hf-transformers-bot commited on
Commit
eb3dd77
1 Parent(s): a0abdd7

Upload folder using huggingface_hub

Browse files
Files changed (32) hide show
  1. 2024-08-28/commit=c35d2ccf5a5ebcab24a0b9da3cb2527b3ae565a0/backend.cache_implementation=null,backend.model=google/gemma-2b,backend.torch_compile=False/.hydra/config.yaml +93 -0
  2. 2024-08-28/commit=c35d2ccf5a5ebcab24a0b9da3cb2527b3ae565a0/backend.cache_implementation=null,backend.model=google/gemma-2b,backend.torch_compile=False/.hydra/hydra.yaml +141 -0
  3. 2024-08-28/commit=c35d2ccf5a5ebcab24a0b9da3cb2527b3ae565a0/backend.cache_implementation=null,backend.model=google/gemma-2b,backend.torch_compile=False/.hydra/overrides.yaml +3 -0
  4. 2024-08-28/commit=c35d2ccf5a5ebcab24a0b9da3cb2527b3ae565a0/backend.cache_implementation=null,backend.model=google/gemma-2b,backend.torch_compile=False/benchmark.json +473 -0
  5. 2024-08-28/commit=c35d2ccf5a5ebcab24a0b9da3cb2527b3ae565a0/backend.cache_implementation=null,backend.model=google/gemma-2b,backend.torch_compile=False/benchmark.log +0 -0
  6. 2024-08-28/commit=c35d2ccf5a5ebcab24a0b9da3cb2527b3ae565a0/backend.cache_implementation=null,backend.model=google/gemma-2b,backend.torch_compile=False/benchmark_config.json +104 -0
  7. 2024-08-28/commit=c35d2ccf5a5ebcab24a0b9da3cb2527b3ae565a0/backend.cache_implementation=null,backend.model=google/gemma-2b,backend.torch_compile=False/benchmark_report.json +367 -0
  8. 2024-08-28/commit=c35d2ccf5a5ebcab24a0b9da3cb2527b3ae565a0/backend.cache_implementation=null,backend.model=google/gemma-2b,backend.torch_compile=False/summary.json +13 -0
  9. 2024-08-28/commit=c35d2ccf5a5ebcab24a0b9da3cb2527b3ae565a0/backend.cache_implementation=null,backend.model=google/gemma-2b,backend.torch_compile=True/.hydra/config.yaml +93 -0
  10. 2024-08-28/commit=c35d2ccf5a5ebcab24a0b9da3cb2527b3ae565a0/backend.cache_implementation=null,backend.model=google/gemma-2b,backend.torch_compile=True/.hydra/hydra.yaml +141 -0
  11. 2024-08-28/commit=c35d2ccf5a5ebcab24a0b9da3cb2527b3ae565a0/backend.cache_implementation=null,backend.model=google/gemma-2b,backend.torch_compile=True/.hydra/overrides.yaml +3 -0
  12. 2024-08-28/commit=c35d2ccf5a5ebcab24a0b9da3cb2527b3ae565a0/backend.cache_implementation=null,backend.model=google/gemma-2b,backend.torch_compile=True/benchmark.log +2 -0
  13. 2024-08-28/commit=c35d2ccf5a5ebcab24a0b9da3cb2527b3ae565a0/backend.cache_implementation=null,backend.model=google/gemma-2b,backend.torch_compile=True/benchmark_config.json +104 -0
  14. 2024-08-28/commit=c35d2ccf5a5ebcab24a0b9da3cb2527b3ae565a0/backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=False/.hydra/config.yaml +93 -0
  15. 2024-08-28/commit=c35d2ccf5a5ebcab24a0b9da3cb2527b3ae565a0/backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=False/.hydra/hydra.yaml +141 -0
  16. 2024-08-28/commit=c35d2ccf5a5ebcab24a0b9da3cb2527b3ae565a0/backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=False/.hydra/overrides.yaml +3 -0
  17. 2024-08-28/commit=c35d2ccf5a5ebcab24a0b9da3cb2527b3ae565a0/backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=False/benchmark.json +473 -0
  18. 2024-08-28/commit=c35d2ccf5a5ebcab24a0b9da3cb2527b3ae565a0/backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=False/benchmark.log +0 -0
  19. 2024-08-28/commit=c35d2ccf5a5ebcab24a0b9da3cb2527b3ae565a0/backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=False/benchmark_config.json +104 -0
  20. 2024-08-28/commit=c35d2ccf5a5ebcab24a0b9da3cb2527b3ae565a0/backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=False/benchmark_report.json +367 -0
  21. 2024-08-28/commit=c35d2ccf5a5ebcab24a0b9da3cb2527b3ae565a0/backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=False/summary.json +13 -0
  22. 2024-08-28/commit=c35d2ccf5a5ebcab24a0b9da3cb2527b3ae565a0/backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=True/.hydra/config.yaml +93 -0
  23. 2024-08-28/commit=c35d2ccf5a5ebcab24a0b9da3cb2527b3ae565a0/backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=True/.hydra/hydra.yaml +141 -0
  24. 2024-08-28/commit=c35d2ccf5a5ebcab24a0b9da3cb2527b3ae565a0/backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=True/.hydra/overrides.yaml +3 -0
  25. 2024-08-28/commit=c35d2ccf5a5ebcab24a0b9da3cb2527b3ae565a0/backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=True/benchmark.json +473 -0
  26. 2024-08-28/commit=c35d2ccf5a5ebcab24a0b9da3cb2527b3ae565a0/backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=True/benchmark.log +0 -0
  27. 2024-08-28/commit=c35d2ccf5a5ebcab24a0b9da3cb2527b3ae565a0/backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=True/benchmark_config.json +104 -0
  28. 2024-08-28/commit=c35d2ccf5a5ebcab24a0b9da3cb2527b3ae565a0/backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=True/benchmark_report.json +367 -0
  29. 2024-08-28/commit=c35d2ccf5a5ebcab24a0b9da3cb2527b3ae565a0/backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=True/summary.json +13 -0
  30. 2024-08-28/commit=c35d2ccf5a5ebcab24a0b9da3cb2527b3ae565a0/multirun.yaml +234 -0
  31. 2024-08-28/summaries.json +41 -0
  32. 2024-08-28/summary.json +40 -0
2024-08-28/commit=c35d2ccf5a5ebcab24a0b9da3cb2527b3ae565a0/backend.cache_implementation=null,backend.model=google/gemma-2b,backend.torch_compile=False/.hydra/config.yaml ADDED
@@ -0,0 +1,93 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ name: pytorch_generate
2
+ backend:
3
+ name: pytorch
4
+ version: 2.4.0+cu121
5
+ _target_: optimum_benchmark.backends.pytorch.backend.PyTorchBackend
6
+ task: null
7
+ library: null
8
+ model_type: null
9
+ model: google/gemma-2b
10
+ processor: null
11
+ device: cuda
12
+ device_ids: '0'
13
+ seed: 42
14
+ inter_op_num_threads: null
15
+ intra_op_num_threads: null
16
+ model_kwargs: {}
17
+ processor_kwargs: {}
18
+ no_weights: true
19
+ device_map: null
20
+ torch_dtype: float16
21
+ eval_mode: true
22
+ to_bettertransformer: false
23
+ low_cpu_mem_usage: null
24
+ attn_implementation: null
25
+ cache_implementation: null
26
+ autocast_enabled: false
27
+ autocast_dtype: null
28
+ torch_compile: false
29
+ torch_compile_target: forward
30
+ torch_compile_config:
31
+ backend: inductor
32
+ mode: reduce-overhead
33
+ fullgraph: true
34
+ quantization_scheme: null
35
+ quantization_config: {}
36
+ deepspeed_inference: false
37
+ deepspeed_inference_config: {}
38
+ peft_type: null
39
+ peft_config: {}
40
+ scenario:
41
+ name: inference
42
+ _target_: optimum_benchmark.scenarios.inference.scenario.InferenceScenario
43
+ iterations: 2
44
+ duration: 0
45
+ warmup_runs: 10
46
+ input_shapes:
47
+ batch_size: 1
48
+ sequence_length: 7
49
+ new_tokens: null
50
+ memory: true
51
+ latency: true
52
+ energy: false
53
+ forward_kwargs: {}
54
+ generate_kwargs:
55
+ max_new_tokens: 128
56
+ min_new_tokens: 128
57
+ do_sample: false
58
+ call_kwargs: {}
59
+ launcher:
60
+ name: process
61
+ _target_: optimum_benchmark.launchers.process.launcher.ProcessLauncher
62
+ device_isolation: true
63
+ device_isolation_action: warn
64
+ numactl: false
65
+ numactl_kwargs: {}
66
+ start_method: spawn
67
+ environment:
68
+ cpu: ' AMD EPYC 7R32'
69
+ cpu_count: 16
70
+ cpu_ram_mb: 66697.261056
71
+ system: Linux
72
+ machine: x86_64
73
+ platform: Linux-5.10.223-211.872.amzn2.x86_64-x86_64-with-glibc2.29
74
+ processor: x86_64
75
+ python_version: 3.8.10
76
+ gpu:
77
+ - NVIDIA A10G
78
+ gpu_count: 1
79
+ gpu_vram_mb: 24146608128
80
+ optimum_benchmark_version: 0.4.0
81
+ optimum_benchmark_commit: null
82
+ transformers_version: 4.45.0.dev0
83
+ transformers_commit: c35d2ccf5a5ebcab24a0b9da3cb2527b3ae565a0
84
+ accelerate_version: 0.34.0.dev0
85
+ accelerate_commit: null
86
+ diffusers_version: null
87
+ diffusers_commit: null
88
+ optimum_version: 1.22.0.dev0
89
+ optimum_commit: null
90
+ timm_version: 0.9.16
91
+ timm_commit: null
92
+ peft_version: 0.12.1.dev0
93
+ peft_commit: null
2024-08-28/commit=c35d2ccf5a5ebcab24a0b9da3cb2527b3ae565a0/backend.cache_implementation=null,backend.model=google/gemma-2b,backend.torch_compile=False/.hydra/hydra.yaml ADDED
@@ -0,0 +1,141 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ hydra:
2
+ run:
3
+ dir: _benchmark/tmphb_ugmdi/commit=c35d2ccf5a5ebcab24a0b9da3cb2527b3ae565a0/${hydra.job.override_dirname}
4
+ sweep:
5
+ dir: _benchmark/tmphb_ugmdi/commit=c35d2ccf5a5ebcab24a0b9da3cb2527b3ae565a0
6
+ subdir: ${hydra.job.override_dirname}
7
+ launcher:
8
+ _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher
9
+ sweeper:
10
+ _target_: hydra._internal.core_plugins.basic_sweeper.BasicSweeper
11
+ max_batch_size: null
12
+ params: null
13
+ help:
14
+ app_name: ${hydra.job.name}
15
+ header: '${hydra.help.app_name} is powered by Hydra.
16
+
17
+ '
18
+ footer: 'Powered by Hydra (https://hydra.cc)
19
+
20
+ Use --hydra-help to view Hydra specific help
21
+
22
+ '
23
+ template: '${hydra.help.header}
24
+
25
+ == Configuration groups ==
26
+
27
+ Compose your configuration from those groups (group=option)
28
+
29
+
30
+ $APP_CONFIG_GROUPS
31
+
32
+
33
+ == Config ==
34
+
35
+ Override anything in the config (foo.bar=value)
36
+
37
+
38
+ $CONFIG
39
+
40
+
41
+ ${hydra.help.footer}
42
+
43
+ '
44
+ hydra_help:
45
+ template: 'Hydra (${hydra.runtime.version})
46
+
47
+ See https://hydra.cc for more info.
48
+
49
+
50
+ == Flags ==
51
+
52
+ $FLAGS_HELP
53
+
54
+
55
+ == Configuration groups ==
56
+
57
+ Compose your configuration from those groups (For example, append hydra/job_logging=disabled
58
+ to command line)
59
+
60
+
61
+ $HYDRA_CONFIG_GROUPS
62
+
63
+
64
+ Use ''--cfg hydra'' to Show the Hydra config.
65
+
66
+ '
67
+ hydra_help: ???
68
+ hydra_logging:
69
+ version: 1
70
+ root:
71
+ level: ERROR
72
+ disable_existing_loggers: true
73
+ job_logging:
74
+ version: 1
75
+ root:
76
+ level: ERROR
77
+ disable_existing_loggers: true
78
+ env: {}
79
+ mode: MULTIRUN
80
+ searchpath: []
81
+ callbacks: {}
82
+ output_subdir: .hydra
83
+ overrides:
84
+ hydra:
85
+ - hydra/job_logging=disabled
86
+ - hydra/hydra_logging=disabled
87
+ - hydra.sweep.dir=_benchmark/tmphb_ugmdi/commit\=c35d2ccf5a5ebcab24a0b9da3cb2527b3ae565a0
88
+ - hydra.run.dir=_benchmark/tmphb_ugmdi/commit\=c35d2ccf5a5ebcab24a0b9da3cb2527b3ae565a0/${hydra.job.override_dirname}
89
+ - hydra.mode=MULTIRUN
90
+ task:
91
+ - backend.model=google/gemma-2b
92
+ - backend.cache_implementation=null
93
+ - backend.torch_compile=False
94
+ job:
95
+ name: cli
96
+ chdir: true
97
+ override_dirname: backend.cache_implementation=null,backend.model=google/gemma-2b,backend.torch_compile=False
98
+ id: '0'
99
+ num: 0
100
+ config_name: generation
101
+ env_set:
102
+ OVERRIDE_BENCHMARKS: '1'
103
+ LOG_LEVEL: WARN
104
+ env_copy: []
105
+ config:
106
+ override_dirname:
107
+ kv_sep: '='
108
+ item_sep: ','
109
+ exclude_keys: []
110
+ runtime:
111
+ version: 1.3.2
112
+ version_base: '1.3'
113
+ cwd: /transformers
114
+ config_sources:
115
+ - path: hydra.conf
116
+ schema: pkg
117
+ provider: hydra
118
+ - path: optimum_benchmark
119
+ schema: pkg
120
+ provider: main
121
+ - path: /transformers/benchmark/config
122
+ schema: file
123
+ provider: command-line
124
+ - path: ''
125
+ schema: structured
126
+ provider: schema
127
+ output_dir: /transformers/_benchmark/tmphb_ugmdi/commit=c35d2ccf5a5ebcab24a0b9da3cb2527b3ae565a0/backend.cache_implementation=null,backend.model=google/gemma-2b,backend.torch_compile=False
128
+ choices:
129
+ backend: pytorch
130
+ launcher: process
131
+ scenario: inference
132
+ hydra/env: default
133
+ hydra/callbacks: null
134
+ hydra/job_logging: disabled
135
+ hydra/hydra_logging: disabled
136
+ hydra/hydra_help: default
137
+ hydra/help: default
138
+ hydra/sweeper: basic
139
+ hydra/launcher: basic
140
+ hydra/output: default
141
+ verbose: false
2024-08-28/commit=c35d2ccf5a5ebcab24a0b9da3cb2527b3ae565a0/backend.cache_implementation=null,backend.model=google/gemma-2b,backend.torch_compile=False/.hydra/overrides.yaml ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ - backend.model=google/gemma-2b
2
+ - backend.cache_implementation=null
3
+ - backend.torch_compile=False
2024-08-28/commit=c35d2ccf5a5ebcab24a0b9da3cb2527b3ae565a0/backend.cache_implementation=null,backend.model=google/gemma-2b,backend.torch_compile=False/benchmark.json ADDED
@@ -0,0 +1,473 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "config": {
3
+ "name": "pytorch_generate",
4
+ "backend": {
5
+ "name": "pytorch",
6
+ "version": "2.4.0+cu121",
7
+ "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
8
+ "task": "text-generation",
9
+ "library": "transformers",
10
+ "model_type": "gemma",
11
+ "model": "google/gemma-2b",
12
+ "processor": "google/gemma-2b",
13
+ "device": "cuda",
14
+ "device_ids": "0",
15
+ "seed": 42,
16
+ "inter_op_num_threads": null,
17
+ "intra_op_num_threads": null,
18
+ "model_kwargs": {},
19
+ "processor_kwargs": {},
20
+ "no_weights": true,
21
+ "device_map": null,
22
+ "torch_dtype": "float16",
23
+ "eval_mode": true,
24
+ "to_bettertransformer": false,
25
+ "low_cpu_mem_usage": null,
26
+ "attn_implementation": null,
27
+ "cache_implementation": null,
28
+ "autocast_enabled": false,
29
+ "autocast_dtype": null,
30
+ "torch_compile": false,
31
+ "torch_compile_target": "forward",
32
+ "torch_compile_config": {
33
+ "backend": "inductor",
34
+ "mode": "reduce-overhead",
35
+ "fullgraph": true
36
+ },
37
+ "quantization_scheme": null,
38
+ "quantization_config": {},
39
+ "deepspeed_inference": false,
40
+ "deepspeed_inference_config": {},
41
+ "peft_type": null,
42
+ "peft_config": {}
43
+ },
44
+ "scenario": {
45
+ "name": "inference",
46
+ "_target_": "optimum_benchmark.scenarios.inference.scenario.InferenceScenario",
47
+ "iterations": 2,
48
+ "duration": 0,
49
+ "warmup_runs": 10,
50
+ "input_shapes": {
51
+ "batch_size": 1,
52
+ "num_choices": 2,
53
+ "sequence_length": 7
54
+ },
55
+ "new_tokens": null,
56
+ "memory": true,
57
+ "latency": true,
58
+ "energy": false,
59
+ "forward_kwargs": {},
60
+ "generate_kwargs": {
61
+ "max_new_tokens": 128,
62
+ "min_new_tokens": 128,
63
+ "do_sample": false
64
+ },
65
+ "call_kwargs": {}
66
+ },
67
+ "launcher": {
68
+ "name": "process",
69
+ "_target_": "optimum_benchmark.launchers.process.launcher.ProcessLauncher",
70
+ "device_isolation": true,
71
+ "device_isolation_action": "warn",
72
+ "numactl": false,
73
+ "numactl_kwargs": {},
74
+ "start_method": "spawn"
75
+ },
76
+ "environment": {
77
+ "cpu": " AMD EPYC 7R32",
78
+ "cpu_count": 16,
79
+ "cpu_ram_mb": 66697.261056,
80
+ "system": "Linux",
