hf-transformers-bot commited on
Commit
bd4e0df
1 Parent(s): 0f84566

Upload folder using huggingface_hub

Browse files
Files changed (32) hide show
  1. 2024-06-27/commit=1de7dc7403b3b89ec421d43a8c9ee245211a61f6/backend.cache_implementation=null,backend.model=google/gemma-2b,backend.torch_compile=False/.hydra/config.yaml +91 -0
  2. 2024-06-27/commit=1de7dc7403b3b89ec421d43a8c9ee245211a61f6/backend.cache_implementation=null,backend.model=google/gemma-2b,backend.torch_compile=False/.hydra/hydra.yaml +141 -0
  3. 2024-06-27/commit=1de7dc7403b3b89ec421d43a8c9ee245211a61f6/backend.cache_implementation=null,backend.model=google/gemma-2b,backend.torch_compile=False/.hydra/overrides.yaml +3 -0
  4. 2024-06-27/commit=1de7dc7403b3b89ec421d43a8c9ee245211a61f6/backend.cache_implementation=null,backend.model=google/gemma-2b,backend.torch_compile=False/benchmark.json +443 -0
  5. 2024-06-27/commit=1de7dc7403b3b89ec421d43a8c9ee245211a61f6/backend.cache_implementation=null,backend.model=google/gemma-2b,backend.torch_compile=False/benchmark.log +0 -0
  6. 2024-06-27/commit=1de7dc7403b3b89ec421d43a8c9ee245211a61f6/backend.cache_implementation=null,backend.model=google/gemma-2b,backend.torch_compile=False/benchmark_config.json +102 -0
  7. 2024-06-27/commit=1de7dc7403b3b89ec421d43a8c9ee245211a61f6/backend.cache_implementation=null,backend.model=google/gemma-2b,backend.torch_compile=False/benchmark_report.json +339 -0
  8. 2024-06-27/commit=1de7dc7403b3b89ec421d43a8c9ee245211a61f6/backend.cache_implementation=null,backend.model=google/gemma-2b,backend.torch_compile=False/summary.json +13 -0
  9. 2024-06-27/commit=1de7dc7403b3b89ec421d43a8c9ee245211a61f6/backend.cache_implementation=null,backend.model=google/gemma-2b,backend.torch_compile=True/.hydra/config.yaml +91 -0
  10. 2024-06-27/commit=1de7dc7403b3b89ec421d43a8c9ee245211a61f6/backend.cache_implementation=null,backend.model=google/gemma-2b,backend.torch_compile=True/.hydra/hydra.yaml +141 -0
  11. 2024-06-27/commit=1de7dc7403b3b89ec421d43a8c9ee245211a61f6/backend.cache_implementation=null,backend.model=google/gemma-2b,backend.torch_compile=True/.hydra/overrides.yaml +3 -0
  12. 2024-06-27/commit=1de7dc7403b3b89ec421d43a8c9ee245211a61f6/backend.cache_implementation=null,backend.model=google/gemma-2b,backend.torch_compile=True/benchmark.log +1 -0
  13. 2024-06-27/commit=1de7dc7403b3b89ec421d43a8c9ee245211a61f6/backend.cache_implementation=null,backend.model=google/gemma-2b,backend.torch_compile=True/benchmark_config.json +102 -0
  14. 2024-06-27/commit=1de7dc7403b3b89ec421d43a8c9ee245211a61f6/backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=False/.hydra/config.yaml +91 -0
  15. 2024-06-27/commit=1de7dc7403b3b89ec421d43a8c9ee245211a61f6/backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=False/.hydra/hydra.yaml +141 -0
  16. 2024-06-27/commit=1de7dc7403b3b89ec421d43a8c9ee245211a61f6/backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=False/.hydra/overrides.yaml +3 -0
  17. 2024-06-27/commit=1de7dc7403b3b89ec421d43a8c9ee245211a61f6/backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=False/benchmark.json +443 -0
  18. 2024-06-27/commit=1de7dc7403b3b89ec421d43a8c9ee245211a61f6/backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=False/benchmark.log +0 -0
  19. 2024-06-27/commit=1de7dc7403b3b89ec421d43a8c9ee245211a61f6/backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=False/benchmark_config.json +102 -0
  20. 2024-06-27/commit=1de7dc7403b3b89ec421d43a8c9ee245211a61f6/backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=False/benchmark_report.json +339 -0
  21. 2024-06-27/commit=1de7dc7403b3b89ec421d43a8c9ee245211a61f6/backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=False/summary.json +13 -0
  22. 2024-06-27/commit=1de7dc7403b3b89ec421d43a8c9ee245211a61f6/backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=True/.hydra/config.yaml +91 -0
  23. 2024-06-27/commit=1de7dc7403b3b89ec421d43a8c9ee245211a61f6/backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=True/.hydra/hydra.yaml +141 -0
  24. 2024-06-27/commit=1de7dc7403b3b89ec421d43a8c9ee245211a61f6/backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=True/.hydra/overrides.yaml +3 -0
  25. 2024-06-27/commit=1de7dc7403b3b89ec421d43a8c9ee245211a61f6/backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=True/benchmark.json +443 -0
  26. 2024-06-27/commit=1de7dc7403b3b89ec421d43a8c9ee245211a61f6/backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=True/benchmark.log +0 -0
  27. 2024-06-27/commit=1de7dc7403b3b89ec421d43a8c9ee245211a61f6/backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=True/benchmark_config.json +102 -0
  28. 2024-06-27/commit=1de7dc7403b3b89ec421d43a8c9ee245211a61f6/backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=True/benchmark_report.json +339 -0
  29. 2024-06-27/commit=1de7dc7403b3b89ec421d43a8c9ee245211a61f6/backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=True/summary.json +13 -0
  30. 2024-06-27/commit=1de7dc7403b3b89ec421d43a8c9ee245211a61f6/multirun.yaml +232 -0
  31. 2024-06-27/summaries.json +41 -0
  32. 2024-06-27/summary.json +40 -0
2024-06-27/commit=1de7dc7403b3b89ec421d43a8c9ee245211a61f6/backend.cache_implementation=null,backend.model=google/gemma-2b,backend.torch_compile=False/.hydra/config.yaml ADDED
@@ -0,0 +1,91 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ name: pytorch_generate
2
+ backend:
3
+ name: pytorch
4
+ version: 2.3.0+cu121
5
+ _target_: optimum_benchmark.backends.pytorch.backend.PyTorchBackend
6
+ task: null
7
+ library: null
8
+ model: google/gemma-2b
9
+ processor: null
10
+ device: cuda
11
+ device_ids: '0'
12
+ seed: 42
13
+ inter_op_num_threads: null
14
+ intra_op_num_threads: null
15
+ model_kwargs: {}
16
+ processor_kwargs: {}
17
+ hub_kwargs: {}
18
+ no_weights: true
19
+ device_map: null
20
+ torch_dtype: float16
21
+ eval_mode: true
22
+ to_bettertransformer: false
23
+ low_cpu_mem_usage: null
24
+ attn_implementation: null
25
+ cache_implementation: null
26
+ autocast_enabled: false
27
+ autocast_dtype: null
28
+ torch_compile: false
29
+ torch_compile_target: forward
30
+ torch_compile_config:
31
+ backend: inductor
32
+ mode: reduce-overhead
33
+ fullgraph: true
34
+ quantization_scheme: null
35
+ quantization_config: {}
36
+ deepspeed_inference: false
37
+ deepspeed_inference_config: {}
38
+ peft_type: null
39
+ peft_config: {}
40
+ scenario:
41
+ name: inference
42
+ _target_: optimum_benchmark.scenarios.inference.scenario.InferenceScenario
43
+ iterations: 2
44
+ duration: 0
45
+ warmup_runs: 10
46
+ input_shapes:
47
+ batch_size: 1
48
+ sequence_length: 7
49
+ new_tokens: null
50
+ latency: true
51
+ memory: true
52
+ energy: false
53
+ forward_kwargs: {}
54
+ generate_kwargs:
55
+ max_new_tokens: 128
56
+ min_new_tokens: 128
57
+ do_sample: false
58
+ call_kwargs: {}
59
+ launcher:
60
+ name: process
61
+ _target_: optimum_benchmark.launchers.process.launcher.ProcessLauncher
62
+ device_isolation: true
63
+ device_isolation_action: warn
64
+ start_method: spawn
65
+ environment:
66
+ cpu: ' AMD EPYC 7R32'
67
+ cpu_count: 16
68
+ cpu_ram_mb: 66697.29792
69
+ system: Linux
70
+ machine: x86_64
71
+ platform: Linux-5.10.218-208.862.amzn2.x86_64-x86_64-with-glibc2.29
72
+ processor: x86_64
73
+ python_version: 3.8.10
74
+ gpu:
75
+ - NVIDIA A10G
76
+ gpu_count: 1
77
+ gpu_vram_mb: 24146608128
78
+ optimum_benchmark_version: 0.2.1
79
+ optimum_benchmark_commit: null
80
+ transformers_version: 4.42.0.dev0
81
+ transformers_commit: 1de7dc7403b3b89ec421d43a8c9ee245211a61f6
82
+ accelerate_version: 0.32.0.dev0
83
+ accelerate_commit: null
84
+ diffusers_version: null
85
+ diffusers_commit: null
86
+ optimum_version: 1.21.0.dev0
87
+ optimum_commit: null
88
+ timm_version: 0.9.16
89
+ timm_commit: null
90
+ peft_version: 0.11.2.dev0
91
+ peft_commit: null
2024-06-27/commit=1de7dc7403b3b89ec421d43a8c9ee245211a61f6/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/tmpnqjysp93/commit=1de7dc7403b3b89ec421d43a8c9ee245211a61f6/${hydra.job.override_dirname}
4
+ sweep:
5
+ dir: _benchmark/tmpnqjysp93/commit=1de7dc7403b3b89ec421d43a8c9ee245211a61f6
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
+ $HYDRA_CONFIG_GROUPS
62
+
63
+
64
+ Use ''--cfg hydra'' to Show the Hydra config.
65
+
66
+ '
67
+ hydra_help: ???
68
+ hydra_logging:
69
+ version: 1
70
+ root:
71
+ level: ERROR
72
+ disable_existing_loggers: true
73
+ job_logging:
74
+ version: 1
75
+ root:
76
+ level: ERROR
77
+ disable_existing_loggers: true
78
+ env: {}
79
+ mode: MULTIRUN
80
+ searchpath: []
81
+ callbacks: {}
82
+ output_subdir: .hydra
83
+ overrides:
84
+ hydra:
85
+ - hydra/job_logging=disabled
86
+ - hydra/hydra_logging=disabled
87
+ - hydra.sweep.dir=_benchmark/tmpnqjysp93/commit\=1de7dc7403b3b89ec421d43a8c9ee245211a61f6
88
+ - hydra.run.dir=_benchmark/tmpnqjysp93/commit\=1de7dc7403b3b89ec421d43a8c9ee245211a61f6/${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/tmpnqjysp93/commit=1de7dc7403b3b89ec421d43a8c9ee245211a61f6/backend.cache_implementation=null,backend.model=google/gemma-2b,backend.torch_compile=False
128
+ choices:
129
+ backend: pytorch
130
+ launcher: process
131
+ scenario: inference
132
+ hydra/env: default
133
+ hydra/callbacks: null
134
+ hydra/job_logging: disabled
135
+ hydra/hydra_logging: disabled
136
+ hydra/hydra_help: default
137
+ hydra/help: default
138
+ hydra/sweeper: basic
139
+ hydra/launcher: basic
140
+ hydra/output: default
141
+ verbose: false
2024-06-27/commit=1de7dc7403b3b89ec421d43a8c9ee245211a61f6/backend.cache_implementation=null,backend.model=google/gemma-2b,backend.torch_compile=False/.hydra/overrides.yaml ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ - backend.model=google/gemma-2b
2
+ - backend.cache_implementation=null
3
+ - backend.torch_compile=False
2024-06-27/commit=1de7dc7403b3b89ec421d43a8c9ee245211a61f6/backend.cache_implementation=null,backend.model=google/gemma-2b,backend.torch_compile=False/benchmark.json ADDED
@@ -0,0 +1,443 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "config": {
3
+ "name": "pytorch_generate",
4
+ "backend": {
5
+ "name": "pytorch",
6
+ "version": "2.3.0+cu121",
7
+ "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
8
+ "task": "text-generation",
9
+ "library": "transformers",
10
+ "model": "google/gemma-2b",
11
+ "processor": "google/gemma-2b",
12
+ "device": "cuda",
13
+ "device_ids": "0",
14
+ "seed": 42,
15
+ "inter_op_num_threads": null,
16
+ "intra_op_num_threads": null,
17
+ "model_kwargs": {},
18
+ "processor_kwargs": {},
19
+ "hub_kwargs": {},
20
+ "no_weights": true,
21
+ "device_map": null,
22
+ "torch_dtype": "float16",
23
+ "eval_mode": true,
24
+ "to_bettertransformer": false,
25
+ "low_cpu_mem_usage": null,
26
+ "attn_implementation": null,
27
+ "cache_implementation": null,
28
+ "autocast_enabled": false,
29
+ "autocast_dtype": null,
30
+ "torch_compile": false,
31
+ "torch_compile_target": "forward",
32
+ "torch_compile_config": {
33
+ "backend": "inductor",
34
+ "mode": "reduce-overhead",
35
+ "fullgraph": true
36
+ },
37
+ "quantization_scheme": null,
38
+ "quantization_config": {},
39
+ "deepspeed_inference": false,
40
+ "deepspeed_inference_config": {},
41
+ "peft_type": null,
42
+ "peft_config": {}
43
+ },
44
+ "scenario": {
45
+ "name": "inference",
46
+ "_target_": "optimum_benchmark.scenarios.inference.scenario.InferenceScenario",
47
+ "iterations": 2,
48
+ "duration": 0,
49
+ "warmup_runs": 10,
50
+ "input_shapes": {
51
+ "batch_size": 1,
52
+ "num_choices": 2,
53
+ "sequence_length": 7
54
+ },
55
+ "new_tokens": null,
56
+ "latency": true,
57
+ "memory": true,
58
+ "energy": false,
59
+ "forward_kwargs": {},
60
+ "generate_kwargs": {
61
+ "max_new_tokens": 128,
62
+ "min_new_tokens": 128,
63
+ "do_sample": false
64
+ },
65
+ "call_kwargs": {}
66
+ },
67
+ "launcher": {
68
+ "name": "process",
69
+ "_target_": "optimum_benchmark.launchers.process.launcher.ProcessLauncher",
70
+ "device_isolation": true,
71
+ "device_isolation_action": "warn",
72
+ "start_method": "spawn"
73
+ },
74
+ "environment": {
75
+ "cpu": " AMD EPYC 7R32",
76
+ "cpu_count": 16,
77
+ "cpu_ram_mb": 66697.29792,
78
+ "system": "Linux",
79
+ "machine": "x86_64",
80
+ "platform": "Linux-5.10.218-208.862.amzn2.x86_64-x86_64-with-glibc2.29",
81
+ "processor": "x86_64",
82
+ "python_version": "3.8.10",
83
+ "gpu": [
84
+ "NVIDIA A10G"
85
+ ],
86
+ "gpu_count": 1,
87
+ "gpu_vram_mb": 24146608128,
88
+ "optimum_benchmark_version": "0.2.1",
89
+ "optimum_benchmark_commit": null,
90
+ "transformers_version": "4.42.0.dev0",
91
+ "transformers_commit": "1de7dc7403b3b89ec421d43a8c9ee245211a61f6",
92
+ "accelerate_version": "0.32.0.dev0",
93
+ "accelerate_commit": null,
94
+ "diffusers_version": null,
95
+ "diffusers_commit": null,
96
