hf-transformers-bot commited on
Commit
df108f2
1 Parent(s): 29eb5a3

Upload folder using huggingface_hub

Browse files
Files changed (32) hide show
  1. 2024-06-06/commit=940fde8dafaecb8f17b588c5078291f1c1a420c8/backend.cache_implementation=null,backend.model=google/gemma-2b,backend.torch_compile=False/.hydra/config.yaml +91 -0
  2. 2024-06-06/commit=940fde8dafaecb8f17b588c5078291f1c1a420c8/backend.cache_implementation=null,backend.model=google/gemma-2b,backend.torch_compile=False/.hydra/hydra.yaml +141 -0
  3. 2024-06-06/commit=940fde8dafaecb8f17b588c5078291f1c1a420c8/backend.cache_implementation=null,backend.model=google/gemma-2b,backend.torch_compile=False/.hydra/overrides.yaml +3 -0
  4. 2024-06-06/commit=940fde8dafaecb8f17b588c5078291f1c1a420c8/backend.cache_implementation=null,backend.model=google/gemma-2b,backend.torch_compile=False/benchmark.json +443 -0
  5. 2024-06-06/commit=940fde8dafaecb8f17b588c5078291f1c1a420c8/backend.cache_implementation=null,backend.model=google/gemma-2b,backend.torch_compile=False/benchmark.log +0 -0
  6. 2024-06-06/commit=940fde8dafaecb8f17b588c5078291f1c1a420c8/backend.cache_implementation=null,backend.model=google/gemma-2b,backend.torch_compile=False/benchmark_config.json +102 -0
  7. 2024-06-06/commit=940fde8dafaecb8f17b588c5078291f1c1a420c8/backend.cache_implementation=null,backend.model=google/gemma-2b,backend.torch_compile=False/benchmark_report.json +339 -0
  8. 2024-06-06/commit=940fde8dafaecb8f17b588c5078291f1c1a420c8/backend.cache_implementation=null,backend.model=google/gemma-2b,backend.torch_compile=False/summary.json +13 -0
  9. 2024-06-06/commit=940fde8dafaecb8f17b588c5078291f1c1a420c8/backend.cache_implementation=null,backend.model=google/gemma-2b,backend.torch_compile=True/.hydra/config.yaml +91 -0
  10. 2024-06-06/commit=940fde8dafaecb8f17b588c5078291f1c1a420c8/backend.cache_implementation=null,backend.model=google/gemma-2b,backend.torch_compile=True/.hydra/hydra.yaml +141 -0
  11. 2024-06-06/commit=940fde8dafaecb8f17b588c5078291f1c1a420c8/backend.cache_implementation=null,backend.model=google/gemma-2b,backend.torch_compile=True/.hydra/overrides.yaml +3 -0
  12. 2024-06-06/commit=940fde8dafaecb8f17b588c5078291f1c1a420c8/backend.cache_implementation=null,backend.model=google/gemma-2b,backend.torch_compile=True/benchmark.log +1 -0
  13. 2024-06-06/commit=940fde8dafaecb8f17b588c5078291f1c1a420c8/backend.cache_implementation=null,backend.model=google/gemma-2b,backend.torch_compile=True/benchmark_config.json +102 -0
  14. 2024-06-06/commit=940fde8dafaecb8f17b588c5078291f1c1a420c8/backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=False/.hydra/config.yaml +91 -0
  15. 2024-06-06/commit=940fde8dafaecb8f17b588c5078291f1c1a420c8/backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=False/.hydra/hydra.yaml +141 -0
  16. 2024-06-06/commit=940fde8dafaecb8f17b588c5078291f1c1a420c8/backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=False/.hydra/overrides.yaml +3 -0
  17. 2024-06-06/commit=940fde8dafaecb8f17b588c5078291f1c1a420c8/backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=False/benchmark.json +443 -0
  18. 2024-06-06/commit=940fde8dafaecb8f17b588c5078291f1c1a420c8/backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=False/benchmark.log +0 -0
  19. 2024-06-06/commit=940fde8dafaecb8f17b588c5078291f1c1a420c8/backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=False/benchmark_config.json +102 -0
  20. 2024-06-06/commit=940fde8dafaecb8f17b588c5078291f1c1a420c8/backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=False/benchmark_report.json +339 -0
  21. 2024-06-06/commit=940fde8dafaecb8f17b588c5078291f1c1a420c8/backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=False/summary.json +13 -0
  22. 2024-06-06/commit=940fde8dafaecb8f17b588c5078291f1c1a420c8/backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=True/.hydra/config.yaml +91 -0
  23. 2024-06-06/commit=940fde8dafaecb8f17b588c5078291f1c1a420c8/backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=True/.hydra/hydra.yaml +141 -0
  24. 2024-06-06/commit=940fde8dafaecb8f17b588c5078291f1c1a420c8/backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=True/.hydra/overrides.yaml +3 -0
  25. 2024-06-06/commit=940fde8dafaecb8f17b588c5078291f1c1a420c8/backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=True/benchmark.json +443 -0
  26. 2024-06-06/commit=940fde8dafaecb8f17b588c5078291f1c1a420c8/backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=True/benchmark.log +0 -0
  27. 2024-06-06/commit=940fde8dafaecb8f17b588c5078291f1c1a420c8/backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=True/benchmark_config.json +102 -0
  28. 2024-06-06/commit=940fde8dafaecb8f17b588c5078291f1c1a420c8/backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=True/benchmark_report.json +339 -0
  29. 2024-06-06/commit=940fde8dafaecb8f17b588c5078291f1c1a420c8/backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=True/summary.json +13 -0
  30. 2024-06-06/commit=940fde8dafaecb8f17b588c5078291f1c1a420c8/multirun.yaml +232 -0
  31. 2024-06-06/summaries.json +41 -0
  32. 2024-06-06/summary.json +40 -0
2024-06-06/commit=940fde8dafaecb8f17b588c5078291f1c1a420c8/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-5.10.217-205.860.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: 940fde8dafaecb8f17b588c5078291f1c1a420c8
82
+ accelerate_version: 0.31.0.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
2024-06-06/commit=940fde8dafaecb8f17b588c5078291f1c1a420c8/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/tmp3hzcmehw/commit=940fde8dafaecb8f17b588c5078291f1c1a420c8/${hydra.job.override_dirname}
4
+ sweep:
5
+ dir: _benchmark/tmp3hzcmehw/commit=940fde8dafaecb8f17b588c5078291f1c1a420c8
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
+ $HYDRA_CONFIG_GROUPS
62
+
63
+
64
+ Use ''--cfg hydra'' to Show the Hydra config.
65
+
66
+ '
67
+ hydra_help: ???
68
+ hydra_logging:
69
+ version: 1
70
+ root:
71
+ level: ERROR
72
+ disable_existing_loggers: true
73
+ job_logging:
74
+ version: 1
75
+ root:
76
+ level: ERROR
77
+ disable_existing_loggers: true
78
+ env: {}
79
+ mode: MULTIRUN
80
+ searchpath: []
81
+ callbacks: {}
82
+ output_subdir: .hydra
83
+ overrides:
84
+ hydra:
85
+ - hydra/job_logging=disabled
86
+ - hydra/hydra_logging=disabled
87
+ - hydra.sweep.dir=_benchmark/tmp3hzcmehw/commit\=940fde8dafaecb8f17b588c5078291f1c1a420c8
88
+ - hydra.run.dir=_benchmark/tmp3hzcmehw/commit\=940fde8dafaecb8f17b588c5078291f1c1a420c8/${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/tmp3hzcmehw/commit=940fde8dafaecb8f17b588c5078291f1c1a420c8/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
2024-06-06/commit=940fde8dafaecb8f17b588c5078291f1c1a420c8/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
2024-06-06/commit=940fde8dafaecb8f17b588c5078291f1c1a420c8/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-5.10.217-205.860.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": "940fde8dafaecb8f17b588c5078291f1c1a420c8",
92
+ "accelerate_version": "0.31.0.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": 1706.070016,
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": 0.04067040061950684,
118
+ "mean": 0.02033520030975342,
119
+ "stdev": 0.0006261434555053721,
120
+ "p50": 0.02033520030975342,
121
+ "p90": 0.020836115074157717,
122
+ "p95": 0.020898729419708252,
123
+ "p99": 0.020948820896148683,
124
+ "values": [
125
+ 0.02096134376525879,
126
+ 0.019709056854248046
127
+ ]
128
+ },
129
+ "throughput": {
130
+ "unit": "tokens/s",
131
+ "value": 344.2306883322204
132
+ },
133
+ "energy": null,
134
+ "efficiency": null
135
+ },
136
+ "decode": {
137
+ "memory": {
138
+ "unit": "MB",
139
+ "max_ram": 1706.090496,
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": 4.956599609375,
149
+ "mean": 2.4782998046875,
150
+ "stdev": 0.039773681640625114,
151
+ "p50": 2.4782998046875,
152
+ "p90": 2.51011875,
153
+ "p95": 2.5140961181640624,
154
+ "p99": 2.5172780126953125,
155
+ "values": [
156
+ 2.518073486328125,
157
+ 2.438526123046875
158
+ ]
159
+ },
160
+ "throughput": {
161
+ "unit": "tokens/s",
162
+ "value": 51.244808945144555
163
+ },
164
+ "energy": null,
165
+ "efficiency": null
166
+ },
167
+ "per_token": {
168
+ "memory": null,
169
+ "latency": {
170
+ "unit": "s",
171
+ "count": 253,
172
+ "total": 4.955872259140021,
173
+ "mean": 0.01958842790173919,
174
+ "stdev": 0.0013144451874351104,
175
+ "p50": 0.019516416549682617,
176
+ "p90": 0.020218470001220703,
177
+ "p95": 0.020321279907226562,
178
+ "p99": 0.021021122512817382,
179
+ "values": [
180
+ 0.019998720169067383,
181
+ 0.02016972732543945,
182
+ 0.02066431999206543,
183
+ 0.019631103515625,
184
+ 0.01958502388000488,
185
+ 0.019400703430175782,
186
