                "values": [
+                    11.43676953125
+                ]
+            },
+            "throughput": null,
+            "energy": null,
+            "efficiency": null
+        },
+        "prefill": {
+            "memory": {
+                "unit": "MB",
+                "max_ram": 1835.728896,
+                "max_global_vram": 6796.345344,
+                "max_process_vram": 0.0,
+                "max_reserved": 6142.558208,
+                "max_allocated": 5028.450816
+            },
+            "latency": {
+                "unit": "s",
+                "count": 2,
+                "total": 0.04459542274475098,
+                "mean": 0.02229771137237549,
+                "stdev": 1.8832206726073636e-05,
+                "p50": 0.02229771137237549,
+                "p90": 0.022312777137756347,
+                "p95": 0.022314660358428957,
+                "p99": 0.022316166934967043,
+                "values": [
+                    0.022278879165649416,
+                    0.022316543579101563
+                ]
+            },
+            "throughput": {
+                "unit": "tokens/s",
+                "value": 313.9335639922338
+            },
+            "energy": null,
+            "efficiency": null
+        },
+        "decode": {
+            "memory": {
+                "unit": "MB",
+                "max_ram": 1862.868992,
+                "max_global_vram": 6800.539648,
+                "max_process_vram": 0.0,
+                "max_reserved": 6146.752512,
+                "max_allocated": 5031.820288
+            },
+            "latency": {
+                "unit": "s",
+                "count": 2,
+                "total": 5.257376953125,
+                "mean": 2.6286884765625,
+                "stdev": 0.008773925781250025,
+                "p50": 2.6286884765625,
+                "p90": 2.6357076171875002,
+                "p95": 2.636585009765625,
+                "p99": 2.637286923828125,
+                "values": [
+                    2.61991455078125,
+                    2.63746240234375
+                ]
+            },
+            "throughput": {
+                "unit": "tokens/s",
+                "value": 48.313066052648495
+            },
+            "energy": null,
+            "efficiency": null
+        },
+        "per_token": {
+            "memory": null,
+            "latency": {
+                "unit": "s",
+                "count": 254,
+                "total": 5.257122823715212,
+                "mean": 0.020697333951634683,
+                "stdev": 0.0003283237564827691,
+                "p50": 0.020535295486450195,
+                "p90": 0.02123630771636963,
+                "p95": 0.021291468238830567,
+                "p99": 0.02175401975631714,
+                "values": [
+                    0.020512767791748047,
+                    0.020540416717529295,
+                    0.020556800842285155,
+                    0.02049843215942383,
+                    0.020526079177856444,
+                    0.020526079177856444,
+                    0.020531200408935548,
+                    0.020502527236938475,
+                    0.020388864517211915,
+                    0.020582399368286132,
+                    0.020932607650756836,
+                    0.021168127059936523,
+                    0.020595712661743162,
+                    0.020521984100341797,
+                    0.020534271240234374,
+                    0.020554752349853517,
+                    0.020540416717529295,
+                    0.02050048065185547,
+                    0.020535295486450195,
+                    0.02046771240234375,
+                    0.020527103424072265,
+                    0.020519935607910156,
+                    0.02058137512207031,
+                    0.02053222465515137,
+                    0.02049945640563965,
+                    0.02046668815612793,
+                    0.02064384078979492,
+                    0.021788671493530275,
+                    0.021380096435546874,
+                    0.021259263992309572,
+                    0.021242879867553712,
+                    0.021222400665283202,
+                    0.021296127319335938,
+                    0.02053222465515137,
+                    0.020553728103637696,
+                    0.020368383407592772,
+                    0.02063871955871582,
+                    0.020513792037963868,
+                    0.020588544845581053,
+                    0.020512767791748047,
+                    0.020510719299316405,
+                    0.020501504898071288,
+                    0.020561920166015626,
+                    0.02051481628417969,
+                    0.020539392471313478,
+                    0.02050361633300781,
+                    0.0205731201171875,
+                    0.02048204803466797,
+                    0.02046668815612793,
+                    0.02046463966369629,
+                    0.02050662422180176,
+                    0.020537376403808594,
+                    0.02053424072265625,
+                    0.02048409652709961,
+                    0.020570112228393556,
+                    0.02051584053039551,
+                    0.020525056838989256,
+                    0.020489215850830078,
+                    0.020538368225097657,
+                    0.020644863128662108,
+                    0.020692991256713866,
+                    0.021128192901611328,
+                    0.020641792297363282,
+                    0.020508672714233397,
+                    0.020529151916503906,
+                    0.021007360458374022,
+                    0.021393407821655275,
+                    0.021271551132202148,
+                    0.021198848724365234,
+                    0.021210111618041993,
+                    0.02109951972961426,
+                    0.020426752090454102,
+                    0.020521984100341797,
+                    0.020551679611206054,
+                    0.020518911361694335,
+                    0.020508672714233397,
+                    0.020463615417480468,
+                    0.020513792037963868,
+                    0.02045644760131836,
+                    0.020528127670288086,
+                    0.020454399108886717,
+                    0.020502527236938475,
+                    0.02049945640563965,
+                    0.02051481628417969,
+                    0.02046566390991211,
+                    0.020535295486450195,
+                    0.020549631118774413,
+                    0.020509695053100584,
+                    0.020537343978881836,
+                    0.020620288848876952,
+                    0.020562944412231447,
+                    0.020551679611206054,
+                    0.020505599975585938,
+                    0.020559871673583984,
+                    0.020534271240234374,
+                    0.020526079177856444,
+                    0.020530176162719727,
+                    0.020463615417480468,
+                    0.020553728103637696,
+                    0.020445184707641603,
+                    0.020497407913208008,
+                    0.020772863388061523,
+                    0.021226495742797852,
+                    0.021180416107177736,
+                    0.020520959854125977,
+                    0.020460544586181642,
+                    0.020505599975585938,
+                    0.020521984100341797,
+                    0.020547584533691408,
+                    0.020518911361694335,
+                    0.02087321662902832,
+                    0.02104319953918457,
+                    0.020770816802978515,
+                    0.020538368225097657,
+                    0.02057318305969238,
+                    0.020551679611206054,
+                    0.020567039489746093,
+                    0.020526079177856444,
+                    0.020512767791748047,
+                    0.020554752349853517,
+                    0.02048307228088379,
+                    0.02048204803466797,
+                    0.020509695053100584,
+                    0.020471872329711913,
+                    0.020444095611572264,
+                    0.02043084716796875,
+                    0.020460544586181642,
+                    0.02053222465515137,
+                    0.02049228858947754,
+                    0.0204400634765625,
+                    0.020479999542236327,
+                    0.02046771240234375,
+                    0.020502527236938475,
+                    0.02048409652709961,
+                    0.020545536041259766,
+                    0.02048307228088379,
+                    0.02048307228088379,
+                    0.020561920166015626,
+                    0.020486143112182616,
+                    0.02051584053039551,
+                    0.02044927978515625,
+                    0.021583871841430666,
+                    0.021198848724365234,
+                    0.020495359420776366,
+                    0.020753408432006838,
+                    0.021167104721069335,
+                    0.020592639923095703,
+                    0.020516864776611327,
+                    0.020495359420776366,
+                    0.02046463966369629,
+                    0.020516864776611327,
+                    0.020493312835693358,
+                    0.020471807479858398,
+                    0.02044927978515625,
+                    0.021109760284423826,
+                    0.02122035217285156,
+                    0.021164031982421876,
+                    0.02162483215332031,
+                    0.02048204803466797,
+                    0.02128895950317383,
+                    0.021740543365478517,
+                    0.021769216537475586,
+                    0.021268512725830076,
+                    0.021240800857543946,
+                    0.020530176162719727,
+                    0.020508672714233397,
+                    0.02050764846801758,
+                    0.02045337677001953,
+                    0.020554752349853517,
+                    0.020337663650512695,
+                    0.020384767532348632,
+                    0.02047590446472168,
+                    0.02046668815612793,
+                    0.020468736648559572,
+                    0.021226495742797852,
+                    0.021255168914794922,
+                    0.020510719299316405,
+                    0.020463615417480468,
+                    0.020611072540283205,
+                    0.021420032501220702,
+                    0.02124799919128418,
+                    0.021179391860961915,
+                    0.020545536041259766,
+                    0.0204769287109375,
+                    0.020530176162719727,
+                    0.020553728103637696,
+                    0.020518911361694335,
+                    0.020531200408935548,
+                    0.020943872451782225,
+                    0.0212992000579834,
+                    0.021238784790039062,
+                    0.02125312042236328,
+                    0.021195775985717775,
+                    0.021213184356689452,
+                    0.021128192901611328,
+                    0.02061516761779785,
+                    0.021186559677124024,
+                    0.021243904113769533,
+                    0.021215232849121093,
+                    0.021211135864257814,
+                    0.021191680908203125,
+                    0.021212160110473634,
+                    0.021100608825683594,
+                    0.021230527877807617,
+                    0.0211712646484375,
+                    0.02115065574645996,
+                    0.020802560806274413,
+                    0.02122137641906738,
+                    0.02125721549987793,
+                    0.021394432067871092,
+                    0.021783552169799804,
+                    0.02142720031738281,
+                    0.021213184356689452,
+                    0.02125312042236328,
+                    0.020617216110229493,
+                    0.020587520599365236,
+                    0.020540416717529295,
+                    0.020531200408935548,
+                    0.020479999542236327,
+                    0.020553728103637696,
+                    0.020553728103637696,
+                    0.020552703857421875,
+                    0.020545536041259766,
+                    0.020543487548828124,
+                    0.02044927978515625,
+                    0.020496383666992187,
+                    0.020470783233642577,
+                    0.020546560287475587,
+                    0.020498464584350586,
+                    0.020567007064819336,
+                    0.020502527236938475,
+                    0.020511743545532226,
+                    0.020501504898071288,
+                    0.020517887115478514,
+                    0.020516864776611327,
+                    0.020548608779907225,
+                    0.020564992904663085,
+                    0.020552703857421875,
+                    0.02047283172607422,
+                    0.020557823181152343,
+                    0.020523008346557618,
+                    0.020504575729370117,
+                    0.020511743545532226,
+                    0.020553728103637696,
+                    0.020572160720825194,
+                    0.020493343353271486,
+                    0.02049737548828125,
+                    0.020552703857421875,
+                    0.020560895919799805,
+                    0.02039091110229492,
+                    0.020526079177856444,
+                    0.020727807998657227,
+                    0.020669439315795898,
+                    0.020523008346557618
+                ]
+            },
+            "throughput": {
+                "unit": "tokens/s",
+                "value": 48.31540150711148
+            },
+            "energy": null,
+            "efficiency": null
+        }
+    }
+}

