hf-transformers-bot commited on
Commit
7177b2d
·
verified ·
1 Parent(s): 73258fa

Upload folder using huggingface_hub

Browse files
Files changed (32) hide show
  1. 2024-06-27/commit=11138ca013add0041753aab276e83261c38b08ac/backend.cache_implementation=null,backend.model=google/gemma-2b,backend.torch_compile=False/.hydra/config.yaml +91 -0
  2. 2024-06-27/commit=11138ca013add0041753aab276e83261c38b08ac/backend.cache_implementation=null,backend.model=google/gemma-2b,backend.torch_compile=False/.hydra/hydra.yaml +141 -0
  3. 2024-06-27/commit=11138ca013add0041753aab276e83261c38b08ac/backend.cache_implementation=null,backend.model=google/gemma-2b,backend.torch_compile=False/.hydra/overrides.yaml +3 -0
  4. 2024-06-27/commit=11138ca013add0041753aab276e83261c38b08ac/backend.cache_implementation=null,backend.model=google/gemma-2b,backend.torch_compile=False/benchmark.json +443 -0
  5. 2024-06-27/commit=11138ca013add0041753aab276e83261c38b08ac/backend.cache_implementation=null,backend.model=google/gemma-2b,backend.torch_compile=False/benchmark.log +0 -0
  6. 2024-06-27/commit=11138ca013add0041753aab276e83261c38b08ac/backend.cache_implementation=null,backend.model=google/gemma-2b,backend.torch_compile=False/benchmark_config.json +102 -0
  7. 2024-06-27/commit=11138ca013add0041753aab276e83261c38b08ac/backend.cache_implementation=null,backend.model=google/gemma-2b,backend.torch_compile=False/benchmark_report.json +339 -0
  8. 2024-06-27/commit=11138ca013add0041753aab276e83261c38b08ac/backend.cache_implementation=null,backend.model=google/gemma-2b,backend.torch_compile=False/summary.json +13 -0
  9. 2024-06-27/commit=11138ca013add0041753aab276e83261c38b08ac/backend.cache_implementation=null,backend.model=google/gemma-2b,backend.torch_compile=True/.hydra/config.yaml +91 -0
  10. 2024-06-27/commit=11138ca013add0041753aab276e83261c38b08ac/backend.cache_implementation=null,backend.model=google/gemma-2b,backend.torch_compile=True/.hydra/hydra.yaml +141 -0
  11. 2024-06-27/commit=11138ca013add0041753aab276e83261c38b08ac/backend.cache_implementation=null,backend.model=google/gemma-2b,backend.torch_compile=True/.hydra/overrides.yaml +3 -0
  12. 2024-06-27/commit=11138ca013add0041753aab276e83261c38b08ac/backend.cache_implementation=null,backend.model=google/gemma-2b,backend.torch_compile=True/benchmark.log +1 -0
  13. 2024-06-27/commit=11138ca013add0041753aab276e83261c38b08ac/backend.cache_implementation=null,backend.model=google/gemma-2b,backend.torch_compile=True/benchmark_config.json +102 -0
  14. 2024-06-27/commit=11138ca013add0041753aab276e83261c38b08ac/backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=False/.hydra/config.yaml +91 -0
  15. 2024-06-27/commit=11138ca013add0041753aab276e83261c38b08ac/backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=False/.hydra/hydra.yaml +141 -0
  16. 2024-06-27/commit=11138ca013add0041753aab276e83261c38b08ac/backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=False/.hydra/overrides.yaml +3 -0
  17. 2024-06-27/commit=11138ca013add0041753aab276e83261c38b08ac/backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=False/benchmark.json +443 -0
  18. 2024-06-27/commit=11138ca013add0041753aab276e83261c38b08ac/backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=False/benchmark.log +0 -0
  19. 2024-06-27/commit=11138ca013add0041753aab276e83261c38b08ac/backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=False/benchmark_config.json +102 -0
  20. 2024-06-27/commit=11138ca013add0041753aab276e83261c38b08ac/backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=False/benchmark_report.json +339 -0
  21. 2024-06-27/commit=11138ca013add0041753aab276e83261c38b08ac/backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=False/summary.json +13 -0
  22. 2024-06-27/commit=11138ca013add0041753aab276e83261c38b08ac/backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=True/.hydra/config.yaml +91 -0
  23. 2024-06-27/commit=11138ca013add0041753aab276e83261c38b08ac/backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=True/.hydra/hydra.yaml +141 -0
  24. 2024-06-27/commit=11138ca013add0041753aab276e83261c38b08ac/backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=True/.hydra/overrides.yaml +3 -0
  25. 2024-06-27/commit=11138ca013add0041753aab276e83261c38b08ac/backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=True/benchmark.json +443 -0
  26. 2024-06-27/commit=11138ca013add0041753aab276e83261c38b08ac/backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=True/benchmark.log +0 -0
  27. 2024-06-27/commit=11138ca013add0041753aab276e83261c38b08ac/backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=True/benchmark_config.json +102 -0
  28. 2024-06-27/commit=11138ca013add0041753aab276e83261c38b08ac/backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=True/benchmark_report.json +339 -0
  29. 2024-06-27/commit=11138ca013add0041753aab276e83261c38b08ac/backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=True/summary.json +13 -0
  30. 2024-06-27/commit=11138ca013add0041753aab276e83261c38b08ac/multirun.yaml +232 -0
  31. 2024-06-27/summaries.json +41 -0
  32. 2024-06-27/summary.json +40 -0
2024-06-27/commit=11138ca013add0041753aab276e83261c38b08ac/backend.cache_implementation=null,backend.model=google/gemma-2b,backend.torch_compile=False/.hydra/config.yaml ADDED
@@ -0,0 +1,91 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ name: pytorch_generate
2
+ backend:
3
+ name: pytorch
4
+ version: 2.3.0+cu121
5
+ _target_: optimum_benchmark.backends.pytorch.backend.PyTorchBackend
6
+ task: null
7
+ library: null
8
+ model: google/gemma-2b
9
+ processor: null
10
+ device: cuda
11
+ device_ids: '0'
12
+ seed: 42
13
+ inter_op_num_threads: null
14
+ intra_op_num_threads: null
15
+ model_kwargs: {}
16
+ processor_kwargs: {}
17
+ hub_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
+ latency: true
51
+ memory: 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
+ start_method: spawn
65
+ environment:
66
+ cpu: ' AMD EPYC 7R32'
67
+ cpu_count: 16
68
+ cpu_ram_mb: 66697.29792
69
+ system: Linux
70
+ machine: x86_64
71
+ platform: Linux-5.10.218-208.862.amzn2.x86_64-x86_64-with-glibc2.29
72
+ processor: x86_64
73
+ python_version: 3.8.10
74
+ gpu:
75
+ - NVIDIA A10G
76
+ gpu_count: 1
77
+ gpu_vram_mb: 24146608128
78
+ optimum_benchmark_version: 0.2.1
79
+ optimum_benchmark_commit: null
80
+ transformers_version: 4.42.0.dev0
81
+ transformers_commit: 11138ca013add0041753aab276e83261c38b08ac
82
+ accelerate_version: 0.32.0.dev0
83
+ accelerate_commit: null
84
+ diffusers_version: null
85
+ diffusers_commit: null
86
+ optimum_version: 1.21.0.dev0
87
+ optimum_commit: null
88
+ timm_version: 0.9.16
89
+ timm_commit: null
90
+ peft_version: 0.11.2.dev0
91
+ peft_commit: null
2024-06-27/commit=11138ca013add0041753aab276e83261c38b08ac/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/tmp039cvp9i/commit=11138ca013add0041753aab276e83261c38b08ac/${hydra.job.override_dirname}
4
+ sweep:
5
+ dir: _benchmark/tmp039cvp9i/commit=11138ca013add0041753aab276e83261c38b08ac
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
+ $HYDRA_CONFIG_GROUPS
62
+
63
+
64
+ Use ''--cfg hydra'' to Show the Hydra config.
65
+
66
+ '
67
+ hydra_help: ???
68
+ hydra_logging:
69
+ version: 1
70
+ root:
71
+ level: ERROR
72
+ disable_existing_loggers: true
73
+ job_logging:
74
+ version: 1
75
+ root:
76
+ level: ERROR
77
+ disable_existing_loggers: true
78
+ env: {}
79
+ mode: MULTIRUN
80
+ searchpath: []
81
+ callbacks: {}
82
+ output_subdir: .hydra
83
+ overrides:
84
+ hydra:
85
+ - hydra/job_logging=disabled
86
+ - hydra/hydra_logging=disabled
87
+ - hydra.sweep.dir=_benchmark/tmp039cvp9i/commit\=11138ca013add0041753aab276e83261c38b08ac
88
+ - hydra.run.dir=_benchmark/tmp039cvp9i/commit\=11138ca013add0041753aab276e83261c38b08ac/${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/tmp039cvp9i/commit=11138ca013add0041753aab276e83261c38b08ac/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
2024-06-27/commit=11138ca013add0041753aab276e83261c38b08ac/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
2024-06-27/commit=11138ca013add0041753aab276e83261c38b08ac/backend.cache_implementation=null,backend.model=google/gemma-2b,backend.torch_compile=False/benchmark.json ADDED
@@ -0,0 +1,443 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "config": {
3
+ "name": "pytorch_generate",
4
+ "backend": {
5
+ "name": "pytorch",
6
+ "version": "2.3.0+cu121",
7
+ "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
8
+ "task": "text-generation",
9
+ "library": "transformers",
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
+ "hub_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
+ "latency": true,
57
+ "memory": 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
+ "start_method": "spawn"
73
+ },
74
+ "environment": {
75
+ "cpu": " AMD EPYC 7R32",
76
+ "cpu_count": 16,
77
+ "cpu_ram_mb": 66697.29792,
78
+ "system": "Linux",
79
+ "machine": "x86_64",
80
+ "platform": "Linux-5.10.218-208.862.amzn2.x86_64-x86_64-with-glibc2.29",
81
+ "processor": "x86_64",
82
+ "python_version": "3.8.10",
83
+ "gpu": [
84
+ "NVIDIA A10G"
85
+ ],
86
+ "gpu_count": 1,
87
+ "gpu_vram_mb": 24146608128,
88
+ "optimum_benchmark_version": "0.2.1",
89
+ "optimum_benchmark_commit": null,
90
+ "transformers_version": "4.42.0.dev0",
91
+ "transformers_commit": "11138ca013add0041753aab276e83261c38b08ac",
92
+ "accelerate_version": "0.32.0.dev0",
93
+ "accelerate_commit": null,
94
+ "diffusers_version": null,
95
+ "diffusers_commit": null,
96
+ "optimum_version": "1.21.0.dev0",
97
+ "optimum_commit": null,
98
+ "timm_version": "0.9.16",
99
+ "timm_commit": null,
100
+ "peft_version": "0.11.2.dev0",
101
+ "peft_commit": null
102
+ }
103
+ },
104
+ "report": {
105
+ "prefill": {
106
+ "memory": {
107
+ "unit": "MB",
108
+ "max_ram": 1716.416512,
109
+ "max_global_vram": 6793.199616,
110
+ "max_process_vram": 0.0,
111
+ "max_reserved": 6146.752512,
112
+ "max_allocated": 5034.576896
113
+ },
114
+ "latency": {
115
+ "unit": "s",
116
+ "count": 2,
117
+ "total": 0.04130000114440918,
118
+ "mean": 0.02065000057220459,
119
+ "stdev": 0.0006246557235717771,
120
+ "p50": 0.02065000057220459,
121
+ "p90": 0.02114972515106201,
122
+ "p95": 0.02121219072341919,
123
+ "p99": 0.021262163181304933,
124
+ "values": [
125
+ 0.021274656295776368,
126
+ 0.020025344848632814
127
+ ]
128
+ },
129
+ "throughput": {
130
+ "unit": "tokens/s",
131
+ "value": 338.98304145435094
132
+ },
133
+ "energy": null,
134
+ "efficiency": null
135
+ },
136
+ "decode": {
137
+ "memory": {
138
+ "unit": "MB",
139
+ "max_ram": 1716.506624,
140
+ "max_global_vram": 6795.296768,
141
+ "max_process_vram": 0.0,
142
+ "max_reserved": 6148.849664,
143
+ "max_allocated": 5034.577408
144
+ },
145
+ "latency": {
146
+ "unit": "s",
147
+ "count": 2,
148
+ "total": 4.961692138671875,
