Upload folder using huggingface_hub

2024-06-28/commit=1c68f2cafb4ca54562f74b66d1085b68dd6682f5/backend.cache_implementation=null,backend.model=google/gemma-2b,backend.torch_compile=False/.hydra/config.yaml

@@ -0,0 +1,91 @@
+name: pytorch_generate
+backend:
+  name: pytorch
+  version: 2.3.0+cu121
+  _target_: optimum_benchmark.backends.pytorch.backend.PyTorchBackend
+  task: null
+  library: null
+  model: google/gemma-2b
+  processor: null
+  device: cuda
+  device_ids: '0'
+  seed: 42
+  inter_op_num_threads: null
+  intra_op_num_threads: null
+  model_kwargs: {}
+  processor_kwargs: {}
+  hub_kwargs: {}
+  no_weights: true
+  device_map: null
+  torch_dtype: float16
+  eval_mode: true
+  to_bettertransformer: false
+  low_cpu_mem_usage: null
+  attn_implementation: null
+  cache_implementation: null
+  autocast_enabled: false
+  autocast_dtype: null
+  torch_compile: false
+  torch_compile_target: forward
+  torch_compile_config:
+    backend: inductor
+    mode: reduce-overhead
+    fullgraph: true
+  quantization_scheme: null
+  quantization_config: {}
+  deepspeed_inference: false
+  deepspeed_inference_config: {}
+  peft_type: null
+  peft_config: {}
+scenario:
+  name: inference
+  _target_: optimum_benchmark.scenarios.inference.scenario.InferenceScenario
+  iterations: 2
+  duration: 0
+  warmup_runs: 10
+  input_shapes:
+    batch_size: 1
+    sequence_length: 7
+  new_tokens: null
+  latency: true
+  memory: true
+  energy: false
+  forward_kwargs: {}
+  generate_kwargs:
+    max_new_tokens: 128
+    min_new_tokens: 128
+    do_sample: false
+  call_kwargs: {}
+launcher:
+  name: process
+  _target_: optimum_benchmark.launchers.process.launcher.ProcessLauncher
+  device_isolation: true
+  device_isolation_action: warn
+  start_method: spawn
+environment:
+  cpu: ' AMD EPYC 7R32'
+  cpu_count: 16
+  cpu_ram_mb: 66697.293824
+  system: Linux
+  machine: x86_64
+  platform: Linux-5.10.219-208.866.amzn2.x86_64-x86_64-with-glibc2.29
+  processor: x86_64
+  python_version: 3.8.10
+  gpu:
+  - NVIDIA A10G
+  gpu_count: 1
+  gpu_vram_mb: 24146608128
+  optimum_benchmark_version: 0.2.1
+  optimum_benchmark_commit: null
+  transformers_version: 4.43.0.dev0
+  transformers_commit: 1c68f2cafb4ca54562f74b66d1085b68dd6682f5
+  accelerate_version: 0.32.0.dev0
+  accelerate_commit: null
+  diffusers_version: null
+  diffusers_commit: null
+  optimum_version: 1.21.0.dev0
+  optimum_commit: null
+  timm_version: 0.9.16
+  timm_commit: null
+  peft_version: 0.11.2.dev0
+  peft_commit: null

2024-06-28/commit=1c68f2cafb4ca54562f74b66d1085b68dd6682f5/backend.cache_implementation=null,backend.model=google/gemma-2b,backend.torch_compile=False/.hydra/hydra.yaml

@@ -0,0 +1,141 @@
+hydra:
+  run:
+    dir: _benchmark/tmp8h7qih8k/commit=1c68f2cafb4ca54562f74b66d1085b68dd6682f5/${hydra.job.override_dirname}
+  sweep:
+    dir: _benchmark/tmp8h7qih8k/commit=1c68f2cafb4ca54562f74b66d1085b68dd6682f5
+    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)
+
+
+      $HYDRA_CONFIG_GROUPS
+
+
+      Use ''--cfg hydra'' to Show the Hydra config.
+
+      '
+    hydra_help: ???
+  hydra_logging:
+    version: 1
+    root:
+      level: ERROR
+    disable_existing_loggers: true
+  job_logging:
+    version: 1
+    root:
+      level: ERROR
+    disable_existing_loggers: true
+  env: {}
+  mode: MULTIRUN
+  searchpath: []
+  callbacks: {}
+  output_subdir: .hydra
+  overrides:
+    hydra:
+    - hydra/job_logging=disabled
+    - hydra/hydra_logging=disabled
+    - hydra.sweep.dir=_benchmark/tmp8h7qih8k/commit\=1c68f2cafb4ca54562f74b66d1085b68dd6682f5
+    - hydra.run.dir=_benchmark/tmp8h7qih8k/commit\=1c68f2cafb4ca54562f74b66d1085b68dd6682f5/${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/tmp8h7qih8k/commit=1c68f2cafb4ca54562f74b66d1085b68dd6682f5/backend.cache_implementation=null,backend.model=google/gemma-2b,backend.torch_compile=False
+    choices:
+      backend: pytorch
+      launcher: process
+      scenario: inference
+      hydra/env: default
+      hydra/callbacks: null
+      hydra/job_logging: disabled
+      hydra/hydra_logging: disabled
+      hydra/hydra_help: default
+      hydra/help: default
+      hydra/sweeper: basic
+      hydra/launcher: basic
+      hydra/output: default
+  verbose: false

2024-06-28/commit=1c68f2cafb4ca54562f74b66d1085b68dd6682f5/backend.cache_implementation=null,backend.model=google/gemma-2b,backend.torch_compile=False/.hydra/overrides.yaml

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

2024-06-28/commit=1c68f2cafb4ca54562f74b66d1085b68dd6682f5/backend.cache_implementation=null,backend.model=google/gemma-2b,backend.torch_compile=False/benchmark.json

@@ -0,0 +1,443 @@
+{
+    "config": {
+        "name": "pytorch_generate",
+        "backend": {
+            "name": "pytorch",
+            "version": "2.3.0+cu121",
+            "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
+            "task": "text-generation",
+            "library": "transformers",
+            "model": "google/gemma-2b",
+            "processor": "google/gemma-2b",
+            "device": "cuda",
+            "device_ids": "0",
+            "seed": 42,
+            "inter_op_num_threads": null,
+            "intra_op_num_threads": null,
+            "model_kwargs": {},
+            "processor_kwargs": {},
+            "hub_kwargs": {},
+            "no_weights": true,
+            "device_map": null,
+            "torch_dtype": "float16",
+            "eval_mode": true,
+            "to_bettertransformer": false,
+            "low_cpu_mem_usage": null,
+            "attn_implementation": null,
+            "cache_implementation": null,
+            "autocast_enabled": false,
+            "autocast_dtype": null,
+            "torch_compile": false,
+            "torch_compile_target": "forward",
+            "torch_compile_config": {
+                "backend": "inductor",
+                "mode": "reduce-overhead",
+                "fullgraph": true
+            },
+            "quantization_scheme": null,
+            "quantization_config": {},
+            "deepspeed_inference": false,
+            "deepspeed_inference_config": {},
+            "peft_type": null,
+            "peft_config": {}
+        },
+        "scenario": {
+            "name": "inference",
+            "_target_": "optimum_benchmark.scenarios.inference.scenario.InferenceScenario",
+            "iterations": 2,
+            "duration": 0,
+            "warmup_runs": 10,
+            "input_shapes": {
+                "batch_size": 1,
+                "num_choices": 2,
+                "sequence_length": 7
+            },
+            "new_tokens": null,
+            "latency": true,
+            "memory": true,
+            "energy": false,
+            "forward_kwargs": {},
+            "generate_kwargs": {
+                "max_new_tokens": 128,
+                "min_new_tokens": 128,
+                "do_sample": false
+            },
+            "call_kwargs": {}
+        },
+        "launcher": {
+            "name": "process",
+            "_target_": "optimum_benchmark.launchers.process.launcher.ProcessLauncher",
+            "device_isolation": true,
+            "device_isolation_action": "warn",
+            "start_method": "spawn"
+        },
+        "environment": {
+            "cpu": " AMD EPYC 7R32",
+            "cpu_count": 16,
+            "cpu_ram_mb": 66697.293824,
+            "system": "Linux",
+            "machine": "x86_64",
+            "platform": "Linux-5.10.219-208.866.amzn2.x86_64-x86_64-with-glibc2.29",
+            "processor": "x86_64",
+            "python_version": "3.8.10",
+            "gpu": [
+                "NVIDIA A10G"
+            ],
+            "gpu_count": 1,
+            "gpu_vram_mb": 24146608128,
+            "optimum_benchmark_version": "0.2.1",
+            "optimum_benchmark_commit": null,
+            "transformers_version": "4.43.0.dev0",
+            "transformers_commit": "1c68f2cafb4ca54562f74b66d1085b68dd6682f5",
+            "accelerate_version": "0.32.0.dev0",
+            "accelerate_commit": null,
+            "diffusers_version": null,
+            "diffusers_commit": null,
+            "optimum_version": "1.21.0.dev0",
+            "optimum_commit": null,
+            "timm_version": "0.9.16",
+            "timm_commit": null,
+            "peft_version": "0.11.2.dev0",
+            "peft_commit": null
+        }
+    },
+    "report": {
+        "prefill": {
+            "memory": {
+                "unit": "MB",
+                "max_ram": 1715.175424,
+                "max_global_vram": 6793.199616,
+                "max_process_vram": 0.0,
+                "max_reserved": 6146.752512,
+                "max_allocated": 5034.576896
+            },
+            "latency": {
+                "unit": "s",
+                "count": 2,
+                "total": 0.03884182357788086,
+                "mean": 0.01942091178894043,
+                "stdev": 0.00025048065185546975,
+                "p50": 0.01942091178894043,
+                "p90": 0.019621296310424804,
+                "p95": 0.01964634437561035,
+                "p99": 0.019666382827758788,
+                "values": [
+                    0.0196713924407959,
+                    0.01917043113708496
+                ]
+            },
+            "throughput": {
+                "unit": "tokens/s",
+                "value": 360.43621824111625
+            },
+            "energy": null,
+            "efficiency": null
+        },
+        "decode": {
+            "memory": {
+                "unit": "MB",
+                "max_ram": 1715.269632,
+                "max_global_vram": 6795.296768,
+                "max_process_vram": 0.0,
+                "max_reserved": 6148.849664,
+                "max_allocated": 5034.577408
+            },
+            "latency": {
+                "unit": "s",
+                "count": 2,
+                "total": 4.763135009765625,
+                "mean": 2.3815675048828124,
+                "stdev": 0.00046032714843757816,
+                "p50": 2.3815675048828124,
+                "p90": 2.3819357666015626,
+                "p95": 2.381981799316406,
+                "p99": 2.382018625488281,
+                "values": [
+                    2.38202783203125,
+                    2.381107177734375
+                ]
+            },
+            "throughput": {
+                "unit": "tokens/s",
+                "value": 53.32622306091179
+            },
+            "energy": null,
+            "efficiency": null
+        },
+        "per_token": {
+            "memory": null,
+            "latency": {
+                "unit": "s",
+                "count": 253,
+                "total": 4.762549264907836,
+                "mean": 0.01882430539489264,
+                "stdev": 0.0012608016881619933,
+                "p50": 0.018589696884155273,
+                "p90": 0.01932881851196289,
+                "p95": 0.019445759582519533,
+                "p99": 0.020038164978027344,
+                "values": [
+                    0.02007756805419922,
+                    0.018504703521728515,
+                    0.018412544250488282,
+                    0.018348031997680665,
+                    0.01839411163330078,
+                    0.019125247955322267,
+                    0.01929113578796387,
+                    0.019290111541748048,
+                    0.01904742431640625,
+                    0.01922559928894043,
+                    0.01926246452331543,
+                    0.019184640884399414,
+                    0.019347455978393553,
+                    0.01923788833618164,
+                    0.018370559692382812,
+                    0.018391040802001952,
+                    0.018387968063354493,
+                    0.018367488861083983,
+                    0.018521087646484375,
+                    0.01846272087097168,
+                    0.01842483139038086,
+                    0.018687999725341797,
+                    0.01925529670715332,
+                    0.019171327590942384,
+                    0.019180543899536134,
+                    0.019111936569213867,
+                    0.01930342483520508,
+                    0.018354175567626953,
+                    0.01841049575805664,
+                    0.018415615081787108,
+                    0.018420736312866212,
+                    0.018447359085083007,
+                    0.01837772750854492,
+                    0.01907302474975586,
+                    0.01825484848022461,
+                    0.018437120437622072,
+                    0.018501632690429686,
+                    0.01846681594848633,
+                    0.018461696624755858,
+                    0.018343936920166014,
+                    0.01827123260498047,
+                    0.01882111930847168,
+                    0.018397184371948243,
+                    0.018880512237548826,
+                    0.019156991958618166,
+                    0.019979263305664064,
+                    0.019322879791259767,
+                    0.01845248031616211,
+                    0.018420736312866212,
+                    0.018379776000976563,
+                    0.018309120178222657,
+                    0.018471935272216796,
+                    0.018694143295288086,
+                    0.01862758445739746,
+                    0.01866854476928711,
+                    0.018542591094970702,
+                    0.01863577651977539,
+                    0.018610176086425782,
+                    0.018611200332641603,
+                    0.01864192008972168,
+                    0.018509824752807616,
+                    0.018597888946533202,
+                    0.018734079360961914,
+                    0.01925836753845215,
+                    0.019212287902832033,
+                    0.018556928634643553,
+                    0.018512895584106445,
+                    0.018507776260375978,
+                    0.018506752014160157,
+                    0.018588672637939452,
+                    0.018514944076538087,
+                    0.018547712326049806,
+                    0.018541568756103514,
+                    0.01855897521972656,
+                    0.01859174346923828,
+                    0.01863577651977539,
+                    0.01863270378112793,
+                    0.018585599899291993,
+                    0.018568191528320312,
+                    0.01926348876953125,
+                    0.019333120346069335,
+                    0.019329023361206055,
+                    0.0192491512298584,
+                    0.01925632095336914,
+                    0.018576383590698242,
+                    0.018553855895996094,
+                    0.018371583938598633,
+                    0.01866035270690918,
+                    0.0194334716796875,
+                    0.019401727676391603,
+                    0.01943244743347168,
+                    0.01878937530517578,
+                    0.018659328460693358,
+                    0.018686975479125977,
+                    0.01859174346923828,
+                    0.01857535934448242,
+                    0.018544639587402344,
+                    0.018597888946533202,
+                    0.0186296329498291,
+                    0.018592767715454102,
+                    0.018611200332641603,
+                    0.018544639587402344,
+                    0.018386943817138672,
+                    0.018372608184814454,
+                    0.0186060791015625,
+                    0.01863372802734375,
+                    0.01859071922302246,
+                    0.018603008270263673,
+                    0.01857535934448242,
+                    0.019378175735473634,
+                    0.019322879791259767,
+                    0.01940275192260742,
+                    0.01862860870361328,
+                    0.01866547203063965,
+                    0.01860095977783203,
+                    0.01850060844421387,
+                    0.018370559692382812,
+                    0.01836031913757324,
+                    0.018505727767944336,
+                    0.01905766487121582,
+                    0.019327999114990235,
+                    0.01863065528869629,
+                    0.01983180809020996,
+                    0.01864396858215332,
+                    0.018546688079833985,
+                    0.01859584045410156,
+                    0.03771084976196289,
+                    0.019277824401855468,
+                    0.01920614433288574,
+                    0.019594240188598632,
+                    0.019186687469482423,
+                    0.01923072052001953,
+                    0.0192225284576416,
+                    0.01845964813232422,
+                    0.01929523277282715,
+                    0.019212287902832033,
+                    0.019183616638183593,
+                    0.018334720611572267,
+                    0.018217983245849608,
+                    0.01850060844421387,
+                    0.01927065658569336,
+                    0.01923379135131836,
+                    0.019770368576049805,
+                    0.019192832946777344,
+                    0.01923891258239746,
+                    0.01841868782043457,
+                    0.018388992309570314,
+                    0.01839923286437988,
+                    0.018397184371948243,
+                    0.018367488861083983,
+                    0.018181119918823242,
+                    0.018851839065551757,
+                    0.01921331214904785,
+                    0.0184268798828125,
+                    0.018412544250488282,
+                    0.01841766357421875,
+                    0.01840947151184082,
+                    0.01886412811279297,
+                    0.01922764778137207,
+                    0.01844326400756836,
+                    0.01848320007324219,
+                    0.01841766357421875,
+                    0.01841663932800293,
+                    0.01839923286437988,
+                    0.01841868782043457,
+                    0.01840742492675781,
+                    0.01845452880859375,
+                    0.018420736312866212,
+                    0.01878937530517578,
+                    0.01822003173828125,
+                    0.018206720352172853,
+                    0.018190336227416993,
+                    0.01822822380065918,
+                    0.01821388816833496,
+                    0.01818623924255371,
+                    0.018231296539306642,
+                    0.018296831130981444,
+                    0.018525184631347655,
+                    0.018328575134277342,
+                    0.01838489532470703,
+                    0.018420736312866212,
+                    0.018395135879516602,
+                    0.018518016815185546,
+                    0.019311616897583008,
+                    0.020001792907714845,
+                    0.01927884864807129,
+                    0.018564096450805666,
+                    0.018767871856689454,
+                    0.01927577590942383,
+                    0.01856716728210449,
+                    0.018457599639892578,
+                    0.018527231216430663,
+                    0.019062784194946288,
+                    0.019386367797851564,
+                    0.01924812889099121,
+                    0.019317760467529296,
+                    0.019286016464233398,
+                    0.01860812759399414,
+                    0.01862451171875,
+                    0.018520063400268554,
+                    0.01849241638183594,
+                    0.018311168670654295,
+                    0.018333696365356447,
+                    0.018364416122436524,
+                    0.01847091293334961,
+                    0.018328575134277342,
+                    0.018618368148803712,
+                    0.018586624145507814,
+                    0.018565120697021483,
+                    0.018551807403564453,
+                    0.018534400939941405,
+                    0.018877439498901367,
+                    0.019314687728881837,
+                    0.019323904037475585,
+                    0.01937919998168945,
+                    0.018497535705566406,
+                    0.018494464874267577,
+                    0.018526208877563476,
+                    0.018588672637939452,
+                    0.018461696624755858,
+                    0.01946419143676758,
+                    0.0194334716796875,
+                    0.01868185615539551,
+                    0.01855897521972656,
+                    0.018571264266967775,
+                    0.018597888946533202,
+                    0.0186060791015625,
+                    0.018547712326049806,
+                    0.018589696884155273,
+                    0.0185743350982666,
+                    0.01846681594848633,
+                    0.01962495994567871,
+                    0.02048204803466797,
+                    0.019586048126220702,
+                    0.01946931266784668,
+                    0.0194652156829834,
+                    0.019347455978393553,
+                    0.01941094398498535,
+                    0.01865830421447754,
+                    0.01850060844421387,
+                    0.018564096450805666,
+                    0.01857535934448242,
+                    0.018523136138916017,
+                    0.018556928634643553,
+                    0.01859891128540039,
+                    0.01858252716064453,
+                    0.018626560211181642,
+                    0.018727935791015626,
+                    0.018754560470581053,
+                    0.018601984024047852,
+                    0.01862144088745117,
+                    0.018557952880859374,
+                    0.01864908790588379
+                ]
+            },
+            "throughput": {
+                "unit": "tokens/s",
+                "value": 53.12281005977078
+            },
+            "energy": null,
+            "efficiency": null
+        }
+    }
+}