2024-09-10/commit=f745e7d3f902601686b83c7cce2660c2a94509f0/backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=False/benchmark_config.json

@@ -0,0 +1,104 @@
+{
+    "name": "pytorch_generate",
+    "backend": {
+        "name": "pytorch",
+        "version": "2.4.0+cu121",
+        "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
+        "task": "text-generation",
+        "library": "transformers",
+        "model_type": "gemma",
+        "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": {},
+        "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,
+        "memory": true,
+        "latency": 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",
+        "numactl": false,
+        "numactl_kwargs": {},
+        "start_method": "spawn"
+    },
+    "environment": {
+        "cpu": " AMD EPYC 7R32",
+        "cpu_count": 16,
+        "cpu_ram_mb": 66697.261056,
+        "system": "Linux",
+        "machine": "x86_64",
+        "platform": "Linux-5.10.223-212.873.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": "0.4.0",
+        "optimum_benchmark_commit": null,
+        "transformers_version": "4.45.0.dev0",
+        "transformers_commit": "f745e7d3f902601686b83c7cce2660c2a94509f0",
+        "accelerate_version": "0.35.0.dev0",
+        "accelerate_commit": null,
+        "diffusers_version": null,
+        "diffusers_commit": null,
+        "optimum_version": "1.22.0.dev0",
+        "optimum_commit": null,
+        "timm_version": "0.9.16",
+        "timm_commit": null,
+        "peft_version": "0.12.1.dev0",
+        "peft_commit": null
+    }
+}

2024-09-10/commit=f745e7d3f902601686b83c7cce2660c2a94509f0/backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=False/benchmark_report.json