149
+ "mean": 2.4808460693359375,
150
+ "stdev": 0.03853210449218736,
151
+ "p50": 2.4808460693359375,
152
+ "p90": 2.5116717529296873,
153
+ "p95": 2.515524963378906,
154
+ "p99": 2.5186075317382812,
155
+ "values": [
156
+ 2.519378173828125,
157
+ 2.44231396484375
158
+ ]
159
+ },
160
+ "throughput": {
161
+ "unit": "tokens/s",
162
+ "value": 51.19221283809633
163
+ },
164
+ "energy": null,
165
+ "efficiency": null
166
+ },
167
+ "per_token": {
168
+ "memory": null,
169
+ "latency": {
170
+ "unit": "s",
171
+ "count": 253,
172
+ "total": 4.961167354583736,
173
+ "mean": 0.019609357132742054,
174
+ "stdev": 0.001407539140127156,
175
+ "p50": 0.019283967971801756,
176
+ "p90": 0.020493516159057618,
177
+ "p95": 0.020693811798095704,
178
+ "p99": 0.022233292694091796,
179
+ "values": [
180
+ 0.02045849609375,
181
+ 0.02045747184753418,
182
+ 0.020732927322387695,
183
+ 0.020468736648559572,
184
+ 0.0204400634765625,
185
+ 0.020446207046508787,
186
+ 0.020501504898071288,
187
+ 0.02024038314819336,
188
+ 0.0204902400970459,
189
+ 0.020555776596069338,
190
+ 0.020765695571899414,
191
+ 0.02066534423828125,
192
+ 0.02042265510559082,
193
+ 0.02103398323059082,
194
+ 0.02088652801513672,
195
+ 0.02067251205444336,
196
+ 0.020690944671630858,
197
+ 0.020494335174560546,
198
+ 0.02062335968017578,
199
+ 0.020576255798339844,
200
+ 0.02044211196899414,
201
+ 0.020361215591430663,
202
+ 0.02042163276672363,
203
+ 0.020349952697753908,
204
+ 0.020289535522460937,
205
+ 0.02050764846801758,
206
+ 0.02085683250427246,
207
+ 0.020716543197631835,
208
+ 0.020586496353149415,
209
+ 0.02058956718444824,
210
+ 0.02046463966369629,
211
+ 0.02025062370300293,
212
+ 0.020535295486450195,
213
+ 0.02069811248779297,
214
+ 0.02070528030395508,
215
+ 0.020254720687866212,
216
+ 0.01965465545654297,
217
+ 0.019909631729125975,
218
+ 0.02063155174255371,
219
+ 0.020264959335327147,
220
+ 0.020336639404296874,
221
+ 0.020387840270996094,
222
+ 0.020159488677978517,
223
+ 0.02226790428161621,
224
+ 0.02329497528076172,
225
+ 0.02220134353637695,
226
+ 0.019405824661254883,
227
+ 0.019207168579101562,
228
+ 0.019094528198242186,
229
+ 0.019331071853637697,
230
+ 0.019160064697265625,
231
+ 0.019149824142456053,
232
+ 0.018917375564575196,
233
+ 0.019188735961914064,
234
+ 0.019280895233154297,
235
+ 0.019173376083374022,
236
+ 0.019330047607421876,
237
+ 0.01924095916748047,
238
+ 0.019332096099853514,
239
+ 0.019357696533203125,
240
+ 0.019324928283691405,
241
+ 0.02017791938781738,
242
+ 0.020182016372680665,
243
+ 0.019970048904418947,
244
+ 0.019912704467773438,
245
+ 0.019965951919555663,
246
+ 0.019717119216918946,
247
+ 0.019587072372436523,
248
+ 0.01902592086791992,
249
+ 0.01918976020812988,
250
+ 0.019127296447753905,
251
+ 0.019277824401855468,
252
+ 0.01924095916748047,
253
+ 0.01925939178466797,
254
+ 0.019208192825317383,
255
+ 0.019013631820678712,
256
+ 0.01907302474975586,
257
+ 0.01904435157775879,
258
+ 0.019564544677734375,
259
+ 0.0191016960144043,
260
+ 0.019058687210083008,
261
+ 0.01904025650024414,
262
+ 0.019100671768188478,
263
+ 0.019152896881103516,
264
+ 0.019351551055908203,
265
+ 0.02036735916137695,
266
+ 0.02001203155517578,
267
+ 0.01951644706726074,
268
+ 0.019652576446533204,
269
+ 0.020791296005249024,
270
+ 0.0200130558013916,
271
+ 0.019971071243286134,
272
+ 0.020057088851928712,
273
+ 0.019998720169067383,
274
+ 0.01948467254638672,
275
+ 0.019115007400512696,
276
+ 0.019204095840454103,
277
+ 0.019113983154296875,
278
+ 0.018989055633544923,
279
+ 0.01903615951538086,
280
+ 0.019178495407104493,
281
+ 0.019341312408447265,
282
+ 0.019273727416992188,
283
+ 0.019298303604125978,
284
+ 0.019479551315307618,
285
+ 0.01925836753845215,
286
+ 0.01924403190612793,
287
+ 0.019326976776123047,
288
+ 0.019297279357910157,
289
+ 0.01926144027709961,
290
+ 0.019163135528564454,
291
+ 0.01923379135131836,
292
+ 0.019333120346069335,
293
+ 0.019079168319702147,
294
+ 0.019284992218017577,
295
+ 0.01949286460876465,
296
+ 0.019200000762939453,
297
+ 0.019119104385375976,
298
+ 0.019133440017700197,
299
+ 0.019290111541748048,
300
+ 0.019172351837158205,
301
+ 0.0192675838470459,
302
+ 0.01925324821472168,
303
+ 0.019277824401855468,
304
+ 0.01923481559753418,
305
+ 0.019381248474121093,
306
+ 0.039521278381347655,
307
+ 0.019091455459594727,
308
+ 0.018919424057006837,
309
+ 0.018916351318359375,
310
+ 0.018884607315063476,
311
+ 0.018877439498901367,
312
+ 0.018974720001220705,
313
+ 0.018968576431274413,
314
+ 0.01887129592895508,
315
+ 0.018928640365600585,
316
+ 0.01902284812927246,
317
+ 0.018990079879760743,
318
+ 0.01905971145629883,
319
+ 0.01904947280883789,
320
+ 0.019148799896240236,
321
+ 0.01920614433288574,
322
+ 0.01920921516418457,
323
+ 0.019091455459594727,
324
+ 0.01923891258239746,
325
+ 0.019169279098510742,
326
+ 0.01968639945983887,
327
+ 0.018968576431274413,
328
+ 0.018906112670898437,
329
+ 0.019115007400512696,
330
+ 0.019124223709106446,
331
+ 0.018919424057006837,
332
+ 0.019166208267211913,
333
+ 0.019334144592285156,
334
+ 0.019182592391967773,
335
+ 0.01921433639526367,
336
+ 0.019141632080078123,
337
+ 0.019207168579101562,
338
+ 0.019748863220214845,
339
+ 0.01981644821166992,
340
+ 0.019732479095458985,
341
+ 0.019604480743408204,
342
+ 0.019180543899536134,
343
+ 0.018924543380737305,
344
+ 0.01898700714111328,
345
+ 0.01905766487121582,
346
+ 0.019503103256225587,
347
+ 0.01903513526916504,
348
+ 0.018944000244140623,
349
+ 0.019108863830566408,
350
+ 0.018882560729980468,
351
+ 0.018861055374145508,
352
+ 0.018946048736572265,
353
+ 0.019140607833862306,
354
+ 0.018961408615112304,
355
+ 0.018951168060302736,
356
+ 0.018959360122680666,
357
+ 0.019086336135864256,
358
+ 0.018976768493652343,
359
+ 0.018963455200195312,
360
+ 0.01926246452331543,
361
+ 0.019082239151000976,
362
+ 0.018951168060302736,
363
+ 0.019174400329589843,
364
+ 0.01938739204406738,
365
+ 0.019334144592285156,
366
+ 0.01939967918395996,
367
+ 0.020083711624145507,
368
+ 0.019596288681030274,
369
+ 0.01944883155822754,
370
+ 0.019479551315307618,
371
+ 0.019309568405151366,
372
+ 0.019474431991577147,
373
+ 0.019438592910766602,
374
+ 0.019260416030883788,
375
+ 0.019309568405151366,
376
+ 0.01920614433288574,
377
+ 0.019080192565917968,
378
+ 0.019102720260620116,
379
+ 0.019056640625,
380
+ 0.01924403190612793,
381
+ 0.019672063827514647,
382
+ 0.01984921646118164,
383
+ 0.020147199630737304,
384
+ 0.020230144500732423,
385
+ 0.01965056037902832,
386
+ 0.01960041618347168,
387
+ 0.0196474552154541,
388
+ 0.01965260887145996,
389
+ 0.01924505615234375,
390
+ 0.019297279357910157,
391
+ 0.019406848907470704,
392
+ 0.019298303604125978,
393
+ 0.01918156814575195,
394
+ 0.019090431213378906,
395
+ 0.019288063049316406,
396
+ 0.019280895233154297,
397
+ 0.019284992218017577,
398
+ 0.019422208786010742,
399
+ 0.01944473648071289,
400
+ 0.019390464782714844,
401
+ 0.01924403190612793,
402
+ 0.019309568405151366,
403
+ 0.01927065658569336,
404
+ 0.019449855804443358,
405
+ 0.019283967971801756,
406
+ 0.019305471420288087,
407
+ 0.01927065658569336,
408
+ 0.019284992218017577,
409
+ 0.019337215423583985,
410
+ 0.01927577590942383,
411
+ 0.019412992477416992,
412
+ 0.01906380844116211,
413
+ 0.01903615951538086,
414
+ 0.019019775390625,
415
+ 0.019352575302124024,
416
+ 0.01904332733154297,
417
+ 0.01901670455932617,
418
+ 0.019128320693969726,
419
+ 0.019062784194946288,
420
+ 0.01906483268737793,
421
+ 0.019096576690673828,
422
+ 0.01909350395202637,
423
+ 0.019106815338134766,
424
+ 0.019377151489257814,
425
+ 0.019108863830566408,
426
+ 0.01905356788635254,
427
+ 0.01907302474975586,
428
+ 0.019118080139160155,
429
+ 0.018988031387329102,
430
+ 0.01927065658569336,
431
+ 0.01929523277282715,
432
+ 0.019312639236450196
433
+ ]
434
+ },
435
+ "throughput": {
436
+ "unit": "tokens/s",
437
+ "value": 50.99606240177472
438
+ },
439
+ "energy": null,
440
+ "efficiency": null
441
+ }
442
+ }
443
+ }
2024-06-27/commit=11138ca013add0041753aab276e83261c38b08ac/backend.cache_implementation=null,backend.model=google/gemma-2b,backend.torch_compile=False/benchmark.log ADDED
File without changes
2024-06-27/commit=11138ca013add0041753aab276e83261c38b08ac/backend.cache_implementation=null,backend.model=google/gemma-2b,backend.torch_compile=False/benchmark_config.json ADDED
@@ -0,0 +1,102 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "name": "pytorch_generate",
3
+ "backend": {
4
+ "name": "pytorch",
5
+ "version": "2.3.0+cu121",
6
+ "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
7
+ "task": "text-generation",
8
+ "library": "transformers",
9
+ "model": "google/gemma-2b",
10
+ "processor": "google/gemma-2b",
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
+ "hub_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
+ "latency": true,
56
+ "memory": 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
+ "start_method": "spawn"
72
+ },
73
+ "environment": {
74
+ "cpu": " AMD EPYC 7R32",
75
+ "cpu_count": 16,
76
+ "cpu_ram_mb": 66697.29792,
77
+ "system": "Linux",
78
+ "machine": "x86_64",
79
+ "platform": "Linux-5.10.218-208.862.amzn2.x86_64-x86_64-with-glibc2.29",
80
+ "processor": "x86_64",
81
+ "python_version": "3.8.10",
82
+ "gpu": [
83
+ "NVIDIA A10G"
84
+ ],
85
+ "gpu_count": 1,
86
+ "gpu_vram_mb": 24146608128,
87
+ "optimum_benchmark_version": "0.2.1",
88
+ "optimum_benchmark_commit": null,
89
+ "transformers_version": "4.42.0.dev0",
90
+ "transformers_commit": "11138ca013add0041753aab276e83261c38b08ac",
91
+ "accelerate_version": "0.32.0.dev0",
92
+ "accelerate_commit": null,
93
+ "diffusers_version": null,
94
+ "diffusers_commit": null,
95
+ "optimum_version": "1.21.0.dev0",
96
+ "optimum_commit": null,
97
+ "timm_version": "0.9.16",
98
+ "timm_commit": null,
99
+ "peft_version": "0.11.2.dev0",
100
+ "peft_commit": null
101
+ }
102
+ }
2024-06-27/commit=11138ca013add0041753aab276e83261c38b08ac/backend.cache_implementation=null,backend.model=google/gemma-2b,backend.torch_compile=False/benchmark_report.json ADDED
@@ -0,0 +1,339 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "prefill": {
3
+ "memory": {
4
+ "unit": "MB",
5
+ "max_ram": 1716.416512,
6
+ "max_global_vram": 6793.199616,
7
+ "max_process_vram": 0.0,
8
+ "max_reserved": 6146.752512,
9
+ "max_allocated": 5034.576896
10
+ },
11
+ "latency": {
12
+ "unit": "s",
13
+ "count": 2,
14
+ "total": 0.04130000114440918,
15
+ "mean": 0.02065000057220459,
16
+ "stdev": 0.0006246557235717771,
17
+ "p50": 0.02065000057220459,
18
+ "p90": 0.02114972515106201,
19
+ "p95": 0.02121219072341919,
20
+ "p99": 0.021262163181304933,
21
+ "values": [
22
+ 0.021274656295776368,
23
+ 0.020025344848632814
24
+ ]
25
+ },
26
+ "throughput": {
27
+ "unit": "tokens/s",
28
+ "value": 338.98304145435094
29
+ },
30
+ "energy": null,
31
+ "efficiency": null
32
+ },
33
