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2024-08-23/commit=d806fa3e92289876e01ab19c9e19e9264ea1c1a1/backend.cache_implementation=null,backend.model=google/gemma-2b,backend.torch_compile=False/.hydra/config.yaml

@@ -0,0 +1,93 @@
+name: pytorch_generate
+backend:
+  name: pytorch
+  version: 2.4.0+cu121
+  _target_: optimum_benchmark.backends.pytorch.backend.PyTorchBackend
+  task: null
+  library: null
+  model_type: null
+  model: google/gemma-2b
+  processor: null
+  device: cuda
+  device_ids: '0'
+  seed: 42
+  inter_op_num_threads: null
+  intra_op_num_threads: null
+  model_kwargs: {}
+  processor_kwargs: {}
+  no_weights: true
+  device_map: null
+  torch_dtype: float16
+  eval_mode: true
+  to_bettertransformer: false
+  low_cpu_mem_usage: null
+  attn_implementation: null
+  cache_implementation: null
+  autocast_enabled: false
+  autocast_dtype: null
+  torch_compile: false
+  torch_compile_target: forward
+  torch_compile_config:
+    backend: inductor
+    mode: reduce-overhead
+    fullgraph: true
+  quantization_scheme: null
+  quantization_config: {}
+  deepspeed_inference: false
+  deepspeed_inference_config: {}
+  peft_type: null
+  peft_config: {}
+scenario:
+  name: inference
+  _target_: optimum_benchmark.scenarios.inference.scenario.InferenceScenario
+  iterations: 2
+  duration: 0
+  warmup_runs: 10
+  input_shapes:
+    batch_size: 1
+    sequence_length: 7
+  new_tokens: null
+  memory: true
+  latency: true
+  energy: false
+  forward_kwargs: {}
+  generate_kwargs:
+    max_new_tokens: 128
+    min_new_tokens: 128
+    do_sample: false
+  call_kwargs: {}
+launcher:
+  name: process
+  _target_: optimum_benchmark.launchers.process.launcher.ProcessLauncher
+  device_isolation: true
+  device_isolation_action: warn
+  numactl: false
+  numactl_kwargs: {}
+  start_method: spawn
+environment:
+  cpu: ' AMD EPYC 7R32'
+  cpu_count: 16
+  cpu_ram_mb: 66697.261056
+  system: Linux
+  machine: x86_64
+  platform: Linux-5.10.223-211.872.amzn2.x86_64-x86_64-with-glibc2.29
+  processor: x86_64
+  python_version: 3.8.10
+  gpu:
+  - NVIDIA A10G
+  gpu_count: 1
+  gpu_vram_mb: 24146608128
+  optimum_benchmark_version: 0.4.0
+  optimum_benchmark_commit: null
+  transformers_version: 4.45.0.dev0
+  transformers_commit: d806fa3e92289876e01ab19c9e19e9264ea1c1a1
+  accelerate_version: 0.34.0.dev0
+  accelerate_commit: null
+  diffusers_version: null
+  diffusers_commit: null
+  optimum_version: 1.22.0.dev0
+  optimum_commit: null
+  timm_version: 0.9.16
+  timm_commit: null
+  peft_version: 0.12.1.dev0
+  peft_commit: null

2024-08-23/commit=d806fa3e92289876e01ab19c9e19e9264ea1c1a1/backend.cache_implementation=null,backend.model=google/gemma-2b,backend.torch_compile=False/.hydra/hydra.yaml

@@ -0,0 +1,141 @@
+hydra:
+  run:
+    dir: _benchmark/tmp8s70exus/commit=d806fa3e92289876e01ab19c9e19e9264ea1c1a1/${hydra.job.override_dirname}
+  sweep:
+    dir: _benchmark/tmp8s70exus/commit=d806fa3e92289876e01ab19c9e19e9264ea1c1a1
+    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)
+
+
+      $HYDRA_CONFIG_GROUPS
+
+
+      Use ''--cfg hydra'' to Show the Hydra config.
+
+      '
+    hydra_help: ???
+  hydra_logging:
+    version: 1
+    root:
+      level: ERROR
+    disable_existing_loggers: true
+  job_logging:
+    version: 1
+    root:
+      level: ERROR
+    disable_existing_loggers: true
+  env: {}
+  mode: MULTIRUN
+  searchpath: []
+  callbacks: {}
+  output_subdir: .hydra
+  overrides:
+    hydra:
+    - hydra/job_logging=disabled
+    - hydra/hydra_logging=disabled
+    - hydra.sweep.dir=_benchmark/tmp8s70exus/commit\=d806fa3e92289876e01ab19c9e19e9264ea1c1a1
+    - hydra.run.dir=_benchmark/tmp8s70exus/commit\=d806fa3e92289876e01ab19c9e19e9264ea1c1a1/${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/tmp8s70exus/commit=d806fa3e92289876e01ab19c9e19e9264ea1c1a1/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

2024-08-23/commit=d806fa3e92289876e01ab19c9e19e9264ea1c1a1/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

2024-08-23/commit=d806fa3e92289876e01ab19c9e19e9264ea1c1a1/backend.cache_implementation=null,backend.model=google/gemma-2b,backend.torch_compile=False/benchmark.json