@@ -0,0 +1,367 @@
+{
+    "load": {
+        "memory": {
+            "unit": "MB",
+            "max_ram": 1333.673984,
+            "max_global_vram": 6775.373824,
+            "max_process_vram": 0.0,
+            "max_reserved": 6138.363904,
+            "max_allocated": 6060.931072
+        },
+        "latency": {
+            "unit": "s",
+            "count": 1,
+            "total": 11.43676953125,
+            "mean": 11.43676953125,
+            "stdev": 0.0,
+            "p50": 11.43676953125,
+            "p90": 11.43676953125,
+            "p95": 11.43676953125,
+            "p99": 11.43676953125,
+            "values": [
+                11.43676953125
+            ]
+        },
+        "throughput": null,
+        "energy": null,
+        "efficiency": null
+    },
+    "prefill": {
+        "memory": {
+            "unit": "MB",
+            "max_ram": 1835.728896,
+            "max_global_vram": 6796.345344,
+            "max_process_vram": 0.0,
+            "max_reserved": 6142.558208,
+            "max_allocated": 5028.450816
+        },
+        "latency": {
+            "unit": "s",
+            "count": 2,
+            "total": 0.04459542274475098,
+            "mean": 0.02229771137237549,
+            "stdev": 1.8832206726073636e-05,
+            "p50": 0.02229771137237549,
+            "p90": 0.022312777137756347,
+            "p95": 0.022314660358428957,
+            "p99": 0.022316166934967043,
+            "values": [
+                0.022278879165649416,
+                0.022316543579101563
+            ]
+        },
+        "throughput": {
+            "unit": "tokens/s",
+            "value": 313.9335639922338
+        },
+        "energy": null,
+        "efficiency": null
+    },
+    "decode": {
+        "memory": {
+            "unit": "MB",
+            "max_ram": 1862.868992,
+            "max_global_vram": 6800.539648,
+            "max_process_vram": 0.0,
+            "max_reserved": 6146.752512,
+            "max_allocated": 5031.820288
+        },
+        "latency": {
+            "unit": "s",
+            "count": 2,
+            "total": 5.257376953125,
+            "mean": 2.6286884765625,
+            "stdev": 0.008773925781250025,
+            "p50": 2.6286884765625,
+            "p90": 2.6357076171875002,
+            "p95": 2.636585009765625,
+            "p99": 2.637286923828125,
+            "values": [
+                2.61991455078125,
+                2.63746240234375
+            ]
+        },
+        "throughput": {
+            "unit": "tokens/s",
+            "value": 48.313066052648495
+        },
+        "energy": null,
+        "efficiency": null
+    },
+    "per_token": {
+        "memory": null,
+        "latency": {
+            "unit": "s",
+            "count": 254,
+            "total": 5.257122823715212,
+            "mean": 0.020697333951634683,
+            "stdev": 0.0003283237564827691,
+            "p50": 0.020535295486450195,
+            "p90": 0.02123630771636963,
+            "p95": 0.021291468238830567,
+            "p99": 0.02175401975631714,
+            "values": [
+                0.020512767791748047,
+                0.020540416717529295,
+                0.020556800842285155,
+                0.02049843215942383,
+                0.020526079177856444,
+                0.020526079177856444,
+                0.020531200408935548,
+                0.020502527236938475,
+                0.020388864517211915,
+                0.020582399368286132,
+                0.020932607650756836,
+                0.021168127059936523,
+                0.020595712661743162,
+                0.020521984100341797,
+                0.020534271240234374,
+                0.020554752349853517,
+                0.020540416717529295,
+                0.02050048065185547,
+                0.020535295486450195,
+                0.02046771240234375,
+                0.020527103424072265,
+                0.020519935607910156,
+                0.02058137512207031,
+                0.02053222465515137,
+                0.02049945640563965,
+                0.02046668815612793,
+                0.02064384078979492,
+                0.021788671493530275,
+                0.021380096435546874,
+                0.021259263992309572,
+                0.021242879867553712,
+                0.021222400665283202,
+                0.021296127319335938,
+                0.02053222465515137,
+                0.020553728103637696,
+                0.020368383407592772,
+                0.02063871955871582,
+                0.020513792037963868,
+                0.020588544845581053,
+                0.020512767791748047,
+                0.020510719299316405,
+                0.020501504898071288,
+                0.020561920166015626,
+                0.02051481628417969,
+                0.020539392471313478,
+                0.02050361633300781,
+                0.0205731201171875,
+                0.02048204803466797,
+                0.02046668815612793,
+                0.02046463966369629,
+                0.02050662422180176,
+                0.020537376403808594,
+                0.02053424072265625,
+                0.02048409652709961,
+                0.020570112228393556,
+                0.02051584053039551,
+                0.020525056838989256,
+                0.020489215850830078,
+                0.020538368225097657,
+                0.020644863128662108,
+                0.020692991256713866,
+                0.021128192901611328,
+                0.020641792297363282,
+                0.020508672714233397,
+                0.020529151916503906,
+                0.021007360458374022,
+                0.021393407821655275,
+                0.021271551132202148,
+                0.021198848724365234,
+                0.021210111618041993,
+                0.02109951972961426,
+                0.020426752090454102,
+                0.020521984100341797,
+                0.020551679611206054,
+                0.020518911361694335,
+                0.020508672714233397,
+                0.020463615417480468,
+                0.020513792037963868,
+                0.02045644760131836,
+                0.020528127670288086,
+                0.020454399108886717,
+                0.020502527236938475,
+                0.02049945640563965,
+                0.02051481628417969,
+                0.02046566390991211,
+                0.020535295486450195,
+                0.020549631118774413,
+                0.020509695053100584,
+                0.020537343978881836,
+                0.020620288848876952,
+                0.020562944412231447,
+                0.020551679611206054,
+                0.020505599975585938,
+                0.020559871673583984,
+                0.020534271240234374,
+                0.020526079177856444,
+                0.020530176162719727,
+                0.020463615417480468,
+                0.020553728103637696,
+                0.020445184707641603,
+                0.020497407913208008,
+                0.020772863388061523,
+                0.021226495742797852,
+                0.021180416107177736,
+                0.020520959854125977,
+                0.020460544586181642,
+                0.020505599975585938,
+                0.020521984100341797,
+                0.020547584533691408,
+                0.020518911361694335,
+                0.02087321662902832,
+                0.02104319953918457,
+                0.020770816802978515,
+                0.020538368225097657,
+                0.02057318305969238,
+                0.020551679611206054,
+                0.020567039489746093,
+                0.020526079177856444,
+                0.020512767791748047,
+                0.020554752349853517,
+                0.02048307228088379,
+                0.02048204803466797,
+                0.020509695053100584,
+                0.020471872329711913,
+                0.020444095611572264,
+                0.02043084716796875,
+                0.020460544586181642,
+                0.02053222465515137,
+                0.02049228858947754,
+                0.0204400634765625,
+                0.020479999542236327,
+                0.02046771240234375,
+                0.020502527236938475,
+                0.02048409652709961,
+                0.020545536041259766,
+                0.02048307228088379,
+                0.02048307228088379,
+                0.020561920166015626,
+                0.020486143112182616,
+                0.02051584053039551,
+                0.02044927978515625,
+                0.021583871841430666,
+                0.021198848724365234,
+                0.020495359420776366,
+                0.020753408432006838,
+                0.021167104721069335,
+                0.020592639923095703,
+                0.020516864776611327,
+                0.020495359420776366,
+                0.02046463966369629,
+                0.020516864776611327,
+                0.020493312835693358,
+                0.020471807479858398,
+                0.02044927978515625,
+                0.021109760284423826,
+                0.02122035217285156,
+                0.021164031982421876,
+                0.02162483215332031,
+                0.02048204803466797,
+                0.02128895950317383,
+                0.021740543365478517,
+                0.021769216537475586,
+                0.021268512725830076,
+                0.021240800857543946,
+                0.020530176162719727,
+                0.020508672714233397,
+                0.02050764846801758,
+                0.02045337677001953,
+                0.020554752349853517,
+                0.020337663650512695,
+                0.020384767532348632,
+                0.02047590446472168,
+                0.02046668815612793,
+                0.020468736648559572,
+                0.021226495742797852,
+                0.021255168914794922,
+                0.020510719299316405,
+                0.020463615417480468,
+                0.020611072540283205,
+                0.021420032501220702,
+                0.02124799919128418,
+                0.021179391860961915,
+                0.020545536041259766,
+                0.0204769287109375,
+                0.020530176162719727,
+                0.020553728103637696,
+                0.020518911361694335,
+                0.020531200408935548,
+                0.020943872451782225,
+                0.0212992000579834,
+                0.021238784790039062,
+                0.02125312042236328,
+                0.021195775985717775,
+                0.021213184356689452,
+                0.021128192901611328,
+                0.02061516761779785,
+                0.021186559677124024,
+                0.021243904113769533,
+                0.021215232849121093,
+                0.021211135864257814,
+                0.021191680908203125,
+                0.021212160110473634,
+                0.021100608825683594,
+                0.021230527877807617,
+                0.0211712646484375,
+                0.02115065574645996,
+                0.020802560806274413,
+                0.02122137641906738,
+                0.02125721549987793,
+                0.021394432067871092,
+                0.021783552169799804,
+                0.02142720031738281,
+                0.021213184356689452,
+                0.02125312042236328,
+                0.020617216110229493,
+                0.020587520599365236,
+                0.020540416717529295,
+                0.020531200408935548,
+                0.020479999542236327,
+                0.020553728103637696,
+                0.020553728103637696,
+                0.020552703857421875,
+                0.020545536041259766,
+                0.020543487548828124,
+                0.02044927978515625,
+                0.020496383666992187,
+                0.020470783233642577,
+                0.020546560287475587,
+                0.020498464584350586,
+                0.020567007064819336,
+                0.020502527236938475,
+                0.020511743545532226,
+                0.020501504898071288,
+                0.020517887115478514,
+                0.020516864776611327,
+                0.020548608779907225,
+                0.020564992904663085,
+                0.020552703857421875,
+                0.02047283172607422,
+                0.020557823181152343,
+                0.020523008346557618,
+                0.020504575729370117,
+                0.020511743545532226,
+                0.020553728103637696,
+                0.020572160720825194,
+                0.020493343353271486,
+                0.02049737548828125,
+                0.020552703857421875,
+                0.020560895919799805,
+                0.02039091110229492,
+                0.020526079177856444,
+                0.020727807998657227,
+                0.020669439315795898,
+                0.020523008346557618
+            ]
+        },
+        "throughput": {
+            "unit": "tokens/s",
+            "value": 48.31540150711148
+        },
+        "energy": null,
+        "efficiency": null
+    }
+}

