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2024-06-05/commit=bd5091df8db7cea1a9f94f797fc11487f840ade1/backend.cache_implementation=null,backend.model=google/gemma-2b,backend.torch_compile=False/.hydra/config.yaml

@@ -0,0 +1,91 @@
+name: pytorch_generate
+backend:
+  name: pytorch
+  version: 2.3.0+cu121
+  _target_: optimum_benchmark.backends.pytorch.backend.PyTorchBackend
+  task: null
+  library: null
+  model: google/gemma-2b
+  processor: null
+  device: cuda
+  device_ids: '0'
+  seed: 42
+  inter_op_num_threads: null
+  intra_op_num_threads: null
+  model_kwargs: {}
+  processor_kwargs: {}
+  hub_kwargs: {}
+  no_weights: true
+  device_map: null
+  torch_dtype: float16
+  eval_mode: true
+  to_bettertransformer: false
+  low_cpu_mem_usage: null
+  attn_implementation: null
+  cache_implementation: null
+  autocast_enabled: false
+  autocast_dtype: null
+  torch_compile: false
+  torch_compile_target: forward
+  torch_compile_config:
+    backend: inductor
+    mode: reduce-overhead
+    fullgraph: true
+  quantization_scheme: null
+  quantization_config: {}
+  deepspeed_inference: false
+  deepspeed_inference_config: {}
+  peft_type: null
+  peft_config: {}
+scenario:
+  name: inference
+  _target_: optimum_benchmark.scenarios.inference.scenario.InferenceScenario
+  iterations: 2
+  duration: 0
+  warmup_runs: 10
+  input_shapes:
+    batch_size: 1
+    sequence_length: 7
+  new_tokens: null
+  latency: true
+  memory: true
+  energy: false
+  forward_kwargs: {}
+  generate_kwargs:
+    max_new_tokens: 128
+    min_new_tokens: 128
+    do_sample: false
+  call_kwargs: {}
+launcher:
+  name: process
+  _target_: optimum_benchmark.launchers.process.launcher.ProcessLauncher
+  device_isolation: true
+  device_isolation_action: warn
+  start_method: spawn
+environment:
+  cpu: ' AMD EPYC 7R32'
+  cpu_count: 16
+  cpu_ram_mb: 66697.29792
+  system: Linux
+  machine: x86_64
+  platform: Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.29
+  processor: x86_64
+  python_version: 3.8.10
+  gpu:
+  - NVIDIA A10G
+  gpu_count: 1
+  gpu_vram_mb: 24146608128
+  optimum_benchmark_version: 0.2.1
+  optimum_benchmark_commit: null
+  transformers_version: 4.42.0.dev0
+  transformers_commit: bd5091df8db7cea1a9f94f797fc11487f840ade1
+  accelerate_version: 0.31.0.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

2024-06-05/commit=bd5091df8db7cea1a9f94f797fc11487f840ade1/backend.cache_implementation=null,backend.model=google/gemma-2b,backend.torch_compile=False/.hydra/hydra.yaml

@@ -0,0 +1,141 @@
+hydra:
+  run:
+    dir: _benchmark/tmpjivn_1kh/commit=bd5091df8db7cea1a9f94f797fc11487f840ade1/${hydra.job.override_dirname}
+  sweep:
+    dir: _benchmark/tmpjivn_1kh/commit=bd5091df8db7cea1a9f94f797fc11487f840ade1
+    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)
+
+
+      $HYDRA_CONFIG_GROUPS
+
+
+      Use ''--cfg hydra'' to Show the Hydra config.
+
+      '
+    hydra_help: ???
+  hydra_logging:
+    version: 1
+    root:
+      level: ERROR
+    disable_existing_loggers: true
+  job_logging:
+    version: 1
+    root:
+      level: ERROR
+    disable_existing_loggers: true
+  env: {}
+  mode: MULTIRUN
+  searchpath: []
+  callbacks: {}
+  output_subdir: .hydra
+  overrides:
+    hydra:
+    - hydra/job_logging=disabled
+    - hydra/hydra_logging=disabled
+    - hydra.sweep.dir=_benchmark/tmpjivn_1kh/commit\=bd5091df8db7cea1a9f94f797fc11487f840ade1
+    - hydra.run.dir=_benchmark/tmpjivn_1kh/commit\=bd5091df8db7cea1a9f94f797fc11487f840ade1/${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/tmpjivn_1kh/commit=bd5091df8db7cea1a9f94f797fc11487f840ade1/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

2024-06-05/commit=bd5091df8db7cea1a9f94f797fc11487f840ade1/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

2024-06-05/commit=bd5091df8db7cea1a9f94f797fc11487f840ade1/backend.cache_implementation=null,backend.model=google/gemma-2b,backend.torch_compile=False/benchmark.json

