hf-transformers-bot commited on
Commit
1fc60f2
1 Parent(s): 554019b

Upload folder using huggingface_hub

Browse files
Files changed (32) hide show
  1. 2024-09-09/commit=66bc4def9505fa7c7fe4aa7a248c34a026bb552b/backend.cache_implementation=null,backend.model=google/gemma-2b,backend.torch_compile=False/.hydra/config.yaml +93 -0
  2. 2024-09-09/commit=66bc4def9505fa7c7fe4aa7a248c34a026bb552b/backend.cache_implementation=null,backend.model=google/gemma-2b,backend.torch_compile=False/.hydra/hydra.yaml +141 -0
  3. 2024-09-09/commit=66bc4def9505fa7c7fe4aa7a248c34a026bb552b/backend.cache_implementation=null,backend.model=google/gemma-2b,backend.torch_compile=False/.hydra/overrides.yaml +3 -0
  4. 2024-09-09/commit=66bc4def9505fa7c7fe4aa7a248c34a026bb552b/backend.cache_implementation=null,backend.model=google/gemma-2b,backend.torch_compile=False/benchmark.json +473 -0
  5. 2024-09-09/commit=66bc4def9505fa7c7fe4aa7a248c34a026bb552b/backend.cache_implementation=null,backend.model=google/gemma-2b,backend.torch_compile=False/benchmark.log +0 -0
  6. 2024-09-09/commit=66bc4def9505fa7c7fe4aa7a248c34a026bb552b/backend.cache_implementation=null,backend.model=google/gemma-2b,backend.torch_compile=False/benchmark_config.json +104 -0
  7. 2024-09-09/commit=66bc4def9505fa7c7fe4aa7a248c34a026bb552b/backend.cache_implementation=null,backend.model=google/gemma-2b,backend.torch_compile=False/benchmark_report.json +367 -0
  8. 2024-09-09/commit=66bc4def9505fa7c7fe4aa7a248c34a026bb552b/backend.cache_implementation=null,backend.model=google/gemma-2b,backend.torch_compile=False/summary.json +13 -0
  9. 2024-09-09/commit=66bc4def9505fa7c7fe4aa7a248c34a026bb552b/backend.cache_implementation=null,backend.model=google/gemma-2b,backend.torch_compile=True/.hydra/config.yaml +93 -0
  10. 2024-09-09/commit=66bc4def9505fa7c7fe4aa7a248c34a026bb552b/backend.cache_implementation=null,backend.model=google/gemma-2b,backend.torch_compile=True/.hydra/hydra.yaml +141 -0
  11. 2024-09-09/commit=66bc4def9505fa7c7fe4aa7a248c34a026bb552b/backend.cache_implementation=null,backend.model=google/gemma-2b,backend.torch_compile=True/.hydra/overrides.yaml +3 -0
  12. 2024-09-09/commit=66bc4def9505fa7c7fe4aa7a248c34a026bb552b/backend.cache_implementation=null,backend.model=google/gemma-2b,backend.torch_compile=True/benchmark.log +2 -0
  13. 2024-09-09/commit=66bc4def9505fa7c7fe4aa7a248c34a026bb552b/backend.cache_implementation=null,backend.model=google/gemma-2b,backend.torch_compile=True/benchmark_config.json +104 -0
  14. 2024-09-09/commit=66bc4def9505fa7c7fe4aa7a248c34a026bb552b/backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=False/.hydra/config.yaml +93 -0
  15. 2024-09-09/commit=66bc4def9505fa7c7fe4aa7a248c34a026bb552b/backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=False/.hydra/hydra.yaml +141 -0
  16. 2024-09-09/commit=66bc4def9505fa7c7fe4aa7a248c34a026bb552b/backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=False/.hydra/overrides.yaml +3 -0
  17. 2024-09-09/commit=66bc4def9505fa7c7fe4aa7a248c34a026bb552b/backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=False/benchmark.json +473 -0
  18. 2024-09-09/commit=66bc4def9505fa7c7fe4aa7a248c34a026bb552b/backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=False/benchmark.log +0 -0
  19. 2024-09-09/commit=66bc4def9505fa7c7fe4aa7a248c34a026bb552b/backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=False/benchmark_config.json +104 -0
  20. 2024-09-09/commit=66bc4def9505fa7c7fe4aa7a248c34a026bb552b/backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=False/benchmark_report.json +367 -0
  21. 2024-09-09/commit=66bc4def9505fa7c7fe4aa7a248c34a026bb552b/backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=False/summary.json +13 -0
  22. 2024-09-09/commit=66bc4def9505fa7c7fe4aa7a248c34a026bb552b/backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=True/.hydra/config.yaml +93 -0
  23. 2024-09-09/commit=66bc4def9505fa7c7fe4aa7a248c34a026bb552b/backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=True/.hydra/hydra.yaml +141 -0
  24. 2024-09-09/commit=66bc4def9505fa7c7fe4aa7a248c34a026bb552b/backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=True/.hydra/overrides.yaml +3 -0
  25. 2024-09-09/commit=66bc4def9505fa7c7fe4aa7a248c34a026bb552b/backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=True/benchmark.json +473 -0
  26. 2024-09-09/commit=66bc4def9505fa7c7fe4aa7a248c34a026bb552b/backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=True/benchmark.log +0 -0
  27. 2024-09-09/commit=66bc4def9505fa7c7fe4aa7a248c34a026bb552b/backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=True/benchmark_config.json +104 -0
  28. 2024-09-09/commit=66bc4def9505fa7c7fe4aa7a248c34a026bb552b/backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=True/benchmark_report.json +367 -0
  29. 2024-09-09/commit=66bc4def9505fa7c7fe4aa7a248c34a026bb552b/backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=True/summary.json +13 -0
  30. 2024-09-09/commit=66bc4def9505fa7c7fe4aa7a248c34a026bb552b/multirun.yaml +234 -0
  31. 2024-09-09/summaries.json +41 -0
  32. 2024-09-09/summary.json +40 -0
2024-09-09/commit=66bc4def9505fa7c7fe4aa7a248c34a026bb552b/backend.cache_implementation=null,backend.model=google/gemma-2b,backend.torch_compile=False/.hydra/config.yaml ADDED
@@ -0,0 +1,93 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ name: pytorch_generate
2
+ backend:
3
+ name: pytorch
4
+ version: 2.4.0+cu121
5
+ _target_: optimum_benchmark.backends.pytorch.backend.PyTorchBackend
6
+ task: null
7
+ library: null
8
+ model_type: null
9
+ model: google/gemma-2b
10
+ processor: null
11
+ device: cuda
12
+ device_ids: '0'
13
+ seed: 42
14
+ inter_op_num_threads: null
15
+ intra_op_num_threads: null
16
+ model_kwargs: {}
17
+ processor_kwargs: {}
18
+ no_weights: true
19
+ device_map: null
20
+ torch_dtype: float16
21
+ eval_mode: true
22
+ to_bettertransformer: false
23
+ low_cpu_mem_usage: null
24
+ attn_implementation: null
25
+ cache_implementation: null
26
+ autocast_enabled: false
27
+ autocast_dtype: null
28
+ torch_compile: false
29
+ torch_compile_target: forward
30
+ torch_compile_config:
31
+ backend: inductor
32
+ mode: reduce-overhead
33
+ fullgraph: true
34
+ quantization_scheme: null
35
+ quantization_config: {}
36
+ deepspeed_inference: false
37
+ deepspeed_inference_config: {}
38
+ peft_type: null
39
+ peft_config: {}
40
+ scenario:
41
+ name: inference
42
+ _target_: optimum_benchmark.scenarios.inference.scenario.InferenceScenario
43
+ iterations: 2
44
+ duration: 0
45
+ warmup_runs: 10
46
+ input_shapes:
47
+ batch_size: 1
48
+ sequence_length: 7
49
+ new_tokens: null
50
+ memory: true
51
+ latency: true
52
+ energy: false
53
+ forward_kwargs: {}
54
+ generate_kwargs:
55
+ max_new_tokens: 128
56
+ min_new_tokens: 128
57
+ do_sample: false
58
+ call_kwargs: {}
59
+ launcher:
60
+ name: process
61
+ _target_: optimum_benchmark.launchers.process.launcher.ProcessLauncher
62
+ device_isolation: true
63
+ device_isolation_action: warn
64
+ numactl: false
65
+ numactl_kwargs: {}
66
+ start_method: spawn
67
+ environment:
68
+ cpu: ' AMD EPYC 7R32'
69
+ cpu_count: 16
70
+ cpu_ram_mb: 66697.261056
71
+ system: Linux
72
+ machine: x86_64
73
+ platform: Linux-5.10.223-212.873.amzn2.x86_64-x86_64-with-glibc2.29
74
+ processor: x86_64
75
+ python_version: 3.8.10
76
+ gpu:
77
+ - NVIDIA A10G
78
+ gpu_count: 1
79
+ gpu_vram_mb: 24146608128
80
+ optimum_benchmark_version: 0.4.0
81
+ optimum_benchmark_commit: null
82
+ transformers_version: 4.45.0.dev0
83
+ transformers_commit: 66bc4def9505fa7c7fe4aa7a248c34a026bb552b
84
+ accelerate_version: 0.35.0.dev0
85
+ accelerate_commit: null
86
+ diffusers_version: null
87
+ diffusers_commit: null
88
+ optimum_version: 1.22.0.dev0
89
+ optimum_commit: null
90
+ timm_version: 0.9.16
91
+ timm_commit: null
92
+ peft_version: 0.12.1.dev0
93
+ peft_commit: null
2024-09-09/commit=66bc4def9505fa7c7fe4aa7a248c34a026bb552b/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/tmp9ylowwqc/commit=66bc4def9505fa7c7fe4aa7a248c34a026bb552b/${hydra.job.override_dirname}
4
+ sweep:
5
+ dir: _benchmark/tmp9ylowwqc/commit=66bc4def9505fa7c7fe4aa7a248c34a026bb552b
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
+ $HYDRA_CONFIG_GROUPS
62
+
63
+
64
+ Use ''--cfg hydra'' to Show the Hydra config.
65
+
66
+ '
67
+ hydra_help: ???
68
+ hydra_logging:
69
+ version: 1
70
+ root:
71
+ level: ERROR
72
+ disable_existing_loggers: true
73
+ job_logging:
74
+ version: 1
75
+ root:
76
+ level: ERROR
77
+ disable_existing_loggers: true
78
+ env: {}
79
+ mode: MULTIRUN
80
+ searchpath: []
81
+ callbacks: {}
82
+ output_subdir: .hydra
83
+ overrides:
84
+ hydra:
85
+ - hydra/job_logging=disabled
86
+ - hydra/hydra_logging=disabled
87
+ - hydra.sweep.dir=_benchmark/tmp9ylowwqc/commit\=66bc4def9505fa7c7fe4aa7a248c34a026bb552b
88
+ - hydra.run.dir=_benchmark/tmp9ylowwqc/commit\=66bc4def9505fa7c7fe4aa7a248c34a026bb552b/${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/tmp9ylowwqc/commit=66bc4def9505fa7c7fe4aa7a248c34a026bb552b/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
2024-09-09/commit=66bc4def9505fa7c7fe4aa7a248c34a026bb552b/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
2024-09-09/commit=66bc4def9505fa7c7fe4aa7a248c34a026bb552b/backend.cache_implementation=null,backend.model=google/gemma-2b,backend.torch_compile=False/benchmark.json ADDED
@@ -0,0 +1,473 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "config": {
3
+ "name": "pytorch_generate",
4
+ "backend": {
5
+ "name": "pytorch",
6
+ "version": "2.4.0+cu121",
7
+ "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
8
+ "task": "text-generation",
9
+ "library": "transformers",
10
+ "model_type": "gemma",
11
+ "model": "google/gemma-2b",
12
+ "processor": "google/gemma-2b",
13
+ "device": "cuda",
14
+ "device_ids": "0",
15
+ "seed": 42,
16
+ "inter_op_num_threads": null,
17
+ "intra_op_num_threads": null,
18
+ "model_kwargs": {},
19
+ "processor_kwargs": {},
20
+ "no_weights": true,
21
+ "device_map": null,
22
+ "torch_dtype": "float16",
23
+ "eval_mode": true,
24
+ "to_bettertransformer": false,
25
+ "low_cpu_mem_usage": null,
26
+ "attn_implementation": null,
27
+ "cache_implementation": null,
28
+ "autocast_enabled": false,
29
+ "autocast_dtype": null,
30
+ "torch_compile": false,
31
+ "torch_compile_target": "forward",
32
+ "torch_compile_config": {
33
+ "backend": "inductor",
34
+ "mode": "reduce-overhead",
35
+ "fullgraph": true
36
+ },
37
+ "quantization_scheme": null,
38
+ "quantization_config": {},
39
+ "deepspeed_inference": false,
40
+ "deepspeed_inference_config": {},
41
+ "peft_type": null,
42
+ "peft_config": {}
43
+ },
44
+ "scenario": {
45
+ "name": "inference",
46
+ "_target_": "optimum_benchmark.scenarios.inference.scenario.InferenceScenario",
47
+ "iterations": 2,
48
+ "duration": 0,
49
+ "warmup_runs": 10,
50
+ "input_shapes": {
51
+ "batch_size": 1,
52
+ "num_choices": 2,
53
+ "sequence_length": 7
54
+ },
55
+ "new_tokens": null,
56
+ "memory": true,
57
+ "latency": true,
58
+ "energy": false,
59
+ "forward_kwargs": {},
60
+ "generate_kwargs": {
61
+ "max_new_tokens": 128,
62
+ "min_new_tokens": 128,
63
+ "do_sample": false
64
+ },
65
+ "call_kwargs": {}
66
+ },
67
+ "launcher": {
68
+ "name": "process",
69
+ "_target_": "optimum_benchmark.launchers.process.launcher.ProcessLauncher",
70
+ "device_isolation": true,
71
+ "device_isolation_action": "warn",
72
+ "numactl": false,
73
+ "numactl_kwargs": {},
74
+ "start_method": "spawn"
75
+ },
76
+ "environment": {
77
+ "cpu": " AMD EPYC 7R32",
78
+ "cpu_count": 16,
79
+ "cpu_ram_mb": 66697.261056,
80
+ "system": "Linux",
81
+ "machine": "x86_64",
82
+ "platform": "Linux-5.10.223-212.873.amzn2.x86_64-x86_64-with-glibc2.29",
83
+ "processor": "x86_64",
84
+ "python_version": "3.8.10",
85
+ "gpu": [
86
+ "NVIDIA A10G"
87
+ ],
88
+ "gpu_count": 1,
89
+ "gpu_vram_mb": 24146608128,
90
+ "optimum_benchmark_version": "0.4.0",
91
+ "optimum_benchmark_commit": null,
92
+ "transformers_version": "4.45.0.dev0",
93
+ "transformers_commit": "66bc4def9505fa7c7fe4aa7a248c34a026bb552b",
94
+ "accelerate_version": "0.35.0.dev0",
95
+ "accelerate_commit": null,
96
+ "diffusers_version": null,
97
+ "diffusers_commit": null,
98
+ "optimum_version": "1.22.0.dev0",
99
+ "optimum_commit": null,
100
+ "timm_version": "0.9.16",
101
+ "timm_commit": null,
102
+ "peft_version": "0.12.1.dev0",
103
+ "peft_commit": null
104
+ }
105
+ },
106
+ "report": {
107
+ "load": {
108
+ "memory": {
109
+ "unit": "MB",
110
+ "max_ram": 1336.111104,
111
+ "max_global_vram": 6775.373824,
112
+ "max_process_vram": 0.0,
113
+ "max_reserved": 6138.363904,
114
+ "max_allocated": 6060.931072
115
+ },
116
+ "latency": {
117
+ "unit": "s",
118
+ "count": 1,
119
+ "total": 11.5026650390625,
120
+ "mean": 11.5026650390625,
121
+ "stdev": 0.0,
122
+ "p50": 11.5026650390625,
123
+ "p90": 11.5026650390625,
124
+ "p95": 11.5026650390625,
125
+ "p99": 11.5026650390625,
126
+ "values": [
127
+ 11.5026650390625
128
+ ]
129
+ },
130
+ "throughput": null,
131
+ "energy": null,