2024-09-10/commit=f745e7d3f902601686b83c7cce2660c2a94509f0/backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=False/summary.json

@@ -0,0 +1,13 @@
+{
+    "model": "google/gemma-2b",
+    "commit": "f745e7d3f902601686b83c7cce2660c2a94509f0",
+    "config": "backend.cache_implementation=static,backend.torch_compile=False",
+    "metrics": {
+        "prefill.latency.mean": 0.02229771137237549,
+        "prefill.throughput.value": 313.9335639922338,
+        "decode.latency.mean": 2.6286884765625,
+        "decode.throughput.value": 48.313066052648495,
+        "per_token.latency.mean": 0.020697333951634683,
+        "per_token.throughput.value": 48.31540150711148
+    }
+}

2024-09-10/commit=f745e7d3f902601686b83c7cce2660c2a94509f0/backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=True/.hydra/config.yaml

@@ -0,0 +1,93 @@
+name: pytorch_generate
+backend:
+  name: pytorch
+  version: 2.4.0+cu121
+  _target_: optimum_benchmark.backends.pytorch.backend.PyTorchBackend
+  task: null
+  library: null
+  model_type: 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: {}
+  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
+  memory: true
+  latency: 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
+  numactl: false
+  numactl_kwargs: {}
+  start_method: spawn
+environment:
+  cpu: ' AMD EPYC 7R32'
+  cpu_count: 16
+  cpu_ram_mb: 66697.261056
+  system: Linux
+  machine: x86_64
+  platform: Linux-5.10.223-212.873.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: 0.4.0
+  optimum_benchmark_commit: null
+  transformers_version: 4.45.0.dev0
+  transformers_commit: f745e7d3f902601686b83c7cce2660c2a94509f0
+  accelerate_version: 0.35.0.dev0
+  accelerate_commit: null
+  diffusers_version: null
+  diffusers_commit: null
+  optimum_version: 1.22.0.dev0
+  optimum_commit: null
+  timm_version: 0.9.16
+  timm_commit: null
+  peft_version: 0.12.1.dev0
+  peft_commit: null

2024-09-10/commit=f745e7d3f902601686b83c7cce2660c2a94509f0/backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=True/.hydra/hydra.yaml

@@ -0,0 +1,141 @@
+hydra:
+  run:
+    dir: _benchmark/tmpzfnncevl/commit=f745e7d3f902601686b83c7cce2660c2a94509f0/${hydra.job.override_dirname}
+  sweep:
+    dir: _benchmark/tmpzfnncevl/commit=f745e7d3f902601686b83c7cce2660c2a94509f0
+    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)
+
+
+      $HYDRA_CONFIG_GROUPS
+
+
+      Use ''--cfg hydra'' to Show the Hydra config.
+
+      '
+    hydra_help: ???
+  hydra_logging:
+    version: 1
+    root:
+      level: ERROR
+    disable_existing_loggers: true
+  job_logging:
+    version: 1
+    root:
+      level: ERROR
+    disable_existing_loggers: true
+  env: {}
+  mode: MULTIRUN
+  searchpath: []
+  callbacks: {}
+  output_subdir: .hydra
+  overrides:
+    hydra:
+    - hydra/job_logging=disabled
+    - hydra/hydra_logging=disabled
+    - hydra.sweep.dir=_benchmark/tmpzfnncevl/commit\=f745e7d3f902601686b83c7cce2660c2a94509f0
+    - hydra.run.dir=_benchmark/tmpzfnncevl/commit\=f745e7d3f902601686b83c7cce2660c2a94509f0/${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/tmpzfnncevl/commit=f745e7d3f902601686b83c7cce2660c2a94509f0/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

2024-09-10/commit=f745e7d3f902601686b83c7cce2660c2a94509f0/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

2024-09-10/commit=f745e7d3f902601686b83c7cce2660c2a94509f0/backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=True/benchmark.json