+ 0.02102272033691406,
187
+ 0.020257791519165038,
188
+ 0.020173824310302735,
189
+ 0.019523584365844726,
190
+ 0.019631103515625,
191
+ 0.02005504035949707,
192
+ 0.02021887969970703,
193
+ 0.020304895401000975,
194
+ 0.019713024139404296,
195
+ 0.019705856323242187,
196
+ 0.02023628807067871,
197
+ 0.0217262077331543,
198
+ 0.021019647598266602,
199
+ 0.020495359420776366,
200
+ 0.020239360809326173,
201
+ 0.02025267219543457,
202
+ 0.02021683120727539,
203
+ 0.01940275192260742,
204
+ 0.020140031814575195,
205
+ 0.01946931266784668,
206
+ 0.02031718444824219,
207
+ 0.020945920944213867,
208
+ 0.020559871673583984,
209
+ 0.020274175643920898,
210
+ 0.019732479095458985,
211
+ 0.020115455627441405,
212
+ 0.02027008056640625,
213
+ 0.020329471588134765,
214
+ 0.020633600234985353,
215
+ 0.020303871154785155,
216
+ 0.020271104812622072,
217
+ 0.020297727584838866,
218
+ 0.020175872802734376,
219
+ 0.020144128799438478,
220
+ 0.020048896789550782,
221
+ 0.020113407135009767,
222
+ 0.02012057685852051,
223
+ 0.019143680572509765,
224
+ 0.01927884864807129,
225
+ 0.019360767364501954,
226
+ 0.01986867141723633,
227
+ 0.019997695922851562,
228
+ 0.019954687118530275,
229
+ 0.01993011283874512,
230
+ 0.018960384368896483,
231
+ 0.019819520950317384,
232
+ 0.01946828842163086,
233
+ 0.019733503341674806,
234
+ 0.019719167709350584,
235
+ 0.019689472198486328,
236
+ 0.019862527847290038,
237
+ 0.019449855804443358,
238
+ 0.019546112060546874,
239
+ 0.01946214485168457,
240
+ 0.018907136917114258,
241
+ 0.019056640625,
242
+ 0.0198656005859375,
243
+ 0.020327423095703127,
244
+ 0.020039680480957032,
245
+ 0.01961881637573242,
246
+ 0.019581951141357423,
247
+ 0.019893247604370116,
248
+ 0.020392959594726562,
249
+ 0.019923967361450197,
250
+ 0.0198287353515625,
251
+ 0.01987993621826172,
252
+ 0.019994623184204103,
253
+ 0.019958784103393554,
254
+ 0.019572736740112305,
255
+ 0.019508224487304687,
256
+ 0.019546112060546874,
257
+ 0.02002742385864258,
258
+ 0.019822559356689452,
259
+ 0.019538944244384765,
260
+ 0.019792896270751953,
261
+ 0.02007244873046875,
262
+ 0.020915199279785156,
263
+ 0.02005299186706543,
264
+ 0.01988812828063965,
265
+ 0.01909350395202637,
266
+ 0.01886720085144043,
267
+ 0.01965977668762207,
268
+ 0.019588096618652344,
269
+ 0.019664896011352538,
270
+ 0.01983692741394043,
271
+ 0.01985536003112793,
272
+ 0.01979903984069824,
273
+ 0.01965158462524414,
274
+ 0.018934783935546876,
275
+ 0.01909350395202637,
276
+ 0.01907302474975586,
277
+ 0.019619840621948242,
278
+ 0.020059135437011717,
279
+ 0.019704832077026366,
280
+ 0.019512319564819337,
281
+ 0.019552255630493166,
282
+ 0.019737600326538086,
283
+ 0.020000768661499024,
284
+ 0.01985024070739746,
285
+ 0.019076095581054688,
286
+ 0.01905766487121582,
287
+ 0.0200263671875,
288
+ 0.019851264953613282,
289
+ 0.019791872024536132,
290
+ 0.019803136825561524,
291
+ 0.019825664520263672,
292
+ 0.019842048645019532,
293
+ 0.01984409523010254,
294
+ 0.019558399200439454,
295
+ 0.019490816116333007,
296
+ 0.018880512237548826,
297
+ 0.0188590087890625,
298
+ 0.019554304122924804,
299
+ 0.019516416549682617,
300
+ 0.019594240188598632,
301
+ 0.019573759078979493,
302
+ 0.01906585693359375,
303
+ 0.019112960815429687,
304
+ 0.019139583587646485,
305
+ 0.019805183410644533,
306
+ 0.03877478408813476,
307
+ 0.01965977668762207,
308
+ 0.019732479095458985,
309
+ 0.018989055633544923,
310
+ 0.018868223190307617,
311
+ 0.018931711196899414,
312
+ 0.019110912322998046,
313
+ 0.018759679794311524,
314
+ 0.018709503173828124,
315
+ 0.01900339126586914,
316
+ 0.019736576080322265,
317
+ 0.01988403129577637,
318
+ 0.02025881576538086,
319
+ 0.01982361602783203,
320
+ 0.01903104019165039,
321
+ 0.018960384368896483,
322
+ 0.018959360122680666,
323
+ 0.019883007049560548,
324
+ 0.02004684829711914,
325
+ 0.019795967102050782,
326
+ 0.018982912063598634,
327
+ 0.018881536483764647,
328
+ 0.019887104034423828,
329
+ 0.019779584884643556,
330
+ 0.019714048385620117,
331
+ 0.019744768142700195,
332
+ 0.019725311279296876,
333
+ 0.019984384536743165,
334
+ 0.01984819221496582,
335
+ 0.019769344329833984,
336
+ 0.018970624923706055,
337
+ 0.01942527961730957,
338
+ 0.01978265571594238,
339
+ 0.01978982353210449,
340
+ 0.01979084777832031,
341
+ 0.019712032318115233,
342
+ 0.019708896636962892,
343
+ 0.019736576080322265,
344
+ 0.019732511520385743,
345
+ 0.019745759963989258,
346
+ 0.01970790481567383,
347
+ 0.018919424057006837,
348
+ 0.018980863571166993,
349
+ 0.018880512237548826,
350
+ 0.018899967193603515,
351
+ 0.018956287384033203,
352
+ 0.018964479446411133,
353
+ 0.018896896362304686,
354
+ 0.018960384368896483,
355
+ 0.018939903259277344,
356
+ 0.018961408615112304,
357
+ 0.018958335876464845,
358
+ 0.018945024490356444,
359
+ 0.018972671508789063,
360
+ 0.018946048736572265,
361
+ 0.018945024490356444,
362
+ 0.018915327072143554,
363
+ 0.01906585693359375,
364
+ 0.019125247955322267,
365
+ 0.019092479705810548,
366
+ 0.0191016960144043,
367
+ 0.019134464263916014,
368
+ 0.019129344940185547,
369
+ 0.019100671768188478,
370
+ 0.019075071334838867,
371
+ 0.019147775650024415,
372
+ 0.019079168319702147,
373
+ 0.01908531188964844,
374
+ 0.01906790351867676,
375
+ 0.019083263397216797,
376
+ 0.019115007400512696,
377
+ 0.019117055892944337,
378
+ 0.019103744506835937,
379
+ 0.019102720260620116,
380
+ 0.01904742431640625,
381
+ 0.019078144073486326,
382
+ 0.01904947280883789,
383
+ 0.01904947280883789,
384
+ 0.019083263397216797,
385
+ 0.019179519653320314,
386
+ 0.01904537582397461,
387
+ 0.01905254364013672,
388
+ 0.019079168319702147,
389
+ 0.01907302474975586,
390
+ 0.019070976257324217,
391
+ 0.019090431213378906,
392
+ 0.01909350395202637,
393
+ 0.01908531188964844,
394
+ 0.01908940887451172,
395
+ 0.01904435157775879,
396
+ 0.01903718376159668,
397
+ 0.019075071334838867,
398
+ 0.01907302474975586,
399
+ 0.01904025650024414,
400
+ 0.01906483268737793,
401
+ 0.019817472457885742,
402
+ 0.019102720260620116,
403
+ 0.019098623275756836,
404
+ 0.019100671768188478,
405
+ 0.01904742431640625,
406
+ 0.019091455459594727,
407
+ 0.01903615951538086,
408
+ 0.019078144073486326,
409
+ 0.019116031646728517,
410
+ 0.01903513526916504,
411
+ 0.01904128074645996,
412
+ 0.019103744506835937,
413
+ 0.019001344680786132,
414
+ 0.01904128074645996,
415
+ 0.01904332733154297,
416
+ 0.01902899169921875,
417
+ 0.01906790351867676,
418
+ 0.0191016960144043,
419
+ 0.01903513526916504,
420
+ 0.019088384628295898,
421
+ 0.019042303085327148,
422
+ 0.01900441551208496,
423
+ 0.01904435157775879,
424
+ 0.01904332733154297,
425
+ 0.019084287643432618,
426
+ 0.019075071334838867,
427
+ 0.01906790351867676,
428
+ 0.01906175994873047,
429
+ 0.019009536743164062,
430
+ 0.01905356788635254,
431
+ 0.01904844856262207,
432
+ 0.01906483268737793
433
+ ]
434
+ },
435
+ "throughput": {
436
+ "unit": "tokens/s",
437
+ "value": 51.05054908011344
438
+ },
439
+ "energy": null,
440
+ "efficiency": null
441
+ }
442
+ }
443
+ }
2024-06-06/commit=940fde8dafaecb8f17b588c5078291f1c1a420c8/backend.cache_implementation=null,backend.model=google/gemma-2b,backend.torch_compile=False/benchmark.log ADDED
File without changes
2024-06-06/commit=940fde8dafaecb8f17b588c5078291f1c1a420c8/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-5.10.217-205.860.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": "940fde8dafaecb8f17b588c5078291f1c1a420c8",
91
+ "accelerate_version": "0.31.0.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
+ }
2024-06-06/commit=940fde8dafaecb8f17b588c5078291f1c1a420c8/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": 1706.070016,
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": 0.04067040061950684,
15
+ "mean": 0.02033520030975342,
16
+ "stdev": 0.0006261434555053721,
17
+ "p50": 0.02033520030975342,
18
+ "p90": 0.020836115074157717,
19
+ "p95": 0.020898729419708252,
20
+ "p99": 0.020948820896148683,
21
+ "values": [
22
+ 0.02096134376525879,
23
+ 0.019709056854248046
24
+ ]
25
+ },
26
+ "throughput": {
27
+ "unit": "tokens/s",
28
+ "value": 344.2306883322204
29
+ },
30
+ "energy": null,
31
+ "efficiency": null
32
+ },
33
+ "decode": {
34
+ "memory": {
35
+ "unit": "MB",
36
+ "max_ram": 1706.090496,
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": 4.956599609375,
46
+ "mean": 2.4782998046875,
47
+ "stdev": 0.039773681640625114,
48
+ "p50": 2.4782998046875,
49
+ "p90": 2.51011875,
50
+ "p95": 2.5140961181640624,
51
+ "p99": 2.5172780126953125,
52
+ "values": [
53
+ 2.518073486328125,
54
+ 2.438526123046875
55
+ ]
56
+ },
57
+ "throughput": {
58
+ "unit": "tokens/s",
59
+ "value": 51.244808945144555
60
+ },
61
+ "energy": null,
62
+ "efficiency": null
63
+ },
64
+ "per_token": {
65
+ "memory": null,
66
+ "latency": {
67