@@ -0,0 +1,443 @@
+{
+    "config": {
+        "name": "pytorch_generate",
+        "backend": {
+            "name": "pytorch",
+            "version": "2.3.0+cu121",
+            "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
+            "task": "text-generation",
+            "library": "transformers",
+            "model": "google/gemma-2b",
+            "processor": "google/gemma-2b",
+            "device": "cuda",
+            "device_ids": "0",
+            "seed": 42,
+            "inter_op_num_threads": null,
+            "intra_op_num_threads": null,
+            "model_kwargs": {},
+            "processor_kwargs": {},
+            "hub_kwargs": {},
+            "no_weights": true,
+            "device_map": null,
+            "torch_dtype": "float16",
+            "eval_mode": true,
+            "to_bettertransformer": false,
+            "low_cpu_mem_usage": null,
+            "attn_implementation": null,
+            "cache_implementation": null,
+            "autocast_enabled": false,
+            "autocast_dtype": null,
+            "torch_compile": false,
+            "torch_compile_target": "forward",
+            "torch_compile_config": {
+                "backend": "inductor",
+                "mode": "reduce-overhead",
+                "fullgraph": true
+            },
+            "quantization_scheme": null,
+            "quantization_config": {},
+            "deepspeed_inference": false,
+            "deepspeed_inference_config": {},
+            "peft_type": null,
+            "peft_config": {}
+        },
+        "scenario": {
+            "name": "inference",
+            "_target_": "optimum_benchmark.scenarios.inference.scenario.InferenceScenario",
+            "iterations": 2,
+            "duration": 0,
+            "warmup_runs": 10,
+            "input_shapes": {
+                "batch_size": 1,
+                "num_choices": 2,
+                "sequence_length": 7
+            },
+            "new_tokens": null,
+            "latency": true,
+            "memory": true,
+            "energy": false,
+            "forward_kwargs": {},
+            "generate_kwargs": {
+                "max_new_tokens": 128,
+                "min_new_tokens": 128,
+                "do_sample": false
+            },
+            "call_kwargs": {}
+        },
+        "launcher": {
+            "name": "process",
+            "_target_": "optimum_benchmark.launchers.process.launcher.ProcessLauncher",
+            "device_isolation": true,
+            "device_isolation_action": "warn",
+            "start_method": "spawn"
+        },
+        "environment": {
+            "cpu": " AMD EPYC 7R32",
+            "cpu_count": 16,
+            "cpu_ram_mb": 66697.29792,
+            "system": "Linux",
+            "machine": "x86_64",
+            "platform": "Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.29",
+            "processor": "x86_64",
+            "python_version": "3.8.10",
+            "gpu": [
+                "NVIDIA A10G"
+            ],
+            "gpu_count": 1,
+            "gpu_vram_mb": 24146608128,
+            "optimum_benchmark_version": "0.2.1",
+            "optimum_benchmark_commit": null,
+            "transformers_version": "4.42.0.dev0",
+            "transformers_commit": "bd5091df8db7cea1a9f94f797fc11487f840ade1",
+            "accelerate_version": "0.31.0.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
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2024-06-05/commit=bd5091df8db7cea1a9f94f797fc11487f840ade1/backend.cache_implementation=null,backend.model=google/gemma-2b,backend.torch_compile=False/benchmark_config.json

@@ -0,0 +1,102 @@
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2024-06-05/commit=bd5091df8db7cea1a9f94f797fc11487f840ade1/backend.cache_implementation=null,backend.model=google/gemma-2b,backend.torch_compile=False/benchmark_report.json

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2024-06-05/commit=bd5091df8db7cea1a9f94f797fc11487f840ade1/backend.cache_implementation=null,backend.model=google/gemma-2b,backend.torch_compile=False/summary.json

@@ -0,0 +1,13 @@
+{
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+    "commit": "bd5091df8db7cea1a9f94f797fc11487f840ade1",
+    "config": "backend.cache_implementation=null,backend.torch_compile=False",
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+}

2024-06-05/commit=bd5091df8db7cea1a9f94f797fc11487f840ade1/backend.cache_implementation=null,backend.model=google/gemma-2b,backend.torch_compile=True/.hydra/config.yaml

@@ -0,0 +1,91 @@
+name: pytorch_generate
+backend:
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+  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
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+  autocast_enabled: false
+  autocast_dtype: null
+  torch_compile: true
+  torch_compile_target: forward
+  torch_compile_config:
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+    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:
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+  cpu_count: 16
+  cpu_ram_mb: 66697.29792
+  system: Linux
+  machine: x86_64
+  platform: Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.29
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+  gpu_count: 1
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+  optimum_benchmark_version: 0.2.1
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+  transformers_commit: bd5091df8db7cea1a9f94f797fc11487f840ade1
+  accelerate_version: 0.31.0.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

2024-06-05/commit=bd5091df8db7cea1a9f94f797fc11487f840ade1/backend.cache_implementation=null,backend.model=google/gemma-2b,backend.torch_compile=True/.hydra/hydra.yaml

@@ -0,0 +1,141 @@
+hydra:
+  run:
+    dir: _benchmark/tmpjivn_1kh/commit=bd5091df8db7cea1a9f94f797fc11487f840ade1/${hydra.job.override_dirname}
+  sweep:
+    dir: _benchmark/tmpjivn_1kh/commit=bd5091df8db7cea1a9f94f797fc11487f840ade1
+    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)
+
+
+      $HYDRA_CONFIG_GROUPS
+
+
+      Use ''--cfg hydra'' to Show the Hydra config.
+
+      '
+    hydra_help: ???
+  hydra_logging:
+    version: 1
+    root:
+      level: ERROR
+    disable_existing_loggers: true
+  job_logging:
+    version: 1
+    root:
+      level: ERROR
+    disable_existing_loggers: true
+  env: {}
+  mode: MULTIRUN
+  searchpath: []
+  callbacks: {}
+  output_subdir: .hydra
+  overrides:
+    hydra:
+    - hydra/job_logging=disabled
+    - hydra/hydra_logging=disabled
+    - hydra.sweep.dir=_benchmark/tmpjivn_1kh/commit\=bd5091df8db7cea1a9f94f797fc11487f840ade1
+    - hydra.run.dir=_benchmark/tmpjivn_1kh/commit\=bd5091df8db7cea1a9f94f797fc11487f840ade1/${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/tmpjivn_1kh/commit=bd5091df8db7cea1a9f94f797fc11487f840ade1/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

2024-06-05/commit=bd5091df8db7cea1a9f94f797fc11487f840ade1/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

2024-06-05/commit=bd5091df8db7cea1a9f94f797fc11487f840ade1/backend.cache_implementation=null,backend.model=google/gemma-2b,backend.torch_compile=True/benchmark.log