@@ -0,0 +1,473 @@
+{
+    "config": {
+        "name": "pytorch_generate",
+        "backend": {
+            "name": "pytorch",
+            "version": "2.4.0+cu121",
+            "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
+            "task": "text-generation",
+            "library": "transformers",
+            "model_type": "gemma",
+            "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": {},
+            "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,
+            "memory": true,
+            "latency": 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",
+            "numactl": false,
+            "numactl_kwargs": {},
+            "start_method": "spawn"
+        },
+        "environment": {
+            "cpu": " AMD EPYC 7R32",
+            "cpu_count": 16,
+            "cpu_ram_mb": 66697.261056,
+            "system": "Linux",
+            "machine": "x86_64",
+            "platform": "Linux-5.10.223-212.873.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": "0.4.0",
+            "optimum_benchmark_commit": null,
+            "transformers_version": "4.45.0.dev0",
+            "transformers_commit": "f745e7d3f902601686b83c7cce2660c2a94509f0",
+            "accelerate_version": "0.35.0.dev0",
+            "accelerate_commit": null,
+            "diffusers_version": null,
+            "diffusers_commit": null,
+            "optimum_version": "1.22.0.dev0",
+            "optimum_commit": null,
+            "timm_version": "0.9.16",
+            "timm_commit": null,
+            "peft_version": "0.12.1.dev0",
+            "peft_commit": null
+        }
+    },
+    "report": {
+        "load": {
+            "memory": {
+                "unit": "MB",
+                "max_ram": 1353.822208,
+                "max_global_vram": 6775.373824,
+                "max_process_vram": 0.0,
+                "max_reserved": 6138.363904,
+                "max_allocated": 6060.931072
+            },
+            "latency": {
+                "unit": "s",
+                "count": 1,
+                "total": 12.31964453125,
+                "mean": 12.31964453125,
+                "stdev": 0.0,
+                "p50": 12.31964453125,
+                "p90": 12.31964453125,
+                "p95": 12.31964453125,
+                "p99": 12.31964453125,
+                "values": [
+                    12.31964453125
+                ]
+            },
+            "throughput": null,
+            "energy": null,
+            "efficiency": null
+        },
+        "prefill": {
+            "memory": {
+                "unit": "MB",
+                "max_ram": 1922.895872,
+                "max_global_vram": 6796.345344,
+                "max_process_vram": 0.0,
+                "max_reserved": 6138.363904,
+                "max_allocated": 5278.596608
+            },
+            "latency": {
+                "unit": "s",
+                "count": 2,
+                "total": 0.02845859146118164,
+                "mean": 0.01422929573059082,
+                "stdev": 9.86719131469728e-05,
+                "p50": 0.01422929573059082,
+                "p90": 0.014308233261108399,
+                "p95": 0.014318100452423096,
+                "p99": 0.014325994205474854,
+                "values": [
+                    0.014130623817443847,
+                    0.014327967643737793
+                ]
+            },
+            "throughput": {
+                "unit": "tokens/s",
+                "value": 491.9428292540906
+            },
+            "energy": null,
+            "efficiency": null
+        },
+        "decode": {
+            "memory": {
+                "unit": "MB",
+                "max_ram": 2095.980544,
+                "max_global_vram": 6060.244992,
+                "max_process_vram": 0.0,
+                "max_reserved": 5381.292032,
+                "max_allocated": 5282.647552
+            },
+            "latency": {
+                "unit": "s",
+                "count": 2,
+                "total": 3.12922314453125,
+                "mean": 1.564611572265625,
+                "stdev": 0.00022778320312499822,
+                "p50": 1.564611572265625,
+                "p90": 1.564793798828125,
+                "p95": 1.5648165771484375,
+                "p99": 1.5648347998046876,
+                "values": [
+                    1.56483935546875,
+                    1.5643837890625
+                ]
+            },
+            "throughput": {
+                "unit": "tokens/s",
+                "value": 81.17030594123659
+            },
+            "energy": null,
+            "efficiency": null
+        },
+        "per_token": {
+            "memory": null,
+            "latency": {
+                "unit": "s",
+                "count": 254,
+                "total": 3.128944636344909,
+                "mean": 0.01231867967064925,
+                "stdev": 9.868414454812689e-05,
+                "p50": 0.012294143676757812,
+                "p90": 0.012333158206939697,
+                "p95": 0.012415436697006225,
+                "p99": 0.012869986734390259,
+                "values": [
+                    0.012420096397399903,
+                    0.012290047645568849,
+                    0.012295167922973632,
+                    0.012360704421997071,
+                    0.012317695617675782,
+                    0.012289024353027344,
+                    0.012286975860595703,
+                    0.012285951614379884,
+                    0.012327936172485352,
+                    0.012283904075622559,
+                    0.012286975860595703,
+                    0.012288000106811523,
+                    0.01228492832183838,
+                    0.01229312038421631,
+                    0.012281855583190919,
+                    0.012296192169189453,
+                    0.012296192169189453,
+                    0.012286975860595703,
+                    0.012310527801513671,
+                    0.012289024353027344,
+                    0.012891136169433593,
+                    0.012786687850952149,
+                    0.012303359985351562,
+                    0.012298239707946777,
+                    0.012294143676757812,
+                    0.012299263954162597,
+                    0.012302335739135742,
+                    0.012296192169189453,
+                    0.012292096138000488,
+                    0.012301312446594239,
+                    0.012282879829406738,
+                    0.012326911926269531,
+                    0.012298303604125977,
+                    0.01228384017944336,
+                    0.012282879829406738,
+                    0.01228492832183838,
+                    0.012292096138000488,
+                    0.012285951614379884,
+                    0.012280832290649414,
+                    0.012290047645568849,
+                    0.012329983711242675,
+                    0.012290047645568849,
+                    0.01228492832183838,
+                    0.012286975860595703,
+                    0.012279808044433594,
+                    0.012319744110107422,
+                    0.012297216415405274,
+                    0.012291071891784668,
+                    0.012291071891784668,
+                    0.012283904075622559,
+                    0.012299263954162597,
+                    0.012299263954162597,
+                    0.012294143676757812,
+                    0.012289024353027344,
+                    0.012289024353027344,
+                    0.012297216415405274,
+                    0.012339200019836426,
+                    0.012301312446594239,
+                    0.012313599586486817,
+                    0.012320768356323243,
+                    0.012282879829406738,
+                    0.012299263954162597,
+                    0.012302335739135742,
+                    0.01229312038421631,
+                    0.012670975685119629,
+                    0.012307456016540527,
+                    0.012290047645568849,
+                    0.01228492832183838,
+                    0.012281855583190919,
+                    0.012281855583190919,
+                    0.012323840141296387,
+                    0.012310527801513671,
+                    0.01227673625946045,
+                    0.012290047645568849,
+                    0.012290047645568849,
+                    0.012285951614379884,
+                    0.012311552047729492,
+                    0.012297216415405274,
+                    0.012292096138000488,
+                    0.012289024353027344,
+                    0.012288000106811523,
+                    0.012338175773620605,
+                    0.012305407524108887,
+                    0.012292096138000488,
+                    0.012386303901672363,
+                    0.012310527801513671,
+                    0.012317695617675782,
+                    0.012294143676757812,
+                    0.012297216415405274,
+                    0.012301312446594239,
+                    0.01228492832183838,
+                    0.012300288200378418,
+                    0.012290047645568849,
+                    0.012304384231567383,
+                    0.012292096138000488,
+                    0.012285951614379884,
+                    0.012288000106811523,
+                    0.012312576293945313,
+                    0.012338175773620605,
+                    0.012297216415405274,
+                    0.012291071891784668,
+                    0.012285951614379884,
+                    0.012301312446594239,
+                    0.012294143676757812,
+                    0.012851231575012207,
+                    0.012842975616455077,
+                    0.012336128234863282,
+                    0.012328960418701173,
+                    0.01235148811340332,
+                    0.012302335739135742,
+                    0.012302335739135742,
+                    0.012289024353027344,
+                    0.01228492832183838,
+                    0.01227673625946045,
+                    0.012320768356323243,
+                    0.012302335739135742,
+                    0.01228492832183838,
+                    0.012285951614379884,
+                    0.01227673625946045,
+                    0.012278783798217773,
+                    0.012355584144592285,
+                    0.012329983711242675,
+                    0.012305407524108887,
+                    0.012292096138000488,
+                    0.012289024353027344,
+                    0.012305407524108887,
+                    0.012306431770324706,
+                    0.012313599586486817,
+                    0.012915712356567383,
+                    0.012621824264526366,
+                    0.012523520469665527,
+                    0.012426239967346191,
+                    0.012319744110107422,
+                    0.012337151527404786,
+                    0.012346367835998535,
+                    0.012300288200378418,
+                    0.012291071891784668,
+                    0.012278783798217773,
+                    0.012281855583190919,
+                    0.012295167922973632,
+                    0.012283904075622559,
+                    0.012280832290649414,
+                    0.012277759552001954,
+                    0.01228492832183838,
+                    0.012304384231567383,
+                    0.01229312038421631,
+                    0.012277759552001954,
+                    0.012305407524108887,
+                    0.012309503555297852,
+                    0.012453887939453125,
+                    0.012299263954162597,
+                    0.012283904075622559,
+                    0.012285951614379884,
+                    0.012291071891784668,
+                    0.012289024353027344,
+                    0.012300288200378418,
+                    0.012302335739135742,
+                    0.012285951614379884,
+                    0.012412927627563476,
+                    0.012299263954162597,
+                    0.012338175773620605,
+                    0.01233407974243164,
+                    0.012294143676757812,
+                    0.012282879829406738,
+                    0.012283904075622559,
+                    0.012301312446594239,
+                    0.012296192169189453,
+                    0.01229312038421631,
+                    0.01229312038421631,
+                    0.012296192169189453,
+                    0.01228492832183838,
+                    0.01229312038421631,
+                    0.012278783798217773,
+                    0.012326911926269531,
+                    0.012305407524108887,
+                    0.012291071891784668,
+                    0.012295167922973632,
+                    0.012304384231567383,
+                    0.012299263954162597,
+                    0.012310527801513671,
+                    0.012286975860595703,
+                    0.012291071891784668,
+                    0.012280832290649414,
+                    0.012278783798217773,
+                    0.012290047645568849,
+                    0.012304384231567383,
+                    0.012322815895080566,
+                    0.012920831680297852,
+                    0.012732416152954102,
+                    0.012307456016540527,
+                    0.012291071891784668,
+                    0.012309503555297852,
+                    0.012288000106811523,
+                    0.012286975860595703,
+                    0.012288000106811523,
+                    0.012289024353027344,
+                    0.012298239707946777,
+                    0.012313599586486817,
+                    0.012294143676757812,
+                    0.012283904075622559,
+                    0.012274687767028808,
+                    0.012321791648864745,
+                    0.012309503555297852,
+                    0.01228492832183838,
+                    0.01229312038421631,
+                    0.012283904075622559,
+                    0.012292096138000488,
+                    0.012307456016540527,
+                    0.012289024353027344,
+                    0.01228492832183838,
+                    0.012307456016540527,
+                    0.012309503555297852,
+                    0.012315648078918457,
+                    0.012283904075622559,
+                    0.012291071891784668,
+                    0.012292096138000488,
+                    0.012294143676757812,
+                    0.012291071891784668,
+                    0.012286975860595703,
+                    0.012290047645568849,
+                    0.01228492832183838,
+                    0.012275712013244629,
+                    0.012290047645568849,
+                    0.012312576293945313,
+                    0.012319744110107422,
+                    0.012286975860595703,
+                    0.012289024353027344,
+                    0.012306431770324706,
+                    0.012304384231567383,
+                    0.012289024353027344,
+                    0.012296192169189453,
+                    0.012289024353027344,
+                    0.012289024353027344,
+                    0.012291071891784668,
+                    0.012282879829406738,
+                    0.012291071891784668,
+                    0.012277759552001954,
+                    0.012300288200378418,
+                    0.012331007957458496,
+                    0.012296192169189453,
+                    0.012288000106811523,
+                    0.012295167922973632,
+                    0.012286975860595703,
+                    0.012304384231567383,
+                    0.012281855583190919,
+                    0.012283904075622559,
+                    0.012309503555297852,
+                    0.012303359985351562,
+                    0.012292096138000488,
+                    0.012300288200378418,
+                    0.012275712013244629,
+                    0.012310527801513671,
+                    0.012283904075622559,
+                    0.012288000106811523
+                ]
+            },
+            "throughput": {
+                "unit": "tokens/s",
+                "value": 81.17753093155116
+            },
+            "energy": null,
+            "efficiency": null
+        }
+    }
+}