2024-06-28/commit=1c68f2cafb4ca54562f74b66d1085b68dd6682f5/backend.cache_implementation=null,backend.model=google/gemma-2b,backend.torch_compile=False/benchmark_config.json

@@ -0,0 +1,102 @@
+{
+    "name": "pytorch_generate",
+    "backend": {
+        "name": "pytorch",
+        "version": "2.3.0+cu121",
+        "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
+        "task": "text-generation",
+        "library": "transformers",
+        "model": "google/gemma-2b",
+        "processor": "google/gemma-2b",
+        "device": "cuda",
+        "device_ids": "0",
+        "seed": 42,
+        "inter_op_num_threads": null,
+        "intra_op_num_threads": null,
+        "model_kwargs": {},
+        "processor_kwargs": {},
+        "hub_kwargs": {},
+        "no_weights": true,
+        "device_map": null,
+        "torch_dtype": "float16",
+        "eval_mode": true,
+        "to_bettertransformer": false,
+        "low_cpu_mem_usage": null,
+        "attn_implementation": null,
+        "cache_implementation": null,
+        "autocast_enabled": false,
+        "autocast_dtype": null,
+        "torch_compile": false,
+        "torch_compile_target": "forward",
+        "torch_compile_config": {
+            "backend": "inductor",
+            "mode": "reduce-overhead",
+            "fullgraph": true
+        },
+        "quantization_scheme": null,
+        "quantization_config": {},
+        "deepspeed_inference": false,
+        "deepspeed_inference_config": {},
+        "peft_type": null,
+        "peft_config": {}
+    },
+    "scenario": {
+        "name": "inference",
+        "_target_": "optimum_benchmark.scenarios.inference.scenario.InferenceScenario",
+        "iterations": 2,
+        "duration": 0,
+        "warmup_runs": 10,
+        "input_shapes": {
+            "batch_size": 1,
+            "num_choices": 2,
+            "sequence_length": 7
+        },
+        "new_tokens": null,
+        "latency": true,
+        "memory": true,
+        "energy": false,
+        "forward_kwargs": {},
+        "generate_kwargs": {
+            "max_new_tokens": 128,
+            "min_new_tokens": 128,
+            "do_sample": false
+        },
+        "call_kwargs": {}
+    },
+    "launcher": {
+        "name": "process",
+        "_target_": "optimum_benchmark.launchers.process.launcher.ProcessLauncher",
+        "device_isolation": true,
+        "device_isolation_action": "warn",
+        "start_method": "spawn"
+    },
+    "environment": {
+        "cpu": " AMD EPYC 7R32",
+        "cpu_count": 16,
+        "cpu_ram_mb": 66697.293824,
+        "system": "Linux",
+        "machine": "x86_64",
+        "platform": "Linux-5.10.219-208.866.amzn2.x86_64-x86_64-with-glibc2.29",
+        "processor": "x86_64",
+        "python_version": "3.8.10",
+        "gpu": [
+            "NVIDIA A10G"
+        ],
+        "gpu_count": 1,
+        "gpu_vram_mb": 24146608128,
+        "optimum_benchmark_version": "0.2.1",
+        "optimum_benchmark_commit": null,
+        "transformers_version": "4.43.0.dev0",
+        "transformers_commit": "1c68f2cafb4ca54562f74b66d1085b68dd6682f5",
+        "accelerate_version": "0.32.0.dev0",
+        "accelerate_commit": null,
+        "diffusers_version": null,
+        "diffusers_commit": null,
+        "optimum_version": "1.21.0.dev0",
+        "optimum_commit": null,
+        "timm_version": "0.9.16",
+        "timm_commit": null,
+        "peft_version": "0.11.2.dev0",
+        "peft_commit": null
+    }
+}

2024-06-28/commit=1c68f2cafb4ca54562f74b66d1085b68dd6682f5/backend.cache_implementation=null,backend.model=google/gemma-2b,backend.torch_compile=False/benchmark_report.json

@@ -0,0 +1,339 @@
+{
+    "prefill": {
+        "memory": {
+            "unit": "MB",
+            "max_ram": 1715.175424,
+            "max_global_vram": 6793.199616,
+            "max_process_vram": 0.0,
+            "max_reserved": 6146.752512,
+            "max_allocated": 5034.576896
+        },
+        "latency": {
+            "unit": "s",
+            "count": 2,
+            "total": 0.03884182357788086,
+            "mean": 0.01942091178894043,
+            "stdev": 0.00025048065185546975,
+            "p50": 0.01942091178894043,
+            "p90": 0.019621296310424804,
+            "p95": 0.01964634437561035,
+            "p99": 0.019666382827758788,
+            "values": [
+                0.0196713924407959,
+                0.01917043113708496
+            ]
+        },
+        "throughput": {
+            "unit": "tokens/s",
+            "value": 360.43621824111625
+        },
+        "energy": null,
+        "efficiency": null
+    },
+    "decode": {
+        "memory": {
+            "unit": "MB",
+            "max_ram": 1715.269632,
+            "max_global_vram": 6795.296768,
+            "max_process_vram": 0.0,
+            "max_reserved": 6148.849664,
+            "max_allocated": 5034.577408
+        },
+        "latency": {
+            "unit": "s",
+            "count": 2,
+            "total": 4.763135009765625,
+            "mean": 2.3815675048828124,
+            "stdev": 0.00046032714843757816,
+            "p50": 2.3815675048828124,
+            "p90": 2.3819357666015626,
+            "p95": 2.381981799316406,
+            "p99": 2.382018625488281,
+            "values": [
+                2.38202783203125,
+                2.381107177734375
+            ]
+        },
+        "throughput": {
+            "unit": "tokens/s",
+            "value": 53.32622306091179
+        },
+        "energy": null,
+        "efficiency": null
+    },
+    "per_token": {
+        "memory": null,
+        "latency": {
+            "unit": "s",
+            "count": 253,
+            "total": 4.762549264907836,
+            "mean": 0.01882430539489264,
+            "stdev": 0.0012608016881619933,
+            "p50": 0.018589696884155273,
+            "p90": 0.01932881851196289,
+            "p95": 0.019445759582519533,
+            "p99": 0.020038164978027344,
+            "values": [
+                0.02007756805419922,
+                0.018504703521728515,
+                0.018412544250488282,
+                0.018348031997680665,
+                0.01839411163330078,
+                0.019125247955322267,
+                0.01929113578796387,
+                0.019290111541748048,
+                0.01904742431640625,
+                0.01922559928894043,
+                0.01926246452331543,
+                0.019184640884399414,
+                0.019347455978393553,
+                0.01923788833618164,
+                0.018370559692382812,
+                0.018391040802001952,
+                0.018387968063354493,
+                0.018367488861083983,
+                0.018521087646484375,
+                0.01846272087097168,
+                0.01842483139038086,
+                0.018687999725341797,
+                0.01925529670715332,
+                0.019171327590942384,
+                0.019180543899536134,
+                0.019111936569213867,
+                0.01930342483520508,
+                0.018354175567626953,
+                0.01841049575805664,
+                0.018415615081787108,
+                0.018420736312866212,
+                0.018447359085083007,
+                0.01837772750854492,
+                0.01907302474975586,
+                0.01825484848022461,
+                0.018437120437622072,
+                0.018501632690429686,
+                0.01846681594848633,
+                0.018461696624755858,
+                0.018343936920166014,
+                0.01827123260498047,
+                0.01882111930847168,
+                0.018397184371948243,
+                0.018880512237548826,
+                0.019156991958618166,
+                0.019979263305664064,
+                0.019322879791259767,
+                0.01845248031616211,
+                0.018420736312866212,
+                0.018379776000976563,
+                0.018309120178222657,
+                0.018471935272216796,
+                0.018694143295288086,
+                0.01862758445739746,
+                0.01866854476928711,
+                0.018542591094970702,
+                0.01863577651977539,
+                0.018610176086425782,
+                0.018611200332641603,
+                0.01864192008972168,
+                0.018509824752807616,
+                0.018597888946533202,
+                0.018734079360961914,
+                0.01925836753845215,
+                0.019212287902832033,
+                0.018556928634643553,
+                0.018512895584106445,
+                0.018507776260375978,
+                0.018506752014160157,
+                0.018588672637939452,
+                0.018514944076538087,
+                0.018547712326049806,
+                0.018541568756103514,
+                0.01855897521972656,
+                0.01859174346923828,
+                0.01863577651977539,
+                0.01863270378112793,
+                0.018585599899291993,
+                0.018568191528320312,
+                0.01926348876953125,
+                0.019333120346069335,
+                0.019329023361206055,
+                0.0192491512298584,
+                0.01925632095336914,
+                0.018576383590698242,
+                0.018553855895996094,
+                0.018371583938598633,
+                0.01866035270690918,
+                0.0194334716796875,
+                0.019401727676391603,
+                0.01943244743347168,
+                0.01878937530517578,
+                0.018659328460693358,
+                0.018686975479125977,
+                0.01859174346923828,
+                0.01857535934448242,
+                0.018544639587402344,
+                0.018597888946533202,
+                0.0186296329498291,
+                0.018592767715454102,
+                0.018611200332641603,
+                0.018544639587402344,
+                0.018386943817138672,
+                0.018372608184814454,
+                0.0186060791015625,
+                0.01863372802734375,
+                0.01859071922302246,
+                0.018603008270263673,
+                0.01857535934448242,
+                0.019378175735473634,
+                0.019322879791259767,
+                0.01940275192260742,
+                0.01862860870361328,
+                0.01866547203063965,
+                0.01860095977783203,
+                0.01850060844421387,
+                0.018370559692382812,
+                0.01836031913757324,
+                0.018505727767944336,
+                0.01905766487121582,
+                0.019327999114990235,
+                0.01863065528869629,
+                0.01983180809020996,
+                0.01864396858215332,
+                0.018546688079833985,
+                0.01859584045410156,
+                0.03771084976196289,
+                0.019277824401855468,
+                0.01920614433288574,
+                0.019594240188598632,
+                0.019186687469482423,
+                0.01923072052001953,
+                0.0192225284576416,
+                0.01845964813232422,
+                0.01929523277282715,
+                0.019212287902832033,
+                0.019183616638183593,
+                0.018334720611572267,
+                0.018217983245849608,
+                0.01850060844421387,
+                0.01927065658569336,
+                0.01923379135131836,
+                0.019770368576049805,
+                0.019192832946777344,
+                0.01923891258239746,
+                0.01841868782043457,
+                0.018388992309570314,
+                0.01839923286437988,
+                0.018397184371948243,
+                0.018367488861083983,
+                0.018181119918823242,
+                0.018851839065551757,
+                0.01921331214904785,
+                0.0184268798828125,
+                0.018412544250488282,
+                0.01841766357421875,
+                0.01840947151184082,
+                0.01886412811279297,
+                0.01922764778137207,
+                0.01844326400756836,
+                0.01848320007324219,
+                0.01841766357421875,
+                0.01841663932800293,
+                0.01839923286437988,
+                0.01841868782043457,
+                0.01840742492675781,
+                0.01845452880859375,
+                0.018420736312866212,
+                0.01878937530517578,
+                0.01822003173828125,
+                0.018206720352172853,
+                0.018190336227416993,
+                0.01822822380065918,
+                0.01821388816833496,
+                0.01818623924255371,
+                0.018231296539306642,
+                0.018296831130981444,
+                0.018525184631347655,
+                0.018328575134277342,
+                0.01838489532470703,
+                0.018420736312866212,
+                0.018395135879516602,
+                0.018518016815185546,
+                0.019311616897583008,
+                0.020001792907714845,
+                0.01927884864807129,
+                0.018564096450805666,
+                0.018767871856689454,
+                0.01927577590942383,
+                0.01856716728210449,
+                0.018457599639892578,
+                0.018527231216430663,
+                0.019062784194946288,
+                0.019386367797851564,
+                0.01924812889099121,
+                0.019317760467529296,
+                0.019286016464233398,
+                0.01860812759399414,
+                0.01862451171875,
+                0.018520063400268554,
+                0.01849241638183594,
+                0.018311168670654295,
+                0.018333696365356447,
+                0.018364416122436524,
+                0.01847091293334961,
+                0.018328575134277342,
+                0.018618368148803712,
+                0.018586624145507814,
+                0.018565120697021483,
+                0.018551807403564453,
+                0.018534400939941405,
+                0.018877439498901367,
+                0.019314687728881837,
+                0.019323904037475585,
+                0.01937919998168945,
+                0.018497535705566406,
+                0.018494464874267577,
+                0.018526208877563476,
+                0.018588672637939452,
+                0.018461696624755858,
+                0.01946419143676758,
+                0.0194334716796875,
+                0.01868185615539551,
+                0.01855897521972656,
+                0.018571264266967775,
+                0.018597888946533202,
+                0.0186060791015625,
+                0.018547712326049806,
+                0.018589696884155273,
+                0.0185743350982666,
+                0.01846681594848633,
+                0.01962495994567871,
+                0.02048204803466797,
+                0.019586048126220702,
+                0.01946931266784668,
+                0.0194652156829834,
+                0.019347455978393553,
+                0.01941094398498535,
+                0.01865830421447754,
+                0.01850060844421387,
+                0.018564096450805666,
+                0.01857535934448242,
+                0.018523136138916017,
+                0.018556928634643553,
+                0.01859891128540039,
+                0.01858252716064453,
+                0.018626560211181642,
+                0.018727935791015626,
+                0.018754560470581053,
+                0.018601984024047852,
+                0.01862144088745117,
+                0.018557952880859374,
+                0.01864908790588379
+            ]
+        },
+        "throughput": {
+            "unit": "tokens/s",
+            "value": 53.12281005977078
+        },
+        "energy": null,
+        "efficiency": null
+    }
+}