@@ -0,0 +1 @@
+[ISOLATED-PROCESS][2024-06-05 15:13:25,492][process][ERROR] - 	+ Sending traceback to main process

2024-06-05/commit=bd5091df8db7cea1a9f94f797fc11487f840ade1/backend.cache_implementation=null,backend.model=google/gemma-2b,backend.torch_compile=True/benchmark_config.json

@@ -0,0 +1,102 @@
+{
+    "name": "pytorch_generate",
+    "backend": {
+        "name": "pytorch",
+        "version": "2.3.0+cu121",
+        "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
+        "task": "text-generation",
+        "library": "transformers",
+        "model": "google/gemma-2b",
+        "processor": "google/gemma-2b",
+        "device": "cuda",
+        "device_ids": "0",
+        "seed": 42,
+        "inter_op_num_threads": null,
+        "intra_op_num_threads": null,
+        "model_kwargs": {},
+        "processor_kwargs": {},
+        "hub_kwargs": {},
+        "no_weights": true,
+        "device_map": null,
+        "torch_dtype": "float16",
+        "eval_mode": true,
+        "to_bettertransformer": false,
+        "low_cpu_mem_usage": null,
+        "attn_implementation": null,
+        "cache_implementation": null,
+        "autocast_enabled": false,
+        "autocast_dtype": null,
+        "torch_compile": true,
+        "torch_compile_target": "forward",
+        "torch_compile_config": {
+            "backend": "inductor",
+            "mode": "reduce-overhead",
+            "fullgraph": true
+        },
+        "quantization_scheme": null,
+        "quantization_config": {},
+        "deepspeed_inference": false,
+        "deepspeed_inference_config": {},
+        "peft_type": null,
+        "peft_config": {}
+    },
+    "scenario": {
+        "name": "inference",
+        "_target_": "optimum_benchmark.scenarios.inference.scenario.InferenceScenario",
+        "iterations": 2,
+        "duration": 0,
+        "warmup_runs": 10,
+        "input_shapes": {
+            "batch_size": 1,
+            "num_choices": 2,
+            "sequence_length": 7
+        },
+        "new_tokens": null,
+        "latency": true,
+        "memory": true,
+        "energy": false,
+        "forward_kwargs": {},
+        "generate_kwargs": {
+            "max_new_tokens": 128,
+            "min_new_tokens": 128,
+            "do_sample": false
+        },
+        "call_kwargs": {}
+    },
+    "launcher": {
+        "name": "process",
+        "_target_": "optimum_benchmark.launchers.process.launcher.ProcessLauncher",
+        "device_isolation": true,
+        "device_isolation_action": "warn",
+        "start_method": "spawn"
+    },
+    "environment": {
+        "cpu": " AMD EPYC 7R32",
+        "cpu_count": 16,
+        "cpu_ram_mb": 66697.29792,
+        "system": "Linux",
+        "machine": "x86_64",
+        "platform": "Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.29",
+        "processor": "x86_64",
+        "python_version": "3.8.10",
+        "gpu": [
+            "NVIDIA A10G"
+        ],
+        "gpu_count": 1,
+        "gpu_vram_mb": 24146608128,
+        "optimum_benchmark_version": "0.2.1",
+        "optimum_benchmark_commit": null,
+        "transformers_version": "4.42.0.dev0",
+        "transformers_commit": "bd5091df8db7cea1a9f94f797fc11487f840ade1",
+        "accelerate_version": "0.31.0.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
+    }
+}

2024-06-05/commit=bd5091df8db7cea1a9f94f797fc11487f840ade1/backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=False/.hydra/config.yaml

@@ -0,0 +1,91 @@
+name: pytorch_generate
+backend:
+  name: pytorch
+  version: 2.3.0+cu121
+  _target_: optimum_benchmark.backends.pytorch.backend.PyTorchBackend
+  task: null
+  library: null
+  model: google/gemma-2b
+  processor: null
+  device: cuda
+  device_ids: '0'
+  seed: 42
+  inter_op_num_threads: null
+  intra_op_num_threads: null
+  model_kwargs: {}
+  processor_kwargs: {}
+  hub_kwargs: {}
+  no_weights: true
+  device_map: null
+  torch_dtype: float16
+  eval_mode: true
+  to_bettertransformer: false
+  low_cpu_mem_usage: null
+  attn_implementation: null
+  cache_implementation: static
+  autocast_enabled: false
+  autocast_dtype: null
+  torch_compile: false
+  torch_compile_target: forward
+  torch_compile_config:
+    backend: inductor
+    mode: reduce-overhead
+    fullgraph: true
+  quantization_scheme: null
+  quantization_config: {}
+  deepspeed_inference: false
+  deepspeed_inference_config: {}
+  peft_type: null
+  peft_config: {}
+scenario:
+  name: inference
+  _target_: optimum_benchmark.scenarios.inference.scenario.InferenceScenario
+  iterations: 2
+  duration: 0
+  warmup_runs: 10
+  input_shapes:
+    batch_size: 1
+    sequence_length: 7
+  new_tokens: null
+  latency: true
+  memory: true
+  energy: false
+  forward_kwargs: {}
+  generate_kwargs:
+    max_new_tokens: 128
+    min_new_tokens: 128
+    do_sample: false
+  call_kwargs: {}
+launcher:
+  name: process
+  _target_: optimum_benchmark.launchers.process.launcher.ProcessLauncher
+  device_isolation: true
+  device_isolation_action: warn
+  start_method: spawn
+environment:
+  cpu: ' AMD EPYC 7R32'
+  cpu_count: 16
+  cpu_ram_mb: 66697.29792
+  system: Linux
+  machine: x86_64
+  platform: Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.29
+  processor: x86_64
+  python_version: 3.8.10
+  gpu:
+  - NVIDIA A10G
+  gpu_count: 1
+  gpu_vram_mb: 24146608128
+  optimum_benchmark_version: 0.2.1
+  optimum_benchmark_commit: null
+  transformers_version: 4.42.0.dev0
+  transformers_commit: bd5091df8db7cea1a9f94f797fc11487f840ade1
+  accelerate_version: 0.31.0.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