@@ -0,0 +1,473 @@
+{
+    "config": {
+        "name": "pytorch_generate",
+        "backend": {
+            "name": "pytorch",
+            "version": "2.4.0+cu121",
+            "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
+            "task": "text-generation",
+            "library": "transformers",
+            "model_type": "gemma",
+            "model": "google/gemma-2b",
+            "processor": "google/gemma-2b",
+            "device": "cuda",
+            "device_ids": "0",
+            "seed": 42,
+            "inter_op_num_threads": null,
+            "intra_op_num_threads": null,
+            "model_kwargs": {},
+            "processor_kwargs": {},
+            "no_weights": true,
+            "device_map": null,
+            "torch_dtype": "float16",
+            "eval_mode": true,
+            "to_bettertransformer": false,
+            "low_cpu_mem_usage": null,
+            "attn_implementation": null,
+            "cache_implementation": null,
+            "autocast_enabled": false,
+            "autocast_dtype": null,
+            "torch_compile": false,
+            "torch_compile_target": "forward",
+            "torch_compile_config": {
+                "backend": "inductor",
+                "mode": "reduce-overhead",
+                "fullgraph": true
+            },
+            "quantization_scheme": null,
+            "quantization_config": {},
+            "deepspeed_inference": false,
+            "deepspeed_inference_config": {},
+            "peft_type": null,
+            "peft_config": {}
+        },
+        "scenario": {
+            "name": "inference",
+            "_target_": "optimum_benchmark.scenarios.inference.scenario.InferenceScenario",
+            "iterations": 2,
+            "duration": 0,
+            "warmup_runs": 10,
+            "input_shapes": {
+                "batch_size": 1,
+                "num_choices": 2,
+                "sequence_length": 7
+            },
+            "new_tokens": null,
+            "memory": true,
+            "latency": true,
+            "energy": false,
+            "forward_kwargs": {},
+            "generate_kwargs": {
+                "max_new_tokens": 128,
+                "min_new_tokens": 128,
+                "do_sample": false
+            },
+            "call_kwargs": {}
+        },
+        "launcher": {
+            "name": "process",
+            "_target_": "optimum_benchmark.launchers.process.launcher.ProcessLauncher",
+            "device_isolation": true,
+            "device_isolation_action": "warn",
+            "numactl": false,
+            "numactl_kwargs": {},
+            "start_method": "spawn"
+        },
+        "environment": {
+            "cpu": " AMD EPYC 7R32",
+            "cpu_count": 16,
+            "cpu_ram_mb": 66697.261056,
+            "system": "Linux",
+            "machine": "x86_64",
+            "platform": "Linux-5.10.223-211.872.amzn2.x86_64-x86_64-with-glibc2.29",
+            "processor": "x86_64",
+            "python_version": "3.8.10",
+            "gpu": [
+                "NVIDIA A10G"
+            ],
+            "gpu_count": 1,
+            "gpu_vram_mb": 24146608128,
+            "optimum_benchmark_version": "0.4.0",
+            "optimum_benchmark_commit": null,
+            "transformers_version": "4.45.0.dev0",
+            "transformers_commit": "d806fa3e92289876e01ab19c9e19e9264ea1c1a1",
+            "accelerate_version": "0.34.0.dev0",
+            "accelerate_commit": null,
+            "diffusers_version": null,
+            "diffusers_commit": null,
+            "optimum_version": "1.22.0.dev0",
+            "optimum_commit": null,
+            "timm_version": "0.9.16",
+            "timm_commit": null,
+            "peft_version": "0.12.1.dev0",
+            "peft_commit": null
+        }
+    },
+    "report": {
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2024-08-23/commit=d806fa3e92289876e01ab19c9e19e9264ea1c1a1/backend.cache_implementation=null,backend.model=google/gemma-2b,backend.torch_compile=False/benchmark_config.json

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2024-08-23/commit=d806fa3e92289876e01ab19c9e19e9264ea1c1a1/backend.cache_implementation=null,backend.model=google/gemma-2b,backend.torch_compile=False/benchmark_report.json

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2024-08-23/commit=d806fa3e92289876e01ab19c9e19e9264ea1c1a1/backend.cache_implementation=null,backend.model=google/gemma-2b,backend.torch_compile=False/summary.json

@@ -0,0 +1,13 @@
+{
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2024-08-23/commit=d806fa3e92289876e01ab19c9e19e9264ea1c1a1/backend.cache_implementation=null,backend.model=google/gemma-2b,backend.torch_compile=True/.hydra/config.yaml

@@ -0,0 +1,93 @@
+name: pytorch_generate
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+  _target_: optimum_benchmark.backends.pytorch.backend.PyTorchBackend
+  task: null
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+  model: google/gemma-2b
+  processor: null
+  device: cuda
+  device_ids: '0'
+  seed: 42
+  inter_op_num_threads: null
+  intra_op_num_threads: null
+  model_kwargs: {}
+  processor_kwargs: {}
+  no_weights: true
+  device_map: null
+  torch_dtype: float16
+  eval_mode: true
+  to_bettertransformer: false
+  low_cpu_mem_usage: null
+  attn_implementation: null
+  cache_implementation: null
+  autocast_enabled: false
+  autocast_dtype: null
+  torch_compile: true
+  torch_compile_target: forward
+  torch_compile_config:
+    backend: inductor
+    mode: reduce-overhead
+    fullgraph: true
+  quantization_scheme: null
+  quantization_config: {}
+  deepspeed_inference: false
+  deepspeed_inference_config: {}
+  peft_type: null
+  peft_config: {}
+scenario:
+  name: inference
+  _target_: optimum_benchmark.scenarios.inference.scenario.InferenceScenario
+  iterations: 2
+  duration: 0
+  warmup_runs: 10
+  input_shapes:
+    batch_size: 1
+    sequence_length: 7
+  new_tokens: null
+  memory: true
+  latency: true
+  energy: false
+  forward_kwargs: {}
+  generate_kwargs:
+    max_new_tokens: 128
+    min_new_tokens: 128
+    do_sample: false
+  call_kwargs: {}
+launcher:
+  name: process
+  _target_: optimum_benchmark.launchers.process.launcher.ProcessLauncher
+  device_isolation: true
+  device_isolation_action: warn
+  numactl: false
+  numactl_kwargs: {}
+  start_method: spawn
+environment:
+  cpu: ' AMD EPYC 7R32'
+  cpu_count: 16
+  cpu_ram_mb: 66697.261056
+  system: Linux
+  machine: x86_64
+  platform: Linux-5.10.223-211.872.amzn2.x86_64-x86_64-with-glibc2.29
+  processor: x86_64
+  python_version: 3.8.10
+  gpu:
+  - NVIDIA A10G
+  gpu_count: 1
+  gpu_vram_mb: 24146608128
+  optimum_benchmark_version: 0.4.0
+  optimum_benchmark_commit: null
+  transformers_version: 4.45.0.dev0
+  transformers_commit: d806fa3e92289876e01ab19c9e19e9264ea1c1a1
+  accelerate_version: 0.34.0.dev0
+  accelerate_commit: null
+  diffusers_version: null
+  diffusers_commit: null
+  optimum_version: 1.22.0.dev0
+  optimum_commit: null
+  timm_version: 0.9.16
+  timm_commit: null
+  peft_version: 0.12.1.dev0
+  peft_commit: null