+ "optimum_version": "1.21.0.dev0",
97
+ "optimum_commit": null,
98
+ "timm_version": "0.9.16",
99
+ "timm_commit": null,
100
+ "peft_version": "0.11.2.dev0",
101
+ "peft_commit": null
102
+ }
103
+ },
104
+ "report": {
105
+ "prefill": {
106
+ "memory": {
107
+ "unit": "MB",
108
+ "max_ram": 1730.535424,
109
+ "max_global_vram": 6793.199616,
110
+ "max_process_vram": 0.0,
111
+ "max_reserved": 6146.752512,
112
+ "max_allocated": 5034.576896
113
+ },
114
+ "latency": {
115
+ "unit": "s",
116
+ "count": 2,
117
+ "total": 0.03975424003601074,
118
+ "mean": 0.01987712001800537,
119
+ "stdev": 0.0001449594497680666,
120
+ "p50": 0.01987712001800537,
121
+ "p90": 0.019993087577819823,
122
+ "p95": 0.020007583522796628,
123
+ "p99": 0.020019180278778075,
124
+ "values": [
125
+ 0.020022079467773436,
126
+ 0.019732160568237303
127
+ ]
128
+ },
129
+ "throughput": {
130
+ "unit": "tokens/s",
131
+ "value": 352.16369341530174
132
+ },
133
+ "energy": null,
134
+ "efficiency": null
135
+ },
136
+ "decode": {
137
+ "memory": {
138
+ "unit": "MB",
139
+ "max_ram": 1730.617344,
140
+ "max_global_vram": 6795.296768,
141
+ "max_process_vram": 0.0,
142
+ "max_reserved": 6148.849664,
143
+ "max_allocated": 5034.577408
144
+ },
145
+ "latency": {
146
+ "unit": "s",
147
+ "count": 2,
148
+ "total": 4.788974609375,
149
+ "mean": 2.3944873046875,
150
+ "stdev": 0.0072429199218748685,
151
+ "p50": 2.3944873046875,
152
+ "p90": 2.400281640625,
153
+ "p95": 2.401005932617187,
154
+ "p99": 2.4015853662109374,
155
+ "values": [
156
+ 2.401730224609375,
157
+ 2.387244384765625
158
+ ]
159
+ },
160
+ "throughput": {
161
+ "unit": "tokens/s",
162
+ "value": 53.03849377333597
163
+ },
164
+ "energy": null,
165
+ "efficiency": null
166
+ },
167
+ "per_token": {
168
+ "memory": null,
169
+ "latency": {
170
+ "unit": "s",
171
+ "count": 253,
172
+ "total": 4.789055486679078,
173
+ "mean": 0.018929073069877775,
174
+ "stdev": 0.0013167771977965525,
175
+ "p50": 0.01884774398803711,
176
+ "p90": 0.019217817306518555,
177
+ "p95": 0.019372851181030274,
178
+ "p99": 0.02100580284118652,
179
+ "values": [
180
+ 0.02079641532897949,
181
+ 0.018611200332641603,
182
+ 0.018375680923461913,
183
+ 0.018353151321411132,
184
+ 0.018342912673950194,
185
+ 0.018343936920166014,
186
+ 0.018356224060058594,
187
+ 0.018390016555786134,
188
+ 0.018348031997680665,
189
+ 0.018544639587402344,
190
+ 0.018551807403564453,
191
+ 0.01845452880859375,
192
+ 0.018354175567626953,
193
+ 0.01841971206665039,
194
+ 0.01840127944946289,
195
+ 0.01841049575805664,
196
+ 0.01855897521972656,
197
+ 0.01841868782043457,
198
+ 0.018280448913574218,
199
+ 0.01825279998779297,
200
+ 0.01836031913757324,
201
+ 0.01842278480529785,
202
+ 0.018415615081787108,
203
+ 0.018381824493408205,
204
+ 0.01839820861816406,
205
+ 0.018415615081787108,
206
+ 0.01842790412902832,
207
+ 0.01838489532470703,
208
+ 0.01844428825378418,
209
+ 0.018420736312866212,
210
+ 0.018380800247192384,
211
+ 0.018372608184814454,
212
+ 0.018363391876220703,
213
+ 0.01839923286437988,
214
+ 0.01866854476928711,
215
+ 0.0190382080078125,
216
+ 0.01900441551208496,
217
+ 0.019005439758300782,
218
+ 0.018971647262573242,
219
+ 0.018670591354370117,
220
+ 0.01882828712463379,
221
+ 0.018967552185058592,
222
+ 0.01904537582397461,
223
+ 0.019129344940185547,
224
+ 0.019141632080078123,
225
+ 0.018903039932250978,
226
+ 0.01900032043457031,
227
+ 0.018807807922363282,
228
+ 0.018580480575561522,
229
+ 0.018749439239501953,
230
+ 0.01884774398803711,
231
+ 0.018980863571166993,
232
+ 0.019308544158935546,
233
+ 0.0193832950592041,
234
+ 0.020512767791748047,
235
+ 0.02000383949279785,
236
+ 0.02027827262878418,
237
+ 0.01946112060546875,
238
+ 0.018569215774536133,
239
+ 0.018976768493652343,
240
+ 0.019105791091918945,
241
+ 0.019104768753051758,
242
+ 0.019573759078979493,
243
+ 0.019150848388671874,
244
+ 0.019331071853637697,
245
+ 0.019215360641479492,
246
+ 0.019154943466186524,
247
+ 0.019105791091918945,
248
+ 0.019133440017700197,
249
+ 0.018930688858032226,
250
+ 0.019144704818725586,
251
+ 0.019090431213378906,
252
+ 0.01927884864807129,
253
+ 0.019360767364501954,
254
+ 0.019122175216674805,
255
+ 0.01929523277282715,
256
+ 0.019107839584350587,
257
+ 0.019129344940185547,
258
+ 0.019186687469482423,
259
+ 0.019111936569213867,
260
+ 0.018946048736572265,
261
+ 0.018503679275512695,
262
+ 0.018525184631347655,
263
+ 0.018536447525024414,
264
+ 0.018531328201293946,
265
+ 0.01863987159729004,
266
+ 0.019104768753051758,
267
+ 0.01904025650024414,
268
+ 0.019072000503540038,
269
+ 0.018917375564575196,
270
+ 0.018526208877563476,
271
+ 0.019143680572509765,
272
+ 0.019104768753051758,
273
+ 0.019099647521972657,
274
+ 0.019170303344726563,
275
+ 0.019078144073486326,
276
+ 0.019152896881103516,
277
+ 0.019117055892944337,
278
+ 0.019171327590942384,
279
+ 0.019130367279052735,
280
+ 0.01921843147277832,
281
+ 0.01921023941040039,
282
+ 0.019147775650024415,
283
+ 0.01904844856262207,
284
+ 0.019100671768188478,
285
+ 0.019155967712402345,
286
+ 0.019325952529907226,
287
+ 0.019133440017700197,
288
+ 0.018563072204589845,
289
+ 0.018486272811889647,
290
+ 0.018852863311767578,
291
+ 0.019110912322998046,
292
+ 0.019195903778076173,
293
+ 0.019365888595581054,
294
+ 0.01924300765991211,
295
+ 0.019116031646728517,
296
+ 0.019165184020996092,
297
+ 0.019161088943481445,
298
+ 0.019087360382080077,
299
+ 0.01906892776489258,
300
+ 0.018592767715454102,
301
+ 0.019191808700561523,
302
+ 0.019112960815429687,
303
+ 0.019129344940185547,
304
+ 0.01859686470031738,
305
+ 0.018536447525024414,
306
+ 0.03857100677490234,
307
+ 0.01882828712463379,
308
+ 0.019087423324584962,
309
+ 0.018466751098632814,
310
+ 0.018811904907226562,
311
+ 0.018766847610473633,
312
+ 0.018877439498901367,
313
+ 0.018408447265625,
314
+ 0.018762752532958983,
315
+ 0.01899519920349121,
316
+ 0.018977792739868164,
317
+ 0.019107839584350587,
318
+ 0.019021823883056642,
319
+ 0.01900032043457031,
320
+ 0.018980863571166993,
321
+ 0.01845145606994629,
322
+ 0.01843609619140625,
323
+ 0.018495487213134765,
324
+ 0.018431999206542968,
325
+ 0.01865727996826172,
326
+ 0.018408447265625,
327
+ 0.018365440368652345,
328
+ 0.01843609619140625,
329
+ 0.018449407577514648,
330
+ 0.019135488510131835,
331
+ 0.018447359085083007,
332
+ 0.018491392135620118,
333
+ 0.018479103088378905,
334
+ 0.01906380844116211,
335
+ 0.0190248966217041,
336
+ 0.01938739204406738,
337
+ 0.01926655960083008,
338
+ 0.019162111282348633,
339
+ 0.019219455718994142,
340
+ 0.019594240188598632,
341
+ 0.01902694320678711,
342
+ 0.01904640007019043,
343
+ 0.019334144592285156,
344
+ 0.019056640625,
345
+ 0.019389440536499023,
346
+ 0.018969600677490234,
347
+ 0.018962432861328125,
348
+ 0.018964479446411133,
349
+ 0.018898944854736328,
350
+ 0.018923519134521484,
351
+ 0.018907136917114258,
352
+ 0.018974720001220705,
353
+ 0.018469888687133788,
354
+ 0.018412544250488282,
355
+ 0.019042303085327148,
356
+ 0.01861529541015625,
357
+ 0.018504703521728515,
358
+ 0.018954240798950195,
359
+ 0.018982912063598634,
360
+ 0.019074047088623047,
361
+ 0.018984960556030273,
362
+ 0.01842790412902832,
363
+ 0.018720767974853517,
364
+ 0.019171327590942384,
365
+ 0.01920921516418457,
366
+ 0.019170303344726563,
367
+ 0.019086336135864256,
368
+ 0.019143680572509765,
369
+ 0.019204095840454103,
370
+ 0.019139583587646485,
371
+ 0.01920204734802246,
372
+ 0.01908940887451172,
373
+ 0.019159040451049804,
374
+ 0.019186687469482423,
375
+ 0.02123263931274414,
376
+ 0.021794815063476563,
377
+ 0.019360767364501954,
378
+ 0.019105791091918945,
379
+ 0.019072000503540038,
380
+ 0.01907302474975586,
381
+ 0.018535423278808593,
382
+ 0.018584575653076172,
383
+ 0.01861324882507324,
384
+ 0.01857535934448242,
385
+ 0.018531328201293946,
386
+ 0.018514944076538087,
387
+ 0.01856716728210449,
388
+ 0.018538496017456055,
389
+ 0.018493440628051756,
390
+ 0.018537471771240235,
391
+ 0.01901670455932617,
392
+ 0.01862451171875,
393
+ 0.018557952880859374,
394
+ 0.01863987159729004,
395
+ 0.018521087646484375,
396
+ 0.018588672637939452,
397
+ 0.018557952880859374,
398
+ 0.018569215774536133,
399
+ 0.018505727767944336,
400
+ 0.018534400939941405,
401
+ 0.018551807403564453,
402
+ 0.018544639587402344,
403
+ 0.01856716728210449,
404
+ 0.018532352447509767,
405
+ 0.018519039154052733,
406
+ 0.018578432083129884,
407
+ 0.018497535705566406,
408
+ 0.018534400939941405,
409
+ 0.018543615341186523,
410
+ 0.01843609619140625,
411
+ 0.018526208877563476,
412
+ 0.018556928634643553,
413
+ 0.01847500801086426,
414
+ 0.018485248565673826,
415
+ 0.018499584197998048,
416
+ 0.018478080749511717,
417
+ 0.01848422431945801,
418
+ 0.018537471771240235,
419
+ 0.0184770565032959,
420
+ 0.018504703521728515,
421
+ 0.018485248565673826,
422
+ 0.0184586238861084,
423
+ 0.018510847091674804,
424
+ 0.018506752014160157,
425
+ 0.01848422431945801,
426
+ 0.018485248565673826,
427
+ 0.018503679275512695,
428
+ 0.018529279708862305,
429
+ 0.018465791702270508,
430
+ 0.018494464874267577,
431
+ 0.018521087646484375,
432
+ 0.018508800506591795
433
+ ]
434
+ },
435
+ "throughput": {
436
+ "unit": "tokens/s",
437
+ "value": 52.82878862099807
438
+ },
439
+ "energy": null,
440
+ "efficiency": null
441
+ }
442
+ }
443
+ }
2024-06-27/commit=1de7dc7403b3b89ec421d43a8c9ee245211a61f6/backend.cache_implementation=null,backend.model=google/gemma-2b,backend.torch_compile=False/benchmark.log ADDED
File without changes
2024-06-27/commit=1de7dc7403b3b89ec421d43a8c9ee245211a61f6/backend.cache_implementation=null,backend.model=google/gemma-2b,backend.torch_compile=False/benchmark_config.json ADDED
@@ -0,0 +1,102 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "name": "pytorch_generate",
3
+ "backend": {
4
+ "name": "pytorch",
5
+ "version": "2.3.0+cu121",
6
+ "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
7
+ "task": "text-generation",
8
+ "library": "transformers",
9
+ "model": "google/gemma-2b",
10
+ "processor": "google/gemma-2b",
11
+ "device": "cuda",
12
+ "device_ids": "0",
13
+ "seed": 42,
14
+ "inter_op_num_threads": null,
15
+ "intra_op_num_threads": null,
16
+ "model_kwargs": {},
17
+ "processor_kwargs": {},
18
+ "hub_kwargs": {},
19
+ "no_weights": true,
20
+ "device_map": null,
21
+ "torch_dtype": "float16",
22
+ "eval_mode": true,
23
+ "to_bettertransformer": false,
24
+ "low_cpu_mem_usage": null,
25
+ "attn_implementation": null,
26
+ "cache_implementation": null,
27
+ "autocast_enabled": false,
28
+ "autocast_dtype": null,
29
+ "torch_compile": false,
30
+ "torch_compile_target": "forward",
31
+ "torch_compile_config": {
32
+ "backend": "inductor",
33
+ "mode": "reduce-overhead",
34
+ "fullgraph": true
35
+ },
36
+ "quantization_scheme": null,
37
+ "quantization_config": {},
38
+ "deepspeed_inference": false,
39
+ "deepspeed_inference_config": {},
40
+ "peft_type": null,
41
+ "peft_config": {}
42
+ },
43
+ "scenario": {
44
+ "name": "inference",
45
+ "_target_": "optimum_benchmark.scenarios.inference.scenario.InferenceScenario",
46
+ "iterations": 2,
47
+ "duration": 0,
48
+ "warmup_runs": 10,
49
+ "input_shapes": {
50
+ "batch_size": 1,
51
+ "num_choices": 2,
52
+ "sequence_length": 7
53
+ },
54
+ "new_tokens": null,
55
+ "latency": true,
56
+ "memory": true,
57
+ "energy": false,
58
+ "forward_kwargs": {},
59
+ "generate_kwargs": {
60
+ "max_new_tokens": 128,
61
+ "min_new_tokens": 128,
62
+ "do_sample": false
63
+ },
64
+ "call_kwargs": {}
65
+ },
66
+ "launcher": {
67
+ "name": "process",
68
+ "_target_": "optimum_benchmark.launchers.process.launcher.ProcessLauncher",
69
+ "device_isolation": true,
70
+ "device_isolation_action": "warn",
71
+ "start_method": "spawn"
72
+ },
73
+ "environment": {
74
+ "cpu": " AMD EPYC 7R32",
75
+ "cpu_count": 16,
76
+ "cpu_ram_mb": 66697.29792,
77
+ "system": "Linux",
78
+ "machine": "x86_64",
79
+ "platform": "Linux-5.10.218-208.862.amzn2.x86_64-x86_64-with-glibc2.29",
80
+ "processor": "x86_64",
81
+ "python_version": "3.8.10",
82
+ "gpu": [
83
+ "NVIDIA A10G"
84
+ ],
85
+ "gpu_count": 1,
86
+ "gpu_vram_mb": 24146608128,
87
+ "optimum_benchmark_version": "0.2.1",
88
+ "optimum_benchmark_commit": null,
89
+ "transformers_version": "4.42.0.dev0",
90
+ "transformers_commit": "1de7dc7403b3b89ec421d43a8c9ee245211a61f6",
91
+ "accelerate_version": "0.32.0.dev0",
92
+ "accelerate_commit": null,
93
+ "diffusers_version": null,
94
+ "diffusers_commit": null,
95
+ "optimum_version": "1.21.0.dev0",
96
+ "optimum_commit": null,
97
+ "timm_version": "0.9.16",
98
+ "timm_commit": null,
99
+ "peft_version": "0.11.2.dev0",
100
+ "peft_commit": null
101
+ }
102
+ }
2024-06-27/commit=1de7dc7403b3b89ec421d43a8c9ee245211a61f6/backend.cache_implementation=null,backend.model=google/gemma-2b,backend.torch_compile=False/benchmark_report.json ADDED