+ "decode": {
34
+ "memory": {
35
+ "unit": "MB",
36
+ "max_ram": 1716.506624,
37
+ "max_global_vram": 6795.296768,
38
+ "max_process_vram": 0.0,
39
+ "max_reserved": 6148.849664,
40
+ "max_allocated": 5034.577408
41
+ },
42
+ "latency": {
43
+ "unit": "s",
44
+ "count": 2,
45
+ "total": 4.961692138671875,
46
+ "mean": 2.4808460693359375,
47
+ "stdev": 0.03853210449218736,
48
+ "p50": 2.4808460693359375,
49
+ "p90": 2.5116717529296873,
50
+ "p95": 2.515524963378906,
51
+ "p99": 2.5186075317382812,
52
+ "values": [
53
+ 2.519378173828125,
54
+ 2.44231396484375
55
+ ]
56
+ },
57
+ "throughput": {
58
+ "unit": "tokens/s",
59
+ "value": 51.19221283809633
60
+ },
61
+ "energy": null,
62
+ "efficiency": null
63
+ },
64
+ "per_token": {
65
+ "memory": null,
66
+ "latency": {
67
+ "unit": "s",
68
+ "count": 253,
69
+ "total": 4.961167354583736,
70
+ "mean": 0.019609357132742054,
71
+ "stdev": 0.001407539140127156,
72
+ "p50": 0.019283967971801756,
73
+ "p90": 0.020493516159057618,
74
+ "p95": 0.020693811798095704,
75
+ "p99": 0.022233292694091796,
76
+ "values": [
77
+ 0.02045849609375,
78
+ 0.02045747184753418,
79
+ 0.020732927322387695,
80
+ 0.020468736648559572,
81
+ 0.0204400634765625,
82
+ 0.020446207046508787,
83
+ 0.020501504898071288,
84
+ 0.02024038314819336,
85
+ 0.0204902400970459,
86
+ 0.020555776596069338,
87
+ 0.020765695571899414,
88
+ 0.02066534423828125,
89
+ 0.02042265510559082,
90
+ 0.02103398323059082,
91
+ 0.02088652801513672,
92
+ 0.02067251205444336,
93
+ 0.020690944671630858,
94
+ 0.020494335174560546,
95
+ 0.02062335968017578,
96
+ 0.020576255798339844,
97
+ 0.02044211196899414,
98
+ 0.020361215591430663,
99
+ 0.02042163276672363,
100
+ 0.020349952697753908,
101
+ 0.020289535522460937,
102
+ 0.02050764846801758,
103
+ 0.02085683250427246,
104
+ 0.020716543197631835,
105
+ 0.020586496353149415,
106
+ 0.02058956718444824,
107
+ 0.02046463966369629,
108
+ 0.02025062370300293,
109
+ 0.020535295486450195,
110
+ 0.02069811248779297,
111
+ 0.02070528030395508,
112
+ 0.020254720687866212,
113
+ 0.01965465545654297,
114
+ 0.019909631729125975,
115
+ 0.02063155174255371,
116
+ 0.020264959335327147,
117
+ 0.020336639404296874,
118
+ 0.020387840270996094,
119
+ 0.020159488677978517,
120
+ 0.02226790428161621,
121
+ 0.02329497528076172,
122
+ 0.02220134353637695,
123
+ 0.019405824661254883,
124
+ 0.019207168579101562,
125
+ 0.019094528198242186,
126
+ 0.019331071853637697,
127
+ 0.019160064697265625,
128
+ 0.019149824142456053,
129
+ 0.018917375564575196,
130
+ 0.019188735961914064,
131
+ 0.019280895233154297,
132
+ 0.019173376083374022,
133
+ 0.019330047607421876,
134
+ 0.01924095916748047,
135
+ 0.019332096099853514,
136
+ 0.019357696533203125,
137
+ 0.019324928283691405,
138
+ 0.02017791938781738,
139
+ 0.020182016372680665,
140
+ 0.019970048904418947,
141
+ 0.019912704467773438,
142
+ 0.019965951919555663,
143
+ 0.019717119216918946,
144
+ 0.019587072372436523,
145
+ 0.01902592086791992,
146
+ 0.01918976020812988,
147
+ 0.019127296447753905,
148
+ 0.019277824401855468,
149
+ 0.01924095916748047,
150
+ 0.01925939178466797,
151
+ 0.019208192825317383,
152
+ 0.019013631820678712,
153
+ 0.01907302474975586,
154
+ 0.01904435157775879,
155
+ 0.019564544677734375,
156
+ 0.0191016960144043,
157
+ 0.019058687210083008,
158
+ 0.01904025650024414,
159
+ 0.019100671768188478,
160
+ 0.019152896881103516,
161
+ 0.019351551055908203,
162
+ 0.02036735916137695,
163
+ 0.02001203155517578,
164
+ 0.01951644706726074,
165
+ 0.019652576446533204,
166
+ 0.020791296005249024,
167
+ 0.0200130558013916,
168
+ 0.019971071243286134,
169
+ 0.020057088851928712,
170
+ 0.019998720169067383,
171
+ 0.01948467254638672,
172
+ 0.019115007400512696,
173
+ 0.019204095840454103,
174
+ 0.019113983154296875,
175
+ 0.018989055633544923,
176
+ 0.01903615951538086,
177
+ 0.019178495407104493,
178
+ 0.019341312408447265,
179
+ 0.019273727416992188,
180
+ 0.019298303604125978,
181
+ 0.019479551315307618,
182
+ 0.01925836753845215,
183
+ 0.01924403190612793,
184
+ 0.019326976776123047,
185
+ 0.019297279357910157,
186
+ 0.01926144027709961,
187
+ 0.019163135528564454,
188
+ 0.01923379135131836,
189
+ 0.019333120346069335,
190
+ 0.019079168319702147,
191
+ 0.019284992218017577,
192
+ 0.01949286460876465,
193
+ 0.019200000762939453,
194
+ 0.019119104385375976,
195
+ 0.019133440017700197,
196
+ 0.019290111541748048,
197
+ 0.019172351837158205,
198
+ 0.0192675838470459,
199
+ 0.01925324821472168,
200
+ 0.019277824401855468,
201
+ 0.01923481559753418,
202
+ 0.019381248474121093,
203
+ 0.039521278381347655,
204
+ 0.019091455459594727,
205
+ 0.018919424057006837,
206
+ 0.018916351318359375,
207
+ 0.018884607315063476,
208
+ 0.018877439498901367,
209
+ 0.018974720001220705,
210
+ 0.018968576431274413,
211
+ 0.01887129592895508,
212
+ 0.018928640365600585,
213
+ 0.01902284812927246,
214
+ 0.018990079879760743,
215
+ 0.01905971145629883,
216
+ 0.01904947280883789,
217
+ 0.019148799896240236,
218
+ 0.01920614433288574,
219
+ 0.01920921516418457,
220
+ 0.019091455459594727,
221
+ 0.01923891258239746,
222
+ 0.019169279098510742,
223
+ 0.01968639945983887,
224
+ 0.018968576431274413,
225
+ 0.018906112670898437,
226
+ 0.019115007400512696,
227
+ 0.019124223709106446,
228
+ 0.018919424057006837,
229
+ 0.019166208267211913,
230
+ 0.019334144592285156,
231
+ 0.019182592391967773,
232
+ 0.01921433639526367,
233
+ 0.019141632080078123,
234
+ 0.019207168579101562,
235
+ 0.019748863220214845,
236
+ 0.01981644821166992,
237
+ 0.019732479095458985,
238
+ 0.019604480743408204,
239
+ 0.019180543899536134,
240
+ 0.018924543380737305,
241
+ 0.01898700714111328,
242
+ 0.01905766487121582,
243
+ 0.019503103256225587,
244
+ 0.01903513526916504,
245
+ 0.018944000244140623,
246
+ 0.019108863830566408,
247
+ 0.018882560729980468,
248
+ 0.018861055374145508,
249
+ 0.018946048736572265,
250
+ 0.019140607833862306,
251
+ 0.018961408615112304,
252
+ 0.018951168060302736,
253
+ 0.018959360122680666,
254
+ 0.019086336135864256,
255
+ 0.018976768493652343,
256
+ 0.018963455200195312,
257
+ 0.01926246452331543,
258
+ 0.019082239151000976,
259
+ 0.018951168060302736,
260
+ 0.019174400329589843,
261
+ 0.01938739204406738,
262
+ 0.019334144592285156,
263
+ 0.01939967918395996,
264
+ 0.020083711624145507,
265
+ 0.019596288681030274,
266
+ 0.01944883155822754,
267
+ 0.019479551315307618,
268
+ 0.019309568405151366,
269
+ 0.019474431991577147,
270
+ 0.019438592910766602,
271
+ 0.019260416030883788,
272
+ 0.019309568405151366,
273
+ 0.01920614433288574,
274
+ 0.019080192565917968,
275
+ 0.019102720260620116,
276
+ 0.019056640625,
277
+ 0.01924403190612793,
278
+ 0.019672063827514647,
279
+ 0.01984921646118164,
280
+ 0.020147199630737304,
281
+ 0.020230144500732423,
282
+ 0.01965056037902832,
283
+ 0.01960041618347168,
284
+ 0.0196474552154541,
285
+ 0.01965260887145996,
286
+ 0.01924505615234375,
287
+ 0.019297279357910157,
288
+ 0.019406848907470704,
289
+ 0.019298303604125978,
290
+ 0.01918156814575195,
291
+ 0.019090431213378906,
292
+ 0.019288063049316406,
293
+ 0.019280895233154297,
294
+ 0.019284992218017577,
295
+ 0.019422208786010742,
296
+ 0.01944473648071289,
297
+ 0.019390464782714844,
298
+ 0.01924403190612793,
299
+ 0.019309568405151366,
300
+ 0.01927065658569336,
301
+ 0.019449855804443358,
302
+ 0.019283967971801756,
303
+ 0.019305471420288087,
304
+ 0.01927065658569336,
305
+ 0.019284992218017577,
306
+ 0.019337215423583985,
307
+ 0.01927577590942383,
308
+ 0.019412992477416992,
309
+ 0.01906380844116211,
310
+ 0.01903615951538086,
311
+ 0.019019775390625,
312
+ 0.019352575302124024,
313
+ 0.01904332733154297,
314
+ 0.01901670455932617,
315
+ 0.019128320693969726,
316
+ 0.019062784194946288,
317
+ 0.01906483268737793,
318
+ 0.019096576690673828,
319
+ 0.01909350395202637,
320
+ 0.019106815338134766,
321
+ 0.019377151489257814,
322
+ 0.019108863830566408,
323
+ 0.01905356788635254,
324
+ 0.01907302474975586,
325
+ 0.019118080139160155,
326
+ 0.018988031387329102,
327
+ 0.01927065658569336,
328
+ 0.01929523277282715,
329
+ 0.019312639236450196
330
+ ]
331
+ },
332
+ "throughput": {
333
+ "unit": "tokens/s",
334
+ "value": 50.99606240177472
335
+ },
336
+ "energy": null,
337
+ "efficiency": null
338
+ }
339
+ }
2024-06-27/commit=11138ca013add0041753aab276e83261c38b08ac/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": "11138ca013add0041753aab276e83261c38b08ac",
4
+ "config": "backend.cache_implementation=null,backend.torch_compile=False",
5
+ "metrics": {
6
+ "prefill.latency.mean": 0.02065000057220459,
7
+ "prefill.throughput.value": 338.98304145435094,
8
+ "decode.latency.mean": 2.4808460693359375,
9
+ "decode.throughput.value": 51.19221283809633,
10
+ "per_token.latency.mean": 0.019609357132742054,
11
+ "per_token.throughput.value": 50.99606240177472
12
+ }
13
+ }
2024-06-27/commit=11138ca013add0041753aab276e83261c38b08ac/backend.cache_implementation=null,backend.model=google/gemma-2b,backend.torch_compile=True/.hydra/config.yaml ADDED
@@ -0,0 +1,91 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ name: pytorch_generate
2
+ backend:
3
+ name: pytorch
4
+ version: 2.3.0+cu121
5
+ _target_: optimum_benchmark.backends.pytorch.backend.PyTorchBackend
6
+ task: null
7
+ library: null
8
+ model: google/gemma-2b
9
+ processor: null
10
+ device: cuda
11
+ device_ids: '0'
12
+ seed: 42
13
+ inter_op_num_threads: null
14
+ intra_op_num_threads: null
15
+ model_kwargs: {}
16
+ processor_kwargs: {}
17
+ hub_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
+ latency: true
51
+ memory: 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
+ start_method: spawn
65
+ environment:
66
+ cpu: ' AMD EPYC 7R32'
67
+ cpu_count: 16
68
+ cpu_ram_mb: 66697.29792
69
+ system: Linux
70
+ machine: x86_64
71
+ platform: Linux-5.10.218-208.862.amzn2.x86_64-x86_64-with-glibc2.29
72
+ processor: x86_64
73
+ python_version: 3.8.10
74
+ gpu:
75
+ - NVIDIA A10G
76
+ gpu_count: 1
77
+ gpu_vram_mb: 24146608128
78
+ optimum_benchmark_version: 0.2.1
79
+ optimum_benchmark_commit: null
80
+ transformers_version: 4.42.0.dev0
81
+ transformers_commit: 11138ca013add0041753aab276e83261c38b08ac
82
+ accelerate_version: 0.32.0.dev0
83
+ accelerate_commit: null
84
+ diffusers_version: null
85
+ diffusers_commit: null
86
+ optimum_version: 1.21.0.dev0
87
+ optimum_commit: null
88
+ timm_version: 0.9.16
89
+ timm_commit: null
90
+ peft_version: 0.11.2.dev0
91
+ peft_commit: null
2024-06-27/commit=11138ca013add0041753aab276e83261c38b08ac/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/tmp039cvp9i/commit=11138ca013add0041753aab276e83261c38b08ac/${hydra.job.override_dirname}
4
+ sweep:
5
+ dir: _benchmark/tmp039cvp9i/commit=11138ca013add0041753aab276e83261c38b08ac
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
+ $HYDRA_CONFIG_GROUPS
62
+
63
+
64
+ Use ''--cfg hydra'' to Show the Hydra config.
65
+
66
+ '
67
+ hydra_help: ???