81
+ "machine": "x86_64",
82
+ "platform": "Linux-5.10.223-211.872.amzn2.x86_64-x86_64-with-glibc2.29",
83
+ "processor": "x86_64",
84
+ "python_version": "3.8.10",
85
+ "gpu": [
86
+ "NVIDIA A10G"
87
+ ],
88
+ "gpu_count": 1,
89
+ "gpu_vram_mb": 24146608128,
90
+ "optimum_benchmark_version": "0.4.0",
91
+ "optimum_benchmark_commit": null,
92
+ "transformers_version": "4.45.0.dev0",
93
+ "transformers_commit": "c35d2ccf5a5ebcab24a0b9da3cb2527b3ae565a0",
94
+ "accelerate_version": "0.34.0.dev0",
95
+ "accelerate_commit": null,
96
+ "diffusers_version": null,
97
+ "diffusers_commit": null,
98
+ "optimum_version": "1.22.0.dev0",
99
+ "optimum_commit": null,
100
+ "timm_version": "0.9.16",
101
+ "timm_commit": null,
102
+ "peft_version": "0.12.1.dev0",
103
+ "peft_commit": null
104
+ }
105
+ },
106
+ "report": {
107
+ "load": {
108
+ "memory": {
109
+ "unit": "MB",
110
+ "max_ram": 1319.727104,
111
+ "max_global_vram": 6768.033792,
112
+ "max_process_vram": 0.0,
113
+ "max_reserved": 6138.363904,
114
+ "max_allocated": 6060.931072
115
+ },
116
+ "latency": {
117
+ "unit": "s",
118
+ "count": 1,
119
+ "total": 11.6452119140625,
120
+ "mean": 11.6452119140625,
121
+ "stdev": 0.0,
122
+ "p50": 11.6452119140625,
123
+ "p90": 11.6452119140625,
124
+ "p95": 11.6452119140625,
125
+ "p99": 11.6452119140625,
126
+ "values": [
127
+ 11.6452119140625
128
+ ]
129
+ },
130
+ "throughput": null,
131
+ "energy": null,
132
+ "efficiency": null
133
+ },
134
+ "prefill": {
135
+ "memory": {
136
+ "unit": "MB",
137
+ "max_ram": 1727.623168,
138
+ "max_global_vram": 6789.005312,
139
+ "max_process_vram": 0.0,
140
+ "max_reserved": 6142.558208,
141
+ "max_allocated": 5028.431872
142
+ },
143
+ "latency": {
144
+ "unit": "s",
145
+ "count": 2,
146
+ "total": 0.0410248966217041,
147
+ "mean": 0.02051244831085205,
148
+ "stdev": 0.0001601285934448235,
149
+ "p50": 0.02051244831085205,
150
+ "p90": 0.02064055118560791,
151
+ "p95": 0.02065656404495239,
152
+ "p99": 0.02066937433242798,
153
+ "values": [
154
+ 0.020672576904296875,
155
+ 0.020352319717407228
156
+ ]
157
+ },
158
+ "throughput": {
159
+ "unit": "tokens/s",
160
+ "value": 341.25619204103833
161
+ },
162
+ "energy": null,
163
+ "efficiency": null
164
+ },
165
+ "decode": {
166
+ "memory": {
167
+ "unit": "MB",
168
+ "max_ram": 1781.73952,
169
+ "max_global_vram": 6793.199616,
170
+ "max_process_vram": 0.0,
171
+ "max_reserved": 6146.752512,
172
+ "max_allocated": 5031.801344
173
+ },
174
+ "latency": {
175
+ "unit": "s",
176
+ "count": 2,
177
+ "total": 4.854074951171874,
178
+ "mean": 2.427037475585937,
179
+ "stdev": 0.007338500976562523,
180
+ "p50": 2.427037475585937,
181
+ "p90": 2.4329082763671876,
182
+ "p95": 2.433642126464844,
183
+ "p99": 2.4342292065429687,
184
+ "values": [
185
+ 2.4343759765625,
186
+ 2.419698974609375
187
+ ]
188
+ },
189
+ "throughput": {
190
+ "unit": "tokens/s",
191
+ "value": 52.32716893641684
192
+ },
193
+ "energy": null,
194
+ "efficiency": null
195
+ },
196
+ "per_token": {
197
+ "memory": null,
198
+ "latency": {
199
+ "unit": "s",
200
+ "count": 254,
201
+ "total": 4.853752838134768,
202
+ "mean": 0.019109263142262856,
203
+ "stdev": 0.0003849158317246044,
204
+ "p50": 0.018977280616760253,
205
+ "p90": 0.01969879093170166,
206
+ "p95": 0.01979632558822632,
207
+ "p99": 0.02024316967010498,
208
+ "values": [
209
+ 0.018807807922363282,
210
+ 0.018766847610473633,
211
+ 0.019744768142700195,
212
+ 0.019538944244384765,
213
+ 0.019607551574707033,
214
+ 0.019668991088867188,
215
+ 0.01959321594238281,
216
+ 0.019597312927246095,
217
+ 0.019183616638183593,
218
+ 0.01962188720703125,
219
+ 0.018908159255981445,
220
+ 0.01883033561706543,
221
+ 0.018778112411499022,
222
+ 0.01884364891052246,
223
+ 0.018874368667602538,
224
+ 0.01887027168273926,
225
+ 0.019115007400512696,
226
+ 0.018903039932250978,
227
+ 0.018889728546142577,
228
+ 0.018860031127929687,
229
+ 0.01884876823425293,
230
+ 0.018863168716430664,
231
+ 0.022043584823608398,
232
+ 0.01967616081237793,
233
+ 0.018881536483764647,
234
+ 0.01885491180419922,
235
+ 0.01883750343322754,
236
+ 0.018967552185058592,
237
+ 0.018890752792358398,
238
+ 0.018903039932250978,
239
+ 0.018902015686035157,
240
+ 0.01928704071044922,
241
+ 0.01925324821472168,
242
+ 0.01962393569946289,
243
+ 0.019795967102050782,
244
+ 0.019529727935791014,
245
+ 0.019583999633789064,
246
+ 0.019566591262817384,
247
+ 0.018908159255981445,
248
+ 0.018967552185058592,
249
+ 0.018882560729980468,
250
+ 0.018811904907226562,
251
+ 0.01883852767944336,
252
+ 0.01883340835571289,
253
+ 0.01882521629333496,
254
+ 0.018817024230957033,
255
+ 0.018817024230957033,
256
+ 0.01882931137084961,
257
+ 0.018807807922363282,
258
+ 0.0188272647857666,
259
+ 0.01882521629333496,
260
+ 0.018883583068847656,
261
+ 0.01905561637878418,
262
+ 0.019174400329589843,
263
+ 0.019369983673095705,
264
+ 0.019611648559570313,
265
+ 0.019612672805786133,
266
+ 0.01972428894042969,
267
+ 0.019696640014648437,
268
+ 0.019749887466430666,
269
+ 0.019680255889892577,
270
+ 0.01902592086791992,
271
+ 0.01901875114440918,
272
+ 0.018971647262573242,
273
+ 0.018950143814086915,
274
+ 0.018960384368896483,
275
+ 0.01900032043457031,
276
+ 0.019021823883056642,
277
+ 0.020109312057495117,
278
+ 0.020158464431762696,
279
+ 0.02028441619873047,
280
+ 0.01987379264831543,
281
+ 0.019770368576049805,
282
+ 0.020084735870361328,
283
+ 0.01904640007019043,
284
+ 0.01903104019165039,
285
+ 0.01906073570251465,
286
+ 0.019076095581054688,
287
+ 0.019002368927001953,
288
+ 0.01900851249694824,
289
+ 0.0190248966217041,
290
+ 0.020409408569335936,
291
+ 0.019858367919921877,
292
+ 0.01899519920349121,
293
+ 0.018988031387329102,
294
+ 0.01900032043457031,
295
+ 0.018960384368896483,
296
+ 0.019005439758300782,
297
+ 0.018944000244140623,
298
+ 0.018938880920410156,
299
+ 0.01909350395202637,
300
+ 0.018988031387329102,
301
+ 0.018932735443115235,
302
+ 0.018970624923706055,
303
+ 0.018951168060302736,
304
+ 0.018927616119384767,
305
+ 0.019105791091918945,
306
+ 0.01901260757446289,
307
+ 0.018985984802246093,
308
+ 0.019264511108398438,
309
+ 0.018963520050048827,
310
+ 0.019079103469848632,
311
+ 0.018977792739868164,
312
+ 0.01898700714111328,
313
+ 0.018998271942138673,
314
+ 0.018969600677490234,
315
+ 0.019384319305419923,
316
+ 0.01922867202758789,
317
+ 0.01903104019165039,
318
+ 0.01900851249694824,
319
+ 0.019009536743164062,
320
+ 0.01900441551208496,
321
+ 0.018968576431274413,
322
+ 0.019079168319702147,
323
+ 0.018975744247436522,
324
+ 0.018929664611816405,
325
+ 0.018941951751708985,
326
+ 0.018940927505493164,
327
+ 0.019128320693969726,
328
+ 0.019014656066894533,
329
+ 0.018989055633544923,
330
+ 0.019013631820678712,
331
+ 0.019002368927001953,
332
+ 0.01897881507873535,
333
+ 0.018988031387329102,
334
+ 0.018963455200195312,
335
+ 0.01897881507873535,
336
+ 0.018808832168579103,
337
+ 0.018791423797607423,
338
+ 0.01878326416015625,
339
+ 0.018835424423217773,
340
+ 0.018817024230957033,
341
+ 0.01883647918701172,
342
+ 0.01880473518371582,
343
+ 0.01882931137084961,
344
+ 0.018970624923706055,
345
+ 0.018932735443115235,
346
+ 0.01878937530517578,
347
+ 0.018778112411499022,
348
+ 0.01884364891052246,
349
+ 0.019796991348266603,
350
+ 0.02010316848754883,
351
+ 0.019796991348266603,
352
+ 0.019603456497192383,
353
+ 0.019575807571411134,
354
+ 0.018881536483764647,
355
+ 0.018988031387329102,
356
+ 0.01879347229003906,
357
+ 0.018869247436523438,
358
+ 0.018889728546142577,
359
+ 0.018924543380737305,
360
+ 0.01901875114440918,
361
+ 0.01886617660522461,
362
+ 0.018922496795654296,
363
+ 0.018782207489013672,
364
+ 0.01882316780090332,
365
+ 0.018950143814086915,
366
+ 0.01906380844116211,
367
+ 0.018908159255981445,
368
+ 0.018955263137817382,
369
+ 0.019284992218017577,
370
+ 0.018852863311767578,
371
+ 0.019005439758300782,
372
+ 0.018808832168579103,
373
+ 0.018800640106201173,
374
+ 0.018799615859985352,
375
+ 0.01884979248046875,
376
+ 0.01884774398803711,
377
+ 0.01882624053955078,
378
+ 0.018919424057006837,
379
+ 0.018881536483764647,
380
+ 0.01883135986328125,
381
+ 0.01884876823425293,
382
+ 0.01881804847717285,
383
+ 0.01880268859863281,
384
+ 0.018844671249389648,
385
+ 0.01880166435241699,
386
+ 0.01882624053955078,
387
+ 0.01885491180419922,
388
+ 0.018811904907226562,
389
+ 0.01880678367614746,
390
+ 0.01884160041809082,
391
+ 0.01883750343322754,
392
+ 0.01880268859863281,
393
+ 0.018963455200195312,
394
+ 0.018923519134521484,
395
+ 0.018894847869873048,
396
+ 0.018935808181762694,
397
+ 0.018938880920410156,
398
+ 0.018950143814086915,
399
+ 0.018950143814086915,
400
+ 0.01943449592590332,
401
+ 0.019722240447998047,
402
+ 0.019710975646972655,
403
+ 0.019058687210083008,
404
+ 0.01903206443786621,
405
+ 0.019019775390625,
406
+ 0.018993152618408202,
407
+ 0.018993152618408202,
408
+ 0.018922496795654296,
409
+ 0.018965503692626954,
410
+ 0.018958335876464845,
411
+ 0.019009536743164062,
412
+ 0.018997247695922852,
413
+ 0.018903039932250978,
414
+ 0.018934783935546876,
415
+ 0.018949119567871094,
416
+ 0.0190515193939209,
417
+ 0.01899622344970703,
418
+ 0.018977792739868164,
419
+ 0.019133440017700197,
420
+ 0.01900032043457031,
421
+ 0.018974720001220705,
422
+ 0.018926591873168946,
423
+ 0.020206592559814454,
424
+ 0.019904512405395508,
425
+ 0.019042303085327148,
426
+ 0.018974720001220705,
427
+ 0.018961408615112304,
428
+ 0.01905254364013672,
429
+ 0.018993152618408202,
430
+ 0.018973695755004884,
431
+ 0.018956287384033203,
432
+ 0.019054592132568358,
433
+ 0.018967552185058592,
434
+ 0.018956287384033203,
435
+ 0.018981887817382814,
436
+ 0.018968576431274413,
437
+ 0.018960384368896483,
438
+ 0.01900032043457031,
439
+ 0.018972671508789063,
440
+ 0.01903001594543457,
441
+ 0.018962432861328125,
442
+ 0.019017728805541992,
443
+ 0.019136512756347656,
444
+ 0.018979839324951172,
445
+ 0.019203071594238282,
446
+ 0.019783679962158202,
447
+ 0.019739648818969727,
448
+ 0.019722240447998047,
449
+ 0.019768320083618163,
450
+ 0.019757055282592775,
451
+ 0.01962495994567871,
452
+ 0.0196997127532959,
453
+ 0.01899622344970703,
454
+ 0.018998271942138673,
455
+ 0.019115007400512696,
456
+ 0.018976768493652343,
457
+ 0.018969600677490234,
458
+ 0.018967552185058592,
459
+ 0.01899622344970703,
460
+ 0.01905971145629883,
461
+ 0.019273727416992188,
462
+ 0.01967411231994629
463
+ ]
464
+ },
465
+ "throughput": {
466
+ "unit": "tokens/s",
467
+ "value": 52.33064156138798
468
+ },
469
+ "energy": null,
470
+ "efficiency": null
471
+ }
472
+ }
473
+ }
2024-08-28/commit=c35d2ccf5a5ebcab24a0b9da3cb2527b3ae565a0/backend.cache_implementation=null,backend.model=google/gemma-2b,backend.torch_compile=False/benchmark.log ADDED
File without changes
2024-08-28/commit=c35d2ccf5a5ebcab24a0b9da3cb2527b3ae565a0/backend.cache_implementation=null,backend.model=google/gemma-2b,backend.torch_compile=False/benchmark_config.json ADDED
@@ -0,0 +1,104 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "name": "pytorch_generate",
3
+ "backend": {
4
+ "name": "pytorch",
5
+ "version": "2.4.0+cu121",
6
+ "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
7
+ "task": "text-generation",
8
+ "library": "transformers",
9
+ "model_type": "gemma",
10
+ "model": "google/gemma-2b",
11
+ "processor": "google/gemma-2b",
12
+ "device": "cuda",
13
+ "device_ids": "0",
14
+ "seed": 42,
15
+ "inter_op_num_threads": null,
16
+ "intra_op_num_threads": null,
17
+ "model_kwargs": {},
18
+ "processor_kwargs": {},
19
+ "no_weights": true,
20
+ "device_map": null,
21
+ "torch_dtype": "float16",
22
+ "eval_mode": true,
23
+ "to_bettertransformer": false,
24
+ "low_cpu_mem_usage": null,
25
+ "attn_implementation": null,
26
+ "cache_implementation": null,
27
+ "autocast_enabled": false,
28
+ "autocast_dtype": null,
29
+ "torch_compile": false,
30
+ "torch_compile_target": "forward",
31
+ "torch_compile_config": {
32
+ "backend": "inductor",
33
+ "mode": "reduce-overhead",
34
+ "fullgraph": true
35
+ },
36
+ "quantization_scheme": null,
37
+ "quantization_config": {},
38
+ "deepspeed_inference": false,
39
+ "deepspeed_inference_config": {},
40
+ "peft_type": null,
41
+ "peft_config": {}
42
+ },
43
+ "scenario": {
44
+ "name": "inference",
45
+ "_target_": "optimum_benchmark.scenarios.inference.scenario.InferenceScenario",
46
+ "iterations": 2,
47
+ "duration": 0,
48
+ "warmup_runs": 10,
49
+ "input_shapes": {
50
+ "batch_size": 1,
51
+ "num_choices": 2,
52
+ "sequence_length": 7
53
+ },
54
+ "new_tokens": null,
55
+ "memory": true,
56
+ "latency": true,
57
+ "energy": false,
58
+ "forward_kwargs": {},
59
+ "generate_kwargs": {
60
+ "max_new_tokens": 128,
61
+ "min_new_tokens": 128,
62
+ "do_sample": false
63
+ },
64
+ "call_kwargs": {}
65
+ },
66
+ "launcher": {
67
+ "name": "process",
68
+ "_target_": "optimum_benchmark.launchers.process.launcher.ProcessLauncher",
69
+ "device_isolation": true,
70
+ "device_isolation_action": "warn",
71
+ "numactl": false,
72
+ "numactl_kwargs": {},
73
+ "start_method": "spawn"
74
+ },
75
+ "environment": {
76
+ "cpu": " AMD EPYC 7R32",
77
+ "cpu_count": 16,
78
+ "cpu_ram_mb": 66697.261056,
79
+ "system": "Linux",
80
+ "machine": "x86_64",
81
+ "platform": "Linux-5.10.223-211.872.amzn2.x86_64-x86_64-with-glibc2.29",
82
+ "processor": "x86_64",
83
+ "python_version": "3.8.10",
84
+ "gpu": [
85
+ "NVIDIA A10G"
86
+ ],
87
+ "gpu_count": 1,
88
+ "gpu_vram_mb": 24146608128,
89
+ "optimum_benchmark_version": "0.4.0",
90
+ "optimum_benchmark_commit": null,
91
+ "transformers_version": "4.45.0.dev0",
92
+ "transformers_commit": "c35d2ccf5a5ebcab24a0b9da3cb2527b3ae565a0",
93
+ "accelerate_version": "0.34.0.dev0",
94
+ "accelerate_commit": null,
95
+ "diffusers_version": null,
96
+ "diffusers_commit": null,
97
+ "optimum_version": "1.22.0.dev0",
98
+ "optimum_commit": null,
99
+ "timm_version": "0.9.16",
100
+ "timm_commit": null,
101
+ "peft_version": "0.12.1.dev0",
102
+ "peft_commit": null
103
+ }
104
+ }
2024-08-28/commit=c35d2ccf5a5ebcab24a0b9da3cb2527b3ae565a0/backend.cache_implementation=null,backend.model=google/gemma-2b,backend.torch_compile=False/benchmark_report.json ADDED
@@ -0,0 +1,367 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "load": {
3
+ "memory": {
4
+ "unit": "MB",
5
+ "max_ram": 1319.727104,
6
+ "max_global_vram": 6768.033792,
7
+ "max_process_vram": 0.0,
8
+ "max_reserved": 6138.363904,
9
+ "max_allocated": 6060.931072
10
+ },
11
+ "latency": {
12
+ "unit": "s",
13
+ "count": 1,
14
+ "total": 11.6452119140625,
15
+ "mean": 11.6452119140625,