132
+ "efficiency": null
133
+ },
134
+ "prefill": {
135
+ "memory": {
136
+ "unit": "MB",
137
+ "max_ram": 1781.06368,
138
+ "max_global_vram": 6796.345344,
139
+ "max_process_vram": 0.0,
140
+ "max_reserved": 6142.558208,
141
+ "max_allocated": 5028.431872
142
+ },
143
+ "latency": {
144
+ "unit": "s",
145
+ "count": 2,
146
+ "total": 0.04159145545959472,
147
+ "mean": 0.02079572772979736,
148
+ "stdev": 9.697628021240223e-05,
149
+ "p50": 0.02079572772979736,
150
+ "p90": 0.020873308753967285,
151
+ "p95": 0.020883006381988527,
152
+ "p99": 0.02089076448440552,
153
+ "values": [
154
+ 0.02069875144958496,
155
+ 0.020892704010009765
156
+ ]
157
+ },
158
+ "throughput": {
159
+ "unit": "tokens/s",
160
+ "value": 336.6075999336143
161
+ },
162
+ "energy": null,
163
+ "efficiency": null
164
+ },
165
+ "decode": {
166
+ "memory": {
167
+ "unit": "MB",
168
+ "max_ram": 1839.099904,
169
+ "max_global_vram": 6800.539648,
170
+ "max_process_vram": 0.0,
171
+ "max_reserved": 6146.752512,
172
+ "max_allocated": 5031.801344
173
+ },
174
+ "latency": {
175
+ "unit": "s",
176
+ "count": 2,
177
+ "total": 5.098266357421875,
178
+ "mean": 2.5491331787109375,
179
+ "stdev": 0.0021544189453126528,
180
+ "p50": 2.5491331787109375,
181
+ "p90": 2.5508567138671876,
182
+ "p95": 2.5510721557617186,
183
+ "p99": 2.551244509277344,
184
+ "values": [
185
+ 2.55128759765625,
186
+ 2.546978759765625
187
+ ]
188
+ },
189
+ "throughput": {
190
+ "unit": "tokens/s",
191
+ "value": 49.82085716848352
192
+ },
193
+ "energy": null,
194
+ "efficiency": null
195
+ },
196
+ "per_token": {
197
+ "memory": null,
198
+ "latency": {
199
+ "unit": "s",
200
+ "count": 254,
201
+ "total": 5.0979501895904535,
202
+ "mean": 0.020070670037757695,
203
+ "stdev": 0.0005546999471228763,
204
+ "p50": 0.020323840141296387,
205
+ "p90": 0.020567039489746093,
206
+ "p95": 0.020685157680511473,
207
+ "p99": 0.021063240242004393,
208
+ "values": [
209
+ 0.01923583984375,
210
+ 0.01922867202758789,
211
+ 0.019375104904174805,
212
+ 0.01923072052001953,
213
+ 0.01922150421142578,
214
+ 0.01925017547607422,
215
+ 0.019321855545043946,
216
+ 0.01922355270385742,
217
+ 0.0192174072265625,
218
+ 0.019549184799194336,
219
+ 0.019305471420288087,
220
+ 0.01921843147277832,
221
+ 0.019336191177368164,
222
+ 0.01923072052001953,
223
+ 0.01921331214904785,
224
+ 0.019183616638183593,
225
+ 0.01927475166320801,
226
+ 0.01942937660217285,
227
+ 0.019418111801147463,
228
+ 0.020405248641967775,
229
+ 0.021134336471557616,
230
+ 0.020541439056396483,
231
+ 0.020435968399047853,
232
+ 0.020471807479858398,
233
+ 0.02048307228088379,
234
+ 0.020382720947265624,
235
+ 0.020351999282836913,
236
+ 0.02046566390991211,
237
+ 0.020255775451660157,
238
+ 0.02028028869628906,
239
+ 0.020477951049804686,
240
+ 0.02031718444824219,
241
+ 0.02027724838256836,
242
+ 0.01963315200805664,
243
+ 0.020419584274291993,
244
+ 0.01941196823120117,
245
+ 0.01927577590942383,
246
+ 0.01923686408996582,
247
+ 0.020345855712890625,
248
+ 0.020462591171264647,
249
+ 0.02026905632019043,
250
+ 0.020341760635375978,
251
+ 0.02032640075683594,
252
+ 0.02026393508911133,
253
+ 0.020351999282836913,
254
+ 0.020331520080566406,
255
+ 0.020495359420776366,
256
+ 0.020368383407592772,
257
+ 0.020303871154785155,
258
+ 0.020370431900024414,
259
+ 0.02049126434326172,
260
+ 0.019281919479370118,
261
+ 0.01925324821472168,
262
+ 0.01922764778137207,
263
+ 0.019663871765136717,
264
+ 0.020282367706298828,
265
+ 0.020264959335327147,
266
+ 0.02045030403137207,
267
+ 0.020601856231689454,
268
+ 0.02044927978515625,
269
+ 0.02043801689147949,
270
+ 0.020528127670288086,
271
+ 0.019351551055908203,
272
+ 0.019499008178710937,
273
+ 0.019273759841918946,
274
+ 0.019324895858764648,
275
+ 0.019406848907470704,
276
+ 0.019571712493896484,
277
+ 0.020299776077270508,
278
+ 0.02043391990661621,
279
+ 0.0194652156829834,
280
+ 0.020460544586181642,
281
+ 0.02060697555541992,
282
+ 0.020462591171264647,
283
+ 0.02079641532897949,
284
+ 0.02057318305969238,
285
+ 0.020576255798339844,
286
+ 0.02046566390991211,
287
+ 0.01945088005065918,
288
+ 0.019513343811035155,
289
+ 0.01942323112487793,
290
+ 0.019405824661254883,
291
+ 0.020529151916503906,
292
+ 0.02050662422180176,
293
+ 0.02048307228088379,
294
+ 0.020486143112182616,
295
+ 0.01944063949584961,
296
+ 0.019501056671142578,
297
+ 0.019341312408447265,
298
+ 0.02002841567993164,
299
+ 0.02041651153564453,
300
+ 0.02047590446472168,
301
+ 0.02048102378845215,
302
+ 0.019893247604370116,
303
+ 0.020666368484497072,
304
+ 0.02050764846801758,
305
+ 0.02020249557495117,
306
+ 0.019389440536499023,
307
+ 0.019361791610717775,
308
+ 0.02088652801513672,
309
+ 0.020502527236938475,
310
+ 0.021000192642211913,
311
+ 0.02162073516845703,
312
+ 0.020730880737304686,
313
+ 0.020582399368286132,
314
+ 0.020549631118774413,
315
+ 0.02044108772277832,
316
+ 0.02044825553894043,
317
+ 0.02042367935180664,
318
+ 0.020410367965698242,
319
+ 0.020567039489746093,
320
+ 0.020477951049804686,
321
+ 0.020411392211914063,
322
+ 0.020370431900024414,
323
+ 0.02039910316467285,
324
+ 0.02035916709899902,
325
+ 0.02051481628417969,
326
+ 0.02049955177307129,
327
+ 0.020391839981079102,
328
+ 0.02042265510559082,
329
+ 0.02046976089477539,
330
+ 0.02045337677001953,
331
+ 0.020392959594726562,
332
+ 0.020380672454833985,
333
+ 0.020534271240234374,
334
+ 0.02044108772277832,
335
+ 0.020487167358398437,
336
+ 0.019173376083374022,
337
+ 0.019165184020996092,
338
+ 0.019153919219970703,
339
+ 0.019384319305419923,
340
+ 0.01920102310180664,
341
+ 0.019165184020996092,
342
+ 0.01927475166320801,
343
+ 0.01921331214904785,
344
+ 0.019188735961914064,
345
+ 0.01944883155822754,
346
+ 0.01924710464477539,
347
+ 0.01925939178466797,
348
+ 0.01924198341369629,
349
+ 0.019314687728881837,
350
+ 0.01925324821472168,
351
+ 0.019396608352661132,
352
+ 0.019151872634887695,
353
+ 0.020371456146240235,
354
+ 0.020398080825805662,
355
+ 0.020346879959106445,
356
+ 0.02046566390991211,
357
+ 0.020246528625488282,
358
+ 0.020222976684570314,
359
+ 0.020321279525756835,
360
+ 0.02028441619873047,
361
+ 0.02025267219543457,
362
+ 0.020299776077270508,
363
+ 0.020197376251220703,
364
+ 0.0202608642578125,
365
+ 0.020321279525756835,
366
+ 0.020376575469970702,
367
+ 0.02026905632019043,
368
+ 0.020419584274291993,
369
+ 0.0202608642578125,
370
+ 0.02027622413635254,
371
+ 0.01925017547607422,
372
+ 0.019155967712402345,
373
+ 0.019779584884643556,
374
+ 0.02024448013305664,
375
+ 0.020230144500732423,
376
+ 0.020281343460083007,
377
+ 0.01946419143676758,
378
+ 0.020249599456787108,
379
+ 0.01924198341369629,
380
+ 0.020114431381225584,
381
+ 0.01990656089782715,
382
+ 0.020479999542236327,
383
+ 0.02028544044494629,
384
+ 0.02022809600830078,
385
+ 0.020287488937377928,
386
+ 0.020311040878295897,
387
+ 0.02024448013305664,
388
+ 0.01924095916748047,
389
+ 0.019172351837158205,
390
+ 0.019212287902832033,
391
+ 0.01924198341369629,
392
+ 0.019174400329589843,
393
+ 0.01944268798828125,
394
+ 0.01949388885498047,
395
+ 0.019331071853637697,
396
+ 0.01943552017211914,
397
+ 0.019300352096557616,
398
+ 0.019346431732177736,
399
+ 0.020231168746948244,
400
+ 0.020528127670288086,
401
+ 0.020892671585083008,
402
+ 0.020684799194335936,
403
+ 0.020750335693359375,
404
+ 0.020797439575195312,
405
+ 0.020512767791748047,
406
+ 0.020462591171264647,
407
+ 0.02041753578186035,
408
+ 0.020808704376220705,
409
+ 0.020107263565063475,
410
+ 0.020176895141601564,
411
+ 0.021357568740844726,
412
+ 0.02046463966369629,
413
+ 0.02037555122375488,
414
+ 0.020567039489746093,
415
+ 0.02067251205444336,
416
+ 0.020493312835693358,
417
+ 0.02043801689147949,
418
+ 0.020468736648559572,
419
+ 0.02046668815612793,
420
+ 0.01943142318725586,
421
+ 0.02039193534851074,
422
+ 0.02046463966369629,
423
+ 0.020426752090454102,
424
+ 0.02050048065185547,
425
+ 0.02046771240234375,
426
+ 0.02066739273071289,
427
+ 0.020541439056396483,
428
+ 0.02040934371948242,
429
+ 0.020506656646728516,
430
+ 0.020459487915039064,
431
+ 0.020578304290771485,
432
+ 0.02045747184753418,
433
+ 0.02043391990661621,
434
+ 0.02045337677001953,
435
+ 0.020567039489746093,
436
+ 0.020752384185791017,
437
+ 0.0204769287109375,
438
+ 0.020398080825805662,
439
+ 0.019412992477416992,
440
+ 0.019372032165527343,
441
+ 0.019393535614013673,
442
+ 0.020091903686523437,
443
+ 0.02041651153564453,
444
+ 0.02042367935180664,
445
+ 0.020489215850830078,
446
+ 0.01944883155822754,
447
+ 0.019794944763183595,
448
+ 0.020487167358398437,
449
+ 0.020494335174560546,
450
+ 0.02040012741088867,
451
+ 0.02039091110229492,
452
+ 0.020539392471313478,
453
+ 0.020644863128662108,
454
+ 0.020380672454833985,
455
+ 0.020685823440551757,
456
+ 0.02060492706298828,
457
+ 0.02048409652709961,
458
+ 0.01941196823120117,
459
+ 0.019504127502441407,
460
+ 0.019511295318603517,
461
+ 0.019314687728881837,
462
+ 0.020092927932739257
463
+ ]
464
+ },
465
+ "throughput": {
466
+ "unit": "tokens/s",
467
+ "value": 49.82394698925161
468
+ },
469
+ "energy": null,
470
+ "efficiency": null
471
+ }
472
+ }
473
+ }
2024-09-09/commit=66bc4def9505fa7c7fe4aa7a248c34a026bb552b/backend.cache_implementation=null,backend.model=google/gemma-2b,backend.torch_compile=False/benchmark.log ADDED
File without changes
2024-09-09/commit=66bc4def9505fa7c7fe4aa7a248c34a026bb552b/backend.cache_implementation=null,backend.model=google/gemma-2b,backend.torch_compile=False/benchmark_config.json ADDED
@@ -0,0 +1,104 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "name": "pytorch_generate",
3
+ "backend": {
4
+ "name": "pytorch",
5
+ "version": "2.4.0+cu121",
6
+ "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
7
+ "task": "text-generation",
8
+ "library": "transformers",
9
+ "model_type": "gemma",
10
+ "model": "google/gemma-2b",
11
+ "processor": "google/gemma-2b",
12
+ "device": "cuda",
13
+ "device_ids": "0",
14
+ "seed": 42,
15
+ "inter_op_num_threads": null,
16
+ "intra_op_num_threads": null,
17
+ "model_kwargs": {},
18
+ "processor_kwargs": {},
19
+ "no_weights": true,
20
+ "device_map": null,
21
+ "torch_dtype": "float16",
22
+ "eval_mode": true,
23
+ "to_bettertransformer": false,
24
+ "low_cpu_mem_usage": null,
25
+ "attn_implementation": null,
26
+ "cache_implementation": null,
27
+ "autocast_enabled": false,
28
+ "autocast_dtype": null,
29
+ "torch_compile": false,
30
+ "torch_compile_target": "forward",
31
+ "torch_compile_config": {
32
+ "backend": "inductor",
33
+ "mode": "reduce-overhead",
34
+ "fullgraph": true
35
+ },
36
+ "quantization_scheme": null,
37
+ "quantization_config": {},
38
+ "deepspeed_inference": false,
39
+ "deepspeed_inference_config": {},
40
+ "peft_type": null,
41
+ "peft_config": {}
42
+ },
43
+ "scenario": {
44
+ "name": "inference",
45
+ "_target_": "optimum_benchmark.scenarios.inference.scenario.InferenceScenario",
46
+ "iterations": 2,
47
+ "duration": 0,
48
+ "warmup_runs": 10,
49
+ "input_shapes": {
50
+ "batch_size": 1,
51
+ "num_choices": 2,
52
+ "sequence_length": 7
53
+ },
54
+ "new_tokens": null,
55
+ "memory": true,
56
+ "latency": true,
57
+ "energy": false,
58
+ "forward_kwargs": {},
59
+ "generate_kwargs": {
60
+ "max_new_tokens": 128,
61
+ "min_new_tokens": 128,
62
+ "do_sample": false
63
+ },
64
+ "call_kwargs": {}
65
+ },
66
+ "launcher": {
67
+ "name": "process",
68
+ "_target_": "optimum_benchmark.launchers.process.launcher.ProcessLauncher",
69
+ "device_isolation": true,
70
+ "device_isolation_action": "warn",
71
+ "numactl": false,
72
+ "numactl_kwargs": {},
73
+ "start_method": "spawn"
74
+ },
75
+ "environment": {
76
+ "cpu": " AMD EPYC 7R32",
77
+ "cpu_count": 16,
78
+ "cpu_ram_mb": 66697.261056,
79
+ "system": "Linux",
80
+ "machine": "x86_64",
81
+ "platform": "Linux-5.10.223-212.873.amzn2.x86_64-x86_64-with-glibc2.29",
82
+ "processor": "x86_64",
83
+ "python_version": "3.8.10",
84
+ "gpu": [
85
+ "NVIDIA A10G"
86
+ ],
87
+ "gpu_count": 1,
88
+ "gpu_vram_mb": 24146608128,
89
+ "optimum_benchmark_version": "0.4.0",
90
+ "optimum_benchmark_commit": null,
91
+ "transformers_version": "4.45.0.dev0",
92
+ "transformers_commit": "66bc4def9505fa7c7fe4aa7a248c34a026bb552b",
93
+ "accelerate_version": "0.35.0.dev0",
94
+ "accelerate_commit": null,
95
+ "diffusers_version": null,
96
+ "diffusers_commit": null,
97
+ "optimum_version": "1.22.0.dev0",
98
+ "optimum_commit": null,
99
+ "timm_version": "0.9.16",
100
+ "timm_commit": null,
101
+ "peft_version": "0.12.1.dev0",
102
+ "peft_commit": null
103
+ }
104
+ }
2024-09-09/commit=66bc4def9505fa7c7fe4aa7a248c34a026bb552b/backend.cache_implementation=null,backend.model=google/gemma-2b,backend.torch_compile=False/benchmark_report.json ADDED
@@ -0,0 +1,367 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "load": {
3
+ "memory": {
4
+ "unit": "MB",
5
+ "max_ram": 1336.111104,
6
+ "max_global_vram": 6775.373824,
7
+ "max_process_vram": 0.0,
8
+ "max_reserved": 6138.363904,
9
+ "max_allocated": 6060.931072
10
+ },
11
+ "latency": {
12
+ "unit": "s",
13
+ "count": 1,
14
+ "total": 11.5026650390625,
15