2024-06-05/commit=bd5091df8db7cea1a9f94f797fc11487f840ade1/backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=False/.hydra/hydra.yaml

@@ -0,0 +1,141 @@
+hydra:
+  run:
+    dir: _benchmark/tmpjivn_1kh/commit=bd5091df8db7cea1a9f94f797fc11487f840ade1/${hydra.job.override_dirname}
+  sweep:
+    dir: _benchmark/tmpjivn_1kh/commit=bd5091df8db7cea1a9f94f797fc11487f840ade1
+    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)
+
+
+      $HYDRA_CONFIG_GROUPS
+
+
+      Use ''--cfg hydra'' to Show the Hydra config.
+
+      '
+    hydra_help: ???
+  hydra_logging:
+    version: 1
+    root:
+      level: ERROR
+    disable_existing_loggers: true
+  job_logging:
+    version: 1
+    root:
+      level: ERROR
+    disable_existing_loggers: true
+  env: {}
+  mode: MULTIRUN
+  searchpath: []
+  callbacks: {}
+  output_subdir: .hydra
+  overrides:
+    hydra:
+    - hydra/job_logging=disabled
+    - hydra/hydra_logging=disabled
+    - hydra.sweep.dir=_benchmark/tmpjivn_1kh/commit\=bd5091df8db7cea1a9f94f797fc11487f840ade1
+    - hydra.run.dir=_benchmark/tmpjivn_1kh/commit\=bd5091df8db7cea1a9f94f797fc11487f840ade1/${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/tmpjivn_1kh/commit=bd5091df8db7cea1a9f94f797fc11487f840ade1/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

2024-06-05/commit=bd5091df8db7cea1a9f94f797fc11487f840ade1/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

2024-06-05/commit=bd5091df8db7cea1a9f94f797fc11487f840ade1/backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=False/benchmark.json

@@ -0,0 +1,443 @@
+{
+    "config": {
+        "name": "pytorch_generate",
+        "backend": {
+            "name": "pytorch",
+            "version": "2.3.0+cu121",
+            "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
+            "task": "text-generation",
+            "library": "transformers",
+            "model": "google/gemma-2b",
+            "processor": "google/gemma-2b",
+            "device": "cuda",
+            "device_ids": "0",
+            "seed": 42,
+            "inter_op_num_threads": null,
+            "intra_op_num_threads": null,
+            "model_kwargs": {},
+            "processor_kwargs": {},
+            "hub_kwargs": {},
+            "no_weights": true,
+            "device_map": null,
+            "torch_dtype": "float16",
+            "eval_mode": true,
+            "to_bettertransformer": false,
+            "low_cpu_mem_usage": null,
+            "attn_implementation": null,
+            "cache_implementation": "static",
+            "autocast_enabled": false,
+            "autocast_dtype": null,
+            "torch_compile": false,
+            "torch_compile_target": "forward",
+            "torch_compile_config": {
+                "backend": "inductor",
+                "mode": "reduce-overhead",
+                "fullgraph": true
+            },
+            "quantization_scheme": null,
+            "quantization_config": {},
+            "deepspeed_inference": false,
+            "deepspeed_inference_config": {},
+            "peft_type": null,
+            "peft_config": {}
+        },
+        "scenario": {
+            "name": "inference",
+            "_target_": "optimum_benchmark.scenarios.inference.scenario.InferenceScenario",
+            "iterations": 2,
+            "duration": 0,
+            "warmup_runs": 10,
+            "input_shapes": {
+                "batch_size": 1,
+                "num_choices": 2,
+                "sequence_length": 7
+            },
+            "new_tokens": null,
+            "latency": true,
+            "memory": true,
+            "energy": false,
+            "forward_kwargs": {},
+            "generate_kwargs": {
+                "max_new_tokens": 128,
+                "min_new_tokens": 128,
+                "do_sample": false
+            },
+            "call_kwargs": {}
+        },
+        "launcher": {
+            "name": "process",
+            "_target_": "optimum_benchmark.launchers.process.launcher.ProcessLauncher",
+            "device_isolation": true,
+            "device_isolation_action": "warn",
+            "start_method": "spawn"
+        },
+        "environment": {
+            "cpu": " AMD EPYC 7R32",
+            "cpu_count": 16,
+            "cpu_ram_mb": 66697.29792,
+            "system": "Linux",
+            "machine": "x86_64",
+            "platform": "Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.29",
+            "processor": "x86_64",
+            "python_version": "3.8.10",
+            "gpu": [
+                "NVIDIA A10G"
+            ],
+            "gpu_count": 1,
+            "gpu_vram_mb": 24146608128,
+            "optimum_benchmark_version": "0.2.1",
+            "optimum_benchmark_commit": null,
+            "transformers_version": "4.42.0.dev0",
+            "transformers_commit": "bd5091df8db7cea1a9f94f797fc11487f840ade1",
+            "accelerate_version": "0.31.0.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": 1777.160192,
+                "max_global_vram": 6793.199616,
+                "max_process_vram": 0.0,
+                "max_reserved": 6146.752512,
+                "max_allocated": 5036.936192
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+            "latency": {
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+                "count": 2,
+                "total": 0.04430672073364258,
+                "mean": 0.02215336036682129,
+                "stdev": 0.00032209587097167813,
+                "p50": 0.02215336036682129,
+                "p90": 0.02241103706359863,
+                "p95": 0.0224432466506958,
+                "p99": 0.022469014320373532,
+                "values": [
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+                    0.02183126449584961
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+            "throughput": {
+                "unit": "tokens/s",
+                "value": 315.97915097719357
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+            "energy": null,
+            "efficiency": null
+        },
+        "decode": {
+            "memory": {
+                "unit": "MB",
+                "max_ram": 1777.242112,
+                "max_global_vram": 6793.199616,
+                "max_process_vram": 0.0,
+                "max_reserved": 6146.752512,
+                "max_allocated": 5036.936704
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+                "unit": "s",
+                "count": 2,
+                "total": 5.13177685546875,
+                "mean": 2.565888427734375,
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2024-06-05/commit=bd5091df8db7cea1a9f94f797fc11487f840ade1/backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=False/benchmark_config.json