16
+ "stdev": 0.0,
17
+ "p50": 11.6452119140625,
18
+ "p90": 11.6452119140625,
19
+ "p95": 11.6452119140625,
20
+ "p99": 11.6452119140625,
21
+ "values": [
22
+ 11.6452119140625
23
+ ]
24
+ },
25
+ "throughput": null,
26
+ "energy": null,
27
+ "efficiency": null
28
+ },
29
+ "prefill": {
30
+ "memory": {
31
+ "unit": "MB",
32
+ "max_ram": 1727.623168,
33
+ "max_global_vram": 6789.005312,
34
+ "max_process_vram": 0.0,
35
+ "max_reserved": 6142.558208,
36
+ "max_allocated": 5028.431872
37
+ },
38
+ "latency": {
39
+ "unit": "s",
40
+ "count": 2,
41
+ "total": 0.0410248966217041,
42
+ "mean": 0.02051244831085205,
43
+ "stdev": 0.0001601285934448235,
44
+ "p50": 0.02051244831085205,
45
+ "p90": 0.02064055118560791,
46
+ "p95": 0.02065656404495239,
47
+ "p99": 0.02066937433242798,
48
+ "values": [
49
+ 0.020672576904296875,
50
+ 0.020352319717407228
51
+ ]
52
+ },
53
+ "throughput": {
54
+ "unit": "tokens/s",
55
+ "value": 341.25619204103833
56
+ },
57
+ "energy": null,
58
+ "efficiency": null
59
+ },
60
+ "decode": {
61
+ "memory": {
62
+ "unit": "MB",
63
+ "max_ram": 1781.73952,
64
+ "max_global_vram": 6793.199616,
65
+ "max_process_vram": 0.0,
66
+ "max_reserved": 6146.752512,
67
+ "max_allocated": 5031.801344
68
+ },
69
+ "latency": {
70
+ "unit": "s",
71
+ "count": 2,
72
+ "total": 4.854074951171874,
73
+ "mean": 2.427037475585937,
74
+ "stdev": 0.007338500976562523,
75
+ "p50": 2.427037475585937,
76
+ "p90": 2.4329082763671876,
77
+ "p95": 2.433642126464844,
78
+ "p99": 2.4342292065429687,
79
+ "values": [
80
+ 2.4343759765625,
81
+ 2.419698974609375
82
+ ]
83
+ },
84
+ "throughput": {
85
+ "unit": "tokens/s",
86
+ "value": 52.32716893641684
87
+ },
88
+ "energy": null,
89
+ "efficiency": null
90
+ },
91
+ "per_token": {
92
+ "memory": null,
93
+ "latency": {
94
+ "unit": "s",
95
+ "count": 254,
96
+ "total": 4.853752838134768,
97
+ "mean": 0.019109263142262856,
98
+ "stdev": 0.0003849158317246044,
99
+ "p50": 0.018977280616760253,
100
+ "p90": 0.01969879093170166,
101
+ "p95": 0.01979632558822632,
102
+ "p99": 0.02024316967010498,
103
+ "values": [
104
+ 0.018807807922363282,
105
+ 0.018766847610473633,
106
+ 0.019744768142700195,
107
+ 0.019538944244384765,
108
+ 0.019607551574707033,
109
+ 0.019668991088867188,
110
+ 0.01959321594238281,
111
+ 0.019597312927246095,
112
+ 0.019183616638183593,
113
+ 0.01962188720703125,
114
+ 0.018908159255981445,
115
+ 0.01883033561706543,
116
+ 0.018778112411499022,
117
+ 0.01884364891052246,
118
+ 0.018874368667602538,
119
+ 0.01887027168273926,
120
+ 0.019115007400512696,
121
+ 0.018903039932250978,
122
+ 0.018889728546142577,
123
+ 0.018860031127929687,
124
+ 0.01884876823425293,
125
+ 0.018863168716430664,
126
+ 0.022043584823608398,
127
+ 0.01967616081237793,
128
+ 0.018881536483764647,
129
+ 0.01885491180419922,
130
+ 0.01883750343322754,
131
+ 0.018967552185058592,
132
+ 0.018890752792358398,
133
+ 0.018903039932250978,
134
+ 0.018902015686035157,
135
+ 0.01928704071044922,
136
+ 0.01925324821472168,
137
+ 0.01962393569946289,
138
+ 0.019795967102050782,
139
+ 0.019529727935791014,
140
+ 0.019583999633789064,
141
+ 0.019566591262817384,
142
+ 0.018908159255981445,
143
+ 0.018967552185058592,
144
+ 0.018882560729980468,
145
+ 0.018811904907226562,
146
+ 0.01883852767944336,
147
+ 0.01883340835571289,
148
+ 0.01882521629333496,
149
+ 0.018817024230957033,
150
+ 0.018817024230957033,
151
+ 0.01882931137084961,
152
+ 0.018807807922363282,
153
+ 0.0188272647857666,
154
+ 0.01882521629333496,
155
+ 0.018883583068847656,
156
+ 0.01905561637878418,
157
+ 0.019174400329589843,
158
+ 0.019369983673095705,
159
+ 0.019611648559570313,
160
+ 0.019612672805786133,
161
+ 0.01972428894042969,
162
+ 0.019696640014648437,
163
+ 0.019749887466430666,
164
+ 0.019680255889892577,
165
+ 0.01902592086791992,
166
+ 0.01901875114440918,
167
+ 0.018971647262573242,
168
+ 0.018950143814086915,
169
+ 0.018960384368896483,
170
+ 0.01900032043457031,
171
+ 0.019021823883056642,
172
+ 0.020109312057495117,
173
+ 0.020158464431762696,
174
+ 0.02028441619873047,
175
+ 0.01987379264831543,
176
+ 0.019770368576049805,
177
+ 0.020084735870361328,
178
+ 0.01904640007019043,
179
+ 0.01903104019165039,
180
+ 0.01906073570251465,
181
+ 0.019076095581054688,
182
+ 0.019002368927001953,
183
+ 0.01900851249694824,
184
+ 0.0190248966217041,
185
+ 0.020409408569335936,
186
+ 0.019858367919921877,
187
+ 0.01899519920349121,
188
+ 0.018988031387329102,
189
+ 0.01900032043457031,
190
+ 0.018960384368896483,
191
+ 0.019005439758300782,
192
+ 0.018944000244140623,
193
+ 0.018938880920410156,
194
+ 0.01909350395202637,
195
+ 0.018988031387329102,
196
+ 0.018932735443115235,
197
+ 0.018970624923706055,
198
+ 0.018951168060302736,
199
+ 0.018927616119384767,
200
+ 0.019105791091918945,
201
+ 0.01901260757446289,
202
+ 0.018985984802246093,
203
+ 0.019264511108398438,
204
+ 0.018963520050048827,
205
+ 0.019079103469848632,
206
+ 0.018977792739868164,
207
+ 0.01898700714111328,
208
+ 0.018998271942138673,
209
+ 0.018969600677490234,
210
+ 0.019384319305419923,
211
+ 0.01922867202758789,
212
+ 0.01903104019165039,
213
+ 0.01900851249694824,
214
+ 0.019009536743164062,
215
+ 0.01900441551208496,
216
+ 0.018968576431274413,
217
+ 0.019079168319702147,
218
+ 0.018975744247436522,
219
+ 0.018929664611816405,
220
+ 0.018941951751708985,
221
+ 0.018940927505493164,
222
+ 0.019128320693969726,
223
+ 0.019014656066894533,
224
+ 0.018989055633544923,
225
+ 0.019013631820678712,
226
+ 0.019002368927001953,
227
+ 0.01897881507873535,
228
+ 0.018988031387329102,
229
+ 0.018963455200195312,
230
+ 0.01897881507873535,
231
+ 0.018808832168579103,
232
+ 0.018791423797607423,
233
+ 0.01878326416015625,
234
+ 0.018835424423217773,
235
+ 0.018817024230957033,
236
+ 0.01883647918701172,
237
+ 0.01880473518371582,
238
+ 0.01882931137084961,
239
+ 0.018970624923706055,
240
+ 0.018932735443115235,
241
+ 0.01878937530517578,
242
+ 0.018778112411499022,
243
+ 0.01884364891052246,
244
+ 0.019796991348266603,
245
+ 0.02010316848754883,
246
+ 0.019796991348266603,
247
+ 0.019603456497192383,
248
+ 0.019575807571411134,
249
+ 0.018881536483764647,
250
+ 0.018988031387329102,
251
+ 0.01879347229003906,
252
+ 0.018869247436523438,
253
+ 0.018889728546142577,
254
+ 0.018924543380737305,
255
+ 0.01901875114440918,
256
+ 0.01886617660522461,
257
+ 0.018922496795654296,
258
+ 0.018782207489013672,
259
+ 0.01882316780090332,
260
+ 0.018950143814086915,
261
+ 0.01906380844116211,
262
+ 0.018908159255981445,
263
+ 0.018955263137817382,
264
+ 0.019284992218017577,
265
+ 0.018852863311767578,
266
+ 0.019005439758300782,
267
+ 0.018808832168579103,
268
+ 0.018800640106201173,
269
+ 0.018799615859985352,
270
+ 0.01884979248046875,
271
+ 0.01884774398803711,
272
+ 0.01882624053955078,
273
+ 0.018919424057006837,
274
+ 0.018881536483764647,
275
+ 0.01883135986328125,
276
+ 0.01884876823425293,
277
+ 0.01881804847717285,
278
+ 0.01880268859863281,
279
+ 0.018844671249389648,
280
+ 0.01880166435241699,
281
+ 0.01882624053955078,
282
+ 0.01885491180419922,
283
+ 0.018811904907226562,
284
+ 0.01880678367614746,
285
+ 0.01884160041809082,
286
+ 0.01883750343322754,
287
+ 0.01880268859863281,
288
+ 0.018963455200195312,
289
+ 0.018923519134521484,
290
+ 0.018894847869873048,
291
+ 0.018935808181762694,
292
+ 0.018938880920410156,
293
+ 0.018950143814086915,
294
+ 0.018950143814086915,
295
+ 0.01943449592590332,
296
+ 0.019722240447998047,
297
+ 0.019710975646972655,
298
+ 0.019058687210083008,
299
+ 0.01903206443786621,
300
+ 0.019019775390625,
301
+ 0.018993152618408202,
302
+ 0.018993152618408202,
303
+ 0.018922496795654296,
304
+ 0.018965503692626954,
305
+ 0.018958335876464845,
306
+ 0.019009536743164062,
307
+ 0.018997247695922852,
308
+ 0.018903039932250978,
309
+ 0.018934783935546876,
310
+ 0.018949119567871094,
311
+ 0.0190515193939209,
312
+ 0.01899622344970703,
313
+ 0.018977792739868164,
314
+ 0.019133440017700197,
315
+ 0.01900032043457031,
316
+ 0.018974720001220705,
317
+ 0.018926591873168946,
318
+ 0.020206592559814454,
319
+ 0.019904512405395508,
320
+ 0.019042303085327148,
321
+ 0.018974720001220705,
322
+ 0.018961408615112304,
323
+ 0.01905254364013672,
324
+ 0.018993152618408202,
325
+ 0.018973695755004884,
326
+ 0.018956287384033203,
327
+ 0.019054592132568358,
328
+ 0.018967552185058592,
329
+ 0.018956287384033203,
330
+ 0.018981887817382814,
331
+ 0.018968576431274413,
332
+ 0.018960384368896483,
333
+ 0.01900032043457031,
334
+ 0.018972671508789063,
335
+ 0.01903001594543457,
336
+ 0.018962432861328125,
337
+ 0.019017728805541992,
338
+ 0.019136512756347656,
339
+ 0.018979839324951172,
340
+ 0.019203071594238282,
341
+ 0.019783679962158202,
342
+ 0.019739648818969727,
343
+ 0.019722240447998047,
344
+ 0.019768320083618163,
345
+ 0.019757055282592775,
346
+ 0.01962495994567871,
347
+ 0.0196997127532959,
348
+ 0.01899622344970703,
349
+ 0.018998271942138673,
350
+ 0.019115007400512696,
351
+ 0.018976768493652343,
352
+ 0.018969600677490234,
353
+ 0.018967552185058592,
354
+ 0.01899622344970703,
355
+ 0.01905971145629883,
356
+ 0.019273727416992188,
357
+ 0.01967411231994629
358
+ ]
359
+ },
360
+ "throughput": {
361
+ "unit": "tokens/s",
362
+ "value": 52.33064156138798
363
+ },
364
+ "energy": null,
365
+ "efficiency": null
366
+ }
367
+ }
2024-08-28/commit=c35d2ccf5a5ebcab24a0b9da3cb2527b3ae565a0/backend.cache_implementation=null,backend.model=google/gemma-2b,backend.torch_compile=False/summary.json ADDED
@@ -0,0 +1,13 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "model": "google/gemma-2b",
3
+ "commit": "c35d2ccf5a5ebcab24a0b9da3cb2527b3ae565a0",
4
+ "config": "backend.cache_implementation=null,backend.torch_compile=False",
5
+ "metrics": {
6
+ "prefill.latency.mean": 0.02051244831085205,
7
+ "prefill.throughput.value": 341.25619204103833,
8
+ "decode.latency.mean": 2.427037475585937,
9
+ "decode.throughput.value": 52.32716893641684,
10
+ "per_token.latency.mean": 0.019109263142262856,
11
+ "per_token.throughput.value": 52.33064156138798
12
+ }
13
+ }
2024-08-28/commit=c35d2ccf5a5ebcab24a0b9da3cb2527b3ae565a0/backend.cache_implementation=null,backend.model=google/gemma-2b,backend.torch_compile=True/.hydra/config.yaml ADDED
@@ -0,0 +1,93 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ name: pytorch_generate
2
+ backend:
3
+ name: pytorch
4
+ version: 2.4.0+cu121
5
+ _target_: optimum_benchmark.backends.pytorch.backend.PyTorchBackend
6
+ task: null
7
+ library: null
8
+ model_type: null
9
+ model: google/gemma-2b
10
+ processor: null
11
+ device: cuda
12
+ device_ids: '0'
13
+ seed: 42
14
+ inter_op_num_threads: null
15
+ intra_op_num_threads: null
16
+ model_kwargs: {}
17
+ processor_kwargs: {}
18
+ no_weights: true
19
+ device_map: null
20
+ torch_dtype: float16
21
+ eval_mode: true
22
+ to_bettertransformer: false
23
+ low_cpu_mem_usage: null
24
+ attn_implementation: null
25
+ cache_implementation: null
26
+ autocast_enabled: false
27
+ autocast_dtype: null
28
+ torch_compile: true
29
+ torch_compile_target: forward
30
+ torch_compile_config:
31
+ backend: inductor
32
+ mode: reduce-overhead
33
+ fullgraph: true
34
+ quantization_scheme: null
35
+ quantization_config: {}
36
+ deepspeed_inference: false
37
+ deepspeed_inference_config: {}
38
+ peft_type: null
39
+ peft_config: {}
40
+ scenario:
41
+ name: inference
42
+ _target_: optimum_benchmark.scenarios.inference.scenario.InferenceScenario
43
+ iterations: 2
44
+ duration: 0
45
+ warmup_runs: 10
46
+ input_shapes:
47
+ batch_size: 1
48
+ sequence_length: 7
49
+ new_tokens: null
50
+ memory: true
51
+ latency: true
52
+ energy: false
53
+ forward_kwargs: {}
54
+ generate_kwargs:
55
+ max_new_tokens: 128
56
+ min_new_tokens: 128
57
+ do_sample: false
58
+ call_kwargs: {}
59
+ launcher:
60
+ name: process
61
+ _target_: optimum_benchmark.launchers.process.launcher.ProcessLauncher
62
+ device_isolation: true
63
+ device_isolation_action: warn
64
+ numactl: false
65
+ numactl_kwargs: {}
66
+ start_method: spawn
67
+ environment:
68
+ cpu: ' AMD EPYC 7R32'
69
+ cpu_count: 16
70
+ cpu_ram_mb: 66697.261056
71
+ system: Linux
72
+ machine: x86_64
73
+ platform: Linux-5.10.223-211.872.amzn2.x86_64-x86_64-with-glibc2.29
74
+ processor: x86_64
75
+ python_version: 3.8.10
76
+ gpu:
77
+ - NVIDIA A10G
78
+ gpu_count: 1
79
+ gpu_vram_mb: 24146608128
80
+ optimum_benchmark_version: 0.4.0
81
+ optimum_benchmark_commit: null
82
+ transformers_version: 4.45.0.dev0
83
+ transformers_commit: c35d2ccf5a5ebcab24a0b9da3cb2527b3ae565a0
84
+ accelerate_version: 0.34.0.dev0
85
+ accelerate_commit: null
86
+ diffusers_version: null
87
+ diffusers_commit: null
88
+ optimum_version: 1.22.0.dev0
89
+ optimum_commit: null
90
+ timm_version: 0.9.16
91
+ timm_commit: null
92
+ peft_version: 0.12.1.dev0
93
+ peft_commit: null
2024-08-28/commit=c35d2ccf5a5ebcab24a0b9da3cb2527b3ae565a0/backend.cache_implementation=null,backend.model=google/gemma-2b,backend.torch_compile=True/.hydra/hydra.yaml ADDED
@@ -0,0 +1,141 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ hydra:
2
+ run:
3
+ dir: _benchmark/tmphb_ugmdi/commit=c35d2ccf5a5ebcab24a0b9da3cb2527b3ae565a0/${hydra.job.override_dirname}
4
+ sweep:
5
+ dir: _benchmark/tmphb_ugmdi/commit=c35d2ccf5a5ebcab24a0b9da3cb2527b3ae565a0
6
+ subdir: ${hydra.job.override_dirname}
7
+ launcher:
8
+ _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher
9
+ sweeper:
10
+ _target_: hydra._internal.core_plugins.basic_sweeper.BasicSweeper
11
+ max_batch_size: null
12
+ params: null
13
+ help:
14
+ app_name: ${hydra.job.name}
15
+ header: '${hydra.help.app_name} is powered by Hydra.
16
+
17
+ '
18
+ footer: 'Powered by Hydra (https://hydra.cc)
19
+
20
+ Use --hydra-help to view Hydra specific help
21
+
22
+ '
23
+ template: '${hydra.help.header}
24
+
25
+ == Configuration groups ==
26
+
27
+ Compose your configuration from those groups (group=option)
28
+
29
+
30
+ $APP_CONFIG_GROUPS
31
+
32
+
33
+ == Config ==
34
+
35
+ Override anything in the config (foo.bar=value)
36
+
37
+
38
+ $CONFIG
39
+
40
+
41
+ ${hydra.help.footer}
42
+
43
+ '
44
+ hydra_help:
45
+ template: 'Hydra (${hydra.runtime.version})
46
+
47
+ See https://hydra.cc for more info.
48
+
49
+
50
+ == Flags ==
51
+
52
+ $FLAGS_HELP
53
+
54
+
55
+ == Configuration groups ==
56
+
57
+ Compose your configuration from those groups (For example, append hydra/job_logging=disabled
58
+ to command line)
59
+
60
+
61
+ $HYDRA_CONFIG_GROUPS
62
+
63
+
64
+ Use ''--cfg hydra'' to Show the Hydra config.
65
+
66
+ '
67
+ hydra_help: ???