+ "unit": "s",
68
+ "count": 253,
69
+ "total": 4.955872259140021,
70
+ "mean": 0.01958842790173919,
71
+ "stdev": 0.0013144451874351104,
72
+ "p50": 0.019516416549682617,
73
+ "p90": 0.020218470001220703,
74
+ "p95": 0.020321279907226562,
75
+ "p99": 0.021021122512817382,
76
+ "values": [
77
+ 0.019998720169067383,
78
+ 0.02016972732543945,
79
+ 0.02066431999206543,
80
+ 0.019631103515625,
81
+ 0.01958502388000488,
82
+ 0.019400703430175782,
83
+ 0.02102272033691406,
84
+ 0.020257791519165038,
85
+ 0.020173824310302735,
86
+ 0.019523584365844726,
87
+ 0.019631103515625,
88
+ 0.02005504035949707,
89
+ 0.02021887969970703,
90
+ 0.020304895401000975,
91
+ 0.019713024139404296,
92
+ 0.019705856323242187,
93
+ 0.02023628807067871,
94
+ 0.0217262077331543,
95
+ 0.021019647598266602,
96
+ 0.020495359420776366,
97
+ 0.020239360809326173,
98
+ 0.02025267219543457,
99
+ 0.02021683120727539,
100
+ 0.01940275192260742,
101
+ 0.020140031814575195,
102
+ 0.01946931266784668,
103
+ 0.02031718444824219,
104
+ 0.020945920944213867,
105
+ 0.020559871673583984,
106
+ 0.020274175643920898,
107
+ 0.019732479095458985,
108
+ 0.020115455627441405,
109
+ 0.02027008056640625,
110
+ 0.020329471588134765,
111
+ 0.020633600234985353,
112
+ 0.020303871154785155,
113
+ 0.020271104812622072,
114
+ 0.020297727584838866,
115
+ 0.020175872802734376,
116
+ 0.020144128799438478,
117
+ 0.020048896789550782,
118
+ 0.020113407135009767,
119
+ 0.02012057685852051,
120
+ 0.019143680572509765,
121
+ 0.01927884864807129,
122
+ 0.019360767364501954,
123
+ 0.01986867141723633,
124
+ 0.019997695922851562,
125
+ 0.019954687118530275,
126
+ 0.01993011283874512,
127
+ 0.018960384368896483,
128
+ 0.019819520950317384,
129
+ 0.01946828842163086,
130
+ 0.019733503341674806,
131
+ 0.019719167709350584,
132
+ 0.019689472198486328,
133
+ 0.019862527847290038,
134
+ 0.019449855804443358,
135
+ 0.019546112060546874,
136
+ 0.01946214485168457,
137
+ 0.018907136917114258,
138
+ 0.019056640625,
139
+ 0.0198656005859375,
140
+ 0.020327423095703127,
141
+ 0.020039680480957032,
142
+ 0.01961881637573242,
143
+ 0.019581951141357423,
144
+ 0.019893247604370116,
145
+ 0.020392959594726562,
146
+ 0.019923967361450197,
147
+ 0.0198287353515625,
148
+ 0.01987993621826172,
149
+ 0.019994623184204103,
150
+ 0.019958784103393554,
151
+ 0.019572736740112305,
152
+ 0.019508224487304687,
153
+ 0.019546112060546874,
154
+ 0.02002742385864258,
155
+ 0.019822559356689452,
156
+ 0.019538944244384765,
157
+ 0.019792896270751953,
158
+ 0.02007244873046875,
159
+ 0.020915199279785156,
160
+ 0.02005299186706543,
161
+ 0.01988812828063965,
162
+ 0.01909350395202637,
163
+ 0.01886720085144043,
164
+ 0.01965977668762207,
165
+ 0.019588096618652344,
166
+ 0.019664896011352538,
167
+ 0.01983692741394043,
168
+ 0.01985536003112793,
169
+ 0.01979903984069824,
170
+ 0.01965158462524414,
171
+ 0.018934783935546876,
172
+ 0.01909350395202637,
173
+ 0.01907302474975586,
174
+ 0.019619840621948242,
175
+ 0.020059135437011717,
176
+ 0.019704832077026366,
177
+ 0.019512319564819337,
178
+ 0.019552255630493166,
179
+ 0.019737600326538086,
180
+ 0.020000768661499024,
181
+ 0.01985024070739746,
182
+ 0.019076095581054688,
183
+ 0.01905766487121582,
184
+ 0.0200263671875,
185
+ 0.019851264953613282,
186
+ 0.019791872024536132,
187
+ 0.019803136825561524,
188
+ 0.019825664520263672,
189
+ 0.019842048645019532,
190
+ 0.01984409523010254,
191
+ 0.019558399200439454,
192
+ 0.019490816116333007,
193
+ 0.018880512237548826,
194
+ 0.0188590087890625,
195
+ 0.019554304122924804,
196
+ 0.019516416549682617,
197
+ 0.019594240188598632,
198
+ 0.019573759078979493,
199
+ 0.01906585693359375,
200
+ 0.019112960815429687,
201
+ 0.019139583587646485,
202
+ 0.019805183410644533,
203
+ 0.03877478408813476,
204
+ 0.01965977668762207,
205
+ 0.019732479095458985,
206
+ 0.018989055633544923,
207
+ 0.018868223190307617,
208
+ 0.018931711196899414,
209
+ 0.019110912322998046,
210
+ 0.018759679794311524,
211
+ 0.018709503173828124,
212
+ 0.01900339126586914,
213
+ 0.019736576080322265,
214
+ 0.01988403129577637,
215
+ 0.02025881576538086,
216
+ 0.01982361602783203,
217
+ 0.01903104019165039,
218
+ 0.018960384368896483,
219
+ 0.018959360122680666,
220
+ 0.019883007049560548,
221
+ 0.02004684829711914,
222
+ 0.019795967102050782,
223
+ 0.018982912063598634,
224
+ 0.018881536483764647,
225
+ 0.019887104034423828,
226
+ 0.019779584884643556,
227
+ 0.019714048385620117,
228
+ 0.019744768142700195,
229
+ 0.019725311279296876,
230
+ 0.019984384536743165,
231
+ 0.01984819221496582,
232
+ 0.019769344329833984,
233
+ 0.018970624923706055,
234
+ 0.01942527961730957,
235
+ 0.01978265571594238,
236
+ 0.01978982353210449,
237
+ 0.01979084777832031,
238
+ 0.019712032318115233,
239
+ 0.019708896636962892,
240
+ 0.019736576080322265,
241
+ 0.019732511520385743,
242
+ 0.019745759963989258,
243
+ 0.01970790481567383,
244
+ 0.018919424057006837,
245
+ 0.018980863571166993,
246
+ 0.018880512237548826,
247
+ 0.018899967193603515,
248
+ 0.018956287384033203,
249
+ 0.018964479446411133,
250
+ 0.018896896362304686,
251
+ 0.018960384368896483,
252
+ 0.018939903259277344,
253
+ 0.018961408615112304,
254
+ 0.018958335876464845,
255
+ 0.018945024490356444,
256
+ 0.018972671508789063,
257
+ 0.018946048736572265,
258
+ 0.018945024490356444,
259
+ 0.018915327072143554,
260
+ 0.01906585693359375,
261
+ 0.019125247955322267,
262
+ 0.019092479705810548,
263
+ 0.0191016960144043,
264
+ 0.019134464263916014,
265
+ 0.019129344940185547,
266
+ 0.019100671768188478,
267
+ 0.019075071334838867,
268
+ 0.019147775650024415,
269
+ 0.019079168319702147,
270
+ 0.01908531188964844,
271
+ 0.01906790351867676,
272
+ 0.019083263397216797,
273
+ 0.019115007400512696,
274
+ 0.019117055892944337,
275
+ 0.019103744506835937,
276
+ 0.019102720260620116,
277
+ 0.01904742431640625,
278
+ 0.019078144073486326,
279
+ 0.01904947280883789,
280
+ 0.01904947280883789,
281
+ 0.019083263397216797,
282
+ 0.019179519653320314,
283
+ 0.01904537582397461,
284
+ 0.01905254364013672,
285
+ 0.019079168319702147,
286
+ 0.01907302474975586,
287
+ 0.019070976257324217,
288
+ 0.019090431213378906,
289
+ 0.01909350395202637,
290
+ 0.01908531188964844,
291
+ 0.01908940887451172,
292
+ 0.01904435157775879,
293
+ 0.01903718376159668,
294
+ 0.019075071334838867,
295
+ 0.01907302474975586,
296
+ 0.01904025650024414,
297
+ 0.01906483268737793,
298
+ 0.019817472457885742,
299
+ 0.019102720260620116,
300
+ 0.019098623275756836,
301
+ 0.019100671768188478,
302
+ 0.01904742431640625,
303
+ 0.019091455459594727,
304
+ 0.01903615951538086,
305
+ 0.019078144073486326,
306
+ 0.019116031646728517,
307
+ 0.01903513526916504,
308
+ 0.01904128074645996,
309
+ 0.019103744506835937,
310
+ 0.019001344680786132,
311
+ 0.01904128074645996,
312
+ 0.01904332733154297,
313
+ 0.01902899169921875,
314
+ 0.01906790351867676,
315
+ 0.0191016960144043,
316
+ 0.01903513526916504,
317
+ 0.019088384628295898,
318
+ 0.019042303085327148,
319
+ 0.01900441551208496,
320
+ 0.01904435157775879,
321
+ 0.01904332733154297,
322
+ 0.019084287643432618,
323
+ 0.019075071334838867,
324
+ 0.01906790351867676,
325
+ 0.01906175994873047,
326
+ 0.019009536743164062,
327
+ 0.01905356788635254,
328
+ 0.01904844856262207,
329
+ 0.01906483268737793
330
+ ]
331
+ },
332
+ "throughput": {
333
+ "unit": "tokens/s",
334
+ "value": 51.05054908011344
335
+ },
336
+ "energy": null,
337
+ "efficiency": null
338
+ }
339
+ }
2024-06-06/commit=940fde8dafaecb8f17b588c5078291f1c1a420c8/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": "940fde8dafaecb8f17b588c5078291f1c1a420c8",
4
+ "config": "backend.cache_implementation=null,backend.torch_compile=False",
5
+ "metrics": {
6
+ "prefill.latency.mean": 0.02033520030975342,
7
+ "prefill.throughput.value": 344.2306883322204,
8
+ "decode.latency.mean": 2.4782998046875,
9
+ "decode.throughput.value": 51.244808945144555,
10
+ "per_token.latency.mean": 0.01958842790173919,
11
+ "per_token.throughput.value": 51.05054908011344
12
+ }
13
+ }
2024-06-06/commit=940fde8dafaecb8f17b588c5078291f1c1a420c8/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-5.10.217-205.860.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: 940fde8dafaecb8f17b588c5078291f1c1a420c8
82
+ accelerate_version: 0.31.0.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
2024-06-06/commit=940fde8dafaecb8f17b588c5078291f1c1a420c8/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/tmp3hzcmehw/commit=940fde8dafaecb8f17b588c5078291f1c1a420c8/${hydra.job.override_dirname}
4
+ sweep:
5
+ dir: _benchmark/tmp3hzcmehw/commit=940fde8dafaecb8f17b588c5078291f1c1a420c8
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
+ $HYDRA_CONFIG_GROUPS
62
+
63
+
64
+ Use ''--cfg hydra'' to Show the Hydra config.
65
+
66
+ '
67
+ hydra_help: ???