2024-06-28/commit=1c68f2cafb4ca54562f74b66d1085b68dd6682f5/backend.cache_implementation=null,backend.model=google/gemma-2b,backend.torch_compile=False/summary.json

@@ -0,0 +1,13 @@
+{
+    "model": "google/gemma-2b",
+    "commit": "1c68f2cafb4ca54562f74b66d1085b68dd6682f5",
+    "config": "backend.cache_implementation=null,backend.torch_compile=False",
+    "metrics": {
+        "prefill.latency.mean": 0.01942091178894043,
+        "prefill.throughput.value": 360.43621824111625,
+        "decode.latency.mean": 2.3815675048828124,
+        "decode.throughput.value": 53.32622306091179,
+        "per_token.latency.mean": 0.01882430539489264,
+        "per_token.throughput.value": 53.12281005977078
+    }
+}

2024-06-28/commit=1c68f2cafb4ca54562f74b66d1085b68dd6682f5/backend.cache_implementation=null,backend.model=google/gemma-2b,backend.torch_compile=True/.hydra/config.yaml

@@ -0,0 +1,91 @@
+name: pytorch_generate
+backend:
+  name: pytorch
+  version: 2.3.0+cu121
+  _target_: optimum_benchmark.backends.pytorch.backend.PyTorchBackend
+  task: null
+  library: null
+  model: google/gemma-2b
+  processor: null
+  device: cuda
+  device_ids: '0'
+  seed: 42
+  inter_op_num_threads: null
+  intra_op_num_threads: null
+  model_kwargs: {}
+  processor_kwargs: {}
+  hub_kwargs: {}
+  no_weights: true
+  device_map: null
+  torch_dtype: float16
+  eval_mode: true
+  to_bettertransformer: false
+  low_cpu_mem_usage: null
+  attn_implementation: null
+  cache_implementation: null
+  autocast_enabled: false
+  autocast_dtype: null
+  torch_compile: true
+  torch_compile_target: forward
+  torch_compile_config:
+    backend: inductor
+    mode: reduce-overhead
+    fullgraph: true
+  quantization_scheme: null
+  quantization_config: {}
+  deepspeed_inference: false
+  deepspeed_inference_config: {}
+  peft_type: null
+  peft_config: {}
+scenario:
+  name: inference
+  _target_: optimum_benchmark.scenarios.inference.scenario.InferenceScenario
+  iterations: 2
+  duration: 0
+  warmup_runs: 10
+  input_shapes:
+    batch_size: 1
+    sequence_length: 7
+  new_tokens: null
+  latency: true
+  memory: true
+  energy: false
+  forward_kwargs: {}
+  generate_kwargs:
+    max_new_tokens: 128
+    min_new_tokens: 128
+    do_sample: false
+  call_kwargs: {}
+launcher:
+  name: process
+  _target_: optimum_benchmark.launchers.process.launcher.ProcessLauncher
+  device_isolation: true
+  device_isolation_action: warn
+  start_method: spawn
+environment:
+  cpu: ' AMD EPYC 7R32'
+  cpu_count: 16
+  cpu_ram_mb: 66697.293824
+  system: Linux
+  machine: x86_64
+  platform: Linux-5.10.219-208.866.amzn2.x86_64-x86_64-with-glibc2.29
+  processor: x86_64
+  python_version: 3.8.10
+  gpu:
+  - NVIDIA A10G
+  gpu_count: 1
+  gpu_vram_mb: 24146608128
+  optimum_benchmark_version: 0.2.1
+  optimum_benchmark_commit: null
+  transformers_version: 4.43.0.dev0
+  transformers_commit: 1c68f2cafb4ca54562f74b66d1085b68dd6682f5
+  accelerate_version: 0.32.0.dev0
+  accelerate_commit: null
+  diffusers_version: null
+  diffusers_commit: null
+  optimum_version: 1.21.0.dev0
+  optimum_commit: null
+  timm_version: 0.9.16
+  timm_commit: null
+  peft_version: 0.11.2.dev0
+  peft_commit: null

2024-06-28/commit=1c68f2cafb4ca54562f74b66d1085b68dd6682f5/backend.cache_implementation=null,backend.model=google/gemma-2b,backend.torch_compile=True/.hydra/hydra.yaml

@@ -0,0 +1,141 @@
+hydra:
+  run:
+    dir: _benchmark/tmp8h7qih8k/commit=1c68f2cafb4ca54562f74b66d1085b68dd6682f5/${hydra.job.override_dirname}
+  sweep:
+    dir: _benchmark/tmp8h7qih8k/commit=1c68f2cafb4ca54562f74b66d1085b68dd6682f5
+    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)
+
+
+      $HYDRA_CONFIG_GROUPS
+
+
+      Use ''--cfg hydra'' to Show the Hydra config.
+
+      '
+    hydra_help: ???
+  hydra_logging:
+    version: 1
+    root:
+      level: ERROR
+    disable_existing_loggers: true
+  job_logging:
+    version: 1
+    root:
+      level: ERROR
+    disable_existing_loggers: true
+  env: {}
+  mode: MULTIRUN
+  searchpath: []
+  callbacks: {}
+  output_subdir: .hydra
+  overrides:
+    hydra:
+    - hydra/job_logging=disabled
+    - hydra/hydra_logging=disabled
+    - hydra.sweep.dir=_benchmark/tmp8h7qih8k/commit\=1c68f2cafb4ca54562f74b66d1085b68dd6682f5
+    - hydra.run.dir=_benchmark/tmp8h7qih8k/commit\=1c68f2cafb4ca54562f74b66d1085b68dd6682f5/${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/tmp8h7qih8k/commit=1c68f2cafb4ca54562f74b66d1085b68dd6682f5/backend.cache_implementation=null,backend.model=google/gemma-2b,backend.torch_compile=True
+    choices:
+      backend: pytorch
+      launcher: process
+      scenario: inference
+      hydra/env: default
+      hydra/callbacks: null
+      hydra/job_logging: disabled
+      hydra/hydra_logging: disabled
+      hydra/hydra_help: default
+      hydra/help: default
+      hydra/sweeper: basic
+      hydra/launcher: basic
+      hydra/output: default
+  verbose: false

2024-06-28/commit=1c68f2cafb4ca54562f74b66d1085b68dd6682f5/backend.cache_implementation=null,backend.model=google/gemma-2b,backend.torch_compile=True/.hydra/overrides.yaml

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

2024-06-28/commit=1c68f2cafb4ca54562f74b66d1085b68dd6682f5/backend.cache_implementation=null,backend.model=google/gemma-2b,backend.torch_compile=True/benchmark.log

@@ -0,0 +1 @@
+[ISOLATED-PROCESS][2024-06-28 02:34:41,712][process][ERROR] - 	+ Sending traceback to main process

2024-06-28/commit=1c68f2cafb4ca54562f74b66d1085b68dd6682f5/backend.cache_implementation=null,backend.model=google/gemma-2b,backend.torch_compile=True/benchmark_config.json

@@ -0,0 +1,102 @@
+{
+    "name": "pytorch_generate",
+    "backend": {
+        "name": "pytorch",
+        "version": "2.3.0+cu121",
+        "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
+        "task": "text-generation",
+        "library": "transformers",
+        "model": "google/gemma-2b",
+        "processor": "google/gemma-2b",
+        "device": "cuda",
+        "device_ids": "0",
+        "seed": 42,
+        "inter_op_num_threads": null,
+        "intra_op_num_threads": null,
+        "model_kwargs": {},
+        "processor_kwargs": {},
+        "hub_kwargs": {},
+        "no_weights": true,
+        "device_map": null,
+        "torch_dtype": "float16",
+        "eval_mode": true,
+        "to_bettertransformer": false,
+        "low_cpu_mem_usage": null,
+        "attn_implementation": null,
+        "cache_implementation": null,
+        "autocast_enabled": false,
+        "autocast_dtype": null,
+        "torch_compile": true,
+        "torch_compile_target": "forward",
+        "torch_compile_config": {
+            "backend": "inductor",
+            "mode": "reduce-overhead",
+            "fullgraph": true
+        },
+        "quantization_scheme": null,
+        "quantization_config": {},
+        "deepspeed_inference": false,
+        "deepspeed_inference_config": {},
+        "peft_type": null,
+        "peft_config": {}
+    },
+    "scenario": {
+        "name": "inference",
+        "_target_": "optimum_benchmark.scenarios.inference.scenario.InferenceScenario",
+        "iterations": 2,
+        "duration": 0,
+        "warmup_runs": 10,
+        "input_shapes": {
+            "batch_size": 1,
+            "num_choices": 2,
+            "sequence_length": 7
+        },
+        "new_tokens": null,
+        "latency": true,
+        "memory": true,
+        "energy": false,
+        "forward_kwargs": {},
+        "generate_kwargs": {
+            "max_new_tokens": 128,
+            "min_new_tokens": 128,
+            "do_sample": false
+        },
+        "call_kwargs": {}
+    },
+    "launcher": {
+        "name": "process",
+        "_target_": "optimum_benchmark.launchers.process.launcher.ProcessLauncher",
+        "device_isolation": true,
+        "device_isolation_action": "warn",
+        "start_method": "spawn"
+    },
+    "environment": {
+        "cpu": " AMD EPYC 7R32",
+        "cpu_count": 16,
+        "cpu_ram_mb": 66697.293824,
+        "system": "Linux",
+        "machine": "x86_64",
+        "platform": "Linux-5.10.219-208.866.amzn2.x86_64-x86_64-with-glibc2.29",
+        "processor": "x86_64",
+        "python_version": "3.8.10",
+        "gpu": [
+            "NVIDIA A10G"
+        ],
+        "gpu_count": 1,
+        "gpu_vram_mb": 24146608128,
+        "optimum_benchmark_version": "0.2.1",
+        "optimum_benchmark_commit": null,
+        "transformers_version": "4.43.0.dev0",
+        "transformers_commit": "1c68f2cafb4ca54562f74b66d1085b68dd6682f5",
+        "accelerate_version": "0.32.0.dev0",
+        "accelerate_commit": null,
+        "diffusers_version": null,
+        "diffusers_commit": null,
+        "optimum_version": "1.21.0.dev0",
+        "optimum_commit": null,
+        "timm_version": "0.9.16",
+        "timm_commit": null,
+        "peft_version": "0.11.2.dev0",
+        "peft_commit": null
+    }
+}

2024-06-28/commit=1c68f2cafb4ca54562f74b66d1085b68dd6682f5/backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=False/.hydra/config.yaml