@@ -0,0 +1,339 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "prefill": {
3
+ "memory": {
4
+ "unit": "MB",
5
+ "max_ram": 1730.535424,
6
+ "max_global_vram": 6793.199616,
7
+ "max_process_vram": 0.0,
8
+ "max_reserved": 6146.752512,
9
+ "max_allocated": 5034.576896
10
+ },
11
+ "latency": {
12
+ "unit": "s",
13
+ "count": 2,
14
+ "total": 0.03975424003601074,
15
+ "mean": 0.01987712001800537,
16
+ "stdev": 0.0001449594497680666,
17
+ "p50": 0.01987712001800537,
18
+ "p90": 0.019993087577819823,
19
+ "p95": 0.020007583522796628,
20
+ "p99": 0.020019180278778075,
21
+ "values": [
22
+ 0.020022079467773436,
23
+ 0.019732160568237303
24
+ ]
25
+ },
26
+ "throughput": {
27
+ "unit": "tokens/s",
28
+ "value": 352.16369341530174
29
+ },
30
+ "energy": null,
31
+ "efficiency": null
32
+ },
33
+ "decode": {
34
+ "memory": {
35
+ "unit": "MB",
36
+ "max_ram": 1730.617344,
37
+ "max_global_vram": 6795.296768,
38
+ "max_process_vram": 0.0,
39
+ "max_reserved": 6148.849664,
40
+ "max_allocated": 5034.577408
41
+ },
42
+ "latency": {
43
+ "unit": "s",
44
+ "count": 2,
45
+ "total": 4.788974609375,
46
+ "mean": 2.3944873046875,
47
+ "stdev": 0.0072429199218748685,
48
+ "p50": 2.3944873046875,
49
+ "p90": 2.400281640625,
50
+ "p95": 2.401005932617187,
51
+ "p99": 2.4015853662109374,
52
+ "values": [
53
+ 2.401730224609375,
54
+ 2.387244384765625
55
+ ]
56
+ },
57
+ "throughput": {
58
+ "unit": "tokens/s",
59
+ "value": 53.03849377333597
60
+ },
61
+ "energy": null,
62
+ "efficiency": null
63
+ },
64
+ "per_token": {
65
+ "memory": null,
66
+ "latency": {
67
+ "unit": "s",
68
+ "count": 253,
69
+ "total": 4.789055486679078,
70
+ "mean": 0.018929073069877775,
71
+ "stdev": 0.0013167771977965525,
72
+ "p50": 0.01884774398803711,
73
+ "p90": 0.019217817306518555,
74
+ "p95": 0.019372851181030274,
75
+ "p99": 0.02100580284118652,
76
+ "values": [
77
+ 0.02079641532897949,
78
+ 0.018611200332641603,
79
+ 0.018375680923461913,
80
+ 0.018353151321411132,
81
+ 0.018342912673950194,
82
+ 0.018343936920166014,
83
+ 0.018356224060058594,
84
+ 0.018390016555786134,
85
+ 0.018348031997680665,
86
+ 0.018544639587402344,
87
+ 0.018551807403564453,
88
+ 0.01845452880859375,
89
+ 0.018354175567626953,
90
+ 0.01841971206665039,
91
+ 0.01840127944946289,
92
+ 0.01841049575805664,
93
+ 0.01855897521972656,
94
+ 0.01841868782043457,
95
+ 0.018280448913574218,
96
+ 0.01825279998779297,
97
+ 0.01836031913757324,
98
+ 0.01842278480529785,
99
+ 0.018415615081787108,
100
+ 0.018381824493408205,
101
+ 0.01839820861816406,
102
+ 0.018415615081787108,
103
+ 0.01842790412902832,
104
+ 0.01838489532470703,
105
+ 0.01844428825378418,
106
+ 0.018420736312866212,
107
+ 0.018380800247192384,
108
+ 0.018372608184814454,
109
+ 0.018363391876220703,
110
+ 0.01839923286437988,
111
+ 0.01866854476928711,
112
+ 0.0190382080078125,
113
+ 0.01900441551208496,
114
+ 0.019005439758300782,
115
+ 0.018971647262573242,
116
+ 0.018670591354370117,
117
+ 0.01882828712463379,
118
+ 0.018967552185058592,
119
+ 0.01904537582397461,
120
+ 0.019129344940185547,
121
+ 0.019141632080078123,
122
+ 0.018903039932250978,
123
+ 0.01900032043457031,
124
+ 0.018807807922363282,
125
+ 0.018580480575561522,
126
+ 0.018749439239501953,
127
+ 0.01884774398803711,
128
+ 0.018980863571166993,
129
+ 0.019308544158935546,
130
+ 0.0193832950592041,
131
+ 0.020512767791748047,
132
+ 0.02000383949279785,
133
+ 0.02027827262878418,
134
+ 0.01946112060546875,
135
+ 0.018569215774536133,
136
+ 0.018976768493652343,
137
+ 0.019105791091918945,
138
+ 0.019104768753051758,
139
+ 0.019573759078979493,
140
+ 0.019150848388671874,
141
+ 0.019331071853637697,
142
+ 0.019215360641479492,
143
+ 0.019154943466186524,
144
+ 0.019105791091918945,
145
+ 0.019133440017700197,
146
+ 0.018930688858032226,
147
+ 0.019144704818725586,
148
+ 0.019090431213378906,
149
+ 0.01927884864807129,
150
+ 0.019360767364501954,
151
+ 0.019122175216674805,
152
+ 0.01929523277282715,
153
+ 0.019107839584350587,
154
+ 0.019129344940185547,
155
+ 0.019186687469482423,
156
+ 0.019111936569213867,
157
+ 0.018946048736572265,
158
+ 0.018503679275512695,
159
+ 0.018525184631347655,
160
+ 0.018536447525024414,
161
+ 0.018531328201293946,
162
+ 0.01863987159729004,
163
+ 0.019104768753051758,
164
+ 0.01904025650024414,
165
+ 0.019072000503540038,
166
+ 0.018917375564575196,
167
+ 0.018526208877563476,
168
+ 0.019143680572509765,
169
+ 0.019104768753051758,
170
+ 0.019099647521972657,
171
+ 0.019170303344726563,
172
+ 0.019078144073486326,
173
+ 0.019152896881103516,
174
+ 0.019117055892944337,
175
+ 0.019171327590942384,
176
+ 0.019130367279052735,
177
+ 0.01921843147277832,
178
+ 0.01921023941040039,
179
+ 0.019147775650024415,
180
+ 0.01904844856262207,
181
+ 0.019100671768188478,
182
+ 0.019155967712402345,
183
+ 0.019325952529907226,
184
+ 0.019133440017700197,
185
+ 0.018563072204589845,
186
+ 0.018486272811889647,
187
+ 0.018852863311767578,
188
+ 0.019110912322998046,
189
+ 0.019195903778076173,
190
+ 0.019365888595581054,
191
+ 0.01924300765991211,
192
+ 0.019116031646728517,
193
+ 0.019165184020996092,
194
+ 0.019161088943481445,
195
+ 0.019087360382080077,
196
+ 0.01906892776489258,
197
+ 0.018592767715454102,
198
+ 0.019191808700561523,
199
+ 0.019112960815429687,
200
+ 0.019129344940185547,
201
+ 0.01859686470031738,
202
+ 0.018536447525024414,
203
+ 0.03857100677490234,
204
+ 0.01882828712463379,
205
+ 0.019087423324584962,
206
+ 0.018466751098632814,
207
+ 0.018811904907226562,
208
+ 0.018766847610473633,
209
+ 0.018877439498901367,
210
+ 0.018408447265625,
211
+ 0.018762752532958983,
212
+ 0.01899519920349121,
213
+ 0.018977792739868164,
214
+ 0.019107839584350587,
215
+ 0.019021823883056642,
216
+ 0.01900032043457031,
217
+ 0.018980863571166993,
218
+ 0.01845145606994629,
219
+ 0.01843609619140625,
220
+ 0.018495487213134765,
221
+ 0.018431999206542968,
222
+ 0.01865727996826172,
223
+ 0.018408447265625,
224
+ 0.018365440368652345,
225
+ 0.01843609619140625,
226
+ 0.018449407577514648,
227
+ 0.019135488510131835,
228
+ 0.018447359085083007,
229
+ 0.018491392135620118,
230
+ 0.018479103088378905,
231
+ 0.01906380844116211,
232
+ 0.0190248966217041,
233
+ 0.01938739204406738,
234
+ 0.01926655960083008,
235
+ 0.019162111282348633,
236
+ 0.019219455718994142,
237
+ 0.019594240188598632,
238
+ 0.01902694320678711,
239
+ 0.01904640007019043,
240
+ 0.019334144592285156,
241
+ 0.019056640625,
242
+ 0.019389440536499023,
243
+ 0.018969600677490234,
244
+ 0.018962432861328125,
245
+ 0.018964479446411133,
246
+ 0.018898944854736328,
247
+ 0.018923519134521484,
248
+ 0.018907136917114258,
249
+ 0.018974720001220705,
250
+ 0.018469888687133788,
251
+ 0.018412544250488282,
252
+ 0.019042303085327148,
253
+ 0.01861529541015625,
254
+ 0.018504703521728515,
255
+ 0.018954240798950195,
256
+ 0.018982912063598634,
257
+ 0.019074047088623047,
258
+ 0.018984960556030273,
259
+ 0.01842790412902832,
260
+ 0.018720767974853517,
261
+ 0.019171327590942384,
262
+ 0.01920921516418457,
263
+ 0.019170303344726563,
264
+ 0.019086336135864256,
265
+ 0.019143680572509765,
266
+ 0.019204095840454103,
267
+ 0.019139583587646485,
268
+ 0.01920204734802246,
269
+ 0.01908940887451172,
270
+ 0.019159040451049804,
271
+ 0.019186687469482423,
272
+ 0.02123263931274414,
273
+ 0.021794815063476563,
274
+ 0.019360767364501954,
275
+ 0.019105791091918945,
276
+ 0.019072000503540038,
277
+ 0.01907302474975586,
278
+ 0.018535423278808593,
279
+ 0.018584575653076172,
280
+ 0.01861324882507324,
281
+ 0.01857535934448242,
282
+ 0.018531328201293946,
283
+ 0.018514944076538087,
284
+ 0.01856716728210449,
285
+ 0.018538496017456055,
286
+ 0.018493440628051756,
287
+ 0.018537471771240235,
288
+ 0.01901670455932617,
289
+ 0.01862451171875,
290
+ 0.018557952880859374,
291
+ 0.01863987159729004,
292
+ 0.018521087646484375,
293
+ 0.018588672637939452,
294
+ 0.018557952880859374,
295
+ 0.018569215774536133,
296
+ 0.018505727767944336,
297
+ 0.018534400939941405,
298
+ 0.018551807403564453,
299
+ 0.018544639587402344,
300
+ 0.01856716728210449,
301
+ 0.018532352447509767,
302
+ 0.018519039154052733,
303
+ 0.018578432083129884,
304
+ 0.018497535705566406,
305
+ 0.018534400939941405,
306
+ 0.018543615341186523,
307
+ 0.01843609619140625,
308
+ 0.018526208877563476,
309
+ 0.018556928634643553,
310
+ 0.01847500801086426,
311
+ 0.018485248565673826,
312
+ 0.018499584197998048,
313
+ 0.018478080749511717,
314
+ 0.01848422431945801,
315
+ 0.018537471771240235,
316
+ 0.0184770565032959,
317
+ 0.018504703521728515,
318
+ 0.018485248565673826,
319
+ 0.0184586238861084,
320
+ 0.018510847091674804,
321
+ 0.018506752014160157,
322
+ 0.01848422431945801,
323
+ 0.018485248565673826,
324
+ 0.018503679275512695,
325
+ 0.018529279708862305,
326
+ 0.018465791702270508,
327
+ 0.018494464874267577,
328
+ 0.018521087646484375,
329
+ 0.018508800506591795
330
+ ]
331
+ },
332
+ "throughput": {
333
+ "unit": "tokens/s",
334
+ "value": 52.82878862099807
335
+ },
336
+ "energy": null,
337
+ "efficiency": null
338
+ }
339
+ }
2024-06-27/commit=1de7dc7403b3b89ec421d43a8c9ee245211a61f6/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": "1de7dc7403b3b89ec421d43a8c9ee245211a61f6",
4
+ "config": "backend.cache_implementation=null,backend.torch_compile=False",
5
+ "metrics": {
6
+ "prefill.latency.mean": 0.01987712001800537,
7
+ "prefill.throughput.value": 352.16369341530174,
8
+ "decode.latency.mean": 2.3944873046875,
9
+ "decode.throughput.value": 53.03849377333597,
10
+ "per_token.latency.mean": 0.018929073069877775,
11
+ "per_token.throughput.value": 52.82878862099807
12
+ }
13
+ }
2024-06-27/commit=1de7dc7403b3b89ec421d43a8c9ee245211a61f6/backend.cache_implementation=null,backend.model=google/gemma-2b,backend.torch_compile=True/.hydra/config.yaml ADDED
@@ -0,0 +1,91 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ name: pytorch_generate
2
+ backend:
3
+ name: pytorch
4
+ version: 2.3.0+cu121
5
+ _target_: optimum_benchmark.backends.pytorch.backend.PyTorchBackend
6
+ task: null
7
+ library: null
8
+ model: google/gemma-2b
9
+ processor: null
10
+ device: cuda
11
+ device_ids: '0'
12
+ seed: 42
13
+ inter_op_num_threads: null
14
+ intra_op_num_threads: null
15
+ model_kwargs: {}
16
+ processor_kwargs: {}
17
+ hub_kwargs: {}
18
+ no_weights: true
19
+ device_map: null
20
+ torch_dtype: float16
21
+ eval_mode: true
22
+ to_bettertransformer: false
23
+ low_cpu_mem_usage: null
24
+ attn_implementation: null
25
+ cache_implementation: null
26
+ autocast_enabled: false
27
+ autocast_dtype: null
28
+ torch_compile: true
29
+ torch_compile_target: forward
30
+ torch_compile_config:
31
+ backend: inductor
32
+ mode: reduce-overhead
33
+ fullgraph: true
34
+ quantization_scheme: null
35
+ quantization_config: {}
36
+ deepspeed_inference: false
37
+ deepspeed_inference_config: {}
38
+ peft_type: null
39
+ peft_config: {}
40
+ scenario:
41
+ name: inference
42
+ _target_: optimum_benchmark.scenarios.inference.scenario.InferenceScenario
43
+ iterations: 2
44
+ duration: 0
45
+ warmup_runs: 10
46
+ input_shapes:
47
+ batch_size: 1
48
+ sequence_length: 7
49
+ new_tokens: null
50
+ latency: true
51
+ memory: true
52
+ energy: false
53
+ forward_kwargs: {}
54
+ generate_kwargs:
55
+ max_new_tokens: 128
56
+ min_new_tokens: 128
57
+ do_sample: false
58
+ call_kwargs: {}
59
+ launcher:
60
+ name: process
61
+ _target_: optimum_benchmark.launchers.process.launcher.ProcessLauncher
62
+ device_isolation: true
63
+ device_isolation_action: warn
64
+ start_method: spawn
65
+ environment:
66
+ cpu: ' AMD EPYC 7R32'
67
+ cpu_count: 16
68
+ cpu_ram_mb: 66697.29792
69
+ system: Linux
70
+ machine: x86_64
71
+ platform: Linux-5.10.218-208.862.amzn2.x86_64-x86_64-with-glibc2.29
72
+ processor: x86_64
73
+ python_version: 3.8.10
74
+ gpu:
75
+ - NVIDIA A10G
76
+ gpu_count: 1
77
+ gpu_vram_mb: 24146608128
78
+ optimum_benchmark_version: 0.2.1
79
+ optimum_benchmark_commit: null
80
+ transformers_version: 4.42.0.dev0
81
+ transformers_commit: 1de7dc7403b3b89ec421d43a8c9ee245211a61f6
82
+ accelerate_version: 0.32.0.dev0
83
+ accelerate_commit: null
84
+ diffusers_version: null
85
+ diffusers_commit: null
86
+ optimum_version: 1.21.0.dev0
87
+ optimum_commit: null
88
+ timm_version: 0.9.16
89
+ timm_commit: null
90
+ peft_version: 0.11.2.dev0
91
+ peft_commit: null
2024-06-27/commit=1de7dc7403b3b89ec421d43a8c9ee245211a61f6/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/tmpnqjysp93/commit=1de7dc7403b3b89ec421d43a8c9ee245211a61f6/${hydra.job.override_dirname}
4
+ sweep:
5
+ dir: _benchmark/tmpnqjysp93/commit=1de7dc7403b3b89ec421d43a8c9ee245211a61f6
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
+ $HYDRA_CONFIG_GROUPS
62
+
63
+
64
+ Use ''--cfg hydra'' to Show the Hydra config.
65
+
66
+ '
67
+ hydra_help: ???