68
+ hydra_logging:
69
+ version: 1
70
+ root:
71
+ level: ERROR
72
+ disable_existing_loggers: true
73
+ job_logging:
74
+ version: 1
75
+ root:
76
+ level: ERROR
77
+ disable_existing_loggers: true
78
+ env: {}
79
+ mode: MULTIRUN
80
+ searchpath: []
81
+ callbacks: {}
82
+ output_subdir: .hydra
83
+ overrides:
84
+ hydra:
85
+ - hydra/job_logging=disabled
86
+ - hydra/hydra_logging=disabled
87
+ - hydra.sweep.dir=_benchmark/tmp039cvp9i/commit\=11138ca013add0041753aab276e83261c38b08ac
88
+ - hydra.run.dir=_benchmark/tmp039cvp9i/commit\=11138ca013add0041753aab276e83261c38b08ac/${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/tmp039cvp9i/commit=11138ca013add0041753aab276e83261c38b08ac/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
2024-06-27/commit=11138ca013add0041753aab276e83261c38b08ac/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
2024-06-27/commit=11138ca013add0041753aab276e83261c38b08ac/backend.cache_implementation=null,backend.model=google/gemma-2b,backend.torch_compile=True/benchmark.log ADDED
@@ -0,0 +1 @@
 
 
1
+ [ISOLATED-PROCESS][2024-06-27 10:41:45,990][process][ERROR] - + Sending traceback to main process
2024-06-27/commit=11138ca013add0041753aab276e83261c38b08ac/backend.cache_implementation=null,backend.model=google/gemma-2b,backend.torch_compile=True/benchmark_config.json ADDED
@@ -0,0 +1,102 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "name": "pytorch_generate",
3
+ "backend": {
4
+ "name": "pytorch",
5
+ "version": "2.3.0+cu121",
6
+ "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
7
+ "task": "text-generation",
8
+ "library": "transformers",
9
+ "model": "google/gemma-2b",
10
+ "processor": "google/gemma-2b",
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
+ "hub_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
+ "latency": true,
56
+ "memory": 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
+ "start_method": "spawn"
72
+ },
73
+ "environment": {
74
+ "cpu": " AMD EPYC 7R32",
75
+ "cpu_count": 16,
76
+ "cpu_ram_mb": 66697.29792,
77
+ "system": "Linux",
78
+ "machine": "x86_64",
79
+ "platform": "Linux-5.10.218-208.862.amzn2.x86_64-x86_64-with-glibc2.29",
80
+ "processor": "x86_64",
81
+ "python_version": "3.8.10",
82
+ "gpu": [
83
+ "NVIDIA A10G"
84
+ ],
85
+ "gpu_count": 1,
86
+ "gpu_vram_mb": 24146608128,
87
+ "optimum_benchmark_version": "0.2.1",
88
+ "optimum_benchmark_commit": null,
89
+ "transformers_version": "4.42.0.dev0",
90
+ "transformers_commit": "11138ca013add0041753aab276e83261c38b08ac",
91
+ "accelerate_version": "0.32.0.dev0",
92
+ "accelerate_commit": null,
93
+ "diffusers_version": null,
94
+ "diffusers_commit": null,
95
+ "optimum_version": "1.21.0.dev0",
96
+ "optimum_commit": null,
97
+ "timm_version": "0.9.16",
98
+ "timm_commit": null,
99
+ "peft_version": "0.11.2.dev0",
100
+ "peft_commit": null
101
+ }
102
+ }
2024-06-27/commit=11138ca013add0041753aab276e83261c38b08ac/backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=False/.hydra/config.yaml ADDED
@@ -0,0 +1,91 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ name: pytorch_generate
2
+ backend:
3
+ name: pytorch
4
+ version: 2.3.0+cu121
5
+ _target_: optimum_benchmark.backends.pytorch.backend.PyTorchBackend
6
+ task: null
7
+ library: null
8
+ model: google/gemma-2b
9
+ processor: null
10
+ device: cuda
11
+ device_ids: '0'
12
+ seed: 42
13
+ inter_op_num_threads: null
14
+ intra_op_num_threads: null
15
+ model_kwargs: {}
16
+ processor_kwargs: {}
17
+ hub_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
+ latency: true
51
+ memory: 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
+ start_method: spawn
65
+ environment:
66
+ cpu: ' AMD EPYC 7R32'
67
+ cpu_count: 16
68
+ cpu_ram_mb: 66697.29792
69
+ system: Linux
70
+ machine: x86_64
71
+ platform: Linux-5.10.218-208.862.amzn2.x86_64-x86_64-with-glibc2.29
72
+ processor: x86_64
73
+ python_version: 3.8.10
74
+ gpu:
75
+ - NVIDIA A10G
76
+ gpu_count: 1
77
+ gpu_vram_mb: 24146608128
78
+ optimum_benchmark_version: 0.2.1
79
+ optimum_benchmark_commit: null
80
+ transformers_version: 4.42.0.dev0
81
+ transformers_commit: 11138ca013add0041753aab276e83261c38b08ac
82
+ accelerate_version: 0.32.0.dev0
83
+ accelerate_commit: null
84
+ diffusers_version: null
85
+ diffusers_commit: null
86
+ optimum_version: 1.21.0.dev0
87
+ optimum_commit: null
88
+ timm_version: 0.9.16
89
+ timm_commit: null
90
+ peft_version: 0.11.2.dev0
91
+ peft_commit: null
2024-06-27/commit=11138ca013add0041753aab276e83261c38b08ac/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/tmp039cvp9i/commit=11138ca013add0041753aab276e83261c38b08ac/${hydra.job.override_dirname}
4
+ sweep:
5
+ dir: _benchmark/tmp039cvp9i/commit=11138ca013add0041753aab276e83261c38b08ac
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
+ $HYDRA_CONFIG_GROUPS
62
+
63
+
64
+ Use ''--cfg hydra'' to Show the Hydra config.
65
+
66
+ '
67
+ hydra_help: ???
68
+ hydra_logging:
69
+ version: 1
70
+ root:
71
+ level: ERROR
72
+ disable_existing_loggers: true
73
+ job_logging:
74
+ version: 1
75
+ root:
76
+ level: ERROR
77
+ disable_existing_loggers: true
78
+ env: {}
79
+ mode: MULTIRUN
80
+ searchpath: []
81
+ callbacks: {}
82
+ output_subdir: .hydra
83
+ overrides:
84
+ hydra:
85
+ - hydra/job_logging=disabled
86
+ - hydra/hydra_logging=disabled
87
+ - hydra.sweep.dir=_benchmark/tmp039cvp9i/commit\=11138ca013add0041753aab276e83261c38b08ac
88
+ - hydra.run.dir=_benchmark/tmp039cvp9i/commit\=11138ca013add0041753aab276e83261c38b08ac/${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/tmp039cvp9i/commit=11138ca013add0041753aab276e83261c38b08ac/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
2024-06-27/commit=11138ca013add0041753aab276e83261c38b08ac/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
2024-06-27/commit=11138ca013add0041753aab276e83261c38b08ac/backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=False/benchmark.json ADDED
@@ -0,0 +1,443 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "config": {
3
+ "name": "pytorch_generate",
4
+ "backend": {
5
+ "name": "pytorch",
6
+ "version": "2.3.0+cu121",
7
+ "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
8
+ "task": "text-generation",
9
+ "library": "transformers",
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
+ "hub_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
+ "latency": true,
57
+ "memory": 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
+ "start_method": "spawn"
73
+ },
74
+ "environment": {
75
+ "cpu": " AMD EPYC 7R32",
76
+ "cpu_count": 16,
77
+ "cpu_ram_mb": 66697.29792,
78
+ "system": "Linux",
79
+ "machine": "x86_64",
80
+ "platform": "Linux-5.10.218-208.862.amzn2.x86_64-x86_64-with-glibc2.29",
81
+ "processor": "x86_64",
82
+ "python_version": "3.8.10",
83
+ "gpu": [
84
+ "NVIDIA A10G"
85
+ ],
86
+ "gpu_count": 1,
87
+ "gpu_vram_mb": 24146608128,
88
+ "optimum_benchmark_version": "0.2.1",
89
+ "optimum_benchmark_commit": null,
90
+ "transformers_version": "4.42.0.dev0",
91
+ "transformers_commit": "11138ca013add0041753aab276e83261c38b08ac",
92
+ "accelerate_version": "0.32.0.dev0",
93
+ "accelerate_commit": null,
94
+ "diffusers_version": null,
95
+ "diffusers_commit": null,
96
+ "optimum_version": "1.21.0.dev0",
97
+ "optimum_commit": null,
98
+ "timm_version": "0.9.16",
99
+ "timm_commit": null,
100
+ "peft_version": "0.11.2.dev0",
101
+ "peft_commit": null
102
+ }
103
+ },
104
+ "report": {
105
+ "prefill": {
106
+ "memory": {
107
+ "unit": "MB",
108
+ "max_ram": 1761.767424,
109
+ "max_global_vram": 6793.199616,
110
+ "max_process_vram": 0.0,
111
+ "max_reserved": 6146.752512,
112
+ "max_allocated": 5036.936192
113
+ },
114
+ "latency": {
115
+ "unit": "s",
116
+ "count": 2,
117
+ "total": 0.0457619514465332,
118
+ "mean": 0.0228809757232666,
119
+ "stdev": 0.00038017654418945335,
120
+ "p50": 0.0228809757232666,
121
+ "p90": 0.023185116958618163,
122
+ "p95": 0.02322313461303711,
123
+ "p99": 0.023253548736572264,
124
+ "values": [
125
+ 0.022500799179077147,
126
+ 0.023261152267456054
127
+ ]
128
+ },
129
+ "throughput": {
130
+ "unit": "tokens/s",
131
+ "value": 305.93100944038963
132
+ },
133
+ "energy": null,
134
+ "efficiency": null
135
+ },
136
+ "decode": {
137
+ "memory": {
138
+ "unit": "MB",
139
+ "max_ram": 1761.779712,
140
+ "max_global_vram": 6793.199616,
141
+ "max_process_vram": 0.0,
142
+ "max_reserved": 6146.752512,
143
+ "max_allocated": 5036.936704
144
+ },
145
+ "latency": {
146
+ "unit": "s",
147
+ "count": 2,
148
+ "total": 5.298493164062499,
149
+ "mean": 2.6492465820312496,
150
+ "stdev": 0.020129394531249956,
151
+ "p50": 2.6492465820312496,
152
+ "p90": 2.66535009765625,
153
+ "p95": 2.6673630371093746,
154
+ "p99": 2.668973388671875,
155
+ "values": [
156
+ 2.6291171875,
157
+ 2.6693759765625
158
+ ]
159
+ },
160
+ "throughput": {
161
+ "unit": "tokens/s",
162
+ "value": 47.93815753557588
163
+ },
164
+ "energy": null,
165
+ "efficiency": null
166
+ },
167
+ "per_token": {
168
+ "memory": null,
169
+ "latency": {
170
+ "unit": "s",
171
+ "count": 253,
172
+ "total": 5.3008179187774624,
173
+ "mean": 0.020951849481333853,
174
+ "stdev": 0.001571597032860922,
175
+ "p50": 0.02102681541442871,
176
+ "p90": 0.021315584182739256,
177
+ "p95": 0.021435596084594725,
178
+ "p99": 0.02230755264282226,
179
+ "values": [
180
+ 0.02262118339538574,
181
+ 0.020343807220458983,
182
+ 0.02021990394592285,
183
+ 0.020163583755493163,
184
+ 0.020271104812622072,
185
+ 0.020184064865112306,
186
+ 0.0218470401763916,
187
+ 0.021320703506469727,
188
+ 0.021053440093994142,
189
+ 0.02088243293762207,
190
+ 0.020883455276489257,
191
+ 0.020955135345458984,
192
+ 0.020517887115478514,
193
+ 0.0208035831451416,
194
+ 0.020000768661499024,
195
+ 0.020196352005004883,
196
+ 0.02086809539794922,
197
+ 0.02045030403137207,
198
+ 0.023051263809204102,
199
+ 0.02106675148010254,
200
+ 0.02040115165710449,
201
+ 0.020161535263061522,
202
+ 0.021148672103881837,
203
+ 0.020625408172607423,
204
+ 0.02025267219543457,
205
+ 0.020307968139648438,
206
+ 0.02016972732543945,
207
+ 0.02103091239929199,
208
+ 0.02085683250427246,
209
+ 0.020140031814575195,
210
+ 0.020158464431762696,
211
+ 0.020099071502685546,
212
+ 0.020262912750244142,
213
+ 0.020353023529052734,
214
+ 0.020322303771972656,
215
+ 0.021008384704589843,
216
+ 0.02087833595275879,
217
+ 0.020129791259765627,
218
+ 0.020502527236938475,
219
+ 0.02081996726989746,
220
+ 0.020779008865356444,
221
+ 0.020109312057495117,
222
+ 0.020143104553222657,
223
+ 0.020121599197387697,
224
+ 0.02012876892089844,
225
+ 0.02010419273376465,
226
+ 0.020328447341918944,
227
+ 0.020509695053100584,
228
+ 0.020577280044555665,
229
+ 0.02065715217590332,
230
+ 0.02030899238586426,
231
+ 0.02028441619873047,
232
+ 0.020274175643920898,
233
+ 0.020192256927490236,
234
+ 0.020257791519165038,
235
+ 0.020175872802734376,
236
+ 0.020315135955810547,
237
+ 0.020322303771972656,
238
+ 0.020362239837646484,
239
+ 0.020291584014892578,
240
+ 0.02063667106628418,
241
+ 0.02041548728942871,
242
+ 0.0202608642578125,
243
+ 0.02026700782775879,
244
+ 0.020307968139648438,
245
+ 0.02023423957824707,
246
+ 0.020306943893432617,
247
+ 0.020256767272949217,
248
+ 0.02027008056640625,
249
+ 0.020214784622192384,
250
+ 0.020187135696411132,
251
+ 0.020281343460083007,
252
+ 0.020171775817871093,
253
+ 0.02027212715148926,
254
+ 0.02047590446472168,
255
+ 0.02025164794921875,
256
+ 0.02021887969970703,
257
+ 0.02020966339111328,
258
+ 0.02026905632019043,
259
+ 0.021007360458374022,
260
+ 0.020360191345214843,
261
+ 0.020207616806030275,
262
+ 0.020365312576293947,
263
+ 0.02083328056335449,
264
+ 0.021138431549072266,
265
+ 0.02145587158203125,
266
+ 0.021097471237182617,
267
+ 0.021132287979125978,
268
+ 0.021097471237182617,
269
+ 0.02105036735534668,
270
+ 0.021102592468261717,
271