@@ -0,0 +1,91 @@
+name: pytorch_generate
+backend:
+  name: pytorch
+  version: 2.3.0+cu121
+  _target_: optimum_benchmark.backends.pytorch.backend.PyTorchBackend
+  task: null
+  library: null
+  model: google/gemma-2b
+  processor: null
+  device: cuda
+  device_ids: '0'
+  seed: 42
+  inter_op_num_threads: null
+  intra_op_num_threads: null
+  model_kwargs: {}
+  processor_kwargs: {}
+  hub_kwargs: {}
+  no_weights: true
+  device_map: null
+  torch_dtype: float16
+  eval_mode: true
+  to_bettertransformer: false
+  low_cpu_mem_usage: null
+  attn_implementation: null
+  cache_implementation: static
+  autocast_enabled: false
+  autocast_dtype: null
+  torch_compile: false
+  torch_compile_target: forward
+  torch_compile_config:
+    backend: inductor
+    mode: reduce-overhead
+    fullgraph: true
+  quantization_scheme: null
+  quantization_config: {}
+  deepspeed_inference: false
+  deepspeed_inference_config: {}
+  peft_type: null
+  peft_config: {}
+scenario:
+  name: inference
+  _target_: optimum_benchmark.scenarios.inference.scenario.InferenceScenario
+  iterations: 2
+  duration: 0
+  warmup_runs: 10
+  input_shapes:
+    batch_size: 1
+    sequence_length: 7
+  new_tokens: null
+  latency: true
+  memory: true
+  energy: false
+  forward_kwargs: {}
+  generate_kwargs:
+    max_new_tokens: 128
+    min_new_tokens: 128
+    do_sample: false
+  call_kwargs: {}
+launcher:
+  name: process
+  _target_: optimum_benchmark.launchers.process.launcher.ProcessLauncher
+  device_isolation: true
+  device_isolation_action: warn
+  start_method: spawn
+environment:
+  cpu: ' AMD EPYC 7R32'
+  cpu_count: 16
+  cpu_ram_mb: 66697.293824
+  system: Linux
+  machine: x86_64
+  platform: Linux-5.10.219-208.866.amzn2.x86_64-x86_64-with-glibc2.29
+  processor: x86_64
+  python_version: 3.8.10
+  gpu:
+  - NVIDIA A10G
+  gpu_count: 1
+  gpu_vram_mb: 24146608128
+  optimum_benchmark_version: 0.2.1
+  optimum_benchmark_commit: null
+  transformers_version: 4.43.0.dev0
+  transformers_commit: 1c68f2cafb4ca54562f74b66d1085b68dd6682f5
+  accelerate_version: 0.32.0.dev0
+  accelerate_commit: null
+  diffusers_version: null
+  diffusers_commit: null
+  optimum_version: 1.21.0.dev0
+  optimum_commit: null
+  timm_version: 0.9.16
+  timm_commit: null
+  peft_version: 0.11.2.dev0
+  peft_commit: null

2024-06-28/commit=1c68f2cafb4ca54562f74b66d1085b68dd6682f5/backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=False/.hydra/hydra.yaml

@@ -0,0 +1,141 @@
+hydra:
+  run:
+    dir: _benchmark/tmp8h7qih8k/commit=1c68f2cafb4ca54562f74b66d1085b68dd6682f5/${hydra.job.override_dirname}
+  sweep:
+    dir: _benchmark/tmp8h7qih8k/commit=1c68f2cafb4ca54562f74b66d1085b68dd6682f5
+    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)
+
+
+      $HYDRA_CONFIG_GROUPS
+
+
+      Use ''--cfg hydra'' to Show the Hydra config.
+
+      '
+    hydra_help: ???
+  hydra_logging:
+    version: 1
+    root:
+      level: ERROR
+    disable_existing_loggers: true
+  job_logging:
+    version: 1
+    root:
+      level: ERROR
+    disable_existing_loggers: true
+  env: {}
+  mode: MULTIRUN
+  searchpath: []
+  callbacks: {}
+  output_subdir: .hydra
+  overrides:
+    hydra:
+    - hydra/job_logging=disabled
+    - hydra/hydra_logging=disabled
+    - hydra.sweep.dir=_benchmark/tmp8h7qih8k/commit\=1c68f2cafb4ca54562f74b66d1085b68dd6682f5
+    - hydra.run.dir=_benchmark/tmp8h7qih8k/commit\=1c68f2cafb4ca54562f74b66d1085b68dd6682f5/${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/tmp8h7qih8k/commit=1c68f2cafb4ca54562f74b66d1085b68dd6682f5/backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=False
+    choices:
+      backend: pytorch
+      launcher: process
+      scenario: inference
+      hydra/env: default
+      hydra/callbacks: null
+      hydra/job_logging: disabled
+      hydra/hydra_logging: disabled
+      hydra/hydra_help: default
+      hydra/help: default
+      hydra/sweeper: basic
+      hydra/launcher: basic
+      hydra/output: default
+  verbose: false

2024-06-28/commit=1c68f2cafb4ca54562f74b66d1085b68dd6682f5/backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=False/.hydra/overrides.yaml

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

2024-06-28/commit=1c68f2cafb4ca54562f74b66d1085b68dd6682f5/backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=False/benchmark.json

@@ -0,0 +1,443 @@
+{
+    "config": {
+        "name": "pytorch_generate",
+        "backend": {
+            "name": "pytorch",
+            "version": "2.3.0+cu121",
+            "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
+            "task": "text-generation",
+            "library": "transformers",
+            "model": "google/gemma-2b",
+            "processor": "google/gemma-2b",
+            "device": "cuda",
+            "device_ids": "0",
+            "seed": 42,
+            "inter_op_num_threads": null,
+            "intra_op_num_threads": null,
+            "model_kwargs": {},
+            "processor_kwargs": {},
+            "hub_kwargs": {},
+            "no_weights": true,
+            "device_map": null,
+            "torch_dtype": "float16",
+            "eval_mode": true,
+            "to_bettertransformer": false,
+            "low_cpu_mem_usage": null,
+            "attn_implementation": null,
+            "cache_implementation": "static",
+            "autocast_enabled": false,
+            "autocast_dtype": null,
+            "torch_compile": false,
+            "torch_compile_target": "forward",
+            "torch_compile_config": {
+                "backend": "inductor",
+                "mode": "reduce-overhead",
+                "fullgraph": true
+            },
+            "quantization_scheme": null,
+            "quantization_config": {},
+            "deepspeed_inference": false,
+            "deepspeed_inference_config": {},
+            "peft_type": null,
+            "peft_config": {}
+        },
+        "scenario": {
+            "name": "inference",
+            "_target_": "optimum_benchmark.scenarios.inference.scenario.InferenceScenario",
+            "iterations": 2,
+            "duration": 0,
+            "warmup_runs": 10,
+            "input_shapes": {
+                "batch_size": 1,
+                "num_choices": 2,
+                "sequence_length": 7
+            },
+            "new_tokens": null,
+            "latency": true,
+            "memory": true,
+            "energy": false,
+            "forward_kwargs": {},
+            "generate_kwargs": {
+                "max_new_tokens": 128,
+                "min_new_tokens": 128,
+                "do_sample": false
+            },
+            "call_kwargs": {}
+        },
+        "launcher": {
+            "name": "process",
+            "_target_": "optimum_benchmark.launchers.process.launcher.ProcessLauncher",
+            "device_isolation": true,
+            "device_isolation_action": "warn",
+            "start_method": "spawn"
+        },
+        "environment": {
+            "cpu": " AMD EPYC 7R32",
+            "cpu_count": 16,
+            "cpu_ram_mb": 66697.293824,
+            "system": "Linux",
+            "machine": "x86_64",
+            "platform": "Linux-5.10.219-208.866.amzn2.x86_64-x86_64-with-glibc2.29",
+            "processor": "x86_64",
+            "python_version": "3.8.10",
+            "gpu": [
+                "NVIDIA A10G"
+            ],
+            "gpu_count": 1,
+            "gpu_vram_mb": 24146608128,
+            "optimum_benchmark_version": "0.2.1",
+            "optimum_benchmark_commit": null,
+            "transformers_version": "4.43.0.dev0",
+            "transformers_commit": "1c68f2cafb4ca54562f74b66d1085b68dd6682f5",
+            "accelerate_version": "0.32.0.dev0",
+            "accelerate_commit": null,
+            "diffusers_version": null,
+            "diffusers_commit": null,
+            "optimum_version": "1.21.0.dev0",
+            "optimum_commit": null,
+            "timm_version": "0.9.16",
+            "timm_commit": null,
+            "peft_version": "0.11.2.dev0",
+            "peft_commit": null
+        }
+    },
+    "report": {
+        "prefill": {
+            "memory": {
+                "unit": "MB",
+                "max_ram": 1762.226176,
+                "max_global_vram": 6793.199616,
+                "max_process_vram": 0.0,
+                "max_reserved": 6146.752512,
+                "max_allocated": 5036.936192
+            },
+            "latency": {
+                "unit": "s",
+                "count": 2,
+                "total": 0.04621903991699219,
+                "mean": 0.023109519958496094,
+                "stdev": 0.0003098716735839835,
+                "p50": 0.023109519958496094,
+                "p90": 0.02335741729736328,
+                "p95": 0.02338840446472168,
+                "p99": 0.0234131941986084,
+                "values": [
+                    0.02279964828491211,
+                    0.023419391632080077
+                ]
+            },
+            "throughput": {
+                "unit": "tokens/s",
+                "value": 302.9054698051608
+            },
+            "energy": null,
+            "efficiency": null
+        },
+        "decode": {
+            "memory": {
+                "unit": "MB",
+                "max_ram": 1762.238464,
+                "max_global_vram": 6793.199616,
+                "max_process_vram": 0.0,
+                "max_reserved": 6146.752512,
+                "max_allocated": 5036.936704
+            },
+            "latency": {
+                "unit": "s",
+                "count": 2,
+                "total": 5.279913330078125,
+                "mean": 2.6399566650390627,
+                "stdev": 0.011269409179687662,
+                "p50": 2.6399566650390627,
+                "p90": 2.6489721923828125,
+                "p95": 2.6500991333007815,
+                "p99": 2.6510006860351565,
+                "values": [
+                    2.65122607421875,
+                    2.628687255859375
+                ]
+            },
+            "throughput": {
+                "unit": "tokens/s",
+                "value": 48.10685026836258
+            },
+            "energy": null,
+            "efficiency": null
+        },
+        "per_token": {
+            "memory": null,
+            "latency": {
+                "unit": "s",
+                "count": 253,
+                "total": 5.28210941505432,
+                "mean": 0.020877902826301663,
+                "stdev": 0.0015655806670785356,
+                "p50": 0.0206059513092041,
+                "p90": 0.021411635589599607,
+                "p95": 0.021533900833129883,
+                "p99": 0.022309396286010738,
+                "values": [
+                    0.02241535949707031,
+                    0.022024192810058595,
+                    0.021295103073120117,
+                    0.021377023696899415,
+                    0.02123673629760742,
+                    0.021177343368530274,
+                    0.021130239486694336,
+                    0.020948991775512696,
+                    0.021089279174804687,
+                    0.021396480560302734,
+                    0.021407743453979493,
+                    0.02102579116821289,
+                    0.02131046485900879,
+                    0.021428224563598632,
+                    0.02142310333251953,
+                    0.021120000839233398,
+                    0.021146623611450196,
+                    0.021072895050048827,
+                    0.021209087371826172,
+                    0.021227519989013673,
+                    0.02099404716491699,
+                    0.02104319953918457,
+                    0.02106675148010254,
+                    0.020945920944213867,
+                    0.021142528533935546,
+                    0.021465087890625,
+                    0.021411840438842773,
+                    0.021227519989013673,
+                    0.02142207908630371,
+                    0.022525951385498046,
+                    0.020946943283081054,
+                    0.021782527923583983,
+                    0.021412864685058593,
+                    0.021133312225341795,
+                    0.02104319953918457,
+                    0.021015552520751952,
+                    0.02101043128967285,
+                    0.02104115104675293,
+                    0.02131865692138672,
+                    0.02086809539794922,
+                    0.02084864044189453,
+                    0.02085068893432617,
+                    0.02104217529296875,
+                    0.020996095657348633,
+                    0.02065203285217285,
+                    0.020526079177856444,
+                    0.020527103424072265,
+                    0.020501504898071288,
+                    0.020540416717529295,
+                    0.020521984100341797,
+                    0.020537343978881836,
+                    0.020544511795043945,
+                    0.020567039489746093,
+                    0.020726783752441406,
+                    0.020585472106933594,
+                    0.020558847427368163,
+                    0.020624383926391602,
+                    0.020540416717529295,
+                    0.020556800842285155,
+                    0.020520959854125977,
+                    0.020553728103637696,
+                    0.020509695053100584,
+                    0.020516864776611327,
+                    0.020611072540283205,
+                    0.02062745666503906,
+                    0.020572160720825194,
+                    0.020700159072875975,
+                    0.02063667106628418,
+                    0.020725759506225586,
+                    0.020668415069580077,
+                    0.02066431999206543,
+                    0.020634624481201173,
+                    0.020617216110229493,
+                    0.020599807739257812,
+                    0.02062233543395996,
+                    0.02063871955871582,
+                    0.02062950325012207,
+                    0.020590591430664062,
+                    0.020566015243530272,
+                    0.020990976333618162,
+                    0.021557247161865235,
+                    0.021551103591918946,
+                    0.022211584091186523,
+                    0.021493759155273438,
+                    0.0206059513092041,
+                    0.02063667106628418,
+                    0.020658176422119142,
+                    0.02066431999206543,
+                    0.02065920066833496,
+                    0.02063871955871582,
+                    0.020661247253417968,
+                    0.020723712921142577,
+                    0.02065203285217285,
+                    0.020789247512817383,
+                    0.02065203285217285,
+                    0.020569087982177735,
+                    0.020572160720825194,
+                    0.020552703857421875,
+                    0.020588544845581053,
+                    0.02057219123840332,
+                    0.020615135192871094,
+                    0.020582399368286132,
+                    0.020543487548828124,
+                    0.020556800842285155,
+                    0.020541439056396483,
+                    0.020547584533691408,
+                    0.02063052749633789,
+                    0.02067046356201172,
+                    0.020562944412231447,
+                    0.020567039489746093,
+                    0.020566015243530272,
+                    0.020550655364990233,
+                    0.02049126434326172,
+                    0.02060492706298828,
+                    0.02058956718444824,
+                    0.0206878719329834,
+                    0.020525056838989256,
+                    0.020580352783203124,
+                    0.020537343978881836,
+                    0.020536319732666015,
+                    0.020556800842285155,
+                    0.020531200408935548,
+                    0.020530176162719727,
+                    0.020562944412231447,
+                    0.021098495483398438,
+                    0.02146406364440918,
+                    0.04498329544067383,
+                    0.020495359420776366,
+                    0.020560895919799805,
+                    0.020511743545532226,
+                    0.021001216888427734,
+                    0.020551679611206054,
+                    0.020590591430664062,
+                    0.020555776596069338,
+                    0.020513792037963868,
+                    0.02064588737487793,
+                    0.02049228858947754,
+                    0.020478975296020507,
+                    0.020609024047851563,
+                    0.02058137512207031,
+                    0.020570112228393556,
+                    0.020554752349853517,
+                    0.02046668815612793,
+                    0.020557823181152343,
+                    0.020561920166015626,
+                    0.02058137512207031,
+                    0.020553728103637696,
+                    0.020518911361694335,
+                    0.02046976089477539,
+                    0.020509695053100584,
+                    0.02108723258972168,
+                    0.02182246398925781,
+                    0.021563392639160156,
+                    0.021522432327270507,
+                    0.021522432327270507,
+                    0.021400575637817384,
+                    0.021445632934570313,
+                    0.021410816192626952,
+                    0.02050662422180176,
+                    0.02049945640563965,
+                    0.020543487548828124,
+                    0.020541439056396483,
+                    0.020619264602661135,
+                    0.02043903923034668,
+                    0.02046156883239746,
+                    0.020454399108886717,
+                    0.020436992645263673,
+                    0.021112831115722656,
+                    0.020534271240234374,
+                    0.020495359420776366,
+                    0.021122047424316406,
+                    0.021402624130249022,
+                    0.021596160888671875,
+                    0.021412864685058593,
+                    0.021840896606445313,
+                    0.021410816192626952,
+                    0.020503551483154296,
+                    0.020478975296020507,
+                    0.020479999542236327,
+                    0.020529151916503906,
+                    0.020568063735961914,
+                    0.020526079177856444,
+                    0.02045849609375,
+                    0.020626432418823244,
+                    0.020496383666992187,
+                    0.02048307228088379,
+                    0.020529151916503906,
+                    0.0204902400970459,
+                    0.020599807739257812,
+                    0.020609024047851563,
+                    0.020575231552124023,
+                    0.02048102378845215,
+                    0.020489215850830078,
+                    0.02049945640563965,
+                    0.020502527236938475,
+                    0.020518911361694335,
+                    0.020502527236938475,
+                    0.020521984100341797,
+                    0.020526079177856444,
+                    0.02058137512207031,
+                    0.020602880477905275,
+                    0.020574207305908202,
+                    0.020578304290771485,
+                    0.020592639923095703,
+                    0.020641792297363282,
+                    0.020587520599365236,
+                    0.020556800842285155,
+                    0.020554752349853517,
+                    0.02065203285217285,
+                    0.020644863128662108,
+                    0.020703231811523438,
+                    0.020577280044555665,
+                    0.021497856140136717,
+                    0.020577280044555665,
+                    0.020703231811523438,
+                    0.02062950325012207,
+                    0.020575231552124023,
+                    0.02062848091125488,
+                    0.020554752349853517,
+                    0.02059878349304199,
+                    0.020752384185791017,
+                    0.021715967178344727,
+                    0.020626432418823244,
+                    0.020538368225097657,
+                    0.020552703857421875,
+                    0.02058956718444824,
+                    0.02079539108276367,
+                    0.020797439575195312,
+                    0.020558847427368163,
+                    0.020658176422119142,
+                    0.02058956718444824,
+                    0.020601856231689454,
+                    0.020616191864013672,
+                    0.02045747184753418,
+                    0.02045644760131836,
+                    0.020496383666992187,
+                    0.020595712661743162,
+                    0.020669439315795898,
+                    0.020710399627685547,
+                    0.02065510368347168,
+                    0.02063667106628418,
+                    0.02058137512207031,
+                    0.020595712661743162,
+                    0.020620288848876952,
+                    0.020586496353149415,
+                    0.020661247253417968,
+                    0.02063155174255371,
+                    0.020620288848876952,
+                    0.02082099151611328,
+                    0.020564992904663085,
+                    0.020552703857421875,
+                    0.020536319732666015,
+                    0.020571136474609376
+                ]
+            },
+            "throughput": {
+                "unit": "tokens/s",
+                "value": 47.897531103565406
+            },
+            "energy": null,
+            "efficiency": null
+        }
+    }
+}