68
+ hydra_logging:
69
+ version: 1
70
+ root:
71
+ level: ERROR
72
+ disable_existing_loggers: true
73
+ job_logging:
74
+ version: 1
75
+ root:
76
+ level: ERROR
77
+ disable_existing_loggers: true
78
+ env: {}
79
+ mode: MULTIRUN
80
+ searchpath: []
81
+ callbacks: {}
82
+ output_subdir: .hydra
83
+ overrides:
84
+ hydra:
85
+ - hydra/job_logging=disabled
86
+ - hydra/hydra_logging=disabled
87
+ - hydra.sweep.dir=_benchmark/tmp3hzcmehw/commit\=940fde8dafaecb8f17b588c5078291f1c1a420c8
88
+ - hydra.run.dir=_benchmark/tmp3hzcmehw/commit\=940fde8dafaecb8f17b588c5078291f1c1a420c8/${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/tmp3hzcmehw/commit=940fde8dafaecb8f17b588c5078291f1c1a420c8/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
2024-06-06/commit=940fde8dafaecb8f17b588c5078291f1c1a420c8/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
2024-06-06/commit=940fde8dafaecb8f17b588c5078291f1c1a420c8/backend.cache_implementation=null,backend.model=google/gemma-2b,backend.torch_compile=True/benchmark.log ADDED
@@ -0,0 +1 @@
 
 
1
+ [ISOLATED-PROCESS][2024-06-06 02:34:13,744][process][ERROR] - + Sending traceback to main process
2024-06-06/commit=940fde8dafaecb8f17b588c5078291f1c1a420c8/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-5.10.217-205.860.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": "940fde8dafaecb8f17b588c5078291f1c1a420c8",
91
+ "accelerate_version": "0.31.0.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
+ }
2024-06-06/commit=940fde8dafaecb8f17b588c5078291f1c1a420c8/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-5.10.217-205.860.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: 940fde8dafaecb8f17b588c5078291f1c1a420c8
82
+ accelerate_version: 0.31.0.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
2024-06-06/commit=940fde8dafaecb8f17b588c5078291f1c1a420c8/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/tmp3hzcmehw/commit=940fde8dafaecb8f17b588c5078291f1c1a420c8/${hydra.job.override_dirname}
4
+ sweep:
5
+ dir: _benchmark/tmp3hzcmehw/commit=940fde8dafaecb8f17b588c5078291f1c1a420c8
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
+ $HYDRA_CONFIG_GROUPS
62
+
63
+
64
+ Use ''--cfg hydra'' to Show the Hydra config.
65
+
66
+ '
67
+ hydra_help: ???
68
+ hydra_logging:
69
+ version: 1
70
+ root:
71
+ level: ERROR
72
+ disable_existing_loggers: true
73
+ job_logging:
74
+ version: 1
75
+ root:
76
+ level: ERROR
77
+ disable_existing_loggers: true
78
+ env: {}
79
+ mode: MULTIRUN
80
+ searchpath: []
81
+ callbacks: {}
82
+ output_subdir: .hydra
83
+ overrides:
84
+ hydra:
85
+ - hydra/job_logging=disabled
86
+ - hydra/hydra_logging=disabled
87
+ - hydra.sweep.dir=_benchmark/tmp3hzcmehw/commit\=940fde8dafaecb8f17b588c5078291f1c1a420c8
88
+ - hydra.run.dir=_benchmark/tmp3hzcmehw/commit\=940fde8dafaecb8f17b588c5078291f1c1a420c8/${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/tmp3hzcmehw/commit=940fde8dafaecb8f17b588c5078291f1c1a420c8/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
2024-06-06/commit=940fde8dafaecb8f17b588c5078291f1c1a420c8/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
2024-06-06/commit=940fde8dafaecb8f17b588c5078291f1c1a420c8/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-5.10.217-205.860.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": "940fde8dafaecb8f17b588c5078291f1c1a420c8",
92
+ "accelerate_version": "0.31.0.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": 1754.882048,
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": 0.05063795280456543,
118
+ "mean": 0.025318976402282714,
119
+ "stdev": 0.00370678424835205,
120
+ "p50": 0.025318976402282714,
121
+ "p90": 0.028284403800964357,
122
+ "p95": 0.02865508222579956,
123
+ "p99": 0.028951624965667725,
124
+ "values": [
125
+ 0.029025760650634766,
126
+ 0.021612192153930666
127
+ ]
128
+ },
129
+ "throughput": {
130
+ "unit": "tokens/s",
131
+ "value": 276.4724722192518
132
+ },
133
+ "energy": null,
134
+ "efficiency": null
135
+ },
136
+ "decode": {
137
+ "memory": {
138
+ "unit": "MB",
139
+ "max_ram": 1754.898432,
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": 5.07578759765625,
149
+ "mean": 2.537893798828125,
150
+ "stdev": 0.016163574218750032,
151
+ "p50": 2.537893798828125,
152
+ "p90": 2.550824658203125,
153
+ "p95": 2.552441015625,
154
+ "p99": 2.5537341015625,
155
+ "values": [
156
+ 2.554057373046875,
157
+ 2.521730224609375
158
+ ]
159
+ },
160
+ "throughput": {
161
+ "unit": "tokens/s",
162
+ "value": 50.04149506123636
163
+ },
164
+ "energy": null,
165
+ "efficiency": null
166
+ },
167
+ "per_token": {
168
+ "memory": null,
169
+ "latency": {
170
+ "unit": "s",
171
+ "count": 253,
172
+ "total": 5.075155963897701,
173
+ "mean": 0.020059904995643103,
174
+ "stdev": 0.0014278275260381915,
175
+ "p50": 0.019826688766479493,
176
+ "p90": 0.02054430694580078,
177
+ "p95": 0.020739276123046872,
178
+ "p99": 0.02157543487548828,
179
+ "values": [
180
+ 0.022627328872680662,
181
+ 0.021020671844482423,
182
+ 0.020544511795043945,
183
+ 0.020543487548828124,
184
+ 0.020335615158081053,
185
+ 0.020550655364990233,
186
+ 0.020246528625488282,
187
+ 0.02031718444824219,
188
+ 0.0204083194732666,
189
+ 0.020518911361694335,
190
+ 0.020594688415527345,
191
+ 0.02019327926635742,
192
+ 0.02066227149963379,
193
+ 0.020771839141845702,
194
+ 0.021372928619384765,
195
+ 0.021161983489990235,
196
+ 0.02122444725036621,
197
+ 0.02126643180847168,
198
+ 0.02122444725036621,
199
+ 0.020161535263061522,
200
+ 0.02022707176208496,
201
+ 0.020192256927490236,
202
+ 0.02023321533203125,
203
+ 0.020167680740356447,
204
+ 0.020239360809326173,
205
+ 0.020591615676879883,
206
+ 0.02167500877380371,
207
+ 0.020717567443847656,
208
+ 0.02045952033996582,
209
+ 0.020602880477905275,
210
+ 0.020521984100341797,
211
+ 0.02045337677001953,
212
+ 0.020580352783203124,
213
+ 0.020709375381469726,
214
+ 0.02025164794921875,
215
+ 0.020257791519165038,
216
+ 0.020273151397705077,
217
+ 0.020230144500732423,
218
+ 0.020360191345214843,
219
+ 0.02008064079284668,
220
+ 0.020167680740356447,
221
+ 0.02005299186706543,
222
+ 0.02012057685852051,
223
+ 0.02020147132873535,
224
+ 0.020109312057495117,
225
+ 0.01982771110534668,
226
+ 0.020176895141601564,
227
+ 0.019767295837402343,
228
+ 0.019759103775024413,
229
+ 0.019755008697509766,
230
+ 0.019775487899780272,
231
+ 0.019769344329833984,
232
+ 0.019595264434814453,
233
+ 0.019647487640380858,
234
+ 0.01982975959777832,
235
+ 0.019801088333129883,
236
+ 0.01984614372253418,
237
+ 0.01987379264831543,
238
+ 0.019762176513671875,
239
+ 0.019644416809082032,
240
+ 0.01982361602783203,
241
+ 0.01980723190307617,
242
+ 0.01986662483215332,
243
+ 0.019636224746704102,
244
+ 0.019681280136108398,
245
+ 0.019817472457885742,
246
+ 0.019599359512329103,
247
+ 0.019564544677734375,
248
+ 0.01967103958129883,
249
+ 0.019572736740112305,
250
+ 0.019575807571411134,
251
+ 0.019558399200439454,
252
+ 0.019783679962158202,
253
+ 0.019843072891235353,
254
+ 0.019886079788208007,
255
+ 0.019793920516967774,
256
+ 0.019775487899780272,
257
+ 0.0204902400970459,
258
+ 0.020200447082519533,
259
+ 0.020144128799438478,
260
+ 0.020343807220458983,
261
+ 0.020595712661743162,
262
+ 0.020961280822753905,
263
+ 0.01990553665161133,
264
+ 0.01990656089782715,
265
+ 0.019876863479614256,
266
+ 0.01979903984069824,
267
+ 0.019596288681030274,
268
+ 0.019793920516967774,
269
+ 0.019751935958862304,
270
+ 0.019606527328491212,
271
+ 0.01965056037902832,
272
+ 0.019610624313354492,
273
+ 0.019559423446655275,
274
+ 0.019553279876708983,
275
+ 0.019557376861572266,
276
+ 0.019740671157836915,
277
+ 0.019766271591186522,
278
+ 0.01986867141723633,
279
+ 0.01980620765686035,
280
+ 0.019834880828857423,
281
+ 0.019809280395507813,
282
+ 0.01984921646118164,
283
+ 0.019801088333129883,
284
+ 0.01983692741394043,
285
+ 0.019817472457885742,
286
+ 0.019886079788208007,
287
+ 0.01987276840209961,
288
+ 0.019878911972045898,
289
+ 0.019870719909667968,
290
+ 0.01984511947631836,
291
+ 0.020242431640625,
292
+ 0.020107263565063475,
293
+ 0.01983078384399414,
294
+ 0.01987379264831543,
295
+ 0.0198287353515625,
296
+ 0.019886079788208007,
297
+ 0.01982259178161621,
298
+ 0.01982771110534668,
299
+ 0.019813375473022463,
300
+ 0.01982156753540039,
301
+ 0.019810304641723633,
302
+ 0.01981644821166992,
303
+ 0.01981439971923828,
304
+ 0.01980723190307617,
305
+ 0.019783679962158202,
306
+ 0.04166451263427735,
307
+ 0.01987379264831543,
308
+ 0.019862527847290038,
309
+ 0.019834880828857423,
310
+ 0.019786752700805665,
311
+ 0.019805183410644533,
312
+ 0.019777536392211914,
313
+ 0.019795967102050782,
314
+ 0.019811328887939454,