+ 0.02103500747680664,
272
+ 0.021014528274536134,
273
+ 0.021032960891723632,
274
+ 0.02104832077026367,
275
+ 0.021296127319335938,
276
+ 0.021346303939819337,
277
+ 0.0210513916015625,
278
+ 0.020950016021728517,
279
+ 0.020951040267944337,
280
+ 0.021104639053344726,
281
+ 0.021196800231933592,
282
+ 0.021255168914794922,
283
+ 0.021154815673828126,
284
+ 0.020985855102539062,
285
+ 0.021146623611450196,
286
+ 0.021127168655395507,
287
+ 0.02126335906982422,
288
+ 0.02128691291809082,
289
+ 0.021375999450683594,
290
+ 0.0211015682220459,
291
+ 0.021292032241821288,
292
+ 0.021177343368530274,
293
+ 0.02104012870788574,
294
+ 0.021246976852416992,
295
+ 0.021089279174804687,
296
+ 0.02122854423522949,
297
+ 0.020346879959106445,
298
+ 0.020547584533691408,
299
+ 0.021153791427612305,
300
+ 0.021182464599609374,
301
+ 0.021150720596313476,
302
+ 0.021114879608154297,
303
+ 0.021016576766967773,
304
+ 0.02103091239929199,
305
+ 0.02086809539794922,
306
+ 0.04471091079711914,
307
+ 0.021183488845825195,
308
+ 0.021390335083007812,
309
+ 0.021198848724365234,
310
+ 0.021206016540527343,
311
+ 0.021113855361938477,
312
+ 0.02123263931274414,
313
+ 0.021190656661987304,
314
+ 0.021283840179443358,
315
+ 0.021134336471557616,
316
+ 0.021191680908203125,
317
+ 0.02104319953918457,
318
+ 0.02107187271118164,
319
+ 0.021111808776855468,
320
+ 0.02123161506652832,
321
+ 0.021110784530639647,
322
+ 0.020157440185546875,
323
+ 0.020068351745605468,
324
+ 0.020913152694702147,
325
+ 0.021315584182739256,
326
+ 0.020904960632324218,
327
+ 0.020734975814819336,
328
+ 0.02102681541442871,
329
+ 0.021061632156372072,
330
+ 0.02105036735534668,
331
+ 0.02108518409729004,
332
+ 0.02071347236633301,
333
+ 0.020502527236938475,
334
+ 0.021347328186035155,
335
+ 0.021127168655395507,
336
+ 0.0210831356048584,
337
+ 0.02125823974609375,
338
+ 0.021045248031616212,
339
+ 0.02106368064880371,
340
+ 0.02107904052734375,
341
+ 0.021009408950805664,
342
+ 0.02086092758178711,
343
+ 0.021112831115722656,
344
+ 0.021196800231933592,
345
+ 0.02122854423522949,
346
+ 0.02109132766723633,
347
+ 0.021388288497924804,
348
+ 0.02129408073425293,
349
+ 0.02130636787414551,
350
+ 0.021315584182739256,
351
+ 0.02146918487548828,
352
+ 0.021226495742797852,
353
+ 0.021804031372070314,
354
+ 0.021963775634765623,
355
+ 0.02126643180847168,
356
+ 0.021518335342407227,
357
+ 0.02142207908630371,
358
+ 0.022018047332763673,
359
+ 0.02169036865234375,
360
+ 0.021227519989013673,
361
+ 0.021113855361938477,
362
+ 0.02122547149658203,
363
+ 0.021179391860961915,
364
+ 0.021129215240478515,
365
+ 0.021019647598266602,
366
+ 0.02108518409729004,
367
+ 0.021202943801879884,
368
+ 0.02106368064880371,
369
+ 0.021185535430908203,
370
+ 0.021078016281127928,
371
+ 0.021181440353393553,
372
+ 0.02123161506652832,
373
+ 0.021181440353393553,
374
+ 0.021156864166259767,
375
+ 0.021046272277832033,
376
+ 0.021127168655395507,
377
+ 0.021222400665283202,
378
+ 0.020918272018432618,
379
+ 0.021012479782104493,
380
+ 0.021016576766967773,
381
+ 0.021339136123657225,
382
+ 0.021382144927978516,
383
+ 0.02126131248474121,
384
+ 0.021354496002197267,
385
+ 0.02085068893432617,
386
+ 0.02106982421875,
387
+ 0.021144575119018554,
388
+ 0.02104217529296875,
389
+ 0.02084864044189453,
390
+ 0.021357568740844726,
391
+ 0.02109132766723633,
392
+ 0.020213760375976563,
393
+ 0.020214784622192384,
394
+ 0.020231168746948244,
395
+ 0.020354047775268554,
396
+ 0.020257791519165038,
397
+ 0.020486143112182616,
398
+ 0.020192256927490236,
399
+ 0.020488191604614257,
400
+ 0.02030284881591797,
401
+ 0.020280319213867186,
402
+ 0.02043903923034668,
403
+ 0.02018611145019531,
404
+ 0.020290559768676757,
405
+ 0.02021683120727539,
406
+ 0.020144128799438478,
407
+ 0.020176895141601564,
408
+ 0.02030284881591797,
409
+ 0.02030182456970215,
410
+ 0.020921344757080077,
411
+ 0.021072895050048827,
412
+ 0.021029888153076173,
413
+ 0.02108415985107422,
414
+ 0.021021696090698243,
415
+ 0.020981760025024415,
416
+ 0.021006336212158205,
417
+ 0.021144575119018554,
418
+ 0.021061632156372072,
419
+ 0.02104934310913086,
420
+ 0.021918720245361328,
421
+ 0.021174272537231444,
422
+ 0.020791296005249024,
423
+ 0.02103603172302246,
424
+ 0.021046272277832033,
425
+ 0.021183488845825195,
426
+ 0.021014528274536134,
427
+ 0.020984832763671874,
428
+ 0.020816896438598635,
429
+ 0.02090291213989258,
430
+ 0.02146918487548828,
431
+ 0.021081087112426757,
432
+ 0.021329919815063478
433
+ ]
434
+ },
435
+ "throughput": {
436
+ "unit": "tokens/s",
437
+ "value": 47.728483391927135
438
+ },
439
+ "energy": null,
440
+ "efficiency": null
441
+ }
442
+ }
443
+ }
2024-06-27/commit=11138ca013add0041753aab276e83261c38b08ac/backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=False/benchmark.log ADDED
File without changes
2024-06-27/commit=11138ca013add0041753aab276e83261c38b08ac/backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=False/benchmark_config.json ADDED
@@ -0,0 +1,102 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "name": "pytorch_generate",
3
+ "backend": {
4
+ "name": "pytorch",
5
+ "version": "2.3.0+cu121",
6
+ "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
7
+ "task": "text-generation",
8
+ "library": "transformers",
9
+ "model": "google/gemma-2b",
10
+ "processor": "google/gemma-2b",
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
+ "hub_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
+ "latency": true,
56
+ "memory": 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
+ "start_method": "spawn"
72
+ },
73
+ "environment": {
74
+ "cpu": " AMD EPYC 7R32",
75
+ "cpu_count": 16,
76
+ "cpu_ram_mb": 66697.29792,
77
+ "system": "Linux",
78
+ "machine": "x86_64",
79
+ "platform": "Linux-5.10.218-208.862.amzn2.x86_64-x86_64-with-glibc2.29",
80
+ "processor": "x86_64",
81
+ "python_version": "3.8.10",
82
+ "gpu": [
83
+ "NVIDIA A10G"
84
+ ],
85
+ "gpu_count": 1,
86
+ "gpu_vram_mb": 24146608128,
87
+ "optimum_benchmark_version": "0.2.1",
88
+ "optimum_benchmark_commit": null,
89
+ "transformers_version": "4.42.0.dev0",
90
+ "transformers_commit": "11138ca013add0041753aab276e83261c38b08ac",
91
+ "accelerate_version": "0.32.0.dev0",
92
+ "accelerate_commit": null,
93
+ "diffusers_version": null,
94
+ "diffusers_commit": null,
95
+ "optimum_version": "1.21.0.dev0",
96
+ "optimum_commit": null,
97
+ "timm_version": "0.9.16",
98
+ "timm_commit": null,
99
+ "peft_version": "0.11.2.dev0",
100
+ "peft_commit": null
101
+ }
102
+ }
2024-06-27/commit=11138ca013add0041753aab276e83261c38b08ac/backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=False/benchmark_report.json ADDED
@@ -0,0 +1,339 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "prefill": {
3
+ "memory": {
4
+ "unit": "MB",
5
+ "max_ram": 1761.767424,
6
+ "max_global_vram": 6793.199616,
7
+ "max_process_vram": 0.0,
8
+ "max_reserved": 6146.752512,
9
+ "max_allocated": 5036.936192
10
+ },
11
+ "latency": {
12
+ "unit": "s",
13
+ "count": 2,
14
+ "total": 0.0457619514465332,
15
+ "mean": 0.0228809757232666,
16
+ "stdev": 0.00038017654418945335,
17
+ "p50": 0.0228809757232666,
18
+ "p90": 0.023185116958618163,
19
+ "p95": 0.02322313461303711,
20
+ "p99": 0.023253548736572264,
21
+ "values": [
22
+ 0.022500799179077147,
23
+ 0.023261152267456054
24
+ ]
25
+ },
26
+ "throughput": {
27
+ "unit": "tokens/s",
28
+ "value": 305.93100944038963
29
+ },
30
+ "energy": null,
31
+ "efficiency": null
32
+ },
33
+ "decode": {
34
+ "memory": {
35
+ "unit": "MB",
36
+ "max_ram": 1761.779712,
37
+ "max_global_vram": 6793.199616,
38
+ "max_process_vram": 0.0,
39
+ "max_reserved": 6146.752512,
40
+ "max_allocated": 5036.936704
41
+ },
42
+ "latency": {
43
+ "unit": "s",
44
+ "count": 2,
45
+ "total": 5.298493164062499,
46
+ "mean": 2.6492465820312496,
47
+ "stdev": 0.020129394531249956,
48
+ "p50": 2.6492465820312496,
49
+ "p90": 2.66535009765625,
50
+ "p95": 2.6673630371093746,
51
+ "p99": 2.668973388671875,
52
+ "values": [
53
+ 2.6291171875,
54
+ 2.6693759765625
55
+ ]
56
+ },
57
+ "throughput": {
58
+ "unit": "tokens/s",
59
+ "value": 47.93815753557588
60
+ },
61
+ "energy": null,
62
+ "efficiency": null
63
+ },
64
+ "per_token": {
65
+ "memory": null,
66
+ "latency": {
67
+ "unit": "s",
68
+ "count": 253,
69
+ "total": 5.3008179187774624,
70
+ "mean": 0.020951849481333853,
71
+ "stdev": 0.001571597032860922,
72
+ "p50": 0.02102681541442871,
73
+ "p90": 0.021315584182739256,
74
+ "p95": 0.021435596084594725,
75
+ "p99": 0.02230755264282226,
76
+ "values": [
77
+ 0.02262118339538574,
78
+ 0.020343807220458983,
79
+ 0.02021990394592285,
80
+ 0.020163583755493163,
81
+ 0.020271104812622072,
82
+ 0.020184064865112306,
83
+ 0.0218470401763916,
84
+ 0.021320703506469727,
85
+ 0.021053440093994142,
86
+ 0.02088243293762207,
87
+ 0.020883455276489257,
88
+ 0.020955135345458984,
89
+ 0.020517887115478514,
90
+ 0.0208035831451416,
91
+ 0.020000768661499024,
92
+ 0.020196352005004883,
93
+ 0.02086809539794922,
94
+ 0.02045030403137207,
95
+ 0.023051263809204102,
96
+ 0.02106675148010254,
97
+ 0.02040115165710449,
98
+ 0.020161535263061522,
99
+ 0.021148672103881837,
100
+ 0.020625408172607423,
101
+ 0.02025267219543457,
102
+ 0.020307968139648438,
103
+ 0.02016972732543945,
104
+ 0.02103091239929199,
105
+ 0.02085683250427246,
106
+ 0.020140031814575195,
107
+ 0.020158464431762696,
108
+ 0.020099071502685546,
109
+ 0.020262912750244142,
110
+ 0.020353023529052734,
111
+ 0.020322303771972656,
112
+ 0.021008384704589843,
113
+ 0.02087833595275879,
114
+ 0.020129791259765627,
115
+ 0.020502527236938475,
116
+ 0.02081996726989746,
117
+ 0.020779008865356444,
118
+ 0.020109312057495117,
119
+ 0.020143104553222657,
120
+ 0.020121599197387697,
121
+ 0.02012876892089844,
122
+ 0.02010419273376465,
123
+ 0.020328447341918944,
124
+ 0.020509695053100584,
125
+ 0.020577280044555665,
126
+ 0.02065715217590332,
127
+ 0.02030899238586426,
128
+ 0.02028441619873047,
129
+ 0.020274175643920898,
130
+ 0.020192256927490236,
131
+ 0.020257791519165038,
132
+ 0.020175872802734376,
133
+ 0.020315135955810547,
134
+ 0.020322303771972656,
135
+ 0.020362239837646484,
136
+ 0.020291584014892578,
137
+ 0.02063667106628418,
138
+ 0.02041548728942871,
139
+ 0.0202608642578125,
140
+ 0.02026700782775879,
141
+ 0.020307968139648438,
142
+ 0.02023423957824707,
143
+ 0.020306943893432617,
144
+ 0.020256767272949217,
145
+ 0.02027008056640625,
146
+ 0.020214784622192384,
147
+ 0.020187135696411132,
148
+ 0.020281343460083007,
149
+ 0.020171775817871093,
150
+ 0.02027212715148926,
151
+ 0.02047590446472168,
152
+ 0.02025164794921875,
153
+ 0.02021887969970703,
154
+ 0.02020966339111328,
155
+ 0.02026905632019043,
156
+ 0.021007360458374022,
157
+ 0.020360191345214843,
158
+ 0.020207616806030275,
159
+ 0.020365312576293947,
160
+ 0.02083328056335449,
161
+ 0.021138431549072266,
162
+ 0.02145587158203125,
163
+ 0.021097471237182617,
164
+ 0.021132287979125978,
165
+ 0.021097471237182617,
166
+ 0.02105036735534668,
167
+ 0.021102592468261717,
168
+ 0.02103500747680664,
169
+ 0.021014528274536134,
170
+ 0.021032960891723632,
171
+ 0.02104832077026367,
172
+ 0.021296127319335938,
173
+ 0.021346303939819337,
174
+ 0.0210513916015625,
175
+ 0.020950016021728517,
176
+ 0.020951040267944337,
177
+ 0.021104639053344726,
178
+ 0.021196800231933592,
179
+ 0.021255168914794922,
180
+ 0.021154815673828126,
181
+ 0.020985855102539062,
182
+ 0.021146623611450196,
183
+ 0.021127168655395507,
184
+ 0.02126335906982422,
185
+ 0.02128691291809082,
186
+ 0.021375999450683594,
187
+ 0.0211015682220459,
188
+ 0.021292032241821288,
189
+ 0.021177343368530274,
190
+ 0.02104012870788574,
191
+ 0.021246976852416992,
192
+ 0.021089279174804687,
193
+ 0.02122854423522949,
194
+ 0.020346879959106445,
195
+ 0.020547584533691408,
196
+ 0.021153791427612305,
197