68
+ hydra_logging:
69
+ version: 1
70
+ root:
71
+ level: ERROR
72
+ disable_existing_loggers: true
73
+ job_logging:
74
+ version: 1
75
+ root:
76
+ level: ERROR
77
+ disable_existing_loggers: true
78
+ env: {}
79
+ mode: MULTIRUN
80
+ searchpath: []
81
+ callbacks: {}
82
+ output_subdir: .hydra
83
+ overrides:
84
+ hydra:
85
+ - hydra/job_logging=disabled
86
+ - hydra/hydra_logging=disabled
87
+ - hydra.sweep.dir=_benchmark/tmphb_ugmdi/commit\=c35d2ccf5a5ebcab24a0b9da3cb2527b3ae565a0
88
+ - hydra.run.dir=_benchmark/tmphb_ugmdi/commit\=c35d2ccf5a5ebcab24a0b9da3cb2527b3ae565a0/${hydra.job.override_dirname}
89
+ - hydra.mode=MULTIRUN
90
+ task:
91
+ - backend.model=google/gemma-2b
92
+ - backend.cache_implementation=null
93
+ - backend.torch_compile=True
94
+ job:
95
+ name: cli
96
+ chdir: true
97
+ override_dirname: backend.cache_implementation=null,backend.model=google/gemma-2b,backend.torch_compile=True
98
+ id: '1'
99
+ num: 1
100
+ config_name: generation
101
+ env_set:
102
+ OVERRIDE_BENCHMARKS: '1'
103
+ LOG_LEVEL: WARN
104
+ env_copy: []
105
+ config:
106
+ override_dirname:
107
+ kv_sep: '='
108
+ item_sep: ','
109
+ exclude_keys: []
110
+ runtime:
111
+ version: 1.3.2
112
+ version_base: '1.3'
113
+ cwd: /transformers
114
+ config_sources:
115
+ - path: hydra.conf
116
+ schema: pkg
117
+ provider: hydra
118
+ - path: optimum_benchmark
119
+ schema: pkg
120
+ provider: main
121
+ - path: /transformers/benchmark/config
122
+ schema: file
123
+ provider: command-line
124
+ - path: ''
125
+ schema: structured
126
+ provider: schema
127
+ output_dir: /transformers/_benchmark/tmphb_ugmdi/commit=c35d2ccf5a5ebcab24a0b9da3cb2527b3ae565a0/backend.cache_implementation=null,backend.model=google/gemma-2b,backend.torch_compile=True
128
+ choices:
129
+ backend: pytorch
130
+ launcher: process
131
+ scenario: inference
132
+ hydra/env: default
133
+ hydra/callbacks: null
134
+ hydra/job_logging: disabled
135
+ hydra/hydra_logging: disabled
136
+ hydra/hydra_help: default
137
+ hydra/help: default
138
+ hydra/sweeper: basic
139
+ hydra/launcher: basic
140
+ hydra/output: default
141
+ verbose: false
2024-08-28/commit=c35d2ccf5a5ebcab24a0b9da3cb2527b3ae565a0/backend.cache_implementation=null,backend.model=google/gemma-2b,backend.torch_compile=True/.hydra/overrides.yaml ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ - backend.model=google/gemma-2b
2
+ - backend.cache_implementation=null
3
+ - backend.torch_compile=True
2024-08-28/commit=c35d2ccf5a5ebcab24a0b9da3cb2527b3ae565a0/backend.cache_implementation=null,backend.model=google/gemma-2b,backend.torch_compile=True/benchmark.log ADDED
@@ -0,0 +1,2 @@
 
 
 
1
+ [ISOLATED-PROCESS][2024-08-28 02:41:22,419][process][ERROR] - + Sending traceback to main process
2
+ [MAIN-PROCESS][2024-08-28 02:41:24,792][process][ERROR] - + Received traceback from isolated process
2024-08-28/commit=c35d2ccf5a5ebcab24a0b9da3cb2527b3ae565a0/backend.cache_implementation=null,backend.model=google/gemma-2b,backend.torch_compile=True/benchmark_config.json ADDED
@@ -0,0 +1,104 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "name": "pytorch_generate",
3
+ "backend": {
4
+ "name": "pytorch",
5
+ "version": "2.4.0+cu121",
6
+ "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
7
+ "task": "text-generation",
8
+ "library": "transformers",
9
+ "model_type": "gemma",
10
+ "model": "google/gemma-2b",
11
+ "processor": "google/gemma-2b",
12
+ "device": "cuda",
13
+ "device_ids": "0",
14
+ "seed": 42,
15
+ "inter_op_num_threads": null,
16
+ "intra_op_num_threads": null,
17
+ "model_kwargs": {},
18
+ "processor_kwargs": {},
19
+ "no_weights": true,
20
+ "device_map": null,
21
+ "torch_dtype": "float16",
22
+ "eval_mode": true,
23
+ "to_bettertransformer": false,
24
+ "low_cpu_mem_usage": null,
25
+ "attn_implementation": null,
26
+ "cache_implementation": null,
27
+ "autocast_enabled": false,
28
+ "autocast_dtype": null,
29
+ "torch_compile": true,
30
+ "torch_compile_target": "forward",
31
+ "torch_compile_config": {
32
+ "backend": "inductor",
33
+ "mode": "reduce-overhead",
34
+ "fullgraph": true
35
+ },
36
+ "quantization_scheme": null,
37
+ "quantization_config": {},
38
+ "deepspeed_inference": false,
39
+ "deepspeed_inference_config": {},
40
+ "peft_type": null,
41
+ "peft_config": {}
42
+ },
43
+ "scenario": {
44
+ "name": "inference",
45
+ "_target_": "optimum_benchmark.scenarios.inference.scenario.InferenceScenario",
46
+ "iterations": 2,
47
+ "duration": 0,
48
+ "warmup_runs": 10,
49
+ "input_shapes": {
50
+ "batch_size": 1,
51
+ "num_choices": 2,
52
+ "sequence_length": 7
53
+ },
54
+ "new_tokens": null,
55
+ "memory": true,
56
+ "latency": true,
57
+ "energy": false,
58
+ "forward_kwargs": {},
59
+ "generate_kwargs": {
60
+ "max_new_tokens": 128,
61
+ "min_new_tokens": 128,
62
+ "do_sample": false
63
+ },
64
+ "call_kwargs": {}
65
+ },
66
+ "launcher": {
67
+ "name": "process",
68
+ "_target_": "optimum_benchmark.launchers.process.launcher.ProcessLauncher",
69
+ "device_isolation": true,
70
+ "device_isolation_action": "warn",
71
+ "numactl": false,
72
+ "numactl_kwargs": {},
73
+ "start_method": "spawn"
74
+ },
75
+ "environment": {
76
+ "cpu": " AMD EPYC 7R32",
77
+ "cpu_count": 16,
78
+ "cpu_ram_mb": 66697.261056,
79
+ "system": "Linux",
80
+ "machine": "x86_64",
81
+ "platform": "Linux-5.10.223-211.872.amzn2.x86_64-x86_64-with-glibc2.29",
82
+ "processor": "x86_64",
83
+ "python_version": "3.8.10",
84
+ "gpu": [
85
+ "NVIDIA A10G"
86
+ ],
87
+ "gpu_count": 1,
88
+ "gpu_vram_mb": 24146608128,
89
+ "optimum_benchmark_version": "0.4.0",
90
+ "optimum_benchmark_commit": null,
91
+ "transformers_version": "4.45.0.dev0",
92
+ "transformers_commit": "c35d2ccf5a5ebcab24a0b9da3cb2527b3ae565a0",
93
+ "accelerate_version": "0.34.0.dev0",
94
+ "accelerate_commit": null,
95
+ "diffusers_version": null,
96
+ "diffusers_commit": null,
97
+ "optimum_version": "1.22.0.dev0",
98
+ "optimum_commit": null,
99
+ "timm_version": "0.9.16",
100
+ "timm_commit": null,
101
+ "peft_version": "0.12.1.dev0",
102
+ "peft_commit": null
103
+ }
104
+ }
2024-08-28/commit=c35d2ccf5a5ebcab24a0b9da3cb2527b3ae565a0/backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=False/.hydra/config.yaml ADDED
@@ -0,0 +1,93 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ name: pytorch_generate
2
+ backend:
3
+ name: pytorch
4
+ version: 2.4.0+cu121
5
+ _target_: optimum_benchmark.backends.pytorch.backend.PyTorchBackend
6
+ task: null
7
+ library: null
8
+ model_type: null
9
+ model: google/gemma-2b
10
+ processor: null
11
+ device: cuda
12
+ device_ids: '0'
13
+ seed: 42
14
+ inter_op_num_threads: null
15
+ intra_op_num_threads: null
16
+ model_kwargs: {}
17
+ processor_kwargs: {}
18
+ no_weights: true
19
+ device_map: null
20
+ torch_dtype: float16
21
+ eval_mode: true
22
+ to_bettertransformer: false
23
+ low_cpu_mem_usage: null
24
+ attn_implementation: null
25
+ cache_implementation: static
26
+ autocast_enabled: false
27
+ autocast_dtype: null
28
+ torch_compile: false
29
+ torch_compile_target: forward
30
+ torch_compile_config:
31
+ backend: inductor
32
+ mode: reduce-overhead
33
+ fullgraph: true
34
+ quantization_scheme: null
35
+ quantization_config: {}
36
+ deepspeed_inference: false
37
+ deepspeed_inference_config: {}
38
+ peft_type: null
39
+ peft_config: {}
40
+ scenario:
41
+ name: inference
42
+ _target_: optimum_benchmark.scenarios.inference.scenario.InferenceScenario
43
+ iterations: 2
44
+ duration: 0
45
+ warmup_runs: 10
46
+ input_shapes:
47
+ batch_size: 1
48
+ sequence_length: 7
49
+ new_tokens: null
50
+ memory: true
51
+ latency: true
52
+ energy: false
53
+ forward_kwargs: {}
54
+ generate_kwargs:
55
+ max_new_tokens: 128
56
+ min_new_tokens: 128
57
+ do_sample: false
58
+ call_kwargs: {}
59
+ launcher:
60
+ name: process
61
+ _target_: optimum_benchmark.launchers.process.launcher.ProcessLauncher
62
+ device_isolation: true
63
+ device_isolation_action: warn
64
+ numactl: false
65
+ numactl_kwargs: {}
66
+ start_method: spawn
67
+ environment:
68
+ cpu: ' AMD EPYC 7R32'
69
+ cpu_count: 16
70
+ cpu_ram_mb: 66697.261056
71
+ system: Linux
72
+ machine: x86_64
73
+ platform: Linux-5.10.223-211.872.amzn2.x86_64-x86_64-with-glibc2.29
74
+ processor: x86_64
75
+ python_version: 3.8.10
76
+ gpu:
77
+ - NVIDIA A10G
78
+ gpu_count: 1
79
+ gpu_vram_mb: 24146608128
80
+ optimum_benchmark_version: 0.4.0
81
+ optimum_benchmark_commit: null
82
+ transformers_version: 4.45.0.dev0
83
+ transformers_commit: c35d2ccf5a5ebcab24a0b9da3cb2527b3ae565a0
84
+ accelerate_version: 0.34.0.dev0
85
+ accelerate_commit: null
86
+ diffusers_version: null
87
+ diffusers_commit: null
88
+ optimum_version: 1.22.0.dev0
89
+ optimum_commit: null
90
+ timm_version: 0.9.16
91
+ timm_commit: null
92
+ peft_version: 0.12.1.dev0
93
+ peft_commit: null
2024-08-28/commit=c35d2ccf5a5ebcab24a0b9da3cb2527b3ae565a0/backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=False/.hydra/hydra.yaml ADDED
@@ -0,0 +1,141 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ hydra:
2
+ run:
3
+ dir: _benchmark/tmphb_ugmdi/commit=c35d2ccf5a5ebcab24a0b9da3cb2527b3ae565a0/${hydra.job.override_dirname}
4
+ sweep:
5
+ dir: _benchmark/tmphb_ugmdi/commit=c35d2ccf5a5ebcab24a0b9da3cb2527b3ae565a0
6
+ subdir: ${hydra.job.override_dirname}
7
+ launcher:
8
+ _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher
9
+ sweeper:
10
+ _target_: hydra._internal.core_plugins.basic_sweeper.BasicSweeper
11
+ max_batch_size: null
12
+ params: null
13
+ help:
14
+ app_name: ${hydra.job.name}
15
+ header: '${hydra.help.app_name} is powered by Hydra.
16
+
17
+ '
18
+ footer: 'Powered by Hydra (https://hydra.cc)
19
+
20
+ Use --hydra-help to view Hydra specific help
21
+
22
+ '
23
+ template: '${hydra.help.header}
24
+
25
+ == Configuration groups ==
26
+
27
+ Compose your configuration from those groups (group=option)
28
+
29
+
30
+ $APP_CONFIG_GROUPS
31
+
32
+
33
+ == Config ==
34
+
35
+ Override anything in the config (foo.bar=value)
36
+
37
+
38
+ $CONFIG
39
+
40
+
41
+ ${hydra.help.footer}
42
+
43
+ '
44
+ hydra_help:
45
+ template: 'Hydra (${hydra.runtime.version})
46
+
47
+ See https://hydra.cc for more info.
48
+
49
+
50
+ == Flags ==
51
+
52
+ $FLAGS_HELP
53
+
54
+
55
+ == Configuration groups ==
56
+
57
+ Compose your configuration from those groups (For example, append hydra/job_logging=disabled
58
+ to command line)
59
+
60
+
61
+ $HYDRA_CONFIG_GROUPS
62
+
63
+
64
+ Use ''--cfg hydra'' to Show the Hydra config.
65
+
66
+ '
67
+ hydra_help: ???
68
+ hydra_logging:
69
+ version: 1
70
+ root:
71
+ level: ERROR
72
+ disable_existing_loggers: true
73
+ job_logging:
74
+ version: 1
75
+ root:
76
+ level: ERROR
77
+ disable_existing_loggers: true
78
+ env: {}
79
+ mode: MULTIRUN
80
+ searchpath: []
81
+ callbacks: {}
82
+ output_subdir: .hydra
83
+ overrides:
84
+ hydra:
85
+ - hydra/job_logging=disabled
86
+ - hydra/hydra_logging=disabled
87
+ - hydra.sweep.dir=_benchmark/tmphb_ugmdi/commit\=c35d2ccf5a5ebcab24a0b9da3cb2527b3ae565a0
88
+ - hydra.run.dir=_benchmark/tmphb_ugmdi/commit\=c35d2ccf5a5ebcab24a0b9da3cb2527b3ae565a0/${hydra.job.override_dirname}
89
+ - hydra.mode=MULTIRUN
90
+ task:
91
+ - backend.model=google/gemma-2b
92
+ - backend.cache_implementation=static
93
+ - backend.torch_compile=False
94
+ job:
95
+ name: cli
96
+ chdir: true
97
+ override_dirname: backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=False
98
+ id: '2'
99
+ num: 2
100
+ config_name: generation
101
+ env_set:
102
+ OVERRIDE_BENCHMARKS: '1'
103
+ LOG_LEVEL: WARN
104
+ env_copy: []
105
+ config:
106
+ override_dirname:
107
+ kv_sep: '='
108
+ item_sep: ','
109
+ exclude_keys: []
110
+ runtime:
111
+ version: 1.3.2
112
+ version_base: '1.3'
113
+ cwd: /transformers
114
+ config_sources:
115
+ - path: hydra.conf
116
+ schema: pkg
117
+ provider: hydra
118
+ - path: optimum_benchmark
119
+ schema: pkg
120
+ provider: main
121
+ - path: /transformers/benchmark/config
122
+ schema: file
123
+ provider: command-line
124
+ - path: ''
125
+ schema: structured
126
+ provider: schema
127
+ output_dir: /transformers/_benchmark/tmphb_ugmdi/commit=c35d2ccf5a5ebcab24a0b9da3cb2527b3ae565a0/backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=False
128
+ choices:
129
+ backend: pytorch
130
+ launcher: process
131
+ scenario: inference
132
+ hydra/env: default
133
+ hydra/callbacks: null
134
+ hydra/job_logging: disabled
135
+ hydra/hydra_logging: disabled
136
+ hydra/hydra_help: default
137
+ hydra/help: default
138
+ hydra/sweeper: basic
139
+ hydra/launcher: basic
140
+ hydra/output: default
141
+ verbose: false
2024-08-28/commit=c35d2ccf5a5ebcab24a0b9da3cb2527b3ae565a0/backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=False/.hydra/overrides.yaml ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ - backend.model=google/gemma-2b
2
+ - backend.cache_implementation=static
3
+ - backend.torch_compile=False
2024-08-28/commit=c35d2ccf5a5ebcab24a0b9da3cb2527b3ae565a0/backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=False/benchmark.json ADDED
@@ -0,0 +1,473 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "config": {
3
+ "name": "pytorch_generate",
4
+ "backend": {
5
+ "name": "pytorch",
6
+ "version": "2.4.0+cu121",
7
+ "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
8
+ "task": "text-generation",
9
+ "library": "transformers",
10
+ "model_type": "gemma",
11
+ "model": "google/gemma-2b",
12
+ "processor": "google/gemma-2b",
13
+ "device": "cuda",
14
+ "device_ids": "0",
15
+ "seed": 42,
16
+ "inter_op_num_threads": null,
17
+ "intra_op_num_threads": null,
18
+ "model_kwargs": {},
19
+ "processor_kwargs": {},
20
+ "no_weights": true,
21
+ "device_map": null,
22
+ "torch_dtype": "float16",
23
+ "eval_mode": true,
24
+ "to_bettertransformer": false,
25
+ "low_cpu_mem_usage": null,
26
+ "attn_implementation": null,
27
+ "cache_implementation": "static",
28
+ "autocast_enabled": false,
29
+ "autocast_dtype": null,
30
+ "torch_compile": false,
31
+ "torch_compile_target": "forward",
32
+ "torch_compile_config": {
33
+ "backend": "inductor",
34
+ "mode": "reduce-overhead",
35
+ "fullgraph": true
36
+ },
37
+ "quantization_scheme": null,
38
+ "quantization_config": {},
39
+ "deepspeed_inference": false,
40
+ "deepspeed_inference_config": {},
41
+ "peft_type": null,
42
+ "peft_config": {}
43
+ },
44
+ "scenario": {
45
+ "name": "inference",
46
+ "_target_": "optimum_benchmark.scenarios.inference.scenario.InferenceScenario",
47
+ "iterations": 2,
48
+ "duration": 0,
49
+ "warmup_runs": 10,
50
+ "input_shapes": {
51
+ "batch_size": 1,
52
+ "num_choices": 2,
53
+ "sequence_length": 7
54
+ },
55
+ "new_tokens": null,
56
+ "memory": true,
57
+ "latency": true,
58
+ "energy": false,
59
+ "forward_kwargs": {},
60
+ "generate_kwargs": {
61
+ "max_new_tokens": 128,
62
+ "min_new_tokens": 128,
63
+ "do_sample": false
64
+ },
65
+ "call_kwargs": {}
66
+ },
67
+ "launcher": {
68
+ "name": "process",
69
+ "_target_": "optimum_benchmark.launchers.process.launcher.ProcessLauncher",
70
+ "device_isolation": true,
71
+ "device_isolation_action": "warn",
72
+ "numactl": false,
73
+ "numactl_kwargs": {},
74
+ "start_method": "spawn"
75
+ },
76
+ "environment": {
77
+ "cpu": " AMD EPYC 7R32",
78
+ "cpu_count": 16,
79
+ "cpu_ram_mb": 66697.261056,
80
+ "system": "Linux",
81
+ "machine": "x86_64",
82
+ "platform": "Linux-5.10.223-211.872.amzn2.x86_64-x86_64-with-glibc2.29",
83
+ "processor": "x86_64",
84
+ "python_version": "3.8.10",
85
+ "gpu": [
86
+ "NVIDIA A10G"
87
+ ],
88
+ "gpu_count": 1,
89
+ "gpu_vram_mb": 24146608128,
90
+ "optimum_benchmark_version": "0.4.0",
91
+ "optimum_benchmark_commit": null,
92
+ "transformers_version": "4.45.0.dev0",
93
+ "transformers_commit": "c35d2ccf5a5ebcab24a0b9da3cb2527b3ae565a0",
94
+ "accelerate_version": "0.34.0.dev0",
95
+ "accelerate_commit": null,
96
+ "diffusers_version": null,
97
+ "diffusers_commit": null,
98
+ "optimum_version": "1.22.0.dev0",
99
+ "optimum_commit": null,
100
+ "timm_version": "0.9.16",
101
+ "timm_commit": null,
102
+ "peft_version": "0.12.1.dev0",
103
+ "peft_commit": null
104
+ }
105
+ },
106
+ "report": {
107
+ "load": {
108
+ "memory": {
109
+ "unit": "MB",
110
+ "max_ram": 1318.567936,
111
+ "max_global_vram": 6768.033792,
112
+ "max_process_vram": 0.0,
113
+ "max_reserved": 6138.363904,
114
+ "max_allocated": 6060.931072
115
+ },
116
+ "latency": {
117
+ "unit": "s",
118
+ "count": 1,
119
+ "total": 12.442005859375,
120
+ "mean": 12.442005859375,
121
+ "stdev": 0.0,
122
+ "p50": 12.442005859375,
123
+ "p90": 12.442005859375,
124
+ "p95": 12.442005859375,