68
+ hydra_logging:
69
+ version: 1
70
+ root:
71
+ level: ERROR
72
+ disable_existing_loggers: true
73
+ job_logging:
74
+ version: 1
75
+ root:
76
+ level: ERROR
77
+ disable_existing_loggers: true
78
+ env: {}
79
+ mode: MULTIRUN
80
+ searchpath: []
81
+ callbacks: {}
82
+ output_subdir: .hydra
83
+ overrides:
84
+ hydra:
85
+ - hydra/job_logging=disabled
86
+ - hydra/hydra_logging=disabled
87
+ - hydra.sweep.dir=_benchmark/tmpnqjysp93/commit\=1de7dc7403b3b89ec421d43a8c9ee245211a61f6
88
+ - hydra.run.dir=_benchmark/tmpnqjysp93/commit\=1de7dc7403b3b89ec421d43a8c9ee245211a61f6/${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/tmpnqjysp93/commit=1de7dc7403b3b89ec421d43a8c9ee245211a61f6/backend.cache_implementation=null,backend.model=google/gemma-2b,backend.torch_compile=True
128
+ choices:
129
+ backend: pytorch
130
+ launcher: process
131
+ scenario: inference
132
+ hydra/env: default
133
+ hydra/callbacks: null
134
+ hydra/job_logging: disabled
135
+ hydra/hydra_logging: disabled
136
+ hydra/hydra_help: default
137
+ hydra/help: default
138
+ hydra/sweeper: basic
139
+ hydra/launcher: basic
140
+ hydra/output: default
141
+ verbose: false
2024-06-27/commit=1de7dc7403b3b89ec421d43a8c9ee245211a61f6/backend.cache_implementation=null,backend.model=google/gemma-2b,backend.torch_compile=True/.hydra/overrides.yaml ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ - backend.model=google/gemma-2b
2
+ - backend.cache_implementation=null
3
+ - backend.torch_compile=True
2024-06-27/commit=1de7dc7403b3b89ec421d43a8c9ee245211a61f6/backend.cache_implementation=null,backend.model=google/gemma-2b,backend.torch_compile=True/benchmark.log ADDED
@@ -0,0 +1 @@
 
 
1
+ [ISOLATED-PROCESS][2024-06-27 02:34:09,106][process][ERROR] - + Sending traceback to main process
2024-06-27/commit=1de7dc7403b3b89ec421d43a8c9ee245211a61f6/backend.cache_implementation=null,backend.model=google/gemma-2b,backend.torch_compile=True/benchmark_config.json ADDED
@@ -0,0 +1,102 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "name": "pytorch_generate",
3
+ "backend": {
4
+ "name": "pytorch",
5
+ "version": "2.3.0+cu121",
6
+ "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
7
+ "task": "text-generation",
8
+ "library": "transformers",
9
+ "model": "google/gemma-2b",
10
+ "processor": "google/gemma-2b",
11
+ "device": "cuda",
12
+ "device_ids": "0",
13
+ "seed": 42,
14
+ "inter_op_num_threads": null,
15
+ "intra_op_num_threads": null,
16
+ "model_kwargs": {},
17
+ "processor_kwargs": {},
18
+ "hub_kwargs": {},
19
+ "no_weights": true,
20
+ "device_map": null,
21
+ "torch_dtype": "float16",
22
+ "eval_mode": true,
23
+ "to_bettertransformer": false,
24
+ "low_cpu_mem_usage": null,
25
+ "attn_implementation": null,
26
+ "cache_implementation": null,
27
+ "autocast_enabled": false,
28
+ "autocast_dtype": null,
29
+ "torch_compile": true,
30
+ "torch_compile_target": "forward",
31
+ "torch_compile_config": {
32
+ "backend": "inductor",
33
+ "mode": "reduce-overhead",
34
+ "fullgraph": true
35
+ },
36
+ "quantization_scheme": null,
37
+ "quantization_config": {},
38
+ "deepspeed_inference": false,
39
+ "deepspeed_inference_config": {},
40
+ "peft_type": null,
41
+ "peft_config": {}
42
+ },
43
+ "scenario": {
44
+ "name": "inference",
45
+ "_target_": "optimum_benchmark.scenarios.inference.scenario.InferenceScenario",
46
+ "iterations": 2,
47
+ "duration": 0,
48
+ "warmup_runs": 10,
49
+ "input_shapes": {
50
+ "batch_size": 1,
51
+ "num_choices": 2,
52
+ "sequence_length": 7
53
+ },
54
+ "new_tokens": null,
55
+ "latency": true,
56
+ "memory": true,
57
+ "energy": false,
58
+ "forward_kwargs": {},
59
+ "generate_kwargs": {
60
+ "max_new_tokens": 128,
61
+ "min_new_tokens": 128,
62
+ "do_sample": false
63
+ },
64
+ "call_kwargs": {}
65
+ },
66
+ "launcher": {
67
+ "name": "process",
68
+ "_target_": "optimum_benchmark.launchers.process.launcher.ProcessLauncher",
69
+ "device_isolation": true,
70
+ "device_isolation_action": "warn",
71
+ "start_method": "spawn"
72
+ },
73
+ "environment": {
74
+ "cpu": " AMD EPYC 7R32",
75
+ "cpu_count": 16,
76
+ "cpu_ram_mb": 66697.29792,
77
+ "system": "Linux",
78
+ "machine": "x86_64",
79
+ "platform": "Linux-5.10.218-208.862.amzn2.x86_64-x86_64-with-glibc2.29",
80
+ "processor": "x86_64",
81
+ "python_version": "3.8.10",
82
+ "gpu": [
83
+ "NVIDIA A10G"
84
+ ],
85
+ "gpu_count": 1,
86
+ "gpu_vram_mb": 24146608128,
87
+ "optimum_benchmark_version": "0.2.1",
88
+ "optimum_benchmark_commit": null,
89
+ "transformers_version": "4.42.0.dev0",
90
+ "transformers_commit": "1de7dc7403b3b89ec421d43a8c9ee245211a61f6",
91
+ "accelerate_version": "0.32.0.dev0",
92
+ "accelerate_commit": null,
93
+ "diffusers_version": null,
94
+ "diffusers_commit": null,
95
+ "optimum_version": "1.21.0.dev0",
96
+ "optimum_commit": null,
97
+ "timm_version": "0.9.16",
98
+ "timm_commit": null,
99
+ "peft_version": "0.11.2.dev0",
100
+ "peft_commit": null
101
+ }
102
+ }
2024-06-27/commit=1de7dc7403b3b89ec421d43a8c9ee245211a61f6/backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=False/.hydra/config.yaml ADDED
@@ -0,0 +1,91 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ name: pytorch_generate
2
+ backend:
3
+ name: pytorch
4
+ version: 2.3.0+cu121
5
+ _target_: optimum_benchmark.backends.pytorch.backend.PyTorchBackend
6
+ task: null
7
+ library: null
8
+ model: google/gemma-2b
9
+ processor: null
10
+ device: cuda
11
+ device_ids: '0'
12
+ seed: 42
13
+ inter_op_num_threads: null
14
+ intra_op_num_threads: null
15
+ model_kwargs: {}
16
+ processor_kwargs: {}
17
+ hub_kwargs: {}
18
+ no_weights: true
19
+ device_map: null
20
+ torch_dtype: float16
21
+ eval_mode: true
22
+ to_bettertransformer: false
23
+ low_cpu_mem_usage: null
24
+ attn_implementation: null
25
+ cache_implementation: static
26
+ autocast_enabled: false
27
+ autocast_dtype: null
28
+ torch_compile: false
29
+ torch_compile_target: forward
30
+ torch_compile_config:
31
+ backend: inductor
32
+ mode: reduce-overhead
33
+ fullgraph: true
34
+ quantization_scheme: null
35
+ quantization_config: {}
36
+ deepspeed_inference: false
37
+ deepspeed_inference_config: {}
38
+ peft_type: null
39
+ peft_config: {}
40
+ scenario:
41
+ name: inference
42
+ _target_: optimum_benchmark.scenarios.inference.scenario.InferenceScenario
43
+ iterations: 2
44
+ duration: 0
45
+ warmup_runs: 10
46
+ input_shapes:
47
+ batch_size: 1
48
+ sequence_length: 7
49
+ new_tokens: null
50
+ latency: true
51
+ memory: true
52
+ energy: false
53
+ forward_kwargs: {}
54
+ generate_kwargs:
55
+ max_new_tokens: 128
56
+ min_new_tokens: 128
57
+ do_sample: false
58
+ call_kwargs: {}
59
+ launcher:
60
+ name: process
61
+ _target_: optimum_benchmark.launchers.process.launcher.ProcessLauncher
62
+ device_isolation: true
63
+ device_isolation_action: warn
64
+ start_method: spawn
65
+ environment:
66
+ cpu: ' AMD EPYC 7R32'
67
+ cpu_count: 16
68
+ cpu_ram_mb: 66697.29792
69
+ system: Linux
70
+ machine: x86_64
71
+ platform: Linux-5.10.218-208.862.amzn2.x86_64-x86_64-with-glibc2.29
72
+ processor: x86_64
73
+ python_version: 3.8.10
74
+ gpu:
75
+ - NVIDIA A10G
76
+ gpu_count: 1
77
+ gpu_vram_mb: 24146608128
78
+ optimum_benchmark_version: 0.2.1
79
+ optimum_benchmark_commit: null
80
+ transformers_version: 4.42.0.dev0
81
+ transformers_commit: 1de7dc7403b3b89ec421d43a8c9ee245211a61f6
82
+ accelerate_version: 0.32.0.dev0
83
+ accelerate_commit: null
84
+ diffusers_version: null
85
+ diffusers_commit: null
86
+ optimum_version: 1.21.0.dev0
87
+ optimum_commit: null
88
+ timm_version: 0.9.16
89
+ timm_commit: null
90
+ peft_version: 0.11.2.dev0
91
+ peft_commit: null
2024-06-27/commit=1de7dc7403b3b89ec421d43a8c9ee245211a61f6/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/tmpnqjysp93/commit=1de7dc7403b3b89ec421d43a8c9ee245211a61f6/${hydra.job.override_dirname}
4
+ sweep:
5
+ dir: _benchmark/tmpnqjysp93/commit=1de7dc7403b3b89ec421d43a8c9ee245211a61f6
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
+ $HYDRA_CONFIG_GROUPS
62
+
63
+
64
+ Use ''--cfg hydra'' to Show the Hydra config.
65
+
66
+ '
67
+ hydra_help: ???
68
+ hydra_logging:
69
+ version: 1
70
+ root:
71
+ level: ERROR
72
+ disable_existing_loggers: true
73
+ job_logging:
74
+ version: 1
75
+ root:
76
+ level: ERROR
77
+ disable_existing_loggers: true
78
+ env: {}
79
+ mode: MULTIRUN
80
+ searchpath: []
81
+ callbacks: {}
82
+ output_subdir: .hydra
83
+ overrides:
84
+ hydra:
85
+ - hydra/job_logging=disabled
86
+ - hydra/hydra_logging=disabled
87
+ - hydra.sweep.dir=_benchmark/tmpnqjysp93/commit\=1de7dc7403b3b89ec421d43a8c9ee245211a61f6
88
+ - hydra.run.dir=_benchmark/tmpnqjysp93/commit\=1de7dc7403b3b89ec421d43a8c9ee245211a61f6/${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/tmpnqjysp93/commit=1de7dc7403b3b89ec421d43a8c9ee245211a61f6/backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=False
128
+ choices:
129
+ backend: pytorch
130
+ launcher: process
131
+ scenario: inference
132
+ hydra/env: default
133
+ hydra/callbacks: null
134
+ hydra/job_logging: disabled
135
+ hydra/hydra_logging: disabled
136
+ hydra/hydra_help: default
137
+ hydra/help: default
138
+ hydra/sweeper: basic
139
+ hydra/launcher: basic
140
+ hydra/output: default
141
+ verbose: false
2024-06-27/commit=1de7dc7403b3b89ec421d43a8c9ee245211a61f6/backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=False/.hydra/overrides.yaml ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ - backend.model=google/gemma-2b
2
+ - backend.cache_implementation=static
3
+ - backend.torch_compile=False
2024-06-27/commit=1de7dc7403b3b89ec421d43a8c9ee245211a61f6/backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=False/benchmark.json ADDED
@@ -0,0 +1,443 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "config": {
3
+ "name": "pytorch_generate",
4
+ "backend": {
5
+ "name": "pytorch",
6
+ "version": "2.3.0+cu121",
7
+ "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
8
+ "task": "text-generation",
9
+ "library": "transformers",
10
+ "model": "google/gemma-2b",
11
+ "processor": "google/gemma-2b",
12
+ "device": "cuda",
13
+ "device_ids": "0",
14
+ "seed": 42,
15
+ "inter_op_num_threads": null,
16
+ "intra_op_num_threads": null,
17
+ "model_kwargs": {},
18
+ "processor_kwargs": {},
19
+ "hub_kwargs": {},
20
+ "no_weights": true,
21
+ "device_map": null,
22
+ "torch_dtype": "float16",
23
+ "eval_mode": true,
24
+ "to_bettertransformer": false,
25
+ "low_cpu_mem_usage": null,
26
+ "attn_implementation": null,
27
+ "cache_implementation": "static",
28
+ "autocast_enabled": false,
29
+ "autocast_dtype": null,
30
+ "torch_compile": false,
31
+ "torch_compile_target": "forward",
32
+ "torch_compile_config": {
33
+ "backend": "inductor",
34
+ "mode": "reduce-overhead",
35
+ "fullgraph": true
36
+ },
37
+ "quantization_scheme": null,
38
+ "quantization_config": {},
39
+ "deepspeed_inference": false,
40
+ "deepspeed_inference_config": {},
41
+ "peft_type": null,
42
+ "peft_config": {}
43
+ },
44
+ "scenario": {
45
+ "name": "inference",
46
+ "_target_": "optimum_benchmark.scenarios.inference.scenario.InferenceScenario",
47
+ "iterations": 2,
48
+ "duration": 0,
49
+ "warmup_runs": 10,
50
+ "input_shapes": {
51
+ "batch_size": 1,
52
+ "num_choices": 2,
53
+ "sequence_length": 7
54
+ },
55
+ "new_tokens": null,
56
+ "latency": true,
57
+ "memory": true,
58
+ "energy": false,
59
+ "forward_kwargs": {},
60
+ "generate_kwargs": {
61
+ "max_new_tokens": 128,
62
+ "min_new_tokens": 128,
63
+ "do_sample": false
64
+ },
65
+ "call_kwargs": {}
66
+ },
67
+ "launcher": {
68
+ "name": "process",
69
+ "_target_": "optimum_benchmark.launchers.process.launcher.ProcessLauncher",
70
+ "device_isolation": true,
71
+ "device_isolation_action": "warn",
72
+ "start_method": "spawn"
73
+ },
74
+ "environment": {
75
+ "cpu": " AMD EPYC 7R32",
76
+ "cpu_count": 16,
77
+ "cpu_ram_mb": 66697.29792,
78
+ "system": "Linux",
79
+ "machine": "x86_64",
80
+ "platform": "Linux-5.10.218-208.862.amzn2.x86_64-x86_64-with-glibc2.29",
81
+ "processor": "x86_64",
82
+ "python_version": "3.8.10",
83
+ "gpu": [
84
+ "NVIDIA A10G"
85
+ ],
86
+ "gpu_count": 1,
87
+ "gpu_vram_mb": 24146608128,
88
+ "optimum_benchmark_version": "0.2.1",
89
+ "optimum_benchmark_commit": null,
90
+ "transformers_version": "4.42.0.dev0",
91
+ "transformers_commit": "1de7dc7403b3b89ec421d43a8c9ee245211a61f6",
92
+ "accelerate_version": "0.32.0.dev0",
93
+ "accelerate_commit": null,
94
+ "diffusers_version": null,
95
+ "diffusers_commit": null,
96
+ "optimum_version": "1.21.0.dev0",
97
+ "optimum_commit": null,
98
+ "timm_version": "0.9.16",
99
+ "timm_commit": null,
100
+ "peft_version": "0.11.2.dev0",
101
+ "peft_commit": null
102
+ }
103
+ },
104
+ "report": {
105
+ "prefill": {
106
+ "memory": {
107
+ "unit": "MB",
108
+ "max_ram": 1764.80256,
109
+ "max_global_vram": 6793.199616,
110
+ "max_process_vram": 0.0,
111
+ "max_reserved": 6146.752512,
112
+ "max_allocated": 5036.936192
113
+ },
114
+ "latency": {
115
+ "unit": "s",
116
+ "count": 2,
117
+ "total": 0.04531289672851563,
118
+ "mean": 0.022656448364257814,
119
+ "stdev": 0.00025440025329589826,
120
+ "p50": 0.022656448364257814,
121
+ "p90": 0.022859968566894533,
122
+ "p95": 0.02288540859222412,
123
+ "p99": 0.022905760612487794,
124
+ "values": [
125
+ 0.02291084861755371,
126
+ 0.022402048110961914
127
+ ]
128
+ },
129
+ "throughput": {
130
+ "unit": "tokens/s",
131
+ "value": 308.96281215210263
132
+ },
133
+ "energy": null,
134
+ "efficiency": null
135
+ },
136
+ "decode": {
137
+ "memory": {
138
+ "unit": "MB",
139
+ "max_ram": 1764.82304,
140
+ "max_global_vram": 6793.199616,
141
+ "max_process_vram": 0.0,
142
+ "max_reserved": 6146.752512,
143
+ "max_allocated": 5036.936704
144
+ },
145
+ "latency": {
146
+ "unit": "s",
147
+ "count": 2,
148
+ "total": 5.30516650390625,
149
+ "mean": 2.652583251953125,
150
+ "stdev": 0.005426025390625089,
151
+ "p50": 2.652583251953125,
152
+ "p90": 2.656924072265625,
153
+ "p95": 2.6574666748046876,
154
+ "p99": 2.6579007568359376,
155
+ "values": [
156
+ 2.65800927734375,
157
+ 2.6471572265625
158
+ ]
159
+ },
160
+ "throughput": {
161
+ "unit": "tokens/s",
162
+ "value": 47.877856390176845
163
+ },
164
+ "energy": null,
165
+ "efficiency": null
166
+ },
167
+ "per_token": {
168
+ "memory": null,
169
+ "latency": {
170
+ "unit": "s",
171
+ "count": 253,
172
+ "total": 5.306186786651615,
173
+ "mean": 0.020973070302970798,
174
+ "stdev": 0.0014580768080943384,
175
+ "p50": 0.02063052749633789,
176
+ "p90": 0.021450136947631836,
177
+ "p95": 0.02177372169494629,
178
+ "p99": 0.022235545425415035,
179
+ "values": [
180