+ "mean": 11.5026650390625,
16
+ "stdev": 0.0,
17
+ "p50": 11.5026650390625,
18
+ "p90": 11.5026650390625,
19
+ "p95": 11.5026650390625,
20
+ "p99": 11.5026650390625,
21
+ "values": [
22
+ 11.5026650390625
23
+ ]
24
+ },
25
+ "throughput": null,
26
+ "energy": null,
27
+ "efficiency": null
28
+ },
29
+ "prefill": {
30
+ "memory": {
31
+ "unit": "MB",
32
+ "max_ram": 1781.06368,
33
+ "max_global_vram": 6796.345344,
34
+ "max_process_vram": 0.0,
35
+ "max_reserved": 6142.558208,
36
+ "max_allocated": 5028.431872
37
+ },
38
+ "latency": {
39
+ "unit": "s",
40
+ "count": 2,
41
+ "total": 0.04159145545959472,
42
+ "mean": 0.02079572772979736,
43
+ "stdev": 9.697628021240223e-05,
44
+ "p50": 0.02079572772979736,
45
+ "p90": 0.020873308753967285,
46
+ "p95": 0.020883006381988527,
47
+ "p99": 0.02089076448440552,
48
+ "values": [
49
+ 0.02069875144958496,
50
+ 0.020892704010009765
51
+ ]
52
+ },
53
+ "throughput": {
54
+ "unit": "tokens/s",
55
+ "value": 336.6075999336143
56
+ },
57
+ "energy": null,
58
+ "efficiency": null
59
+ },
60
+ "decode": {
61
+ "memory": {
62
+ "unit": "MB",
63
+ "max_ram": 1839.099904,
64
+ "max_global_vram": 6800.539648,
65
+ "max_process_vram": 0.0,
66
+ "max_reserved": 6146.752512,
67
+ "max_allocated": 5031.801344
68
+ },
69
+ "latency": {
70
+ "unit": "s",
71
+ "count": 2,
72
+ "total": 5.098266357421875,
73
+ "mean": 2.5491331787109375,
74
+ "stdev": 0.0021544189453126528,
75
+ "p50": 2.5491331787109375,
76
+ "p90": 2.5508567138671876,
77
+ "p95": 2.5510721557617186,
78
+ "p99": 2.551244509277344,
79
+ "values": [
80
+ 2.55128759765625,
81
+ 2.546978759765625
82
+ ]
83
+ },
84
+ "throughput": {
85
+ "unit": "tokens/s",
86
+ "value": 49.82085716848352
87
+ },
88
+ "energy": null,
89
+ "efficiency": null
90
+ },
91
+ "per_token": {
92
+ "memory": null,
93
+ "latency": {
94
+ "unit": "s",
95
+ "count": 254,
96
+ "total": 5.0979501895904535,
97
+ "mean": 0.020070670037757695,
98
+ "stdev": 0.0005546999471228763,
99
+ "p50": 0.020323840141296387,
100
+ "p90": 0.020567039489746093,
101
+ "p95": 0.020685157680511473,
102
+ "p99": 0.021063240242004393,
103
+ "values": [
104
+ 0.01923583984375,
105
+ 0.01922867202758789,
106
+ 0.019375104904174805,
107
+ 0.01923072052001953,
108
+ 0.01922150421142578,
109
+ 0.01925017547607422,
110
+ 0.019321855545043946,
111
+ 0.01922355270385742,
112
+ 0.0192174072265625,
113
+ 0.019549184799194336,
114
+ 0.019305471420288087,
115
+ 0.01921843147277832,
116
+ 0.019336191177368164,
117
+ 0.01923072052001953,
118
+ 0.01921331214904785,
119
+ 0.019183616638183593,
120
+ 0.01927475166320801,
121
+ 0.01942937660217285,
122
+ 0.019418111801147463,
123
+ 0.020405248641967775,
124
+ 0.021134336471557616,
125
+ 0.020541439056396483,
126
+ 0.020435968399047853,
127
+ 0.020471807479858398,
128
+ 0.02048307228088379,
129
+ 0.020382720947265624,
130
+ 0.020351999282836913,
131
+ 0.02046566390991211,
132
+ 0.020255775451660157,
133
+ 0.02028028869628906,
134
+ 0.020477951049804686,
135
+ 0.02031718444824219,
136
+ 0.02027724838256836,
137
+ 0.01963315200805664,
138
+ 0.020419584274291993,
139
+ 0.01941196823120117,
140
+ 0.01927577590942383,
141
+ 0.01923686408996582,
142
+ 0.020345855712890625,
143
+ 0.020462591171264647,
144
+ 0.02026905632019043,
145
+ 0.020341760635375978,
146
+ 0.02032640075683594,
147
+ 0.02026393508911133,
148
+ 0.020351999282836913,
149
+ 0.020331520080566406,
150
+ 0.020495359420776366,
151
+ 0.020368383407592772,
152
+ 0.020303871154785155,
153
+ 0.020370431900024414,
154
+ 0.02049126434326172,
155
+ 0.019281919479370118,
156
+ 0.01925324821472168,
157
+ 0.01922764778137207,
158
+ 0.019663871765136717,
159
+ 0.020282367706298828,
160
+ 0.020264959335327147,
161
+ 0.02045030403137207,
162
+ 0.020601856231689454,
163
+ 0.02044927978515625,
164
+ 0.02043801689147949,
165
+ 0.020528127670288086,
166
+ 0.019351551055908203,
167
+ 0.019499008178710937,
168
+ 0.019273759841918946,
169
+ 0.019324895858764648,
170
+ 0.019406848907470704,
171
+ 0.019571712493896484,
172
+ 0.020299776077270508,
173
+ 0.02043391990661621,
174
+ 0.0194652156829834,
175
+ 0.020460544586181642,
176
+ 0.02060697555541992,
177
+ 0.020462591171264647,
178
+ 0.02079641532897949,
179
+ 0.02057318305969238,
180
+ 0.020576255798339844,
181
+ 0.02046566390991211,
182
+ 0.01945088005065918,
183
+ 0.019513343811035155,
184
+ 0.01942323112487793,
185
+ 0.019405824661254883,
186
+ 0.020529151916503906,
187
+ 0.02050662422180176,
188
+ 0.02048307228088379,
189
+ 0.020486143112182616,
190
+ 0.01944063949584961,
191
+ 0.019501056671142578,
192
+ 0.019341312408447265,
193
+ 0.02002841567993164,
194
+ 0.02041651153564453,
195
+ 0.02047590446472168,
196
+ 0.02048102378845215,
197
+ 0.019893247604370116,
198
+ 0.020666368484497072,
199
+ 0.02050764846801758,
200
+ 0.02020249557495117,
201
+ 0.019389440536499023,
202
+ 0.019361791610717775,
203
+ 0.02088652801513672,
204
+ 0.020502527236938475,
205
+ 0.021000192642211913,
206
+ 0.02162073516845703,
207
+ 0.020730880737304686,
208
+ 0.020582399368286132,
209
+ 0.020549631118774413,
210
+ 0.02044108772277832,
211
+ 0.02044825553894043,
212
+ 0.02042367935180664,
213
+ 0.020410367965698242,
214
+ 0.020567039489746093,
215
+ 0.020477951049804686,
216
+ 0.020411392211914063,
217
+ 0.020370431900024414,
218
+ 0.02039910316467285,
219
+ 0.02035916709899902,
220
+ 0.02051481628417969,
221
+ 0.02049955177307129,
222
+ 0.020391839981079102,
223
+ 0.02042265510559082,
224
+ 0.02046976089477539,
225
+ 0.02045337677001953,
226
+ 0.020392959594726562,
227
+ 0.020380672454833985,
228
+ 0.020534271240234374,
229
+ 0.02044108772277832,
230
+ 0.020487167358398437,
231
+ 0.019173376083374022,
232
+ 0.019165184020996092,
233
+ 0.019153919219970703,
234
+ 0.019384319305419923,
235
+ 0.01920102310180664,
236
+ 0.019165184020996092,
237
+ 0.01927475166320801,
238
+ 0.01921331214904785,
239
+ 0.019188735961914064,
240
+ 0.01944883155822754,
241
+ 0.01924710464477539,
242
+ 0.01925939178466797,
243
+ 0.01924198341369629,
244
+ 0.019314687728881837,
245
+ 0.01925324821472168,
246
+ 0.019396608352661132,
247
+ 0.019151872634887695,
248
+ 0.020371456146240235,
249
+ 0.020398080825805662,
250
+ 0.020346879959106445,
251
+ 0.02046566390991211,
252
+ 0.020246528625488282,
253
+ 0.020222976684570314,
254
+ 0.020321279525756835,
255
+ 0.02028441619873047,
256
+ 0.02025267219543457,
257
+ 0.020299776077270508,
258
+ 0.020197376251220703,
259
+ 0.0202608642578125,
260
+ 0.020321279525756835,
261
+ 0.020376575469970702,
262
+ 0.02026905632019043,
263
+ 0.020419584274291993,
264
+ 0.0202608642578125,
265
+ 0.02027622413635254,
266
+ 0.01925017547607422,
267
+ 0.019155967712402345,
268
+ 0.019779584884643556,
269
+ 0.02024448013305664,
270
+ 0.020230144500732423,
271
+ 0.020281343460083007,
272
+ 0.01946419143676758,
273
+ 0.020249599456787108,
274
+ 0.01924198341369629,
275
+ 0.020114431381225584,
276
+ 0.01990656089782715,
277
+ 0.020479999542236327,
278
+ 0.02028544044494629,
279
+ 0.02022809600830078,
280
+ 0.020287488937377928,
281
+ 0.020311040878295897,
282
+ 0.02024448013305664,
283
+ 0.01924095916748047,
284
+ 0.019172351837158205,
285
+ 0.019212287902832033,
286
+ 0.01924198341369629,
287
+ 0.019174400329589843,
288
+ 0.01944268798828125,
289
+ 0.01949388885498047,
290
+ 0.019331071853637697,
291
+ 0.01943552017211914,
292
+ 0.019300352096557616,
293
+ 0.019346431732177736,
294
+ 0.020231168746948244,
295
+ 0.020528127670288086,
296
+ 0.020892671585083008,
297
+ 0.020684799194335936,
298
+ 0.020750335693359375,
299
+ 0.020797439575195312,
300
+ 0.020512767791748047,
301
+ 0.020462591171264647,
302
+ 0.02041753578186035,
303
+ 0.020808704376220705,
304
+ 0.020107263565063475,
305
+ 0.020176895141601564,
306
+ 0.021357568740844726,
307
+ 0.02046463966369629,
308
+ 0.02037555122375488,
309
+ 0.020567039489746093,
310
+ 0.02067251205444336,
311
+ 0.020493312835693358,
312
+ 0.02043801689147949,
313
+ 0.020468736648559572,
314
+ 0.02046668815612793,
315
+ 0.01943142318725586,
316
+ 0.02039193534851074,
317
+ 0.02046463966369629,
318
+ 0.020426752090454102,
319
+ 0.02050048065185547,
320
+ 0.02046771240234375,
321
+ 0.02066739273071289,
322
+ 0.020541439056396483,
323
+ 0.02040934371948242,
324
+ 0.020506656646728516,
325
+ 0.020459487915039064,
326
+ 0.020578304290771485,
327
+ 0.02045747184753418,
328
+ 0.02043391990661621,
329
+ 0.02045337677001953,
330
+ 0.020567039489746093,
331
+ 0.020752384185791017,
332
+ 0.0204769287109375,
333
+ 0.020398080825805662,
334
+ 0.019412992477416992,
335
+ 0.019372032165527343,
336
+ 0.019393535614013673,
337
+ 0.020091903686523437,
338
+ 0.02041651153564453,
339
+ 0.02042367935180664,
340
+ 0.020489215850830078,
341
+ 0.01944883155822754,
342
+ 0.019794944763183595,
343
+ 0.020487167358398437,
344
+ 0.020494335174560546,
345
+ 0.02040012741088867,
346
+ 0.02039091110229492,
347
+ 0.020539392471313478,
348
+ 0.020644863128662108,
349
+ 0.020380672454833985,
350
+ 0.020685823440551757,
351
+ 0.02060492706298828,
352
+ 0.02048409652709961,
353
+ 0.01941196823120117,
354
+ 0.019504127502441407,
355
+ 0.019511295318603517,
356
+ 0.019314687728881837,
357
+ 0.020092927932739257
358
+ ]
359
+ },
360
+ "throughput": {
361
+ "unit": "tokens/s",
362
+ "value": 49.82394698925161
363
+ },
364
+ "energy": null,
365
+ "efficiency": null
366
+ }
367
+ }
2024-09-09/commit=66bc4def9505fa7c7fe4aa7a248c34a026bb552b/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": "66bc4def9505fa7c7fe4aa7a248c34a026bb552b",
4
+ "config": "backend.cache_implementation=null,backend.torch_compile=False",
5
+ "metrics": {
6
+ "prefill.latency.mean": 0.02079572772979736,
7
+ "prefill.throughput.value": 336.6075999336143,
8
+ "decode.latency.mean": 2.5491331787109375,
9
+ "decode.throughput.value": 49.82085716848352,
10
+ "per_token.latency.mean": 0.020070670037757695,
11
+ "per_token.throughput.value": 49.82394698925161
12
+ }
13
+ }
2024-09-09/commit=66bc4def9505fa7c7fe4aa7a248c34a026bb552b/backend.cache_implementation=null,backend.model=google/gemma-2b,backend.torch_compile=True/.hydra/config.yaml ADDED
@@ -0,0 +1,93 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ name: pytorch_generate
2
+ backend:
3
+ name: pytorch
4
+ version: 2.4.0+cu121
5
+ _target_: optimum_benchmark.backends.pytorch.backend.PyTorchBackend
6
+ task: null
7
+ library: null
8
+ model_type: null
9
+ model: google/gemma-2b
10
+ processor: null
11
+ device: cuda
12
+ device_ids: '0'
13
+ seed: 42
14
+ inter_op_num_threads: null
15
+ intra_op_num_threads: null
16
+ model_kwargs: {}
17
+ processor_kwargs: {}
18
+ no_weights: true
19
+ device_map: null
20
+ torch_dtype: float16
21
+ eval_mode: true
22
+ to_bettertransformer: false
23
+ low_cpu_mem_usage: null
24
+ attn_implementation: null
25
+ cache_implementation: null
26
+ autocast_enabled: false
27
+ autocast_dtype: null
28
+ torch_compile: true
29
+ torch_compile_target: forward
30
+ torch_compile_config:
31
+ backend: inductor
32
+ mode: reduce-overhead
33
+ fullgraph: true
34
+ quantization_scheme: null
35
+ quantization_config: {}
36
+ deepspeed_inference: false
37
+ deepspeed_inference_config: {}
38
+ peft_type: null
39
+ peft_config: {}
40
+ scenario:
41
+ name: inference
42
+ _target_: optimum_benchmark.scenarios.inference.scenario.InferenceScenario
43
+ iterations: 2
44
+ duration: 0
45
+ warmup_runs: 10
46
+ input_shapes:
47
+ batch_size: 1
48
+ sequence_length: 7
49
+ new_tokens: null
50
+ memory: true
51
+ latency: true
52
+ energy: false
53
+ forward_kwargs: {}
54
+ generate_kwargs:
55
+ max_new_tokens: 128
56
+ min_new_tokens: 128
57
+ do_sample: false
58
+ call_kwargs: {}
59
+ launcher:
60
+ name: process
61
+ _target_: optimum_benchmark.launchers.process.launcher.ProcessLauncher
62
+ device_isolation: true
63
+ device_isolation_action: warn
64
+ numactl: false
65
+ numactl_kwargs: {}
66
+ start_method: spawn
67
+ environment:
68
+ cpu: ' AMD EPYC 7R32'
69
+ cpu_count: 16
70
+ cpu_ram_mb: 66697.261056
71
+ system: Linux
72
+ machine: x86_64
73
+ platform: Linux-5.10.223-212.873.amzn2.x86_64-x86_64-with-glibc2.29
74
+ processor: x86_64
75
+ python_version: 3.8.10
76
+ gpu:
77
+ - NVIDIA A10G
78
+ gpu_count: 1
79
+ gpu_vram_mb: 24146608128
80
+ optimum_benchmark_version: 0.4.0
81
+ optimum_benchmark_commit: null
82
+ transformers_version: 4.45.0.dev0
83
+ transformers_commit: 66bc4def9505fa7c7fe4aa7a248c34a026bb552b
84
+ accelerate_version: 0.35.0.dev0
85
+ accelerate_commit: null
86
+ diffusers_version: null
87
+ diffusers_commit: null
88
+ optimum_version: 1.22.0.dev0
89
+ optimum_commit: null
90
+ timm_version: 0.9.16
91
+ timm_commit: null
92
+ peft_version: 0.12.1.dev0
93
+ peft_commit: null
2024-09-09/commit=66bc4def9505fa7c7fe4aa7a248c34a026bb552b/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/tmp9ylowwqc/commit=66bc4def9505fa7c7fe4aa7a248c34a026bb552b/${hydra.job.override_dirname}
4
+ sweep:
5
+ dir: _benchmark/tmp9ylowwqc/commit=66bc4def9505fa7c7fe4aa7a248c34a026bb552b
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
+ $HYDRA_CONFIG_GROUPS
62
+
63
+
64
+ Use ''--cfg hydra'' to Show the Hydra config.
65
+
66
+ '
67
+ hydra_help: ???