2024-09-10/commit=f745e7d3f902601686b83c7cce2660c2a94509f0/backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=True/benchmark_config.json

@@ -0,0 +1,104 @@
+{
+    "name": "pytorch_generate",
+    "backend": {
+        "name": "pytorch",
+        "version": "2.4.0+cu121",
+        "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
+        "task": "text-generation",
+        "library": "transformers",
+        "model_type": "gemma",
+        "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": {},
+        "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,
+        "memory": true,
+        "latency": 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",
+        "numactl": false,
+        "numactl_kwargs": {},
+        "start_method": "spawn"
+    },
+    "environment": {
+        "cpu": " AMD EPYC 7R32",
+        "cpu_count": 16,
+        "cpu_ram_mb": 66697.261056,
+        "system": "Linux",
+        "machine": "x86_64",
+        "platform": "Linux-5.10.223-212.873.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": "0.4.0",
+        "optimum_benchmark_commit": null,
+        "transformers_version": "4.45.0.dev0",
+        "transformers_commit": "f745e7d3f902601686b83c7cce2660c2a94509f0",
+        "accelerate_version": "0.35.0.dev0",
+        "accelerate_commit": null,
+        "diffusers_version": null,
+        "diffusers_commit": null,
+        "optimum_version": "1.22.0.dev0",
+        "optimum_commit": null,
+        "timm_version": "0.9.16",
+        "timm_commit": null,
+        "peft_version": "0.12.1.dev0",
+        "peft_commit": null
+    }
+}

2024-09-10/commit=f745e7d3f902601686b83c7cce2660c2a94509f0/backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=True/benchmark_report.json