+ 0.02268262481689453,
181
+ 0.02208153533935547,
182
+ 0.021651456832885742,
183
+ 0.021392383575439454,
184
+ 0.022079488754272462,
185
+ 0.022304767608642577,
186
+ 0.0219238395690918,
187
+ 0.02165247917175293,
188
+ 0.021702655792236326,
189
+ 0.021378047943115236,
190
+ 0.021403648376464843,
191
+ 0.02102681541442871,
192
+ 0.021575679779052736,
193
+ 0.02150092887878418,
194
+ 0.022171648025512695,
195
+ 0.02187468719482422,
196
+ 0.021182464599609374,
197
+ 0.02122956848144531,
198
+ 0.021190656661987304,
199
+ 0.021013504028320314,
200
+ 0.020966400146484376,
201
+ 0.02145382308959961,
202
+ 0.02108415985107422,
203
+ 0.020943872451782225,
204
+ 0.021178367614746094,
205
+ 0.021522432327270507,
206
+ 0.021526527404785157,
207
+ 0.02123263931274414,
208
+ 0.0216627197265625,
209
+ 0.021810176849365235,
210
+ 0.021576704025268553,
211
+ 0.0210565128326416,
212
+ 0.021551103591918946,
213
+ 0.020941823959350587,
214
+ 0.021204992294311522,
215
+ 0.021098495483398438,
216
+ 0.021769216537475586,
217
+ 0.02170675277709961,
218
+ 0.02143436813354492,
219
+ 0.02108415985107422,
220
+ 0.020864000320434572,
221
+ 0.020898815155029296,
222
+ 0.021246976852416992,
223
+ 0.021780479431152345,
224
+ 0.02143539237976074,
225
+ 0.02088755226135254,
226
+ 0.020616191864013672,
227
+ 0.02060492706298828,
228
+ 0.020610048294067384,
229
+ 0.020570112228393556,
230
+ 0.020975616455078124,
231
+ 0.021110784530639647,
232
+ 0.020580352783203124,
233
+ 0.020560895919799805,
234
+ 0.020616191864013672,
235
+ 0.020555776596069338,
236
+ 0.020568063735961914,
237
+ 0.020577280044555665,
238
+ 0.02065715217590332,
239
+ 0.020563968658447264,
240
+ 0.020571136474609376,
241
+ 0.020595712661743162,
242
+ 0.02062131118774414,
243
+ 0.020559871673583984,
244
+ 0.020602880477905275,
245
+ 0.02059775924682617,
246
+ 0.02065100860595703,
247
+ 0.020571136474609376,
248
+ 0.020612096786499022,
249
+ 0.020580352783203124,
250
+ 0.020570112228393556,
251
+ 0.020592639923095703,
252
+ 0.02059878349304199,
253
+ 0.02058956718444824,
254
+ 0.02065715217590332,
255
+ 0.02061516761779785,
256
+ 0.020558847427368163,
257
+ 0.020592639923095703,
258
+ 0.020582399368286132,
259
+ 0.02061311912536621,
260
+ 0.02059775924682617,
261
+ 0.020594688415527345,
262
+ 0.020545536041259766,
263
+ 0.020541439056396483,
264
+ 0.02059878349304199,
265
+ 0.020543487548828124,
266
+ 0.02059878349304199,
267
+ 0.020586496353149415,
268
+ 0.02063871955871582,
269
+ 0.0206561279296875,
270
+ 0.020632575988769532,
271
+ 0.02060492706298828,
272
+ 0.020617216110229493,
273
+ 0.020569087982177735,
274
+ 0.020603904724121092,
275
+ 0.02064691162109375,
276
+ 0.020626432418823244,
277
+ 0.020594688415527345,
278
+ 0.02068889617919922,
279
+ 0.021180416107177736,
280
+ 0.020739072799682616,
281
+ 0.020592639923095703,
282
+ 0.020567039489746093,
283
+ 0.02057318305969238,
284
+ 0.020610048294067384,
285
+ 0.02062848091125488,
286
+ 0.020579328536987306,
287
+ 0.020792320251464845,
288
+ 0.020583423614501953,
289
+ 0.020599807739257812,
290
+ 0.020601856231689454,
291
+ 0.020612096786499022,
292
+ 0.020666368484497072,
293
+ 0.02060492706298828,
294
+ 0.02061414337158203,
295
+ 0.020594688415527345,
296
+ 0.020601856231689454,
297
+ 0.020576255798339844,
298
+ 0.020607999801635742,
299
+ 0.02066227149963379,
300
+ 0.02064793586730957,
301
+ 0.020607999801635742,
302
+ 0.020585472106933594,
303
+ 0.020544511795043945,
304
+ 0.020570112228393556,
305
+ 0.020535295486450195,
306
+ 0.04320153427124023,
307
+ 0.02062131118774414,
308
+ 0.020594688415527345,
309
+ 0.020588544845581053,
310
+ 0.020563968658447264,
311
+ 0.020566015243530272,
312
+ 0.020554752349853517,
313
+ 0.020579328536987306,
314
+ 0.020587520599365236,
315
+ 0.02060697555541992,
316
+ 0.020583423614501953,
317
+ 0.020585472106933594,
318
+ 0.020564992904663085,
319
+ 0.020579328536987306,
320
+ 0.020590591430664062,
321
+ 0.020975616455078124,
322
+ 0.020653055191040038,
323
+ 0.020632575988769532,
324
+ 0.020596736907958983,
325
+ 0.020610048294067384,
326
+ 0.020900863647460938,
327
+ 0.020966400146484376,
328
+ 0.020632575988769532,
329
+ 0.020625408172607423,
330
+ 0.02059775924682617,
331
+ 0.02057318305969238,
332
+ 0.020572160720825194,
333
+ 0.02064793586730957,
334
+ 0.020644863128662108,
335
+ 0.020611072540283205,
336
+ 0.02062950325012207,
337
+ 0.020570112228393556,
338
+ 0.020626432418823244,
339
+ 0.02058137512207031,
340
+ 0.02061516761779785,
341
+ 0.020579328536987306,
342
+ 0.020599807739257812,
343
+ 0.02064896011352539,
344
+ 0.02067865562438965,
345
+ 0.020601856231689454,
346
+ 0.02108006477355957,
347
+ 0.020753408432006838,
348
+ 0.02057318305969238,
349
+ 0.020559871673583984,
350
+ 0.020584447860717774,
351
+ 0.020556800842285155,
352
+ 0.020595712661743162,
353
+ 0.020544511795043945,
354
+ 0.02058137512207031,
355
+ 0.020556800842285155,
356
+ 0.020569087982177735,
357
+ 0.02058137512207031,
358
+ 0.020590591430664062,
359
+ 0.020743167877197266,
360
+ 0.021186559677124024,
361
+ 0.020619264602661135,
362
+ 0.02062335968017578,
363
+ 0.020625408172607423,
364
+ 0.02060492706298828,
365
+ 0.020568063735961914,
366
+ 0.020612096786499022,
367
+ 0.020571136474609376,
368
+ 0.02058137512207031,
369
+ 0.0206059513092041,
370
+ 0.020592639923095703,
371
+ 0.02063052749633789,
372
+ 0.020593664169311524,
373
+ 0.020617216110229493,
374
+ 0.02059878349304199,
375
+ 0.021283840179443358,
376
+ 0.022046720504760742,
377
+ 0.021840896606445313,
378
+ 0.021300224304199217,
379
+ 0.021203968048095705,
380
+ 0.021158912658691405,
381
+ 0.02122854423522949,
382
+ 0.021143552780151367,
383
+ 0.021133312225341795,
384
+ 0.021176319122314453,
385
+ 0.02120806312561035,
386
+ 0.02111692810058594,
387
+ 0.02109542465209961,
388
+ 0.021160959243774414,
389
+ 0.021038080215454103,
390
+ 0.02109542465209961,
391
+ 0.02126540756225586,
392
+ 0.021313535690307618,
393
+ 0.021105663299560547,
394
+ 0.02109644889831543,
395
+ 0.02124185562133789,
396
+ 0.021124095916748048,
397
+ 0.02127872085571289,
398
+ 0.021141504287719725,
399
+ 0.021174272537231444,
400
+ 0.0210831356048584,
401
+ 0.02102272033691406,
402
+ 0.021190656661987304,
403
+ 0.021146623611450196,
404
+ 0.02104422378540039,
405
+ 0.021196800231933592,
406
+ 0.021185535430908203,
407
+ 0.021141504287719725,
408
+ 0.021006336212158205,
409
+ 0.021210111618041993,
410
+ 0.0210513916015625,
411
+ 0.021176319122314453,
412
+ 0.021150720596313476,
413
+ 0.020719615936279297,
414
+ 0.02104729652404785,
415
+ 0.02104934310913086,
416
+ 0.021150720596313476,
417
+ 0.02110873603820801,
418
+ 0.021150720596313476,
419
+ 0.02108518409729004,
420
+ 0.02112512016296387,
421
+ 0.021086208343505858,
422
+ 0.021906431198120118,
423
+ 0.0210882568359375,
424
+ 0.020571136474609376,
425
+ 0.020561920166015626,
426
+ 0.020526079177856444,
427
+ 0.020601856231689454,
428
+ 0.020594688415527345,
429
+ 0.020596736907958983,
430
+ 0.020620288848876952,
431
+ 0.020563968658447264,
432
+ 0.0206080322265625
433
+ ]
434
+ },
435
+ "throughput": {
436
+ "unit": "tokens/s",
437
+ "value": 47.68019110002944
438
+ },
439
+ "energy": null,
440
+ "efficiency": null
441
+ }
442
+ }
443
+ }
2024-06-27/commit=1de7dc7403b3b89ec421d43a8c9ee245211a61f6/backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=False/benchmark.log ADDED
File without changes
2024-06-27/commit=1de7dc7403b3b89ec421d43a8c9ee245211a61f6/backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=False/benchmark_config.json ADDED
@@ -0,0 +1,102 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "name": "pytorch_generate",
3
+ "backend": {
4
+ "name": "pytorch",
5
+ "version": "2.3.0+cu121",
6
+ "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
7
+ "task": "text-generation",
8
+ "library": "transformers",
9
+ "model": "google/gemma-2b",
10
+ "processor": "google/gemma-2b",
11
+ "device": "cuda",
12
+ "device_ids": "0",
13
+ "seed": 42,
14
+ "inter_op_num_threads": null,
15
+ "intra_op_num_threads": null,
16
+ "model_kwargs": {},
17
+ "processor_kwargs": {},
18
+ "hub_kwargs": {},
19
+ "no_weights": true,
20
+ "device_map": null,
21
+ "torch_dtype": "float16",
22
+ "eval_mode": true,
23
+ "to_bettertransformer": false,
24
+ "low_cpu_mem_usage": null,
25
+ "attn_implementation": null,
26
+ "cache_implementation": "static",
27
+ "autocast_enabled": false,
28
+ "autocast_dtype": null,
29
+ "torch_compile": false,
30
+ "torch_compile_target": "forward",
31
+ "torch_compile_config": {
32
+ "backend": "inductor",
33
+ "mode": "reduce-overhead",
34
+ "fullgraph": true
35
+ },
36
+ "quantization_scheme": null,
37
+ "quantization_config": {},
38
+ "deepspeed_inference": false,
39
+ "deepspeed_inference_config": {},
40
+ "peft_type": null,
41
+ "peft_config": {}
42
+ },
43
+ "scenario": {
44
+ "name": "inference",
45
+ "_target_": "optimum_benchmark.scenarios.inference.scenario.InferenceScenario",
46
+ "iterations": 2,
47
+ "duration": 0,
48
+ "warmup_runs": 10,
49
+ "input_shapes": {
50
+ "batch_size": 1,
51
+ "num_choices": 2,
52
+ "sequence_length": 7
53
+ },
54
+ "new_tokens": null,
55
+ "latency": true,
56
+ "memory": true,
57
+ "energy": false,
58
+ "forward_kwargs": {},
59
+ "generate_kwargs": {
60
+ "max_new_tokens": 128,
61
+ "min_new_tokens": 128,
62
+ "do_sample": false
63
+ },
64
+ "call_kwargs": {}
65
+ },
66
+ "launcher": {
67
+ "name": "process",
68
+ "_target_": "optimum_benchmark.launchers.process.launcher.ProcessLauncher",
69
+ "device_isolation": true,
70
+ "device_isolation_action": "warn",
71
+ "start_method": "spawn"
72
+ },
73
+ "environment": {
74
+ "cpu": " AMD EPYC 7R32",
75
+ "cpu_count": 16,
76
+ "cpu_ram_mb": 66697.29792,
77
+ "system": "Linux",
78
+ "machine": "x86_64",
79
+ "platform": "Linux-5.10.218-208.862.amzn2.x86_64-x86_64-with-glibc2.29",
80
+ "processor": "x86_64",
81
+ "python_version": "3.8.10",
82
+ "gpu": [
83
+ "NVIDIA A10G"
84
+ ],
85
+ "gpu_count": 1,
86
+ "gpu_vram_mb": 24146608128,
87
+ "optimum_benchmark_version": "0.2.1",
88
+ "optimum_benchmark_commit": null,
89
+ "transformers_version": "4.42.0.dev0",
90
+ "transformers_commit": "1de7dc7403b3b89ec421d43a8c9ee245211a61f6",
91
+ "accelerate_version": "0.32.0.dev0",
92
+ "accelerate_commit": null,
93
+ "diffusers_version": null,
94
+ "diffusers_commit": null,
95
+ "optimum_version": "1.21.0.dev0",
96
+ "optimum_commit": null,
97
+ "timm_version": "0.9.16",
98
+ "timm_commit": null,
99
+ "peft_version": "0.11.2.dev0",
100
+ "peft_commit": null
101
+ }
102
+ }
2024-06-27/commit=1de7dc7403b3b89ec421d43a8c9ee245211a61f6/backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=False/benchmark_report.json ADDED
@@ -0,0 +1,339 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "prefill": {
3
+ "memory": {
4
+ "unit": "MB",
5
+ "max_ram": 1764.80256,
6
+ "max_global_vram": 6793.199616,
7
+ "max_process_vram": 0.0,
8
+ "max_reserved": 6146.752512,
9
+ "max_allocated": 5036.936192
10
+ },
11
+ "latency": {
12
+ "unit": "s",
13
+ "count": 2,
14
+ "total": 0.04531289672851563,
15
+ "mean": 0.022656448364257814,
16
+ "stdev": 0.00025440025329589826,
17
+ "p50": 0.022656448364257814,
18
+ "p90": 0.022859968566894533,
19
+ "p95": 0.02288540859222412,
20
+ "p99": 0.022905760612487794,
21
+ "values": [
22
+ 0.02291084861755371,
23
+ 0.022402048110961914
24
+ ]
25
+ },
26
+ "throughput": {
27
+ "unit": "tokens/s",
28
+ "value": 308.96281215210263
29
+ },
30
+ "energy": null,
31
+ "efficiency": null
32
+ },
33
+ "decode": {
34
+ "memory": {
35
+ "unit": "MB",
36
+ "max_ram": 1764.82304,
37
+ "max_global_vram": 6793.199616,
38
+ "max_process_vram": 0.0,
39
+ "max_reserved": 6146.752512,
40
+ "max_allocated": 5036.936704
41
+ },
42
+ "latency": {
43
+ "unit": "s",
44
+ "count": 2,
45
+ "total": 5.30516650390625,
46
+ "mean": 2.652583251953125,
47
+ "stdev": 0.005426025390625089,
48
+ "p50": 2.652583251953125,
49
+ "p90": 2.656924072265625,
50
+ "p95": 2.6574666748046876,
51
+ "p99": 2.6579007568359376,
52
+ "values": [
53
+ 2.65800927734375,
54
+ 2.6471572265625
55
+ ]
56
+ },
57
+ "throughput": {
58
+ "unit": "tokens/s",
59
+ "value": 47.877856390176845
60
+ },
61
+ "energy": null,
62
+ "efficiency": null
63
+ },
64
+ "per_token": {
65
+ "memory": null,
66
+ "latency": {
67
+ "unit": "s",
68
+ "count": 253,
69
+ "total": 5.306186786651615,
70
+ "mean": 0.020973070302970798,
71
+ "stdev": 0.0014580768080943384,
72
+ "p50": 0.02063052749633789,
73
+ "p90": 0.021450136947631836,
74
+ "p95": 0.02177372169494629,
75
+ "p99": 0.022235545425415035,
76
+ "values": [
77
+ 0.02268262481689453,
78
+ 0.02208153533935547,
79
+ 0.021651456832885742,
80
+ 0.021392383575439454,
81
+ 0.022079488754272462,
82
+ 0.022304767608642577,
83
+ 0.0219238395690918,
84
+ 0.02165247917175293,
85
+ 0.021702655792236326,
86
+ 0.021378047943115236,
87
+ 0.021403648376464843,
88
+ 0.02102681541442871,
89
+ 0.021575679779052736,
90
+ 0.02150092887878418,
91
+ 0.022171648025512695,
92
+ 0.02187468719482422,
93
+ 0.021182464599609374,
94
+ 0.02122956848144531,
95
+ 0.021190656661987304,
96
+ 0.021013504028320314,
97
+ 0.020966400146484376,
98
+ 0.02145382308959961,
99
+ 0.02108415985107422,
100
+ 0.020943872451782225,
101
+ 0.021178367614746094,
102
+ 0.021522432327270507,
103
+ 0.021526527404785157,
104
+ 0.02123263931274414,
105
+ 0.0216627197265625,
106
+ 0.021810176849365235,
107
+ 0.021576704025268553,
108
+ 0.0210565128326416,
109
+ 0.021551103591918946,
110
+ 0.020941823959350587,
111
+ 0.021204992294311522,
112
+ 0.021098495483398438,
113
+ 0.021769216537475586,
114
+ 0.02170675277709961,
115
+ 0.02143436813354492,
116
+ 0.02108415985107422,
117
+ 0.020864000320434572,
118
+ 0.020898815155029296,
119
+ 0.021246976852416992,
120
+ 0.021780479431152345,
121
+ 0.02143539237976074,
122
+ 0.02088755226135254,
123
+ 0.020616191864013672,
124
+ 0.02060492706298828,
125
+ 0.020610048294067384,
126
+ 0.020570112228393556,
127
+ 0.020975616455078124,
128
+ 0.021110784530639647,
129
+ 0.020580352783203124,
130
+ 0.020560895919799805,
131
+ 0.020616191864013672,
132
+ 0.020555776596069338,
133
+ 0.020568063735961914,
134
+ 0.020577280044555665,
135
+ 0.02065715217590332,
136
+ 0.020563968658447264,
137
+ 0.020571136474609376,
138
+ 0.020595712661743162,
139
+ 0.02062131118774414,
140
+ 0.020559871673583984,
141
+ 0.020602880477905275,
142
+ 0.02059775924682617,
143
+ 0.02065100860595703,
144
+ 0.020571136474609376,
145
+ 0.020612096786499022,
146
+ 0.020580352783203124,
147
+ 0.020570112228393556,
148
+ 0.020592639923095703,
149
+ 0.02059878349304199,
150
+ 0.02058956718444824,
151
+ 0.02065715217590332,
152
+ 0.02061516761779785,
153
+ 0.020558847427368163,
154
+ 0.020592639923095703,