2024-06-28/commit=1c68f2cafb4ca54562f74b66d1085b68dd6682f5/backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=False/benchmark_config.json

@@ -0,0 +1,102 @@
+{
+    "name": "pytorch_generate",
+    "backend": {
+        "name": "pytorch",
+        "version": "2.3.0+cu121",
+        "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
+        "task": "text-generation",
+        "library": "transformers",
+        "model": "google/gemma-2b",
+        "processor": "google/gemma-2b",
+        "device": "cuda",
+        "device_ids": "0",
+        "seed": 42,
+        "inter_op_num_threads": null,
+        "intra_op_num_threads": null,
+        "model_kwargs": {},
+        "processor_kwargs": {},
+        "hub_kwargs": {},
+        "no_weights": true,
+        "device_map": null,
+        "torch_dtype": "float16",
+        "eval_mode": true,
+        "to_bettertransformer": false,
+        "low_cpu_mem_usage": null,
+        "attn_implementation": null,
+        "cache_implementation": "static",
+        "autocast_enabled": false,
+        "autocast_dtype": null,
+        "torch_compile": false,
+        "torch_compile_target": "forward",
+        "torch_compile_config": {
+            "backend": "inductor",
+            "mode": "reduce-overhead",
+            "fullgraph": true
+        },
+        "quantization_scheme": null,
+        "quantization_config": {},
+        "deepspeed_inference": false,
+        "deepspeed_inference_config": {},
+        "peft_type": null,
+        "peft_config": {}
+    },
+    "scenario": {
+        "name": "inference",
+        "_target_": "optimum_benchmark.scenarios.inference.scenario.InferenceScenario",
+        "iterations": 2,
+        "duration": 0,
+        "warmup_runs": 10,
+        "input_shapes": {
+            "batch_size": 1,
+            "num_choices": 2,
+            "sequence_length": 7
+        },
+        "new_tokens": null,
+        "latency": true,
+        "memory": true,
+        "energy": false,
+        "forward_kwargs": {},
+        "generate_kwargs": {
+            "max_new_tokens": 128,
+            "min_new_tokens": 128,
+            "do_sample": false
+        },
+        "call_kwargs": {}
+    },
+    "launcher": {
+        "name": "process",
+        "_target_": "optimum_benchmark.launchers.process.launcher.ProcessLauncher",
+        "device_isolation": true,
+        "device_isolation_action": "warn",
+        "start_method": "spawn"
+    },
+    "environment": {
+        "cpu": " AMD EPYC 7R32",
+        "cpu_count": 16,
+        "cpu_ram_mb": 66697.293824,
+        "system": "Linux",
+        "machine": "x86_64",
+        "platform": "Linux-5.10.219-208.866.amzn2.x86_64-x86_64-with-glibc2.29",
+        "processor": "x86_64",
+        "python_version": "3.8.10",
+        "gpu": [
+            "NVIDIA A10G"
+        ],
+        "gpu_count": 1,
+        "gpu_vram_mb": 24146608128,
+        "optimum_benchmark_version": "0.2.1",
+        "optimum_benchmark_commit": null,
+        "transformers_version": "4.43.0.dev0",
+        "transformers_commit": "1c68f2cafb4ca54562f74b66d1085b68dd6682f5",
+        "accelerate_version": "0.32.0.dev0",
+        "accelerate_commit": null,
+        "diffusers_version": null,
+        "diffusers_commit": null,
+        "optimum_version": "1.21.0.dev0",
+        "optimum_commit": null,
+        "timm_version": "0.9.16",
+        "timm_commit": null,
+        "peft_version": "0.11.2.dev0",
+        "peft_commit": null
+    }
+}

2024-06-28/commit=1c68f2cafb4ca54562f74b66d1085b68dd6682f5/backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=False/benchmark_report.json

@@ -0,0 +1,339 @@
+{
+    "prefill": {
+        "memory": {
+            "unit": "MB",
+            "max_ram": 1762.226176,
+            "max_global_vram": 6793.199616,
+            "max_process_vram": 0.0,
+            "max_reserved": 6146.752512,
+            "max_allocated": 5036.936192
+        },
+        "latency": {
+            "unit": "s",
+            "count": 2,
+            "total": 0.04621903991699219,
+            "mean": 0.023109519958496094,
+            "stdev": 0.0003098716735839835,
+            "p50": 0.023109519958496094,
+            "p90": 0.02335741729736328,
+            "p95": 0.02338840446472168,
+            "p99": 0.0234131941986084,
+            "values": [
+                0.02279964828491211,
+                0.023419391632080077
+            ]
+        },
+        "throughput": {
+            "unit": "tokens/s",
+            "value": 302.9054698051608
+        },
+        "energy": null,
+        "efficiency": null
+    },
+    "decode": {
+        "memory": {
+            "unit": "MB",
+            "max_ram": 1762.238464,
+            "max_global_vram": 6793.199616,
+            "max_process_vram": 0.0,
+            "max_reserved": 6146.752512,
+            "max_allocated": 5036.936704
+        },
+        "latency": {
+            "unit": "s",
+            "count": 2,
+            "total": 5.279913330078125,
+            "mean": 2.6399566650390627,
+            "stdev": 0.011269409179687662,
+            "p50": 2.6399566650390627,
+            "p90": 2.6489721923828125,
+            "p95": 2.6500991333007815,
+            "p99": 2.6510006860351565,
+            "values": [
+                2.65122607421875,
+                2.628687255859375
+            ]
+        },
+        "throughput": {
+            "unit": "tokens/s",
+            "value": 48.10685026836258
+        },
+        "energy": null,
+        "efficiency": null
+    },
+    "per_token": {
+        "memory": null,
+        "latency": {
+            "unit": "s",
+            "count": 253,
+            "total": 5.28210941505432,
+            "mean": 0.020877902826301663,
+            "stdev": 0.0015655806670785356,
+            "p50": 0.0206059513092041,
+            "p90": 0.021411635589599607,
+            "p95": 0.021533900833129883,
+            "p99": 0.022309396286010738,
+            "values": [
+                0.02241535949707031,
+                0.022024192810058595,
+                0.021295103073120117,
+                0.021377023696899415,
+                0.02123673629760742,
+                0.021177343368530274,
+                0.021130239486694336,
+                0.020948991775512696,
+                0.021089279174804687,
+                0.021396480560302734,
+                0.021407743453979493,
+                0.02102579116821289,
+                0.02131046485900879,
+                0.021428224563598632,
+                0.02142310333251953,
+                0.021120000839233398,
+                0.021146623611450196,
+                0.021072895050048827,
+                0.021209087371826172,
+                0.021227519989013673,
+                0.02099404716491699,
+                0.02104319953918457,
+                0.02106675148010254,
+                0.020945920944213867,
+                0.021142528533935546,
+                0.021465087890625,
+                0.021411840438842773,
+                0.021227519989013673,
+                0.02142207908630371,
+                0.022525951385498046,
+                0.020946943283081054,
+                0.021782527923583983,
+                0.021412864685058593,
+                0.021133312225341795,
+                0.02104319953918457,
+                0.021015552520751952,
+                0.02101043128967285,
+                0.02104115104675293,
+                0.02131865692138672,
+                0.02086809539794922,
+                0.02084864044189453,
+                0.02085068893432617,
+                0.02104217529296875,
+                0.020996095657348633,
+                0.02065203285217285,
+                0.020526079177856444,
+                0.020527103424072265,
+                0.020501504898071288,
+                0.020540416717529295,
+                0.020521984100341797,
+                0.020537343978881836,
+                0.020544511795043945,
+                0.020567039489746093,
+                0.020726783752441406,
+                0.020585472106933594,
+                0.020558847427368163,
+                0.020624383926391602,
+                0.020540416717529295,
+                0.020556800842285155,
+                0.020520959854125977,
+                0.020553728103637696,
+                0.020509695053100584,
+                0.020516864776611327,
+                0.020611072540283205,
+                0.02062745666503906,
+                0.020572160720825194,
+                0.020700159072875975,
+                0.02063667106628418,
+                0.020725759506225586,
+                0.020668415069580077,
+                0.02066431999206543,
+                0.020634624481201173,
+                0.020617216110229493,
+                0.020599807739257812,
+                0.02062233543395996,
+                0.02063871955871582,
+                0.02062950325012207,
+                0.020590591430664062,
+                0.020566015243530272,
+                0.020990976333618162,
+                0.021557247161865235,
+                0.021551103591918946,
+                0.022211584091186523,
+                0.021493759155273438,
+                0.0206059513092041,
+                0.02063667106628418,
+                0.020658176422119142,
+                0.02066431999206543,
+                0.02065920066833496,
+                0.02063871955871582,
+                0.020661247253417968,
+                0.020723712921142577,
+                0.02065203285217285,
+                0.020789247512817383,
+                0.02065203285217285,
+                0.020569087982177735,
+                0.020572160720825194,
+                0.020552703857421875,
+                0.020588544845581053,
+                0.02057219123840332,
+                0.020615135192871094,
+                0.020582399368286132,
+                0.020543487548828124,
+                0.020556800842285155,
+                0.020541439056396483,
+                0.020547584533691408,
+                0.02063052749633789,
+                0.02067046356201172,
+                0.020562944412231447,
+                0.020567039489746093,
+                0.020566015243530272,
+                0.020550655364990233,
+                0.02049126434326172,
+                0.02060492706298828,
+                0.02058956718444824,
+                0.0206878719329834,
+                0.020525056838989256,
+                0.020580352783203124,
+                0.020537343978881836,
+                0.020536319732666015,
+                0.020556800842285155,
+                0.020531200408935548,
+                0.020530176162719727,
+                0.020562944412231447,
+                0.021098495483398438,
+                0.02146406364440918,
+                0.04498329544067383,
+                0.020495359420776366,
+                0.020560895919799805,
+                0.020511743545532226,
+                0.021001216888427734,
+                0.020551679611206054,
+                0.020590591430664062,
+                0.020555776596069338,
+                0.020513792037963868,
+                0.02064588737487793,
+                0.02049228858947754,
+                0.020478975296020507,
+                0.020609024047851563,
+                0.02058137512207031,
+                0.020570112228393556,
+                0.020554752349853517,
+                0.02046668815612793,
+                0.020557823181152343,
+                0.020561920166015626,
+                0.02058137512207031,
+                0.020553728103637696,
+                0.020518911361694335,
+                0.02046976089477539,
+                0.020509695053100584,
+                0.02108723258972168,
+                0.02182246398925781,
+                0.021563392639160156,
+                0.021522432327270507,
+                0.021522432327270507,
+                0.021400575637817384,
+                0.021445632934570313,
+                0.021410816192626952,
+                0.02050662422180176,
+                0.02049945640563965,
+                0.020543487548828124,
+                0.020541439056396483,
+                0.020619264602661135,
+                0.02043903923034668,
+                0.02046156883239746,
+                0.020454399108886717,
+                0.020436992645263673,
+                0.021112831115722656,
+                0.020534271240234374,
+                0.020495359420776366,
+                0.021122047424316406,
+                0.021402624130249022,
+                0.021596160888671875,
+                0.021412864685058593,
+                0.021840896606445313,
+                0.021410816192626952,
+                0.020503551483154296,
+                0.020478975296020507,
+                0.020479999542236327,
+                0.020529151916503906,
+                0.020568063735961914,
+                0.020526079177856444,
+                0.02045849609375,
+                0.020626432418823244,
+                0.020496383666992187,
+                0.02048307228088379,
+                0.020529151916503906,
+                0.0204902400970459,
+                0.020599807739257812,
+                0.020609024047851563,
+                0.020575231552124023,
+                0.02048102378845215,
+                0.020489215850830078,
+                0.02049945640563965,
+                0.020502527236938475,
+                0.020518911361694335,
+                0.020502527236938475,
+                0.020521984100341797,
+                0.020526079177856444,
+                0.02058137512207031,
+                0.020602880477905275,
+                0.020574207305908202,
+                0.020578304290771485,
+                0.020592639923095703,
+                0.020641792297363282,
+                0.020587520599365236,
+                0.020556800842285155,
+                0.020554752349853517,
+                0.02065203285217285,
+                0.020644863128662108,
+                0.020703231811523438,
+                0.020577280044555665,
+                0.021497856140136717,
+                0.020577280044555665,
+                0.020703231811523438,
+                0.02062950325012207,
+                0.020575231552124023,
+                0.02062848091125488,
+                0.020554752349853517,
+                0.02059878349304199,
+                0.020752384185791017,
+                0.021715967178344727,
+                0.020626432418823244,
+                0.020538368225097657,
+                0.020552703857421875,
+                0.02058956718444824,
+                0.02079539108276367,
+                0.020797439575195312,
+                0.020558847427368163,
+                0.020658176422119142,
+                0.02058956718444824,
+                0.020601856231689454,
+                0.020616191864013672,
+                0.02045747184753418,
+                0.02045644760131836,
+                0.020496383666992187,
+                0.020595712661743162,
+                0.020669439315795898,
+                0.020710399627685547,
+                0.02065510368347168,
+                0.02063667106628418,
+                0.02058137512207031,
+                0.020595712661743162,
+                0.020620288848876952,
+                0.020586496353149415,
+                0.020661247253417968,
+                0.02063155174255371,
+                0.020620288848876952,
+                0.02082099151611328,
+                0.020564992904663085,
+                0.020552703857421875,
+                0.020536319732666015,
+                0.020571136474609376
+            ]
+        },
+        "throughput": {
+            "unit": "tokens/s",
+            "value": 47.897531103565406
+        },
+        "energy": null,
+        "efficiency": null
+    }
+}