315
+ 0.01982259178161621,
316
+ 0.019787776947021486,
317
+ 0.02024345588684082,
318
+ 0.020603904724121092,
319
+ 0.020533248901367186,
320
+ 0.020537343978881836,
321
+ 0.02063871955871582,
322
+ 0.02053222465515137,
323
+ 0.01979903984069824,
324
+ 0.019817472457885742,
325
+ 0.01970278358459473,
326
+ 0.019588096618652344,
327
+ 0.0196177921295166,
328
+ 0.019552255630493166,
329
+ 0.019568639755249022,
330
+ 0.019595264434814453,
331
+ 0.01965260887145996,
332
+ 0.0214835205078125,
333
+ 0.02063871955871582,
334
+ 0.02020351982116699,
335
+ 0.020353023529052734,
336
+ 0.020377599716186523,
337
+ 0.01962188720703125,
338
+ 0.01964543914794922,
339
+ 0.01963520050048828,
340
+ 0.019554304122924804,
341
+ 0.019586048126220702,
342
+ 0.019582975387573243,
343
+ 0.01964543914794922,
344
+ 0.019557376861572266,
345
+ 0.019583999633789064,
346
+ 0.019590143203735352,
347
+ 0.019586048126220702,
348
+ 0.020165632247924805,
349
+ 0.020113407135009767,
350
+ 0.019574783325195313,
351
+ 0.0196177921295166,
352
+ 0.019580928802490235,
353
+ 0.01963929557800293,
354
+ 0.01982054328918457,
355
+ 0.019802112579345704,
356
+ 0.01979084777832031,
357
+ 0.01963827133178711,
358
+ 0.019581951141357423,
359
+ 0.019619840621948242,
360
+ 0.01963212776184082,
361
+ 0.01959321594238281,
362
+ 0.01963007926940918,
363
+ 0.01963007926940918,
364
+ 0.019542015075683594,
365
+ 0.019540992736816407,
366
+ 0.019590143203735352,
367
+ 0.01987583923339844,
368
+ 0.0198154239654541,
369
+ 0.01962393569946289,
370
+ 0.019594240188598632,
371
+ 0.01964031982421875,
372
+ 0.01964851188659668,
373
+ 0.019706880569458008,
374
+ 0.019746816635131836,
375
+ 0.01965056037902832,
376
+ 0.019614719390869142,
377
+ 0.019843072891235353,
378
+ 0.019784704208374023,
379
+ 0.01982054328918457,
380
+ 0.019810304641723633,
381
+ 0.019804159164428712,
382
+ 0.01969049644470215,
383
+ 0.01964236831665039,
384
+ 0.019566591262817384,
385
+ 0.019572736740112305,
386
+ 0.019590143203735352,
387
+ 0.01964646339416504,
388
+ 0.01982361602783203,
389
+ 0.019794944763183595,
390
+ 0.01984000015258789,
391
+ 0.01985638427734375,
392
+ 0.01981439971923828,
393
+ 0.01987583923339844,
394
+ 0.019862527847290038,
395
+ 0.01986662483215332,
396
+ 0.01978982353210449,
397
+ 0.01985945510864258,
398
+ 0.01982771110534668,
399
+ 0.019819520950317384,
400
+ 0.019763200759887696,
401
+ 0.019982336044311523,
402
+ 0.019780607223510743,
403
+ 0.01983590316772461,
404
+ 0.019834880828857423,
405
+ 0.019802112579345704,
406
+ 0.019785728454589844,
407
+ 0.019955711364746095,
408
+ 0.019951616287231445,
409
+ 0.021193727493286133,
410
+ 0.019974143981933593,
411
+ 0.01985536003112793,
412
+ 0.019812351226806642,
413
+ 0.01983795166015625,
414
+ 0.019770368576049805,
415
+ 0.0198604793548584,
416
+ 0.019805183410644533,
417
+ 0.01984921646118164,
418
+ 0.020358144760131838,
419
+ 0.02044927978515625,
420
+ 0.019826688766479493,
421
+ 0.019886079788208007,
422
+ 0.019861503601074217,
423
+ 0.01987276840209961,
424
+ 0.020435968399047853,
425
+ 0.01982975959777832,
426
+ 0.02002841567993164,
427
+ 0.02020351982116699,
428
+ 0.020168703079223634,
429
+ 0.020420608520507814,
430
+ 0.019812351226806642,
431
+ 0.019755008697509766,
432
+ 0.019535871505737306
433
+ ]
434
+ },
435
+ "throughput": {
436
+ "unit": "tokens/s",
437
+ "value": 49.85068474737015
438
+ },
439
+ "energy": null,
440
+ "efficiency": null
441
+ }
442
+ }
443
+ }
2024-06-06/commit=940fde8dafaecb8f17b588c5078291f1c1a420c8/backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=False/benchmark.log ADDED
File without changes
2024-06-06/commit=940fde8dafaecb8f17b588c5078291f1c1a420c8/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-5.10.217-205.860.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": "940fde8dafaecb8f17b588c5078291f1c1a420c8",
91
+ "accelerate_version": "0.31.0.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
+ }
2024-06-06/commit=940fde8dafaecb8f17b588c5078291f1c1a420c8/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": 1754.882048,
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": 0.05063795280456543,
15
+ "mean": 0.025318976402282714,
16
+ "stdev": 0.00370678424835205,
17
+ "p50": 0.025318976402282714,
18
+ "p90": 0.028284403800964357,
19
+ "p95": 0.02865508222579956,
20
+ "p99": 0.028951624965667725,
21
+ "values": [
22
+ 0.029025760650634766,
23
+ 0.021612192153930666
24
+ ]
25
+ },
26
+ "throughput": {
27
+ "unit": "tokens/s",
28
+ "value": 276.4724722192518
29
+ },
30
+ "energy": null,
31
+ "efficiency": null
32
+ },
33
+ "decode": {
34
+ "memory": {
35
+ "unit": "MB",
36
+ "max_ram": 1754.898432,
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": 5.07578759765625,
46
+ "mean": 2.537893798828125,
47
+ "stdev": 0.016163574218750032,
48
+ "p50": 2.537893798828125,
49
+ "p90": 2.550824658203125,
50
+ "p95": 2.552441015625,
51
+ "p99": 2.5537341015625,
52
+ "values": [
53
+ 2.554057373046875,
54
+ 2.521730224609375
55
+ ]
56
+ },
57
+ "throughput": {
58
+ "unit": "tokens/s",
59
+ "value": 50.04149506123636
60
+ },
61
+ "energy": null,
62
+ "efficiency": null
63
+ },
64
+ "per_token": {
65
+ "memory": null,
66
+ "latency": {
67
+ "unit": "s",
68
+ "count": 253,
69
+ "total": 5.075155963897701,
70
+ "mean": 0.020059904995643103,
71
+ "stdev": 0.0014278275260381915,
72
+ "p50": 0.019826688766479493,
73
+ "p90": 0.02054430694580078,
74
+ "p95": 0.020739276123046872,
75
+ "p99": 0.02157543487548828,
76
+ "values": [
77
+ 0.022627328872680662,
78
+ 0.021020671844482423,
79
+ 0.020544511795043945,
80
+ 0.020543487548828124,
81
+ 0.020335615158081053,
82
+ 0.020550655364990233,
83
+ 0.020246528625488282,
84
+ 0.02031718444824219,
85
+ 0.0204083194732666,
86
+ 0.020518911361694335,
87
+ 0.020594688415527345,
88
+ 0.02019327926635742,
89
+ 0.02066227149963379,
90
+ 0.020771839141845702,
91
+ 0.021372928619384765,
92
+ 0.021161983489990235,
93
+ 0.02122444725036621,
94
+ 0.02126643180847168,
95
+ 0.02122444725036621,
96
+ 0.020161535263061522,
97
+ 0.02022707176208496,
98
+ 0.020192256927490236,
99
+ 0.02023321533203125,
100
+ 0.020167680740356447,
101
+ 0.020239360809326173,
102
+ 0.020591615676879883,
103
+ 0.02167500877380371,
104
+ 0.020717567443847656,
105
+ 0.02045952033996582,
106
+ 0.020602880477905275,
107
+ 0.020521984100341797,
108
+ 0.02045337677001953,
109
+ 0.020580352783203124,
110
+ 0.020709375381469726,
111
+ 0.02025164794921875,
112
+ 0.020257791519165038,
113
+ 0.020273151397705077,
114
+ 0.020230144500732423,
115
+ 0.020360191345214843,
116
+ 0.02008064079284668,
117
+ 0.020167680740356447,
118
+ 0.02005299186706543,
119
+ 0.02012057685852051,
120
+ 0.02020147132873535,
121
+ 0.020109312057495117,
122
+ 0.01982771110534668,
123
+ 0.020176895141601564,
124
+ 0.019767295837402343,
125
+ 0.019759103775024413,
126
+ 0.019755008697509766,
127
+ 0.019775487899780272,
128
+ 0.019769344329833984,
129
+ 0.019595264434814453,
130
+ 0.019647487640380858,
131
+ 0.01982975959777832,
132
+ 0.019801088333129883,
133
+ 0.01984614372253418,
134
+ 0.01987379264831543,
135
+ 0.019762176513671875,
136
+ 0.019644416809082032,
137
+ 0.01982361602783203,
138
+ 0.01980723190307617,
139
+ 0.01986662483215332,
140
+ 0.019636224746704102,
141
+ 0.019681280136108398,
142
+ 0.019817472457885742,
143
+ 0.019599359512329103,
144
+ 0.019564544677734375,
145
+ 0.01967103958129883,
146
+ 0.019572736740112305,
147
+ 0.019575807571411134,
148
+ 0.019558399200439454,
149
+ 0.019783679962158202,
150
+ 0.019843072891235353,
151
+ 0.019886079788208007,
152
+ 0.019793920516967774,
153
+ 0.019775487899780272,
154
+ 0.0204902400970459,
155
+ 0.020200447082519533,
156
+ 0.020144128799438478,
157
+ 0.020343807220458983,
158
+ 0.020595712661743162,
159
+ 0.020961280822753905,
160
+ 0.01990553665161133,
161
+ 0.01990656089782715,
162
+ 0.019876863479614256,
163
+ 0.01979903984069824,
164
+ 0.019596288681030274,
165
+ 0.019793920516967774,
166
+ 0.019751935958862304,
167
+ 0.019606527328491212,
168
+ 0.01965056037902832,
169
+ 0.019610624313354492,
170
+ 0.019559423446655275,
171
+ 0.019553279876708983,
172
+ 0.019557376861572266,
173
+ 0.019740671157836915,
174
+ 0.019766271591186522,
175
+ 0.01986867141723633,
176
+ 0.01980620765686035,
177
+ 0.019834880828857423,
178
+ 0.019809280395507813,
179
+ 0.01984921646118164,
180
+ 0.019801088333129883,
181
+ 0.01983692741394043,
182
+ 0.019817472457885742,
183
+ 0.019886079788208007,
184
+ 0.01987276840209961,
185
+ 0.019878911972045898,
186
+ 0.019870719909667968,
187
+ 0.01984511947631836,
188
+ 0.020242431640625,
189
+ 0.020107263565063475,
190
+ 0.01983078384399414,
191
+ 0.01987379264831543,
192
+ 0.0198287353515625,
193