@@ -0,0 +1,367 @@
+{
+    "load": {
+        "memory": {
+            "unit": "MB",
+            "max_ram": 1353.822208,
+            "max_global_vram": 6775.373824,
+            "max_process_vram": 0.0,
+            "max_reserved": 6138.363904,
+            "max_allocated": 6060.931072
+        },
+        "latency": {
+            "unit": "s",
+            "count": 1,
+            "total": 12.31964453125,
+            "mean": 12.31964453125,
+            "stdev": 0.0,
+            "p50": 12.31964453125,
+            "p90": 12.31964453125,
+            "p95": 12.31964453125,
+            "p99": 12.31964453125,
+            "values": [
+                12.31964453125
+            ]
+        },
+        "throughput": null,
+        "energy": null,
+        "efficiency": null
+    },
+    "prefill": {
+        "memory": {
+            "unit": "MB",
+            "max_ram": 1922.895872,
+            "max_global_vram": 6796.345344,
+            "max_process_vram": 0.0,
+            "max_reserved": 6138.363904,
+            "max_allocated": 5278.596608
+        },
+        "latency": {
+            "unit": "s",
+            "count": 2,
+            "total": 0.02845859146118164,
+            "mean": 0.01422929573059082,
+            "stdev": 9.86719131469728e-05,
+            "p50": 0.01422929573059082,
+            "p90": 0.014308233261108399,
+            "p95": 0.014318100452423096,
+            "p99": 0.014325994205474854,
+            "values": [
+                0.014130623817443847,
+                0.014327967643737793
+            ]
+        },
+        "throughput": {
+            "unit": "tokens/s",
+            "value": 491.9428292540906
+        },
+        "energy": null,
+        "efficiency": null
+    },
+    "decode": {
+        "memory": {
+            "unit": "MB",
+            "max_ram": 2095.980544,
+            "max_global_vram": 6060.244992,
+            "max_process_vram": 0.0,
+            "max_reserved": 5381.292032,
+            "max_allocated": 5282.647552
+        },
+        "latency": {
+            "unit": "s",
+            "count": 2,
+            "total": 3.12922314453125,
+            "mean": 1.564611572265625,
+            "stdev": 0.00022778320312499822,
+            "p50": 1.564611572265625,
+            "p90": 1.564793798828125,
+            "p95": 1.5648165771484375,
+            "p99": 1.5648347998046876,
+            "values": [
+                1.56483935546875,
+                1.5643837890625
+            ]
+        },
+        "throughput": {
+            "unit": "tokens/s",
+            "value": 81.17030594123659
+        },
+        "energy": null,
+        "efficiency": null
+    },
+    "per_token": {
+        "memory": null,
+        "latency": {
+            "unit": "s",
+            "count": 254,
+            "total": 3.128944636344909,
+            "mean": 0.01231867967064925,
+            "stdev": 9.868414454812689e-05,
+            "p50": 0.012294143676757812,
+            "p90": 0.012333158206939697,
+            "p95": 0.012415436697006225,
+            "p99": 0.012869986734390259,
+            "values": [
+                0.012420096397399903,
+                0.012290047645568849,
+                0.012295167922973632,
+                0.012360704421997071,
+                0.012317695617675782,
+                0.012289024353027344,
+                0.012286975860595703,
+                0.012285951614379884,
+                0.012327936172485352,
+                0.012283904075622559,
+                0.012286975860595703,
+                0.012288000106811523,
+                0.01228492832183838,
+                0.01229312038421631,
+                0.012281855583190919,
+                0.012296192169189453,
+                0.012296192169189453,
+                0.012286975860595703,
+                0.012310527801513671,
+                0.012289024353027344,
+                0.012891136169433593,
+                0.012786687850952149,
+                0.012303359985351562,
+                0.012298239707946777,
+                0.012294143676757812,
+                0.012299263954162597,
+                0.012302335739135742,
+                0.012296192169189453,
+                0.012292096138000488,
+                0.012301312446594239,
+                0.012282879829406738,
+                0.012326911926269531,
+                0.012298303604125977,
+                0.01228384017944336,
+                0.012282879829406738,
+                0.01228492832183838,
+                0.012292096138000488,
+                0.012285951614379884,
+                0.012280832290649414,
+                0.012290047645568849,
+                0.012329983711242675,
+                0.012290047645568849,
+                0.01228492832183838,
+                0.012286975860595703,
+                0.012279808044433594,
+                0.012319744110107422,
+                0.012297216415405274,
+                0.012291071891784668,
+                0.012291071891784668,
+                0.012283904075622559,
+                0.012299263954162597,
+                0.012299263954162597,
+                0.012294143676757812,
+                0.012289024353027344,
+                0.012289024353027344,
+                0.012297216415405274,
+                0.012339200019836426,
+                0.012301312446594239,
+                0.012313599586486817,
+                0.012320768356323243,
+                0.012282879829406738,
+                0.012299263954162597,
+                0.012302335739135742,
+                0.01229312038421631,
+                0.012670975685119629,
+                0.012307456016540527,
+                0.012290047645568849,
+                0.01228492832183838,
+                0.012281855583190919,
+                0.012281855583190919,
+                0.012323840141296387,
+                0.012310527801513671,
+                0.01227673625946045,
+                0.012290047645568849,
+                0.012290047645568849,
+                0.012285951614379884,
+                0.012311552047729492,
+                0.012297216415405274,
+                0.012292096138000488,
+                0.012289024353027344,
+                0.012288000106811523,
+                0.012338175773620605,
+                0.012305407524108887,
+                0.012292096138000488,
+                0.012386303901672363,
+                0.012310527801513671,
+                0.012317695617675782,
+                0.012294143676757812,
+                0.012297216415405274,
+                0.012301312446594239,
+                0.01228492832183838,
+                0.012300288200378418,
+                0.012290047645568849,
+                0.012304384231567383,
+                0.012292096138000488,
+                0.012285951614379884,
+                0.012288000106811523,
+                0.012312576293945313,
+                0.012338175773620605,
+                0.012297216415405274,
+                0.012291071891784668,
+                0.012285951614379884,
+                0.012301312446594239,
+                0.012294143676757812,
+                0.012851231575012207,
+                0.012842975616455077,
+                0.012336128234863282,
+                0.012328960418701173,
+                0.01235148811340332,
+                0.012302335739135742,
+                0.012302335739135742,
+                0.012289024353027344,
+                0.01228492832183838,
+                0.01227673625946045,
+                0.012320768356323243,
+                0.012302335739135742,
+                0.01228492832183838,
+                0.012285951614379884,
+                0.01227673625946045,
+                0.012278783798217773,
+                0.012355584144592285,
+                0.012329983711242675,
+                0.012305407524108887,
+                0.012292096138000488,
+                0.012289024353027344,
+                0.012305407524108887,
+                0.012306431770324706,
+                0.012313599586486817,
+                0.012915712356567383,
+                0.012621824264526366,
+                0.012523520469665527,
+                0.012426239967346191,
+                0.012319744110107422,
+                0.012337151527404786,
+                0.012346367835998535,
+                0.012300288200378418,
+                0.012291071891784668,
+                0.012278783798217773,
+                0.012281855583190919,
+                0.012295167922973632,
+                0.012283904075622559,
+                0.012280832290649414,
+                0.012277759552001954,
+                0.01228492832183838,
+                0.012304384231567383,
+                0.01229312038421631,
+                0.012277759552001954,
+                0.012305407524108887,
+                0.012309503555297852,
+                0.012453887939453125,
+                0.012299263954162597,
+                0.012283904075622559,
+                0.012285951614379884,
+                0.012291071891784668,
+                0.012289024353027344,
+                0.012300288200378418,
+                0.012302335739135742,
+                0.012285951614379884,
+                0.012412927627563476,
+                0.012299263954162597,
+                0.012338175773620605,
+                0.01233407974243164,
+                0.012294143676757812,
+                0.012282879829406738,
+                0.012283904075622559,
+                0.012301312446594239,
+                0.012296192169189453,
+                0.01229312038421631,
+                0.01229312038421631,
+                0.012296192169189453,
+                0.01228492832183838,
+                0.01229312038421631,
+                0.012278783798217773,
+                0.012326911926269531,
+                0.012305407524108887,
+                0.012291071891784668,
+                0.012295167922973632,
+                0.012304384231567383,
+                0.012299263954162597,
+                0.012310527801513671,
+                0.012286975860595703,
+                0.012291071891784668,
+                0.012280832290649414,
+                0.012278783798217773,
+                0.012290047645568849,
+                0.012304384231567383,
+                0.012322815895080566,
+                0.012920831680297852,
+                0.012732416152954102,
+                0.012307456016540527,
+                0.012291071891784668,
+                0.012309503555297852,
+                0.012288000106811523,
+                0.012286975860595703,
+                0.012288000106811523,
+                0.012289024353027344,
+                0.012298239707946777,
+                0.012313599586486817,
+                0.012294143676757812,
+                0.012283904075622559,
+                0.012274687767028808,
+                0.012321791648864745,
+                0.012309503555297852,
+                0.01228492832183838,
+                0.01229312038421631,
+                0.012283904075622559,
+                0.012292096138000488,
+                0.012307456016540527,
+                0.012289024353027344,
+                0.01228492832183838,
+                0.012307456016540527,
+                0.012309503555297852,
+                0.012315648078918457,
+                0.012283904075622559,
+                0.012291071891784668,
+                0.012292096138000488,
+                0.012294143676757812,
+                0.012291071891784668,
+                0.012286975860595703,
+                0.012290047645568849,
+                0.01228492832183838,
+                0.012275712013244629,
+                0.012290047645568849,
+                0.012312576293945313,
+                0.012319744110107422,
+                0.012286975860595703,
+                0.012289024353027344,
+                0.012306431770324706,
+                0.012304384231567383,
+                0.012289024353027344,
+                0.012296192169189453,
+                0.012289024353027344,
+                0.012289024353027344,
+                0.012291071891784668,
+                0.012282879829406738,
+                0.012291071891784668,
+                0.012277759552001954,
+                0.012300288200378418,
+                0.012331007957458496,
+                0.012296192169189453,
+                0.012288000106811523,
+                0.012295167922973632,
+                0.012286975860595703,
+                0.012304384231567383,
+                0.012281855583190919,
+                0.012283904075622559,
+                0.012309503555297852,
+                0.012303359985351562,
+                0.012292096138000488,
+                0.012300288200378418,
+                0.012275712013244629,
+                0.012310527801513671,
+                0.012283904075622559,
+                0.012288000106811523
+            ]
+        },
+        "throughput": {
+            "unit": "tokens/s",
+            "value": 81.17753093155116
+        },
+        "energy": null,
+        "efficiency": null
+    }
+}