155
+ 0.020582399368286132,
156
+ 0.02061311912536621,
157
+ 0.02059775924682617,
158
+ 0.020594688415527345,
159
+ 0.020545536041259766,
160
+ 0.020541439056396483,
161
+ 0.02059878349304199,
162
+ 0.020543487548828124,
163
+ 0.02059878349304199,
164
+ 0.020586496353149415,
165
+ 0.02063871955871582,
166
+ 0.0206561279296875,
167
+ 0.020632575988769532,
168
+ 0.02060492706298828,
169
+ 0.020617216110229493,
170
+ 0.020569087982177735,
171
+ 0.020603904724121092,
172
+ 0.02064691162109375,
173
+ 0.020626432418823244,
174
+ 0.020594688415527345,
175
+ 0.02068889617919922,
176
+ 0.021180416107177736,
177
+ 0.020739072799682616,
178
+ 0.020592639923095703,
179
+ 0.020567039489746093,
180
+ 0.02057318305969238,
181
+ 0.020610048294067384,
182
+ 0.02062848091125488,
183
+ 0.020579328536987306,
184
+ 0.020792320251464845,
185
+ 0.020583423614501953,
186
+ 0.020599807739257812,
187
+ 0.020601856231689454,
188
+ 0.020612096786499022,
189
+ 0.020666368484497072,
190
+ 0.02060492706298828,
191
+ 0.02061414337158203,
192
+ 0.020594688415527345,
193
+ 0.020601856231689454,
194
+ 0.020576255798339844,
195
+ 0.020607999801635742,
196
+ 0.02066227149963379,
197
+ 0.02064793586730957,
198
+ 0.020607999801635742,
199
+ 0.020585472106933594,
200
+ 0.020544511795043945,
201
+ 0.020570112228393556,
202
+ 0.020535295486450195,
203
+ 0.04320153427124023,
204
+ 0.02062131118774414,
205
+ 0.020594688415527345,
206
+ 0.020588544845581053,
207
+ 0.020563968658447264,
208
+ 0.020566015243530272,
209
+ 0.020554752349853517,
210
+ 0.020579328536987306,
211
+ 0.020587520599365236,
212
+ 0.02060697555541992,
213
+ 0.020583423614501953,
214
+ 0.020585472106933594,
215
+ 0.020564992904663085,
216
+ 0.020579328536987306,
217
+ 0.020590591430664062,
218
+ 0.020975616455078124,
219
+ 0.020653055191040038,
220
+ 0.020632575988769532,
221
+ 0.020596736907958983,
222
+ 0.020610048294067384,
223
+ 0.020900863647460938,
224
+ 0.020966400146484376,
225
+ 0.020632575988769532,
226
+ 0.020625408172607423,
227
+ 0.02059775924682617,
228
+ 0.02057318305969238,
229
+ 0.020572160720825194,
230
+ 0.02064793586730957,
231
+ 0.020644863128662108,
232
+ 0.020611072540283205,
233
+ 0.02062950325012207,
234
+ 0.020570112228393556,
235
+ 0.020626432418823244,
236
+ 0.02058137512207031,
237
+ 0.02061516761779785,
238
+ 0.020579328536987306,
239
+ 0.020599807739257812,
240
+ 0.02064896011352539,
241
+ 0.02067865562438965,
242
+ 0.020601856231689454,
243
+ 0.02108006477355957,
244
+ 0.020753408432006838,
245
+ 0.02057318305969238,
246
+ 0.020559871673583984,
247
+ 0.020584447860717774,
248
+ 0.020556800842285155,
249
+ 0.020595712661743162,
250
+ 0.020544511795043945,
251
+ 0.02058137512207031,
252
+ 0.020556800842285155,
253
+ 0.020569087982177735,
254
+ 0.02058137512207031,
255
+ 0.020590591430664062,
256
+ 0.020743167877197266,
257
+ 0.021186559677124024,
258
+ 0.020619264602661135,
259
+ 0.02062335968017578,
260
+ 0.020625408172607423,
261
+ 0.02060492706298828,
262
+ 0.020568063735961914,
263
+ 0.020612096786499022,
264
+ 0.020571136474609376,
265
+ 0.02058137512207031,
266
+ 0.0206059513092041,
267
+ 0.020592639923095703,
268
+ 0.02063052749633789,
269
+ 0.020593664169311524,
270
+ 0.020617216110229493,
271
+ 0.02059878349304199,
272
+ 0.021283840179443358,
273
+ 0.022046720504760742,
274
+ 0.021840896606445313,
275
+ 0.021300224304199217,
276
+ 0.021203968048095705,
277
+ 0.021158912658691405,
278
+ 0.02122854423522949,
279
+ 0.021143552780151367,
280
+ 0.021133312225341795,
281
+ 0.021176319122314453,
282
+ 0.02120806312561035,
283
+ 0.02111692810058594,
284
+ 0.02109542465209961,
285
+ 0.021160959243774414,
286
+ 0.021038080215454103,
287
+ 0.02109542465209961,
288
+ 0.02126540756225586,
289
+ 0.021313535690307618,
290
+ 0.021105663299560547,
291
+ 0.02109644889831543,
292
+ 0.02124185562133789,
293
+ 0.021124095916748048,
294
+ 0.02127872085571289,
295
+ 0.021141504287719725,
296
+ 0.021174272537231444,
297
+ 0.0210831356048584,
298
+ 0.02102272033691406,
299
+ 0.021190656661987304,
300
+ 0.021146623611450196,
301
+ 0.02104422378540039,
302
+ 0.021196800231933592,
303
+ 0.021185535430908203,
304
+ 0.021141504287719725,
305
+ 0.021006336212158205,
306
+ 0.021210111618041993,
307
+ 0.0210513916015625,
308
+ 0.021176319122314453,
309
+ 0.021150720596313476,
310
+ 0.020719615936279297,
311
+ 0.02104729652404785,
312
+ 0.02104934310913086,
313
+ 0.021150720596313476,
314
+ 0.02110873603820801,
315
+ 0.021150720596313476,
316
+ 0.02108518409729004,
317
+ 0.02112512016296387,
318
+ 0.021086208343505858,
319
+ 0.021906431198120118,
320
+ 0.0210882568359375,
321
+ 0.020571136474609376,
322
+ 0.020561920166015626,
323
+ 0.020526079177856444,
324
+ 0.020601856231689454,
325
+ 0.020594688415527345,
326
+ 0.020596736907958983,
327
+ 0.020620288848876952,
328
+ 0.020563968658447264,
329
+ 0.0206080322265625
330
+ ]
331
+ },
332
+ "throughput": {
333
+ "unit": "tokens/s",
334
+ "value": 47.68019110002944
335
+ },
336
+ "energy": null,
337
+ "efficiency": null
338
+ }
339
+ }
2024-06-27/commit=1de7dc7403b3b89ec421d43a8c9ee245211a61f6/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": "1de7dc7403b3b89ec421d43a8c9ee245211a61f6",
4
+ "config": "backend.cache_implementation=static,backend.torch_compile=False",
5
+ "metrics": {
6
+ "prefill.latency.mean": 0.022656448364257814,
7
+ "prefill.throughput.value": 308.96281215210263,
8
+ "decode.latency.mean": 2.652583251953125,
9
+ "decode.throughput.value": 47.877856390176845,
10
+ "per_token.latency.mean": 0.020973070302970798,
11
+ "per_token.throughput.value": 47.68019110002944
12
+ }
13
+ }
2024-06-27/commit=1de7dc7403b3b89ec421d43a8c9ee245211a61f6/backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=True/.hydra/config.yaml ADDED
@@ -0,0 +1,91 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ name: pytorch_generate
2
+ backend:
3
+ name: pytorch
4
+ version: 2.3.0+cu121
5
+ _target_: optimum_benchmark.backends.pytorch.backend.PyTorchBackend
6
+ task: null
7
+ library: null
8
+ model: google/gemma-2b
9
+ processor: null
10
+ device: cuda
11
+ device_ids: '0'
12
+ seed: 42
13
+ inter_op_num_threads: null
14
+ intra_op_num_threads: null
15
+ model_kwargs: {}
16
+ processor_kwargs: {}
17
+ hub_kwargs: {}
18
+ no_weights: true
19
+ device_map: null
20
+ torch_dtype: float16
21
+ eval_mode: true
22
+ to_bettertransformer: false
23
+ low_cpu_mem_usage: null
24
+ attn_implementation: null
25
+ cache_implementation: static
26
+ autocast_enabled: false
27
+ autocast_dtype: null
28
+ torch_compile: true
29
+ torch_compile_target: forward
30
+ torch_compile_config:
31
+ backend: inductor
32
+ mode: reduce-overhead
33
+ fullgraph: true
34
+ quantization_scheme: null
35
+ quantization_config: {}
36
+ deepspeed_inference: false
37
+ deepspeed_inference_config: {}
38
+ peft_type: null
39
+ peft_config: {}
40
+ scenario:
41
+ name: inference
42
+ _target_: optimum_benchmark.scenarios.inference.scenario.InferenceScenario
43
+ iterations: 2
44
+ duration: 0
45
+ warmup_runs: 10
46
+ input_shapes:
47
+ batch_size: 1
48
+ sequence_length: 7
49
+ new_tokens: null
50
+ latency: true
51
+ memory: true
52
+ energy: false
53
+ forward_kwargs: {}
54
+ generate_kwargs:
55
+ max_new_tokens: 128
56
+ min_new_tokens: 128
57
+ do_sample: false
58
+ call_kwargs: {}
59
+ launcher:
60
+ name: process
61
+ _target_: optimum_benchmark.launchers.process.launcher.ProcessLauncher
62
+ device_isolation: true
63
+ device_isolation_action: warn
64
+ start_method: spawn
65
+ environment:
66
+ cpu: ' AMD EPYC 7R32'
67
+ cpu_count: 16
68
+ cpu_ram_mb: 66697.29792
69
+ system: Linux
70
+ machine: x86_64
71
+ platform: Linux-5.10.218-208.862.amzn2.x86_64-x86_64-with-glibc2.29
72
+ processor: x86_64
73
+ python_version: 3.8.10
74
+ gpu:
75
+ - NVIDIA A10G
76
+ gpu_count: 1
77
+ gpu_vram_mb: 24146608128
78
+ optimum_benchmark_version: 0.2.1
79
+ optimum_benchmark_commit: null
80
+ transformers_version: 4.42.0.dev0
81
+ transformers_commit: 1de7dc7403b3b89ec421d43a8c9ee245211a61f6
82
+ accelerate_version: 0.32.0.dev0
83
+ accelerate_commit: null
84
+ diffusers_version: null
85
+ diffusers_commit: null
86
+ optimum_version: 1.21.0.dev0
87
+ optimum_commit: null
88
+ timm_version: 0.9.16
89
+ timm_commit: null
90
+ peft_version: 0.11.2.dev0
91
+ peft_commit: null
2024-06-27/commit=1de7dc7403b3b89ec421d43a8c9ee245211a61f6/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/tmpnqjysp93/commit=1de7dc7403b3b89ec421d43a8c9ee245211a61f6/${hydra.job.override_dirname}
4
+ sweep:
5
+ dir: _benchmark/tmpnqjysp93/commit=1de7dc7403b3b89ec421d43a8c9ee245211a61f6
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
+ $HYDRA_CONFIG_GROUPS
62
+
63
+
64
+ Use ''--cfg hydra'' to Show the Hydra config.
65
+
66
+ '
67
+ hydra_help: ???
68
+ hydra_logging:
69
+ version: 1
70
+ root:
71
+ level: ERROR
72
+ disable_existing_loggers: true
73
+ job_logging:
74
+ version: 1
75
+ root:
76
+ level: ERROR
77
+ disable_existing_loggers: true
78
+ env: {}
79
+ mode: MULTIRUN
80
+ searchpath: []
81
+ callbacks: {}
82
+ output_subdir: .hydra
83
+ overrides:
84
+ hydra:
85
+ - hydra/job_logging=disabled
86
+ - hydra/hydra_logging=disabled
87
+ - hydra.sweep.dir=_benchmark/tmpnqjysp93/commit\=1de7dc7403b3b89ec421d43a8c9ee245211a61f6
88
+ - hydra.run.dir=_benchmark/tmpnqjysp93/commit\=1de7dc7403b3b89ec421d43a8c9ee245211a61f6/${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/tmpnqjysp93/commit=1de7dc7403b3b89ec421d43a8c9ee245211a61f6/backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=True
128
+ choices:
129
+ backend: pytorch
130
+ launcher: process
131
+ scenario: inference
132
+ hydra/env: default
133
+ hydra/callbacks: null
134
+ hydra/job_logging: disabled
135
+ hydra/hydra_logging: disabled
136
+ hydra/hydra_help: default
137
+ hydra/help: default
138
+ hydra/sweeper: basic
139
+ hydra/launcher: basic
140
+ hydra/output: default
141
+ verbose: false
2024-06-27/commit=1de7dc7403b3b89ec421d43a8c9ee245211a61f6/backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=True/.hydra/overrides.yaml ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ - backend.model=google/gemma-2b
2
+ - backend.cache_implementation=static
3
+ - backend.torch_compile=True
2024-06-27/commit=1de7dc7403b3b89ec421d43a8c9ee245211a61f6/backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=True/benchmark.json ADDED
@@ -0,0 +1,443 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "config": {
3
+ "name": "pytorch_generate",
4
+ "backend": {
5
+ "name": "pytorch",
6
+ "version": "2.3.0+cu121",
7
+ "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
8
+ "task": "text-generation",
9
+ "library": "transformers",
10
+ "model": "google/gemma-2b",
11
+ "processor": "google/gemma-2b",
12
+ "device": "cuda",
13
+ "device_ids": "0",
14
+ "seed": 42,
15
+ "inter_op_num_threads": null,
16
+ "intra_op_num_threads": null,
17
+ "model_kwargs": {},
18
+ "processor_kwargs": {},
19
+ "hub_kwargs": {},
20
+ "no_weights": true,
21
+ "device_map": null,
22
+ "torch_dtype": "float16",
23
+ "eval_mode": true,
24
+ "to_bettertransformer": false,
25
+ "low_cpu_mem_usage": null,
26
+ "attn_implementation": null,
27
+ "cache_implementation": "static",
28
+ "autocast_enabled": false,
29
+ "autocast_dtype": null,
30
+ "torch_compile": true,
31
+ "torch_compile_target": "forward",
32
+ "torch_compile_config": {
33
+ "backend": "inductor",
34
+ "mode": "reduce-overhead",
35
+ "fullgraph": true
36
+ },
37
+ "quantization_scheme": null,
38
+ "quantization_config": {},
39
+ "deepspeed_inference": false,
40
+ "deepspeed_inference_config": {},
41
+ "peft_type": null,
42
+ "peft_config": {}
43
+ },
44
+ "scenario": {
45
+ "name": "inference",
46
+ "_target_": "optimum_benchmark.scenarios.inference.scenario.InferenceScenario",
47
+ "iterations": 2,
48
+ "duration": 0,
49
+ "warmup_runs": 10,
50
+ "input_shapes": {
51
+ "batch_size": 1,
52
+ "num_choices": 2,
53
+ "sequence_length": 7
54
+ },
55
+ "new_tokens": null,
56
+ "latency": true,
57
+ "memory": true,
58
+ "energy": false,
59
+ "forward_kwargs": {},
60
+ "generate_kwargs": {
61
+ "max_new_tokens": 128,
62
+ "min_new_tokens": 128,
63
+ "do_sample": false
64
+ },
65
+ "call_kwargs": {}
66
+ },
67
+ "launcher": {
68
+ "name": "process",
69
+ "_target_": "optimum_benchmark.launchers.process.launcher.ProcessLauncher",
70
+ "device_isolation": true,
71
+ "device_isolation_action": "warn",
72
+ "start_method": "spawn"
73
+ },
74
+ "environment": {
75
+ "cpu": " AMD EPYC 7R32",
76
+ "cpu_count": 16,
77
+ "cpu_ram_mb": 66697.29792,
78
+ "system": "Linux",
79
+ "machine": "x86_64",
80
+ "platform": "Linux-5.10.218-208.862.amzn2.x86_64-x86_64-with-glibc2.29",
81
+ "processor": "x86_64",
82
+ "python_version": "3.8.10",
83
+ "gpu": [
84
+ "NVIDIA A10G"
85
+ ],
86
+ "gpu_count": 1,
87
+ "gpu_vram_mb": 24146608128,
88
+ "optimum_benchmark_version": "0.2.1",
89
+ "optimum_benchmark_commit": null,
90
+ "transformers_version": "4.42.0.dev0",
91
+ "transformers_commit": "1de7dc7403b3b89ec421d43a8c9ee245211a61f6",
92
+ "accelerate_version": "0.32.0.dev0",
93
+ "accelerate_commit": null,
94
+ "diffusers_version": null,
95
+ "diffusers_commit": null,
96
+ "optimum_version": "1.21.0.dev0",
97
+ "optimum_commit": null,
98
+ "timm_version": "0.9.16",
99
+ "timm_commit": null,
100
+ "peft_version": "0.11.2.dev0",
101
+ "peft_commit": null
102
+ }
103
+ },
104
+ "report": {
105
+ "prefill": {
106
+ "memory": {
107
+ "unit": "MB",
108
+ "max_ram": 1916.14976,
109
+ "max_global_vram": 6094.848,
110
+ "max_process_vram": 0.0,
111
+ "max_reserved": 5379.19488,
112
+ "max_allocated": 5021.251584
113
+ },
114
+ "latency": {
115
+ "unit": "s",
116
+ "count": 2,
117
+ "total": 0.028479583740234377,
118
+ "mean": 0.014239791870117188,
119
+ "stdev": 0.00024481582641601527,
120
+ "p50": 0.014239791870117188,
121
+ "p90": 0.01443564453125,
122
+ "p95": 0.014460126113891601,
123
+ "p99": 0.014479711380004883,
124
+ "values": [
125
+ 0.014484607696533203,
126
+ 0.013994976043701172
127
+ ]
128
+ },
129
+ "throughput": {
130
+ "unit": "tokens/s",
131
+ "value": 491.5802185767756
132
+ },
133
+ "energy": null,
134
+ "efficiency": null
135
+ },
136
+ "decode": {
137
+ "memory": {
138
+ "unit": "MB",
139
+ "max_ram": 2259.898368,
140
+ "max_global_vram": 8907.128832,
141
+ "max_process_vram": 0.0,
142
+ "max_reserved": 5379.19488,
143
+ "max_allocated": 5027.089408
144
+ },
145
+ "latency": {
146
+ "unit": "s",
147
+ "count": 2,
148
+ "total": 3.14495654296875,
149
+ "mean": 1.572478271484375,
150
+ "stdev": 0.016987304687499982,
151
+ "p50": 1.572478271484375,
152
+ "p90": 1.586068115234375,
153
+ "p95": 1.587766845703125,