+ 0.019886079788208007,
194
+ 0.01982259178161621,
195
+ 0.01982771110534668,
196
+ 0.019813375473022463,
197
+ 0.01982156753540039,
198
+ 0.019810304641723633,
199
+ 0.01981644821166992,
200
+ 0.01981439971923828,
201
+ 0.01980723190307617,
202
+ 0.019783679962158202,
203
+ 0.04166451263427735,
204
+ 0.01987379264831543,
205
+ 0.019862527847290038,
206
+ 0.019834880828857423,
207
+ 0.019786752700805665,
208
+ 0.019805183410644533,
209
+ 0.019777536392211914,
210
+ 0.019795967102050782,
211
+ 0.019811328887939454,
212
+ 0.01982259178161621,
213
+ 0.019787776947021486,
214
+ 0.02024345588684082,
215
+ 0.020603904724121092,
216
+ 0.020533248901367186,
217
+ 0.020537343978881836,
218
+ 0.02063871955871582,
219
+ 0.02053222465515137,
220
+ 0.01979903984069824,
221
+ 0.019817472457885742,
222
+ 0.01970278358459473,
223
+ 0.019588096618652344,
224
+ 0.0196177921295166,
225
+ 0.019552255630493166,
226
+ 0.019568639755249022,
227
+ 0.019595264434814453,
228
+ 0.01965260887145996,
229
+ 0.0214835205078125,
230
+ 0.02063871955871582,
231
+ 0.02020351982116699,
232
+ 0.020353023529052734,
233
+ 0.020377599716186523,
234
+ 0.01962188720703125,
235
+ 0.01964543914794922,
236
+ 0.01963520050048828,
237
+ 0.019554304122924804,
238
+ 0.019586048126220702,
239
+ 0.019582975387573243,
240
+ 0.01964543914794922,
241
+ 0.019557376861572266,
242
+ 0.019583999633789064,
243
+ 0.019590143203735352,
244
+ 0.019586048126220702,
245
+ 0.020165632247924805,
246
+ 0.020113407135009767,
247
+ 0.019574783325195313,
248
+ 0.0196177921295166,
249
+ 0.019580928802490235,
250
+ 0.01963929557800293,
251
+ 0.01982054328918457,
252
+ 0.019802112579345704,
253
+ 0.01979084777832031,
254
+ 0.01963827133178711,
255
+ 0.019581951141357423,
256
+ 0.019619840621948242,
257
+ 0.01963212776184082,
258
+ 0.01959321594238281,
259
+ 0.01963007926940918,
260
+ 0.01963007926940918,
261
+ 0.019542015075683594,
262
+ 0.019540992736816407,
263
+ 0.019590143203735352,
264
+ 0.01987583923339844,
265
+ 0.0198154239654541,
266
+ 0.01962393569946289,
267
+ 0.019594240188598632,
268
+ 0.01964031982421875,
269
+ 0.01964851188659668,
270
+ 0.019706880569458008,
271
+ 0.019746816635131836,
272
+ 0.01965056037902832,
273
+ 0.019614719390869142,
274
+ 0.019843072891235353,
275
+ 0.019784704208374023,
276
+ 0.01982054328918457,
277
+ 0.019810304641723633,
278
+ 0.019804159164428712,
279
+ 0.01969049644470215,
280
+ 0.01964236831665039,
281
+ 0.019566591262817384,
282
+ 0.019572736740112305,
283
+ 0.019590143203735352,
284
+ 0.01964646339416504,
285
+ 0.01982361602783203,
286
+ 0.019794944763183595,
287
+ 0.01984000015258789,
288
+ 0.01985638427734375,
289
+ 0.01981439971923828,
290
+ 0.01987583923339844,
291
+ 0.019862527847290038,
292
+ 0.01986662483215332,
293
+ 0.01978982353210449,
294
+ 0.01985945510864258,
295
+ 0.01982771110534668,
296
+ 0.019819520950317384,
297
+ 0.019763200759887696,
298
+ 0.019982336044311523,
299
+ 0.019780607223510743,
300
+ 0.01983590316772461,
301
+ 0.019834880828857423,
302
+ 0.019802112579345704,
303
+ 0.019785728454589844,
304
+ 0.019955711364746095,
305
+ 0.019951616287231445,
306
+ 0.021193727493286133,
307
+ 0.019974143981933593,
308
+ 0.01985536003112793,
309
+ 0.019812351226806642,
310
+ 0.01983795166015625,
311
+ 0.019770368576049805,
312
+ 0.0198604793548584,
313
+ 0.019805183410644533,
314
+ 0.01984921646118164,
315
+ 0.020358144760131838,
316
+ 0.02044927978515625,
317
+ 0.019826688766479493,
318
+ 0.019886079788208007,
319
+ 0.019861503601074217,
320
+ 0.01987276840209961,
321
+ 0.020435968399047853,
322
+ 0.01982975959777832,
323
+ 0.02002841567993164,
324
+ 0.02020351982116699,
325
+ 0.020168703079223634,
326
+ 0.020420608520507814,
327
+ 0.019812351226806642,
328
+ 0.019755008697509766,
329
+ 0.019535871505737306
330
+ ]
331
+ },
332
+ "throughput": {
333
+ "unit": "tokens/s",
334
+ "value": 49.85068474737015
335
+ },
336
+ "energy": null,
337
+ "efficiency": null
338
+ }
339
+ }
2024-06-06/commit=940fde8dafaecb8f17b588c5078291f1c1a420c8/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": "940fde8dafaecb8f17b588c5078291f1c1a420c8",
4
+ "config": "backend.cache_implementation=static,backend.torch_compile=False",
5
+ "metrics": {
6
+ "prefill.latency.mean": 0.025318976402282714,
7
+ "prefill.throughput.value": 276.4724722192518,
8
+ "decode.latency.mean": 2.537893798828125,
9
+ "decode.throughput.value": 50.04149506123636,
10
+ "per_token.latency.mean": 0.020059904995643103,
11
+ "per_token.throughput.value": 49.85068474737015
12
+ }
13
+ }
2024-06-06/commit=940fde8dafaecb8f17b588c5078291f1c1a420c8/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-5.10.217-205.860.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: 940fde8dafaecb8f17b588c5078291f1c1a420c8
82
+ accelerate_version: 0.31.0.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
2024-06-06/commit=940fde8dafaecb8f17b588c5078291f1c1a420c8/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/tmp3hzcmehw/commit=940fde8dafaecb8f17b588c5078291f1c1a420c8/${hydra.job.override_dirname}
4
+ sweep:
5
+ dir: _benchmark/tmp3hzcmehw/commit=940fde8dafaecb8f17b588c5078291f1c1a420c8
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
+ $HYDRA_CONFIG_GROUPS
62
+
63
+
64
+ Use ''--cfg hydra'' to Show the Hydra config.
65
+
66
+ '
67
+ hydra_help: ???
68
+ hydra_logging:
69
+ version: 1
70
+ root:
71
+ level: ERROR
72
+ disable_existing_loggers: true
73
+ job_logging:
74
+ version: 1
75
+ root:
76
+ level: ERROR
77
+ disable_existing_loggers: true
78
+ env: {}
79
+ mode: MULTIRUN
80
+ searchpath: []
81
+ callbacks: {}
82
+ output_subdir: .hydra
83
+ overrides:
84
+ hydra:
85
+ - hydra/job_logging=disabled
86
+ - hydra/hydra_logging=disabled
87
+ - hydra.sweep.dir=_benchmark/tmp3hzcmehw/commit\=940fde8dafaecb8f17b588c5078291f1c1a420c8
88
+ - hydra.run.dir=_benchmark/tmp3hzcmehw/commit\=940fde8dafaecb8f17b588c5078291f1c1a420c8/${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/tmp3hzcmehw/commit=940fde8dafaecb8f17b588c5078291f1c1a420c8/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
2024-06-06/commit=940fde8dafaecb8f17b588c5078291f1c1a420c8/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
2024-06-06/commit=940fde8dafaecb8f17b588c5078291f1c1a420c8/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-5.10.217-205.860.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": "940fde8dafaecb8f17b588c5078291f1c1a420c8",
92
+ "accelerate_version": "0.31.0.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": 1917.341696,
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": 0.02800761604309082,
118
+ "mean": 0.01400380802154541,
119
+ "stdev": 0.00011616039276123036,
120
+ "p50": 0.01400380802154541,
121
+ "p90": 0.014096736335754395,
122
+ "p95": 0.014108352375030518,
123
+ "p99": 0.014117645206451417,
124
+ "values": [
125
+ 0.014119968414306641,
126
+ 0.01388764762878418
127
+ ]
128
+ },
129
+ "throughput": {
130
+ "unit": "tokens/s",
131
+ "value": 499.86403621288036
132
+ },
133
+ "energy": null,
134
+ "efficiency": null
135
+ },
136
+ "decode": {
137
+ "memory": {
138
+ "unit": "MB",
139
+ "max_ram": 2261.151744,
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": 3.1189302978515627,
149
+ "mean": 1.5594651489257814,
150
+ "stdev": 0.0020779418945312544,
151
+ "p50": 1.5594651489257814,
152
+ "p90": 1.5611275024414062,
153
+ "p95": 1.5613352966308593,
154
+ "p99": 1.561501531982422,
155
+ "values": [
156
+ 1.5615430908203125,
157
+ 1.55738720703125
158
+ ]
159
+ },
160
+ "throughput": {
161
+ "unit": "tokens/s",
162
+ "value": 81.4381777543938
163
+ },
164
+ "energy": null,
165
+ "efficiency": null
166
+ },
167
+ "per_token": {
168
+ "memory": null,
169
+ "latency": {
170
+ "unit": "s",
171
+ "count": 253,
172
+ "total": 3.119921157836915,
173
+ "mean": 0.012331704181173573,
174
+ "stdev": 0.0008893472583592356,
175
+ "p50": 0.01226137638092041,
176
+ "p90": 0.012300083351135254,
177
+ "p95": 0.012464742469787597,
178
+ "p99": 0.012753510475158691,
179
+ "values": [
180
+ 0.012698623657226562,
181
+ 0.012743680000305176,
182
+ 0.012716032028198243,
183
+ 0.012770303726196289,
184
+ 0.01273855972290039,
185
+ 0.012329983711242675,
186
+ 0.01234329605102539,
187
+ 0.012280832290649414,
188
+ 0.0122357759475708,
189
+ 0.01227673625946045,
190
+ 0.012229632377624512,
191
+ 0.012272640228271485,
192
+ 0.012240896224975586,
193
+ 0.01225830364227295,
194
+ 0.012256256103515625,
195
+ 0.012281855583190919,
196
+ 0.012236800193786621,
197
+ 0.012277759552001954,
198
+ 0.012231679916381836,
199
+ 0.012271615982055664,
200
+ 0.012225536346435547,
201
+ 0.012274687767028808,
202
+ 0.01221939182281494,
203
+ 0.01227673625946045,
204
+ 0.012230655670166016,