68
+ hydra_logging:
69
+ version: 1
70
+ root:
71
+ level: ERROR
72
+ disable_existing_loggers: true
73
+ job_logging:
74
+ version: 1
75
+ root:
76
+ level: ERROR
77
+ disable_existing_loggers: true
78
+ env: {}
79
+ mode: MULTIRUN
80
+ searchpath: []
81
+ callbacks: {}
82
+ output_subdir: .hydra
83
+ overrides:
84
+ hydra:
85
+ - hydra/job_logging=disabled
86
+ - hydra/hydra_logging=disabled
87
+ - hydra.sweep.dir=_benchmark/tmp9ylowwqc/commit\=66bc4def9505fa7c7fe4aa7a248c34a026bb552b
88
+ - hydra.run.dir=_benchmark/tmp9ylowwqc/commit\=66bc4def9505fa7c7fe4aa7a248c34a026bb552b/${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/tmp9ylowwqc/commit=66bc4def9505fa7c7fe4aa7a248c34a026bb552b/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
2024-09-09/commit=66bc4def9505fa7c7fe4aa7a248c34a026bb552b/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
2024-09-09/commit=66bc4def9505fa7c7fe4aa7a248c34a026bb552b/backend.cache_implementation=null,backend.model=google/gemma-2b,backend.torch_compile=True/benchmark.log ADDED
@@ -0,0 +1,2 @@
 
 
 
1
+ [ISOLATED-PROCESS][2024-09-09 02:45:19,927][process][ERROR] - + Sending traceback to main process
2
+ [MAIN-PROCESS][2024-09-09 02:45:22,337][process][ERROR] - + Received traceback from isolated process
2024-09-09/commit=66bc4def9505fa7c7fe4aa7a248c34a026bb552b/backend.cache_implementation=null,backend.model=google/gemma-2b,backend.torch_compile=True/benchmark_config.json ADDED
@@ -0,0 +1,104 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "name": "pytorch_generate",
3
+ "backend": {
4
+ "name": "pytorch",
5
+ "version": "2.4.0+cu121",
6
+ "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
7
+ "task": "text-generation",
8
+ "library": "transformers",
9
+ "model_type": "gemma",
10
+ "model": "google/gemma-2b",
11
+ "processor": "google/gemma-2b",
12
+ "device": "cuda",
13
+ "device_ids": "0",
14
+ "seed": 42,
15
+ "inter_op_num_threads": null,
16
+ "intra_op_num_threads": null,
17
+ "model_kwargs": {},
18
+ "processor_kwargs": {},
19
+ "no_weights": true,
20
+ "device_map": null,
21
+ "torch_dtype": "float16",
22
+ "eval_mode": true,
23
+ "to_bettertransformer": false,
24
+ "low_cpu_mem_usage": null,
25
+ "attn_implementation": null,
26
+ "cache_implementation": null,
27
+ "autocast_enabled": false,
28
+ "autocast_dtype": null,
29
+ "torch_compile": true,
30
+ "torch_compile_target": "forward",
31
+ "torch_compile_config": {
32
+ "backend": "inductor",
33
+ "mode": "reduce-overhead",
34
+ "fullgraph": true
35
+ },
36
+ "quantization_scheme": null,
37
+ "quantization_config": {},
38
+ "deepspeed_inference": false,
39
+ "deepspeed_inference_config": {},
40
+ "peft_type": null,
41
+ "peft_config": {}
42
+ },
43
+ "scenario": {
44
+ "name": "inference",
45
+ "_target_": "optimum_benchmark.scenarios.inference.scenario.InferenceScenario",
46
+ "iterations": 2,
47
+ "duration": 0,
48
+ "warmup_runs": 10,
49
+ "input_shapes": {
50
+ "batch_size": 1,
51
+ "num_choices": 2,
52
+ "sequence_length": 7
53
+ },
54
+ "new_tokens": null,
55
+ "memory": true,
56
+ "latency": true,
57
+ "energy": false,
58
+ "forward_kwargs": {},
59
+ "generate_kwargs": {
60
+ "max_new_tokens": 128,
61
+ "min_new_tokens": 128,
62
+ "do_sample": false
63
+ },
64
+ "call_kwargs": {}
65
+ },
66
+ "launcher": {
67
+ "name": "process",
68
+ "_target_": "optimum_benchmark.launchers.process.launcher.ProcessLauncher",
69
+ "device_isolation": true,
70
+ "device_isolation_action": "warn",
71
+ "numactl": false,
72
+ "numactl_kwargs": {},
73
+ "start_method": "spawn"
74
+ },
75
+ "environment": {
76
+ "cpu": " AMD EPYC 7R32",
77
+ "cpu_count": 16,
78
+ "cpu_ram_mb": 66697.261056,
79
+ "system": "Linux",
80
+ "machine": "x86_64",
81
+ "platform": "Linux-5.10.223-212.873.amzn2.x86_64-x86_64-with-glibc2.29",
82
+ "processor": "x86_64",
83
+ "python_version": "3.8.10",
84
+ "gpu": [
85
+ "NVIDIA A10G"
86
+ ],
87
+ "gpu_count": 1,
88
+ "gpu_vram_mb": 24146608128,
89
+ "optimum_benchmark_version": "0.4.0",
90
+ "optimum_benchmark_commit": null,
91
+ "transformers_version": "4.45.0.dev0",
92
+ "transformers_commit": "66bc4def9505fa7c7fe4aa7a248c34a026bb552b",
93
+ "accelerate_version": "0.35.0.dev0",
94
+ "accelerate_commit": null,
95
+ "diffusers_version": null,
96
+ "diffusers_commit": null,
97
+ "optimum_version": "1.22.0.dev0",
98
+ "optimum_commit": null,
99
+ "timm_version": "0.9.16",
100
+ "timm_commit": null,
101
+ "peft_version": "0.12.1.dev0",
102
+ "peft_commit": null
103
+ }
104
+ }
2024-09-09/commit=66bc4def9505fa7c7fe4aa7a248c34a026bb552b/backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=False/.hydra/config.yaml ADDED
@@ -0,0 +1,93 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ name: pytorch_generate
2
+ backend:
3
+ name: pytorch
4
+ version: 2.4.0+cu121
5
+ _target_: optimum_benchmark.backends.pytorch.backend.PyTorchBackend
6
+ task: null
7
+ library: null
8
+ model_type: null
9
+ model: google/gemma-2b
10
+ processor: null
11
+ device: cuda
12
+ device_ids: '0'
13
+ seed: 42
14
+ inter_op_num_threads: null
15
+ intra_op_num_threads: null
16
+ model_kwargs: {}
17
+ processor_kwargs: {}
18
+ no_weights: true
19
+ device_map: null
20
+ torch_dtype: float16
21
+ eval_mode: true
22
+ to_bettertransformer: false
23
+ low_cpu_mem_usage: null
24
+ attn_implementation: null
25
+ cache_implementation: static
26
+ autocast_enabled: false
27
+ autocast_dtype: null
28
+ torch_compile: false
29
+ torch_compile_target: forward
30
+ torch_compile_config:
31
+ backend: inductor
32
+ mode: reduce-overhead
33
+ fullgraph: true
34
+ quantization_scheme: null
35
+ quantization_config: {}
36
+ deepspeed_inference: false
37
+ deepspeed_inference_config: {}
38
+ peft_type: null
39
+ peft_config: {}
40
+ scenario:
41
+ name: inference
42
+ _target_: optimum_benchmark.scenarios.inference.scenario.InferenceScenario
43
+ iterations: 2
44
+ duration: 0
45
+ warmup_runs: 10
46
+ input_shapes:
47
+ batch_size: 1
48
+ sequence_length: 7
49
+ new_tokens: null
50
+ memory: true
51
+ latency: true
52
+ energy: false
53
+ forward_kwargs: {}
54
+ generate_kwargs:
55
+ max_new_tokens: 128
56
+ min_new_tokens: 128
57
+ do_sample: false
58
+ call_kwargs: {}
59
+ launcher:
60
+ name: process
61
+ _target_: optimum_benchmark.launchers.process.launcher.ProcessLauncher
62
+ device_isolation: true
63
+ device_isolation_action: warn
64
+ numactl: false
65
+ numactl_kwargs: {}
66
+ start_method: spawn
67
+ environment:
68
+ cpu: ' AMD EPYC 7R32'
69
+ cpu_count: 16
70
+ cpu_ram_mb: 66697.261056
71
+ system: Linux
72
+ machine: x86_64
73
+ platform: Linux-5.10.223-212.873.amzn2.x86_64-x86_64-with-glibc2.29
74
+ processor: x86_64
75
+ python_version: 3.8.10
76
+ gpu:
77
+ - NVIDIA A10G
78
+ gpu_count: 1
79
+ gpu_vram_mb: 24146608128
80
+ optimum_benchmark_version: 0.4.0
81
+ optimum_benchmark_commit: null
82
+ transformers_version: 4.45.0.dev0
83
+ transformers_commit: 66bc4def9505fa7c7fe4aa7a248c34a026bb552b
84
+ accelerate_version: 0.35.0.dev0
85
+ accelerate_commit: null
86
+ diffusers_version: null
87
+ diffusers_commit: null
88
+ optimum_version: 1.22.0.dev0
89
+ optimum_commit: null
90
+ timm_version: 0.9.16
91
+ timm_commit: null
92
+ peft_version: 0.12.1.dev0
93
+ peft_commit: null
2024-09-09/commit=66bc4def9505fa7c7fe4aa7a248c34a026bb552b/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/tmp9ylowwqc/commit=66bc4def9505fa7c7fe4aa7a248c34a026bb552b/${hydra.job.override_dirname}
4
+ sweep:
5
+ dir: _benchmark/tmp9ylowwqc/commit=66bc4def9505fa7c7fe4aa7a248c34a026bb552b
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
+ $HYDRA_CONFIG_GROUPS
62
+
63
+
64
+ Use ''--cfg hydra'' to Show the Hydra config.
65
+
66
+ '
67
+ hydra_help: ???
68
+ hydra_logging:
69
+ version: 1
70
+ root:
71
+ level: ERROR
72
+ disable_existing_loggers: true
73
+ job_logging:
74
+ version: 1
75
+ root:
76
+ level: ERROR
77
+ disable_existing_loggers: true
78
+ env: {}
79
+ mode: MULTIRUN
80
+ searchpath: []
81
+ callbacks: {}
82
+ output_subdir: .hydra
83
+ overrides:
84
+ hydra:
85
+ - hydra/job_logging=disabled
86
+ - hydra/hydra_logging=disabled
87
+ - hydra.sweep.dir=_benchmark/tmp9ylowwqc/commit\=66bc4def9505fa7c7fe4aa7a248c34a026bb552b
88
+ - hydra.run.dir=_benchmark/tmp9ylowwqc/commit\=66bc4def9505fa7c7fe4aa7a248c34a026bb552b/${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/tmp9ylowwqc/commit=66bc4def9505fa7c7fe4aa7a248c34a026bb552b/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
2024-09-09/commit=66bc4def9505fa7c7fe4aa7a248c34a026bb552b/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
2024-09-09/commit=66bc4def9505fa7c7fe4aa7a248c34a026bb552b/backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=False/benchmark.json ADDED
@@ -0,0 +1,473 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "config": {
3
+ "name": "pytorch_generate",
4
+ "backend": {
5
+ "name": "pytorch",
6
+ "version": "2.4.0+cu121",
7
+ "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
8
+ "task": "text-generation",
9
+ "library": "transformers",
10
+ "model_type": "gemma",
11
+ "model": "google/gemma-2b",
12
+ "processor": "google/gemma-2b",
13
+ "device": "cuda",
14
+ "device_ids": "0",
15
+ "seed": 42,
16
+ "inter_op_num_threads": null,
17
+ "intra_op_num_threads": null,
18
+ "model_kwargs": {},
19
+ "processor_kwargs": {},
20
+ "no_weights": true,
21
+ "device_map": null,
22
+ "torch_dtype": "float16",
23
+ "eval_mode": true,
24
+ "to_bettertransformer": false,
25
+ "low_cpu_mem_usage": null,
26
+ "attn_implementation": null,
27
+ "cache_implementation": "static",
28
+ "autocast_enabled": false,
29
+ "autocast_dtype": null,
30
+ "torch_compile": false,
31
+ "torch_compile_target": "forward",
32
+ "torch_compile_config": {
33
+ "backend": "inductor",
34
+ "mode": "reduce-overhead",
35
+ "fullgraph": true
36
+ },
37
+ "quantization_scheme": null,
38
+ "quantization_config": {},
39
+ "deepspeed_inference": false,
40
+ "deepspeed_inference_config": {},
41
+ "peft_type": null,
42
+ "peft_config": {}
43
+ },
44
+ "scenario": {
45
+ "name": "inference",
46
+ "_target_": "optimum_benchmark.scenarios.inference.scenario.InferenceScenario",
47
+ "iterations": 2,
48
+ "duration": 0,
49
+ "warmup_runs": 10,
50
+ "input_shapes": {
51
+ "batch_size": 1,
52
+ "num_choices": 2,
53
+ "sequence_length": 7
54
+ },
55
+ "new_tokens": null,
56
+ "memory": true,
57
+ "latency": true,
58
+ "energy": false,
59
+ "forward_kwargs": {},
60
+ "generate_kwargs": {
61
+ "max_new_tokens": 128,
62
+ "min_new_tokens": 128,
63
+ "do_sample": false
64
+ },
65
+ "call_kwargs": {}
66
+ },
67
+ "launcher": {
68
+ "name": "process",
69
+ "_target_": "optimum_benchmark.launchers.process.launcher.ProcessLauncher",
70
+ "device_isolation": true,
71
+ "device_isolation_action": "warn",
72
+ "numactl": false,
73
+ "numactl_kwargs": {},
74
+ "start_method": "spawn"
75
+ },
76
+ "environment": {
77
+ "cpu": " AMD EPYC 7R32",
78
+ "cpu_count": 16,
79
+ "cpu_ram_mb": 66697.261056,
80
+ "system": "Linux",
81
+ "machine": "x86_64",
82
+ "platform": "Linux-5.10.223-212.873.amzn2.x86_64-x86_64-with-glibc2.29",
83
+ "processor": "x86_64",
84
+ "python_version": "3.8.10",
85
+ "gpu": [
86
+ "NVIDIA A10G"
87
+ ],
88
+ "gpu_count": 1,
89
+ "gpu_vram_mb": 24146608128,
90
+ "optimum_benchmark_version": "0.4.0",
91
+ "optimum_benchmark_commit": null,
92
+ "transformers_version": "4.45.0.dev0",
93
+ "transformers_commit": "66bc4def9505fa7c7fe4aa7a248c34a026bb552b",
94
+ "accelerate_version": "0.35.0.dev0",
95
+ "accelerate_commit": null,
96
+ "diffusers_version": null,
97
+ "diffusers_commit": null,
98
+ "optimum_version": "1.22.0.dev0",
99
+ "optimum_commit": null,
100
+ "timm_version": "0.9.16",
101
+ "timm_commit": null,
102
+ "peft_version": "0.12.1.dev0",
103
+ "peft_commit": null
104
+ }
105
+ },
106
+ "report": {
107
+ "load": {
108
+ "memory": {
109
+ "unit": "MB",
110
+ "max_ram": 1335.853056,
111
+ "max_global_vram": 6775.373824,
112
+ "max_process_vram": 0.0,
113
+ "max_reserved": 6138.363904,
114
+ "max_allocated": 6060.931072
115
+ },
116
+ "latency": {
117
+ "unit": "s",
118
+ "count": 1,
119
+ "total": 11.5549052734375,
120
+ "mean": 11.5549052734375,
121
+ "stdev": 0.0,
122
+ "p50": 11.5549052734375,
123
+ "p90": 11.5549052734375,
124
+ "p95": 11.5549052734375,
125
+ "p99": 11.5549052734375,
126
+ "values": [
127
+ 11.5549052734375
128
+ ]
129
+ },
130
+ "throughput": null,
131
+ "energy": null,
132
+ "efficiency": null
133
+ },
134
+ "prefill": {
135
+ "memory": {
136
+ "unit": "MB",
137
+ "max_ram": 1815.908352,
138
+ "max_global_vram": 6796.345344,
139
+ "max_process_vram": 0.0,
140
+ "max_reserved": 6142.558208,
141
+ "max_allocated": 5028.450816
142
+ },
143
+ "latency": {
144
+ "unit": "s",
145
+ "count": 2,
146
+ "total": 0.04465740776062012,
147
+ "mean": 0.02232870388031006,
148
+ "stdev": 4.7072410583496455e-05,
149
+ "p50": 0.02232870388031006,
150
+ "p90": 0.022366361808776856,
151
+ "p95": 0.022371069049835206,
152
+ "p99": 0.022374834842681886,
153
+ "values": [
154
+ 0.022281631469726563,
155
+ 0.022375776290893556
156
+ ]
157
+ },
158
+ "throughput": {
159
+ "unit": "tokens/s",
160
+ "value": 313.4978204522097
161
+ },
162
+ "energy": null,
163
+ "efficiency": null
164
+ },
165
+ "decode": {
166
+ "memory": {
167
+ "unit": "MB",
168
+ "max_ram": 1842.540544,
169
+ "max_global_vram": 6800.539648,
170
+ "max_process_vram": 0.0,
171
+ "max_reserved": 6146.752512,
172
+ "max_allocated": 5031.820288
173
+ },
174
+ "latency": {
175
+ "unit": "s",
176
+ "count": 2,
177
+ "total": 5.27243017578125,
178
+ "mean": 2.636215087890625,
179
+ "stdev": 0.004873291015624837,
180
+ "p50": 2.636215087890625,
181
+ "p90": 2.6401137207031247,
182
+ "p95": 2.6406010498046872,
183
+ "p99": 2.6409909130859375,
184
+ "values": [
185
+ 2.631341796875,
186
+ 2.64108837890625
187
+ ]
188
+ },
189
+ "throughput": {
190
+ "unit": "tokens/s",
191
+ "value": 48.175128267557035
192
+ },
193
+ "energy": null,
194
+ "efficiency": null
195
+ },
196
+ "per_token": {
197
+ "memory": null,
198
+ "latency": {
199
+ "unit": "s",
200
+ "count": 254,
201
+ "total": 5.272176639556889,
202
+ "mean": 0.020756600943137343,
203
+ "stdev": 0.0003286462326815648,
204
+ "p50": 0.020604415893554686,
205
+ "p90": 0.021191167449951174,
206
+ "p95": 0.0212695556640625,
207
+ "p99": 0.021576816596984863,
208
+ "values": [
209
+ 0.020455423355102538,
210
+ 0.020501504898071288,
211
+ 0.020504575729370117,
212
+ 0.020818944931030273,
213
+ 0.020566015243530272,
214
+ 0.020714496612548827,
215
+ 0.021146623611450196,
216
+ 0.020980735778808594,
217
+ 0.020758527755737305,
218
+ 0.020403200149536133,
219
+ 0.020913152694702147,
220
+ 0.02104217529296875,
221
+ 0.021230592727661132,
222
+ 0.02109337615966797,
223
+ 0.020504575729370117,
224
+ 0.020649984359741212,
225
+ 0.020347904205322266,
226
+ 0.021638143539428712,
227
+ 0.020568063735961914,
228
+ 0.020503551483154296,
229
+ 0.02122035217285156,
230