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2024-06-05/commit=bd5091df8db7cea1a9f94f797fc11487f840ade1/backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=False/benchmark_report.json

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+}

2024-06-05/commit=bd5091df8db7cea1a9f94f797fc11487f840ade1/backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=False/summary.json

@@ -0,0 +1,13 @@
+{
+    "model": "google/gemma-2b",
+    "commit": "bd5091df8db7cea1a9f94f797fc11487f840ade1",
+    "config": "backend.cache_implementation=static,backend.torch_compile=False",
+    "metrics": {
+        "prefill.latency.mean": 0.02215336036682129,
+        "prefill.throughput.value": 315.97915097719357,
+        "decode.latency.mean": 2.565888427734375,
+        "decode.throughput.value": 49.49552701796091,
+        "per_token.latency.mean": 0.020287751080961567,
+        "per_token.throughput.value": 49.29082558285231
+    }
+}

2024-06-05/commit=bd5091df8db7cea1a9f94f797fc11487f840ade1/backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=True/.hydra/config.yaml

@@ -0,0 +1,91 @@
+name: pytorch_generate
+backend:
+  name: pytorch
+  version: 2.3.0+cu121
+  _target_: optimum_benchmark.backends.pytorch.backend.PyTorchBackend
+  task: null
+  library: null
+  model: google/gemma-2b
+  processor: null
+  device: cuda
+  device_ids: '0'
+  seed: 42
+  inter_op_num_threads: null
+  intra_op_num_threads: null
+  model_kwargs: {}
+  processor_kwargs: {}
+  hub_kwargs: {}
+  no_weights: true
+  device_map: null
+  torch_dtype: float16
+  eval_mode: true
+  to_bettertransformer: false
+  low_cpu_mem_usage: null
+  attn_implementation: null
+  cache_implementation: static
+  autocast_enabled: false
+  autocast_dtype: null
+  torch_compile: true
+  torch_compile_target: forward
+  torch_compile_config:
+    backend: inductor
+    mode: reduce-overhead
+    fullgraph: true
+  quantization_scheme: null
+  quantization_config: {}
+  deepspeed_inference: false
+  deepspeed_inference_config: {}
+  peft_type: null
+  peft_config: {}
+scenario:
+  name: inference
+  _target_: optimum_benchmark.scenarios.inference.scenario.InferenceScenario
+  iterations: 2
+  duration: 0
+  warmup_runs: 10
+  input_shapes:
+    batch_size: 1
+    sequence_length: 7
+  new_tokens: null
+  latency: true
+  memory: true
+  energy: false
+  forward_kwargs: {}
+  generate_kwargs:
+    max_new_tokens: 128
+    min_new_tokens: 128
+    do_sample: false
+  call_kwargs: {}
+launcher:
+  name: process
+  _target_: optimum_benchmark.launchers.process.launcher.ProcessLauncher
+  device_isolation: true
+  device_isolation_action: warn
+  start_method: spawn
+environment:
+  cpu: ' AMD EPYC 7R32'
+  cpu_count: 16
+  cpu_ram_mb: 66697.29792
+  system: Linux
+  machine: x86_64
+  platform: Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.29
+  processor: x86_64
+  python_version: 3.8.10
+  gpu:
+  - NVIDIA A10G
+  gpu_count: 1
+  gpu_vram_mb: 24146608128
+  optimum_benchmark_version: 0.2.1
+  optimum_benchmark_commit: null
+  transformers_version: 4.42.0.dev0
+  transformers_commit: bd5091df8db7cea1a9f94f797fc11487f840ade1
+  accelerate_version: 0.31.0.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

2024-06-05/commit=bd5091df8db7cea1a9f94f797fc11487f840ade1/backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=True/.hydra/hydra.yaml

@@ -0,0 +1,141 @@
+hydra:
+  run:
+    dir: _benchmark/tmpjivn_1kh/commit=bd5091df8db7cea1a9f94f797fc11487f840ade1/${hydra.job.override_dirname}
+  sweep:
+    dir: _benchmark/tmpjivn_1kh/commit=bd5091df8db7cea1a9f94f797fc11487f840ade1
+    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)
+
+
+      $HYDRA_CONFIG_GROUPS
+
+
+      Use ''--cfg hydra'' to Show the Hydra config.
+
+      '
+    hydra_help: ???
+  hydra_logging:
+    version: 1
+    root:
+      level: ERROR
+    disable_existing_loggers: true
+  job_logging:
+    version: 1
+    root:
+      level: ERROR
+    disable_existing_loggers: true
+  env: {}
+  mode: MULTIRUN
+  searchpath: []
+  callbacks: {}
+  output_subdir: .hydra
+  overrides:
+    hydra:
+    - hydra/job_logging=disabled
+    - hydra/hydra_logging=disabled
+    - hydra.sweep.dir=_benchmark/tmpjivn_1kh/commit\=bd5091df8db7cea1a9f94f797fc11487f840ade1
+    - hydra.run.dir=_benchmark/tmpjivn_1kh/commit\=bd5091df8db7cea1a9f94f797fc11487f840ade1/${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/tmpjivn_1kh/commit=bd5091df8db7cea1a9f94f797fc11487f840ade1/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