2024-06-28/commit=1c68f2cafb4ca54562f74b66d1085b68dd6682f5/backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=False/summary.json

@@ -0,0 +1,13 @@
+{
+    "model": "google/gemma-2b",
+    "commit": "1c68f2cafb4ca54562f74b66d1085b68dd6682f5",
+    "config": "backend.cache_implementation=static,backend.torch_compile=False",
+    "metrics": {
+        "prefill.latency.mean": 0.023109519958496094,
+        "prefill.throughput.value": 302.9054698051608,
+        "decode.latency.mean": 2.6399566650390627,
+        "decode.throughput.value": 48.10685026836258,
+        "per_token.latency.mean": 0.020877902826301663,
+        "per_token.throughput.value": 47.897531103565406
+    }
+}

2024-06-28/commit=1c68f2cafb4ca54562f74b66d1085b68dd6682f5/backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=True/.hydra/config.yaml

@@ -0,0 +1,91 @@
+name: pytorch_generate
+backend:
+  name: pytorch
+  version: 2.3.0+cu121
+  _target_: optimum_benchmark.backends.pytorch.backend.PyTorchBackend
+  task: null
+  library: null
+  model: google/gemma-2b
+  processor: null
+  device: cuda
+  device_ids: '0'
+  seed: 42
+  inter_op_num_threads: null
+  intra_op_num_threads: null
+  model_kwargs: {}
+  processor_kwargs: {}
+  hub_kwargs: {}
+  no_weights: true
+  device_map: null
+  torch_dtype: float16
+  eval_mode: true
+  to_bettertransformer: false
+  low_cpu_mem_usage: null
+  attn_implementation: null
+  cache_implementation: static
+  autocast_enabled: false
+  autocast_dtype: null
+  torch_compile: true
+  torch_compile_target: forward
+  torch_compile_config:
+    backend: inductor
+    mode: reduce-overhead
+    fullgraph: true
+  quantization_scheme: null
+  quantization_config: {}
+  deepspeed_inference: false
+  deepspeed_inference_config: {}
+  peft_type: null
+  peft_config: {}
+scenario:
+  name: inference
+  _target_: optimum_benchmark.scenarios.inference.scenario.InferenceScenario
+  iterations: 2
+  duration: 0
+  warmup_runs: 10
+  input_shapes:
+    batch_size: 1
+    sequence_length: 7
+  new_tokens: null
+  latency: true
+  memory: true
+  energy: false
+  forward_kwargs: {}
+  generate_kwargs:
+    max_new_tokens: 128
+    min_new_tokens: 128
+    do_sample: false
+  call_kwargs: {}
+launcher:
+  name: process
+  _target_: optimum_benchmark.launchers.process.launcher.ProcessLauncher
+  device_isolation: true
+  device_isolation_action: warn
+  start_method: spawn
+environment:
+  cpu: ' AMD EPYC 7R32'
+  cpu_count: 16
+  cpu_ram_mb: 66697.293824
+  system: Linux
+  machine: x86_64
+  platform: Linux-5.10.219-208.866.amzn2.x86_64-x86_64-with-glibc2.29
+  processor: x86_64
+  python_version: 3.8.10
+  gpu:
+  - NVIDIA A10G
+  gpu_count: 1
+  gpu_vram_mb: 24146608128
+  optimum_benchmark_version: 0.2.1
+  optimum_benchmark_commit: null
+  transformers_version: 4.43.0.dev0
+  transformers_commit: 1c68f2cafb4ca54562f74b66d1085b68dd6682f5
+  accelerate_version: 0.32.0.dev0
+  accelerate_commit: null
+  diffusers_version: null
+  diffusers_commit: null
+  optimum_version: 1.21.0.dev0
+  optimum_commit: null
+  timm_version: 0.9.16
+  timm_commit: null
+  peft_version: 0.11.2.dev0
+  peft_commit: null

2024-06-28/commit=1c68f2cafb4ca54562f74b66d1085b68dd6682f5/backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=True/.hydra/hydra.yaml

@@ -0,0 +1,141 @@
+hydra:
+  run:
+    dir: _benchmark/tmp8h7qih8k/commit=1c68f2cafb4ca54562f74b66d1085b68dd6682f5/${hydra.job.override_dirname}
+  sweep:
+    dir: _benchmark/tmp8h7qih8k/commit=1c68f2cafb4ca54562f74b66d1085b68dd6682f5
+    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)
+
+
+      $HYDRA_CONFIG_GROUPS
+
+
+      Use ''--cfg hydra'' to Show the Hydra config.
+
+      '
+    hydra_help: ???
+  hydra_logging:
+    version: 1
+    root:
+      level: ERROR
+    disable_existing_loggers: true
+  job_logging:
+    version: 1
+    root:
+      level: ERROR
+    disable_existing_loggers: true
+  env: {}
+  mode: MULTIRUN
+  searchpath: []
+  callbacks: {}
+  output_subdir: .hydra
+  overrides:
+    hydra:
+    - hydra/job_logging=disabled
+    - hydra/hydra_logging=disabled
+    - hydra.sweep.dir=_benchmark/tmp8h7qih8k/commit\=1c68f2cafb4ca54562f74b66d1085b68dd6682f5
+    - hydra.run.dir=_benchmark/tmp8h7qih8k/commit\=1c68f2cafb4ca54562f74b66d1085b68dd6682f5/${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/tmp8h7qih8k/commit=1c68f2cafb4ca54562f74b66d1085b68dd6682f5/backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=True
+    choices:
+      backend: pytorch
+      launcher: process
+      scenario: inference
+      hydra/env: default
+      hydra/callbacks: null
+      hydra/job_logging: disabled
+      hydra/hydra_logging: disabled
+      hydra/hydra_help: default
+      hydra/help: default
+      hydra/sweeper: basic
+      hydra/launcher: basic
+      hydra/output: default
+  verbose: false

2024-06-28/commit=1c68f2cafb4ca54562f74b66d1085b68dd6682f5/backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=True/.hydra/overrides.yaml

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

2024-06-28/commit=1c68f2cafb4ca54562f74b66d1085b68dd6682f5/backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=True/benchmark.json

@@ -0,0 +1,443 @@
+{
+    "config": {
+        "name": "pytorch_generate",
+        "backend": {
+            "name": "pytorch",
+            "version": "2.3.0+cu121",
+            "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
+            "task": "text-generation",
+            "library": "transformers",
+            "model": "google/gemma-2b",
+            "processor": "google/gemma-2b",
+            "device": "cuda",
+            "device_ids": "0",
+            "seed": 42,
+            "inter_op_num_threads": null,
+            "intra_op_num_threads": null,
+            "model_kwargs": {},
+            "processor_kwargs": {},
+            "hub_kwargs": {},
+            "no_weights": true,
+            "device_map": null,
+            "torch_dtype": "float16",
+            "eval_mode": true,
+            "to_bettertransformer": false,
+            "low_cpu_mem_usage": null,
+            "attn_implementation": null,
+            "cache_implementation": "static",
+            "autocast_enabled": false,
+            "autocast_dtype": null,
+            "torch_compile": true,
+            "torch_compile_target": "forward",
+            "torch_compile_config": {
+                "backend": "inductor",
+                "mode": "reduce-overhead",
+                "fullgraph": true
+            },
+            "quantization_scheme": null,
+            "quantization_config": {},
+            "deepspeed_inference": false,
+            "deepspeed_inference_config": {},
+            "peft_type": null,
+            "peft_config": {}
+        },
+        "scenario": {
+            "name": "inference",
+            "_target_": "optimum_benchmark.scenarios.inference.scenario.InferenceScenario",
+            "iterations": 2,
+            "duration": 0,
+            "warmup_runs": 10,
+            "input_shapes": {
+                "batch_size": 1,
+                "num_choices": 2,
+                "sequence_length": 7
+            },
+            "new_tokens": null,
+            "latency": true,
+            "memory": true,
+            "energy": false,
+            "forward_kwargs": {},
+            "generate_kwargs": {
+                "max_new_tokens": 128,
+                "min_new_tokens": 128,
+                "do_sample": false
+            },
+            "call_kwargs": {}
+        },
+        "launcher": {
+            "name": "process",
+            "_target_": "optimum_benchmark.launchers.process.launcher.ProcessLauncher",
+            "device_isolation": true,
+            "device_isolation_action": "warn",
+            "start_method": "spawn"
+        },
+        "environment": {
+            "cpu": " AMD EPYC 7R32",
+            "cpu_count": 16,
+            "cpu_ram_mb": 66697.293824,
+            "system": "Linux",
+            "machine": "x86_64",
+            "platform": "Linux-5.10.219-208.866.amzn2.x86_64-x86_64-with-glibc2.29",
+            "processor": "x86_64",
+            "python_version": "3.8.10",
+            "gpu": [
+                "NVIDIA A10G"
+            ],
+            "gpu_count": 1,
+            "gpu_vram_mb": 24146608128,
+            "optimum_benchmark_version": "0.2.1",
+            "optimum_benchmark_commit": null,
+            "transformers_version": "4.43.0.dev0",
+            "transformers_commit": "1c68f2cafb4ca54562f74b66d1085b68dd6682f5",
+            "accelerate_version": "0.32.0.dev0",
+            "accelerate_commit": null,
+            "diffusers_version": null,
+            "diffusers_commit": null,
+            "optimum_version": "1.21.0.dev0",
+            "optimum_commit": null,
+            "timm_version": "0.9.16",
+            "timm_commit": null,
+            "peft_version": "0.11.2.dev0",
+            "peft_commit": null
+        }
+    },
+    "report": {
+        "prefill": {
+            "memory": {
+                "unit": "MB",
+                "max_ram": 1928.159232,
+                "max_global_vram": 6094.848,
+                "max_process_vram": 0.0,
+                "max_reserved": 5379.19488,
+                "max_allocated": 5021.251584
+            },
+            "latency": {
+                "unit": "s",
+                "count": 2,
+                "total": 0.028283679962158206,
+                "mean": 0.014141839981079103,
+                "stdev": 0.00012878417968749997,
+                "p50": 0.014141839981079103,
+                "p90": 0.014244867324829102,
+                "p95": 0.014257745742797851,
+                "p99": 0.014268048477172852,
+                "values": [
+                    0.014270624160766602,
+                    0.014013055801391602
+                ]
+            },
+            "throughput": {
+                "unit": "tokens/s",
+                "value": 494.98509453971775
+            },
+            "energy": null,
+            "efficiency": null
+        },
+        "decode": {
+            "memory": {
+                "unit": "MB",
+                "max_ram": 2272.0512,
+                "max_global_vram": 8907.128832,
+                "max_process_vram": 0.0,
+                "max_reserved": 5379.19488,
+                "max_allocated": 5027.089408
+            },
+            "latency": {
+                "unit": "s",
+                "count": 2,
+                "total": 3.152967895507812,
+                "mean": 1.576483947753906,
+                "stdev": 0.01732476806640626,
+                "p50": 1.576483947753906,
+                "p90": 1.5903437622070313,
+                "p95": 1.5920762390136718,
+                "p99": 1.5934622204589843,
+                "values": [
+                    1.5938087158203125,
+                    1.5591591796875
+                ]
+            },
+            "throughput": {
+                "unit": "tokens/s",
+                "value": 80.55901880951158
+            },
+            "energy": null,
+            "efficiency": null
+        },
+        "per_token": {
+            "memory": null,
+            "latency": {
+                "unit": "s",
+                "count": 253,
+                "total": 3.15407155227661,
+                "mean": 0.01246668597737791,
+                "stdev": 0.0009094033128073883,
+                "p50": 0.012291071891784668,
+                "p90": 0.012769075584411621,
+                "p95": 0.012789555358886718,
+                "p99": 0.012844891738891601,
+                "values": [
+                    0.012717056274414062,
+                    0.012833791732788086,
+                    0.012731391906738282,
+                    0.012797951698303223,
+                    0.012728320121765137,
+                    0.012769280433654785,
+                    0.012790783882141114,
+                    0.012791872024536133,
+                    0.012724160194396972,
+                    0.01277337646484375,
+                    0.01276416015625,
+                    0.012829695701599121,
+                    0.012718079566955566,
+                    0.012761088371276855,
+                    0.012699647903442383,
+                    0.012772352218627929,
+                    0.012777471542358398,
+                    0.012802047729492188,
+                    0.012726335525512696,
+                    0.012784576416015625,
+                    0.012717056274414062,
+                    0.012724287986755371,
+                    0.012786623954772949,
+                    0.012790783882141114,
+                    0.012731391906738282,
+                    0.012775424003601075,
+                    0.012691455841064453,
+                    0.012815360069274903,
+                    0.012723199844360352,
+                    0.012742655754089355,
+                    0.012702719688415527,
+                    0.012766207695007324,
+                    0.012734463691711426,
+                    0.012770303726196289,
+                    0.012691455841064453,
+                    0.012687359809875488,
+                    0.012690431594848632,
+                    0.0127457275390625,
+                    0.012726271629333496,
+                    0.012744704246520995,
+                    0.012698623657226562,
+                    0.012769311904907226,
+                    0.012729311943054199,
+                    0.01287065601348877,
+                    0.01274675178527832,
+                    0.012775424003601075,
+                    0.012726271629333496,
+                    0.012768256187438964,
+                    0.01275391960144043,
+                    0.012822527885437012,
+                    0.01273036766052246,
+                    0.012788736343383789,
+                    0.012718079566955566,
+                    0.012772352218627929,
+                    0.012849151611328125,
+                    0.01278771209716797,
+                    0.012694527626037597,
+                    0.01274060821533203,
+                    0.012708864212036132,
+                    0.012840959548950195,
+                    0.012707839965820313,
+                    0.012760064125061036,
+                    0.012697600364685058,
+                    0.0127457275390625,
+                    0.012608511924743653,
+                    0.012670975685119629,
+                    0.012697600364685058,
+                    0.012621824264526366,
+                    0.012316672325134278,
+                    0.012509183883666992,
+                    0.012535807609558105,
+                    0.012704768180847169,
+                    0.012704768180847169,
+                    0.012397567749023437,
+                    0.012344320297241211,
+                    0.012368895530700684,
+                    0.012411904335021973,
+                    0.012315648078918457,
+                    0.012267519950866699,
+                    0.012320768356323243,
+                    0.01224396800994873,
+                    0.012298239707946777,
+                    0.012305407524108887,
+                    0.012319744110107422,
+                    0.012249088287353516,
+                    0.012298239707946777,
+                    0.012326911926269531,
+                    0.01237299156188965,
+                    0.012278783798217773,
+                    0.012304384231567383,
+                    0.01226956844329834,
+                    0.012305407524108887,
+                    0.012247039794921874,
+                    0.012296192169189453,
+                    0.012253184318542481,
+                    0.012297216415405274,
+                    0.012275712013244629,
+                    0.012319744110107422,
+                    0.012244992256164551,
+                    0.012294143676757812,
+                    0.012244992256164551,
+                    0.012285951614379884,
+                    0.012248064041137695,
+                    0.012289024353027344,
+                    0.012254207611083985,
+                    0.012297216415405274,
+                    0.01225011157989502,
+                    0.012282879829406738,
+                    0.012247039794921874,
+                    0.01228492832183838,
+                    0.012233728408813477,
+                    0.012312576293945313,
+                    0.01225216007232666,
+                    0.012286975860595703,
+                    0.012241920471191407,
+                    0.012290111541748047,
+                    0.01226028823852539,
+                    0.012288000106811523,
+                    0.012253184318542481,
+                    0.012296192169189453,
+                    0.012246015548706055,
+                    0.012285951614379884,
+                    0.01226035213470459,
+                    0.012282879829406738,
+                    0.012244992256164551,
+                    0.012297216415405274,
+                    0.02650111961364746,
+                    0.012239871978759765,
+                    0.012290047645568849,
+                    0.012264448165893555,
+                    0.012303359985351562,
+                    0.012239871978759765,
+                    0.012308480262756348,
+                    0.01226854419708252,
+                    0.01229312038421631,
+                    0.012263423919677734,
+                    0.012291071891784668,
+                    0.01224396800994873,
+                    0.012286975860595703,
+                    0.01225830364227295,
+                    0.012294143676757812,
+                    0.012256256103515625,
+                    0.012278783798217773,
+                    0.012248064041137695,
+                    0.012348416328430176,
+                    0.01225216007232666,
+                    0.012320768356323243,
+                    0.01226854419708252,
+                    0.012281855583190919,
+                    0.01226137638092041,
+                    0.012285951614379884,
+                    0.012244992256164551,
+                    0.012292096138000488,
+                    0.01225113582611084,
+                    0.012285951614379884,
+                    0.012253184318542481,
+                    0.012294143676757812,
+                    0.012241920471191407,
+                    0.01228492832183838,
+                    0.012239871978759765,
+                    0.01228492832183838,
+                    0.012253184318542481,
+                    0.012328960418701173,
+                    0.012244992256164551,
+                    0.012285951614379884,
+                    0.012248064041137695,
+                    0.012298239707946777,
+                    0.012255231857299804,
+                    0.012281855583190919,
+                    0.01225216007232666,
+                    0.012279808044433594,
+                    0.012253184318542481,
+                    0.012291071891784668,
+                    0.01225113582611084,
+                    0.012275712013244629,
+                    0.012240896224975586,
+                    0.012324864387512208,
+                    0.01225830364227295,
+                    0.01228492832183838,
+                    0.01224294376373291,
+                    0.012292096138000488,
+                    0.012259327888488769,
+                    0.012277759552001954,
+                    0.012237824440002442,
+                    0.012280832290649414,
+                    0.012264448165893555,
+                    0.012282879829406738,
+                    0.012247039794921874,
+                    0.012283904075622559,
+                    0.012237824440002442,
+                    0.012294143676757812,
+                    0.01226035213470459,
+                    0.012304384231567383,
+                    0.012237824440002442,
+                    0.012289024353027344,
+                    0.01225113582611084,
+                    0.012283904075622559,
+                    0.01224396800994873,
+                    0.012277759552001954,
+                    0.012246015548706055,
+                    0.012291071891784668,
+                    0.012229632377624512,
+                    0.012290047645568849,
+                    0.01224294376373291,
+                    0.012286975860595703,
+                    0.012241920471191407,
+                    0.012303359985351562,
+                    0.012254207611083985,
+                    0.012288000106811523,
+                    0.012248064041137695,
+                    0.012292096138000488,
+                    0.012239871978759765,
+                    0.012286975860595703,
+                    0.01226956844329834,
+                    0.012288000106811523,
+                    0.01223475170135498,
+                    0.012283904075622559,
+                    0.012257280349731446,
+                    0.012296192169189453,
+                    0.01239244842529297,
+                    0.01245081615447998,
+                    0.012306431770324706,
+                    0.012297216415405274,
+                    0.01226137638092041,
+                    0.012299263954162597,
+                    0.012255231857299804,
+                    0.012299263954162597,
+                    0.012254207611083985,
+                    0.012281855583190919,
+                    0.01224396800994873,
+                    0.012285951614379884,
+                    0.012244992256164551,
+                    0.012292096138000488,
+                    0.012246015548706055,
+                    0.012555264472961425,
+                    0.012246015548706055,
+                    0.012288000106811523,
+                    0.012241920471191407,
+                    0.012291071891784668,
+                    0.012233728408813477,
+                    0.01226854419708252,
+                    0.012241920471191407,
+                    0.01228492832183838,
+                    0.012247039794921874,
+                    0.012280832290649414,
+                    0.0122357759475708,
+                    0.01228492832183838,
+                    0.012248064041137695,
+                    0.012299263954162597,
+                    0.012271615982055664,
+                    0.012281855583190919,
+                    0.012241920471191407,
+                    0.012297216415405274
+                ]
+            },
+            "throughput": {
+                "unit": "tokens/s",
+                "value": 80.21377949317112
+            },
+            "energy": null,
+            "efficiency": null
+        }
+    }
+}