+ 0.020998144149780275,
231
+ 0.020823040008544923,
232
+ 0.02049126434326172,
233
+ 0.0204902400970459,
234
+ 0.02109132766723633,
235
+ 0.021209087371826172,
236
+ 0.02048204803466797,
237
+ 0.020555776596069338,
238
+ 0.020548639297485353,
239
+ 0.0204564151763916,
240
+ 0.02043187141418457,
241
+ 0.02049843215942383,
242
+ 0.020509695053100584,
243
+ 0.02068377685546875,
244
+ 0.020497407913208008,
245
+ 0.02046976089477539,
246
+ 0.02048307228088379,
247
+ 0.02045952033996582,
248
+ 0.020756479263305663,
249
+ 0.0210513916015625,
250
+ 0.020501504898071288,
251
+ 0.020485120773315428,
252
+ 0.02025574493408203,
253
+ 0.020546560287475587,
254
+ 0.020682752609252928,
255
+ 0.021238784790039062,
256
+ 0.020538368225097657,
257
+ 0.020516864776611327,
258
+ 0.020412416458129884,
259
+ 0.020497407913208008,
260
+ 0.020447231292724608,
261
+ 0.020470783233642577,
262
+ 0.02045337677001953,
263
+ 0.020552703857421875,
264
+ 0.020542463302612304,
265
+ 0.02049945640563965,
266
+ 0.020477951049804686,
267
+ 0.020444160461425782,
268
+ 0.02045337677001953,
269
+ 0.02047488021850586,
270
+ 0.020518911361694335,
271
+ 0.020462591171264647,
272
+ 0.02045644760131836,
273
+ 0.02044313621520996,
274
+ 0.020496383666992187,
275
+ 0.020586496353149415,
276
+ 0.020479999542236327,
277
+ 0.020454399108886717,
278
+ 0.02045952033996582,
279
+ 0.020530176162719727,
280
+ 0.020753408432006838,
281
+ 0.021046272277832033,
282
+ 0.02057318305969238,
283
+ 0.020509695053100584,
284
+ 0.020454399108886717,
285
+ 0.020477951049804686,
286
+ 0.0206561279296875,
287
+ 0.02191974449157715,
288
+ 0.02123776054382324,
289
+ 0.021226495742797852,
290
+ 0.020554752349853517,
291
+ 0.020512767791748047,
292
+ 0.020509695053100584,
293
+ 0.020497407913208008,
294
+ 0.02066022491455078,
295
+ 0.02086297607421875,
296
+ 0.02084966468811035,
297
+ 0.020769792556762694,
298
+ 0.020612096786499022,
299
+ 0.02050048065185547,
300
+ 0.022544384002685547,
301
+ 0.02130534362792969,
302
+ 0.02128486442565918,
303
+ 0.02129715156555176,
304
+ 0.02109132766723633,
305
+ 0.020487167358398437,
306
+ 0.020790271759033203,
307
+ 0.020726783752441406,
308
+ 0.020520959854125977,
309
+ 0.02130227279663086,
310
+ 0.02107494354248047,
311
+ 0.02106879997253418,
312
+ 0.021160959243774414,
313
+ 0.021374975204467773,
314
+ 0.02103091239929199,
315
+ 0.020702207565307617,
316
+ 0.021172224044799806,
317
+ 0.020479999542236327,
318
+ 0.02045952033996582,
319
+ 0.020470783233642577,
320
+ 0.02107596778869629,
321
+ 0.02064896011352539,
322
+ 0.0204902400970459,
323
+ 0.02065715217590332,
324
+ 0.02047385597229004,
325
+ 0.020505599975585938,
326
+ 0.020625408172607423,
327
+ 0.02110361671447754,
328
+ 0.020706304550170897,
329
+ 0.020571136474609376,
330
+ 0.02081996726989746,
331
+ 0.020883455276489257,
332
+ 0.020477951049804686,
333
+ 0.020832256317138673,
334
+ 0.020441120147705077,
335
+ 0.020441055297851562,
336
+ 0.021038080215454103,
337
+ 0.020426752090454102,
338
+ 0.020387840270996094,
339
+ 0.020996095657348633,
340
+ 0.02102272033691406,
341
+ 0.021006336212158205,
342
+ 0.020972543716430665,
343
+ 0.021003263473510742,
344
+ 0.02103910446166992,
345
+ 0.021121023178100586,
346
+ 0.02045132827758789,
347
+ 0.02044108772277832,
348
+ 0.0204902400970459,
349
+ 0.020715520858764647,
350
+ 0.021384191513061524,
351
+ 0.02060492706298828,
352
+ 0.02104832077026367,
353
+ 0.021013504028320314,
354
+ 0.020603904724121092,
355
+ 0.020531200408935548,
356
+ 0.02046976089477539,
357
+ 0.02048409652709961,
358
+ 0.020587520599365236,
359
+ 0.0212992000579834,
360
+ 0.02110361671447754,
361
+ 0.020979711532592774,
362
+ 0.021161983489990235,
363
+ 0.021028863906860353,
364
+ 0.020999168395996092,
365
+ 0.020963327407836914,
366
+ 0.020505599975585938,
367
+ 0.020582399368286132,
368
+ 0.02051481628417969,
369
+ 0.020497407913208008,
370
+ 0.02050662422180176,
371
+ 0.0204421443939209,
372
+ 0.020803552627563476,
373
+ 0.02047283172607422,
374
+ 0.020625408172607423,
375
+ 0.02046156883239746,
376
+ 0.020463615417480468,
377
+ 0.020520959854125977,
378
+ 0.020525056838989256,
379
+ 0.021206016540527343,
380
+ 0.020724735260009765,
381
+ 0.020535295486450195,
382
+ 0.020551679611206054,
383
+ 0.020471807479858398,
384
+ 0.02068172836303711,
385
+ 0.020447231292724608,
386
+ 0.021012479782104493,
387
+ 0.020976640701293944,
388
+ 0.020468736648559572,
389
+ 0.020715520858764647,
390
+ 0.02045747184753418,
391
+ 0.02103398323059082,
392
+ 0.021133312225341795,
393
+ 0.0210882568359375,
394
+ 0.021227519989013673,
395
+ 0.020669504165649413,
396
+ 0.020489152908325196,
397
+ 0.020496383666992187,
398
+ 0.02125209617614746,
399
+ 0.02102783966064453,
400
+ 0.021242879867553712,
401
+ 0.021021696090698243,
402
+ 0.020549631118774413,
403
+ 0.020504575729370117,
404
+ 0.020997119903564454,
405
+ 0.020471807479858398,
406
+ 0.0210513916015625,
407
+ 0.021167104721069335,
408
+ 0.020485120773315428,
409
+ 0.020502527236938475,
410
+ 0.020454399108886717,
411
+ 0.02048102378845215,
412
+ 0.02045849609375,
413
+ 0.02109337615966797,
414
+ 0.02106060791015625,
415
+ 0.02101759910583496,
416
+ 0.02102374458312988,
417
+ 0.020288511276245116,
418
+ 0.020570112228393556,
419
+ 0.020788223266601562,
420
+ 0.020486143112182616,
421
+ 0.020463615417480468,
422
+ 0.020463615417480468,
423
+ 0.020593664169311524,
424
+ 0.02049126434326172,
425
+ 0.020478975296020507,
426
+ 0.021117952346801756,
427
+ 0.02105241584777832,
428
+ 0.02128691291809082,
429
+ 0.021522432327270507,
430
+ 0.02126131248474121,
431
+ 0.021045248031616212,
432
+ 0.020929536819458007,
433
+ 0.021187583923339845,
434
+ 0.02044927978515625,
435
+ 0.020477951049804686,
436
+ 0.02047385597229004,
437
+ 0.020434944152832032,
438
+ 0.020495359420776366,
439
+ 0.02066022491455078,
440
+ 0.021073919296264648,
441
+ 0.02107904052734375,
442
+ 0.02102374458312988,
443
+ 0.021003263473510742,
444
+ 0.0210565128326416,
445
+ 0.02044825553894043,
446
+ 0.021192703247070312,
447
+ 0.021324800491333007,
448
+ 0.0211015682220459,
449
+ 0.02104729652404785,
450
+ 0.021086208343505858,
451
+ 0.02108415985107422,
452
+ 0.02082918357849121,
453
+ 0.021124095916748048,
454
+ 0.021194751739501954,
455
+ 0.021169151306152344,
456
+ 0.020539392471313478,
457
+ 0.020509695053100584,
458
+ 0.02047590446472168,
459
+ 0.020968448638916014,
460
+ 0.02109542465209961,
461
+ 0.0204769287109375,
462
+ 0.02049126434326172
463
+ ]
464
+ },
465
+ "throughput": {
466
+ "unit": "tokens/s",
467
+ "value": 48.17744498434486
468
+ },
469
+ "energy": null,
470
+ "efficiency": null
471
+ }
472
+ }
473
+ }
2024-09-09/commit=66bc4def9505fa7c7fe4aa7a248c34a026bb552b/backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=False/benchmark.log ADDED
File without changes
2024-09-09/commit=66bc4def9505fa7c7fe4aa7a248c34a026bb552b/backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=False/benchmark_config.json ADDED
@@ -0,0 +1,104 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "name": "pytorch_generate",
3
+ "backend": {
4
+ "name": "pytorch",
5
+ "version": "2.4.0+cu121",
6
+ "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
7
+ "task": "text-generation",
8
+ "library": "transformers",
9
+ "model_type": "gemma",
10
+ "model": "google/gemma-2b",
11
+ "processor": "google/gemma-2b",
12
+ "device": "cuda",
13
+ "device_ids": "0",
14
+ "seed": 42,
15
+ "inter_op_num_threads": null,
16
+ "intra_op_num_threads": null,
17
+ "model_kwargs": {},
18
+ "processor_kwargs": {},
19
+ "no_weights": true,
20
+ "device_map": null,
21
+ "torch_dtype": "float16",
22
+ "eval_mode": true,
23
+ "to_bettertransformer": false,
24
+ "low_cpu_mem_usage": null,
25
+ "attn_implementation": null,
26
+ "cache_implementation": "static",
27
+ "autocast_enabled": false,
28
+ "autocast_dtype": null,
29
+ "torch_compile": false,
30
+ "torch_compile_target": "forward",
31
+ "torch_compile_config": {
32
+ "backend": "inductor",
33
+ "mode": "reduce-overhead",
34
+ "fullgraph": true
35
+ },
36
+ "quantization_scheme": null,
37
+ "quantization_config": {},
38
+ "deepspeed_inference": false,
39
+ "deepspeed_inference_config": {},
40
+ "peft_type": null,
41
+ "peft_config": {}
42
+ },
43
+ "scenario": {
44
+ "name": "inference",
45
+ "_target_": "optimum_benchmark.scenarios.inference.scenario.InferenceScenario",
46
+ "iterations": 2,
47
+ "duration": 0,
48
+ "warmup_runs": 10,
49
+ "input_shapes": {
50
+ "batch_size": 1,
51
+ "num_choices": 2,
52
+ "sequence_length": 7
53
+ },
54
+ "new_tokens": null,
55
+ "memory": true,
56
+ "latency": true,
57
+ "energy": false,
58
+ "forward_kwargs": {},
59
+ "generate_kwargs": {
60
+ "max_new_tokens": 128,
61
+ "min_new_tokens": 128,
62
+ "do_sample": false
63
+ },
64
+ "call_kwargs": {}
65
+ },
66
+ "launcher": {
67
+ "name": "process",
68
+ "_target_": "optimum_benchmark.launchers.process.launcher.ProcessLauncher",
69
+ "device_isolation": true,
70
+ "device_isolation_action": "warn",
71
+ "numactl": false,
72
+ "numactl_kwargs": {},
73
+ "start_method": "spawn"
74
+ },
75
+ "environment": {
76
+ "cpu": " AMD EPYC 7R32",
77
+ "cpu_count": 16,
78
+ "cpu_ram_mb": 66697.261056,
79
+ "system": "Linux",
80
+ "machine": "x86_64",
81
+ "platform": "Linux-5.10.223-212.873.amzn2.x86_64-x86_64-with-glibc2.29",
82
+ "processor": "x86_64",
83
+ "python_version": "3.8.10",
84
+ "gpu": [
85
+ "NVIDIA A10G"
86
+ ],
87
+ "gpu_count": 1,
88
+ "gpu_vram_mb": 24146608128,
89
+ "optimum_benchmark_version": "0.4.0",
90
+ "optimum_benchmark_commit": null,
91
+ "transformers_version": "4.45.0.dev0",
92
+ "transformers_commit": "66bc4def9505fa7c7fe4aa7a248c34a026bb552b",
93
+ "accelerate_version": "0.35.0.dev0",
94
+ "accelerate_commit": null,
95
+ "diffusers_version": null,
96
+ "diffusers_commit": null,
97
+ "optimum_version": "1.22.0.dev0",
98
+ "optimum_commit": null,
99
+ "timm_version": "0.9.16",
100
+ "timm_commit": null,
101
+ "peft_version": "0.12.1.dev0",
102
+ "peft_commit": null
103
+ }
104
+ }
2024-09-09/commit=66bc4def9505fa7c7fe4aa7a248c34a026bb552b/backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=False/benchmark_report.json ADDED
@@ -0,0 +1,367 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "load": {
3
+ "memory": {
4
+ "unit": "MB",
5
+ "max_ram": 1335.853056,
6
+ "max_global_vram": 6775.373824,
7
+ "max_process_vram": 0.0,
8
+ "max_reserved": 6138.363904,
9
+ "max_allocated": 6060.931072
10
+ },
11
+ "latency": {
12
+ "unit": "s",
13
+ "count": 1,
14
+ "total": 11.5549052734375,
15
+ "mean": 11.5549052734375,
16
+ "stdev": 0.0,
17
+ "p50": 11.5549052734375,
18
+ "p90": 11.5549052734375,
19
+ "p95": 11.5549052734375,
20
+ "p99": 11.5549052734375,
21
+ "values": [
22
+ 11.5549052734375
23
+ ]
24
+ },
25
+ "throughput": null,
26
+ "energy": null,
27
+ "efficiency": null
28
+ },
29
+ "prefill": {
30
+ "memory": {
31
+ "unit": "MB",
32
+ "max_ram": 1815.908352,
33
+ "max_global_vram": 6796.345344,
34
+ "max_process_vram": 0.0,
35
+ "max_reserved": 6142.558208,
36
+ "max_allocated": 5028.450816
37
+ },
38
+ "latency": {
39
+ "unit": "s",
40
+ "count": 2,
41
+ "total": 0.04465740776062012,
42
+ "mean": 0.02232870388031006,
43
+ "stdev": 4.7072410583496455e-05,
44
+ "p50": 0.02232870388031006,
45
+ "p90": 0.022366361808776856,
46
+ "p95": 0.022371069049835206,
47
+ "p99": 0.022374834842681886,
48
+ "values": [
49
+ 0.022281631469726563,
50
+ 0.022375776290893556
51
+ ]
52
+ },
53
+ "throughput": {
54
+ "unit": "tokens/s",
55
+ "value": 313.4978204522097
56
+ },
57
+ "energy": null,
58
+ "efficiency": null
59
+ },
60
+ "decode": {
61
+ "memory": {
62
+ "unit": "MB",
63
+ "max_ram": 1842.540544,
64
+ "max_global_vram": 6800.539648,
65
+ "max_process_vram": 0.0,
66
+ "max_reserved": 6146.752512,
67
+ "max_allocated": 5031.820288
68
+ },
69
+ "latency": {
70
+ "unit": "s",
71
+ "count": 2,
72
+ "total": 5.27243017578125,
73
+ "mean": 2.636215087890625,
74
+ "stdev": 0.004873291015624837,
75
+ "p50": 2.636215087890625,
76
+ "p90": 2.6401137207031247,
77
+ "p95": 2.6406010498046872,
78
+ "p99": 2.6409909130859375,
79
+ "values": [
80
+ 2.631341796875,
81
+ 2.64108837890625
82
+ ]
83
+ },
84
+ "throughput": {
85
+ "unit": "tokens/s",
86
+ "value": 48.175128267557035
87
+ },
88
+ "energy": null,
89
+ "efficiency": null
90
+ },
91
+ "per_token": {
92
+ "memory": null,
93
+ "latency": {
94
+ "unit": "s",
95
+ "count": 254,
96
+ "total": 5.272176639556889,
97
+ "mean": 0.020756600943137343,
98
+ "stdev": 0.0003286462326815648,
99
+ "p50": 0.020604415893554686,
100
+ "p90": 0.021191167449951174,
101
+ "p95": 0.0212695556640625,
102
+ "p99": 0.021576816596984863,
103
+ "values": [
104
+ 0.020455423355102538,
105
+ 0.020501504898071288,
106
+ 0.020504575729370117,
107
+ 0.020818944931030273,
108
+ 0.020566015243530272,
109
+ 0.020714496612548827,
110
+ 0.021146623611450196,
111
+ 0.020980735778808594,
112
+ 0.020758527755737305,
113
+ 0.020403200149536133,
114
+ 0.020913152694702147,
115
+ 0.02104217529296875,
116
+ 0.021230592727661132,
117
+ 0.02109337615966797,
118
+ 0.020504575729370117,
119
+ 0.020649984359741212,
120
+ 0.020347904205322266,
121
+ 0.021638143539428712,
122
+ 0.020568063735961914,
123
+ 0.020503551483154296,
124
+ 0.02122035217285156,
125
+ 0.020998144149780275,
126
+ 0.020823040008544923,
127
+ 0.02049126434326172,
128
+ 0.0204902400970459,
129
+ 0.02109132766723633,
130
+ 0.021209087371826172,
131
+ 0.02048204803466797,
132
+ 0.020555776596069338,
133
+ 0.020548639297485353,
134
+ 0.0204564151763916,
135
+ 0.02043187141418457,
136
+ 0.02049843215942383,
137
+ 0.020509695053100584,
138
+ 0.02068377685546875,
139
+ 0.020497407913208008,
140
+ 0.02046976089477539,
141
+ 0.02048307228088379,
142
+ 0.02045952033996582,
143
+ 0.020756479263305663,
144
+ 0.0210513916015625,
145
+ 0.020501504898071288,
146
+ 0.020485120773315428,
147
+ 0.02025574493408203,
148
+ 0.020546560287475587,
149
+ 0.020682752609252928,
150
+ 0.021238784790039062,
151
+ 0.020538368225097657,
152
+ 0.020516864776611327,
153
+ 0.020412416458129884,
154
+ 0.020497407913208008,
155
+ 0.020447231292724608,
156
+ 0.020470783233642577,
157
+ 0.02045337677001953,
158
+ 0.020552703857421875,
159
+ 0.020542463302612304,
160
+ 0.02049945640563965,
161
+ 0.020477951049804686,
162
+ 0.020444160461425782,
163
+ 0.02045337677001953,
164
+ 0.02047488021850586,
165
+ 0.020518911361694335,
166
+ 0.020462591171264647,
167
+ 0.02045644760131836,
168
+ 0.02044313621520996,
169
+ 0.020496383666992187,
170
+ 0.020586496353149415,
171
+ 0.020479999542236327,
172
+ 0.020454399108886717,
173
+ 0.02045952033996582,
174
+ 0.020530176162719727,
175
+ 0.020753408432006838,
176
+ 0.021046272277832033,
177
+ 0.02057318305969238,
178
+ 0.020509695053100584,
179
+ 0.020454399108886717,
180
+ 0.020477951049804686,
181
+ 0.0206561279296875,
182
+ 0.02191974449157715,
183
+ 0.02123776054382324,
184
+ 0.021226495742797852,
185
+ 0.020554752349853517,
186
+ 0.020512767791748047,
187
+ 0.020509695053100584,