2024-06-05/commit=bd5091df8db7cea1a9f94f797fc11487f840ade1/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

2024-06-05/commit=bd5091df8db7cea1a9f94f797fc11487f840ade1/backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=True/benchmark.json

@@ -0,0 +1,443 @@
+{
+    "config": {
+        "name": "pytorch_generate",
+        "backend": {
+            "name": "pytorch",
+            "version": "2.3.0+cu121",
+            "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
+            "task": "text-generation",
+            "library": "transformers",
+            "model": "google/gemma-2b",
+            "processor": "google/gemma-2b",
+            "device": "cuda",
+            "device_ids": "0",
+            "seed": 42,
+            "inter_op_num_threads": null,
+            "intra_op_num_threads": null,
+            "model_kwargs": {},
+            "processor_kwargs": {},
+            "hub_kwargs": {},
+            "no_weights": true,
+            "device_map": null,
+            "torch_dtype": "float16",
+            "eval_mode": true,
+            "to_bettertransformer": false,
+            "low_cpu_mem_usage": null,
+            "attn_implementation": null,
+            "cache_implementation": "static",
+            "autocast_enabled": false,
+            "autocast_dtype": null,
+            "torch_compile": true,
+            "torch_compile_target": "forward",
+            "torch_compile_config": {
+                "backend": "inductor",
+                "mode": "reduce-overhead",
+                "fullgraph": true
+            },
+            "quantization_scheme": null,
+            "quantization_config": {},
+            "deepspeed_inference": false,
+            "deepspeed_inference_config": {},
+            "peft_type": null,
+            "peft_config": {}
+        },
+        "scenario": {
+            "name": "inference",
+            "_target_": "optimum_benchmark.scenarios.inference.scenario.InferenceScenario",
+            "iterations": 2,
+            "duration": 0,
+            "warmup_runs": 10,
+            "input_shapes": {
+                "batch_size": 1,
+                "num_choices": 2,
+                "sequence_length": 7
+            },
+            "new_tokens": null,
+            "latency": true,
+            "memory": true,
+            "energy": false,
+            "forward_kwargs": {},
+            "generate_kwargs": {
+                "max_new_tokens": 128,
+                "min_new_tokens": 128,
+                "do_sample": false
+            },
+            "call_kwargs": {}
+        },
+        "launcher": {
+            "name": "process",
+            "_target_": "optimum_benchmark.launchers.process.launcher.ProcessLauncher",
+            "device_isolation": true,
+            "device_isolation_action": "warn",
+            "start_method": "spawn"
+        },
+        "environment": {
+            "cpu": " AMD EPYC 7R32",
+            "cpu_count": 16,
+            "cpu_ram_mb": 66697.29792,
+            "system": "Linux",
+            "machine": "x86_64",
+            "platform": "Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.29",
+            "processor": "x86_64",
+            "python_version": "3.8.10",
+            "gpu": [
+                "NVIDIA A10G"
+            ],
+            "gpu_count": 1,
+            "gpu_vram_mb": 24146608128,
+            "optimum_benchmark_version": "0.2.1",
+            "optimum_benchmark_commit": null,
+            "transformers_version": "4.42.0.dev0",
+            "transformers_commit": "bd5091df8db7cea1a9f94f797fc11487f840ade1",
+            "accelerate_version": "0.31.0.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": {
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2024-06-05/commit=bd5091df8db7cea1a9f94f797fc11487f840ade1/backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=True/benchmark_config.json

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2024-06-05/commit=bd5091df8db7cea1a9f94f797fc11487f840ade1/backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=True/benchmark_report.json

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+                0.012232704162597656,
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+                0.012236800193786621,
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+                0.012280832290649414,
+                0.012223487854003906,
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+                0.012222463607788087,
+                0.012264448165893555,
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+                0.012289024353027344,
+                0.012254207611083985,
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+                0.012237824440002442,
+                0.012299263954162597,
+                0.012254207611083985,
+                0.012267519950866699,
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+                0.012266495704650878,
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+                0.012277759552001954,
+                0.012228608131408691,
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+                0.012228608131408691,
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+                0.01222758388519287,
+                0.012266495704650878,
+                0.012237824440002442,
+                0.012291071891784668
+            ]
+        },
+        "throughput": {
+            "unit": "tokens/s",
+            "value": 80.36137122882384
+        },
+        "energy": null,
+        "efficiency": null
+    }
+}

2024-06-05/commit=bd5091df8db7cea1a9f94f797fc11487f840ade1/backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=True/summary.json

@@ -0,0 +1,13 @@
+{
+    "model": "google/gemma-2b",
+    "commit": "bd5091df8db7cea1a9f94f797fc11487f840ade1",
+    "config": "backend.cache_implementation=static,backend.torch_compile=True",
+    "metrics": {
+        "prefill.latency.mean": 0.014144016265869142,
+        "prefill.throughput.value": 494.9089331077529,
+        "decode.latency.mean": 1.5736651611328125,
+        "decode.throughput.value": 80.70331804802635,
+        "per_token.latency.mean": 0.012443789655512029,
+        "per_token.throughput.value": 80.36137122882384
+    }
+}