125
+ "p99": 12.442005859375,
126
+ "values": [
127
+ 12.442005859375
128
+ ]
129
+ },
130
+ "throughput": null,
131
+ "energy": null,
132
+ "efficiency": null
133
+ },
134
+ "prefill": {
135
+ "memory": {
136
+ "unit": "MB",
137
+ "max_ram": 1745.707008,
138
+ "max_global_vram": 6789.005312,
139
+ "max_process_vram": 0.0,
140
+ "max_reserved": 6142.558208,
141
+ "max_allocated": 5028.450816
142
+ },
143
+ "latency": {
144
+ "unit": "s",
145
+ "count": 2,
146
+ "total": 0.043309535980224606,
147
+ "mean": 0.021654767990112303,
148
+ "stdev": 4.782485961913989e-05,
149
+ "p50": 0.021654767990112303,
150
+ "p90": 0.02169302787780762,
151
+ "p95": 0.02169781036376953,
152
+ "p99": 0.02170163635253906,
153
+ "values": [
154
+ 0.021606943130493165,
155
+ 0.021702592849731445
156
+ ]
157
+ },
158
+ "throughput": {
159
+ "unit": "tokens/s",
160
+ "value": 323.25444461913617
161
+ },
162
+ "energy": null,
163
+ "efficiency": null
164
+ },
165
+ "decode": {
166
+ "memory": {
167
+ "unit": "MB",
168
+ "max_ram": 1770.733568,
169
+ "max_global_vram": 6793.199616,
170
+ "max_process_vram": 0.0,
171
+ "max_reserved": 6146.752512,
172
+ "max_allocated": 5031.820288
173
+ },
174
+ "latency": {
175
+ "unit": "s",
176
+ "count": 2,
177
+ "total": 5.141742431640625,
178
+ "mean": 2.5708712158203126,
179
+ "stdev": 0.014269409179687553,
180
+ "p50": 2.5708712158203126,
181
+ "p90": 2.5822867431640626,
182
+ "p95": 2.5837136840820314,
183
+ "p99": 2.5848552368164066,
184
+ "values": [
185
+ 2.556601806640625,
186
+ 2.585140625
187
+ ]
188
+ },
189
+ "throughput": {
190
+ "unit": "tokens/s",
191
+ "value": 49.399596221888885
192
+ },
193
+ "energy": null,
194
+ "efficiency": null
195
+ },
196
+ "per_token": {
197
+ "memory": null,
198
+ "latency": {
199
+ "unit": "s",
200
+ "count": 254,
201
+ "total": 5.1414824924469,
202
+ "mean": 0.02024205705687756,
203
+ "stdev": 0.0004423089829375129,
204
+ "p50": 0.019986943244934084,
205
+ "p90": 0.0208225284576416,
206
+ "p95": 0.020916325855255127,
207
+ "p99": 0.021199257431030273,
208
+ "values": [
209
+ 0.019908607482910155,
210
+ 0.019923967361450197,
211
+ 0.020068351745605468,
212
+ 0.019891199111938478,
213
+ 0.01987583923339844,
214
+ 0.019909631729125975,
215
+ 0.020248575210571287,
216
+ 0.019904512405395508,
217
+ 0.019869695663452147,
218
+ 0.01986457633972168,
219
+ 0.019939327239990236,
220
+ 0.019886079788208007,
221
+ 0.019977216720581056,
222
+ 0.019861503601074217,
223
+ 0.019987455368041994,
224
+ 0.019948543548583983,
225
+ 0.019887104034423828,
226
+ 0.019966976165771484,
227
+ 0.019954687118530275,
228
+ 0.01989836883544922,
229
+ 0.0200447998046875,
230
+ 0.020936704635620116,
231
+ 0.020818944931030273,
232
+ 0.019907583236694337,
233
+ 0.019943424224853516,
234
+ 0.02006118392944336,
235
+ 0.019965951919555663,
236
+ 0.01988096046447754,
237
+ 0.02006118392944336,
238
+ 0.01987481689453125,
239
+ 0.01992192077636719,
240
+ 0.019922943115234376,
241
+ 0.019966976165771484,
242
+ 0.019985408782958985,
243
+ 0.019961856842041017,
244
+ 0.019907583236694337,
245
+ 0.01990553665161133,
246
+ 0.01990553665161133,
247
+ 0.019907583236694337,
248
+ 0.019937280654907227,
249
+ 0.019965951919555663,
250
+ 0.019914751052856446,
251
+ 0.019931135177612306,
252
+ 0.0198973445892334,
253
+ 0.019945472717285157,
254
+ 0.019956735610961913,
255
+ 0.020087871551513672,
256
+ 0.01994438362121582,
257
+ 0.019989503860473632,
258
+ 0.019935232162475586,
259
+ 0.019955711364746095,
260
+ 0.02004582405090332,
261
+ 0.019909631729125975,
262
+ 0.01989017677307129,
263
+ 0.019907583236694337,
264
+ 0.020319232940673827,
265
+ 0.020039680480957032,
266
+ 0.01988812828063965,
267
+ 0.019908607482910155,
268
+ 0.019914751052856446,
269
+ 0.019993600845336915,
270
+ 0.020109312057495117,
271
+ 0.02000383949279785,
272
+ 0.01997209548950195,
273
+ 0.019938304901123048,
274
+ 0.019928064346313477,
275
+ 0.019908607482910155,
276
+ 0.019945472717285157,
277
+ 0.019970048904418947,
278
+ 0.019870719909667968,
279
+ 0.019964927673339843,
280
+ 0.019908607482910155,
281
+ 0.019960832595825196,
282
+ 0.02002227210998535,
283
+ 0.021752832412719726,
284
+ 0.02110361671447754,
285
+ 0.02105446434020996,
286
+ 0.020907007217407226,
287
+ 0.019920896530151368,
288
+ 0.019883007049560548,
289
+ 0.019935232162475586,
290
+ 0.02006630325317383,
291
+ 0.019968000411987305,
292
+ 0.019927040100097656,
293
+ 0.019931135177612306,
294
+ 0.019926015853881835,
295
+ 0.019939327239990236,
296
+ 0.019957759857177734,
297
+ 0.019966976165771484,
298
+ 0.020000768661499024,
299
+ 0.019970048904418947,
300
+ 0.019955711364746095,
301
+ 0.02004991912841797,
302
+ 0.019942399978637695,
303
+ 0.019934207916259765,
304
+ 0.02031718444824219,
305
+ 0.020783103942871094,
306
+ 0.01998028755187988,
307
+ 0.019955711364746095,
308
+ 0.020129791259765627,
309
+ 0.019952640533447266,
310
+ 0.019986431121826173,
311
+ 0.019974143981933593,
312
+ 0.019955711364746095,
313
+ 0.0200898551940918,
314
+ 0.02032537651062012,
315
+ 0.019924991607666014,
316
+ 0.019902463912963866,
317
+ 0.020039680480957032,
318
+ 0.02063974380493164,
319
+ 0.020899839401245117,
320
+ 0.020701183319091796,
321
+ 0.020767744064331056,
322
+ 0.020818944931030273,
323
+ 0.02083635139465332,
324
+ 0.020754432678222655,
325
+ 0.020790271759033203,
326
+ 0.020731903076171874,
327
+ 0.020785152435302736,
328
+ 0.02083020782470703,
329
+ 0.02109337615966797,
330
+ 0.02086911964416504,
331
+ 0.020677631378173827,
332
+ 0.020756479263305663,
333
+ 0.020726783752441406,
334
+ 0.020039680480957032,
335
+ 0.019910655975341796,
336
+ 0.019869695663452147,
337
+ 0.019931135177612306,
338
+ 0.019998720169067383,
339
+ 0.019987455368041994,
340
+ 0.019917823791503905,
341
+ 0.019976192474365235,
342
+ 0.01984511947631836,
343
+ 0.019914751052856446,
344
+ 0.019869695663452147,
345
+ 0.01989017677307129,
346
+ 0.019916799545288084,
347
+ 0.02004275131225586,
348
+ 0.01984000015258789,
349
+ 0.019986431121826173,
350
+ 0.01987174415588379,
351
+ 0.019891199111938478,
352
+ 0.01989836883544922,
353
+ 0.01986867141723633,
354
+ 0.02008064079284668,
355
+ 0.01990656089782715,
356
+ 0.0198973445892334,
357
+ 0.019985408782958985,
358
+ 0.01990656089782715,
359
+ 0.019947519302368166,
360
+ 0.01985843276977539,
361
+ 0.01985945510864258,
362
+ 0.01980620765686035,
363
+ 0.02025369644165039,
364
+ 0.01984716796875,
365
+ 0.01989017677307129,
366
+ 0.02008064079284668,
367
+ 0.020060159683227538,
368
+ 0.02010419273376465,
369
+ 0.02004684829711914,
370
+ 0.020109312057495117,
371
+ 0.02064588737487793,
372
+ 0.020782079696655274,
373
+ 0.02072985649108887,
374
+ 0.02069811248779297,
375
+ 0.020677631378173827,
376
+ 0.020658176422119142,
377
+ 0.020824064254760744,
378
+ 0.020888576507568358,
379
+ 0.020737024307250978,
380
+ 0.02066022491455078,
381
+ 0.02068889617919922,
382
+ 0.020736000061035157,
383
+ 0.021141504287719725,
384
+ 0.02106265640258789,
385
+ 0.020752384185791017,
386
+ 0.019924991607666014,
387
+ 0.020739072799682616,
388
+ 0.019876863479614256,
389
+ 0.01991372871398926,
390
+ 0.019851264953613282,
391
+ 0.019904512405395508,
392
+ 0.020742143630981445,
393
+ 0.020684799194335936,
394
+ 0.02064793586730957,
395
+ 0.020486143112182616,
396
+ 0.02083839988708496,
397
+ 0.020719615936279297,
398
+ 0.020726783752441406,
399
+ 0.02082815933227539,
400
+ 0.020806655883789063,
401
+ 0.020748287200927733,
402
+ 0.01998028755187988,
403
+ 0.021109760284423826,
404
+ 0.0200447998046875,
405
+ 0.019989503860473632,
406
+ 0.02005299186706543,
407
+ 0.020011007308959963,
408
+ 0.02065203285217285,
409
+ 0.02083328056335449,
410
+ 0.020682752609252928,
411
+ 0.020800512313842775,
412
+ 0.02126438331604004,
413
+ 0.020684799194335936,
414
+ 0.020715520858764647,
415
+ 0.02087116813659668,
416
+ 0.020703231811523438,
417
+ 0.020098047256469728,
418
+ 0.020050943374633787,
419
+ 0.019934207916259765,
420
+ 0.019975168228149414,
421
+ 0.01998028755187988,
422
+ 0.019957759857177734,
423
+ 0.019960832595825196,
424
+ 0.01998028755187988,
425
+ 0.02003660774230957,
426
+ 0.01991372871398926,
427
+ 0.021019647598266602,
428
+ 0.02072166442871094,
429
+ 0.020805631637573242,
430
+ 0.020933631896972657,
431
+ 0.02064384078979492,
432
+ 0.020785152435302736,
433
+ 0.020694015502929687,
434
+ 0.02086604881286621,
435
+ 0.020737024307250978,
436
+ 0.020817920684814452,
437
+ 0.020717567443847656,
438
+ 0.019963903427124022,
439
+ 0.02005504035949707,
440
+ 0.020002815246582033,
441
+ 0.019950592041015625,
442
+ 0.019964927673339843,
443
+ 0.019918848037719726,
444
+ 0.01991372871398926,
445
+ 0.02005606460571289,
446
+ 0.019942399978637695,
447
+ 0.019959808349609375,
448
+ 0.020426752090454102,
449
+ 0.02083839988708496,
450
+ 0.020702207565307617,
451
+ 0.020769792556762694,
452
+ 0.020799488067626954,
453
+ 0.019918848037719726,
454
+ 0.020135936737060548,
455
+ 0.019940351486206053,
456
+ 0.020516864776611327,
457
+ 0.020586496353149415,
458
+ 0.0208035831451416,
459
+ 0.020777984619140624,
460
+ 0.022945791244506835,
461
+ 0.021032960891723632,
462
+ 0.020779008865356444
463
+ ]
464
+ },
465
+ "throughput": {
466
+ "unit": "tokens/s",
467
+ "value": 49.402093729413444
468
+ },
469
+ "energy": null,
470
+ "efficiency": null
471
+ }
472
+ }
473
+ }
2024-08-28/commit=c35d2ccf5a5ebcab24a0b9da3cb2527b3ae565a0/backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=False/benchmark.log ADDED
File without changes
2024-08-28/commit=c35d2ccf5a5ebcab24a0b9da3cb2527b3ae565a0/backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=False/benchmark_config.json ADDED
@@ -0,0 +1,104 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "name": "pytorch_generate",
3
+ "backend": {
4
+ "name": "pytorch",
5
+ "version": "2.4.0+cu121",
6
+ "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
7
+ "task": "text-generation",
8
+ "library": "transformers",
9
+ "model_type": "gemma",
10
+ "model": "google/gemma-2b",
11
+ "processor": "google/gemma-2b",
12
+ "device": "cuda",
13
+ "device_ids": "0",
14
+ "seed": 42,
15
+ "inter_op_num_threads": null,
16
+ "intra_op_num_threads": null,
17
+ "model_kwargs": {},
18
+ "processor_kwargs": {},
19
+ "no_weights": true,
20
+ "device_map": null,
21
+ "torch_dtype": "float16",
22
+ "eval_mode": true,
23
+ "to_bettertransformer": false,
24
+ "low_cpu_mem_usage": null,
25
+ "attn_implementation": null,
26
+ "cache_implementation": "static",
27
+ "autocast_enabled": false,
28
+ "autocast_dtype": null,
29
+ "torch_compile": false,
30
+ "torch_compile_target": "forward",
31
+ "torch_compile_config": {
32
+ "backend": "inductor",
33
+ "mode": "reduce-overhead",
34
+ "fullgraph": true
35
+ },
36
+ "quantization_scheme": null,
37
+ "quantization_config": {},
38
+ "deepspeed_inference": false,
39
+ "deepspeed_inference_config": {},
40
+ "peft_type": null,
41
+ "peft_config": {}
42
+ },
43
+ "scenario": {
44
+ "name": "inference",
45
+ "_target_": "optimum_benchmark.scenarios.inference.scenario.InferenceScenario",
46
+ "iterations": 2,
47
+ "duration": 0,
48
+ "warmup_runs": 10,
49
+ "input_shapes": {
50
+ "batch_size": 1,
51
+ "num_choices": 2,
52
+ "sequence_length": 7
53
+ },
54
+ "new_tokens": null,
55
+ "memory": true,
56
+ "latency": true,
57
+ "energy": false,
58
+ "forward_kwargs": {},
59
+ "generate_kwargs": {
60
+ "max_new_tokens": 128,
61
+ "min_new_tokens": 128,
62
+ "do_sample": false
63
+ },
64
+ "call_kwargs": {}
65
+ },
66
+ "launcher": {
67
+ "name": "process",
68
+ "_target_": "optimum_benchmark.launchers.process.launcher.ProcessLauncher",
69
+ "device_isolation": true,
70
+ "device_isolation_action": "warn",
71
+ "numactl": false,
72
+ "numactl_kwargs": {},
73
+ "start_method": "spawn"
74
+ },
75
+ "environment": {
76
+ "cpu": " AMD EPYC 7R32",
77
+ "cpu_count": 16,
78
+ "cpu_ram_mb": 66697.261056,
79
+ "system": "Linux",
80
+ "machine": "x86_64",
81
+ "platform": "Linux-5.10.223-211.872.amzn2.x86_64-x86_64-with-glibc2.29",
82
+ "processor": "x86_64",
83
+ "python_version": "3.8.10",
84
+ "gpu": [
85
+ "NVIDIA A10G"
86
+ ],
87
+ "gpu_count": 1,
88
+ "gpu_vram_mb": 24146608128,
89
+ "optimum_benchmark_version": "0.4.0",
90
+ "optimum_benchmark_commit": null,
91
+ "transformers_version": "4.45.0.dev0",
92
+ "transformers_commit": "c35d2ccf5a5ebcab24a0b9da3cb2527b3ae565a0",
93
+ "accelerate_version": "0.34.0.dev0",
94
+ "accelerate_commit": null,
95
+ "diffusers_version": null,
96
+ "diffusers_commit": null,
97
+ "optimum_version": "1.22.0.dev0",
98
+ "optimum_commit": null,
99
+ "timm_version": "0.9.16",
100
+ "timm_commit": null,
101
+ "peft_version": "0.12.1.dev0",
102
+ "peft_commit": null
103
+ }
104
+ }
2024-08-28/commit=c35d2ccf5a5ebcab24a0b9da3cb2527b3ae565a0/backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=False/benchmark_report.json ADDED
@@ -0,0 +1,367 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "load": {
3
+ "memory": {
4
+ "unit": "MB",
5
+ "max_ram": 1318.567936,
6
+ "max_global_vram": 6768.033792,
7
+ "max_process_vram": 0.0,
8
+ "max_reserved": 6138.363904,
9
+ "max_allocated": 6060.931072
10
+ },
11
+ "latency": {
12
+ "unit": "s",
13
+ "count": 1,
14
+ "total": 12.442005859375,
15
+ "mean": 12.442005859375,
16
+ "stdev": 0.0,
17
+ "p50": 12.442005859375,
18
+ "p90": 12.442005859375,
19
+ "p95": 12.442005859375,
20
+ "p99": 12.442005859375,
21
+ "values": [
22
+ 12.442005859375
23
+ ]
24
+ },
25
+ "throughput": null,
26
+ "energy": null,
27
+ "efficiency": null
28
+ },
29
+ "prefill": {
30
+ "memory": {
31
+ "unit": "MB",
32
+ "max_ram": 1745.707008,
33
+ "max_global_vram": 6789.005312,
34
+ "max_process_vram": 0.0,
35
+ "max_reserved": 6142.558208,
36
+ "max_allocated": 5028.450816
37
+ },
38
+ "latency": {
39
+ "unit": "s",
40
+ "count": 2,
41
+ "total": 0.043309535980224606,
42
+ "mean": 0.021654767990112303,
43
+ "stdev": 4.782485961913989e-05,
44
+ "p50": 0.021654767990112303,
45
+ "p90": 0.02169302787780762,
46
+ "p95": 0.02169781036376953,
47
+ "p99": 0.02170163635253906,
48
+ "values": [
49
+ 0.021606943130493165,
50
+ 0.021702592849731445
51
+ ]
52
+ },
53
+ "throughput": {
54
+ "unit": "tokens/s",
55
+ "value": 323.25444461913617
56
+ },
57
+ "energy": null,
58
+ "efficiency": null
59
+ },
60
+ "decode": {
61
+ "memory": {
62
+ "unit": "MB",
63
+ "max_ram": 1770.733568,
64
+ "max_global_vram": 6793.199616,
65
+ "max_process_vram": 0.0,
66
+ "max_reserved": 6146.752512,
67
+ "max_allocated": 5031.820288
68
+ },
69
+ "latency": {
70
+ "unit": "s",
71
+ "count": 2,
72
+ "total": 5.141742431640625,
73
+ "mean": 2.5708712158203126,
74
+ "stdev": 0.014269409179687553,
75
+ "p50": 2.5708712158203126,
76
+ "p90": 2.5822867431640626,
77
+ "p95": 2.5837136840820314,
78
+ "p99": 2.5848552368164066,
79
+ "values": [
80
+ 2.556601806640625,
81
+ 2.585140625
82
+ ]
83
+ },
84
+ "throughput": {
85
+ "unit": "tokens/s",
86
+ "value": 49.399596221888885
87
+ },
88
+ "energy": null,
89
+ "efficiency": null
90
+ },
91
+ "per_token": {
92
+ "memory": null,
93
+ "latency": {
94
+ "unit": "s",
95
+ "count": 254,
96
+ "total": 5.1414824924469,
97
+ "mean": 0.02024205705687756,
98
+ "stdev": 0.0004423089829375129,
99
+ "p50": 0.019986943244934084,
100
+ "p90": 0.0208225284576416,
101
+ "p95": 0.020916325855255127,
102
+ "p99": 0.021199257431030273,
103
+ "values": [
104
+ 0.019908607482910155,
105
+ 0.019923967361450197,
106
+ 0.020068351745605468,
107
+ 0.019891199111938478,
108
+ 0.01987583923339844,
109
+ 0.019909631729125975,
110
+ 0.020248575210571287,
111
+ 0.019904512405395508,
112
+ 0.019869695663452147,
113
+ 0.01986457633972168,
114
+ 0.019939327239990236,
115
+ 0.019886079788208007,
116
+ 0.019977216720581056,
117
+ 0.019861503601074217,
118
+ 0.019987455368041994,
119
+ 0.019948543548583983,
120
+ 0.019887104034423828,
121
+ 0.019966976165771484,
122
+ 0.019954687118530275,
123
+ 0.01989836883544922,
124
+ 0.0200447998046875,
125
+ 0.020936704635620116,
126
+ 0.020818944931030273,
127
+ 0.019907583236694337,
128
+ 0.019943424224853516,
129
+ 0.02006118392944336,
130
+ 0.019965951919555663,
131
+ 0.01988096046447754,
132
+ 0.02006118392944336,
133
+ 0.01987481689453125,
134
+ 0.01992192077636719,
135
+ 0.019922943115234376,
136
+ 0.019966976165771484,
137
+ 0.019985408782958985,
138
+ 0.019961856842041017,
139
+ 0.019907583236694337,
140
+ 0.01990553665161133,
141
+ 0.01990553665161133,
142
+ 0.019907583236694337,
143
+ 0.019937280654907227,
144
+ 0.019965951919555663,
145
+ 0.019914751052856446,
146
+ 0.019931135177612306,
147
+ 0.0198973445892334,
148
+ 0.019945472717285157,
149
+ 0.019956735610961913,
150
+ 0.020087871551513672,
151
+ 0.01994438362121582,
152