2024-06-28/commit=1c68f2cafb4ca54562f74b66d1085b68dd6682f5/backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=True/benchmark_config.json

@@ -0,0 +1,102 @@
+{
+    "name": "pytorch_generate",
+    "backend": {
+        "name": "pytorch",
+        "version": "2.3.0+cu121",
+        "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
+        "task": "text-generation",
+        "library": "transformers",
+        "model": "google/gemma-2b",
+        "processor": "google/gemma-2b",
+        "device": "cuda",
+        "device_ids": "0",
+        "seed": 42,
+        "inter_op_num_threads": null,
+        "intra_op_num_threads": null,
+        "model_kwargs": {},
+        "processor_kwargs": {},
+        "hub_kwargs": {},
+        "no_weights": true,
+        "device_map": null,
+        "torch_dtype": "float16",
+        "eval_mode": true,
+        "to_bettertransformer": false,
+        "low_cpu_mem_usage": null,
+        "attn_implementation": null,
+        "cache_implementation": "static",
+        "autocast_enabled": false,
+        "autocast_dtype": null,
+        "torch_compile": true,
+        "torch_compile_target": "forward",
+        "torch_compile_config": {
+            "backend": "inductor",
+            "mode": "reduce-overhead",
+            "fullgraph": true
+        },
+        "quantization_scheme": null,
+        "quantization_config": {},
+        "deepspeed_inference": false,
+        "deepspeed_inference_config": {},
+        "peft_type": null,
+        "peft_config": {}
+    },
+    "scenario": {
+        "name": "inference",
+        "_target_": "optimum_benchmark.scenarios.inference.scenario.InferenceScenario",
+        "iterations": 2,
+        "duration": 0,
+        "warmup_runs": 10,
+        "input_shapes": {
+            "batch_size": 1,
+            "num_choices": 2,
+            "sequence_length": 7
+        },
+        "new_tokens": null,
+        "latency": true,
+        "memory": true,
+        "energy": false,
+        "forward_kwargs": {},
+        "generate_kwargs": {
+            "max_new_tokens": 128,
+            "min_new_tokens": 128,
+            "do_sample": false
+        },
+        "call_kwargs": {}
+    },
+    "launcher": {
+        "name": "process",
+        "_target_": "optimum_benchmark.launchers.process.launcher.ProcessLauncher",
+        "device_isolation": true,
+        "device_isolation_action": "warn",
+        "start_method": "spawn"
+    },
+    "environment": {
+        "cpu": " AMD EPYC 7R32",
+        "cpu_count": 16,
+        "cpu_ram_mb": 66697.293824,
+        "system": "Linux",
+        "machine": "x86_64",
+        "platform": "Linux-5.10.219-208.866.amzn2.x86_64-x86_64-with-glibc2.29",
+        "processor": "x86_64",
+        "python_version": "3.8.10",
+        "gpu": [
+            "NVIDIA A10G"
+        ],
+        "gpu_count": 1,
+        "gpu_vram_mb": 24146608128,
+        "optimum_benchmark_version": "0.2.1",
+        "optimum_benchmark_commit": null,
+        "transformers_version": "4.43.0.dev0",
+        "transformers_commit": "1c68f2cafb4ca54562f74b66d1085b68dd6682f5",
+        "accelerate_version": "0.32.0.dev0",
+        "accelerate_commit": null,
+        "diffusers_version": null,
+        "diffusers_commit": null,
+        "optimum_version": "1.21.0.dev0",
+        "optimum_commit": null,
+        "timm_version": "0.9.16",
+        "timm_commit": null,
+        "peft_version": "0.11.2.dev0",
+        "peft_commit": null
+    }
+}

2024-06-28/commit=1c68f2cafb4ca54562f74b66d1085b68dd6682f5/backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=True/benchmark_report.json

@@ -0,0 +1,339 @@
+{
+    "prefill": {
+        "memory": {
+            "unit": "MB",
+            "max_ram": 1928.159232,
+            "max_global_vram": 6094.848,
+            "max_process_vram": 0.0,
+            "max_reserved": 5379.19488,
+            "max_allocated": 5021.251584
+        },
+        "latency": {
+            "unit": "s",
+            "count": 2,
+            "total": 0.028283679962158206,
+            "mean": 0.014141839981079103,
+            "stdev": 0.00012878417968749997,
+            "p50": 0.014141839981079103,
+            "p90": 0.014244867324829102,
+            "p95": 0.014257745742797851,
+            "p99": 0.014268048477172852,
+            "values": [
+                0.014270624160766602,
+                0.014013055801391602
+            ]
+        },
+        "throughput": {
+            "unit": "tokens/s",
+            "value": 494.98509453971775
+        },
+        "energy": null,
+        "efficiency": null
+    },
+    "decode": {
+        "memory": {
+            "unit": "MB",
+            "max_ram": 2272.0512,
+            "max_global_vram": 8907.128832,
+            "max_process_vram": 0.0,
+            "max_reserved": 5379.19488,
+            "max_allocated": 5027.089408
+        },
+        "latency": {
+            "unit": "s",
+            "count": 2,
+            "total": 3.152967895507812,
+            "mean": 1.576483947753906,
+            "stdev": 0.01732476806640626,
+            "p50": 1.576483947753906,
+            "p90": 1.5903437622070313,
+            "p95": 1.5920762390136718,
+            "p99": 1.5934622204589843,
+            "values": [
+                1.5938087158203125,
+                1.5591591796875
+            ]
+        },
+        "throughput": {
+            "unit": "tokens/s",
+            "value": 80.55901880951158
+        },
+        "energy": null,
+        "efficiency": null
+    },
+    "per_token": {
+        "memory": null,
+        "latency": {
+            "unit": "s",
+            "count": 253,
+            "total": 3.15407155227661,
+            "mean": 0.01246668597737791,
+            "stdev": 0.0009094033128073883,
+            "p50": 0.012291071891784668,
+            "p90": 0.012769075584411621,
+            "p95": 0.012789555358886718,
+            "p99": 0.012844891738891601,
+            "values": [
+                0.012717056274414062,
+                0.012833791732788086,
+                0.012731391906738282,
+                0.012797951698303223,
+                0.012728320121765137,
+                0.012769280433654785,
+                0.012790783882141114,
+                0.012791872024536133,
+                0.012724160194396972,
+                0.01277337646484375,
+                0.01276416015625,
+                0.012829695701599121,
+                0.012718079566955566,
+                0.012761088371276855,
+                0.012699647903442383,
+                0.012772352218627929,
+                0.012777471542358398,
+                0.012802047729492188,
+                0.012726335525512696,
+                0.012784576416015625,
+                0.012717056274414062,
+                0.012724287986755371,
+                0.012786623954772949,
+                0.012790783882141114,
+                0.012731391906738282,
+                0.012775424003601075,
+                0.012691455841064453,
+                0.012815360069274903,
+                0.012723199844360352,
+                0.012742655754089355,
+                0.012702719688415527,
+                0.012766207695007324,
+                0.012734463691711426,
+                0.012770303726196289,
+                0.012691455841064453,
+                0.012687359809875488,
+                0.012690431594848632,
+                0.0127457275390625,
+                0.012726271629333496,
+                0.012744704246520995,
+                0.012698623657226562,
+                0.012769311904907226,
+                0.012729311943054199,
+                0.01287065601348877,
+                0.01274675178527832,
+                0.012775424003601075,
+                0.012726271629333496,
+                0.012768256187438964,
+                0.01275391960144043,
+                0.012822527885437012,
+                0.01273036766052246,
+                0.012788736343383789,
+                0.012718079566955566,
+                0.012772352218627929,
+                0.012849151611328125,
+                0.01278771209716797,
+                0.012694527626037597,
+                0.01274060821533203,
+                0.012708864212036132,
+                0.012840959548950195,
+                0.012707839965820313,
+                0.012760064125061036,
+                0.012697600364685058,
+                0.0127457275390625,
+                0.012608511924743653,
+                0.012670975685119629,
+                0.012697600364685058,
+                0.012621824264526366,
+                0.012316672325134278,
+                0.012509183883666992,
+                0.012535807609558105,
+                0.012704768180847169,
+                0.012704768180847169,
+                0.012397567749023437,
+                0.012344320297241211,
+                0.012368895530700684,
+                0.012411904335021973,
+                0.012315648078918457,
+                0.012267519950866699,
+                0.012320768356323243,
+                0.01224396800994873,
+                0.012298239707946777,
+                0.012305407524108887,
+                0.012319744110107422,
+                0.012249088287353516,
+                0.012298239707946777,
+                0.012326911926269531,
+                0.01237299156188965,
+                0.012278783798217773,
+                0.012304384231567383,
+                0.01226956844329834,
+                0.012305407524108887,
+                0.012247039794921874,
+                0.012296192169189453,
+                0.012253184318542481,
+                0.012297216415405274,
+                0.012275712013244629,
+                0.012319744110107422,
+                0.012244992256164551,
+                0.012294143676757812,
+                0.012244992256164551,
+                0.012285951614379884,
+                0.012248064041137695,
+                0.012289024353027344,
+                0.012254207611083985,
+                0.012297216415405274,
+                0.01225011157989502,
+                0.012282879829406738,
+                0.012247039794921874,
+                0.01228492832183838,
+                0.012233728408813477,
+                0.012312576293945313,
+                0.01225216007232666,
+                0.012286975860595703,
+                0.012241920471191407,
+                0.012290111541748047,
+                0.01226028823852539,
+                0.012288000106811523,
+                0.012253184318542481,
+                0.012296192169189453,
+                0.012246015548706055,
+                0.012285951614379884,
+                0.01226035213470459,
+                0.012282879829406738,
+                0.012244992256164551,
+                0.012297216415405274,
+                0.02650111961364746,
+                0.012239871978759765,
+                0.012290047645568849,
+                0.012264448165893555,
+                0.012303359985351562,
+                0.012239871978759765,
+                0.012308480262756348,
+                0.01226854419708252,
+                0.01229312038421631,
+                0.012263423919677734,
+                0.012291071891784668,
+                0.01224396800994873,
+                0.012286975860595703,
+                0.01225830364227295,
+                0.012294143676757812,
+                0.012256256103515625,
+                0.012278783798217773,
+                0.012248064041137695,
+                0.012348416328430176,
+                0.01225216007232666,
+                0.012320768356323243,
+                0.01226854419708252,
+                0.012281855583190919,
+                0.01226137638092041,
+                0.012285951614379884,
+                0.012244992256164551,
+                0.012292096138000488,
+                0.01225113582611084,
+                0.012285951614379884,
+                0.012253184318542481,
+                0.012294143676757812,
+                0.012241920471191407,
+                0.01228492832183838,
+                0.012239871978759765,
+                0.01228492832183838,
+                0.012253184318542481,
+                0.012328960418701173,
+                0.012244992256164551,
+                0.012285951614379884,
+                0.012248064041137695,
+                0.012298239707946777,
+                0.012255231857299804,
+                0.012281855583190919,
+                0.01225216007232666,
+                0.012279808044433594,
+                0.012253184318542481,
+                0.012291071891784668,
+                0.01225113582611084,
+                0.012275712013244629,
+                0.012240896224975586,
+                0.012324864387512208,
+                0.01225830364227295,
+                0.01228492832183838,
+                0.01224294376373291,
+                0.012292096138000488,
+                0.012259327888488769,
+                0.012277759552001954,
+                0.012237824440002442,
+                0.012280832290649414,
+                0.012264448165893555,
+                0.012282879829406738,
+                0.012247039794921874,
+                0.012283904075622559,
+                0.012237824440002442,
+                0.012294143676757812,
+                0.01226035213470459,
+                0.012304384231567383,
+                0.012237824440002442,
+                0.012289024353027344,
+                0.01225113582611084,
+                0.012283904075622559,
+                0.01224396800994873,
+                0.012277759552001954,
+                0.012246015548706055,
+                0.012291071891784668,
+                0.012229632377624512,
+                0.012290047645568849,
+                0.01224294376373291,
+                0.012286975860595703,
+                0.012241920471191407,
+                0.012303359985351562,
+                0.012254207611083985,
+                0.012288000106811523,
+                0.012248064041137695,
+                0.012292096138000488,
+                0.012239871978759765,
+                0.012286975860595703,
+                0.01226956844329834,
+                0.012288000106811523,
+                0.01223475170135498,
+                0.012283904075622559,
+                0.012257280349731446,
+                0.012296192169189453,
+                0.01239244842529297,
+                0.01245081615447998,
+                0.012306431770324706,
+                0.012297216415405274,
+                0.01226137638092041,
+                0.012299263954162597,
+                0.012255231857299804,
+                0.012299263954162597,
+                0.012254207611083985,
+                0.012281855583190919,
+                0.01224396800994873,
+                0.012285951614379884,
+                0.012244992256164551,
+                0.012292096138000488,
+                0.012246015548706055,
+                0.012555264472961425,
+                0.012246015548706055,
+                0.012288000106811523,
+                0.012241920471191407,
+                0.012291071891784668,
+                0.012233728408813477,
+                0.01226854419708252,
+                0.012241920471191407,
+                0.01228492832183838,
+                0.012247039794921874,
+                0.012280832290649414,
+                0.0122357759475708,
+                0.01228492832183838,
+                0.012248064041137695,
+                0.012299263954162597,
+                0.012271615982055664,
+                0.012281855583190919,
+                0.012241920471191407,
+                0.012297216415405274
+            ]
+        },
+        "throughput": {
+            "unit": "tokens/s",
+            "value": 80.21377949317112
+        },
+        "energy": null,
+        "efficiency": null
+    }
+}