188
+ 0.020497407913208008,
189
+ 0.02066022491455078,
190
+ 0.02086297607421875,
191
+ 0.02084966468811035,
192
+ 0.020769792556762694,
193
+ 0.020612096786499022,
194
+ 0.02050048065185547,
195
+ 0.022544384002685547,
196
+ 0.02130534362792969,
197
+ 0.02128486442565918,
198
+ 0.02129715156555176,
199
+ 0.02109132766723633,
200
+ 0.020487167358398437,
201
+ 0.020790271759033203,
202
+ 0.020726783752441406,
203
+ 0.020520959854125977,
204
+ 0.02130227279663086,
205
+ 0.02107494354248047,
206
+ 0.02106879997253418,
207
+ 0.021160959243774414,
208
+ 0.021374975204467773,
209
+ 0.02103091239929199,
210
+ 0.020702207565307617,
211
+ 0.021172224044799806,
212
+ 0.020479999542236327,
213
+ 0.02045952033996582,
214
+ 0.020470783233642577,
215
+ 0.02107596778869629,
216
+ 0.02064896011352539,
217
+ 0.0204902400970459,
218
+ 0.02065715217590332,
219
+ 0.02047385597229004,
220
+ 0.020505599975585938,
221
+ 0.020625408172607423,
222
+ 0.02110361671447754,
223
+ 0.020706304550170897,
224
+ 0.020571136474609376,
225
+ 0.02081996726989746,
226
+ 0.020883455276489257,
227
+ 0.020477951049804686,
228
+ 0.020832256317138673,
229
+ 0.020441120147705077,
230
+ 0.020441055297851562,
231
+ 0.021038080215454103,
232
+ 0.020426752090454102,
233
+ 0.020387840270996094,
234
+ 0.020996095657348633,
235
+ 0.02102272033691406,
236
+ 0.021006336212158205,
237
+ 0.020972543716430665,
238
+ 0.021003263473510742,
239
+ 0.02103910446166992,
240
+ 0.021121023178100586,
241
+ 0.02045132827758789,
242
+ 0.02044108772277832,
243
+ 0.0204902400970459,
244
+ 0.020715520858764647,
245
+ 0.021384191513061524,
246
+ 0.02060492706298828,
247
+ 0.02104832077026367,
248
+ 0.021013504028320314,
249
+ 0.020603904724121092,
250
+ 0.020531200408935548,
251
+ 0.02046976089477539,
252
+ 0.02048409652709961,
253
+ 0.020587520599365236,
254
+ 0.0212992000579834,
255
+ 0.02110361671447754,
256
+ 0.020979711532592774,
257
+ 0.021161983489990235,
258
+ 0.021028863906860353,
259
+ 0.020999168395996092,
260
+ 0.020963327407836914,
261
+ 0.020505599975585938,
262
+ 0.020582399368286132,
263
+ 0.02051481628417969,
264
+ 0.020497407913208008,
265
+ 0.02050662422180176,
266
+ 0.0204421443939209,
267
+ 0.020803552627563476,
268
+ 0.02047283172607422,
269
+ 0.020625408172607423,
270
+ 0.02046156883239746,
271
+ 0.020463615417480468,
272
+ 0.020520959854125977,
273
+ 0.020525056838989256,
274
+ 0.021206016540527343,
275
+ 0.020724735260009765,
276
+ 0.020535295486450195,
277
+ 0.020551679611206054,
278
+ 0.020471807479858398,
279
+ 0.02068172836303711,
280
+ 0.020447231292724608,
281
+ 0.021012479782104493,
282
+ 0.020976640701293944,
283
+ 0.020468736648559572,
284
+ 0.020715520858764647,
285
+ 0.02045747184753418,
286
+ 0.02103398323059082,
287
+ 0.021133312225341795,
288
+ 0.0210882568359375,
289
+ 0.021227519989013673,
290
+ 0.020669504165649413,
291
+ 0.020489152908325196,
292
+ 0.020496383666992187,
293
+ 0.02125209617614746,
294
+ 0.02102783966064453,
295
+ 0.021242879867553712,
296
+ 0.021021696090698243,
297
+ 0.020549631118774413,
298
+ 0.020504575729370117,
299
+ 0.020997119903564454,
300
+ 0.020471807479858398,
301
+ 0.0210513916015625,
302
+ 0.021167104721069335,
303
+ 0.020485120773315428,
304
+ 0.020502527236938475,
305
+ 0.020454399108886717,
306
+ 0.02048102378845215,
307
+ 0.02045849609375,
308
+ 0.02109337615966797,
309
+ 0.02106060791015625,
310
+ 0.02101759910583496,
311
+ 0.02102374458312988,
312
+ 0.020288511276245116,
313
+ 0.020570112228393556,
314
+ 0.020788223266601562,
315
+ 0.020486143112182616,
316
+ 0.020463615417480468,
317
+ 0.020463615417480468,
318
+ 0.020593664169311524,
319
+ 0.02049126434326172,
320
+ 0.020478975296020507,
321
+ 0.021117952346801756,
322
+ 0.02105241584777832,
323
+ 0.02128691291809082,
324
+ 0.021522432327270507,
325
+ 0.02126131248474121,
326
+ 0.021045248031616212,
327
+ 0.020929536819458007,
328
+ 0.021187583923339845,
329
+ 0.02044927978515625,
330
+ 0.020477951049804686,
331
+ 0.02047385597229004,
332
+ 0.020434944152832032,
333
+ 0.020495359420776366,
334
+ 0.02066022491455078,
335
+ 0.021073919296264648,
336
+ 0.02107904052734375,
337
+ 0.02102374458312988,
338
+ 0.021003263473510742,
339
+ 0.0210565128326416,
340
+ 0.02044825553894043,
341
+ 0.021192703247070312,
342
+ 0.021324800491333007,
343
+ 0.0211015682220459,
344
+ 0.02104729652404785,
345
+ 0.021086208343505858,
346
+ 0.02108415985107422,
347
+ 0.02082918357849121,
348
+ 0.021124095916748048,
349
+ 0.021194751739501954,
350
+ 0.021169151306152344,
351
+ 0.020539392471313478,
352
+ 0.020509695053100584,
353
+ 0.02047590446472168,
354
+ 0.020968448638916014,
355
+ 0.02109542465209961,
356
+ 0.0204769287109375,
357
+ 0.02049126434326172
358
+ ]
359
+ },
360
+ "throughput": {
361
+ "unit": "tokens/s",
362
+ "value": 48.17744498434486
363
+ },
364
+ "energy": null,
365
+ "efficiency": null
366
+ }
367
+ }
2024-09-09/commit=66bc4def9505fa7c7fe4aa7a248c34a026bb552b/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": "66bc4def9505fa7c7fe4aa7a248c34a026bb552b",
4
+ "config": "backend.cache_implementation=static,backend.torch_compile=False",
5
+ "metrics": {
6
+ "prefill.latency.mean": 0.02232870388031006,
7
+ "prefill.throughput.value": 313.4978204522097,
8
+ "decode.latency.mean": 2.636215087890625,
9
+ "decode.throughput.value": 48.175128267557035,
10
+ "per_token.latency.mean": 0.020756600943137343,
11
+ "per_token.throughput.value": 48.17744498434486
12
+ }
13
+ }
2024-09-09/commit=66bc4def9505fa7c7fe4aa7a248c34a026bb552b/backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=True/.hydra/config.yaml ADDED
@@ -0,0 +1,93 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ name: pytorch_generate
2
+ backend:
3
+ name: pytorch
4
+ version: 2.4.0+cu121
5
+ _target_: optimum_benchmark.backends.pytorch.backend.PyTorchBackend
6
+ task: null
7
+ library: null
8
+ model_type: null
9
+ model: google/gemma-2b
10
+ processor: null
11
+ device: cuda
12
+ device_ids: '0'
13
+ seed: 42
14
+ inter_op_num_threads: null
15
+ intra_op_num_threads: null
16
+ model_kwargs: {}
17
+ processor_kwargs: {}
18
+ no_weights: true
19
+ device_map: null
20
+ torch_dtype: float16
21
+ eval_mode: true
22
+ to_bettertransformer: false
23
+ low_cpu_mem_usage: null
24
+ attn_implementation: null
25
+ cache_implementation: static
26
+ autocast_enabled: false
27
+ autocast_dtype: null
28
+ torch_compile: true
29
+ torch_compile_target: forward
30
+ torch_compile_config:
31
+ backend: inductor
32
+ mode: reduce-overhead
33
+ fullgraph: true
34
+ quantization_scheme: null
35
+ quantization_config: {}
36
+ deepspeed_inference: false
37
+ deepspeed_inference_config: {}
38
+ peft_type: null
39
+ peft_config: {}
40
+ scenario:
41
+ name: inference
42
+ _target_: optimum_benchmark.scenarios.inference.scenario.InferenceScenario
43
+ iterations: 2
44
+ duration: 0
45
+ warmup_runs: 10
46
+ input_shapes:
47
+ batch_size: 1
48
+ sequence_length: 7
49
+ new_tokens: null
50
+ memory: true
51
+ latency: true
52
+ energy: false
53
+ forward_kwargs: {}
54
+ generate_kwargs:
55
+ max_new_tokens: 128
56
+ min_new_tokens: 128
57
+ do_sample: false
58
+ call_kwargs: {}
59
+ launcher:
60
+ name: process
61
+ _target_: optimum_benchmark.launchers.process.launcher.ProcessLauncher
62
+ device_isolation: true
63
+ device_isolation_action: warn
64
+ numactl: false
65
+ numactl_kwargs: {}
66
+ start_method: spawn
67
+ environment:
68
+ cpu: ' AMD EPYC 7R32'
69
+ cpu_count: 16
70
+ cpu_ram_mb: 66697.261056
71
+ system: Linux
72
+ machine: x86_64
73
+ platform: Linux-5.10.223-212.873.amzn2.x86_64-x86_64-with-glibc2.29
74
+ processor: x86_64
75
+ python_version: 3.8.10
76
+ gpu:
77
+ - NVIDIA A10G
78
+ gpu_count: 1
79
+ gpu_vram_mb: 24146608128
80
+ optimum_benchmark_version: 0.4.0
81
+ optimum_benchmark_commit: null
82
+ transformers_version: 4.45.0.dev0
83
+ transformers_commit: 66bc4def9505fa7c7fe4aa7a248c34a026bb552b
84
+ accelerate_version: 0.35.0.dev0
85
+ accelerate_commit: null
86
+ diffusers_version: null
87
+ diffusers_commit: null
88
+ optimum_version: 1.22.0.dev0
89
+ optimum_commit: null
90
+ timm_version: 0.9.16
91
+ timm_commit: null
92
+ peft_version: 0.12.1.dev0
93
+ peft_commit: null
2024-09-09/commit=66bc4def9505fa7c7fe4aa7a248c34a026bb552b/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/tmp9ylowwqc/commit=66bc4def9505fa7c7fe4aa7a248c34a026bb552b/${hydra.job.override_dirname}
4
+ sweep:
5
+ dir: _benchmark/tmp9ylowwqc/commit=66bc4def9505fa7c7fe4aa7a248c34a026bb552b
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
+ $HYDRA_CONFIG_GROUPS
62
+
63
+
64
+ Use ''--cfg hydra'' to Show the Hydra config.
65
+
66
+ '
67
+ hydra_help: ???
68
+ hydra_logging:
69
+ version: 1
70
+ root:
71
+ level: ERROR
72
+ disable_existing_loggers: true
73
+ job_logging:
74
+ version: 1
75
+ root:
76
+ level: ERROR
77
+ disable_existing_loggers: true
78
+ env: {}
79
+ mode: MULTIRUN
80
+ searchpath: []
81
+ callbacks: {}
82
+ output_subdir: .hydra
83
+ overrides:
84
+ hydra:
85
+ - hydra/job_logging=disabled
86
+ - hydra/hydra_logging=disabled
87
+ - hydra.sweep.dir=_benchmark/tmp9ylowwqc/commit\=66bc4def9505fa7c7fe4aa7a248c34a026bb552b
88
+ - hydra.run.dir=_benchmark/tmp9ylowwqc/commit\=66bc4def9505fa7c7fe4aa7a248c34a026bb552b/${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/tmp9ylowwqc/commit=66bc4def9505fa7c7fe4aa7a248c34a026bb552b/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
2024-09-09/commit=66bc4def9505fa7c7fe4aa7a248c34a026bb552b/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
2024-09-09/commit=66bc4def9505fa7c7fe4aa7a248c34a026bb552b/backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=True/benchmark.json ADDED
@@ -0,0 +1,473 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "config": {
3
+ "name": "pytorch_generate",
4
+ "backend": {
5
+ "name": "pytorch",
6
+ "version": "2.4.0+cu121",
7
+ "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
8
+ "task": "text-generation",
9
+ "library": "transformers",
10
+ "model_type": "gemma",
11
+ "model": "google/gemma-2b",
12
+ "processor": "google/gemma-2b",
13
+ "device": "cuda",
14
+ "device_ids": "0",
15
+ "seed": 42,
16
+ "inter_op_num_threads": null,
17
+ "intra_op_num_threads": null,
18
+ "model_kwargs": {},
19
+ "processor_kwargs": {},
20
+ "no_weights": true,
21
+ "device_map": null,
22
+ "torch_dtype": "float16",
23
+ "eval_mode": true,
24
+ "to_bettertransformer": false,
25
+ "low_cpu_mem_usage": null,
26
+ "attn_implementation": null,
27
+ "cache_implementation": "static",
28
+ "autocast_enabled": false,
29
+ "autocast_dtype": null,
30
+ "torch_compile": true,
31
+ "torch_compile_target": "forward",
32
+ "torch_compile_config": {
33
+ "backend": "inductor",
34
+ "mode": "reduce-overhead",
35
+ "fullgraph": true
36
+ },
37
+ "quantization_scheme": null,
38
+ "quantization_config": {},
39
+ "deepspeed_inference": false,
40
+ "deepspeed_inference_config": {},
41
+ "peft_type": null,
42
+ "peft_config": {}
43
+ },
44
+ "scenario": {
45
+ "name": "inference",
46
+ "_target_": "optimum_benchmark.scenarios.inference.scenario.InferenceScenario",
47
+ "iterations": 2,
48
+ "duration": 0,
49
+ "warmup_runs": 10,
50
+ "input_shapes": {
51
+ "batch_size": 1,
52
+ "num_choices": 2,
53
+ "sequence_length": 7
54
+ },
55
+ "new_tokens": null,
56
+ "memory": true,
57
+ "latency": true,
58
+ "energy": false,
59
+ "forward_kwargs": {},
60
+ "generate_kwargs": {
61
+ "max_new_tokens": 128,
62
+ "min_new_tokens": 128,
63
+ "do_sample": false
64
+ },
65
+ "call_kwargs": {}
66
+ },
67
+ "launcher": {
68
+ "name": "process",
69
+ "_target_": "optimum_benchmark.launchers.process.launcher.ProcessLauncher",
70
+ "device_isolation": true,
71
+ "device_isolation_action": "warn",
72
+ "numactl": false,
73
+ "numactl_kwargs": {},
74
+ "start_method": "spawn"
75
+ },
76
+ "environment": {
77
+ "cpu": " AMD EPYC 7R32",
78
+ "cpu_count": 16,
79
+ "cpu_ram_mb": 66697.261056,
80
+ "system": "Linux",
81
+ "machine": "x86_64",
82
+ "platform": "Linux-5.10.223-212.873.amzn2.x86_64-x86_64-with-glibc2.29",
83
+ "processor": "x86_64",
84
+ "python_version": "3.8.10",
85
+ "gpu": [
86
+ "NVIDIA A10G"
87
+ ],
88
+ "gpu_count": 1,
89
+ "gpu_vram_mb": 24146608128,
90
+ "optimum_benchmark_version": "0.4.0",
91
+ "optimum_benchmark_commit": null,
92
+ "transformers_version": "4.45.0.dev0",
93
+ "transformers_commit": "66bc4def9505fa7c7fe4aa7a248c34a026bb552b",
94
+ "accelerate_version": "0.35.0.dev0",
95
+ "accelerate_commit": null,
96
+ "diffusers_version": null,
97
+ "diffusers_commit": null,
98
+ "optimum_version": "1.22.0.dev0",
99
+ "optimum_commit": null,
100
+ "timm_version": "0.9.16",
101
+ "timm_commit": null,
102
+ "peft_version": "0.12.1.dev0",
103
+ "peft_commit": null
104
+ }
105
+ },
106
+ "report": {
107
+ "load": {
108
+ "memory": {
109
+ "unit": "MB",
110
+ "max_ram": 1353.756672,
111
+ "max_global_vram": 6775.373824,
112
+ "max_process_vram": 0.0,
113
+ "max_reserved": 6138.363904,
114
+ "max_allocated": 6060.931072
115
+ },
116
+ "latency": {
117
+ "unit": "s",
118
+ "count": 1,
119
+ "total": 13.015529296875,
120
+ "mean": 13.015529296875,
121
+ "stdev": 0.0,
122
+ "p50": 13.015529296875,
123
+ "p90": 13.015529296875,
124
+ "p95": 13.015529296875,
125
+ "p99": 13.015529296875,
126
+ "values": [
127
+ 13.015529296875
128
+ ]
129
+ },
130
+ "throughput": null,
131
+ "energy": null,
132
+ "efficiency": null
133
+ },
134
+ "prefill": {
135
+ "memory": {
136
+ "unit": "MB",
137
+ "max_ram": 1925.742592,
138
+ "max_global_vram": 6796.345344,
139
+ "max_process_vram": 0.0,
140
+ "max_reserved": 6138.363904,
141
+ "max_allocated": 5278.596608
142
+ },
143
+ "latency": {
144
+ "unit": "s",
145
+ "count": 2,
146
+ "total": 0.02835750389099121,
147
+ "mean": 0.014178751945495605,
148
+ "stdev": 0.0001983041763305663,
149
+ "p50": 0.014178751945495605,
150
+ "p90": 0.014337395286560058,
151
+ "p95": 0.014357225704193115,
152
+ "p99": 0.01437309003829956,
153
+ "values": [
154
+ 0.013980447769165039,
155
+ 0.014377056121826172
156
+ ]
157
+ },
158
+ "throughput": {
159
+ "unit": "tokens/s",
160
+ "value": 493.69648519902375
161
+ },
162
+ "energy": null,
163
+ "efficiency": null
164
+ },
165
+ "decode": {
166
+ "memory": {
167
+ "unit": "MB",
168
+ "max_ram": 2098.884608,
169
+ "max_global_vram": 6060.244992,
170
+ "max_process_vram": 0.0,
171
+ "max_reserved": 5381.292032,
172
+ "max_allocated": 5282.647552
173
+ },
174
+ "latency": {
175
+ "unit": "s",
176
+ "count": 2,
177
+ "total": 3.13300537109375,
178
+ "mean": 1.566502685546875,
179
+ "stdev": 0.00012390136718753997,
180
+ "p50": 1.566502685546875,
181
+ "p90": 1.566601806640625,
182
+ "p95": 1.5666141967773437,
183
+ "p99": 1.5666241088867188,
184
+ "values": [
185
+ 1.5666265869140625,
186
+ 1.5663787841796875
187
+ ]
188
+ },
189
+ "throughput": {
190
+ "unit": "tokens/s",
191
+ "value": 81.07231552920292
192
+ },
193
+ "energy": null,
194
+ "efficiency": null
195
+ },
196
+ "per_token": {
197