2024-08-23/commit=d806fa3e92289876e01ab19c9e19e9264ea1c1a1/backend.cache_implementation=null,backend.model=google/gemma-2b,backend.torch_compile=True/.hydra/hydra.yaml

@@ -0,0 +1,141 @@
+hydra:
+  run:
+    dir: _benchmark/tmp8s70exus/commit=d806fa3e92289876e01ab19c9e19e9264ea1c1a1/${hydra.job.override_dirname}
+  sweep:
+    dir: _benchmark/tmp8s70exus/commit=d806fa3e92289876e01ab19c9e19e9264ea1c1a1
+    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)
+
+
+      $HYDRA_CONFIG_GROUPS
+
+
+      Use ''--cfg hydra'' to Show the Hydra config.
+
+      '
+    hydra_help: ???
+  hydra_logging:
+    version: 1
+    root:
+      level: ERROR
+    disable_existing_loggers: true
+  job_logging:
+    version: 1
+    root:
+      level: ERROR
+    disable_existing_loggers: true
+  env: {}
+  mode: MULTIRUN
+  searchpath: []
+  callbacks: {}
+  output_subdir: .hydra
+  overrides:
+    hydra:
+    - hydra/job_logging=disabled
+    - hydra/hydra_logging=disabled
+    - hydra.sweep.dir=_benchmark/tmp8s70exus/commit\=d806fa3e92289876e01ab19c9e19e9264ea1c1a1
+    - hydra.run.dir=_benchmark/tmp8s70exus/commit\=d806fa3e92289876e01ab19c9e19e9264ea1c1a1/${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/tmp8s70exus/commit=d806fa3e92289876e01ab19c9e19e9264ea1c1a1/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

2024-08-23/commit=d806fa3e92289876e01ab19c9e19e9264ea1c1a1/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

2024-08-23/commit=d806fa3e92289876e01ab19c9e19e9264ea1c1a1/backend.cache_implementation=null,backend.model=google/gemma-2b,backend.torch_compile=True/benchmark.log

@@ -0,0 +1,2 @@
+[ISOLATED-PROCESS][2024-08-23 02:37:27,075][process][ERROR] - 	+ Sending traceback to main process
+[MAIN-PROCESS][2024-08-23 02:37:29,478][process][ERROR] - 	+ Received traceback from isolated process

2024-08-23/commit=d806fa3e92289876e01ab19c9e19e9264ea1c1a1/backend.cache_implementation=null,backend.model=google/gemma-2b,backend.torch_compile=True/benchmark_config.json

@@ -0,0 +1,104 @@
+{
+    "name": "pytorch_generate",
+    "backend": {
+        "name": "pytorch",
+        "version": "2.4.0+cu121",
+        "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
+        "task": "text-generation",
+        "library": "transformers",
+        "model_type": "gemma",
+        "model": "google/gemma-2b",
+        "processor": "google/gemma-2b",
+        "device": "cuda",
+        "device_ids": "0",
+        "seed": 42,
+        "inter_op_num_threads": null,
+        "intra_op_num_threads": null,
+        "model_kwargs": {},
+        "processor_kwargs": {},
+        "no_weights": true,
+        "device_map": null,
+        "torch_dtype": "float16",
+        "eval_mode": true,
+        "to_bettertransformer": false,
+        "low_cpu_mem_usage": null,
+        "attn_implementation": null,
+        "cache_implementation": null,
+        "autocast_enabled": false,
+        "autocast_dtype": null,
+        "torch_compile": true,
+        "torch_compile_target": "forward",
+        "torch_compile_config": {
+            "backend": "inductor",
+            "mode": "reduce-overhead",
+            "fullgraph": true
+        },
+        "quantization_scheme": null,
+        "quantization_config": {},
+        "deepspeed_inference": false,
+        "deepspeed_inference_config": {},
+        "peft_type": null,
+        "peft_config": {}
+    },
+    "scenario": {
+        "name": "inference",
+        "_target_": "optimum_benchmark.scenarios.inference.scenario.InferenceScenario",
+        "iterations": 2,
+        "duration": 0,
+        "warmup_runs": 10,
+        "input_shapes": {
+            "batch_size": 1,
+            "num_choices": 2,
+            "sequence_length": 7
+        },
+        "new_tokens": null,
+        "memory": true,
+        "latency": true,
+        "energy": false,
+        "forward_kwargs": {},
+        "generate_kwargs": {
+            "max_new_tokens": 128,
+            "min_new_tokens": 128,
+            "do_sample": false
+        },
+        "call_kwargs": {}
+    },
+    "launcher": {
+        "name": "process",
+        "_target_": "optimum_benchmark.launchers.process.launcher.ProcessLauncher",
+        "device_isolation": true,
+        "device_isolation_action": "warn",
+        "numactl": false,
+        "numactl_kwargs": {},
+        "start_method": "spawn"
+    },
+    "environment": {
+        "cpu": " AMD EPYC 7R32",
+        "cpu_count": 16,
+        "cpu_ram_mb": 66697.261056,
+        "system": "Linux",
+        "machine": "x86_64",
+        "platform": "Linux-5.10.223-211.872.amzn2.x86_64-x86_64-with-glibc2.29",
+        "processor": "x86_64",
+        "python_version": "3.8.10",
+        "gpu": [
+            "NVIDIA A10G"
+        ],
+        "gpu_count": 1,
+        "gpu_vram_mb": 24146608128,
+        "optimum_benchmark_version": "0.4.0",
+        "optimum_benchmark_commit": null,
+        "transformers_version": "4.45.0.dev0",
+        "transformers_commit": "d806fa3e92289876e01ab19c9e19e9264ea1c1a1",
+        "accelerate_version": "0.34.0.dev0",
+        "accelerate_commit": null,
+        "diffusers_version": null,
+        "diffusers_commit": null,
+        "optimum_version": "1.22.0.dev0",
+        "optimum_commit": null,
+        "timm_version": "0.9.16",
+        "timm_commit": null,
+        "peft_version": "0.12.1.dev0",
+        "peft_commit": null
+    }
+}