+ 0.021182464599609374,
198
+ 0.021150720596313476,
199
+ 0.021114879608154297,
200
+ 0.021016576766967773,
201
+ 0.02103091239929199,
202
+ 0.02086809539794922,
203
+ 0.04471091079711914,
204
+ 0.021183488845825195,
205
+ 0.021390335083007812,
206
+ 0.021198848724365234,
207
+ 0.021206016540527343,
208
+ 0.021113855361938477,
209
+ 0.02123263931274414,
210
+ 0.021190656661987304,
211
+ 0.021283840179443358,
212
+ 0.021134336471557616,
213
+ 0.021191680908203125,
214
+ 0.02104319953918457,
215
+ 0.02107187271118164,
216
+ 0.021111808776855468,
217
+ 0.02123161506652832,
218
+ 0.021110784530639647,
219
+ 0.020157440185546875,
220
+ 0.020068351745605468,
221
+ 0.020913152694702147,
222
+ 0.021315584182739256,
223
+ 0.020904960632324218,
224
+ 0.020734975814819336,
225
+ 0.02102681541442871,
226
+ 0.021061632156372072,
227
+ 0.02105036735534668,
228
+ 0.02108518409729004,
229
+ 0.02071347236633301,
230
+ 0.020502527236938475,
231
+ 0.021347328186035155,
232
+ 0.021127168655395507,
233
+ 0.0210831356048584,
234
+ 0.02125823974609375,
235
+ 0.021045248031616212,
236
+ 0.02106368064880371,
237
+ 0.02107904052734375,
238
+ 0.021009408950805664,
239
+ 0.02086092758178711,
240
+ 0.021112831115722656,
241
+ 0.021196800231933592,
242
+ 0.02122854423522949,
243
+ 0.02109132766723633,
244
+ 0.021388288497924804,
245
+ 0.02129408073425293,
246
+ 0.02130636787414551,
247
+ 0.021315584182739256,
248
+ 0.02146918487548828,
249
+ 0.021226495742797852,
250
+ 0.021804031372070314,
251
+ 0.021963775634765623,
252
+ 0.02126643180847168,
253
+ 0.021518335342407227,
254
+ 0.02142207908630371,
255
+ 0.022018047332763673,
256
+ 0.02169036865234375,
257
+ 0.021227519989013673,
258
+ 0.021113855361938477,
259
+ 0.02122547149658203,
260
+ 0.021179391860961915,
261
+ 0.021129215240478515,
262
+ 0.021019647598266602,
263
+ 0.02108518409729004,
264
+ 0.021202943801879884,
265
+ 0.02106368064880371,
266
+ 0.021185535430908203,
267
+ 0.021078016281127928,
268
+ 0.021181440353393553,
269
+ 0.02123161506652832,
270
+ 0.021181440353393553,
271
+ 0.021156864166259767,
272
+ 0.021046272277832033,
273
+ 0.021127168655395507,
274
+ 0.021222400665283202,
275
+ 0.020918272018432618,
276
+ 0.021012479782104493,
277
+ 0.021016576766967773,
278
+ 0.021339136123657225,
279
+ 0.021382144927978516,
280
+ 0.02126131248474121,
281
+ 0.021354496002197267,
282
+ 0.02085068893432617,
283
+ 0.02106982421875,
284
+ 0.021144575119018554,
285
+ 0.02104217529296875,
286
+ 0.02084864044189453,
287
+ 0.021357568740844726,
288
+ 0.02109132766723633,
289
+ 0.020213760375976563,
290
+ 0.020214784622192384,
291
+ 0.020231168746948244,
292
+ 0.020354047775268554,
293
+ 0.020257791519165038,
294
+ 0.020486143112182616,
295
+ 0.020192256927490236,
296
+ 0.020488191604614257,
297
+ 0.02030284881591797,
298
+ 0.020280319213867186,
299
+ 0.02043903923034668,
300
+ 0.02018611145019531,
301
+ 0.020290559768676757,
302
+ 0.02021683120727539,
303
+ 0.020144128799438478,
304
+ 0.020176895141601564,
305
+ 0.02030284881591797,
306
+ 0.02030182456970215,
307
+ 0.020921344757080077,
308
+ 0.021072895050048827,
309
+ 0.021029888153076173,
310
+ 0.02108415985107422,
311
+ 0.021021696090698243,
312
+ 0.020981760025024415,
313
+ 0.021006336212158205,
314
+ 0.021144575119018554,
315
+ 0.021061632156372072,
316
+ 0.02104934310913086,
317
+ 0.021918720245361328,
318
+ 0.021174272537231444,
319
+ 0.020791296005249024,
320
+ 0.02103603172302246,
321
+ 0.021046272277832033,
322
+ 0.021183488845825195,
323
+ 0.021014528274536134,
324
+ 0.020984832763671874,
325
+ 0.020816896438598635,
326
+ 0.02090291213989258,
327
+ 0.02146918487548828,
328
+ 0.021081087112426757,
329
+ 0.021329919815063478
330
+ ]
331
+ },
332
+ "throughput": {
333
+ "unit": "tokens/s",
334
+ "value": 47.728483391927135
335
+ },
336
+ "energy": null,
337
+ "efficiency": null
338
+ }
339
+ }
2024-06-27/commit=11138ca013add0041753aab276e83261c38b08ac/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": "11138ca013add0041753aab276e83261c38b08ac",
4
+ "config": "backend.cache_implementation=static,backend.torch_compile=False",
5
+ "metrics": {
6
+ "prefill.latency.mean": 0.0228809757232666,
7
+ "prefill.throughput.value": 305.93100944038963,
8
+ "decode.latency.mean": 2.6492465820312496,
9
+ "decode.throughput.value": 47.93815753557588,
10
+ "per_token.latency.mean": 0.020951849481333853,
11
+ "per_token.throughput.value": 47.728483391927135
12
+ }
13
+ }
2024-06-27/commit=11138ca013add0041753aab276e83261c38b08ac/backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=True/.hydra/config.yaml ADDED
@@ -0,0 +1,91 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ name: pytorch_generate
2
+ backend:
3
+ name: pytorch
4
+ version: 2.3.0+cu121
5
+ _target_: optimum_benchmark.backends.pytorch.backend.PyTorchBackend
6
+ task: null
7
+ library: null
8
+ model: google/gemma-2b
9
+ processor: null
10
+ device: cuda
11
+ device_ids: '0'
12
+ seed: 42
13
+ inter_op_num_threads: null
14
+ intra_op_num_threads: null
15
+ model_kwargs: {}
16
+ processor_kwargs: {}
17
+ hub_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
+ latency: true
51
+ memory: 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
+ start_method: spawn
65
+ environment:
66
+ cpu: ' AMD EPYC 7R32'
67
+ cpu_count: 16
68
+ cpu_ram_mb: 66697.29792
69
+ system: Linux
70
+ machine: x86_64
71
+ platform: Linux-5.10.218-208.862.amzn2.x86_64-x86_64-with-glibc2.29
72
+ processor: x86_64
73
+ python_version: 3.8.10
74
+ gpu:
75
+ - NVIDIA A10G
76
+ gpu_count: 1
77
+ gpu_vram_mb: 24146608128
78
+ optimum_benchmark_version: 0.2.1
79
+ optimum_benchmark_commit: null
80
+ transformers_version: 4.42.0.dev0
81
+ transformers_commit: 11138ca013add0041753aab276e83261c38b08ac
82
+ accelerate_version: 0.32.0.dev0
83
+ accelerate_commit: null
84
+ diffusers_version: null
85
+ diffusers_commit: null
86
+ optimum_version: 1.21.0.dev0
87
+ optimum_commit: null
88
+ timm_version: 0.9.16
89
+ timm_commit: null
90
+ peft_version: 0.11.2.dev0
91
+ peft_commit: null
2024-06-27/commit=11138ca013add0041753aab276e83261c38b08ac/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/tmp039cvp9i/commit=11138ca013add0041753aab276e83261c38b08ac/${hydra.job.override_dirname}
4
+ sweep:
5
+ dir: _benchmark/tmp039cvp9i/commit=11138ca013add0041753aab276e83261c38b08ac
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
+ $HYDRA_CONFIG_GROUPS
62
+
63
+
64
+ Use ''--cfg hydra'' to Show the Hydra config.
65
+
66
+ '
67
+ hydra_help: ???
68
+ hydra_logging:
69
+ version: 1
70
+ root:
71
+ level: ERROR
72
+ disable_existing_loggers: true
73
+ job_logging:
74
+ version: 1
75
+ root:
76
+ level: ERROR
77
+ disable_existing_loggers: true
78
+ env: {}
79
+ mode: MULTIRUN
80
+ searchpath: []
81
+ callbacks: {}
82
+ output_subdir: .hydra
83
+ overrides:
84
+ hydra:
85
+ - hydra/job_logging=disabled
86
+ - hydra/hydra_logging=disabled
87
+ - hydra.sweep.dir=_benchmark/tmp039cvp9i/commit\=11138ca013add0041753aab276e83261c38b08ac
88
+ - hydra.run.dir=_benchmark/tmp039cvp9i/commit\=11138ca013add0041753aab276e83261c38b08ac/${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/tmp039cvp9i/commit=11138ca013add0041753aab276e83261c38b08ac/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
2024-06-27/commit=11138ca013add0041753aab276e83261c38b08ac/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
2024-06-27/commit=11138ca013add0041753aab276e83261c38b08ac/backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=True/benchmark.json ADDED
@@ -0,0 +1,443 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "config": {
3
+ "name": "pytorch_generate",
4
+ "backend": {
5
+ "name": "pytorch",
6
+ "version": "2.3.0+cu121",
7
+ "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
8
+ "task": "text-generation",
9
+ "library": "transformers",
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
+ "hub_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
+ "latency": true,
57
+ "memory": 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
+ "start_method": "spawn"
73
+ },
74
+ "environment": {
75
+ "cpu": " AMD EPYC 7R32",
76
+ "cpu_count": 16,
77
+ "cpu_ram_mb": 66697.29792,
78
+ "system": "Linux",
79
+ "machine": "x86_64",
80
+ "platform": "Linux-5.10.218-208.862.amzn2.x86_64-x86_64-with-glibc2.29",
81
+ "processor": "x86_64",
82
+ "python_version": "3.8.10",
83
+ "gpu": [
84
+ "NVIDIA A10G"
85
+ ],
86
+ "gpu_count": 1,
87
+ "gpu_vram_mb": 24146608128,
88
+ "optimum_benchmark_version": "0.2.1",
89
+ "optimum_benchmark_commit": null,
90
+ "transformers_version": "4.42.0.dev0",
91
+ "transformers_commit": "11138ca013add0041753aab276e83261c38b08ac",
92
+ "accelerate_version": "0.32.0.dev0",
93
+ "accelerate_commit": null,
94
+ "diffusers_version": null,
95
+ "diffusers_commit": null,
96
+ "optimum_version": "1.21.0.dev0",
97
+ "optimum_commit": null,
98
+ "timm_version": "0.9.16",
99
+ "timm_commit": null,
100
+ "peft_version": "0.11.2.dev0",
101
+ "peft_commit": null
102
+ }
103
+ },
104
+ "report": {
105
+ "prefill": {
106
+ "memory": {
107
+ "unit": "MB",
108
+ "max_ram": 1940.865024,
109
+ "max_global_vram": 6094.848,
110
+ "max_process_vram": 0.0,
111
+ "max_reserved": 5379.19488,
112
+ "max_allocated": 5021.251584
113
+ },
114
+ "latency": {
115
+ "unit": "s",
116
+ "count": 2,
117
+ "total": 0.02818406391143799,
118
+ "mean": 0.014092031955718995,
119
+ "stdev": 9.398412704467781e-05,
120
+ "p50": 0.014092031955718995,
121
+ "p90": 0.014167219257354736,
122
+ "p95": 0.014176617670059203,
123
+ "p99": 0.014184136400222778,
124
+ "values": [
125
+ 0.014186016082763672,
126
+ 0.013998047828674316
127
+ ]
128
+ },
129
+ "throughput": {
130
+ "unit": "tokens/s",
131
+ "value": 496.73461016806573
132
+ },
133
+ "energy": null,
134
+ "efficiency": null
135
+ },
136
+ "decode": {
137
+ "memory": {
138
+ "unit": "MB",
139
+ "max_ram": 2284.683264,
140
+ "max_global_vram": 8907.128832,
141
+ "max_process_vram": 0.0,
142
+ "max_reserved": 5379.19488,
143
+ "max_allocated": 5027.089408
144
+ },
145
+ "latency": {
146
+ "unit": "s",
147
+ "count": 2,
148
+ "total": 3.122516845703125,
149
+ "mean": 1.5612584228515625,
150
+ "stdev": 0.0021295166015624645,
151
+ "p50": 1.5612584228515625,
152
+ "p90": 1.5629620361328125,
153
+ "p95": 1.5631749877929686,
154
+ "p99": 1.5633453491210936,
155
+ "values": [
156
+ 1.563387939453125,
157
+ 1.55912890625
158
+ ]
159
+ },
160
+ "throughput": {
161
+ "unit": "tokens/s",
162
+ "value": 81.3446372113341
163
+ },
164
+ "energy": null,
165
+ "efficiency": null
166
+ },
167
+ "per_token": {
168
+ "memory": null,
169
+ "latency": {
170
+ "unit": "s",
171
+ "count": 253,
172
+ "total": 3.123647418975828,
173
+ "mean": 0.012346432486070475,
174
+ "stdev": 0.000893802603033846,
175
+ "p50": 0.012281855583190919,
176
+ "p90": 0.012317490959167482,
177
+ "p95": 0.012348211097717285,
178
+ "p99": 0.01273618450164795,
179
+ "values": [
180
+ 0.012666912078857421,
181
+ 0.012768159866333008,
182
+ 0.012706815719604492,
183
+ 0.012728320121765137,
184
+ 0.012744704246520995,
185
+ 0.012313599586486817,
186
+ 0.012275712013244629,
187
+ 0.012312576293945313,
188
+ 0.012263423919677734,
189
+ 0.012308480262756348,
190
+ 0.012273664474487305,
191
+ 0.012317695617675782,
192
+ 0.01224396800994873,
193
+ 0.012281855583190919,
194
+ 0.012246015548706055,
195
+ 0.012302335739135742,
196
+ 0.012247039794921874,
197
+ 0.012313599586486817,
198
+ 0.012244992256164551,
199
+ 0.012308480262756348,
200
+ 0.01226956844329834,
201
+ 0.012292096138000488,
202
+ 0.012248064041137695,
203
+ 0.012321791648864745,
204
+ 0.012275712013244629,
205
+ 0.012290047645568849,
206
+ 0.012238847732543945,
207
+ 0.01228492832183838,
208
+ 0.01225011157989502,
209
+ 0.012285951614379884,
210
+ 0.012248064041137695,
211
+ 0.012306431770324706,
212
+ 0.012280832290649414,
213
+ 0.012294143676757812,
214