+ "memory": null,
198
+ "latency": {
199
+ "unit": "s",
200
+ "count": 254,
201
+ "total": 3.1327047624588027,
202
+ "mean": 0.012333483316766935,
203
+ "stdev": 8.446177575398085e-05,
204
+ "p50": 0.012312576293945313,
205
+ "p90": 0.012358963108062743,
206
+ "p95": 0.012455321550369262,
207
+ "p99": 0.012812411012649535,
208
+ "values": [
209
+ 0.01248256015777588,
210
+ 0.012323840141296387,
211
+ 0.01229312038421631,
212
+ 0.012313632011413575,
213
+ 0.01231766414642334,
214
+ 0.012319744110107422,
215
+ 0.012317695617675782,
216
+ 0.01233510398864746,
217
+ 0.01232588768005371,
218
+ 0.01232588768005371,
219
+ 0.012973055839538575,
220
+ 0.012379136085510254,
221
+ 0.012317695617675782,
222
+ 0.012305407524108887,
223
+ 0.012314623832702636,
224
+ 0.012315648078918457,
225
+ 0.012308480262756348,
226
+ 0.012316672325134278,
227
+ 0.012310527801513671,
228
+ 0.012319744110107422,
229
+ 0.012320768356323243,
230
+ 0.012297216415405274,
231
+ 0.012305407524108887,
232
+ 0.01234329605102539,
233
+ 0.012332032203674317,
234
+ 0.012310527801513671,
235
+ 0.012311552047729492,
236
+ 0.012309503555297852,
237
+ 0.012303359985351562,
238
+ 0.012306431770324706,
239
+ 0.012324864387512208,
240
+ 0.012306431770324706,
241
+ 0.012313599586486817,
242
+ 0.012304384231567383,
243
+ 0.012310527801513671,
244
+ 0.012300288200378418,
245
+ 0.012319744110107422,
246
+ 0.012326911926269531,
247
+ 0.012312576293945313,
248
+ 0.012305407524108887,
249
+ 0.01237299156188965,
250
+ 0.012305407524108887,
251
+ 0.012302335739135742,
252
+ 0.012308480262756348,
253
+ 0.012322815895080566,
254
+ 0.012316672325134278,
255
+ 0.01258188819885254,
256
+ 0.012339200019836426,
257
+ 0.01245798397064209,
258
+ 0.012301312446594239,
259
+ 0.012309503555297852,
260
+ 0.012309503555297852,
261
+ 0.012300288200378418,
262
+ 0.012313599586486817,
263
+ 0.012309503555297852,
264
+ 0.012314687728881836,
265
+ 0.01235142421722412,
266
+ 0.012315648078918457,
267
+ 0.012317695617675782,
268
+ 0.012301312446594239,
269
+ 0.01233510398864746,
270
+ 0.012315648078918457,
271
+ 0.012302335739135742,
272
+ 0.012302335739135742,
273
+ 0.012321791648864745,
274
+ 0.012318719863891601,
275
+ 0.012307456016540527,
276
+ 0.012322815895080566,
277
+ 0.012316672325134278,
278
+ 0.012352512359619141,
279
+ 0.012310527801513671,
280
+ 0.012315648078918457,
281
+ 0.012308480262756348,
282
+ 0.012328960418701173,
283
+ 0.012311552047729492,
284
+ 0.012301312446594239,
285
+ 0.012307456016540527,
286
+ 0.012311552047729492,
287
+ 0.012301312446594239,
288
+ 0.012306431770324706,
289
+ 0.012306431770324706,
290
+ 0.012323840141296387,
291
+ 0.012323936462402344,
292
+ 0.012309408187866211,
293
+ 0.012303359985351562,
294
+ 0.012295167922973632,
295
+ 0.012333056449890138,
296
+ 0.012307519912719727,
297
+ 0.012306367874145508,
298
+ 0.012320768356323243,
299
+ 0.012299263954162597,
300
+ 0.012304384231567383,
301
+ 0.012317695617675782,
302
+ 0.012321791648864745,
303
+ 0.012974080085754394,
304
+ 0.012348416328430176,
305
+ 0.012345343589782716,
306
+ 0.012336128234863282,
307
+ 0.012318719863891601,
308
+ 0.012305407524108887,
309
+ 0.012307456016540527,
310
+ 0.012304384231567383,
311
+ 0.012302335739135742,
312
+ 0.012310527801513671,
313
+ 0.012320768356323243,
314
+ 0.012316672325134278,
315
+ 0.012308480262756348,
316
+ 0.012310527801513671,
317
+ 0.012303359985351562,
318
+ 0.012323840141296387,
319
+ 0.012309503555297852,
320
+ 0.012314623832702636,
321
+ 0.012310527801513671,
322
+ 0.012315648078918457,
323
+ 0.012303359985351562,
324
+ 0.012314623832702636,
325
+ 0.012314623832702636,
326
+ 0.012316703796386719,
327
+ 0.012520416259765625,
328
+ 0.012552191734313965,
329
+ 0.012437503814697265,
330
+ 0.012316672325134278,
331
+ 0.012305407524108887,
332
+ 0.012308480262756348,
333
+ 0.012294143676757812,
334
+ 0.012296192169189453,
335
+ 0.012307456016540527,
336
+ 0.012339200019836426,
337
+ 0.012307456016540527,
338
+ 0.012300288200378418,
339
+ 0.012292096138000488,
340
+ 0.012304384231567383,
341
+ 0.012304384231567383,
342
+ 0.012305407524108887,
343
+ 0.012315648078918457,
344
+ 0.012306431770324706,
345
+ 0.012465151786804199,
346
+ 0.01235148811340332,
347
+ 0.012320768356323243,
348
+ 0.012302335739135742,
349
+ 0.012310527801513671,
350
+ 0.012313599586486817,
351
+ 0.012303359985351562,
352
+ 0.012300288200378418,
353
+ 0.012295167922973632,
354
+ 0.012305407524108887,
355
+ 0.012311552047729492,
356
+ 0.012286975860595703,
357
+ 0.01244876766204834,
358
+ 0.012371968269348145,
359
+ 0.012324864387512208,
360
+ 0.012306431770324706,
361
+ 0.012321791648864745,
362
+ 0.012305407524108887,
363
+ 0.012286975860595703,
364
+ 0.012295167922973632,
365
+ 0.012306431770324706,
366
+ 0.012309503555297852,
367
+ 0.012303359985351562,
368
+ 0.012305407524108887,
369
+ 0.012302335739135742,
370
+ 0.012303359985351562,
371
+ 0.012323840141296387,
372
+ 0.012321791648864745,
373
+ 0.012297216415405274,
374
+ 0.012307456016540527,
375
+ 0.012291071891784668,
376
+ 0.012301312446594239,
377
+ 0.012294143676757812,
378
+ 0.012313599586486817,
379
+ 0.012296192169189453,
380
+ 0.012313599586486817,
381
+ 0.012319744110107422,
382
+ 0.012297216415405274,
383
+ 0.012295167922973632,
384
+ 0.01234124755859375,
385
+ 0.012399616241455079,
386
+ 0.012984319686889649,
387
+ 0.012328960418701173,
388
+ 0.012393471717834472,
389
+ 0.012314623832702636,
390
+ 0.012323840141296387,
391
+ 0.01231158447265625,
392
+ 0.012303327560424805,
393
+ 0.012297216415405274,
394
+ 0.012323840141296387,
395
+ 0.012327936172485352,
396
+ 0.01233510398864746,
397
+ 0.012327936172485352,
398
+ 0.012324864387512208,
399
+ 0.012403712272644044,
400
+ 0.012308480262756348,
401
+ 0.012319744110107422,
402
+ 0.012315648078918457,
403
+ 0.012331007957458496,
404
+ 0.012412927627563476,
405
+ 0.01233510398864746,
406
+ 0.01233510398864746,
407
+ 0.012323840141296387,
408
+ 0.012389375686645507,
409
+ 0.012306431770324706,
410
+ 0.012305407524108887,
411
+ 0.012310527801513671,
412
+ 0.012472319602966308,
413
+ 0.012319744110107422,
414
+ 0.012309503555297852,
415
+ 0.012308480262756348,
416
+ 0.012316672325134278,
417
+ 0.012301312446594239,
418
+ 0.012326911926269531,
419
+ 0.012322815895080566,
420
+ 0.012304384231567383,
421
+ 0.012309503555297852,
422
+ 0.012312576293945313,
423
+ 0.012304384231567383,
424
+ 0.012301312446594239,
425
+ 0.012361727714538574,
426
+ 0.012352512359619141,
427
+ 0.012365823745727538,
428
+ 0.012305407524108887,
429
+ 0.012309503555297852,
430
+ 0.012304384231567383,
431
+ 0.012320768356323243,
432
+ 0.012453887939453125,
433
+ 0.012313599586486817,
434
+ 0.012303359985351562,
435
+ 0.012304384231567383,
436
+ 0.012309503555297852,
437
+ 0.012307456016540527,
438
+ 0.012324864387512208,
439
+ 0.012317695617675782,
440
+ 0.012310527801513671,
441
+ 0.012303359985351562,
442
+ 0.012301312446594239,
443
+ 0.012327936172485352,
444
+ 0.012326911926269531,
445
+ 0.012310527801513671,
446
+ 0.012308480262756348,
447
+ 0.012348416328430176,
448
+ 0.012312576293945313,
449
+ 0.012311552047729492,
450
+ 0.012313599586486817,
451
+ 0.012317695617675782,
452
+ 0.012323840141296387,
453
+ 0.012304384231567383,
454
+ 0.012308480262756348,
455
+ 0.012305407524108887,
456
+ 0.01233510398864746,
457
+ 0.012319744110107422,
458
+ 0.012298239707946777,
459
+ 0.012309503555297852,
460
+ 0.012463104248046876,
461
+ 0.012669952392578124,
462
+ 0.012488703727722168
463
+ ]
464
+ },
465
+ "throughput": {
466
+ "unit": "tokens/s",
467
+ "value": 81.08009508072512
468
+ },
469
+ "energy": null,
470
+ "efficiency": null
471
+ }
472
+ }
473
+ }
2024-09-09/commit=66bc4def9505fa7c7fe4aa7a248c34a026bb552b/backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=True/benchmark.log ADDED
File without changes
2024-09-09/commit=66bc4def9505fa7c7fe4aa7a248c34a026bb552b/backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=True/benchmark_config.json ADDED
@@ -0,0 +1,104 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "name": "pytorch_generate",
3
+ "backend": {
4
+ "name": "pytorch",
5
+ "version": "2.4.0+cu121",
6
+ "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
7
+ "task": "text-generation",
8
+ "library": "transformers",
9
+ "model_type": "gemma",
10
+ "model": "google/gemma-2b",
11
+ "processor": "google/gemma-2b",
12
+ "device": "cuda",
13
+ "device_ids": "0",
14
+ "seed": 42,
15
+ "inter_op_num_threads": null,
16
+ "intra_op_num_threads": null,
17
+ "model_kwargs": {},
18
+ "processor_kwargs": {},
19
+ "no_weights": true,
20
+ "device_map": null,
21
+ "torch_dtype": "float16",
22
+ "eval_mode": true,
23
+ "to_bettertransformer": false,
24
+ "low_cpu_mem_usage": null,
25
+ "attn_implementation": null,
26
+ "cache_implementation": "static",
27
+ "autocast_enabled": false,
28
+ "autocast_dtype": null,
29
+ "torch_compile": true,
30
+ "torch_compile_target": "forward",
31
+ "torch_compile_config": {
32
+ "backend": "inductor",
33
+ "mode": "reduce-overhead",
34
+ "fullgraph": true
35
+ },
36
+ "quantization_scheme": null,
37
+ "quantization_config": {},
38
+ "deepspeed_inference": false,
39
+ "deepspeed_inference_config": {},
40
+ "peft_type": null,
41
+ "peft_config": {}
42
+ },
43
+ "scenario": {
44
+ "name": "inference",
45
+ "_target_": "optimum_benchmark.scenarios.inference.scenario.InferenceScenario",
46
+ "iterations": 2,
47
+ "duration": 0,
48
+ "warmup_runs": 10,
49
+ "input_shapes": {
50
+ "batch_size": 1,
51
+ "num_choices": 2,
52
+ "sequence_length": 7
53
+ },
54
+ "new_tokens": null,
55
+ "memory": true,
56
+ "latency": true,
57
+ "energy": false,
58
+ "forward_kwargs": {},
59
+ "generate_kwargs": {
60
+ "max_new_tokens": 128,
61
+ "min_new_tokens": 128,
62
+ "do_sample": false
63
+ },
64
+ "call_kwargs": {}
65
+ },
66
+ "launcher": {
67
+ "name": "process",
68
+ "_target_": "optimum_benchmark.launchers.process.launcher.ProcessLauncher",
69
+ "device_isolation": true,
70
+ "device_isolation_action": "warn",
71
+ "numactl": false,
72
+ "numactl_kwargs": {},
73
+ "start_method": "spawn"
74
+ },
75
+ "environment": {
76
+ "cpu": " AMD EPYC 7R32",
77
+ "cpu_count": 16,
78
+ "cpu_ram_mb": 66697.261056,
79
+ "system": "Linux",
80
+ "machine": "x86_64",
81
+ "platform": "Linux-5.10.223-212.873.amzn2.x86_64-x86_64-with-glibc2.29",
82
+ "processor": "x86_64",
83
+ "python_version": "3.8.10",
84
+ "gpu": [
85
+ "NVIDIA A10G"
86
+ ],
87
+ "gpu_count": 1,
88
+ "gpu_vram_mb": 24146608128,
89
+ "optimum_benchmark_version": "0.4.0",
90
+ "optimum_benchmark_commit": null,
91
+ "transformers_version": "4.45.0.dev0",
92
+ "transformers_commit": "66bc4def9505fa7c7fe4aa7a248c34a026bb552b",
93
+ "accelerate_version": "0.35.0.dev0",
94
+ "accelerate_commit": null,
95
+ "diffusers_version": null,
96
+ "diffusers_commit": null,
97
+ "optimum_version": "1.22.0.dev0",
98
+ "optimum_commit": null,
99
+ "timm_version": "0.9.16",
100
+ "timm_commit": null,
101
+ "peft_version": "0.12.1.dev0",
102
+ "peft_commit": null
103
+ }
104
+ }
2024-09-09/commit=66bc4def9505fa7c7fe4aa7a248c34a026bb552b/backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=True/benchmark_report.json ADDED
@@ -0,0 +1,367 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "load": {
3
+ "memory": {
4
+ "unit": "MB",
5
+ "max_ram": 1353.756672,
6
+ "max_global_vram": 6775.373824,
7
+ "max_process_vram": 0.0,
8
+ "max_reserved": 6138.363904,
9
+ "max_allocated": 6060.931072
10
+ },
11
+ "latency": {
12
+ "unit": "s",
13
+ "count": 1,
14
+ "total": 13.015529296875,
15
+ "mean": 13.015529296875,
16
+ "stdev": 0.0,
17
+ "p50": 13.015529296875,
18
+ "p90": 13.015529296875,
19
+ "p95": 13.015529296875,
20
+ "p99": 13.015529296875,
21
+ "values": [
22
+ 13.015529296875
23
+ ]
24
+ },
25
+ "throughput": null,
26
+ "energy": null,
27
+ "efficiency": null
28
+ },
29
+ "prefill": {
30
+ "memory": {
31
+ "unit": "MB",
32
+ "max_ram": 1925.742592,
33
+ "max_global_vram": 6796.345344,
34
+ "max_process_vram": 0.0,
35
+ "max_reserved": 6138.363904,
36
+ "max_allocated": 5278.596608
37
+ },
38
+ "latency": {
39
+ "unit": "s",
40
+ "count": 2,
41
+ "total": 0.02835750389099121,
42
+ "mean": 0.014178751945495605,
43
+ "stdev": 0.0001983041763305663,
44
+ "p50": 0.014178751945495605,
45
+ "p90": 0.014337395286560058,
46
+ "p95": 0.014357225704193115,
47
+ "p99": 0.01437309003829956,
48
+ "values": [
49
+ 0.013980447769165039,
50
+ 0.014377056121826172
51
+ ]
52
+ },
53
+ "throughput": {
54
+ "unit": "tokens/s",
55
+ "value": 493.69648519902375
56
+ },
57
+ "energy": null,
58
+ "efficiency": null
59
+ },
60
+ "decode": {
61
+ "memory": {
62
+ "unit": "MB",
63
+ "max_ram": 2098.884608,
64
+ "max_global_vram": 6060.244992,
65
+ "max_process_vram": 0.0,
66
+ "max_reserved": 5381.292032,
67
+ "max_allocated": 5282.647552
68
+ },
69
+ "latency": {
70
+ "unit": "s",
71
+ "count": 2,
72
+ "total": 3.13300537109375,
73
+ "mean": 1.566502685546875,
74
+ "stdev": 0.00012390136718753997,
75
+ "p50": 1.566502685546875,
76
+ "p90": 1.566601806640625,
77
+ "p95": 1.5666141967773437,
78
+ "p99": 1.5666241088867188,
79
+ "values": [
80
+ 1.5666265869140625,
81
+ 1.5663787841796875
82
+ ]
83
+ },
84
+ "throughput": {
85
+ "unit": "tokens/s",
86
+ "value": 81.07231552920292
87
+ },
88
+ "energy": null,
89
+ "efficiency": null
90
+ },
91
+ "per_token": {
92
+ "memory": null,
93
+ "latency": {
94
+ "unit": "s",
95
+ "count": 254,
96
+ "total": 3.1327047624588027,
97
+ "mean": 0.012333483316766935,
98
+ "stdev": 8.446177575398085e-05,
99
+ "p50": 0.012312576293945313,
100
+ "p90": 0.012358963108062743,
101
+ "p95": 0.012455321550369262,
102
+ "p99": 0.012812411012649535,
103
+ "values": [
104
+ 0.01248256015777588,
105
+ 0.012323840141296387,
106
+ 0.01229312038421631,
107
+ 0.012313632011413575,
108
+ 0.01231766414642334,
109
+ 0.012319744110107422,
110
+ 0.012317695617675782,
111
+ 0.01233510398864746,
112
+ 0.01232588768005371,
113
+ 0.01232588768005371,
114
+ 0.012973055839538575,
115
+ 0.012379136085510254,
116
+ 0.012317695617675782,
117
+ 0.012305407524108887,
118
+ 0.012314623832702636,
119
+ 0.012315648078918457,
120
+ 0.012308480262756348,
121
+ 0.012316672325134278,
122
+ 0.012310527801513671,
123
+ 0.012319744110107422,
124
+ 0.012320768356323243,
125
+ 0.012297216415405274,
126
+ 0.012305407524108887,
127
+ 0.01234329605102539,
128
+ 0.012332032203674317,
129
+ 0.012310527801513671,
130
+ 0.012311552047729492,
131
+ 0.012309503555297852,
132
+ 0.012303359985351562,
133
+ 0.012306431770324706,
134
+ 0.012324864387512208,
135
+ 0.012306431770324706,
136
+ 0.012313599586486817,
137
+ 0.012304384231567383,
138
+ 0.012310527801513671,
139
+ 0.012300288200378418,
140
+ 0.012319744110107422,
141
+ 0.012326911926269531,
142
+ 0.012312576293945313,
143
+ 0.012305407524108887,
144
+ 0.01237299156188965,
145
+ 0.012305407524108887,
146
+ 0.012302335739135742,
147
+ 0.012308480262756348,
148
+ 0.012322815895080566,
149
+ 0.012316672325134278,
150