2024-08-23/commit=d806fa3e92289876e01ab19c9e19e9264ea1c1a1/backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=False/.hydra/config.yaml

@@ -0,0 +1,93 @@
+name: pytorch_generate
+backend:
+  name: pytorch
+  version: 2.4.0+cu121
+  _target_: optimum_benchmark.backends.pytorch.backend.PyTorchBackend
+  task: null
+  library: null
+  model_type: null
+  model: google/gemma-2b
+  processor: null
+  device: cuda
+  device_ids: '0'
+  seed: 42
+  inter_op_num_threads: null
+  intra_op_num_threads: null
+  model_kwargs: {}
+  processor_kwargs: {}
+  no_weights: true
+  device_map: null
+  torch_dtype: float16
+  eval_mode: true
+  to_bettertransformer: false
+  low_cpu_mem_usage: null
+  attn_implementation: null
+  cache_implementation: static
+  autocast_enabled: false
+  autocast_dtype: null
+  torch_compile: false
+  torch_compile_target: forward
+  torch_compile_config:
+    backend: inductor
+    mode: reduce-overhead
+    fullgraph: true
+  quantization_scheme: null
+  quantization_config: {}
+  deepspeed_inference: false
+  deepspeed_inference_config: {}
+  peft_type: null
+  peft_config: {}
+scenario:
+  name: inference
+  _target_: optimum_benchmark.scenarios.inference.scenario.InferenceScenario
+  iterations: 2
+  duration: 0
+  warmup_runs: 10
+  input_shapes:
+    batch_size: 1
+    sequence_length: 7
+  new_tokens: null
+  memory: true
+  latency: true
+  energy: false
+  forward_kwargs: {}
+  generate_kwargs:
+    max_new_tokens: 128
+    min_new_tokens: 128
+    do_sample: false
+  call_kwargs: {}
+launcher:
+  name: process
+  _target_: optimum_benchmark.launchers.process.launcher.ProcessLauncher
+  device_isolation: true
+  device_isolation_action: warn
+  numactl: false
+  numactl_kwargs: {}
+  start_method: spawn
+environment:
+  cpu: ' AMD EPYC 7R32'
+  cpu_count: 16
+  cpu_ram_mb: 66697.261056
+  system: Linux
+  machine: x86_64
+  platform: Linux-5.10.223-211.872.amzn2.x86_64-x86_64-with-glibc2.29
+  processor: x86_64
+  python_version: 3.8.10
+  gpu:
+  - NVIDIA A10G
+  gpu_count: 1
+  gpu_vram_mb: 24146608128
+  optimum_benchmark_version: 0.4.0
+  optimum_benchmark_commit: null
+  transformers_version: 4.45.0.dev0
+  transformers_commit: d806fa3e92289876e01ab19c9e19e9264ea1c1a1
+  accelerate_version: 0.34.0.dev0
+  accelerate_commit: null
+  diffusers_version: null
+  diffusers_commit: null
+  optimum_version: 1.22.0.dev0
+  optimum_commit: null
+  timm_version: 0.9.16
+  timm_commit: null
+  peft_version: 0.12.1.dev0
+  peft_commit: null

2024-08-23/commit=d806fa3e92289876e01ab19c9e19e9264ea1c1a1/backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=False/.hydra/hydra.yaml

@@ -0,0 +1,141 @@
+hydra:
+  run:
+    dir: _benchmark/tmp8s70exus/commit=d806fa3e92289876e01ab19c9e19e9264ea1c1a1/${hydra.job.override_dirname}
+  sweep:
+    dir: _benchmark/tmp8s70exus/commit=d806fa3e92289876e01ab19c9e19e9264ea1c1a1
+    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)
+
+
+      $HYDRA_CONFIG_GROUPS
+
+
+      Use ''--cfg hydra'' to Show the Hydra config.
+
+      '
+    hydra_help: ???
+  hydra_logging:
+    version: 1
+    root:
+      level: ERROR
+    disable_existing_loggers: true
+  job_logging:
+    version: 1
+    root:
+      level: ERROR
+    disable_existing_loggers: true
+  env: {}
+  mode: MULTIRUN
+  searchpath: []
+  callbacks: {}
+  output_subdir: .hydra
+  overrides:
+    hydra:
+    - hydra/job_logging=disabled
+    - hydra/hydra_logging=disabled
+    - hydra.sweep.dir=_benchmark/tmp8s70exus/commit\=d806fa3e92289876e01ab19c9e19e9264ea1c1a1
+    - hydra.run.dir=_benchmark/tmp8s70exus/commit\=d806fa3e92289876e01ab19c9e19e9264ea1c1a1/${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/tmp8s70exus/commit=d806fa3e92289876e01ab19c9e19e9264ea1c1a1/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