+ 0.01225216007232666,
215
+ 0.012282879829406738,
216
+ 0.012296192169189453,
217
+ 0.012288000106811523,
218
+ 0.012272640228271485,
219
+ 0.012291071891784668,
220
+ 0.01224294376373291,
221
+ 0.01229312038421631,
222
+ 0.012259327888488769,
223
+ 0.012322815895080566,
224
+ 0.012614656448364257,
225
+ 0.012347392082214356,
226
+ 0.012233728408813477,
227
+ 0.012303359985351562,
228
+ 0.01225011157989502,
229
+ 0.012277759552001954,
230
+ 0.012254207611083985,
231
+ 0.012299263954162597,
232
+ 0.012253184318542481,
233
+ 0.012291071891784668,
234
+ 0.01224396800994873,
235
+ 0.012290047645568849,
236
+ 0.01225113582611084,
237
+ 0.012282879829406738,
238
+ 0.012248064041137695,
239
+ 0.012306431770324706,
240
+ 0.01226956844329834,
241
+ 0.012291071891784668,
242
+ 0.012247039794921874,
243
+ 0.01244159984588623,
244
+ 0.01225011157989502,
245
+ 0.012312576293945313,
246
+ 0.012278783798217773,
247
+ 0.012283904075622559,
248
+ 0.012246015548706055,
249
+ 0.012288000106811523,
250
+ 0.01226956844329834,
251
+ 0.012292096138000488,
252
+ 0.012259327888488769,
253
+ 0.012313599586486817,
254
+ 0.012271615982055664,
255
+ 0.012281855583190919,
256
+ 0.012249088287353516,
257
+ 0.012303359985351562,
258
+ 0.012237824440002442,
259
+ 0.012303359985351562,
260
+ 0.012289024353027344,
261
+ 0.012336128234863282,
262
+ 0.012312576293945313,
263
+ 0.012349439620971679,
264
+ 0.012406784057617188,
265
+ 0.012318719863891601,
266
+ 0.01227673625946045,
267
+ 0.012317695617675782,
268
+ 0.01225830364227295,
269
+ 0.012290047645568849,
270
+ 0.012263423919677734,
271
+ 0.012304384231567383,
272
+ 0.01226035213470459,
273
+ 0.012317760467529297,
274
+ 0.012244928359985351,
275
+ 0.012297216415405274,
276
+ 0.012255231857299804,
277
+ 0.012299263954162597,
278
+ 0.012279808044433594,
279
+ 0.012387328147888184,
280
+ 0.012434432029724121,
281
+ 0.012349439620971679,
282
+ 0.012249088287353516,
283
+ 0.01229312038421631,
284
+ 0.01227673625946045,
285
+ 0.012285951614379884,
286
+ 0.01226854419708252,
287
+ 0.012280832290649414,
288
+ 0.012266495704650878,
289
+ 0.012295167922973632,
290
+ 0.012238847732543945,
291
+ 0.01229312038421631,
292
+ 0.012254207611083985,
293
+ 0.012298239707946777,
294
+ 0.012265472412109376,
295
+ 0.012299263954162597,
296
+ 0.012240896224975586,
297
+ 0.012284992218017578,
298
+ 0.012251071929931641,
299
+ 0.012289024353027344,
300
+ 0.01226137638092041,
301
+ 0.012310527801513671,
302
+ 0.012246015548706055,
303
+ 0.012292096138000488,
304
+ 0.012263423919677734,
305
+ 0.012331007957458496,
306
+ 0.026488832473754883,
307
+ 0.01225113582611084,
308
+ 0.012306431770324706,
309
+ 0.012248064041137695,
310
+ 0.012281855583190919,
311
+ 0.01224396800994873,
312
+ 0.012311552047729492,
313
+ 0.01225011157989502,
314
+ 0.012314623832702636,
315
+ 0.012264448165893555,
316
+ 0.012290047645568849,
317
+ 0.012259327888488769,
318
+ 0.012290047645568849,
319
+ 0.012244992256164551,
320
+ 0.012286975860595703,
321
+ 0.012257280349731446,
322
+ 0.012306464195251466,
323
+ 0.012240863800048829,
324
+ 0.01227673625946045,
325
+ 0.012257280349731446,
326
+ 0.012291071891784668,
327
+ 0.012294143676757812,
328
+ 0.012283904075622559,
329
+ 0.012275712013244629,
330
+ 0.012299263954162597,
331
+ 0.01225830364227295,
332
+ 0.012277759552001954,
333
+ 0.012241920471191407,
334
+ 0.012294143676757812,
335
+ 0.01225011157989502,
336
+ 0.012288000106811523,
337
+ 0.01226137638092041,
338
+ 0.012289024353027344,
339
+ 0.012229632377624512,
340
+ 0.012299263954162597,
341
+ 0.012283904075622559,
342
+ 0.012323840141296387,
343
+ 0.012259327888488769,
344
+ 0.012327936172485352,
345
+ 0.012277759552001954,
346
+ 0.012286975860595703,
347
+ 0.012249088287353516,
348
+ 0.012291135787963868,
349
+ 0.012257216453552246,
350
+ 0.012292096138000488,
351
+ 0.012253184318542481,
352
+ 0.012292096138000488,
353
+ 0.01224294376373291,
354
+ 0.012303359985351562,
355
+ 0.012246015548706055,
356
+ 0.012289024353027344,
357
+ 0.012238847732543945,
358
+ 0.012306431770324706,
359
+ 0.012300288200378418,
360
+ 0.012282879829406738,
361
+ 0.012249088287353516,
362
+ 0.012283904075622559,
363
+ 0.012299263954162597,
364
+ 0.012280832290649414,
365
+ 0.01225830364227295,
366
+ 0.012278783798217773,
367
+ 0.012281855583190919,
368
+ 0.012286975860595703,
369
+ 0.01224294376373291,
370
+ 0.01227673625946045,
371
+ 0.012239871978759765,
372
+ 0.012313599586486817,
373
+ 0.01226854419708252,
374
+ 0.012292096138000488,
375
+ 0.012238847732543945,
376
+ 0.012278783798217773,
377
+ 0.012254207611083985,
378
+ 0.012280832290649414,
379
+ 0.012248064041137695,
380
+ 0.012295167922973632,
381
+ 0.01226137638092041,
382
+ 0.012280832290649414,
383
+ 0.0122357759475708,
384
+ 0.012329983711242675,
385
+ 0.01225830364227295,
386
+ 0.012307456016540527,
387
+ 0.01225011157989502,
388
+ 0.012307456016540527,
389
+ 0.012253184318542481,
390
+ 0.012299263954162597,
391
+ 0.012246015548706055,
392
+ 0.012294143676757812,
393
+ 0.012262399673461915,
394
+ 0.012281855583190919,
395
+ 0.01226137638092041,
396
+ 0.012288000106811523,
397
+ 0.012246015548706055,
398
+ 0.012285951614379884,
399
+ 0.01228492832183838,
400
+ 0.012288000106811523,
401
+ 0.012254207611083985,
402
+ 0.012299263954162597,
403
+ 0.012256256103515625,
404
+ 0.012295167922973632,
405
+ 0.012232704162597656,
406
+ 0.012277759552001954,
407
+ 0.012241920471191407,
408
+ 0.012278783798217773,
409
+ 0.012253184318542481,
410
+ 0.01228492832183838,
411
+ 0.012238847732543945,
412
+ 0.012288000106811523,
413
+ 0.01225830364227295,
414
+ 0.012312576293945313,
415
+ 0.012238847732543945,
416
+ 0.012299263954162597,
417
+ 0.012255231857299804,
418
+ 0.012310527801513671,
419
+ 0.012240896224975586,
420
+ 0.012273664474487305,
421
+ 0.01225011157989502,
422
+ 0.012316672325134278,
423
+ 0.012236800193786621,
424
+ 0.012297216415405274,
425
+ 0.012238944053649902,
426
+ 0.012279711723327636,
427
+ 0.012254207611083985,
428
+ 0.012286975860595703,
429
+ 0.012306431770324706,
430
+ 0.012278783798217773,
431
+ 0.012312576293945313,
432
+ 0.012340224266052247
433
+ ]
434
+ },
435
+ "throughput": {
436
+ "unit": "tokens/s",
437
+ "value": 80.99505676058429
438
+ },
439
+ "energy": null,
440
+ "efficiency": null
441
+ }
442
+ }
443
+ }
2024-06-27/commit=11138ca013add0041753aab276e83261c38b08ac/backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=True/benchmark.log ADDED
File without changes
2024-06-27/commit=11138ca013add0041753aab276e83261c38b08ac/backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=True/benchmark_config.json ADDED
@@ -0,0 +1,102 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "name": "pytorch_generate",
3
+ "backend": {
4
+ "name": "pytorch",
5
+ "version": "2.3.0+cu121",
6
+ "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
7
+ "task": "text-generation",
8
+ "library": "transformers",
9
+ "model": "google/gemma-2b",
10
+ "processor": "google/gemma-2b",
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
+ "hub_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
+ "latency": true,
56
+ "memory": 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
+ "start_method": "spawn"
72
+ },
73
+ "environment": {
74
+ "cpu": " AMD EPYC 7R32",
75
+ "cpu_count": 16,
76
+ "cpu_ram_mb": 66697.29792,
77
+ "system": "Linux",
78
+ "machine": "x86_64",
79
+ "platform": "Linux-5.10.218-208.862.amzn2.x86_64-x86_64-with-glibc2.29",
80
+ "processor": "x86_64",
81
+ "python_version": "3.8.10",
82
+ "gpu": [
83
+ "NVIDIA A10G"
84
+ ],
85
+ "gpu_count": 1,
86
+ "gpu_vram_mb": 24146608128,
87
+ "optimum_benchmark_version": "0.2.1",
88
+ "optimum_benchmark_commit": null,
89
+ "transformers_version": "4.42.0.dev0",
90
+ "transformers_commit": "11138ca013add0041753aab276e83261c38b08ac",
91
+ "accelerate_version": "0.32.0.dev0",
92
+ "accelerate_commit": null,
93
+ "diffusers_version": null,
94
+ "diffusers_commit": null,
95
+ "optimum_version": "1.21.0.dev0",
96
+ "optimum_commit": null,
97
+ "timm_version": "0.9.16",
98
+ "timm_commit": null,
99
+ "peft_version": "0.11.2.dev0",
100
+ "peft_commit": null
101
+ }
102
+ }
2024-06-27/commit=11138ca013add0041753aab276e83261c38b08ac/backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=True/benchmark_report.json ADDED
@@ -0,0 +1,339 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "prefill": {
3
+ "memory": {
4
+ "unit": "MB",
5
+ "max_ram": 1940.865024,
6
+ "max_global_vram": 6094.848,
7
+ "max_process_vram": 0.0,
8
+ "max_reserved": 5379.19488,
9
+ "max_allocated": 5021.251584
10
+ },
11
+ "latency": {
12
+ "unit": "s",
13
+ "count": 2,
14
+ "total": 0.02818406391143799,
15
+ "mean": 0.014092031955718995,
16
+ "stdev": 9.398412704467781e-05,
17
+ "p50": 0.014092031955718995,
18
+ "p90": 0.014167219257354736,
19
+ "p95": 0.014176617670059203,
20
+ "p99": 0.014184136400222778,
21
+ "values": [
22
+ 0.014186016082763672,
23
+ 0.013998047828674316
24
+ ]
25
+ },
26
+ "throughput": {
27
+ "unit": "tokens/s",
28
+ "value": 496.73461016806573
29
+ },
30
+ "energy": null,
31
+ "efficiency": null
32
+ },
33
+ "decode": {
34
+ "memory": {
35
+ "unit": "MB",
36
+ "max_ram": 2284.683264,
37
+ "max_global_vram": 8907.128832,
38
+ "max_process_vram": 0.0,
39
+ "max_reserved": 5379.19488,
40
+ "max_allocated": 5027.089408
41
+ },
42
+ "latency": {
43
+ "unit": "s",
44
+ "count": 2,
45
+ "total": 3.122516845703125,
46
+ "mean": 1.5612584228515625,
47
+ "stdev": 0.0021295166015624645,
48
+ "p50": 1.5612584228515625,
49
+ "p90": 1.5629620361328125,
50
+ "p95": 1.5631749877929686,
51
+ "p99": 1.5633453491210936,
52
+ "values": [
53
+ 1.563387939453125,
54
+ 1.55912890625
55
+ ]
56
+ },
57
+ "throughput": {
58
+ "unit": "tokens/s",
59
+ "value": 81.3446372113341
60
+ },
61
+ "energy": null,
62
+ "efficiency": null
63
+ },
64
+ "per_token": {
65
+ "memory": null,
66
+ "latency": {
67
+ "unit": "s",
68
+ "count": 253,
69
+ "total": 3.123647418975828,
70
+ "mean": 0.012346432486070475,
71
+ "stdev": 0.000893802603033846,
72
+ "p50": 0.012281855583190919,
73
+ "p90": 0.012317490959167482,
74
+ "p95": 0.012348211097717285,
75
+ "p99": 0.01273618450164795,
76
+ "values": [
77
+ 0.012666912078857421,
78
+ 0.012768159866333008,
79
+ 0.012706815719604492,
80
+ 0.012728320121765137,
81
+ 0.012744704246520995,
82
+ 0.012313599586486817,
83
+ 0.012275712013244629,
84
+ 0.012312576293945313,
85
+ 0.012263423919677734,
86
+ 0.012308480262756348,
87
+ 0.012273664474487305,
88
+ 0.012317695617675782,
89
+ 0.01224396800994873,
90
+ 0.012281855583190919,
91
+ 0.012246015548706055,
92
+ 0.012302335739135742,
93
+ 0.012247039794921874,
94
+ 0.012313599586486817,
95
+ 0.012244992256164551,
96
+ 0.012308480262756348,
97
+ 0.01226956844329834,
98
+ 0.012292096138000488,
99
+ 0.012248064041137695,
100
+ 0.012321791648864745,
101
+ 0.012275712013244629,
102
+ 0.012290047645568849,
103
+ 0.012238847732543945,
104
+ 0.01228492832183838,
105
+ 0.01225011157989502,
106
+ 0.012285951614379884,
107
+ 0.012248064041137695,
108
+ 0.012306431770324706,
109
+ 0.012280832290649414,
110
+ 0.012294143676757812,
111
+ 0.01225216007232666,
112
+ 0.012282879829406738,
113
+ 0.012296192169189453,
114
+ 0.012288000106811523,
115
+ 0.012272640228271485,
116
+ 0.012291071891784668,
117
+ 0.01224294376373291,
118
+ 0.01229312038421631,
119
+ 0.012259327888488769,
120
+ 0.012322815895080566,
121
+ 0.012614656448364257,
122
+ 0.012347392082214356,
123
+ 0.012233728408813477,
124
+ 0.012303359985351562,
125
+ 0.01225011157989502,
126
+ 0.012277759552001954,
127
+ 0.012254207611083985,
128
+ 0.012299263954162597,
129
+ 0.012253184318542481,
130
+ 0.012291071891784668,
131
+ 0.01224396800994873,
132
+ 0.012290047645568849,
133
+ 0.01225113582611084,
134
+ 0.012282879829406738,
135
+ 0.012248064041137695,
136
+ 0.012306431770324706,
137
+ 0.01226956844329834,
138