+ 0.019989503860473632,
153
+ 0.019935232162475586,
154
+ 0.019955711364746095,
155
+ 0.02004582405090332,
156
+ 0.019909631729125975,
157
+ 0.01989017677307129,
158
+ 0.019907583236694337,
159
+ 0.020319232940673827,
160
+ 0.020039680480957032,
161
+ 0.01988812828063965,
162
+ 0.019908607482910155,
163
+ 0.019914751052856446,
164
+ 0.019993600845336915,
165
+ 0.020109312057495117,
166
+ 0.02000383949279785,
167
+ 0.01997209548950195,
168
+ 0.019938304901123048,
169
+ 0.019928064346313477,
170
+ 0.019908607482910155,
171
+ 0.019945472717285157,
172
+ 0.019970048904418947,
173
+ 0.019870719909667968,
174
+ 0.019964927673339843,
175
+ 0.019908607482910155,
176
+ 0.019960832595825196,
177
+ 0.02002227210998535,
178
+ 0.021752832412719726,
179
+ 0.02110361671447754,
180
+ 0.02105446434020996,
181
+ 0.020907007217407226,
182
+ 0.019920896530151368,
183
+ 0.019883007049560548,
184
+ 0.019935232162475586,
185
+ 0.02006630325317383,
186
+ 0.019968000411987305,
187
+ 0.019927040100097656,
188
+ 0.019931135177612306,
189
+ 0.019926015853881835,
190
+ 0.019939327239990236,
191
+ 0.019957759857177734,
192
+ 0.019966976165771484,
193
+ 0.020000768661499024,
194
+ 0.019970048904418947,
195
+ 0.019955711364746095,
196
+ 0.02004991912841797,
197
+ 0.019942399978637695,
198
+ 0.019934207916259765,
199
+ 0.02031718444824219,
200
+ 0.020783103942871094,
201
+ 0.01998028755187988,
202
+ 0.019955711364746095,
203
+ 0.020129791259765627,
204
+ 0.019952640533447266,
205
+ 0.019986431121826173,
206
+ 0.019974143981933593,
207
+ 0.019955711364746095,
208
+ 0.0200898551940918,
209
+ 0.02032537651062012,
210
+ 0.019924991607666014,
211
+ 0.019902463912963866,
212
+ 0.020039680480957032,
213
+ 0.02063974380493164,
214
+ 0.020899839401245117,
215
+ 0.020701183319091796,
216
+ 0.020767744064331056,
217
+ 0.020818944931030273,
218
+ 0.02083635139465332,
219
+ 0.020754432678222655,
220
+ 0.020790271759033203,
221
+ 0.020731903076171874,
222
+ 0.020785152435302736,
223
+ 0.02083020782470703,
224
+ 0.02109337615966797,
225
+ 0.02086911964416504,
226
+ 0.020677631378173827,
227
+ 0.020756479263305663,
228
+ 0.020726783752441406,
229
+ 0.020039680480957032,
230
+ 0.019910655975341796,
231
+ 0.019869695663452147,
232
+ 0.019931135177612306,
233
+ 0.019998720169067383,
234
+ 0.019987455368041994,
235
+ 0.019917823791503905,
236
+ 0.019976192474365235,
237
+ 0.01984511947631836,
238
+ 0.019914751052856446,
239
+ 0.019869695663452147,
240
+ 0.01989017677307129,
241
+ 0.019916799545288084,
242
+ 0.02004275131225586,
243
+ 0.01984000015258789,
244
+ 0.019986431121826173,
245
+ 0.01987174415588379,
246
+ 0.019891199111938478,
247
+ 0.01989836883544922,
248
+ 0.01986867141723633,
249
+ 0.02008064079284668,
250
+ 0.01990656089782715,
251
+ 0.0198973445892334,
252
+ 0.019985408782958985,
253
+ 0.01990656089782715,
254
+ 0.019947519302368166,
255
+ 0.01985843276977539,
256
+ 0.01985945510864258,
257
+ 0.01980620765686035,
258
+ 0.02025369644165039,
259
+ 0.01984716796875,
260
+ 0.01989017677307129,
261
+ 0.02008064079284668,
262
+ 0.020060159683227538,
263
+ 0.02010419273376465,
264
+ 0.02004684829711914,
265
+ 0.020109312057495117,
266
+ 0.02064588737487793,
267
+ 0.020782079696655274,
268
+ 0.02072985649108887,
269
+ 0.02069811248779297,
270
+ 0.020677631378173827,
271
+ 0.020658176422119142,
272
+ 0.020824064254760744,
273
+ 0.020888576507568358,
274
+ 0.020737024307250978,
275
+ 0.02066022491455078,
276
+ 0.02068889617919922,
277
+ 0.020736000061035157,
278
+ 0.021141504287719725,
279
+ 0.02106265640258789,
280
+ 0.020752384185791017,
281
+ 0.019924991607666014,
282
+ 0.020739072799682616,
283
+ 0.019876863479614256,
284
+ 0.01991372871398926,
285
+ 0.019851264953613282,
286
+ 0.019904512405395508,
287
+ 0.020742143630981445,
288
+ 0.020684799194335936,
289
+ 0.02064793586730957,
290
+ 0.020486143112182616,
291
+ 0.02083839988708496,
292
+ 0.020719615936279297,
293
+ 0.020726783752441406,
294
+ 0.02082815933227539,
295
+ 0.020806655883789063,
296
+ 0.020748287200927733,
297
+ 0.01998028755187988,
298
+ 0.021109760284423826,
299
+ 0.0200447998046875,
300
+ 0.019989503860473632,
301
+ 0.02005299186706543,
302
+ 0.020011007308959963,
303
+ 0.02065203285217285,
304
+ 0.02083328056335449,
305
+ 0.020682752609252928,
306
+ 0.020800512313842775,
307
+ 0.02126438331604004,
308
+ 0.020684799194335936,
309
+ 0.020715520858764647,
310
+ 0.02087116813659668,
311
+ 0.020703231811523438,
312
+ 0.020098047256469728,
313
+ 0.020050943374633787,
314
+ 0.019934207916259765,
315
+ 0.019975168228149414,
316
+ 0.01998028755187988,
317
+ 0.019957759857177734,
318
+ 0.019960832595825196,
319
+ 0.01998028755187988,
320
+ 0.02003660774230957,
321
+ 0.01991372871398926,
322
+ 0.021019647598266602,
323
+ 0.02072166442871094,
324
+ 0.020805631637573242,
325
+ 0.020933631896972657,
326
+ 0.02064384078979492,
327
+ 0.020785152435302736,
328
+ 0.020694015502929687,
329
+ 0.02086604881286621,
330
+ 0.020737024307250978,
331
+ 0.020817920684814452,
332
+ 0.020717567443847656,
333
+ 0.019963903427124022,
334
+ 0.02005504035949707,
335
+ 0.020002815246582033,
336
+ 0.019950592041015625,
337
+ 0.019964927673339843,
338
+ 0.019918848037719726,
339
+ 0.01991372871398926,
340
+ 0.02005606460571289,
341
+ 0.019942399978637695,
342
+ 0.019959808349609375,
343
+ 0.020426752090454102,
344
+ 0.02083839988708496,
345
+ 0.020702207565307617,
346
+ 0.020769792556762694,
347
+ 0.020799488067626954,
348
+ 0.019918848037719726,
349
+ 0.020135936737060548,
350
+ 0.019940351486206053,
351
+ 0.020516864776611327,
352
+ 0.020586496353149415,
353
+ 0.0208035831451416,
354
+ 0.020777984619140624,
355
+ 0.022945791244506835,
356
+ 0.021032960891723632,
357
+ 0.020779008865356444
358
+ ]
359
+ },
360
+ "throughput": {
361
+ "unit": "tokens/s",
362
+ "value": 49.402093729413444
363
+ },
364
+ "energy": null,
365
+ "efficiency": null
366
+ }
367
+ }
2024-08-28/commit=c35d2ccf5a5ebcab24a0b9da3cb2527b3ae565a0/backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=False/summary.json ADDED
@@ -0,0 +1,13 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "model": "google/gemma-2b",
3
+ "commit": "c35d2ccf5a5ebcab24a0b9da3cb2527b3ae565a0",
4
+ "config": "backend.cache_implementation=static,backend.torch_compile=False",
5
+ "metrics": {
6
+ "prefill.latency.mean": 0.021654767990112303,
7
+ "prefill.throughput.value": 323.25444461913617,
8
+ "decode.latency.mean": 2.5708712158203126,
9
+ "decode.throughput.value": 49.399596221888885,
10
+ "per_token.latency.mean": 0.02024205705687756,
11
+ "per_token.throughput.value": 49.402093729413444
12
+ }
13
+ }
2024-08-28/commit=c35d2ccf5a5ebcab24a0b9da3cb2527b3ae565a0/backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=True/.hydra/config.yaml ADDED
@@ -0,0 +1,93 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ name: pytorch_generate
2
+ backend:
3
+ name: pytorch
4
+ version: 2.4.0+cu121
5
+ _target_: optimum_benchmark.backends.pytorch.backend.PyTorchBackend
6
+ task: null
7
+ library: null
8
+ model_type: null
9
+ model: google/gemma-2b
10
+ processor: null
11
+ device: cuda
12
+ device_ids: '0'
13
+ seed: 42
14
+ inter_op_num_threads: null
15
+ intra_op_num_threads: null
16
+ model_kwargs: {}
17
+ processor_kwargs: {}
18
+ no_weights: true
19
+ device_map: null
20
+ torch_dtype: float16
21
+ eval_mode: true
22
+ to_bettertransformer: false
23
+ low_cpu_mem_usage: null
24
+ attn_implementation: null
25
+ cache_implementation: static
26
+ autocast_enabled: false
27
+ autocast_dtype: null
28
+ torch_compile: true
29
+ torch_compile_target: forward
30
+ torch_compile_config:
31
+ backend: inductor
32
+ mode: reduce-overhead
33
+ fullgraph: true
34
+ quantization_scheme: null
35
+ quantization_config: {}
36
+ deepspeed_inference: false
37
+ deepspeed_inference_config: {}
38
+ peft_type: null
39
+ peft_config: {}
40
+ scenario:
41
+ name: inference
42
+ _target_: optimum_benchmark.scenarios.inference.scenario.InferenceScenario
43
+ iterations: 2
44
+ duration: 0
45
+ warmup_runs: 10
46
+ input_shapes:
47
+ batch_size: 1
48
+ sequence_length: 7
49
+ new_tokens: null
50
+ memory: true
51
+ latency: true
52
+ energy: false
53
+ forward_kwargs: {}
54
+ generate_kwargs:
55
+ max_new_tokens: 128
56
+ min_new_tokens: 128
57
+ do_sample: false
58
+ call_kwargs: {}
59
+ launcher:
60
+ name: process
61
+ _target_: optimum_benchmark.launchers.process.launcher.ProcessLauncher
62
+ device_isolation: true
63
+ device_isolation_action: warn
64
+ numactl: false
65
+ numactl_kwargs: {}
66
+ start_method: spawn
67
+ environment:
68
+ cpu: ' AMD EPYC 7R32'
69
+ cpu_count: 16
70
+ cpu_ram_mb: 66697.261056
71
+ system: Linux
72
+ machine: x86_64
73
+ platform: Linux-5.10.223-211.872.amzn2.x86_64-x86_64-with-glibc2.29
74
+ processor: x86_64
75
+ python_version: 3.8.10
76
+ gpu:
77
+ - NVIDIA A10G
78
+ gpu_count: 1
79
+ gpu_vram_mb: 24146608128
80
+ optimum_benchmark_version: 0.4.0
81
+ optimum_benchmark_commit: null
82
+ transformers_version: 4.45.0.dev0
83
+ transformers_commit: c35d2ccf5a5ebcab24a0b9da3cb2527b3ae565a0
84
+ accelerate_version: 0.34.0.dev0
85
+ accelerate_commit: null
86
+ diffusers_version: null
87
+ diffusers_commit: null
88
+ optimum_version: 1.22.0.dev0
89
+ optimum_commit: null
90
+ timm_version: 0.9.16
91
+ timm_commit: null
92
+ peft_version: 0.12.1.dev0
93
+ peft_commit: null
2024-08-28/commit=c35d2ccf5a5ebcab24a0b9da3cb2527b3ae565a0/backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=True/.hydra/hydra.yaml ADDED
@@ -0,0 +1,141 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ hydra:
2
+ run:
3
+ dir: _benchmark/tmphb_ugmdi/commit=c35d2ccf5a5ebcab24a0b9da3cb2527b3ae565a0/${hydra.job.override_dirname}
4
+ sweep:
5
+ dir: _benchmark/tmphb_ugmdi/commit=c35d2ccf5a5ebcab24a0b9da3cb2527b3ae565a0
6
+ subdir: ${hydra.job.override_dirname}
7
+ launcher:
8
+ _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher
9
+ sweeper:
10
+ _target_: hydra._internal.core_plugins.basic_sweeper.BasicSweeper
11
+ max_batch_size: null
12
+ params: null
13
+ help:
14
+ app_name: ${hydra.job.name}
15
+ header: '${hydra.help.app_name} is powered by Hydra.
16
+
17
+ '
18
+ footer: 'Powered by Hydra (https://hydra.cc)
19
+
20
+ Use --hydra-help to view Hydra specific help
21
+
22
+ '
23
+ template: '${hydra.help.header}
24
+
25
+ == Configuration groups ==
26
+
27
+ Compose your configuration from those groups (group=option)
28
+
29
+
30
+ $APP_CONFIG_GROUPS
31
+
32
+
33
+ == Config ==
34
+
35
+ Override anything in the config (foo.bar=value)
36
+
37
+
38
+ $CONFIG
39
+
40
+
41
+ ${hydra.help.footer}
42
+
43
+ '
44
+ hydra_help:
45
+ template: 'Hydra (${hydra.runtime.version})
46
+
47
+ See https://hydra.cc for more info.
48
+
49
+
50
+ == Flags ==
51
+
52
+ $FLAGS_HELP
53
+
54
+
55
+ == Configuration groups ==
56
+
57
+ Compose your configuration from those groups (For example, append hydra/job_logging=disabled
58
+ to command line)
59
+
60
+
61
+ $HYDRA_CONFIG_GROUPS
62
+
63
+
64
+ Use ''--cfg hydra'' to Show the Hydra config.
65
+
66
+ '
67
+ hydra_help: ???
68
+ hydra_logging:
69
+ version: 1
70
+ root:
71
+ level: ERROR
72
+ disable_existing_loggers: true
73
+ job_logging:
74
+ version: 1
75
+ root:
76
+ level: ERROR
77
+ disable_existing_loggers: true
78
+ env: {}
79
+ mode: MULTIRUN
80
+ searchpath: []
81
+ callbacks: {}
82
+ output_subdir: .hydra
83
+ overrides:
84
+ hydra:
85
+ - hydra/job_logging=disabled
86
+ - hydra/hydra_logging=disabled
87
+ - hydra.sweep.dir=_benchmark/tmphb_ugmdi/commit\=c35d2ccf5a5ebcab24a0b9da3cb2527b3ae565a0
88
+ - hydra.run.dir=_benchmark/tmphb_ugmdi/commit\=c35d2ccf5a5ebcab24a0b9da3cb2527b3ae565a0/${hydra.job.override_dirname}
89
+ - hydra.mode=MULTIRUN
90
+ task:
91
+ - backend.model=google/gemma-2b
92
+ - backend.cache_implementation=static
93
+ - backend.torch_compile=True
94
+ job:
95
+ name: cli
96
+ chdir: true
97
+ override_dirname: backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=True
98
+ id: '3'
99
+ num: 3
100
+ config_name: generation
101
+ env_set:
102
+ OVERRIDE_BENCHMARKS: '1'
103
+ LOG_LEVEL: WARN
104
+ env_copy: []
105
+ config:
106
+ override_dirname:
107
+ kv_sep: '='
108
+ item_sep: ','
109
+ exclude_keys: []
110
+ runtime:
111
+ version: 1.3.2
112
+ version_base: '1.3'
113
+ cwd: /transformers
114
+ config_sources:
115
+ - path: hydra.conf
116
+ schema: pkg
117
+ provider: hydra
118
+ - path: optimum_benchmark
119
+ schema: pkg
120
+ provider: main
121
+ - path: /transformers/benchmark/config
122
+ schema: file
123
+ provider: command-line
124
+ - path: ''
125
+ schema: structured
126
+ provider: schema
127
+ output_dir: /transformers/_benchmark/tmphb_ugmdi/commit=c35d2ccf5a5ebcab24a0b9da3cb2527b3ae565a0/backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=True
128
+ choices:
129
+ backend: pytorch
130
+ launcher: process
131
+ scenario: inference
132
+ hydra/env: default
133
+ hydra/callbacks: null
134
+ hydra/job_logging: disabled
135
+ hydra/hydra_logging: disabled
136
+ hydra/hydra_help: default
137
+ hydra/help: default
138
+ hydra/sweeper: basic
139
+ hydra/launcher: basic
140
+ hydra/output: default
141
+ verbose: false
2024-08-28/commit=c35d2ccf5a5ebcab24a0b9da3cb2527b3ae565a0/backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=True/.hydra/overrides.yaml ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ - backend.model=google/gemma-2b
2
+ - backend.cache_implementation=static
3
+ - backend.torch_compile=True
2024-08-28/commit=c35d2ccf5a5ebcab24a0b9da3cb2527b3ae565a0/backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=True/benchmark.json ADDED
@@ -0,0 +1,473 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "config": {
3
+ "name": "pytorch_generate",
4
+ "backend": {
5
+ "name": "pytorch",
6
+ "version": "2.4.0+cu121",
7
+ "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
8
+ "task": "text-generation",
9
+ "library": "transformers",
10
+ "model_type": "gemma",
11
+ "model": "google/gemma-2b",
12
+ "processor": "google/gemma-2b",
13
+ "device": "cuda",
14
+ "device_ids": "0",
15
+ "seed": 42,
16
+ "inter_op_num_threads": null,
17
+ "intra_op_num_threads": null,
18
+ "model_kwargs": {},
19
+ "processor_kwargs": {},
20
+ "no_weights": true,
21
+ "device_map": null,
22
+ "torch_dtype": "float16",
23
+ "eval_mode": true,
24
+ "to_bettertransformer": false,
25
+ "low_cpu_mem_usage": null,
26
+ "attn_implementation": null,
27
+ "cache_implementation": "static",
28
+ "autocast_enabled": false,
29
+ "autocast_dtype": null,
30
+ "torch_compile": true,
31
+ "torch_compile_target": "forward",
32
+ "torch_compile_config": {
33
+ "backend": "inductor",
34
+ "mode": "reduce-overhead",
35
+ "fullgraph": true
36
+ },
37
+ "quantization_scheme": null,
38
+ "quantization_config": {},
39
+ "deepspeed_inference": false,
40
+ "deepspeed_inference_config": {},
41
+ "peft_type": null,
42
+ "peft_config": {}
43
+ },
44
+ "scenario": {
45
+ "name": "inference",
46
+ "_target_": "optimum_benchmark.scenarios.inference.scenario.InferenceScenario",
47
+ "iterations": 2,
48
+ "duration": 0,
49
+ "warmup_runs": 10,
50
+ "input_shapes": {
51
+ "batch_size": 1,
52
+ "num_choices": 2,
53
+ "sequence_length": 7
54
+ },
55
+ "new_tokens": null,
56
+ "memory": true,
57
+ "latency": true,
58
+ "energy": false,
59
+ "forward_kwargs": {},
60
+ "generate_kwargs": {
61
+ "max_new_tokens": 128,
62
+ "min_new_tokens": 128,
63
+ "do_sample": false
64
+ },
65
+ "call_kwargs": {}
66
+ },
67
+ "launcher": {
68
+ "name": "process",
69
+ "_target_": "optimum_benchmark.launchers.process.launcher.ProcessLauncher",
70
+ "device_isolation": true,
71
+ "device_isolation_action": "warn",
72
+ "numactl": false,
73
+ "numactl_kwargs": {},
74
+ "start_method": "spawn"
75
+ },
76
+ "environment": {
77
+ "cpu": " AMD EPYC 7R32",
78
+ "cpu_count": 16,
79
+ "cpu_ram_mb": 66697.261056,
80
+ "system": "Linux",
81
+ "machine": "x86_64",
82
+ "platform": "Linux-5.10.223-211.872.amzn2.x86_64-x86_64-with-glibc2.29",
83
+ "processor": "x86_64",
84
+ "python_version": "3.8.10",
85
+ "gpu": [
86
+ "NVIDIA A10G"
87
+ ],
88
+ "gpu_count": 1,
89
+ "gpu_vram_mb": 24146608128,
90
+ "optimum_benchmark_version": "0.4.0",
91
+ "optimum_benchmark_commit": null,
92
+ "transformers_version": "4.45.0.dev0",
93
+ "transformers_commit": "c35d2ccf5a5ebcab24a0b9da3cb2527b3ae565a0",
94
+ "accelerate_version": "0.34.0.dev0",
95
+ "accelerate_commit": null,
96
+ "diffusers_version": null,
97
+ "diffusers_commit": null,
98
+ "optimum_version": "1.22.0.dev0",
99
+ "optimum_commit": null,
100
+ "timm_version": "0.9.16",
101
+ "timm_commit": null,
102
+ "peft_version": "0.12.1.dev0",
103
+ "peft_commit": null
104
+ }
105