2024-08-23/commit=d806fa3e92289876e01ab19c9e19e9264ea1c1a1/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

2024-08-23/commit=d806fa3e92289876e01ab19c9e19e9264ea1c1a1/backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=False/benchmark.json

@@ -0,0 +1,473 @@
+{
+    "config": {
+        "name": "pytorch_generate",
+        "backend": {
+            "name": "pytorch",
+            "version": "2.4.0+cu121",
+            "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
+            "task": "text-generation",
+            "library": "transformers",
+            "model_type": "gemma",
+            "model": "google/gemma-2b",
+            "processor": "google/gemma-2b",
+            "device": "cuda",
+            "device_ids": "0",
+            "seed": 42,
+            "inter_op_num_threads": null,
+            "intra_op_num_threads": null,
+            "model_kwargs": {},
+            "processor_kwargs": {},
+            "no_weights": true,
+            "device_map": null,
+            "torch_dtype": "float16",
+            "eval_mode": true,
+            "to_bettertransformer": false,
+            "low_cpu_mem_usage": null,
+            "attn_implementation": null,
+            "cache_implementation": "static",
+            "autocast_enabled": false,
+            "autocast_dtype": null,
+            "torch_compile": false,
+            "torch_compile_target": "forward",
+            "torch_compile_config": {
+                "backend": "inductor",
+                "mode": "reduce-overhead",
+                "fullgraph": true
+            },
+            "quantization_scheme": null,
+            "quantization_config": {},
+            "deepspeed_inference": false,
+            "deepspeed_inference_config": {},
+            "peft_type": null,
+            "peft_config": {}
+        },
+        "scenario": {
+            "name": "inference",
+            "_target_": "optimum_benchmark.scenarios.inference.scenario.InferenceScenario",
+            "iterations": 2,
+            "duration": 0,
+            "warmup_runs": 10,
+            "input_shapes": {
+                "batch_size": 1,
+                "num_choices": 2,
+                "sequence_length": 7
+            },
+            "new_tokens": null,
+            "memory": true,
+            "latency": true,
+            "energy": false,
+            "forward_kwargs": {},
+            "generate_kwargs": {
+                "max_new_tokens": 128,
+                "min_new_tokens": 128,
+                "do_sample": false
+            },
+            "call_kwargs": {}
+        },
+        "launcher": {
+            "name": "process",
+            "_target_": "optimum_benchmark.launchers.process.launcher.ProcessLauncher",
+            "device_isolation": true,
+            "device_isolation_action": "warn",
+            "numactl": false,
+            "numactl_kwargs": {},
+            "start_method": "spawn"
+        },
+        "environment": {
+            "cpu": " AMD EPYC 7R32",
+            "cpu_count": 16,
+            "cpu_ram_mb": 66697.261056,
+            "system": "Linux",
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2024-08-23/commit=d806fa3e92289876e01ab19c9e19e9264ea1c1a1/backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=False/benchmark_config.json

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2024-08-23/commit=d806fa3e92289876e01ab19c9e19e9264ea1c1a1/backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=False/benchmark_report.json

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+        "throughput": {
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+        },
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+    }
+}

2024-08-23/commit=d806fa3e92289876e01ab19c9e19e9264ea1c1a1/backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=False/summary.json

@@ -0,0 +1,13 @@
+{
+    "model": "google/gemma-2b",
+    "commit": "d806fa3e92289876e01ab19c9e19e9264ea1c1a1",
+    "config": "backend.cache_implementation=static,backend.torch_compile=False",
+    "metrics": {
+        "prefill.latency.mean": 0.021566495895385743,
+        "prefill.throughput.value": 324.5775314615521,
+        "decode.latency.mean": 2.60439697265625,
+        "decode.throughput.value": 48.763687461390134,
+        "per_token.latency.mean": 0.020506019329461528,
+        "per_token.throughput.value": 48.76616879821595
+    }
+}

2024-08-23/commit=d806fa3e92289876e01ab19c9e19e9264ea1c1a1/backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=True/.hydra/config.yaml