+ 0.012291071891784668,
139
+ 0.012247039794921874,
140
+ 0.01244159984588623,
141
+ 0.01225011157989502,
142
+ 0.012312576293945313,
143
+ 0.012278783798217773,
144
+ 0.012283904075622559,
145
+ 0.012246015548706055,
146
+ 0.012288000106811523,
147
+ 0.01226956844329834,
148
+ 0.012292096138000488,
149
+ 0.012259327888488769,
150
+ 0.012313599586486817,
151
+ 0.012271615982055664,
152
+ 0.012281855583190919,
153
+ 0.012249088287353516,
154
+ 0.012303359985351562,
155
+ 0.012237824440002442,
156
+ 0.012303359985351562,
157
+ 0.012289024353027344,
158
+ 0.012336128234863282,
159
+ 0.012312576293945313,
160
+ 0.012349439620971679,
161
+ 0.012406784057617188,
162
+ 0.012318719863891601,
163
+ 0.01227673625946045,
164
+ 0.012317695617675782,
165
+ 0.01225830364227295,
166
+ 0.012290047645568849,
167
+ 0.012263423919677734,
168
+ 0.012304384231567383,
169
+ 0.01226035213470459,
170
+ 0.012317760467529297,
171
+ 0.012244928359985351,
172
+ 0.012297216415405274,
173
+ 0.012255231857299804,
174
+ 0.012299263954162597,
175
+ 0.012279808044433594,
176
+ 0.012387328147888184,
177
+ 0.012434432029724121,
178
+ 0.012349439620971679,
179
+ 0.012249088287353516,
180
+ 0.01229312038421631,
181
+ 0.01227673625946045,
182
+ 0.012285951614379884,
183
+ 0.01226854419708252,
184
+ 0.012280832290649414,
185
+ 0.012266495704650878,
186
+ 0.012295167922973632,
187
+ 0.012238847732543945,
188
+ 0.01229312038421631,
189
+ 0.012254207611083985,
190
+ 0.012298239707946777,
191
+ 0.012265472412109376,
192
+ 0.012299263954162597,
193
+ 0.012240896224975586,
194
+ 0.012284992218017578,
195
+ 0.012251071929931641,
196
+ 0.012289024353027344,
197
+ 0.01226137638092041,
198
+ 0.012310527801513671,
199
+ 0.012246015548706055,
200
+ 0.012292096138000488,
201
+ 0.012263423919677734,
202
+ 0.012331007957458496,
203
+ 0.026488832473754883,
204
+ 0.01225113582611084,
205
+ 0.012306431770324706,
206
+ 0.012248064041137695,
207
+ 0.012281855583190919,
208
+ 0.01224396800994873,
209
+ 0.012311552047729492,
210
+ 0.01225011157989502,
211
+ 0.012314623832702636,
212
+ 0.012264448165893555,
213
+ 0.012290047645568849,
214
+ 0.012259327888488769,
215
+ 0.012290047645568849,
216
+ 0.012244992256164551,
217
+ 0.012286975860595703,
218
+ 0.012257280349731446,
219
+ 0.012306464195251466,
220
+ 0.012240863800048829,
221
+ 0.01227673625946045,
222
+ 0.012257280349731446,
223
+ 0.012291071891784668,
224
+ 0.012294143676757812,
225
+ 0.012283904075622559,
226
+ 0.012275712013244629,
227
+ 0.012299263954162597,
228
+ 0.01225830364227295,
229
+ 0.012277759552001954,
230
+ 0.012241920471191407,
231
+ 0.012294143676757812,
232
+ 0.01225011157989502,
233
+ 0.012288000106811523,
234
+ 0.01226137638092041,
235
+ 0.012289024353027344,
236
+ 0.012229632377624512,
237
+ 0.012299263954162597,
238
+ 0.012283904075622559,
239
+ 0.012323840141296387,
240
+ 0.012259327888488769,
241
+ 0.012327936172485352,
242
+ 0.012277759552001954,
243
+ 0.012286975860595703,
244
+ 0.012249088287353516,
245
+ 0.012291135787963868,
246
+ 0.012257216453552246,
247
+ 0.012292096138000488,
248
+ 0.012253184318542481,
249
+ 0.012292096138000488,
250
+ 0.01224294376373291,
251
+ 0.012303359985351562,
252
+ 0.012246015548706055,
253
+ 0.012289024353027344,
254
+ 0.012238847732543945,
255
+ 0.012306431770324706,
256
+ 0.012300288200378418,
257
+ 0.012282879829406738,
258
+ 0.012249088287353516,
259
+ 0.012283904075622559,
260
+ 0.012299263954162597,
261
+ 0.012280832290649414,
262
+ 0.01225830364227295,
263
+ 0.012278783798217773,
264
+ 0.012281855583190919,
265
+ 0.012286975860595703,
266
+ 0.01224294376373291,
267
+ 0.01227673625946045,
268
+ 0.012239871978759765,
269
+ 0.012313599586486817,
270
+ 0.01226854419708252,
271
+ 0.012292096138000488,
272
+ 0.012238847732543945,
273
+ 0.012278783798217773,
274
+ 0.012254207611083985,
275
+ 0.012280832290649414,
276
+ 0.012248064041137695,
277
+ 0.012295167922973632,
278
+ 0.01226137638092041,
279
+ 0.012280832290649414,
280
+ 0.0122357759475708,
281
+ 0.012329983711242675,
282
+ 0.01225830364227295,
283
+ 0.012307456016540527,
284
+ 0.01225011157989502,
285
+ 0.012307456016540527,
286
+ 0.012253184318542481,
287
+ 0.012299263954162597,
288
+ 0.012246015548706055,
289
+ 0.012294143676757812,
290
+ 0.012262399673461915,
291
+ 0.012281855583190919,
292
+ 0.01226137638092041,
293
+ 0.012288000106811523,
294
+ 0.012246015548706055,
295
+ 0.012285951614379884,
296
+ 0.01228492832183838,
297
+ 0.012288000106811523,
298
+ 0.012254207611083985,
299
+ 0.012299263954162597,
300
+ 0.012256256103515625,
301
+ 0.012295167922973632,
302
+ 0.012232704162597656,
303
+ 0.012277759552001954,
304
+ 0.012241920471191407,
305
+ 0.012278783798217773,
306
+ 0.012253184318542481,
307
+ 0.01228492832183838,
308
+ 0.012238847732543945,
309
+ 0.012288000106811523,
310
+ 0.01225830364227295,
311
+ 0.012312576293945313,
312
+ 0.012238847732543945,
313
+ 0.012299263954162597,
314
+ 0.012255231857299804,
315
+ 0.012310527801513671,
316
+ 0.012240896224975586,
317
+ 0.012273664474487305,
318
+ 0.01225011157989502,
319
+ 0.012316672325134278,
320
+ 0.012236800193786621,
321
+ 0.012297216415405274,
322
+ 0.012238944053649902,
323
+ 0.012279711723327636,
324
+ 0.012254207611083985,
325
+ 0.012286975860595703,
326
+ 0.012306431770324706,
327
+ 0.012278783798217773,
328
+ 0.012312576293945313,
329
+ 0.012340224266052247
330
+ ]
331
+ },
332
+ "throughput": {
333
+ "unit": "tokens/s",
334
+ "value": 80.99505676058429
335
+ },
336
+ "energy": null,
337
+ "efficiency": null
338
+ }
339
+ }
2024-06-27/commit=11138ca013add0041753aab276e83261c38b08ac/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": "11138ca013add0041753aab276e83261c38b08ac",
4
+ "config": "backend.cache_implementation=static,backend.torch_compile=True",
5
+ "metrics": {
6
+ "prefill.latency.mean": 0.014092031955718995,
7
+ "prefill.throughput.value": 496.73461016806573,
8
+ "decode.latency.mean": 1.5612584228515625,
9
+ "decode.throughput.value": 81.3446372113341,
10
+ "per_token.latency.mean": 0.012346432486070475,
11
+ "per_token.throughput.value": 80.99505676058429
12
+ }
13
+ }
2024-06-27/commit=11138ca013add0041753aab276e83261c38b08ac/multirun.yaml ADDED
@@ -0,0 +1,232 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ hydra:
2
+ run:
3
+ dir: _benchmark/tmp039cvp9i/commit=11138ca013add0041753aab276e83261c38b08ac/${hydra.job.override_dirname}
4
+ sweep:
5
+ dir: _benchmark/tmp039cvp9i/commit=11138ca013add0041753aab276e83261c38b08ac
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
+ $HYDRA_CONFIG_GROUPS
62
+
63
+
64
+ Use ''--cfg hydra'' to Show the Hydra config.
65
+
66
+ '
67
+ hydra_help: ???
68
+ hydra_logging:
69
+ version: 1
70
+ root:
71
+ level: ERROR
72
+ disable_existing_loggers: true
73
+ job_logging:
74
+ version: 1
75
+ root:
76
+ level: ERROR
77
+ disable_existing_loggers: true
78
+ env: {}
79
+ mode: MULTIRUN
80
+ searchpath: []
81
+ callbacks: {}
82
+ output_subdir: .hydra
83
+ overrides:
84
+ hydra:
85
+ - hydra/job_logging=disabled
86
+ - hydra/hydra_logging=disabled
87
+ - hydra.sweep.dir=_benchmark/tmp039cvp9i/commit\=11138ca013add0041753aab276e83261c38b08ac
88
+ - hydra.run.dir=_benchmark/tmp039cvp9i/commit\=11138ca013add0041753aab276e83261c38b08ac/${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: 2.3.0+cu121
146
+ _target_: optimum_benchmark.backends.pytorch.backend.PyTorchBackend
147
+ task: null
148
+ library: null
149
+ model: google/gemma-2b
150
+ processor: null
151
+ device: cuda
152
+ device_ids: '0'
153
+ seed: 42
154
+ inter_op_num_threads: null
155
+ intra_op_num_threads: null
156
+ model_kwargs: {}
157
+ processor_kwargs: {}
158
+ hub_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
+ latency: true
192
+ memory: 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
+ start_method: spawn
206
+ environment:
207
+ cpu: ' AMD EPYC 7R32'
208
+ cpu_count: 16
209
+ cpu_ram_mb: 66697.29792
210
+ system: Linux
211
+ machine: x86_64
212
+ platform: Linux-5.10.218-208.862.amzn2.x86_64-x86_64-with-glibc2.29
213
+ processor: x86_64
214
+ python_version: 3.8.10
215
+ gpu:
216
+ - NVIDIA A10G
217
+ gpu_count: 1
218
+ gpu_vram_mb: 24146608128
219
+ optimum_benchmark_version: 0.2.1
220
+ optimum_benchmark_commit: null
221
+ transformers_version: 4.42.0.dev0
222
+ transformers_commit: 11138ca013add0041753aab276e83261c38b08ac
223
+ accelerate_version: 0.32.0.dev0
224
+ accelerate_commit: null
225
+ diffusers_version: null
226
+ diffusers_commit: null
227
+ optimum_version: 1.21.0.dev0
228
+ optimum_commit: null
229
+ timm_version: 0.9.16
230
+ timm_commit: null
231
+ peft_version: 0.11.2.dev0
232
+ peft_commit: null
2024-06-27/summaries.json ADDED
@@ -0,0 +1,41 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ [
2
+ {
3
+ "model": "google/gemma-2b",
4
+ "commit": "11138ca013add0041753aab276e83261c38b08ac",
5
+ "config": "backend.cache_implementation=null,backend.torch_compile=False",
6
+ "metrics": {
7
+ "prefill.latency.mean": 0.02065000057220459,
8
+ "prefill.throughput.value": 338.98304145435094,
9
+ "decode.latency.mean": 2.4808460693359375,
10
+ "decode.throughput.value": 51.19221283809633,
11
+ "per_token.latency.mean": 0.019609357132742054,
12
+ "per_token.throughput.value": 50.99606240177472
13
+ }
14
+ },
15
+ {
16
+ "model": "google/gemma-2b",
17
+ "commit": "11138ca013add0041753aab276e83261c38b08ac",
18
+ "config": "backend.cache_implementation=static,backend.torch_compile=False",
19
+ "metrics": {
20
+ "prefill.latency.mean": 0.0228809757232666,
21
+ "prefill.throughput.value": 305.93100944038963,
22
+ "decode.latency.mean": 2.6492465820312496,
23
+ "decode.throughput.value": 47.93815753557588,
24
+ "per_token.latency.mean": 0.020951849481333853,
25
+ "per_token.throughput.value": 47.728483391927135
26
+ }
27
+ },
28
+ {
29
+ "model": "google/gemma-2b",
30
+ "commit": "11138ca013add0041753aab276e83261c38b08ac",
31
+ "config": "backend.cache_implementation=static,backend.torch_compile=True",
32
+ "metrics": {
33
+ "prefill.latency.mean": 0.014092031955718995,
34
+ "prefill.throughput.value": 496.73461016806573,
35
+ "decode.latency.mean": 1.5612584228515625,
36
+ "decode.throughput.value": 81.3446372113341,
37
+ "per_token.latency.mean": 0.012346432486070475,
38
+ "per_token.throughput.value": 80.99505676058429
39
+ }
40
+ }
41
+ ]
2024-06-27/summary.json ADDED
@@ -0,0 +1,40 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "google/gemma-2b": {
3
+ "backend.cache_implementation=null,backend.torch_compile=False": {
4
+ "11138ca013add0041753aab276e83261c38b08ac": {
5
+ "metrics": {
6
+ "prefill.latency.mean": 0.02065000057220459,
7
+ "prefill.throughput.value": 338.98304145435094,
8
+ "decode.latency.mean": 2.4808460693359375,
9
+ "decode.throughput.value": 51.19221283809633,
10
+ "per_token.latency.mean": 0.019609357132742054,
11
+ "per_token.throughput.value": 50.99606240177472
12
+ }
13
+ }
14
+ },
15
+ "backend.cache_implementation=static,backend.torch_compile=False": {
16
+ "11138ca013add0041753aab276e83261c38b08ac": {
17
+ "metrics": {
18
+ "prefill.latency.mean": 0.0228809757232666,
19
+ "prefill.throughput.value": 305.93100944038963,
20
+ "decode.latency.mean": 2.6492465820312496,
21
+ "decode.throughput.value": 47.93815753557588,
22
+ "per_token.latency.mean": 0.020951849481333853,
23
+ "per_token.throughput.value": 47.728483391927135
24
+ }
25
+ }
26
+ },
27
+ "backend.cache_implementation=static,backend.torch_compile=True": {
28
+ "11138ca013add0041753aab276e83261c38b08ac": {
29
+ "metrics": {
30
+ "prefill.latency.mean": 0.014092031955718995,
31
+ "prefill.throughput.value": 496.73461016806573,
32
+ "decode.latency.mean": 1.5612584228515625,
33
+ "decode.throughput.value": 81.3446372113341,
34
+ "per_token.latency.mean": 0.012346432486070475,
35
+ "per_token.throughput.value": 80.99505676058429
36
+ }
37
+ }
38
+ }
39
+ }
40
+ }