+ 0.01258188819885254,
151
+ 0.012339200019836426,
152
+ 0.01245798397064209,
153
+ 0.012301312446594239,
154
+ 0.012309503555297852,
155
+ 0.012309503555297852,
156
+ 0.012300288200378418,
157
+ 0.012313599586486817,
158
+ 0.012309503555297852,
159
+ 0.012314687728881836,
160
+ 0.01235142421722412,
161
+ 0.012315648078918457,
162
+ 0.012317695617675782,
163
+ 0.012301312446594239,
164
+ 0.01233510398864746,
165
+ 0.012315648078918457,
166
+ 0.012302335739135742,
167
+ 0.012302335739135742,
168
+ 0.012321791648864745,
169
+ 0.012318719863891601,
170
+ 0.012307456016540527,
171
+ 0.012322815895080566,
172
+ 0.012316672325134278,
173
+ 0.012352512359619141,
174
+ 0.012310527801513671,
175
+ 0.012315648078918457,
176
+ 0.012308480262756348,
177
+ 0.012328960418701173,
178
+ 0.012311552047729492,
179
+ 0.012301312446594239,
180
+ 0.012307456016540527,
181
+ 0.012311552047729492,
182
+ 0.012301312446594239,
183
+ 0.012306431770324706,
184
+ 0.012306431770324706,
185
+ 0.012323840141296387,
186
+ 0.012323936462402344,
187
+ 0.012309408187866211,
188
+ 0.012303359985351562,
189
+ 0.012295167922973632,
190
+ 0.012333056449890138,
191
+ 0.012307519912719727,
192
+ 0.012306367874145508,
193
+ 0.012320768356323243,
194
+ 0.012299263954162597,
195
+ 0.012304384231567383,
196
+ 0.012317695617675782,
197
+ 0.012321791648864745,
198
+ 0.012974080085754394,
199
+ 0.012348416328430176,
200
+ 0.012345343589782716,
201
+ 0.012336128234863282,
202
+ 0.012318719863891601,
203
+ 0.012305407524108887,
204
+ 0.012307456016540527,
205
+ 0.012304384231567383,
206
+ 0.012302335739135742,
207
+ 0.012310527801513671,
208
+ 0.012320768356323243,
209
+ 0.012316672325134278,
210
+ 0.012308480262756348,
211
+ 0.012310527801513671,
212
+ 0.012303359985351562,
213
+ 0.012323840141296387,
214
+ 0.012309503555297852,
215
+ 0.012314623832702636,
216
+ 0.012310527801513671,
217
+ 0.012315648078918457,
218
+ 0.012303359985351562,
219
+ 0.012314623832702636,
220
+ 0.012314623832702636,
221
+ 0.012316703796386719,
222
+ 0.012520416259765625,
223
+ 0.012552191734313965,
224
+ 0.012437503814697265,
225
+ 0.012316672325134278,
226
+ 0.012305407524108887,
227
+ 0.012308480262756348,
228
+ 0.012294143676757812,
229
+ 0.012296192169189453,
230
+ 0.012307456016540527,
231
+ 0.012339200019836426,
232
+ 0.012307456016540527,
233
+ 0.012300288200378418,
234
+ 0.012292096138000488,
235
+ 0.012304384231567383,
236
+ 0.012304384231567383,
237
+ 0.012305407524108887,
238
+ 0.012315648078918457,
239
+ 0.012306431770324706,
240
+ 0.012465151786804199,
241
+ 0.01235148811340332,
242
+ 0.012320768356323243,
243
+ 0.012302335739135742,
244
+ 0.012310527801513671,
245
+ 0.012313599586486817,
246
+ 0.012303359985351562,
247
+ 0.012300288200378418,
248
+ 0.012295167922973632,
249
+ 0.012305407524108887,
250
+ 0.012311552047729492,
251
+ 0.012286975860595703,
252
+ 0.01244876766204834,
253
+ 0.012371968269348145,
254
+ 0.012324864387512208,
255
+ 0.012306431770324706,
256
+ 0.012321791648864745,
257
+ 0.012305407524108887,
258
+ 0.012286975860595703,
259
+ 0.012295167922973632,
260
+ 0.012306431770324706,
261
+ 0.012309503555297852,
262
+ 0.012303359985351562,
263
+ 0.012305407524108887,
264
+ 0.012302335739135742,
265
+ 0.012303359985351562,
266
+ 0.012323840141296387,
267
+ 0.012321791648864745,
268
+ 0.012297216415405274,
269
+ 0.012307456016540527,
270
+ 0.012291071891784668,
271
+ 0.012301312446594239,
272
+ 0.012294143676757812,
273
+ 0.012313599586486817,
274
+ 0.012296192169189453,
275
+ 0.012313599586486817,
276
+ 0.012319744110107422,
277
+ 0.012297216415405274,
278
+ 0.012295167922973632,
279
+ 0.01234124755859375,
280
+ 0.012399616241455079,
281
+ 0.012984319686889649,
282
+ 0.012328960418701173,
283
+ 0.012393471717834472,
284
+ 0.012314623832702636,
285
+ 0.012323840141296387,
286
+ 0.01231158447265625,
287
+ 0.012303327560424805,
288
+ 0.012297216415405274,
289
+ 0.012323840141296387,
290
+ 0.012327936172485352,
291
+ 0.01233510398864746,
292
+ 0.012327936172485352,
293
+ 0.012324864387512208,
294
+ 0.012403712272644044,
295
+ 0.012308480262756348,
296
+ 0.012319744110107422,
297
+ 0.012315648078918457,
298
+ 0.012331007957458496,
299
+ 0.012412927627563476,
300
+ 0.01233510398864746,
301
+ 0.01233510398864746,
302
+ 0.012323840141296387,
303
+ 0.012389375686645507,
304
+ 0.012306431770324706,
305
+ 0.012305407524108887,
306
+ 0.012310527801513671,
307
+ 0.012472319602966308,
308
+ 0.012319744110107422,
309
+ 0.012309503555297852,
310
+ 0.012308480262756348,
311
+ 0.012316672325134278,
312
+ 0.012301312446594239,
313
+ 0.012326911926269531,
314
+ 0.012322815895080566,
315
+ 0.012304384231567383,
316
+ 0.012309503555297852,
317
+ 0.012312576293945313,
318
+ 0.012304384231567383,
319
+ 0.012301312446594239,
320
+ 0.012361727714538574,
321
+ 0.012352512359619141,
322
+ 0.012365823745727538,
323
+ 0.012305407524108887,
324
+ 0.012309503555297852,
325
+ 0.012304384231567383,
326
+ 0.012320768356323243,
327
+ 0.012453887939453125,
328
+ 0.012313599586486817,
329
+ 0.012303359985351562,
330
+ 0.012304384231567383,
331
+ 0.012309503555297852,
332
+ 0.012307456016540527,
333
+ 0.012324864387512208,
334
+ 0.012317695617675782,
335
+ 0.012310527801513671,
336
+ 0.012303359985351562,
337
+ 0.012301312446594239,
338
+ 0.012327936172485352,
339
+ 0.012326911926269531,
340
+ 0.012310527801513671,
341
+ 0.012308480262756348,
342
+ 0.012348416328430176,
343
+ 0.012312576293945313,
344
+ 0.012311552047729492,
345
+ 0.012313599586486817,
346
+ 0.012317695617675782,
347
+ 0.012323840141296387,
348
+ 0.012304384231567383,
349
+ 0.012308480262756348,
350
+ 0.012305407524108887,
351
+ 0.01233510398864746,
352
+ 0.012319744110107422,
353
+ 0.012298239707946777,
354
+ 0.012309503555297852,
355
+ 0.012463104248046876,
356
+ 0.012669952392578124,
357
+ 0.012488703727722168
358
+ ]
359
+ },
360
+ "throughput": {
361
+ "unit": "tokens/s",
362
+ "value": 81.08009508072512
363
+ },
364
+ "energy": null,
365
+ "efficiency": null
366
+ }
367
+ }
2024-09-09/commit=66bc4def9505fa7c7fe4aa7a248c34a026bb552b/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": "66bc4def9505fa7c7fe4aa7a248c34a026bb552b",
4
+ "config": "backend.cache_implementation=static,backend.torch_compile=True",
5
+ "metrics": {
6
+ "prefill.latency.mean": 0.014178751945495605,
7
+ "prefill.throughput.value": 493.69648519902375,
8
+ "decode.latency.mean": 1.566502685546875,
9
+ "decode.throughput.value": 81.07231552920292,
10
+ "per_token.latency.mean": 0.012333483316766935,
11
+ "per_token.throughput.value": 81.08009508072512
12
+ }
13
+ }
2024-09-09/commit=66bc4def9505fa7c7fe4aa7a248c34a026bb552b/multirun.yaml ADDED
@@ -0,0 +1,234 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ hydra:
2
+ run:
3
+ dir: _benchmark/tmp9ylowwqc/commit=66bc4def9505fa7c7fe4aa7a248c34a026bb552b/${hydra.job.override_dirname}
4
+ sweep:
5
+ dir: _benchmark/tmp9ylowwqc/commit=66bc4def9505fa7c7fe4aa7a248c34a026bb552b
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
+ $HYDRA_CONFIG_GROUPS
62
+
63
+
64
+ Use ''--cfg hydra'' to Show the Hydra config.
65
+
66
+ '
67
+ hydra_help: ???
68
+ hydra_logging:
69
+ version: 1
70
+ root:
71
+ level: ERROR
72
+ disable_existing_loggers: true
73
+ job_logging:
74
+ version: 1
75
+ root:
76
+ level: ERROR
77
+ disable_existing_loggers: true
78
+ env: {}
79
+ mode: MULTIRUN
80
+ searchpath: []
81
+ callbacks: {}
82
+ output_subdir: .hydra
83
+ overrides:
84
+ hydra:
85
+ - hydra/job_logging=disabled
86
+ - hydra/hydra_logging=disabled
87
+ - hydra.sweep.dir=_benchmark/tmp9ylowwqc/commit\=66bc4def9505fa7c7fe4aa7a248c34a026bb552b
88
+ - hydra.run.dir=_benchmark/tmp9ylowwqc/commit\=66bc4def9505fa7c7fe4aa7a248c34a026bb552b/${hydra.job.override_dirname}
89
+ - hydra.mode=MULTIRUN
90
+ task:
91
+ - backend.model=google/gemma-2b
92
+ - backend.cache_implementation=null,static
93
+ - backend.torch_compile=false,true
94
+ job:
95
+ name: cli
96
+ chdir: true
97
+ override_dirname: backend.cache_implementation=null,static,backend.model=google/gemma-2b,backend.torch_compile=false,true
98
+ id: ???
99
+ num: ???
100
+ config_name: generation
101
+ env_set:
102
+ OVERRIDE_BENCHMARKS: '1'
103
+ LOG_LEVEL: WARN
104
+ env_copy: []
105
+ config:
106
+ override_dirname:
107
+ kv_sep: '='
108
+ item_sep: ','
109
+ exclude_keys: []
110
+ runtime:
111
+ version: 1.3.2
112
+ version_base: '1.3'
113
+ cwd: /transformers
114
+ config_sources:
115
+ - path: hydra.conf
116
+ schema: pkg
117
+ provider: hydra
118
+ - path: optimum_benchmark
119
+ schema: pkg
120
+ provider: main
121
+ - path: /transformers/benchmark/config
122
+ schema: file
123
+ provider: command-line
124
+ - path: ''
125
+ schema: structured
126
+ provider: schema
127
+ output_dir: ???
128
+ choices:
129
+ backend: pytorch
130
+ launcher: process
131
+ scenario: inference
132
+ hydra/env: default
133
+ hydra/callbacks: null
134
+ hydra/job_logging: disabled
135
+ hydra/hydra_logging: disabled
136
+ hydra/hydra_help: default
137
+ hydra/help: default
138
+ hydra/sweeper: basic
139
+ hydra/launcher: basic
140
+ hydra/output: default
141
+ verbose: false
142
+ name: pytorch_generate
143
+ backend:
144
+ name: pytorch
145
+ version: 2.4.0+cu121
146
+ _target_: optimum_benchmark.backends.pytorch.backend.PyTorchBackend
147
+ task: null
148
+ library: null
149
+ model_type: null
150
+ model: google/gemma-2b
151
+ processor: null
152
+ device: cuda
153
+ device_ids: '0'
154
+ seed: 42
155
+ inter_op_num_threads: null
156
+ intra_op_num_threads: null
157
+ model_kwargs: {}
158
+ processor_kwargs: {}
159
+ no_weights: true
160
+ device_map: null
161
+ torch_dtype: float16
162
+ eval_mode: true
163
+ to_bettertransformer: false
164
+ low_cpu_mem_usage: null
165
+ attn_implementation: null
166
+ cache_implementation: static
167
+ autocast_enabled: false
168
+ autocast_dtype: null
169
+ torch_compile: true
170
+ torch_compile_target: forward
171
+ torch_compile_config:
172
+ backend: inductor
173
+ mode: reduce-overhead
174
+ fullgraph: true
175
+ quantization_scheme: null
176
+ quantization_config: {}
177
+ deepspeed_inference: false
178
+ deepspeed_inference_config: {}
179
+ peft_type: null
180
+ peft_config: {}
181
+ scenario:
182
+ name: inference
183
+ _target_: optimum_benchmark.scenarios.inference.scenario.InferenceScenario
184
+ iterations: 2
185
+ duration: 0
186
+ warmup_runs: 10
187
+ input_shapes:
188
+ batch_size: 1
189
+ sequence_length: 7
190
+ new_tokens: null
191
+ memory: true
192
+ latency: true
193
+ energy: false
194
+ forward_kwargs: {}
195
+ generate_kwargs:
196
+ max_new_tokens: 128
197
+ min_new_tokens: 128
198
+ do_sample: false
199
+ call_kwargs: {}
200
+ launcher:
201
+ name: process
202
+ _target_: optimum_benchmark.launchers.process.launcher.ProcessLauncher
203
+ device_isolation: true
204
+ device_isolation_action: warn
205
+ numactl: false
206
+ numactl_kwargs: {}
207
+ start_method: spawn
208
+ environment:
209
+ cpu: ' AMD EPYC 7R32'
210
+ cpu_count: 16
211
+ cpu_ram_mb: 66697.261056
212
+ system: Linux
213
+ machine: x86_64
214
+ platform: Linux-5.10.223-212.873.amzn2.x86_64-x86_64-with-glibc2.29
215
+ processor: x86_64
216
+ python_version: 3.8.10
217
+ gpu:
218
+ - NVIDIA A10G
219
+ gpu_count: 1
220
+ gpu_vram_mb: 24146608128
221
+ optimum_benchmark_version: 0.4.0
222
+ optimum_benchmark_commit: null
223
+ transformers_version: 4.45.0.dev0
224
+ transformers_commit: 66bc4def9505fa7c7fe4aa7a248c34a026bb552b
225
+ accelerate_version: 0.35.0.dev0
226
+ accelerate_commit: null
227
+ diffusers_version: null
228
+ diffusers_commit: null
229
+ optimum_version: 1.22.0.dev0
230
+ optimum_commit: null
231
+ timm_version: 0.9.16
232
+ timm_commit: null
233
+ peft_version: 0.12.1.dev0
234
+ peft_commit: null
2024-09-09/summaries.json ADDED
@@ -0,0 +1,41 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ [
2
+ {
3
+ "model": "google/gemma-2b",
4
+ "commit": "66bc4def9505fa7c7fe4aa7a248c34a026bb552b",
5
+ "config": "backend.cache_implementation=null,backend.torch_compile=False",
6
+ "metrics": {
7
+ "prefill.latency.mean": 0.02079572772979736,
8
+ "prefill.throughput.value": 336.6075999336143,
9
+ "decode.latency.mean": 2.5491331787109375,
10
+ "decode.throughput.value": 49.82085716848352,
11
+ "per_token.latency.mean": 0.020070670037757695,
12
+ "per_token.throughput.value": 49.82394698925161
13
+ }
14
+ },
15
+ {
16
+ "model": "google/gemma-2b",
17
+ "commit": "66bc4def9505fa7c7fe4aa7a248c34a026bb552b",
18
+ "config": "backend.cache_implementation=static,backend.torch_compile=False",
19
+ "metrics": {
20
+ "prefill.latency.mean": 0.02232870388031006,
21
+ "prefill.throughput.value": 313.4978204522097,
22
+ "decode.latency.mean": 2.636215087890625,
23
+ "decode.throughput.value": 48.175128267557035,
24
+ "per_token.latency.mean": 0.020756600943137343,
25
+ "per_token.throughput.value": 48.17744498434486
26
+ }
27
+ },
28
+ {
29
+ "model": "google/gemma-2b",
30
+ "commit": "66bc4def9505fa7c7fe4aa7a248c34a026bb552b",
31
+ "config": "backend.cache_implementation=static,backend.torch_compile=True",
32
+ "metrics": {
33
+ "prefill.latency.mean": 0.014178751945495605,
34
+ "prefill.throughput.value": 493.69648519902375,
35
+ "decode.latency.mean": 1.566502685546875,
36
+ "decode.throughput.value": 81.07231552920292,
37
+ "per_token.latency.mean": 0.012333483316766935,
38
+ "per_token.throughput.value": 81.08009508072512
39
+ }
40
+ }
41
+ ]
2024-09-09/summary.json ADDED
@@ -0,0 +1,40 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "google/gemma-2b": {
3
+ "backend.cache_implementation=null,backend.torch_compile=False": {
4
+ "66bc4def9505fa7c7fe4aa7a248c34a026bb552b": {
5
+ "metrics": {
6
+ "prefill.latency.mean": 0.02079572772979736,
7
+ "prefill.throughput.value": 336.6075999336143,
8
+ "decode.latency.mean": 2.5491331787109375,
9
+ "decode.throughput.value": 49.82085716848352,
10
+ "per_token.latency.mean": 0.020070670037757695,
11
+ "per_token.throughput.value": 49.82394698925161
12
+ }
13
+ }
14
+ },
15
+ "backend.cache_implementation=static,backend.torch_compile=False": {
16
+ "66bc4def9505fa7c7fe4aa7a248c34a026bb552b": {
17
+ "metrics": {
18
+ "prefill.latency.mean": 0.02232870388031006,
19
+ "prefill.throughput.value": 313.4978204522097,
20
+ "decode.latency.mean": 2.636215087890625,
21
+ "decode.throughput.value": 48.175128267557035,
22
+ "per_token.latency.mean": 0.020756600943137343,
23
+ "per_token.throughput.value": 48.17744498434486
24
+ }
25
+ }
26
+ },
27
+ "backend.cache_implementation=static,backend.torch_compile=True": {
28
+ "66bc4def9505fa7c7fe4aa7a248c34a026bb552b": {
29
+ "metrics": {
30
+ "prefill.latency.mean": 0.014178751945495605,
31
+ "prefill.throughput.value": 493.69648519902375,
32
+ "decode.latency.mean": 1.566502685546875,
33
+ "decode.throughput.value": 81.07231552920292,
34
+ "per_token.latency.mean": 0.012333483316766935,
35
+ "per_token.throughput.value": 81.08009508072512
36
+ }
37
+ }
38
+ }
39
+ }
40
+ }