2024-06-05/commit=bd5091df8db7cea1a9f94f797fc11487f840ade1/multirun.yaml

@@ -0,0 +1,232 @@
+hydra:
+  run:
+    dir: _benchmark/tmpjivn_1kh/commit=bd5091df8db7cea1a9f94f797fc11487f840ade1/${hydra.job.override_dirname}
+  sweep:
+    dir: _benchmark/tmpjivn_1kh/commit=bd5091df8db7cea1a9f94f797fc11487f840ade1
+    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)
+
+
+      $HYDRA_CONFIG_GROUPS
+
+
+      Use ''--cfg hydra'' to Show the Hydra config.
+
+      '
+    hydra_help: ???
+  hydra_logging:
+    version: 1
+    root:
+      level: ERROR
+    disable_existing_loggers: true
+  job_logging:
+    version: 1
+    root:
+      level: ERROR
+    disable_existing_loggers: true
+  env: {}
+  mode: MULTIRUN
+  searchpath: []
+  callbacks: {}
+  output_subdir: .hydra
+  overrides:
+    hydra:
+    - hydra/job_logging=disabled
+    - hydra/hydra_logging=disabled
+    - hydra.sweep.dir=_benchmark/tmpjivn_1kh/commit\=bd5091df8db7cea1a9f94f797fc11487f840ade1
+    - hydra.run.dir=_benchmark/tmpjivn_1kh/commit\=bd5091df8db7cea1a9f94f797fc11487f840ade1/${hydra.job.override_dirname}
+    - hydra.mode=MULTIRUN
+    task:
+    - backend.model=google/gemma-2b
+    - backend.cache_implementation=null,static
+    - backend.torch_compile=false,true
+  job:
+    name: cli
+    chdir: true
+    override_dirname: backend.cache_implementation=null,static,backend.model=google/gemma-2b,backend.torch_compile=false,true
+    id: ???
+    num: ???
+    config_name: generation
+    env_set:
+      OVERRIDE_BENCHMARKS: '1'
+      LOG_LEVEL: WARN
+    env_copy: []
+    config:
+      override_dirname:
+        kv_sep: '='
+        item_sep: ','
+        exclude_keys: []
+  runtime:
+    version: 1.3.2
+    version_base: '1.3'
+    cwd: /transformers
+    config_sources:
+    - path: hydra.conf
+      schema: pkg
+      provider: hydra
+    - path: optimum_benchmark
+      schema: pkg
+      provider: main
+    - path: /transformers/benchmark/config
+      schema: file
+      provider: command-line
+    - path: ''
+      schema: structured
+      provider: schema
+    output_dir: ???
+    choices:
+      backend: pytorch
+      launcher: process
+      scenario: inference
+      hydra/env: default
+      hydra/callbacks: null
+      hydra/job_logging: disabled
+      hydra/hydra_logging: disabled
+      hydra/hydra_help: default
+      hydra/help: default
+      hydra/sweeper: basic
+      hydra/launcher: basic
+      hydra/output: default
+  verbose: false
+name: pytorch_generate
+backend:
+  name: pytorch
+  version: 2.3.0+cu121
+  _target_: optimum_benchmark.backends.pytorch.backend.PyTorchBackend
+  task: null
+  library: null
+  model: google/gemma-2b
+  processor: null
+  device: cuda
+  device_ids: '0'
+  seed: 42
+  inter_op_num_threads: null
+  intra_op_num_threads: null
+  model_kwargs: {}
+  processor_kwargs: {}
+  hub_kwargs: {}
+  no_weights: true
+  device_map: null
+  torch_dtype: float16
+  eval_mode: true
+  to_bettertransformer: false
+  low_cpu_mem_usage: null
+  attn_implementation: null
+  cache_implementation: static
+  autocast_enabled: false
+  autocast_dtype: null
+  torch_compile: true
+  torch_compile_target: forward
+  torch_compile_config:
+    backend: inductor
+    mode: reduce-overhead
+    fullgraph: true
+  quantization_scheme: null
+  quantization_config: {}
+  deepspeed_inference: false
+  deepspeed_inference_config: {}
+  peft_type: null
+  peft_config: {}
+scenario:
+  name: inference
+  _target_: optimum_benchmark.scenarios.inference.scenario.InferenceScenario
+  iterations: 2
+  duration: 0
+  warmup_runs: 10
+  input_shapes:
+    batch_size: 1
+    sequence_length: 7
+  new_tokens: null
+  latency: true
+  memory: true
+  energy: false
+  forward_kwargs: {}
+  generate_kwargs:
+    max_new_tokens: 128
+    min_new_tokens: 128
+    do_sample: false
+  call_kwargs: {}
+launcher:
+  name: process
+  _target_: optimum_benchmark.launchers.process.launcher.ProcessLauncher
+  device_isolation: true
+  device_isolation_action: warn
+  start_method: spawn
+environment:
+  cpu: ' AMD EPYC 7R32'
+  cpu_count: 16
+  cpu_ram_mb: 66697.29792
+  system: Linux
+  machine: x86_64
+  platform: Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.29
+  processor: x86_64
+  python_version: 3.8.10
+  gpu:
+  - NVIDIA A10G
+  gpu_count: 1
+  gpu_vram_mb: 24146608128
+  optimum_benchmark_version: 0.2.1
+  optimum_benchmark_commit: null
+  transformers_version: 4.42.0.dev0
+  transformers_commit: bd5091df8db7cea1a9f94f797fc11487f840ade1
+  accelerate_version: 0.31.0.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