154
+ "p99": 1.589125830078125,
155
+ "values": [
156
+ 1.589465576171875,
157
+ 1.555490966796875
158
+ ]
159
+ },
160
+ "throughput": {
161
+ "unit": "tokens/s",
162
+ "value": 80.76423204252966
163
+ },
164
+ "energy": null,
165
+ "efficiency": null
166
+ },
167
+ "per_token": {
168
+ "memory": null,
169
+ "latency": {
170
+ "unit": "s",
171
+ "count": 253,
172
+ "total": 3.146045446395877,
173
+ "mean": 0.01243496223871887,
174
+ "stdev": 0.0009081284315448639,
175
+ "p50": 0.012266495704650878,
176
+ "p90": 0.012724019241333009,
177
+ "p95": 0.01275166721343994,
178
+ "p99": 0.012791111679077148,
179
+ "values": [
180
+ 0.012653568267822265,
181
+ 0.01277337646484375,
182
+ 0.012687359809875488,
183
+ 0.012769280433654785,
184
+ 0.012736512184143066,
185
+ 0.012766207695007324,
186
+ 0.012687359809875488,
187
+ 0.012736512184143066,
188
+ 0.012752896308898925,
189
+ 0.01274060821533203,
190
+ 0.012731391906738282,
191
+ 0.012749823570251465,
192
+ 0.01267404842376709,
193
+ 0.012729344367980957,
194
+ 0.012662783622741699,
195
+ 0.012721152305603027,
196
+ 0.012692480087280274,
197
+ 0.012750847816467285,
198
+ 0.012681216239929198,
199
+ 0.01276211166381836,
200
+ 0.012696576118469239,
201
+ 0.012749823570251465,
202
+ 0.012696576118469239,
203
+ 0.012739583969116211,
204
+ 0.012691455841064453,
205
+ 0.012774399757385254,
206
+ 0.012650495529174804,
207
+ 0.012734463691711426,
208
+ 0.012692480087280274,
209
+ 0.012713983535766601,
210
+ 0.012683263778686523,
211
+ 0.01275391960144043,
212
+ 0.012705792427062988,
213
+ 0.012701696395874023,
214
+ 0.012786687850952149,
215
+ 0.012770303726196289,
216
+ 0.012721152305603027,
217
+ 0.012734463691711426,
218
+ 0.01267404842376709,
219
+ 0.012693504333496093,
220
+ 0.01262284755706787,
221
+ 0.012723199844360352,
222
+ 0.012691455841064453,
223
+ 0.012766207695007324,
224
+ 0.012670975685119629,
225
+ 0.01273855972290039,
226
+ 0.012696576118469239,
227
+ 0.012724224090576173,
228
+ 0.012660736083984376,
229
+ 0.012700672149658204,
230
+ 0.012705792427062988,
231
+ 0.012704768180847169,
232
+ 0.012668928146362305,
233
+ 0.012704768180847169,
234
+ 0.012646400451660156,
235
+ 0.012715007781982422,
236
+ 0.012635135650634765,
237
+ 0.012675071716308594,
238
+ 0.01295462417602539,
239
+ 0.012795904159545898,
240
+ 0.01267302417755127,
241
+ 0.012706815719604492,
242
+ 0.012627967834472656,
243
+ 0.012713983535766601,
244
+ 0.012554240226745606,
245
+ 0.012610560417175292,
246
+ 0.012390399932861328,
247
+ 0.012684288024902344,
248
+ 0.012297216415405274,
249
+ 0.012316672325134278,
250
+ 0.01238425636291504,
251
+ 0.01248256015777588,
252
+ 0.01255731201171875,
253
+ 0.012637184143066407,
254
+ 0.012265472412109376,
255
+ 0.012321791648864745,
256
+ 0.012327936172485352,
257
+ 0.012365823745727538,
258
+ 0.012409855842590332,
259
+ 0.012292096138000488,
260
+ 0.012228608131408691,
261
+ 0.01226035213470459,
262
+ 0.012233728408813477,
263
+ 0.012282879829406738,
264
+ 0.012357631683349609,
265
+ 0.012290047645568849,
266
+ 0.01224294376373291,
267
+ 0.012303359985351562,
268
+ 0.012231679916381836,
269
+ 0.012315648078918457,
270
+ 0.012218367576599122,
271
+ 0.012283904075622559,
272
+ 0.01222051239013672,
273
+ 0.012262304306030274,
274
+ 0.012215295791625976,
275
+ 0.012424192428588866,
276
+ 0.012231679916381836,
277
+ 0.01226956844329834,
278
+ 0.012217344284057617,
279
+ 0.01226956844329834,
280
+ 0.0122357759475708,
281
+ 0.012306431770324706,
282
+ 0.012224512100219726,
283
+ 0.012267519950866699,
284
+ 0.012225536346435547,
285
+ 0.012270591735839843,
286
+ 0.012244992256164551,
287
+ 0.012263423919677734,
288
+ 0.012225536346435547,
289
+ 0.01226137638092041,
290
+ 0.012237824440002442,
291
+ 0.01226854419708252,
292
+ 0.012212224006652832,
293
+ 0.01226035213470459,
294
+ 0.01224396800994873,
295
+ 0.012254207611083985,
296
+ 0.012215295791625976,
297
+ 0.012275712013244629,
298
+ 0.012230655670166016,
299
+ 0.01226035213470459,
300
+ 0.012225536346435547,
301
+ 0.012266495704650878,
302
+ 0.012237824440002442,
303
+ 0.012274687767028808,
304
+ 0.012240896224975586,
305
+ 0.01228492832183838,
306
+ 0.02647555160522461,
307
+ 0.01222755241394043,
308
+ 0.012282879829406738,
309
+ 0.01223475170135498,
310
+ 0.012264448165893555,
311
+ 0.012224512100219726,
312
+ 0.01226137638092041,
313
+ 0.012229632377624512,
314
+ 0.012265472412109376,
315
+ 0.01222758388519287,
316
+ 0.012273664474487305,
317
+ 0.012233728408813477,
318
+ 0.012278783798217773,
319
+ 0.012236800193786621,
320
+ 0.012285951614379884,
321
+ 0.012241920471191407,
322
+ 0.01226137638092041,
323
+ 0.012220416069030762,
324
+ 0.01226035213470459,
325
+ 0.012229632377624512,
326
+ 0.012255231857299804,
327
+ 0.012206080436706544,
328
+ 0.012257280349731446,
329
+ 0.012216320037841797,
330
+ 0.01226137638092041,
331
+ 0.012255231857299804,
332
+ 0.012259327888488769,
333
+ 0.012223487854003906,
334
+ 0.01225113582611084,
335
+ 0.012213248252868653,
336
+ 0.012279808044433594,
337
+ 0.012247039794921874,
338
+ 0.012267519950866699,
339
+ 0.012220416069030762,
340
+ 0.012267519950866699,
341
+ 0.012223487854003906,
342
+ 0.012265472412109376,
343
+ 0.012229632377624512,
344
+ 0.012270591735839843,
345
+ 0.012211199760437011,
346
+ 0.012271615982055664,
347
+ 0.012210176467895508,
348
+ 0.012267519950866699,
349
+ 0.012214271545410157,
350
+ 0.012294143676757812,
351
+ 0.012229632377624512,
352
+ 0.012288000106811523,
353
+ 0.012239871978759765,
354
+ 0.01225216007232666,
355
+ 0.012229632377624512,
356
+ 0.012264448165893555,
357
+ 0.012238847732543945,
358
+ 0.01227673625946045,
359
+ 0.012218367576599122,
360
+ 0.01225830364227295,
361
+ 0.012212224006652832,
362
+ 0.012263423919677734,
363
+ 0.012214271545410157,
364
+ 0.012249088287353516,
365
+ 0.012226559638977052,
366
+ 0.01225011157989502,
367
+ 0.012221440315246582,
368
+ 0.012256256103515625,
369
+ 0.012237824440002442,
370
+ 0.012282879829406738,
371
+ 0.012216320037841797,
372
+ 0.01225830364227295,
373
+ 0.012221440315246582,
374
+ 0.01226035213470459,
375
+ 0.012221440315246582,
376
+ 0.012262399673461915,
377
+ 0.012221440315246582,
378
+ 0.012255231857299804,
379
+ 0.012223487854003906,
380
+ 0.01226035213470459,
381
+ 0.012221440315246582,
382
+ 0.01225216007232666,
383
+ 0.012222463607788087,
384
+ 0.012275712013244629,
385
+ 0.012256256103515625,
386
+ 0.012282879829406738,
387
+ 0.012232704162597656,
388
+ 0.012262399673461915,
389
+ 0.01221939182281494,
390
+ 0.01229312038421631,
391
+ 0.012237824440002442,
392
+ 0.012272640228271485,
393
+ 0.012238847732543945,
394
+ 0.01226854419708252,
395
+ 0.012222463607788087,
396
+ 0.012273664474487305,
397
+ 0.012217344284057617,
398
+ 0.012262399673461915,
399
+ 0.01224294376373291,
400
+ 0.012274687767028808,
401
+ 0.012237824440002442,
402
+ 0.01227673625946045,
403
+ 0.012216320037841797,
404
+ 0.012254207611083985,
405
+ 0.012210176467895508,
406
+ 0.012267519950866699,
407
+ 0.012226559638977052,
408
+ 0.012259327888488769,
409
+ 0.012205056190490723,
410
+ 0.012255231857299804,
411
+ 0.012224512100219726,
412
+ 0.012263423919677734,
413
+ 0.012220416069030762,
414
+ 0.012266495704650878,
415
+ 0.012215295791625976,
416
+ 0.012247039794921874,
417
+ 0.012205056190490723,
418
+ 0.012267519950866699,
419
+ 0.012228608131408691,
420
+ 0.012274687767028808,
421
+ 0.012238847732543945,
422
+ 0.012254207611083985,
423
+ 0.012224512100219726,
424
+ 0.012271615982055664,
425
+ 0.012230655670166016,
426
+ 0.012279808044433594,
427
+ 0.012239871978759765,
428
+ 0.012256256103515625,
429
+ 0.012215295791625976,
430
+ 0.012272640228271485,
431
+ 0.012225536346435547,
432
+ 0.012298239707946777
433
+ ]
434
+ },
435
+ "throughput": {
436
+ "unit": "tokens/s",
437
+ "value": 80.41841871351163
438
+ },
439
+ "energy": null,
440
+ "efficiency": null
441
+ }
442
+ }
443
+ }
2024-06-27/commit=1de7dc7403b3b89ec421d43a8c9ee245211a61f6/backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=True/benchmark.log ADDED
File without changes
2024-06-27/commit=1de7dc7403b3b89ec421d43a8c9ee245211a61f6/backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=True/benchmark_config.json ADDED
@@ -0,0 +1,102 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "name": "pytorch_generate",
3
+ "backend": {
4
+ "name": "pytorch",
5
+ "version": "2.3.0+cu121",
6
+ "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
7
+ "task": "text-generation",
8
+ "library": "transformers",
9
+ "model": "google/gemma-2b",
10
+ "processor": "google/gemma-2b",
11
+ "device": "cuda",
12
+ "device_ids": "0",
13
+ "seed": 42,
14
+ "inter_op_num_threads": null,
15
+ "intra_op_num_threads": null,
16
+ "model_kwargs": {},
17
+ "processor_kwargs": {},
18
+ "hub_kwargs": {},
19
+ "no_weights": true,
20
+ "device_map": null,
21
+ "torch_dtype": "float16",
22
+ "eval_mode": true,
23
+ "to_bettertransformer": false,
24
+ "low_cpu_mem_usage": null,
25
+ "attn_implementation": null,
26
+ "cache_implementation": "static",
27
+ "autocast_enabled": false,
28
+ "autocast_dtype": null,
29
+ "torch_compile": true,
30
+ "torch_compile_target": "forward",
31
+ "torch_compile_config": {
32
+ "backend": "inductor",
33
+ "mode": "reduce-overhead",
34
+ "fullgraph": true
35
+ },
36
+ "quantization_scheme": null,
37
+ "quantization_config": {},
38
+ "deepspeed_inference": false,
39
+ "deepspeed_inference_config": {},
40
+ "peft_type": null,
41
+ "peft_config": {}
42
+ },
43
+ "scenario": {
44
+ "name": "inference",
45
+ "_target_": "optimum_benchmark.scenarios.inference.scenario.InferenceScenario",
46
+ "iterations": 2,
47
+ "duration": 0,
48
+ "warmup_runs": 10,
49
+ "input_shapes": {
50
+ "batch_size": 1,
51
+ "num_choices": 2,
52
+ "sequence_length": 7
53
+ },
54
+ "new_tokens": null,
55
+ "latency": true,
56
+ "memory": true,
57
+ "energy": false,
58
+ "forward_kwargs": {},
59
+ "generate_kwargs": {
60
+ "max_new_tokens": 128,
61
+ "min_new_tokens": 128,
62
+ "do_sample": false
63
+ },
64
+ "call_kwargs": {}
65
+ },
66
+ "launcher": {
67
+ "name": "process",
68
+ "_target_": "optimum_benchmark.launchers.process.launcher.ProcessLauncher",
69
+ "device_isolation": true,
70
+ "device_isolation_action": "warn",
71
+ "start_method": "spawn"
72
+ },
73
+ "environment": {
74
+ "cpu": " AMD EPYC 7R32",
75
+ "cpu_count": 16,
76
+ "cpu_ram_mb": 66697.29792,
77
+ "system": "Linux",
78
+ "machine": "x86_64",
79
+ "platform": "Linux-5.10.218-208.862.amzn2.x86_64-x86_64-with-glibc2.29",
80
+ "processor": "x86_64",
81
+ "python_version": "3.8.10",
82
+ "gpu": [
83
+ "NVIDIA A10G"
84
+ ],
85
+ "gpu_count": 1,
86
+ "gpu_vram_mb": 24146608128,
87
+ "optimum_benchmark_version": "0.2.1",
88
+ "optimum_benchmark_commit": null,
89
+ "transformers_version": "4.42.0.dev0",
90
+ "transformers_commit": "1de7dc7403b3b89ec421d43a8c9ee245211a61f6",
91
+ "accelerate_version": "0.32.0.dev0",
92
+ "accelerate_commit": null,
93
+ "diffusers_version": null,
94
+ "diffusers_commit": null,
95
+ "optimum_version": "1.21.0.dev0",
96
+ "optimum_commit": null,
97
+ "timm_version": "0.9.16",
98
+ "timm_commit": null,
99
+ "peft_version": "0.11.2.dev0",
100
+ "peft_commit": null
101
+ }
102
+ }
2024-06-27/commit=1de7dc7403b3b89ec421d43a8c9ee245211a61f6/backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=True/benchmark_report.json ADDED
@@ -0,0 +1,339 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "prefill": {
3
+ "memory": {
4
+ "unit": "MB",
5
+ "max_ram": 1916.14976,
6
+ "max_global_vram": 6094.848,
7
+ "max_process_vram": 0.0,
8
+ "max_reserved": 5379.19488,
9
+ "max_allocated": 5021.251584
10
+ },
11
+ "latency": {
12
+ "unit": "s",
13
+ "count": 2,
14
+ "total": 0.028479583740234377,
15
+ "mean": 0.014239791870117188,
16
+ "stdev": 0.00024481582641601527,
17
+ "p50": 0.014239791870117188,
18
+ "p90": 0.01443564453125,
19
+ "p95": 0.014460126113891601,
20
+ "p99": 0.014479711380004883,
21
+ "values": [
22
+ 0.014484607696533203,
23
+ 0.013994976043701172
24
+ ]
25
+ },
26
+ "throughput": {
27
+ "unit": "tokens/s",
28
+ "value": 491.5802185767756
29
+ },
30
+ "energy": null,
31
+ "efficiency": null
32
+ },
33
+ "decode": {
34
+ "memory": {
35
+ "unit": "MB",
36
+ "max_ram": 2259.898368,
37
+ "max_global_vram": 8907.128832,
38
+ "max_process_vram": 0.0,
39
+ "max_reserved": 5379.19488,
40
+ "max_allocated": 5027.089408
41
+ },
42
+ "latency": {
43
+ "unit": "s",
44
+ "count": 2,
45
+ "total": 3.14495654296875,
46
+ "mean": 1.572478271484375,
47
+ "stdev": 0.016987304687499982,
48
+ "p50": 1.572478271484375,
49
+ "p90": 1.586068115234375,
50
+ "p95": 1.587766845703125,
51
+ "p99": 1.589125830078125,
52
+ "values": [
53
+ 1.589465576171875,
54
+ 1.555490966796875
55
+ ]
56
+ },
57
+ "throughput": {
58
+ "unit": "tokens/s",
59
+ "value": 80.76423204252966
60
+ },
61
+ "energy": null,
62
+ "efficiency": null
63
+ },
64
+ "per_token": {
65
+ "memory": null,
66
+ "latency": {
67
+ "unit": "s",
68
+ "count": 253,
69
+ "total": 3.146045446395877,
70
+ "mean": 0.01243496223871887,
71
+ "stdev": 0.0009081284315448639,
72
+ "p50": 0.012266495704650878,
73
+ "p90": 0.012724019241333009,
74
+ "p95": 0.01275166721343994,
75
+ "p99": 0.012791111679077148,
76
+ "values": [
77
+ 0.012653568267822265,
78
+ 0.01277337646484375,
79
+ 0.012687359809875488,
80
+ 0.012769280433654785,
81
+ 0.012736512184143066,
82
+ 0.012766207695007324,
83
+ 0.012687359809875488,
84
+ 0.012736512184143066,
85
+ 0.012752896308898925,
86
+ 0.01274060821533203,
87
+ 0.012731391906738282,
88
+ 0.012749823570251465,
89
+ 0.01267404842376709,
90
+ 0.012729344367980957,
91
+ 0.012662783622741699,
92
+ 0.012721152305603027,
93
+ 0.012692480087280274,
94
+ 0.012750847816467285,
95
+ 0.012681216239929198,
96
+ 0.01276211166381836,
97
+ 0.012696576118469239,
98
+ 0.012749823570251465,
99
+ 0.012696576118469239,
100
+ 0.012739583969116211,
101
+ 0.012691455841064453,
102
+ 0.012774399757385254,
103
+ 0.012650495529174804,
104
+ 0.012734463691711426,
105
+ 0.012692480087280274,
106
+ 0.012713983535766601,
107
+ 0.012683263778686523,
108
+ 0.01275391960144043,
109
+ 0.012705792427062988,
110
+ 0.012701696395874023,
111
+ 0.012786687850952149,
112
+ 0.012770303726196289,
113
+ 0.012721152305603027,
114
+ 0.012734463691711426,
115
+ 0.01267404842376709,
116
+ 0.012693504333496093,
117
+ 0.01262284755706787,
118
+ 0.012723199844360352,
119
+ 0.012691455841064453,
120
+ 0.012766207695007324,
121
+ 0.012670975685119629,
122
+ 0.01273855972290039,
123
+ 0.012696576118469239,
124
+ 0.012724224090576173,
125
+ 0.012660736083984376,
126
+ 0.012700672149658204,
127
+ 0.012705792427062988,
128
+ 0.012704768180847169,
129
+ 0.012668928146362305,