@@ -0,0 +1,93 @@
+name: pytorch_generate
+backend:
+  name: pytorch
+  version: 2.4.0+cu121
+  _target_: optimum_benchmark.backends.pytorch.backend.PyTorchBackend
+  task: null
+  library: null
+  model_type: null
+  model: google/gemma-2b
+  processor: null
+  device: cuda
+  device_ids: '0'
+  seed: 42
+  inter_op_num_threads: null
+  intra_op_num_threads: null
+  model_kwargs: {}
+  processor_kwargs: {}
+  no_weights: true
+  device_map: null
+  torch_dtype: float16
+  eval_mode: true
+  to_bettertransformer: false
+  low_cpu_mem_usage: null
+  attn_implementation: null
+  cache_implementation: static
+  autocast_enabled: false
+  autocast_dtype: null
+  torch_compile: true
+  torch_compile_target: forward
+  torch_compile_config:
+    backend: inductor
+    mode: reduce-overhead
+    fullgraph: true
+  quantization_scheme: null
+  quantization_config: {}
+  deepspeed_inference: false
+  deepspeed_inference_config: {}
+  peft_type: null
+  peft_config: {}
+scenario:
+  name: inference
+  _target_: optimum_benchmark.scenarios.inference.scenario.InferenceScenario
+  iterations: 2
+  duration: 0
+  warmup_runs: 10
+  input_shapes:
+    batch_size: 1
+    sequence_length: 7
+  new_tokens: null
+  memory: true
+  latency: true
+  energy: false
+  forward_kwargs: {}
+  generate_kwargs:
+    max_new_tokens: 128
+    min_new_tokens: 128
+    do_sample: false
+  call_kwargs: {}
+launcher:
+  name: process
+  _target_: optimum_benchmark.launchers.process.launcher.ProcessLauncher
+  device_isolation: true
+  device_isolation_action: warn
+  numactl: false
+  numactl_kwargs: {}
+  start_method: spawn
+environment:
+  cpu: ' AMD EPYC 7R32'
+  cpu_count: 16
+  cpu_ram_mb: 66697.261056
+  system: Linux
+  machine: x86_64
+  platform: Linux-5.10.223-211.872.amzn2.x86_64-x86_64-with-glibc2.29
+  processor: x86_64
+  python_version: 3.8.10
+  gpu:
+  - NVIDIA A10G
+  gpu_count: 1
+  gpu_vram_mb: 24146608128
+  optimum_benchmark_version: 0.4.0
+  optimum_benchmark_commit: null
+  transformers_version: 4.45.0.dev0
+  transformers_commit: d806fa3e92289876e01ab19c9e19e9264ea1c1a1
+  accelerate_version: 0.34.0.dev0
+  accelerate_commit: null
+  diffusers_version: null
+  diffusers_commit: null
+  optimum_version: 1.22.0.dev0
+  optimum_commit: null
+  timm_version: 0.9.16
+  timm_commit: null
+  peft_version: 0.12.1.dev0
+  peft_commit: null

2024-08-23/commit=d806fa3e92289876e01ab19c9e19e9264ea1c1a1/backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=True/.hydra/hydra.yaml

@@ -0,0 +1,141 @@
+hydra:
+  run:
+    dir: _benchmark/tmp8s70exus/commit=d806fa3e92289876e01ab19c9e19e9264ea1c1a1/${hydra.job.override_dirname}
+  sweep:
+    dir: _benchmark/tmp8s70exus/commit=d806fa3e92289876e01ab19c9e19e9264ea1c1a1
+    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)
+
+
+      $HYDRA_CONFIG_GROUPS
+
+
+      Use ''--cfg hydra'' to Show the Hydra config.
+
+      '
+    hydra_help: ???
+  hydra_logging:
+    version: 1
+    root:
+      level: ERROR
+    disable_existing_loggers: true
+  job_logging:
+    version: 1
+    root:
+      level: ERROR
+    disable_existing_loggers: true
+  env: {}
+  mode: MULTIRUN
+  searchpath: []
+  callbacks: {}
+  output_subdir: .hydra
+  overrides:
+    hydra:
+    - hydra/job_logging=disabled
+    - hydra/hydra_logging=disabled
+    - hydra.sweep.dir=_benchmark/tmp8s70exus/commit\=d806fa3e92289876e01ab19c9e19e9264ea1c1a1
+    - hydra.run.dir=_benchmark/tmp8s70exus/commit\=d806fa3e92289876e01ab19c9e19e9264ea1c1a1/${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/tmp8s70exus/commit=d806fa3e92289876e01ab19c9e19e9264ea1c1a1/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

2024-08-23/commit=d806fa3e92289876e01ab19c9e19e9264ea1c1a1/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

2024-08-23/commit=d806fa3e92289876e01ab19c9e19e9264ea1c1a1/backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=True/benchmark.json

@@ -0,0 +1,473 @@
+{
+    "config": {
+        "name": "pytorch_generate",
+        "backend": {
+            "name": "pytorch",
+            "version": "2.4.0+cu121",
+            "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
+            "task": "text-generation",
+            "library": "transformers",
+            "model_type": "gemma",
+            "model": "google/gemma-2b",
+            "processor": "google/gemma-2b",
+            "device": "cuda",
+            "device_ids": "0",
+            "seed": 42,
+            "inter_op_num_threads": null,
+            "intra_op_num_threads": null,
+            "model_kwargs": {},
+            "processor_kwargs": {},
+            "no_weights": true,
+            "device_map": null,
+            "torch_dtype": "float16",
+            "eval_mode": true,
+            "to_bettertransformer": false,
+            "low_cpu_mem_usage": null,
+            "attn_implementation": null,
+            "cache_implementation": "static",
+            "autocast_enabled": false,
+            "autocast_dtype": null,
+            "torch_compile": true,
+            "torch_compile_target": "forward",
+            "torch_compile_config": {
+                "backend": "inductor",
+                "mode": "reduce-overhead",
+                "fullgraph": true
+            },
+            "quantization_scheme": null,
+            "quantization_config": {},
+            "deepspeed_inference": false,
+            "deepspeed_inference_config": {},
+            "peft_type": null,
+            "peft_config": {}
+        },
+        "scenario": {
+            "name": "inference",
+            "_target_": "optimum_benchmark.scenarios.inference.scenario.InferenceScenario",
+            "iterations": 2,
+            "duration": 0,
+            "warmup_runs": 10,
+            "input_shapes": {
+                "batch_size": 1,
+                "num_choices": 2,
+                "sequence_length": 7
+            },
+            "new_tokens": null,
+            "memory": true,
+            "latency": true,
+            "energy": false,
+            "forward_kwargs": {},
+            "generate_kwargs": {
+                "max_new_tokens": 128,
+                "min_new_tokens": 128,
+                "do_sample": false
+            },
+            "call_kwargs": {}
+        },
+        "launcher": {
+            "name": "process",
+            "_target_": "optimum_benchmark.launchers.process.launcher.ProcessLauncher",
+            "device_isolation": true,
+            "device_isolation_action": "warn",
+            "numactl": false,
+            "numactl_kwargs": {},
+            "start_method": "spawn"
+        },
+        "environment": {
+            "cpu": " AMD EPYC 7R32",
+            "cpu_count": 16,
+            "cpu_ram_mb": 66697.261056,
+            "system": "Linux",
+            "machine": "x86_64",
+            "platform": "Linux-5.10.223-211.872.amzn2.x86_64-x86_64-with-glibc2.29",
+            "processor": "x86_64",
+            "python_version": "3.8.10",
+            "gpu": [
+                "NVIDIA A10G"
+            ],
+            "gpu_count": 1,
+            "gpu_vram_mb": 24146608128,
+            "optimum_benchmark_version": "0.4.0",
+            "optimum_benchmark_commit": null,
+            "transformers_version": "4.45.0.dev0",
+            "transformers_commit": "d806fa3e92289876e01ab19c9e19e9264ea1c1a1",
+            "accelerate_version": "0.34.0.dev0",
+            "accelerate_commit": null,
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2024-08-23/commit=d806fa3e92289876e01ab19c9e19e9264ea1c1a1/backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=True/benchmark_config.json