2024-06-28/commit=1c68f2cafb4ca54562f74b66d1085b68dd6682f5/backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=True/summary.json

@@ -0,0 +1,13 @@
+{
+    "model": "google/gemma-2b",
+    "commit": "1c68f2cafb4ca54562f74b66d1085b68dd6682f5",
+    "config": "backend.cache_implementation=static,backend.torch_compile=True",
+    "metrics": {
+        "prefill.latency.mean": 0.014141839981079103,
+        "prefill.throughput.value": 494.98509453971775,
+        "decode.latency.mean": 1.576483947753906,
+        "decode.throughput.value": 80.55901880951158,
+        "per_token.latency.mean": 0.01246668597737791,
+        "per_token.throughput.value": 80.21377949317112
+    }
+}

2024-06-28/commit=1c68f2cafb4ca54562f74b66d1085b68dd6682f5/multirun.yaml

@@ -0,0 +1,232 @@
+hydra:
+  run:
+    dir: _benchmark/tmp8h7qih8k/commit=1c68f2cafb4ca54562f74b66d1085b68dd6682f5/${hydra.job.override_dirname}
+  sweep:
+    dir: _benchmark/tmp8h7qih8k/commit=1c68f2cafb4ca54562f74b66d1085b68dd6682f5
+    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)
+
+
+      $HYDRA_CONFIG_GROUPS
+
+
+      Use ''--cfg hydra'' to Show the Hydra config.
+
+      '
+    hydra_help: ???
+  hydra_logging:
+    version: 1
+    root:
+      level: ERROR
+    disable_existing_loggers: true
+  job_logging:
+    version: 1
+    root:
+      level: ERROR
+    disable_existing_loggers: true
+  env: {}
+  mode: MULTIRUN
+  searchpath: []
+  callbacks: {}
+  output_subdir: .hydra
+  overrides:
+    hydra:
+    - hydra/job_logging=disabled
+    - hydra/hydra_logging=disabled
+    - hydra.sweep.dir=_benchmark/tmp8h7qih8k/commit\=1c68f2cafb4ca54562f74b66d1085b68dd6682f5
+    - hydra.run.dir=_benchmark/tmp8h7qih8k/commit\=1c68f2cafb4ca54562f74b66d1085b68dd6682f5/${hydra.job.override_dirname}
+    - hydra.mode=MULTIRUN
+    task:
+    - backend.model=google/gemma-2b
+    - backend.cache_implementation=null,static
+    - backend.torch_compile=false,true
+  job:
+    name: cli
+    chdir: true
+    override_dirname: backend.cache_implementation=null,static,backend.model=google/gemma-2b,backend.torch_compile=false,true
+    id: ???
+    num: ???
+    config_name: generation
+    env_set:
+      OVERRIDE_BENCHMARKS: '1'
+      LOG_LEVEL: WARN
+    env_copy: []
+    config:
+      override_dirname:
+        kv_sep: '='
+        item_sep: ','
+        exclude_keys: []
+  runtime:
+    version: 1.3.2
+    version_base: '1.3'
+    cwd: /transformers
+    config_sources:
+    - path: hydra.conf
+      schema: pkg
+      provider: hydra
+    - path: optimum_benchmark
+      schema: pkg
+      provider: main
+    - path: /transformers/benchmark/config
+      schema: file
+      provider: command-line
+    - path: ''
+      schema: structured
+      provider: schema
+    output_dir: ???
+    choices:
+      backend: pytorch
+      launcher: process
+      scenario: inference
+      hydra/env: default
+      hydra/callbacks: null
+      hydra/job_logging: disabled
+      hydra/hydra_logging: disabled
+      hydra/hydra_help: default
+      hydra/help: default
+      hydra/sweeper: basic
+      hydra/launcher: basic
+      hydra/output: default
+  verbose: false
+name: pytorch_generate
+backend:
+  name: pytorch
+  version: 2.3.0+cu121
+  _target_: optimum_benchmark.backends.pytorch.backend.PyTorchBackend
+  task: null
+  library: null
+  model: google/gemma-2b
+  processor: null
+  device: cuda
+  device_ids: '0'
+  seed: 42
+  inter_op_num_threads: null
+  intra_op_num_threads: null
+  model_kwargs: {}
+  processor_kwargs: {}
+  hub_kwargs: {}
+  no_weights: true
+  device_map: null
+  torch_dtype: float16
+  eval_mode: true
+  to_bettertransformer: false
+  low_cpu_mem_usage: null
+  attn_implementation: null
+  cache_implementation: static
+  autocast_enabled: false
+  autocast_dtype: null
+  torch_compile: true
+  torch_compile_target: forward
+  torch_compile_config:
+    backend: inductor
+    mode: reduce-overhead
+    fullgraph: true
+  quantization_scheme: null
+  quantization_config: {}
+  deepspeed_inference: false
+  deepspeed_inference_config: {}
+  peft_type: null
+  peft_config: {}
+scenario:
+  name: inference
+  _target_: optimum_benchmark.scenarios.inference.scenario.InferenceScenario
+  iterations: 2
+  duration: 0
+  warmup_runs: 10
+  input_shapes:
+    batch_size: 1
+    sequence_length: 7
+  new_tokens: null
+  latency: true
+  memory: true
+  energy: false
+  forward_kwargs: {}
+  generate_kwargs:
+    max_new_tokens: 128
+    min_new_tokens: 128
+    do_sample: false
+  call_kwargs: {}
+launcher:
+  name: process
+  _target_: optimum_benchmark.launchers.process.launcher.ProcessLauncher
+  device_isolation: true
+  device_isolation_action: warn
+  start_method: spawn
+environment:
+  cpu: ' AMD EPYC 7R32'
+  cpu_count: 16
+  cpu_ram_mb: 66697.293824
+  system: Linux
+  machine: x86_64
+  platform: Linux-5.10.219-208.866.amzn2.x86_64-x86_64-with-glibc2.29
+  processor: x86_64
+  python_version: 3.8.10
+  gpu:
+  - NVIDIA A10G
+  gpu_count: 1
+  gpu_vram_mb: 24146608128
+  optimum_benchmark_version: 0.2.1
+  optimum_benchmark_commit: null
+  transformers_version: 4.43.0.dev0
+  transformers_commit: 1c68f2cafb4ca54562f74b66d1085b68dd6682f5
+  accelerate_version: 0.32.0.dev0
+  accelerate_commit: null
+  diffusers_version: null
+  diffusers_commit: null
+  optimum_version: 1.21.0.dev0
+  optimum_commit: null
+  timm_version: 0.9.16
+  timm_commit: null
+  peft_version: 0.11.2.dev0
+  peft_commit: null

2024-06-28/summaries.json

@@ -0,0 +1,41 @@
+[
+    {
+        "model": "google/gemma-2b",
+        "commit": "1c68f2cafb4ca54562f74b66d1085b68dd6682f5",
+        "config": "backend.cache_implementation=null,backend.torch_compile=False",
+        "metrics": {
+            "prefill.latency.mean": 0.01942091178894043,
+            "prefill.throughput.value": 360.43621824111625,
+            "decode.latency.mean": 2.3815675048828124,
+            "decode.throughput.value": 53.32622306091179,
+            "per_token.latency.mean": 0.01882430539489264,
+            "per_token.throughput.value": 53.12281005977078
+        }
+    },
+    {
+        "model": "google/gemma-2b",
+        "commit": "1c68f2cafb4ca54562f74b66d1085b68dd6682f5",
+        "config": "backend.cache_implementation=static,backend.torch_compile=False",
+        "metrics": {
+            "prefill.latency.mean": 0.023109519958496094,
+            "prefill.throughput.value": 302.9054698051608,
+            "decode.latency.mean": 2.6399566650390627,
+            "decode.throughput.value": 48.10685026836258,
+            "per_token.latency.mean": 0.020877902826301663,
+            "per_token.throughput.value": 47.897531103565406
+        }
+    },
+    {
+        "model": "google/gemma-2b",
+        "commit": "1c68f2cafb4ca54562f74b66d1085b68dd6682f5",
+        "config": "backend.cache_implementation=static,backend.torch_compile=True",
+        "metrics": {
+            "prefill.latency.mean": 0.014141839981079103,
+            "prefill.throughput.value": 494.98509453971775,
+            "decode.latency.mean": 1.576483947753906,
+            "decode.throughput.value": 80.55901880951158,
+            "per_token.latency.mean": 0.01246668597737791,
+            "per_token.throughput.value": 80.21377949317112
+        }
+    }
+]

2024-06-28/summary.json

@@ -0,0 +1,40 @@
+{
+    "google/gemma-2b": {
+        "backend.cache_implementation=null,backend.torch_compile=False": {
+            "1c68f2cafb4ca54562f74b66d1085b68dd6682f5": {
+                "metrics": {
+                    "prefill.latency.mean": 0.01942091178894043,
+                    "prefill.throughput.value": 360.43621824111625,
+                    "decode.latency.mean": 2.3815675048828124,
+                    "decode.throughput.value": 53.32622306091179,
+                    "per_token.latency.mean": 0.01882430539489264,
+                    "per_token.throughput.value": 53.12281005977078
+                }
+            }
+        },
+        "backend.cache_implementation=static,backend.torch_compile=False": {
+            "1c68f2cafb4ca54562f74b66d1085b68dd6682f5": {
+                "metrics": {
+                    "prefill.latency.mean": 0.023109519958496094,
+                    "prefill.throughput.value": 302.9054698051608,
+                    "decode.latency.mean": 2.6399566650390627,
+                    "decode.throughput.value": 48.10685026836258,
+                    "per_token.latency.mean": 0.020877902826301663,
+                    "per_token.throughput.value": 47.897531103565406
+                }
+            }
+        },
+        "backend.cache_implementation=static,backend.torch_compile=True": {
+            "1c68f2cafb4ca54562f74b66d1085b68dd6682f5": {
+                "metrics": {
+                    "prefill.latency.mean": 0.014141839981079103,
+                    "prefill.throughput.value": 494.98509453971775,
+                    "decode.latency.mean": 1.576483947753906,
+                    "decode.throughput.value": 80.55901880951158,
+                    "per_token.latency.mean": 0.01246668597737791,
+                    "per_token.throughput.value": 80.21377949317112
+                }
+            }
+        }
+    }
+}