130
+ 0.012704768180847169,
131
+ 0.012646400451660156,
132
+ 0.012715007781982422,
133
+ 0.012635135650634765,
134
+ 0.012675071716308594,
135
+ 0.01295462417602539,
136
+ 0.012795904159545898,
137
+ 0.01267302417755127,
138
+ 0.012706815719604492,
139
+ 0.012627967834472656,
140
+ 0.012713983535766601,
141
+ 0.012554240226745606,
142
+ 0.012610560417175292,
143
+ 0.012390399932861328,
144
+ 0.012684288024902344,
145
+ 0.012297216415405274,
146
+ 0.012316672325134278,
147
+ 0.01238425636291504,
148
+ 0.01248256015777588,
149
+ 0.01255731201171875,
150
+ 0.012637184143066407,
151
+ 0.012265472412109376,
152
+ 0.012321791648864745,
153
+ 0.012327936172485352,
154
+ 0.012365823745727538,
155
+ 0.012409855842590332,
156
+ 0.012292096138000488,
157
+ 0.012228608131408691,
158
+ 0.01226035213470459,
159
+ 0.012233728408813477,
160
+ 0.012282879829406738,
161
+ 0.012357631683349609,
162
+ 0.012290047645568849,
163
+ 0.01224294376373291,
164
+ 0.012303359985351562,
165
+ 0.012231679916381836,
166
+ 0.012315648078918457,
167
+ 0.012218367576599122,
168
+ 0.012283904075622559,
169
+ 0.01222051239013672,
170
+ 0.012262304306030274,
171
+ 0.012215295791625976,
172
+ 0.012424192428588866,
173
+ 0.012231679916381836,
174
+ 0.01226956844329834,
175
+ 0.012217344284057617,
176
+ 0.01226956844329834,
177
+ 0.0122357759475708,
178
+ 0.012306431770324706,
179
+ 0.012224512100219726,
180
+ 0.012267519950866699,
181
+ 0.012225536346435547,
182
+ 0.012270591735839843,
183
+ 0.012244992256164551,
184
+ 0.012263423919677734,
185
+ 0.012225536346435547,
186
+ 0.01226137638092041,
187
+ 0.012237824440002442,
188
+ 0.01226854419708252,
189
+ 0.012212224006652832,
190
+ 0.01226035213470459,
191
+ 0.01224396800994873,
192
+ 0.012254207611083985,
193
+ 0.012215295791625976,
194
+ 0.012275712013244629,
195
+ 0.012230655670166016,
196
+ 0.01226035213470459,
197
+ 0.012225536346435547,
198
+ 0.012266495704650878,
199
+ 0.012237824440002442,
200
+ 0.012274687767028808,
201
+ 0.012240896224975586,
202
+ 0.01228492832183838,
203
+ 0.02647555160522461,
204
+ 0.01222755241394043,
205
+ 0.012282879829406738,
206
+ 0.01223475170135498,
207
+ 0.012264448165893555,
208
+ 0.012224512100219726,
209
+ 0.01226137638092041,
210
+ 0.012229632377624512,
211
+ 0.012265472412109376,
212
+ 0.01222758388519287,
213
+ 0.012273664474487305,
214
+ 0.012233728408813477,
215
+ 0.012278783798217773,
216
+ 0.012236800193786621,
217
+ 0.012285951614379884,
218
+ 0.012241920471191407,
219
+ 0.01226137638092041,
220
+ 0.012220416069030762,
221
+ 0.01226035213470459,
222
+ 0.012229632377624512,
223
+ 0.012255231857299804,
224
+ 0.012206080436706544,
225
+ 0.012257280349731446,
226
+ 0.012216320037841797,
227
+ 0.01226137638092041,
228
+ 0.012255231857299804,
229
+ 0.012259327888488769,
230
+ 0.012223487854003906,
231
+ 0.01225113582611084,
232
+ 0.012213248252868653,
233
+ 0.012279808044433594,
234
+ 0.012247039794921874,
235
+ 0.012267519950866699,
236
+ 0.012220416069030762,
237
+ 0.012267519950866699,
238
+ 0.012223487854003906,
239
+ 0.012265472412109376,
240
+ 0.012229632377624512,
241
+ 0.012270591735839843,
242
+ 0.012211199760437011,
243
+ 0.012271615982055664,
244
+ 0.012210176467895508,
245
+ 0.012267519950866699,
246
+ 0.012214271545410157,
247
+ 0.012294143676757812,
248
+ 0.012229632377624512,
249
+ 0.012288000106811523,
250
+ 0.012239871978759765,
251
+ 0.01225216007232666,
252
+ 0.012229632377624512,
253
+ 0.012264448165893555,
254
+ 0.012238847732543945,
255
+ 0.01227673625946045,
256
+ 0.012218367576599122,
257
+ 0.01225830364227295,
258
+ 0.012212224006652832,
259
+ 0.012263423919677734,
260
+ 0.012214271545410157,
261
+ 0.012249088287353516,
262
+ 0.012226559638977052,
263
+ 0.01225011157989502,
264
+ 0.012221440315246582,
265
+ 0.012256256103515625,
266
+ 0.012237824440002442,
267
+ 0.012282879829406738,
268
+ 0.012216320037841797,
269
+ 0.01225830364227295,
270
+ 0.012221440315246582,
271
+ 0.01226035213470459,
272
+ 0.012221440315246582,
273
+ 0.012262399673461915,
274
+ 0.012221440315246582,
275
+ 0.012255231857299804,
276
+ 0.012223487854003906,
277
+ 0.01226035213470459,
278
+ 0.012221440315246582,
279
+ 0.01225216007232666,
280
+ 0.012222463607788087,
281
+ 0.012275712013244629,
282
+ 0.012256256103515625,
283
+ 0.012282879829406738,
284
+ 0.012232704162597656,
285
+ 0.012262399673461915,
286
+ 0.01221939182281494,
287
+ 0.01229312038421631,
288
+ 0.012237824440002442,
289
+ 0.012272640228271485,
290
+ 0.012238847732543945,
291
+ 0.01226854419708252,
292
+ 0.012222463607788087,
293
+ 0.012273664474487305,
294
+ 0.012217344284057617,
295
+ 0.012262399673461915,
296
+ 0.01224294376373291,
297
+ 0.012274687767028808,
298
+ 0.012237824440002442,
299
+ 0.01227673625946045,
300
+ 0.012216320037841797,
301
+ 0.012254207611083985,
302
+ 0.012210176467895508,
303
+ 0.012267519950866699,
304
+ 0.012226559638977052,
305
+ 0.012259327888488769,
306
+ 0.012205056190490723,
307
+ 0.012255231857299804,
308
+ 0.012224512100219726,
309
+ 0.012263423919677734,
310
+ 0.012220416069030762,
311
+ 0.012266495704650878,
312
+ 0.012215295791625976,
313
+ 0.012247039794921874,
314
+ 0.012205056190490723,
315
+ 0.012267519950866699,
316
+ 0.012228608131408691,
317
+ 0.012274687767028808,
318
+ 0.012238847732543945,
319
+ 0.012254207611083985,
320
+ 0.012224512100219726,
321
+ 0.012271615982055664,
322
+ 0.012230655670166016,
323
+ 0.012279808044433594,
324
+ 0.012239871978759765,
325
+ 0.012256256103515625,
326
+ 0.012215295791625976,
327
+ 0.012272640228271485,
328
+ 0.012225536346435547,
329
+ 0.012298239707946777
330
+ ]
331
+ },
332
+ "throughput": {
333
+ "unit": "tokens/s",
334
+ "value": 80.41841871351163
335
+ },
336
+ "energy": null,
337
+ "efficiency": null
338
+ }
339
+ }
2024-06-27/commit=1de7dc7403b3b89ec421d43a8c9ee245211a61f6/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": "1de7dc7403b3b89ec421d43a8c9ee245211a61f6",
4
+ "config": "backend.cache_implementation=static,backend.torch_compile=True",
5
+ "metrics": {
6
+ "prefill.latency.mean": 0.014239791870117188,
7
+ "prefill.throughput.value": 491.5802185767756,
8
+ "decode.latency.mean": 1.572478271484375,
9
+ "decode.throughput.value": 80.76423204252966,
10
+ "per_token.latency.mean": 0.01243496223871887,
11
+ "per_token.throughput.value": 80.41841871351163
12
+ }
13
+ }
2024-06-27/commit=1de7dc7403b3b89ec421d43a8c9ee245211a61f6/multirun.yaml ADDED
@@ -0,0 +1,232 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ hydra:
2
+ run:
3
+ dir: _benchmark/tmpnqjysp93/commit=1de7dc7403b3b89ec421d43a8c9ee245211a61f6/${hydra.job.override_dirname}
4
+ sweep:
5
+ dir: _benchmark/tmpnqjysp93/commit=1de7dc7403b3b89ec421d43a8c9ee245211a61f6
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
+ $HYDRA_CONFIG_GROUPS
62
+
63
+
64
+ Use ''--cfg hydra'' to Show the Hydra config.
65
+
66
+ '
67
+ hydra_help: ???
68
+ hydra_logging:
69
+ version: 1
70
+ root:
71
+ level: ERROR
72
+ disable_existing_loggers: true
73
+ job_logging:
74
+ version: 1
75
+ root:
76
+ level: ERROR
77
+ disable_existing_loggers: true
78
+ env: {}
79
+ mode: MULTIRUN
80
+ searchpath: []
81
+ callbacks: {}
82
+ output_subdir: .hydra
83
+ overrides:
84
+ hydra:
85
+ - hydra/job_logging=disabled
86
+ - hydra/hydra_logging=disabled
87
+ - hydra.sweep.dir=_benchmark/tmpnqjysp93/commit\=1de7dc7403b3b89ec421d43a8c9ee245211a61f6
88
+ - hydra.run.dir=_benchmark/tmpnqjysp93/commit\=1de7dc7403b3b89ec421d43a8c9ee245211a61f6/${hydra.job.override_dirname}
89
+ - hydra.mode=MULTIRUN
90
+ task:
91
+ - backend.model=google/gemma-2b
92
+ - backend.cache_implementation=null,static
93
+ - backend.torch_compile=false,true
94
+ job:
95
+ name: cli
96
+ chdir: true
97
+ override_dirname: backend.cache_implementation=null,static,backend.model=google/gemma-2b,backend.torch_compile=false,true
98
+ id: ???
99
+ num: ???
100
+ config_name: generation
101
+ env_set:
102
+ OVERRIDE_BENCHMARKS: '1'
103
+ LOG_LEVEL: WARN
104
+ env_copy: []
105
+ config:
106
+ override_dirname:
107
+ kv_sep: '='
108
+ item_sep: ','
109
+ exclude_keys: []
110
+ runtime:
111
+ version: 1.3.2
112
+ version_base: '1.3'
113
+ cwd: /transformers
114
+ config_sources:
115
+ - path: hydra.conf
116
+ schema: pkg
117
+ provider: hydra
118
+ - path: optimum_benchmark
119
+ schema: pkg
120
+ provider: main
121
+ - path: /transformers/benchmark/config
122
+ schema: file
123
+ provider: command-line
124
+ - path: ''
125
+ schema: structured
126
+ provider: schema
127
+ output_dir: ???
128
+ choices:
129
+ backend: pytorch
130
+ launcher: process
131
+ scenario: inference
132
+ hydra/env: default
133
+ hydra/callbacks: null
134
+ hydra/job_logging: disabled
135
+ hydra/hydra_logging: disabled
136
+ hydra/hydra_help: default
137
+ hydra/help: default
138
+ hydra/sweeper: basic
139
+ hydra/launcher: basic
140
+ hydra/output: default
141
+ verbose: false
142
+ name: pytorch_generate
143
+ backend:
144
+ name: pytorch
145
+ version: 2.3.0+cu121
146
+ _target_: optimum_benchmark.backends.pytorch.backend.PyTorchBackend
147
+ task: null
148
+ library: null
149
+ model: google/gemma-2b
150
+ processor: null
151
+ device: cuda
152
+ device_ids: '0'
153
+ seed: 42
154
+ inter_op_num_threads: null
155
+ intra_op_num_threads: null
156
+ model_kwargs: {}
157
+ processor_kwargs: {}
158
+ hub_kwargs: {}
159
+ no_weights: true
160
+ device_map: null
161
+ torch_dtype: float16
162
+ eval_mode: true
163
+ to_bettertransformer: false
164
+ low_cpu_mem_usage: null
165
+ attn_implementation: null
166
+ cache_implementation: static
167
+ autocast_enabled: false
168
+ autocast_dtype: null
169
+ torch_compile: true
170
+ torch_compile_target: forward
171
+ torch_compile_config:
172
+ backend: inductor
173
+ mode: reduce-overhead
174
+ fullgraph: true
175
+ quantization_scheme: null
176
+ quantization_config: {}
177
+ deepspeed_inference: false
178
+ deepspeed_inference_config: {}
179
+ peft_type: null
180
+ peft_config: {}
181
+ scenario:
182
+ name: inference
183
+ _target_: optimum_benchmark.scenarios.inference.scenario.InferenceScenario
184
+ iterations: 2
185
+ duration: 0
186
+ warmup_runs: 10
187
+ input_shapes:
188
+ batch_size: 1
189
+ sequence_length: 7
190
+ new_tokens: null
191
+ latency: true
192
+ memory: true
193
+ energy: false
194
+ forward_kwargs: {}
195
+ generate_kwargs:
196
+ max_new_tokens: 128
197
+ min_new_tokens: 128
198
+ do_sample: false
199
+ call_kwargs: {}
200
+ launcher:
201
+ name: process
202
+ _target_: optimum_benchmark.launchers.process.launcher.ProcessLauncher
203
+ device_isolation: true
204
+ device_isolation_action: warn
205
+ start_method: spawn
206
+ environment:
207
+ cpu: ' AMD EPYC 7R32'
208
+ cpu_count: 16
209
+ cpu_ram_mb: 66697.29792
210
+ system: Linux
211
+ machine: x86_64
212
+ platform: Linux-5.10.218-208.862.amzn2.x86_64-x86_64-with-glibc2.29
213
+ processor: x86_64
214
+ python_version: 3.8.10
215
+ gpu:
216
+ - NVIDIA A10G
217
+ gpu_count: 1
218
+ gpu_vram_mb: 24146608128
219
+ optimum_benchmark_version: 0.2.1
220
+ optimum_benchmark_commit: null
221
+ transformers_version: 4.42.0.dev0
222
+ transformers_commit: 1de7dc7403b3b89ec421d43a8c9ee245211a61f6
223
+ accelerate_version: 0.32.0.dev0
224
+ accelerate_commit: null
225
+ diffusers_version: null
226
+ diffusers_commit: null
227
+ optimum_version: 1.21.0.dev0
228
+ optimum_commit: null
229
+ timm_version: 0.9.16
230
+ timm_commit: null
231
+ peft_version: 0.11.2.dev0
232
+ peft_commit: null
2024-06-27/summaries.json ADDED
@@ -0,0 +1,41 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ [
2
+ {
3
+ "model": "google/gemma-2b",
4
+ "commit": "1de7dc7403b3b89ec421d43a8c9ee245211a61f6",
5
+ "config": "backend.cache_implementation=null,backend.torch_compile=False",
6
+ "metrics": {
7
+ "prefill.latency.mean": 0.01987712001800537,
8
+ "prefill.throughput.value": 352.16369341530174,
9
+ "decode.latency.mean": 2.3944873046875,
10
+ "decode.throughput.value": 53.03849377333597,
11
+ "per_token.latency.mean": 0.018929073069877775,
12
+ "per_token.throughput.value": 52.82878862099807
13
+ }
14
+ },
15
+ {
16
+ "model": "google/gemma-2b",
17
+ "commit": "1de7dc7403b3b89ec421d43a8c9ee245211a61f6",
18
+ "config": "backend.cache_implementation=static,backend.torch_compile=False",
19
+ "metrics": {
20
+ "prefill.latency.mean": 0.022656448364257814,
21
+ "prefill.throughput.value": 308.96281215210263,
22
+ "decode.latency.mean": 2.652583251953125,
23
+ "decode.throughput.value": 47.877856390176845,
24
+ "per_token.latency.mean": 0.020973070302970798,
25
+ "per_token.throughput.value": 47.68019110002944
26
+ }
27
+ },
28
+ {
29
+ "model": "google/gemma-2b",
30
+ "commit": "1de7dc7403b3b89ec421d43a8c9ee245211a61f6",
31
+ "config": "backend.cache_implementation=static,backend.torch_compile=True",
32
+ "metrics": {
33
+ "prefill.latency.mean": 0.014239791870117188,
34
+ "prefill.throughput.value": 491.5802185767756,
35
+ "decode.latency.mean": 1.572478271484375,
36
+ "decode.throughput.value": 80.76423204252966,
37
+ "per_token.latency.mean": 0.01243496223871887,
38
+ "per_token.throughput.value": 80.41841871351163
39
+ }
40
+ }
41
+ ]
2024-06-27/summary.json ADDED
@@ -0,0 +1,40 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "google/gemma-2b": {
3
+ "backend.cache_implementation=null,backend.torch_compile=False": {
4
+ "1de7dc7403b3b89ec421d43a8c9ee245211a61f6": {
5
+ "metrics": {
6
+ "prefill.latency.mean": 0.01987712001800537,
7
+ "prefill.throughput.value": 352.16369341530174,
8
+ "decode.latency.mean": 2.3944873046875,
9
+ "decode.throughput.value": 53.03849377333597,
10
+ "per_token.latency.mean": 0.018929073069877775,
11
+ "per_token.throughput.value": 52.82878862099807
12
+ }
13
+ }
14
+ },
15
+ "backend.cache_implementation=static,backend.torch_compile=False": {
16
+ "1de7dc7403b3b89ec421d43a8c9ee245211a61f6": {
17
+ "metrics": {
18
+ "prefill.latency.mean": 0.022656448364257814,
19
+ "prefill.throughput.value": 308.96281215210263,
20
+ "decode.latency.mean": 2.652583251953125,
21
+ "decode.throughput.value": 47.877856390176845,
22
+ "per_token.latency.mean": 0.020973070302970798,
23
+ "per_token.throughput.value": 47.68019110002944
24
+ }
25
+ }
26
+ },
27
+ "backend.cache_implementation=static,backend.torch_compile=True": {
28
+ "1de7dc7403b3b89ec421d43a8c9ee245211a61f6": {
29
+ "metrics": {
30
+ "prefill.latency.mean": 0.014239791870117188,
31
+ "prefill.throughput.value": 491.5802185767756,
32
+ "decode.latency.mean": 1.572478271484375,
33
+ "decode.throughput.value": 80.76423204252966,
34
+ "per_token.latency.mean": 0.01243496223871887,
35
+ "per_token.throughput.value": 80.41841871351163
36
+ }
37
+ }
38
+ }
39
+ }
40
+ }