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2024-08-23/commit=d806fa3e92289876e01ab19c9e19e9264ea1c1a1/backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=True/benchmark_report.json

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+    }
+}

2024-08-23/commit=d806fa3e92289876e01ab19c9e19e9264ea1c1a1/backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=True/summary.json

@@ -0,0 +1,13 @@
+{
+    "model": "google/gemma-2b",
+    "commit": "d806fa3e92289876e01ab19c9e19e9264ea1c1a1",
+    "config": "backend.cache_implementation=static,backend.torch_compile=True",
+    "metrics": {
+        "prefill.latency.mean": 0.014093887805938721,
+        "prefill.throughput.value": 496.669201315085,
+        "decode.latency.mean": 1.5648489379882813,
+        "decode.throughput.value": 81.15799353978989,
+        "per_token.latency.mean": 0.012320554320267805,
+        "per_token.throughput.value": 81.16517926104672
+    }
+}

2024-08-23/commit=d806fa3e92289876e01ab19c9e19e9264ea1c1a1/multirun.yaml

@@ -0,0 +1,234 @@
+hydra:
+  run:
+    dir: _benchmark/tmp8s70exus/commit=d806fa3e92289876e01ab19c9e19e9264ea1c1a1/${hydra.job.override_dirname}
+  sweep:
+    dir: _benchmark/tmp8s70exus/commit=d806fa3e92289876e01ab19c9e19e9264ea1c1a1
+    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)
+
+
+      $HYDRA_CONFIG_GROUPS
+
+
+      Use ''--cfg hydra'' to Show the Hydra config.
+
+      '
+    hydra_help: ???
+  hydra_logging:
+    version: 1
+    root:
+      level: ERROR
+    disable_existing_loggers: true
+  job_logging:
+    version: 1
+    root:
+      level: ERROR
+    disable_existing_loggers: true
+  env: {}
+  mode: MULTIRUN
+  searchpath: []
+  callbacks: {}
+  output_subdir: .hydra
+  overrides:
+    hydra:
+    - hydra/job_logging=disabled
+    - hydra/hydra_logging=disabled
+    - hydra.sweep.dir=_benchmark/tmp8s70exus/commit\=d806fa3e92289876e01ab19c9e19e9264ea1c1a1
+    - hydra.run.dir=_benchmark/tmp8s70exus/commit\=d806fa3e92289876e01ab19c9e19e9264ea1c1a1/${hydra.job.override_dirname}
+    - hydra.mode=MULTIRUN
+    task:
+    - backend.model=google/gemma-2b
+    - backend.cache_implementation=null,static
+    - backend.torch_compile=false,true
+  job:
+    name: cli
+    chdir: true
+    override_dirname: backend.cache_implementation=null,static,backend.model=google/gemma-2b,backend.torch_compile=false,true
+    id: ???
+    num: ???
+    config_name: generation
+    env_set:
+      OVERRIDE_BENCHMARKS: '1'
+      LOG_LEVEL: WARN
+    env_copy: []
+    config:
+      override_dirname:
+        kv_sep: '='
+        item_sep: ','
+        exclude_keys: []
+  runtime:
+    version: 1.3.2
+    version_base: '1.3'
+    cwd: /transformers
+    config_sources:
+    - path: hydra.conf
+      schema: pkg
+      provider: hydra
+    - path: optimum_benchmark
+      schema: pkg
+      provider: main
+    - path: /transformers/benchmark/config
+      schema: file
+      provider: command-line
+    - path: ''
+      schema: structured
+      provider: schema
+    output_dir: ???
+    choices:
+      backend: pytorch
+      launcher: process
+      scenario: inference
+      hydra/env: default
+      hydra/callbacks: null
+      hydra/job_logging: disabled
+      hydra/hydra_logging: disabled
+      hydra/hydra_help: default
+      hydra/help: default
+      hydra/sweeper: basic
+      hydra/launcher: basic
+      hydra/output: default
+  verbose: false
+name: pytorch_generate
+backend:
+  name: pytorch
+  version: 2.4.0+cu121
+  _target_: optimum_benchmark.backends.pytorch.backend.PyTorchBackend
+  task: null
+  library: null
+  model_type: null
+  model: google/gemma-2b
+  processor: null
+  device: cuda
+  device_ids: '0'
+  seed: 42
+  inter_op_num_threads: null
+  intra_op_num_threads: null
+  model_kwargs: {}
+  processor_kwargs: {}
+  no_weights: true
+  device_map: null
+  torch_dtype: float16
+  eval_mode: true
+  to_bettertransformer: false
+  low_cpu_mem_usage: null
+  attn_implementation: null
+  cache_implementation: static
+  autocast_enabled: false
+  autocast_dtype: null
+  torch_compile: true
+  torch_compile_target: forward
+  torch_compile_config:
+    backend: inductor
+    mode: reduce-overhead
+    fullgraph: true
+  quantization_scheme: null
+  quantization_config: {}
+  deepspeed_inference: false
+  deepspeed_inference_config: {}
+  peft_type: null
+  peft_config: {}
+scenario:
+  name: inference
+  _target_: optimum_benchmark.scenarios.inference.scenario.InferenceScenario
+  iterations: 2
+  duration: 0
+  warmup_runs: 10
+  input_shapes:
+    batch_size: 1
+    sequence_length: 7
+  new_tokens: null
+  memory: true
+  latency: true
+  energy: false
+  forward_kwargs: {}
+  generate_kwargs:
+    max_new_tokens: 128
+    min_new_tokens: 128
+    do_sample: false
+  call_kwargs: {}
+launcher:
+  name: process
+  _target_: optimum_benchmark.launchers.process.launcher.ProcessLauncher
+  device_isolation: true
+  device_isolation_action: warn
+  numactl: false
+  numactl_kwargs: {}
+  start_method: spawn
+environment:
+  cpu: ' AMD EPYC 7R32'
+  cpu_count: 16
+  cpu_ram_mb: 66697.261056
+  system: Linux
+  machine: x86_64
+  platform: Linux-5.10.223-211.872.amzn2.x86_64-x86_64-with-glibc2.29
+  processor: x86_64
+  python_version: 3.8.10
+  gpu:
+  - NVIDIA A10G
+  gpu_count: 1
+  gpu_vram_mb: 24146608128
+  optimum_benchmark_version: 0.4.0
+  optimum_benchmark_commit: null
+  transformers_version: 4.45.0.dev0
+  transformers_commit: d806fa3e92289876e01ab19c9e19e9264ea1c1a1
+  accelerate_version: 0.34.0.dev0
+  accelerate_commit: null
+  diffusers_version: null
+  diffusers_commit: null
+  optimum_version: 1.22.0.dev0
+  optimum_commit: null
+  timm_version: 0.9.16
+  timm_commit: null
+  peft_version: 0.12.1.dev0
+  peft_commit: null