205
+ 0.01226035213470459,
206
+ 0.01223475170135498,
207
+ 0.01227673625946045,
208
+ 0.012231679916381836,
209
+ 0.012279808044433594,
210
+ 0.012254207611083985,
211
+ 0.012283904075622559,
212
+ 0.01223475170135498,
213
+ 0.012274687767028808,
214
+ 0.012230655670166016,
215
+ 0.01228492832183838,
216
+ 0.012238847732543945,
217
+ 0.012270591735839843,
218
+ 0.01224294376373291,
219
+ 0.01226854419708252,
220
+ 0.012233728408813477,
221
+ 0.01226956844329834,
222
+ 0.012224543571472167,
223
+ 0.012264415740966797,
224
+ 0.012224575996398927,
225
+ 0.012294079780578613,
226
+ 0.012246015548706055,
227
+ 0.012273664474487305,
228
+ 0.012233728408813477,
229
+ 0.012278783798217773,
230
+ 0.012226559638977052,
231
+ 0.01226137638092041,
232
+ 0.012223487854003906,
233
+ 0.01227673625946045,
234
+ 0.01222758388519287,
235
+ 0.012272640228271485,
236
+ 0.012229632377624512,
237
+ 0.012272640228271485,
238
+ 0.012220416069030762,
239
+ 0.01226137638092041,
240
+ 0.012236800193786621,
241
+ 0.012299263954162597,
242
+ 0.012244000434875488,
243
+ 0.012275679588317871,
244
+ 0.012232704162597656,
245
+ 0.012267519950866699,
246
+ 0.012231679916381836,
247
+ 0.01226137638092041,
248
+ 0.012223487854003906,
249
+ 0.012262399673461915,
250
+ 0.012228608131408691,
251
+ 0.01226854419708252,
252
+ 0.012224575996398927,
253
+ 0.01227667236328125,
254
+ 0.012218367576599122,
255
+ 0.012271615982055664,
256
+ 0.01222758388519287,
257
+ 0.012302335739135742,
258
+ 0.01226035213470459,
259
+ 0.01245081615447998,
260
+ 0.012559359550476074,
261
+ 0.01247436809539795,
262
+ 0.01245900821685791,
263
+ 0.012480511665344238,
264
+ 0.01276416015625,
265
+ 0.012314623832702636,
266
+ 0.012283904075622559,
267
+ 0.012311552047729492,
268
+ 0.012238847732543945,
269
+ 0.012283904075622559,
270
+ 0.012230655670166016,
271
+ 0.012266495704650878,
272
+ 0.012226592063903809,
273
+ 0.012273632049560546,
274
+ 0.012224512100219726,
275
+ 0.012270591735839843,
276
+ 0.012229632377624512,
277
+ 0.012274687767028808,
278
+ 0.012225536346435547,
279
+ 0.012256256103515625,
280
+ 0.01222758388519287,
281
+ 0.012296192169189453,
282
+ 0.012277759552001954,
283
+ 0.012295167922973632,
284
+ 0.012228608131408691,
285
+ 0.012272640228271485,
286
+ 0.012230655670166016,
287
+ 0.01226137638092041,
288
+ 0.012229632377624512,
289
+ 0.01226854419708252,
290
+ 0.0122357759475708,
291
+ 0.01226956844329834,
292
+ 0.012222463607788087,
293
+ 0.012266495704650878,
294
+ 0.01224396800994873,
295
+ 0.012257280349731446,
296
+ 0.012221440315246582,
297
+ 0.012273664474487305,
298
+ 0.012255231857299804,
299
+ 0.012274687767028808,
300
+ 0.012228608131408691,
301
+ 0.01226956844329834,
302
+ 0.01223475170135498,
303
+ 0.012272640228271485,
304
+ 0.012473343849182129,
305
+ 0.012300288200378418,
306
+ 0.026376192092895507,
307
+ 0.012257280349731446,
308
+ 0.012279808044433594,
309
+ 0.012225536346435547,
310
+ 0.012282879829406738,
311
+ 0.012233728408813477,
312
+ 0.01227673625946045,
313
+ 0.012239904403686523,
314
+ 0.012277728080749511,
315
+ 0.012249088287353516,
316
+ 0.012274687767028808,
317
+ 0.012248064041137695,
318
+ 0.012267519950866699,
319
+ 0.012244992256164551,
320
+ 0.012292096138000488,
321
+ 0.012228608131408691,
322
+ 0.012259327888488769,
323
+ 0.012233728408813477,
324
+ 0.012263423919677734,
325
+ 0.012233728408813477,
326
+ 0.012270591735839843,
327
+ 0.012218367576599122,
328
+ 0.012296192169189453,
329
+ 0.012222463607788087,
330
+ 0.012273664474487305,
331
+ 0.01223475170135498,
332
+ 0.012264448165893555,
333
+ 0.012237824440002442,
334
+ 0.01226956844329834,
335
+ 0.012240896224975586,
336
+ 0.012283904075622559,
337
+ 0.012222463607788087,
338
+ 0.012256256103515625,
339
+ 0.012224512100219726,
340
+ 0.012267519950866699,
341
+ 0.012217344284057617,
342
+ 0.012281855583190919,
343
+ 0.012220416069030762,
344
+ 0.012285951614379884,
345
+ 0.012225536346435547,
346
+ 0.01226854419708252,
347
+ 0.012229632377624512,
348
+ 0.01226137638092041,
349
+ 0.012225536346435547,
350
+ 0.012267519950866699,
351
+ 0.012248064041137695,
352
+ 0.012285951614379884,
353
+ 0.012230655670166016,
354
+ 0.012270591735839843,
355
+ 0.012229632377624512,
356
+ 0.012259327888488769,
357
+ 0.012224512100219726,
358
+ 0.012257280349731446,
359
+ 0.012230655670166016,
360
+ 0.012265472412109376,
361
+ 0.012228608131408691,
362
+ 0.012294143676757812,
363
+ 0.012223487854003906,
364
+ 0.012264448165893555,
365
+ 0.012230655670166016,
366
+ 0.012275712013244629,
367
+ 0.01224294376373291,
368
+ 0.01228492832183838,
369
+ 0.012230655670166016,
370
+ 0.012257280349731446,
371
+ 0.012225536346435547,
372
+ 0.01226956844329834,
373
+ 0.012228608131408691,
374
+ 0.012270591735839843,
375
+ 0.012236800193786621,
376
+ 0.012263423919677734,
377
+ 0.012231679916381836,
378
+ 0.012280832290649414,
379
+ 0.012240896224975586,
380
+ 0.012264448165893555,
381
+ 0.012225536346435547,
382
+ 0.012257280349731446,
383
+ 0.01224294376373291,
384
+ 0.012357631683349609,
385
+ 0.01225216007232666,
386
+ 0.012278783798217773,
387
+ 0.012222463607788087,
388
+ 0.012274687767028808,
389
+ 0.012231679916381836,
390
+ 0.012277759552001954,
391
+ 0.01224294376373291,
392
+ 0.012263423919677734,
393
+ 0.012230655670166016,
394
+ 0.012280832290649414,
395
+ 0.012218367576599122,
396
+ 0.012271615982055664,
397
+ 0.01225011157989502,
398
+ 0.012303359985351562,
399
+ 0.012244992256164551,
400
+ 0.012272640228271485,
401
+ 0.012213248252868653,
402
+ 0.012262399673461915,
403
+ 0.012233728408813477,
404
+ 0.012278783798217773,
405
+ 0.012230655670166016,
406
+ 0.012267519950866699,
407
+ 0.012216320037841797,
408
+ 0.012265472412109376,
409
+ 0.012222463607788087,
410
+ 0.012259327888488769,
411
+ 0.01221939182281494,
412
+ 0.012273664474487305,
413
+ 0.012217344284057617,
414
+ 0.012298239707946777,
415
+ 0.01225830364227295,
416
+ 0.01226137638092041,
417
+ 0.01239244842529297,
418
+ 0.012315648078918457,
419
+ 0.01221939182281494,
420
+ 0.012273664474487305,
421
+ 0.012221440315246582,
422
+ 0.01226137638092041,
423
+ 0.012228608131408691,
424
+ 0.012266495704650878,
425
+ 0.012275712013244629,
426
+ 0.012360704421997071,
427
+ 0.012640255928039551,
428
+ 0.012609536170959473,
429
+ 0.01224294376373291,
430
+ 0.01226956844329834,
431
+ 0.012231679916381836,
432
+ 0.012271615982055664
433
+ ]
434
+ },
435
+ "throughput": {
436
+ "unit": "tokens/s",
437
+ "value": 81.09179277318934
438
+ },
439
+ "energy": null,
440
+ "efficiency": null
441
+ }
442
+ }
443
+ }
2024-06-06/commit=940fde8dafaecb8f17b588c5078291f1c1a420c8/backend.cache_implementation=static,backend.model=google/gemma-2b,backend.torch_compile=True/benchmark.log ADDED
File without changes
2024-06-06/commit=940fde8dafaecb8f17b588c5078291f1c1a420c8/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-5.10.217-205.860.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": "940fde8dafaecb8f17b588c5078291f1c1a420c8",
91
+ "accelerate_version": "0.31.0.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
+ }
2024-06-06/commit=940fde8dafaecb8f17b588c5078291f1c1a420c8/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": 1917.341696,
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": 0.02800761604309082,
15
+ "mean": 0.01400380802154541,
16
+ "stdev": 0.00011616039276123036,
17
+ "p50": 0.01400380802154541,
18
+ "p90": 0.014096736335754395,
19
+ "p95": 0.014108352375030518,
20
+ "p99": 0.014117645206451417,
21
+ "values": [
22
+ 0.014119968414306641,
23
+ 0.01388764762878418
24
+ ]
25
+ },
26
+ "throughput": {
27
+ "unit": "tokens/s",
28
+ "value": 499.86403621288036
29
+ },
30
+ "energy": null,
31
+ "efficiency": null
32
+ },
33
+ "decode": {
34
+ "memory": {
35
+ "unit": "MB",
36
+ "max_ram": 2261.151744,
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": 3.1189302978515627,
46
+ "mean": 1.5594651489257814,
47
+ "stdev": 0.0020779418945312544,
48
+ "p50": 1.5594651489257814,
49
+ "p90": 1.5611275024414062,
50
+ "p95": 1.5613352966308593,
51
+ "p99": 1.561501531982422,
52
+ "values": [
53
+ 1.5615430908203125,
54
+ 1.55738720703125
55
+ ]
56
+ },
57
+ "throughput": {
58
+ "unit": "tokens/s",
59
+ "value": 81.4381777543938
60
+ },
61
+ "energy": null,
62
+ "efficiency": null
63
+ },
64
+ "per_token": {
65
+ "memory": null,
66
+ "latency": {
67
+ "unit": "s",
68
+ "count": 253,
69
+ "total": 3.119921157836915,
70
+ "mean": 0.012331704181173573,
71
+ "stdev": 0.0008893472583592356,
72
+ "p50": 0.01226137638092041,
73
+ "p90": 0.012300083351135254,
74
+ "p95": 0.012464742469787597,
75
+ "p99": 0.012753510475158691,
76
+ "values": [
77
+ 0.012698623657226562,
78
+ 0.012743680000305176,
79