2024-06-05/summaries.json

@@ -1,41 +1,41 @@
 [
     {
         "model": "google/gemma-2b",
-        "commit": "f14d06e0bcaecb02c9a0075ce0c7379345d718bc",
+        "commit": "bd5091df8db7cea1a9f94f797fc11487f840ade1",
         "config": "backend.cache_implementation=null,backend.torch_compile=False",
         "metrics": {
-            "prefill.latency.mean": 0.022776783943176268,
-            "prefill.throughput.value": 307.3304825415065,
-            "decode.latency.mean": 2.443668212890625,
-            "decode.throughput.value": 51.97104882326525,
-            "per_token.latency.mean": 0.01931815664570322,
-            "per_token.throughput.value": 51.764773334231236
+            "prefill.latency.mean": 0.020133775711059572,
+            "prefill.throughput.value": 347.67447996129556,
+            "decode.latency.mean": 2.4417091064453125,
+            "decode.throughput.value": 52.0127478186331,
+            "per_token.latency.mean": 0.019298247371266484,
+            "per_token.throughput.value": 51.81817709979811
         }
     },
     {
         "model": "google/gemma-2b",
-        "commit": "f14d06e0bcaecb02c9a0075ce0c7379345d718bc",
+        "commit": "bd5091df8db7cea1a9f94f797fc11487f840ade1",
         "config": "backend.cache_implementation=static,backend.torch_compile=False",
         "metrics": {
-            "prefill.latency.mean": 0.02206830406188965,
-            "prefill.throughput.value": 317.1970070907483,
-            "decode.latency.mean": 2.59590380859375,
-            "decode.throughput.value": 48.92323035220565,
-            "per_token.latency.mean": 0.02052478912413827,
-            "per_token.throughput.value": 48.72157243379156
+            "prefill.latency.mean": 0.02215336036682129,
+            "prefill.throughput.value": 315.97915097719357,
+            "decode.latency.mean": 2.565888427734375,
+            "decode.throughput.value": 49.49552701796091,
+            "per_token.latency.mean": 0.020287751080961567,
+            "per_token.throughput.value": 49.29082558285231
         }
     },
     {
         "model": "google/gemma-2b",
-        "commit": "f14d06e0bcaecb02c9a0075ce0c7379345d718bc",
+        "commit": "bd5091df8db7cea1a9f94f797fc11487f840ade1",
         "config": "backend.cache_implementation=static,backend.torch_compile=True",
         "metrics": {
-            "prefill.latency.mean": 0.013985567569732666,
-            "prefill.throughput.value": 500.51597585136864,
-            "decode.latency.mean": 1.5596350097656249,
-            "decode.throughput.value": 81.42930827071201,
-            "per_token.latency.mean": 0.012332881980262724,
-            "per_token.throughput.value": 81.08404844872256
+            "prefill.latency.mean": 0.014144016265869142,
+            "prefill.throughput.value": 494.9089331077529,
+            "decode.latency.mean": 1.5736651611328125,
+            "decode.throughput.value": 80.70331804802635,
+            "per_token.latency.mean": 0.012443789655512029,
+            "per_token.throughput.value": 80.36137122882384
         }
     }
 ]

2024-06-05/summary.json

@@ -1,38 +1,38 @@
 {
     "google/gemma-2b": {
         "backend.cache_implementation=null,backend.torch_compile=False": {
-            "f14d06e0bcaecb02c9a0075ce0c7379345d718bc": {
+            "bd5091df8db7cea1a9f94f797fc11487f840ade1": {
                 "metrics": {
-                    "prefill.latency.mean": 0.022776783943176268,
-                    "prefill.throughput.value": 307.3304825415065,
-                    "decode.latency.mean": 2.443668212890625,
-                    "decode.throughput.value": 51.97104882326525,
-                    "per_token.latency.mean": 0.01931815664570322,
-                    "per_token.throughput.value": 51.764773334231236
+                    "prefill.latency.mean": 0.020133775711059572,
+                    "prefill.throughput.value": 347.67447996129556,
+                    "decode.latency.mean": 2.4417091064453125,
+                    "decode.throughput.value": 52.0127478186331,
+                    "per_token.latency.mean": 0.019298247371266484,
+                    "per_token.throughput.value": 51.81817709979811
                 }
             }
         },
         "backend.cache_implementation=static,backend.torch_compile=False": {
-            "f14d06e0bcaecb02c9a0075ce0c7379345d718bc": {
+            "bd5091df8db7cea1a9f94f797fc11487f840ade1": {
                 "metrics": {
-                    "prefill.latency.mean": 0.02206830406188965,
-                    "prefill.throughput.value": 317.1970070907483,
-                    "decode.latency.mean": 2.59590380859375,
-                    "decode.throughput.value": 48.92323035220565,
-                    "per_token.latency.mean": 0.02052478912413827,
-                    "per_token.throughput.value": 48.72157243379156
+                    "prefill.latency.mean": 0.02215336036682129,
+                    "prefill.throughput.value": 315.97915097719357,
+                    "decode.latency.mean": 2.565888427734375,
+                    "decode.throughput.value": 49.49552701796091,
+                    "per_token.latency.mean": 0.020287751080961567,
+                    "per_token.throughput.value": 49.29082558285231
                 }
             }
         },
         "backend.cache_implementation=static,backend.torch_compile=True": {
-            "f14d06e0bcaecb02c9a0075ce0c7379345d718bc": {
+            "bd5091df8db7cea1a9f94f797fc11487f840ade1": {
                 "metrics": {
-                    "prefill.latency.mean": 0.013985567569732666,
-                    "prefill.throughput.value": 500.51597585136864,
-                    "decode.latency.mean": 1.5596350097656249,
-                    "decode.throughput.value": 81.42930827071201,
-                    "per_token.latency.mean": 0.012332881980262724,
-                    "per_token.throughput.value": 81.08404844872256
+                    "prefill.latency.mean": 0.014144016265869142,
+                    "prefill.throughput.value": 494.9089331077529,
+                    "decode.latency.mean": 1.5736651611328125,
+                    "decode.throughput.value": 80.70331804802635,
+                    "per_token.latency.mean": 0.012443789655512029,
+                    "per_token.throughput.value": 80.36137122882384
                 }
             }
         }