2024-08-23/summaries.json

@@ -0,0 +1,41 @@
+[
+    {
+        "model": "google/gemma-2b",
+        "commit": "d806fa3e92289876e01ab19c9e19e9264ea1c1a1",
+        "config": "backend.cache_implementation=null,backend.torch_compile=False",
+        "metrics": {
+            "prefill.latency.mean": 0.020006303787231446,
+            "prefill.throughput.value": 349.8897184830106,
+            "decode.latency.mean": 2.476673583984375,
+            "decode.throughput.value": 51.27845704870296,
+            "per_token.latency.mean": 0.019500064234095296,
+            "per_token.throughput.value": 51.28188235665034
+        }
+    },
+    {
+        "model": "google/gemma-2b",
+        "commit": "d806fa3e92289876e01ab19c9e19e9264ea1c1a1",
+        "config": "backend.cache_implementation=static,backend.torch_compile=False",
+        "metrics": {
+            "prefill.latency.mean": 0.021566495895385743,
+            "prefill.throughput.value": 324.5775314615521,
+            "decode.latency.mean": 2.60439697265625,
+            "decode.throughput.value": 48.763687461390134,
+            "per_token.latency.mean": 0.020506019329461528,
+            "per_token.throughput.value": 48.76616879821595
+        }
+    },
+    {
+        "model": "google/gemma-2b",
+        "commit": "d806fa3e92289876e01ab19c9e19e9264ea1c1a1",
+        "config": "backend.cache_implementation=static,backend.torch_compile=True",
+        "metrics": {
+            "prefill.latency.mean": 0.014093887805938721,
+            "prefill.throughput.value": 496.669201315085,
+            "decode.latency.mean": 1.5648489379882813,
+            "decode.throughput.value": 81.15799353978989,
+            "per_token.latency.mean": 0.012320554320267805,
+            "per_token.throughput.value": 81.16517926104672
+        }
+    }
+]

2024-08-23/summary.json

@@ -0,0 +1,40 @@
+{
+    "google/gemma-2b": {
+        "backend.cache_implementation=null,backend.torch_compile=False": {
+            "d806fa3e92289876e01ab19c9e19e9264ea1c1a1": {
+                "metrics": {
+                    "prefill.latency.mean": 0.020006303787231446,
+                    "prefill.throughput.value": 349.8897184830106,
+                    "decode.latency.mean": 2.476673583984375,
+                    "decode.throughput.value": 51.27845704870296,
+                    "per_token.latency.mean": 0.019500064234095296,
+                    "per_token.throughput.value": 51.28188235665034
+                }
+            }
+        },
+        "backend.cache_implementation=static,backend.torch_compile=False": {
+            "d806fa3e92289876e01ab19c9e19e9264ea1c1a1": {
+                "metrics": {
+                    "prefill.latency.mean": 0.021566495895385743,
+                    "prefill.throughput.value": 324.5775314615521,
+                    "decode.latency.mean": 2.60439697265625,
+                    "decode.throughput.value": 48.763687461390134,
+                    "per_token.latency.mean": 0.020506019329461528,
+                    "per_token.throughput.value": 48.76616879821595
+                }
+            }
+        },
+        "backend.cache_implementation=static,backend.torch_compile=True": {
+            "d806fa3e92289876e01ab19c9e19e9264ea1c1a1": {
+                "metrics": {
+                    "prefill.latency.mean": 0.014093887805938721,
+                    "prefill.throughput.value": 496.669201315085,
+                    "decode.latency.mean": 1.5648489379882813,
+                    "decode.throughput.value": 81.15799353978989,
+                    "per_token.latency.mean": 0.012320554320267805,
+                    "per_token.throughput.value": 81.16517926104672
+                }
+            }
+        }
+    }
+}