+ },
106
+ "report": {
107
+ "load": {
108
+ "memory": {
109
+ "unit": "MB",
110
+ "max_ram": 1338.068992,
111
+ "max_global_vram": 6768.033792,
112
+ "max_process_vram": 0.0,
113
+ "max_reserved": 6138.363904,
114
+ "max_allocated": 6060.931072
115
+ },
116
+ "latency": {
117
+ "unit": "s",
118
+ "count": 1,
119
+ "total": 12.3825625,
120
+ "mean": 12.3825625,
121
+ "stdev": 0.0,
122
+ "p50": 12.3825625,
123
+ "p90": 12.3825625,
124
+ "p95": 12.3825625,
125
+ "p99": 12.3825625,
126
+ "values": [
127
+ 12.3825625
128
+ ]
129
+ },
130
+ "throughput": null,
131
+ "energy": null,
132
+ "efficiency": null
133
+ },
134
+ "prefill": {
135
+ "memory": {
136
+ "unit": "MB",
137
+ "max_ram": 1856.22528,
138
+ "max_global_vram": 6789.005312,
139
+ "max_process_vram": 0.0,
140
+ "max_reserved": 6138.363904,
141
+ "max_allocated": 5278.596608
142
+ },
143
+ "latency": {
144
+ "unit": "s",
145
+ "count": 2,
146
+ "total": 0.028297151565551758,
147
+ "mean": 0.014148575782775879,
148
+ "stdev": 0.0001519041061401362,
149
+ "p50": 0.014148575782775879,
150
+ "p90": 0.014270099067687989,
151
+ "p95": 0.014285289478302002,
152
+ "p99": 0.014297441806793213,
153
+ "values": [
154
+ 0.013996671676635743,
155
+ 0.014300479888916015
156
+ ]
157
+ },
158
+ "throughput": {
159
+ "unit": "tokens/s",
160
+ "value": 494.749443864281
161
+ },
162
+ "energy": null,
163
+ "efficiency": null
164
+ },
165
+ "decode": {
166
+ "memory": {
167
+ "unit": "MB",
168
+ "max_ram": 2026.012672,
169
+ "max_global_vram": 6071.779328,
170
+ "max_process_vram": 0.0,
171
+ "max_reserved": 5381.292032,
172
+ "max_allocated": 5282.647552
173
+ },
174
+ "latency": {
175
+ "unit": "s",
176
+ "count": 2,
177
+ "total": 3.135092407226563,
178
+ "mean": 1.5675462036132815,
179
+ "stdev": 0.0012463989257812669,
180
+ "p50": 1.5675462036132815,
181
+ "p90": 1.5685433227539063,
182
+ "p95": 1.5686679626464846,
183
+ "p99": 1.568767674560547,
184
+ "values": [
185
+ 1.5687926025390626,
186
+ 1.5662998046875
187
+ ]
188
+ },
189
+ "throughput": {
190
+ "unit": "tokens/s",
191
+ "value": 81.0183455564231
192
+ },
193
+ "energy": null,
194
+ "efficiency": null
195
+ },
196
+ "per_token": {
197
+ "memory": null,
198
+ "latency": {
199
+ "unit": "s",
200
+ "count": 254,
201
+ "total": 3.1348080654144317,
202
+ "mean": 0.012341764037064678,
203
+ "stdev": 9.346761100570707e-05,
204
+ "p50": 0.012319744110107422,
205
+ "p90": 0.012359065628051757,
206
+ "p95": 0.012462796640396118,
207
+ "p99": 0.012848302049636842,
208
+ "values": [
209
+ 0.012355584144592285,
210
+ 0.012345343589782716,
211
+ 0.01233510398864746,
212
+ 0.012316672325134278,
213
+ 0.012319744110107422,
214
+ 0.012336128234863282,
215
+ 0.012302335739135742,
216
+ 0.012331007957458496,
217
+ 0.012316672325134278,
218
+ 0.01233407974243164,
219
+ 0.012326911926269531,
220
+ 0.01231980800628662,
221
+ 0.012323776245117187,
222
+ 0.012322815895080566,
223
+ 0.012337151527404786,
224
+ 0.012481535911560059,
225
+ 0.012843008041381837,
226
+ 0.012320768356323243,
227
+ 0.012326911926269531,
228
+ 0.012340224266052247,
229
+ 0.01232588768005371,
230
+ 0.012336128234863282,
231
+ 0.012306431770324706,
232
+ 0.012321791648864745,
233
+ 0.012308480262756348,
234
+ 0.012315648078918457,
235
+ 0.012310527801513671,
236
+ 0.012314623832702636,
237
+ 0.012310527801513671,
238
+ 0.012318719863891601,
239
+ 0.012324864387512208,
240
+ 0.012357631683349609,
241
+ 0.01232588768005371,
242
+ 0.012320768356323243,
243
+ 0.012323840141296387,
244
+ 0.012311552047729492,
245
+ 0.012386303901672363,
246
+ 0.012305407524108887,
247
+ 0.012306431770324706,
248
+ 0.01232588768005371,
249
+ 0.012333056449890138,
250
+ 0.012309503555297852,
251
+ 0.012308480262756348,
252
+ 0.012310527801513671,
253
+ 0.012324864387512208,
254
+ 0.012336128234863282,
255
+ 0.012329983711242675,
256
+ 0.012315648078918457,
257
+ 0.012296192169189453,
258
+ 0.012380160331726075,
259
+ 0.012311552047729492,
260
+ 0.012312576293945313,
261
+ 0.012640255928039551,
262
+ 0.012328960418701173,
263
+ 0.012311552047729492,
264
+ 0.012355584144592285,
265
+ 0.012302335739135742,
266
+ 0.012349439620971679,
267
+ 0.012324864387512208,
268
+ 0.012307456016540527,
269
+ 0.012305407524108887,
270
+ 0.012322815895080566,
271
+ 0.012309503555297852,
272
+ 0.012338175773620605,
273
+ 0.012315648078918457,
274
+ 0.012310527801513671,
275
+ 0.012307456016540527,
276
+ 0.012332032203674317,
277
+ 0.012324864387512208,
278
+ 0.012314623832702636,
279
+ 0.012326911926269531,
280
+ 0.012316672325134278,
281
+ 0.012324864387512208,
282
+ 0.012312576293945313,
283
+ 0.012306431770324706,
284
+ 0.012307456016540527,
285
+ 0.012316672325134278,
286
+ 0.012304384231567383,
287
+ 0.012309503555297852,
288
+ 0.012309503555297852,
289
+ 0.01234329605102539,
290
+ 0.012329983711242675,
291
+ 0.012337151527404786,
292
+ 0.012328960418701173,
293
+ 0.012327936172485352,
294
+ 0.012332032203674317,
295
+ 0.012331007957458496,
296
+ 0.012502016067504883,
297
+ 0.01249075222015381,
298
+ 0.012713983535766601,
299
+ 0.012414976119995117,
300
+ 0.012332032203674317,
301
+ 0.012322815895080566,
302
+ 0.012329983711242675,
303
+ 0.012315648078918457,
304
+ 0.012326911926269531,
305
+ 0.012357631683349609,
306
+ 0.012393471717834472,
307
+ 0.012378111839294433,
308
+ 0.013136896133422851,
309
+ 0.012919808387756348,
310
+ 0.01238425636291504,
311
+ 0.012332032203674317,
312
+ 0.012314623832702636,
313
+ 0.012323840141296387,
314
+ 0.012318719863891601,
315
+ 0.012307456016540527,
316
+ 0.012305407524108887,
317
+ 0.012307456016540527,
318
+ 0.012319744110107422,
319
+ 0.012339200019836426,
320
+ 0.012340224266052247,
321
+ 0.012339200019836426,
322
+ 0.012313599586486817,
323
+ 0.012305407524108887,
324
+ 0.012324864387512208,
325
+ 0.012462080001831055,
326
+ 0.01235148811340332,
327
+ 0.012307456016540527,
328
+ 0.012306431770324706,
329
+ 0.012324864387512208,
330
+ 0.01235968017578125,
331
+ 0.012331007957458496,
332
+ 0.012332032203674317,
333
+ 0.012319744110107422,
334
+ 0.012308480262756348,
335
+ 0.012307456016540527,
336
+ 0.012381183624267577,
337
+ 0.012323840141296387,
338
+ 0.012318719863891601,
339
+ 0.012314623832702636,
340
+ 0.012323840141296387,
341
+ 0.012313599586486817,
342
+ 0.012314623832702636,
343
+ 0.012303359985351562,
344
+ 0.012322815895080566,
345
+ 0.012299263954162597,
346
+ 0.012313599586486817,
347
+ 0.012302335739135742,
348
+ 0.012327936172485352,
349
+ 0.012308480262756348,
350
+ 0.012321791648864745,
351
+ 0.012307456016540527,
352
+ 0.012320768356323243,
353
+ 0.012324864387512208,
354
+ 0.012310527801513671,
355
+ 0.012307456016540527,
356
+ 0.012316672325134278,
357
+ 0.012312576293945313,
358
+ 0.012306431770324706,
359
+ 0.012303359985351562,
360
+ 0.012332032203674317,
361
+ 0.012324864387512208,
362
+ 0.012320768356323243,
363
+ 0.012317695617675782,
364
+ 0.012307456016540527,
365
+ 0.012313599586486817,
366
+ 0.012298239707946777,
367
+ 0.012305407524108887,
368
+ 0.012326911926269531,
369
+ 0.012320768356323243,
370
+ 0.012308480262756348,
371
+ 0.012406784057617188,
372
+ 0.012302335739135742,
373
+ 0.012319744110107422,
374
+ 0.012337151527404786,
375
+ 0.012338272094726562,
376
+ 0.01230838394165039,
377
+ 0.012319744110107422,
378
+ 0.012307456016540527,
379
+ 0.012310527801513671,
380
+ 0.012301312446594239,
381
+ 0.012298239707946777,
382
+ 0.012327936172485352,
383
+ 0.012320768356323243,
384
+ 0.012307456016540527,
385
+ 0.012338175773620605,
386
+ 0.012328960418701173,
387
+ 0.012306431770324706,
388
+ 0.012319744110107422,
389
+ 0.012312576293945313,
390
+ 0.012340224266052247,
391
+ 0.01285427188873291,
392
+ 0.012777471542358398,
393
+ 0.01233407974243164,
394
+ 0.012317695617675782,
395
+ 0.012346367835998535,
396
+ 0.012464127540588378,
397
+ 0.012313599586486817,
398
+ 0.012312576293945313,
399
+ 0.012304384231567383,
400
+ 0.012304384231567383,
401
+ 0.012315648078918457,
402
+ 0.012309503555297852,
403
+ 0.012486656188964844,
404
+ 0.012336128234863282,
405
+ 0.012307456016540527,
406
+ 0.012340224266052247,
407
+ 0.012339200019836426,
408
+ 0.012322815895080566,
409
+ 0.012326911926269531,
410
+ 0.012328960418701173,
411
+ 0.012310527801513671,
412
+ 0.012317695617675782,
413
+ 0.012297216415405274,
414
+ 0.012426239967346191,
415
+ 0.012308480262756348,
416
+ 0.012336128234863282,
417
+ 0.012319744110107422,
418
+ 0.012322815895080566,
419
+ 0.012360704421997071,
420
+ 0.012314623832702636,
421
+ 0.012328960418701173,
422
+ 0.012506112098693848,
423
+ 0.012314623832702636,
424
+ 0.012324864387512208,
425
+ 0.012317695617675782,
426
+ 0.012312576293945313,
427
+ 0.012311552047729492,
428
+ 0.012303359985351562,
429
+ 0.012299263954162597,
430
+ 0.012332032203674317,
431
+ 0.012316672325134278,
432
+ 0.012316672325134278,
433
+ 0.012312576293945313,
434
+ 0.012314623832702636,
435
+ 0.012313599586486817,
436
+ 0.012316672325134278,
437
+ 0.012368895530700684,
438
+ 0.012310527801513671,
439
+ 0.012301312446594239,
440
+ 0.012316672325134278,
441
+ 0.012315648078918457,
442
+ 0.012320768356323243,
443
+ 0.012328960418701173,
444
+ 0.012306431770324706,
445
+ 0.012315648078918457,
446
+ 0.012310527801513671,
447
+ 0.012303359985351562,
448
+ 0.012315648078918457,
449
+ 0.012312576293945313,
450
+ 0.012315648078918457,
451
+ 0.012313599586486817,
452
+ 0.012336128234863282,
453
+ 0.012315648078918457,
454
+ 0.012318719863891601,
455
+ 0.012345343589782716,
456
+ 0.012346367835998535,
457
+ 0.012316672325134278,
458
+ 0.012338239669799805,
459
+ 0.012300224304199218,
460
+ 0.012311552047729492,
461
+ 0.012319744110107422,
462
+ 0.01232588768005371
463
+ ]
464
+ },
465
+ "throughput": {
466
+ "unit": "tokens/s",
467
+ "value": 81.0256943008154
468
+ },
469
+ "energy": null,
470
+ "efficiency": null
471
+ }
472
+ }
473
+ }
2024-08-28/commit=c35d2ccf5a5ebcab24a0b9da3cb2527b3ae565a0/backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=True/benchmark.log ADDED
File without changes
2024-08-28/commit=c35d2ccf5a5ebcab24a0b9da3cb2527b3ae565a0/backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=True/benchmark_config.json ADDED
@@ -0,0 +1,104 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "name": "pytorch_generate",
3
+ "backend": {
4
+ "name": "pytorch",
5
+ "version": "2.4.0+cu121",
6
+ "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
7
+ "task": "text-generation",
8
+ "library": "transformers",
9
+ "model_type": "gemma",
10
+ "model": "google/gemma-2b",
11
+ "processor": "google/gemma-2b",
12
+ "device": "cuda",
13
+ "device_ids": "0",
14
+ "seed": 42,
15
+ "inter_op_num_threads": null,
16
+ "intra_op_num_threads": null,
17
+ "model_kwargs": {},
18
+ "processor_kwargs": {},
19
+ "no_weights": true,
20
+ "device_map": null,
21
+ "torch_dtype": "float16",
22
+ "eval_mode": true,
23
+ "to_bettertransformer": false,
24
+ "low_cpu_mem_usage": null,
25
+ "attn_implementation": null,
26
+ "cache_implementation": "static",
27
+ "autocast_enabled": false,
28
+ "autocast_dtype": null,
29
+ "torch_compile": true,
30
+ "torch_compile_target": "forward",
31
+ "torch_compile_config": {
32
+ "backend": "inductor",
33
+ "mode": "reduce-overhead",
34
+ "fullgraph": true
35
+ },
36
+ "quantization_scheme": null,
37
+ "quantization_config": {},
38
+ "deepspeed_inference": false,
39
+ "deepspeed_inference_config": {},
40
+ "peft_type": null,
41
+ "peft_config": {}
42
+ },
43
+ "scenario": {
44
+ "name": "inference",
45
+ "_target_": "optimum_benchmark.scenarios.inference.scenario.InferenceScenario",
46
+ "iterations": 2,
47
+ "duration": 0,
48
+ "warmup_runs": 10,
49
+ "input_shapes": {
50
+ "batch_size": 1,
51
+ "num_choices": 2,
52
+ "sequence_length": 7
53
+ },
54
+ "new_tokens": null,
55
+ "memory": true,
56
+ "latency": true,
57
+ "energy": false,
58
+ "forward_kwargs": {},
59
+ "generate_kwargs": {
60
+ "max_new_tokens": 128,
61
+ "min_new_tokens": 128,
62
+ "do_sample": false
63
+ },
64
+ "call_kwargs": {}
65
+ },
66
+ "launcher": {
67
+ "name": "process",
68
+ "_target_": "optimum_benchmark.launchers.process.launcher.ProcessLauncher",
69
+ "device_isolation": true,
70
+ "device_isolation_action": "warn",
71
+ "numactl": false,
72
+ "numactl_kwargs": {},
73
+ "start_method": "spawn"
74
+ },
75
+ "environment": {
76
+ "cpu": " AMD EPYC 7R32",
77
+ "cpu_count": 16,
78
+ "cpu_ram_mb": 66697.261056,
79
+ "system": "Linux",
80
+ "machine": "x86_64",
81
+ "platform": "Linux-5.10.223-211.872.amzn2.x86_64-x86_64-with-glibc2.29",
82
+ "processor": "x86_64",
83
+ "python_version": "3.8.10",
84
+ "gpu": [
85
+ "NVIDIA A10G"
86
+ ],
87
+ "gpu_count": 1,
88
+ "gpu_vram_mb": 24146608128,
89
+ "optimum_benchmark_version": "0.4.0",
90
+ "optimum_benchmark_commit": null,
91
+ "transformers_version": "4.45.0.dev0",
92
+ "transformers_commit": "c35d2ccf5a5ebcab24a0b9da3cb2527b3ae565a0",
93
+ "accelerate_version": "0.34.0.dev0",
94
+ "accelerate_commit": null,
95
+ "diffusers_version": null,
96
+ "diffusers_commit": null,
97
+ "optimum_version": "1.22.0.dev0",
98
+ "optimum_commit": null,
99
+ "timm_version": "0.9.16",
100
+ "timm_commit": null,
101
+ "peft_version": "0.12.1.dev0",
102
+ "peft_commit": null
103
+ }
104
+ }
2024-08-28/commit=c35d2ccf5a5ebcab24a0b9da3cb2527b3ae565a0/backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=True/benchmark_report.json ADDED
@@ -0,0 +1,367 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "load": {
3
+ "memory": {
4
+ "unit": "MB",
5
+ "max_ram": 1338.068992,
6
+ "max_global_vram": 6768.033792,
7
+ "max_process_vram": 0.0,
8
+ "max_reserved": 6138.363904,
9
+ "max_allocated": 6060.931072
10
+ },
11
+ "latency": {
12
+ "unit": "s",
13
+ "count": 1,
14
+ "total": 12.3825625,
15
+ "mean": 12.3825625,
16
+ "stdev": 0.0,
17
+ "p50": 12.3825625,
18
+ "p90": 12.3825625,
19
+ "p95": 12.3825625,
20
+ "p99": 12.3825625,
21
+ "values": [
22
+ 12.3825625
23
+ ]
24
+ },
25
+ "throughput": null,
26
+ "energy": null,
27
+ "efficiency": null
28
+ },
29
+ "prefill": {
30
+ "memory": {
31
+ "unit": "MB",
32
+ "max_ram": 1856.22528,
33
+ "max_global_vram": 6789.005312,
34
+ "max_process_vram": 0.0,
35
+ "max_reserved": 6138.363904,
36
+ "max_allocated": 5278.596608
37
+ },
38
+ "latency": {
39
+ "unit": "s",
40
+ "count": 2,
41
+ "total": 0.028297151565551758,
42
+ "mean": 0.014148575782775879,
43
+ "stdev": 0.0001519041061401362,
44
+ "p50": 0.014148575782775879,
45
+ "p90": 0.014270099067687989,
46
+ "p95": 0.014285289478302002,
47
+ "p99": 0.014297441806793213,
48
+ "values": [
49
+ 0.013996671676635743,
50
+ 0.014300479888916015
51
+ ]
52
+ },
53
+ "throughput": {
54
+ "unit": "tokens/s",
55
+ "value": 494.749443864281
56
+ },
57
+ "energy": null,
58
+ "efficiency": null
59
+ },
60
+ "decode": {
61
+ "memory": {
62
+ "unit": "MB",
63
+ "max_ram": 2026.012672,
64
+ "max_global_vram": 6071.779328,
65
+ "max_process_vram": 0.0,
66
+ "max_reserved": 5381.292032,
67
+ "max_allocated": 5282.647552
68
+ },
69
+ "latency": {
70
+ "unit": "s",
71
+ "count": 2,
72
+ "total": 3.135092407226563,
73
+ "mean": 1.5675462036132815,
74
+ "stdev": 0.0012463989257812669,
75
+ "p50": 1.5675462036132815,
76
+ "p90": 1.5685433227539063,
77
+ "p95": 1.5686679626464846,
78
+ "p99": 1.568767674560547,
79
+ "values": [
80
+ 1.5687926025390626,
81
+ 1.5662998046875
82
+ ]
83
+ },
84
+ "throughput": {
85
+ "unit": "tokens/s",
86
+ "value": 81.0183455564231
87
+ },
88
+ "energy": null,
89
+ "efficiency": null
90
+ },
91
+ "per_token": {
92
+ "memory": null,
93
+ "latency": {
94
+ "unit": "s",
95
+ "count": 254,
96
+ "total": 3.1348080654144317,
97
+ "mean": 0.012341764037064678,
98
+ "stdev": 9.346761100570707e-05,
99
+ "p50": 0.012319744110107422,
100
+ "p90": 0.012359065628051757,
101
+ "p95": 0.012462796640396118,
102
+ "p99": 0.012848302049636842,
103
+ "values": [
104
+ 0.012355584144592285,
105
+ 0.012345343589782716,
106
+ 0.01233510398864746,
107
+ 0.012316672325134278,
108
+ 0.012319744110107422,
109
+ 0.012336128234863282,
110
+ 0.012302335739135742,
111
+ 0.012331007957458496,
112
+ 0.012316672325134278,
113
+ 0.01233407974243164,
114
+ 0.012326911926269531,
115
+ 0.01231980800628662,
116
+ 0.012323776245117187,
117
+ 0.012322815895080566,
118
+ 0.012337151527404786,
119
+ 0.012481535911560059,
120
+ 0.012843008041381837,
121
+ 0.012320768356323243,
122
+ 0.012326911926269531,
123
+ 0.012340224266052247,
124
+ 0.01232588768005371,
125
+ 0.012336128234863282,
126
+ 0.012306431770324706,
127
+ 0.012321791648864745,
128
+ 0.012308480262756348,
129
+ 0.012315648078918457,
130
+ 0.012310527801513671,
131
+ 0.012314623832702636,
132
+ 0.012310527801513671,
133
+ 0.012318719863891601,