2024-09-10/commit=f745e7d3f902601686b83c7cce2660c2a94509f0/backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=True/summary.json

@@ -0,0 +1,13 @@
+{
+    "model": "google/gemma-2b",
+    "commit": "f745e7d3f902601686b83c7cce2660c2a94509f0",
+    "config": "backend.cache_implementation=static,backend.torch_compile=True",
+    "metrics": {
+        "prefill.latency.mean": 0.01422929573059082,
+        "prefill.throughput.value": 491.9428292540906,
+        "decode.latency.mean": 1.564611572265625,
+        "decode.throughput.value": 81.17030594123659,
+        "per_token.latency.mean": 0.01231867967064925,
+        "per_token.throughput.value": 81.17753093155116
+    }
+}

2024-09-10/commit=f745e7d3f902601686b83c7cce2660c2a94509f0/multirun.yaml

@@ -0,0 +1,234 @@
+hydra:
+  run:
+    dir: _benchmark/tmpzfnncevl/commit=f745e7d3f902601686b83c7cce2660c2a94509f0/${hydra.job.override_dirname}
+  sweep:
+    dir: _benchmark/tmpzfnncevl/commit=f745e7d3f902601686b83c7cce2660c2a94509f0
+    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)
+
+
+      $HYDRA_CONFIG_GROUPS
+
+
+      Use ''--cfg hydra'' to Show the Hydra config.
+
+      '
+    hydra_help: ???
+  hydra_logging:
+    version: 1
+    root:
+      level: ERROR
+    disable_existing_loggers: true
+  job_logging:
+    version: 1
+    root:
+      level: ERROR
+    disable_existing_loggers: true
+  env: {}
+  mode: MULTIRUN
+  searchpath: []
+  callbacks: {}
+  output_subdir: .hydra
+  overrides:
+    hydra:
+    - hydra/job_logging=disabled
+    - hydra/hydra_logging=disabled
+    - hydra.sweep.dir=_benchmark/tmpzfnncevl/commit\=f745e7d3f902601686b83c7cce2660c2a94509f0
+    - hydra.run.dir=_benchmark/tmpzfnncevl/commit\=f745e7d3f902601686b83c7cce2660c2a94509f0/${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: 2.4.0+cu121
+  _target_: optimum_benchmark.backends.pytorch.backend.PyTorchBackend
+  task: null
+  library: null
+  model_type: 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: {}
+  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
+  memory: true
+  latency: 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
+  numactl: false
+  numactl_kwargs: {}
+  start_method: spawn
+environment:
+  cpu: ' AMD EPYC 7R32'
+  cpu_count: 16
+  cpu_ram_mb: 66697.261056
+  system: Linux
+  machine: x86_64
+  platform: Linux-5.10.223-212.873.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: 0.4.0
+  optimum_benchmark_commit: null
+  transformers_version: 4.45.0.dev0
+  transformers_commit: f745e7d3f902601686b83c7cce2660c2a94509f0
+  accelerate_version: 0.35.0.dev0
+  accelerate_commit: null
+  diffusers_version: null
+  diffusers_commit: null
+  optimum_version: 1.22.0.dev0
+  optimum_commit: null
+  timm_version: 0.9.16
+  timm_commit: null
+  peft_version: 0.12.1.dev0
+  peft_commit: null

2024-09-10/summaries.json

@@ -0,0 +1,41 @@
+[
+    {
+        "model": "google/gemma-2b",
+        "commit": "f745e7d3f902601686b83c7cce2660c2a94509f0",
+        "config": "backend.cache_implementation=null,backend.torch_compile=False",
+        "metrics": {
+            "prefill.latency.mean": 0.021567856788635254,
+            "prefill.throughput.value": 324.5570511989169,
+            "decode.latency.mean": 2.60877099609375,
+            "decode.throughput.value": 48.68192730989565,
+            "per_token.latency.mean": 0.02054022249086635,
+            "per_token.throughput.value": 48.684964364172366
+        }
+    },
+    {
+        "model": "google/gemma-2b",
+        "commit": "f745e7d3f902601686b83c7cce2660c2a94509f0",
+        "config": "backend.cache_implementation=static,backend.torch_compile=False",
+        "metrics": {
+            "prefill.latency.mean": 0.02229771137237549,
+            "prefill.throughput.value": 313.9335639922338,
+            "decode.latency.mean": 2.6286884765625,
+            "decode.throughput.value": 48.313066052648495,
+            "per_token.latency.mean": 0.020697333951634683,
+            "per_token.throughput.value": 48.31540150711148
+        }
+    },
+    {
+        "model": "google/gemma-2b",
+        "commit": "f745e7d3f902601686b83c7cce2660c2a94509f0",
+        "config": "backend.cache_implementation=static,backend.torch_compile=True",
+        "metrics": {
+            "prefill.latency.mean": 0.01422929573059082,
+            "prefill.throughput.value": 491.9428292540906,
+            "decode.latency.mean": 1.564611572265625,
+            "decode.throughput.value": 81.17030594123659,
+            "per_token.latency.mean": 0.01231867967064925,
+            "per_token.throughput.value": 81.17753093155116
+        }
+    }
+]

2024-09-10/summary.json

@@ -0,0 +1,40 @@
+{
+    "google/gemma-2b": {
+        "backend.cache_implementation=null,backend.torch_compile=False": {
+            "f745e7d3f902601686b83c7cce2660c2a94509f0": {
+                "metrics": {
+                    "prefill.latency.mean": 0.021567856788635254,
+                    "prefill.throughput.value": 324.5570511989169,
+                    "decode.latency.mean": 2.60877099609375,
+                    "decode.throughput.value": 48.68192730989565,
+                    "per_token.latency.mean": 0.02054022249086635,
+                    "per_token.throughput.value": 48.684964364172366
+                }
+            }
+        },
+        "backend.cache_implementation=static,backend.torch_compile=False": {
+            "f745e7d3f902601686b83c7cce2660c2a94509f0": {
+                "metrics": {
+                    "prefill.latency.mean": 0.02229771137237549,
+                    "prefill.throughput.value": 313.9335639922338,
+                    "decode.latency.mean": 2.6286884765625,
+                    "decode.throughput.value": 48.313066052648495,
+                    "per_token.latency.mean": 0.020697333951634683,
+                    "per_token.throughput.value": 48.31540150711148
+                }
+            }
+        },
+        "backend.cache_implementation=static,backend.torch_compile=True": {
+            "f745e7d3f902601686b83c7cce2660c2a94509f0": {
+                "metrics": {
+                    "prefill.latency.mean": 0.01422929573059082,
+                    "prefill.throughput.value": 491.9428292540906,
+                    "decode.latency.mean": 1.564611572265625,
+                    "decode.throughput.value": 81.17030594123659,
+                    "per_token.latency.mean": 0.01231867967064925,
+                    "per_token.throughput.value": 81.17753093155116
+                }
+            }
+        }
+    }
+}