134
+ 0.012324864387512208,
135
+ 0.012357631683349609,
136
+ 0.01232588768005371,
137
+ 0.012320768356323243,
138
+ 0.012323840141296387,
139
+ 0.012311552047729492,
140
+ 0.012386303901672363,
141
+ 0.012305407524108887,
142
+ 0.012306431770324706,
143
+ 0.01232588768005371,
144
+ 0.012333056449890138,
145
+ 0.012309503555297852,
146
+ 0.012308480262756348,
147
+ 0.012310527801513671,
148
+ 0.012324864387512208,
149
+ 0.012336128234863282,
150
+ 0.012329983711242675,
151
+ 0.012315648078918457,
152
+ 0.012296192169189453,
153
+ 0.012380160331726075,
154
+ 0.012311552047729492,
155
+ 0.012312576293945313,
156
+ 0.012640255928039551,
157
+ 0.012328960418701173,
158
+ 0.012311552047729492,
159
+ 0.012355584144592285,
160
+ 0.012302335739135742,
161
+ 0.012349439620971679,
162
+ 0.012324864387512208,
163
+ 0.012307456016540527,
164
+ 0.012305407524108887,
165
+ 0.012322815895080566,
166
+ 0.012309503555297852,
167
+ 0.012338175773620605,
168
+ 0.012315648078918457,
169
+ 0.012310527801513671,
170
+ 0.012307456016540527,
171
+ 0.012332032203674317,
172
+ 0.012324864387512208,
173
+ 0.012314623832702636,
174
+ 0.012326911926269531,
175
+ 0.012316672325134278,
176
+ 0.012324864387512208,
177
+ 0.012312576293945313,
178
+ 0.012306431770324706,
179
+ 0.012307456016540527,
180
+ 0.012316672325134278,
181
+ 0.012304384231567383,
182
+ 0.012309503555297852,
183
+ 0.012309503555297852,
184
+ 0.01234329605102539,
185
+ 0.012329983711242675,
186
+ 0.012337151527404786,
187
+ 0.012328960418701173,
188
+ 0.012327936172485352,
189
+ 0.012332032203674317,
190
+ 0.012331007957458496,
191
+ 0.012502016067504883,
192
+ 0.01249075222015381,
193
+ 0.012713983535766601,
194
+ 0.012414976119995117,
195
+ 0.012332032203674317,
196
+ 0.012322815895080566,
197
+ 0.012329983711242675,
198
+ 0.012315648078918457,
199
+ 0.012326911926269531,
200
+ 0.012357631683349609,
201
+ 0.012393471717834472,
202
+ 0.012378111839294433,
203
+ 0.013136896133422851,
204
+ 0.012919808387756348,
205
+ 0.01238425636291504,
206
+ 0.012332032203674317,
207
+ 0.012314623832702636,
208
+ 0.012323840141296387,
209
+ 0.012318719863891601,
210
+ 0.012307456016540527,
211
+ 0.012305407524108887,
212
+ 0.012307456016540527,
213
+ 0.012319744110107422,
214
+ 0.012339200019836426,
215
+ 0.012340224266052247,
216
+ 0.012339200019836426,
217
+ 0.012313599586486817,
218
+ 0.012305407524108887,
219
+ 0.012324864387512208,
220
+ 0.012462080001831055,
221
+ 0.01235148811340332,
222
+ 0.012307456016540527,
223
+ 0.012306431770324706,
224
+ 0.012324864387512208,
225
+ 0.01235968017578125,
226
+ 0.012331007957458496,
227
+ 0.012332032203674317,
228
+ 0.012319744110107422,
229
+ 0.012308480262756348,
230
+ 0.012307456016540527,
231
+ 0.012381183624267577,
232
+ 0.012323840141296387,
233
+ 0.012318719863891601,
234
+ 0.012314623832702636,
235
+ 0.012323840141296387,
236
+ 0.012313599586486817,
237
+ 0.012314623832702636,
238
+ 0.012303359985351562,
239
+ 0.012322815895080566,
240
+ 0.012299263954162597,
241
+ 0.012313599586486817,
242
+ 0.012302335739135742,
243
+ 0.012327936172485352,
244
+ 0.012308480262756348,
245
+ 0.012321791648864745,
246
+ 0.012307456016540527,
247
+ 0.012320768356323243,
248
+ 0.012324864387512208,
249
+ 0.012310527801513671,
250
+ 0.012307456016540527,
251
+ 0.012316672325134278,
252
+ 0.012312576293945313,
253
+ 0.012306431770324706,
254
+ 0.012303359985351562,
255
+ 0.012332032203674317,
256
+ 0.012324864387512208,
257
+ 0.012320768356323243,
258
+ 0.012317695617675782,
259
+ 0.012307456016540527,
260
+ 0.012313599586486817,
261
+ 0.012298239707946777,
262
+ 0.012305407524108887,
263
+ 0.012326911926269531,
264
+ 0.012320768356323243,
265
+ 0.012308480262756348,
266
+ 0.012406784057617188,
267
+ 0.012302335739135742,
268
+ 0.012319744110107422,
269
+ 0.012337151527404786,
270
+ 0.012338272094726562,
271
+ 0.01230838394165039,
272
+ 0.012319744110107422,
273
+ 0.012307456016540527,
274
+ 0.012310527801513671,
275
+ 0.012301312446594239,
276
+ 0.012298239707946777,
277
+ 0.012327936172485352,
278
+ 0.012320768356323243,
279
+ 0.012307456016540527,
280
+ 0.012338175773620605,
281
+ 0.012328960418701173,
282
+ 0.012306431770324706,
283
+ 0.012319744110107422,
284
+ 0.012312576293945313,
285
+ 0.012340224266052247,
286
+ 0.01285427188873291,
287
+ 0.012777471542358398,
288
+ 0.01233407974243164,
289
+ 0.012317695617675782,
290
+ 0.012346367835998535,
291
+ 0.012464127540588378,
292
+ 0.012313599586486817,
293
+ 0.012312576293945313,
294
+ 0.012304384231567383,
295
+ 0.012304384231567383,
296
+ 0.012315648078918457,
297
+ 0.012309503555297852,
298
+ 0.012486656188964844,
299
+ 0.012336128234863282,
300
+ 0.012307456016540527,
301
+ 0.012340224266052247,
302
+ 0.012339200019836426,
303
+ 0.012322815895080566,
304
+ 0.012326911926269531,
305
+ 0.012328960418701173,
306
+ 0.012310527801513671,
307
+ 0.012317695617675782,
308
+ 0.012297216415405274,
309
+ 0.012426239967346191,
310
+ 0.012308480262756348,
311
+ 0.012336128234863282,
312
+ 0.012319744110107422,
313
+ 0.012322815895080566,
314
+ 0.012360704421997071,
315
+ 0.012314623832702636,
316
+ 0.012328960418701173,
317
+ 0.012506112098693848,
318
+ 0.012314623832702636,
319
+ 0.012324864387512208,
320
+ 0.012317695617675782,
321
+ 0.012312576293945313,
322
+ 0.012311552047729492,
323
+ 0.012303359985351562,
324
+ 0.012299263954162597,
325
+ 0.012332032203674317,
326
+ 0.012316672325134278,
327
+ 0.012316672325134278,
328
+ 0.012312576293945313,
329
+ 0.012314623832702636,
330
+ 0.012313599586486817,
331
+ 0.012316672325134278,
332
+ 0.012368895530700684,
333
+ 0.012310527801513671,
334
+ 0.012301312446594239,
335
+ 0.012316672325134278,
336
+ 0.012315648078918457,
337
+ 0.012320768356323243,
338
+ 0.012328960418701173,
339
+ 0.012306431770324706,
340
+ 0.012315648078918457,
341
+ 0.012310527801513671,
342
+ 0.012303359985351562,
343
+ 0.012315648078918457,
344
+ 0.012312576293945313,
345
+ 0.012315648078918457,
346
+ 0.012313599586486817,
347
+ 0.012336128234863282,
348
+ 0.012315648078918457,
349
+ 0.012318719863891601,
350
+ 0.012345343589782716,
351
+ 0.012346367835998535,
352
+ 0.012316672325134278,
353
+ 0.012338239669799805,
354
+ 0.012300224304199218,
355
+ 0.012311552047729492,
356
+ 0.012319744110107422,
357
+ 0.01232588768005371
358
+ ]
359
+ },
360
+ "throughput": {
361
+ "unit": "tokens/s",
362
+ "value": 81.0256943008154
363
+ },
364
+ "energy": null,
365
+ "efficiency": null
366
+ }
367
+ }
2024-08-28/commit=c35d2ccf5a5ebcab24a0b9da3cb2527b3ae565a0/backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=True/summary.json ADDED
@@ -0,0 +1,13 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "model": "google/gemma-2b",
3
+ "commit": "c35d2ccf5a5ebcab24a0b9da3cb2527b3ae565a0",
4
+ "config": "backend.cache_implementation=static,backend.torch_compile=True",
5
+ "metrics": {
6
+ "prefill.latency.mean": 0.014148575782775879,
7
+ "prefill.throughput.value": 494.749443864281,
8
+ "decode.latency.mean": 1.5675462036132815,
9
+ "decode.throughput.value": 81.0183455564231,
10
+ "per_token.latency.mean": 0.012341764037064678,
11
+ "per_token.throughput.value": 81.0256943008154
12
+ }
13
+ }
2024-08-28/commit=c35d2ccf5a5ebcab24a0b9da3cb2527b3ae565a0/multirun.yaml ADDED
@@ -0,0 +1,234 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ hydra:
2
+ run:
3
+ dir: _benchmark/tmphb_ugmdi/commit=c35d2ccf5a5ebcab24a0b9da3cb2527b3ae565a0/${hydra.job.override_dirname}
4
+ sweep:
5
+ dir: _benchmark/tmphb_ugmdi/commit=c35d2ccf5a5ebcab24a0b9da3cb2527b3ae565a0
6
+ subdir: ${hydra.job.override_dirname}
7
+ launcher:
8
+ _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher
9
+ sweeper:
10
+ _target_: hydra._internal.core_plugins.basic_sweeper.BasicSweeper
11
+ max_batch_size: null
12
+ params: null
13
+ help:
14
+ app_name: ${hydra.job.name}
15
+ header: '${hydra.help.app_name} is powered by Hydra.
16
+
17
+ '
18
+ footer: 'Powered by Hydra (https://hydra.cc)
19
+
20
+ Use --hydra-help to view Hydra specific help
21
+
22
+ '
23
+ template: '${hydra.help.header}
24
+
25
+ == Configuration groups ==
26
+
27
+ Compose your configuration from those groups (group=option)
28
+
29
+
30
+ $APP_CONFIG_GROUPS
31
+
32
+
33
+ == Config ==
34
+
35
+ Override anything in the config (foo.bar=value)
36
+
37
+
38
+ $CONFIG
39
+
40
+
41
+ ${hydra.help.footer}
42
+
43
+ '
44
+ hydra_help:
45
+ template: 'Hydra (${hydra.runtime.version})
46
+
47
+ See https://hydra.cc for more info.
48
+
49
+
50
+ == Flags ==
51
+
52
+ $FLAGS_HELP
53
+
54
+
55
+ == Configuration groups ==
56
+
57
+ Compose your configuration from those groups (For example, append hydra/job_logging=disabled
58
+ to command line)
59
+
60
+
61
+ $HYDRA_CONFIG_GROUPS
62
+
63
+
64
+ Use ''--cfg hydra'' to Show the Hydra config.
65
+
66
+ '
67
+ hydra_help: ???
68
+ hydra_logging:
69
+ version: 1
70
+ root:
71
+ level: ERROR
72
+ disable_existing_loggers: true
73
+ job_logging:
74
+ version: 1
75
+ root:
76
+ level: ERROR
77
+ disable_existing_loggers: true
78
+ env: {}
79
+ mode: MULTIRUN
80
+ searchpath: []
81
+ callbacks: {}
82
+ output_subdir: .hydra
83
+ overrides:
84
+ hydra:
85
+ - hydra/job_logging=disabled
86
+ - hydra/hydra_logging=disabled
87
+ - hydra.sweep.dir=_benchmark/tmphb_ugmdi/commit\=c35d2ccf5a5ebcab24a0b9da3cb2527b3ae565a0
88
+ - hydra.run.dir=_benchmark/tmphb_ugmdi/commit\=c35d2ccf5a5ebcab24a0b9da3cb2527b3ae565a0/${hydra.job.override_dirname}
89
+ - hydra.mode=MULTIRUN
90
+ task:
91
+ - backend.model=google/gemma-2b
92
+ - backend.cache_implementation=null,static
93
+ - backend.torch_compile=false,true
94
+ job:
95
+ name: cli
96
+ chdir: true
97
+ override_dirname: backend.cache_implementation=null,static,backend.model=google/gemma-2b,backend.torch_compile=false,true
98
+ id: ???
99
+ num: ???
100
+ config_name: generation
101
+ env_set:
102
+ OVERRIDE_BENCHMARKS: '1'
103
+ LOG_LEVEL: WARN
104
+ env_copy: []
105
+ config:
106
+ override_dirname:
107
+ kv_sep: '='
108
+ item_sep: ','
109
+ exclude_keys: []
110
+ runtime:
111
+ version: 1.3.2
112
+ version_base: '1.3'
113
+ cwd: /transformers
114
+ config_sources:
115
+ - path: hydra.conf
116
+ schema: pkg
117
+ provider: hydra
118
+ - path: optimum_benchmark
119
+ schema: pkg
120
+ provider: main
121
+ - path: /transformers/benchmark/config
122
+ schema: file
123
+ provider: command-line
124
+ - path: ''
125
+ schema: structured
126
+ provider: schema
127
+ output_dir: ???
128
+ choices:
129
+ backend: pytorch
130
+ launcher: process
131
+ scenario: inference
132
+ hydra/env: default
133
+ hydra/callbacks: null
134
+ hydra/job_logging: disabled
135
+ hydra/hydra_logging: disabled
136
+ hydra/hydra_help: default
137
+ hydra/help: default
138
+ hydra/sweeper: basic
139
+ hydra/launcher: basic
140
+ hydra/output: default
141
+ verbose: false
142
+ name: pytorch_generate
143
+ backend:
144
+ name: pytorch
145
+ version: 2.4.0+cu121
146
+ _target_: optimum_benchmark.backends.pytorch.backend.PyTorchBackend
147
+ task: null
148
+ library: null
149
+ model_type: null
150
+ model: google/gemma-2b
151
+ processor: null
152
+ device: cuda
153
+ device_ids: '0'
154
+ seed: 42
155
+ inter_op_num_threads: null
156
+ intra_op_num_threads: null
157
+ model_kwargs: {}
158
+ processor_kwargs: {}
159
+ no_weights: true
160
+ device_map: null
161
+ torch_dtype: float16
162
+ eval_mode: true
163
+ to_bettertransformer: false
164
+ low_cpu_mem_usage: null
165
+ attn_implementation: null
166
+ cache_implementation: static
167
+ autocast_enabled: false
168
+ autocast_dtype: null
169
+ torch_compile: true
170
+ torch_compile_target: forward
171
+ torch_compile_config:
172
+ backend: inductor
173
+ mode: reduce-overhead
174
+ fullgraph: true
175
+ quantization_scheme: null
176
+ quantization_config: {}
177
+ deepspeed_inference: false
178
+ deepspeed_inference_config: {}
179
+ peft_type: null
180
+ peft_config: {}
181
+ scenario:
182
+ name: inference
183
+ _target_: optimum_benchmark.scenarios.inference.scenario.InferenceScenario
184
+ iterations: 2
185
+ duration: 0
186
+ warmup_runs: 10
187
+ input_shapes:
188
+ batch_size: 1
189
+ sequence_length: 7
190
+ new_tokens: null
191
+ memory: true
192
+ latency: true
193
+ energy: false
194
+ forward_kwargs: {}
195
+ generate_kwargs:
196
+ max_new_tokens: 128
197
+ min_new_tokens: 128
198
+ do_sample: false
199
+ call_kwargs: {}
200
+ launcher:
201
+ name: process
202
+ _target_: optimum_benchmark.launchers.process.launcher.ProcessLauncher
203
+ device_isolation: true
204
+ device_isolation_action: warn
205
+ numactl: false
206
+ numactl_kwargs: {}
207
+ start_method: spawn
208
+ environment:
209
+ cpu: ' AMD EPYC 7R32'
210
+ cpu_count: 16
211
+ cpu_ram_mb: 66697.261056
212
+ system: Linux
213
+ machine: x86_64
214
+ platform: Linux-5.10.223-211.872.amzn2.x86_64-x86_64-with-glibc2.29
215
+ processor: x86_64
216
+ python_version: 3.8.10
217
+ gpu:
218
+ - NVIDIA A10G
219
+ gpu_count: 1
220
+ gpu_vram_mb: 24146608128
221
+ optimum_benchmark_version: 0.4.0
222
+ optimum_benchmark_commit: null
223
+ transformers_version: 4.45.0.dev0
224
+ transformers_commit: c35d2ccf5a5ebcab24a0b9da3cb2527b3ae565a0
225
+ accelerate_version: 0.34.0.dev0
226
+ accelerate_commit: null
227
+ diffusers_version: null
228
+ diffusers_commit: null
229
+ optimum_version: 1.22.0.dev0
230
+ optimum_commit: null
231
+ timm_version: 0.9.16
232
+ timm_commit: null
233
+ peft_version: 0.12.1.dev0
234
+ peft_commit: null
2024-08-28/summaries.json ADDED
@@ -0,0 +1,41 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ [
2
+ {
3
+ "model": "google/gemma-2b",
4
+ "commit": "c35d2ccf5a5ebcab24a0b9da3cb2527b3ae565a0",
5
+ "config": "backend.cache_implementation=null,backend.torch_compile=False",
6
+ "metrics": {
7
+ "prefill.latency.mean": 0.02051244831085205,
8
+ "prefill.throughput.value": 341.25619204103833,
9
+ "decode.latency.mean": 2.427037475585937,
10
+ "decode.throughput.value": 52.32716893641684,
11
+ "per_token.latency.mean": 0.019109263142262856,
12
+ "per_token.throughput.value": 52.33064156138798
13
+ }
14
+ },
15
+ {
16
+ "model": "google/gemma-2b",
17
+ "commit": "c35d2ccf5a5ebcab24a0b9da3cb2527b3ae565a0",
18
+ "config": "backend.cache_implementation=static,backend.torch_compile=False",
19
+ "metrics": {
20
+ "prefill.latency.mean": 0.021654767990112303,
21
+ "prefill.throughput.value": 323.25444461913617,
22
+ "decode.latency.mean": 2.5708712158203126,
23
+ "decode.throughput.value": 49.399596221888885,
24
+ "per_token.latency.mean": 0.02024205705687756,
25
+ "per_token.throughput.value": 49.402093729413444
26
+ }
27
+ },
28
+ {
29
+ "model": "google/gemma-2b",
30
+ "commit": "c35d2ccf5a5ebcab24a0b9da3cb2527b3ae565a0",
31
+ "config": "backend.cache_implementation=static,backend.torch_compile=True",
32
+ "metrics": {
33
+ "prefill.latency.mean": 0.014148575782775879,
34
+ "prefill.throughput.value": 494.749443864281,
35
+ "decode.latency.mean": 1.5675462036132815,
36
+ "decode.throughput.value": 81.0183455564231,
37
+ "per_token.latency.mean": 0.012341764037064678,
38
+ "per_token.throughput.value": 81.0256943008154
39
+ }
40
+ }
41
+ ]
2024-08-28/summary.json ADDED
@@ -0,0 +1,40 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "google/gemma-2b": {
3
+ "backend.cache_implementation=null,backend.torch_compile=False": {
4
+ "c35d2ccf5a5ebcab24a0b9da3cb2527b3ae565a0": {
5
+ "metrics": {
6
+ "prefill.latency.mean": 0.02051244831085205,
7
+ "prefill.throughput.value": 341.25619204103833,
8
+ "decode.latency.mean": 2.427037475585937,
9
+ "decode.throughput.value": 52.32716893641684,
10
+ "per_token.latency.mean": 0.019109263142262856,
11
+ "per_token.throughput.value": 52.33064156138798
12
+ }
13
+ }
14
+ },
15
+ "backend.cache_implementation=static,backend.torch_compile=False": {
16
+ "c35d2ccf5a5ebcab24a0b9da3cb2527b3ae565a0": {
17
+ "metrics": {
18
+ "prefill.latency.mean": 0.021654767990112303,
19
+ "prefill.throughput.value": 323.25444461913617,
20
+ "decode.latency.mean": 2.5708712158203126,
21
+ "decode.throughput.value": 49.399596221888885,
22
+ "per_token.latency.mean": 0.02024205705687756,
23
+ "per_token.throughput.value": 49.402093729413444
24
+ }
25
+ }
26
+ },
27
+ "backend.cache_implementation=static,backend.torch_compile=True": {
28
+ "c35d2ccf5a5ebcab24a0b9da3cb2527b3ae565a0": {
29
+ "metrics": {
30
+ "prefill.latency.mean": 0.014148575782775879,
31
+ "prefill.throughput.value": 494.749443864281,
32
+ "decode.latency.mean": 1.5675462036132815,
33
+ "decode.throughput.value": 81.0183455564231,
34
+ "per_token.latency.mean": 0.012341764037064678,
35
+ "per_token.throughput.value": 81.0256943008154
36
+ }
37
+ }
38
+ }
39
+ }
40
+ }