+ 0.012716032028198243,
80
+ 0.012770303726196289,
81
+ 0.01273855972290039,
82
+ 0.012329983711242675,
83
+ 0.01234329605102539,
84
+ 0.012280832290649414,
85
+ 0.0122357759475708,
86
+ 0.01227673625946045,
87
+ 0.012229632377624512,
88
+ 0.012272640228271485,
89
+ 0.012240896224975586,
90
+ 0.01225830364227295,
91
+ 0.012256256103515625,
92
+ 0.012281855583190919,
93
+ 0.012236800193786621,
94
+ 0.012277759552001954,
95
+ 0.012231679916381836,
96
+ 0.012271615982055664,
97
+ 0.012225536346435547,
98
+ 0.012274687767028808,
99
+ 0.01221939182281494,
100
+ 0.01227673625946045,
101
+ 0.012230655670166016,
102
+ 0.01226035213470459,
103
+ 0.01223475170135498,
104
+ 0.01227673625946045,
105
+ 0.012231679916381836,
106
+ 0.012279808044433594,
107
+ 0.012254207611083985,
108
+ 0.012283904075622559,
109
+ 0.01223475170135498,
110
+ 0.012274687767028808,
111
+ 0.012230655670166016,
112
+ 0.01228492832183838,
113
+ 0.012238847732543945,
114
+ 0.012270591735839843,
115
+ 0.01224294376373291,
116
+ 0.01226854419708252,
117
+ 0.012233728408813477,
118
+ 0.01226956844329834,
119
+ 0.012224543571472167,
120
+ 0.012264415740966797,
121
+ 0.012224575996398927,
122
+ 0.012294079780578613,
123
+ 0.012246015548706055,
124
+ 0.012273664474487305,
125
+ 0.012233728408813477,
126
+ 0.012278783798217773,
127
+ 0.012226559638977052,
128
+ 0.01226137638092041,
129
+ 0.012223487854003906,
130
+ 0.01227673625946045,
131
+ 0.01222758388519287,
132
+ 0.012272640228271485,
133
+ 0.012229632377624512,
134
+ 0.012272640228271485,
135
+ 0.012220416069030762,
136
+ 0.01226137638092041,
137
+ 0.012236800193786621,
138
+ 0.012299263954162597,
139
+ 0.012244000434875488,
140
+ 0.012275679588317871,
141
+ 0.012232704162597656,
142
+ 0.012267519950866699,
143
+ 0.012231679916381836,
144
+ 0.01226137638092041,
145
+ 0.012223487854003906,
146
+ 0.012262399673461915,
147
+ 0.012228608131408691,
148
+ 0.01226854419708252,
149
+ 0.012224575996398927,
150
+ 0.01227667236328125,
151
+ 0.012218367576599122,
152
+ 0.012271615982055664,
153
+ 0.01222758388519287,
154
+ 0.012302335739135742,
155
+ 0.01226035213470459,
156
+ 0.01245081615447998,
157
+ 0.012559359550476074,
158
+ 0.01247436809539795,
159
+ 0.01245900821685791,
160
+ 0.012480511665344238,
161
+ 0.01276416015625,
162
+ 0.012314623832702636,
163
+ 0.012283904075622559,
164
+ 0.012311552047729492,
165
+ 0.012238847732543945,
166
+ 0.012283904075622559,
167
+ 0.012230655670166016,
168
+ 0.012266495704650878,
169
+ 0.012226592063903809,
170
+ 0.012273632049560546,
171
+ 0.012224512100219726,
172
+ 0.012270591735839843,
173
+ 0.012229632377624512,
174
+ 0.012274687767028808,
175
+ 0.012225536346435547,
176
+ 0.012256256103515625,
177
+ 0.01222758388519287,
178
+ 0.012296192169189453,
179
+ 0.012277759552001954,
180
+ 0.012295167922973632,
181
+ 0.012228608131408691,
182
+ 0.012272640228271485,
183
+ 0.012230655670166016,
184
+ 0.01226137638092041,
185
+ 0.012229632377624512,
186
+ 0.01226854419708252,
187
+ 0.0122357759475708,
188
+ 0.01226956844329834,
189
+ 0.012222463607788087,
190
+ 0.012266495704650878,
191
+ 0.01224396800994873,
192
+ 0.012257280349731446,
193
+ 0.012221440315246582,
194
+ 0.012273664474487305,
195
+ 0.012255231857299804,
196
+ 0.012274687767028808,
197
+ 0.012228608131408691,
198
+ 0.01226956844329834,
199
+ 0.01223475170135498,
200
+ 0.012272640228271485,
201
+ 0.012473343849182129,
202
+ 0.012300288200378418,
203
+ 0.026376192092895507,
204
+ 0.012257280349731446,
205
+ 0.012279808044433594,
206
+ 0.012225536346435547,
207
+ 0.012282879829406738,
208
+ 0.012233728408813477,
209
+ 0.01227673625946045,
210
+ 0.012239904403686523,
211
+ 0.012277728080749511,
212
+ 0.012249088287353516,
213
+ 0.012274687767028808,
214
+ 0.012248064041137695,
215
+ 0.012267519950866699,
216
+ 0.012244992256164551,
217
+ 0.012292096138000488,
218
+ 0.012228608131408691,
219
+ 0.012259327888488769,
220
+ 0.012233728408813477,
221
+ 0.012263423919677734,
222
+ 0.012233728408813477,
223
+ 0.012270591735839843,
224
+ 0.012218367576599122,
225
+ 0.012296192169189453,
226
+ 0.012222463607788087,
227
+ 0.012273664474487305,
228
+ 0.01223475170135498,
229
+ 0.012264448165893555,
230
+ 0.012237824440002442,
231
+ 0.01226956844329834,
232
+ 0.012240896224975586,
233
+ 0.012283904075622559,
234
+ 0.012222463607788087,
235
+ 0.012256256103515625,
236
+ 0.012224512100219726,
237
+ 0.012267519950866699,
238
+ 0.012217344284057617,
239
+ 0.012281855583190919,
240
+ 0.012220416069030762,
241
+ 0.012285951614379884,
242
+ 0.012225536346435547,
243
+ 0.01226854419708252,
244
+ 0.012229632377624512,
245
+ 0.01226137638092041,
246
+ 0.012225536346435547,
247
+ 0.012267519950866699,
248
+ 0.012248064041137695,
249
+ 0.012285951614379884,
250
+ 0.012230655670166016,
251
+ 0.012270591735839843,
252
+ 0.012229632377624512,
253
+ 0.012259327888488769,
254
+ 0.012224512100219726,
255
+ 0.012257280349731446,
256
+ 0.012230655670166016,
257
+ 0.012265472412109376,
258
+ 0.012228608131408691,
259
+ 0.012294143676757812,
260
+ 0.012223487854003906,
261
+ 0.012264448165893555,
262
+ 0.012230655670166016,
263
+ 0.012275712013244629,
264
+ 0.01224294376373291,
265
+ 0.01228492832183838,
266
+ 0.012230655670166016,
267
+ 0.012257280349731446,
268
+ 0.012225536346435547,
269
+ 0.01226956844329834,
270
+ 0.012228608131408691,
271
+ 0.012270591735839843,
272
+ 0.012236800193786621,
273
+ 0.012263423919677734,
274
+ 0.012231679916381836,
275
+ 0.012280832290649414,
276
+ 0.012240896224975586,
277
+ 0.012264448165893555,
278
+ 0.012225536346435547,
279
+ 0.012257280349731446,
280
+ 0.01224294376373291,
281
+ 0.012357631683349609,
282
+ 0.01225216007232666,
283
+ 0.012278783798217773,
284
+ 0.012222463607788087,
285
+ 0.012274687767028808,
286
+ 0.012231679916381836,
287
+ 0.012277759552001954,
288
+ 0.01224294376373291,
289
+ 0.012263423919677734,
290
+ 0.012230655670166016,
291
+ 0.012280832290649414,
292
+ 0.012218367576599122,
293
+ 0.012271615982055664,
294
+ 0.01225011157989502,
295
+ 0.012303359985351562,
296
+ 0.012244992256164551,
297
+ 0.012272640228271485,
298
+ 0.012213248252868653,
299
+ 0.012262399673461915,
300
+ 0.012233728408813477,
301
+ 0.012278783798217773,
302
+ 0.012230655670166016,
303
+ 0.012267519950866699,
304
+ 0.012216320037841797,
305
+ 0.012265472412109376,
306
+ 0.012222463607788087,
307
+ 0.012259327888488769,
308
+ 0.01221939182281494,
309
+ 0.012273664474487305,
310
+ 0.012217344284057617,
311
+ 0.012298239707946777,
312
+ 0.01225830364227295,
313
+ 0.01226137638092041,
314
+ 0.01239244842529297,
315
+ 0.012315648078918457,
316
+ 0.01221939182281494,
317
+ 0.012273664474487305,
318
+ 0.012221440315246582,
319
+ 0.01226137638092041,
320
+ 0.012228608131408691,
321
+ 0.012266495704650878,
322
+ 0.012275712013244629,
323
+ 0.012360704421997071,
324
+ 0.012640255928039551,
325
+ 0.012609536170959473,
326
+ 0.01224294376373291,
327
+ 0.01226956844329834,
328
+ 0.012231679916381836,
329
+ 0.012271615982055664
330
+ ]
331
+ },
332
+ "throughput": {
333
+ "unit": "tokens/s",
334
+ "value": 81.09179277318934
335
+ },
336
+ "energy": null,
337
+ "efficiency": null
338
+ }
339
+ }
2024-06-06/commit=940fde8dafaecb8f17b588c5078291f1c1a420c8/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": "940fde8dafaecb8f17b588c5078291f1c1a420c8",
4
+ "config": "backend.cache_implementation=static,backend.torch_compile=True",
5
+ "metrics": {
6
+ "prefill.latency.mean": 0.01400380802154541,
7
+ "prefill.throughput.value": 499.86403621288036,
8
+ "decode.latency.mean": 1.5594651489257814,
9
+ "decode.throughput.value": 81.4381777543938,
10
+ "per_token.latency.mean": 0.012331704181173573,
11
+ "per_token.throughput.value": 81.09179277318934
12
+ }
13
+ }
2024-06-06/commit=940fde8dafaecb8f17b588c5078291f1c1a420c8/multirun.yaml ADDED
@@ -0,0 +1,232 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ hydra:
2
+ run:
3
+ dir: _benchmark/tmp3hzcmehw/commit=940fde8dafaecb8f17b588c5078291f1c1a420c8/${hydra.job.override_dirname}
4
+ sweep:
5
+ dir: _benchmark/tmp3hzcmehw/commit=940fde8dafaecb8f17b588c5078291f1c1a420c8
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
+ $HYDRA_CONFIG_GROUPS
62
+
63
+
64
+ Use ''--cfg hydra'' to Show the Hydra config.
65
+
66
+ '
67
+ hydra_help: ???
68
+ hydra_logging:
69
+ version: 1
70
+ root:
71
+ level: ERROR
72
+ disable_existing_loggers: true
73
+ job_logging:
74
+ version: 1
75
+ root:
76
+ level: ERROR
77
+ disable_existing_loggers: true
78
+ env: {}
79
+ mode: MULTIRUN
80
+ searchpath: []
81
+ callbacks: {}
82
+ output_subdir: .hydra
83
+ overrides:
84
+ hydra:
85
+ - hydra/job_logging=disabled
86
+ - hydra/hydra_logging=disabled
87
+ - hydra.sweep.dir=_benchmark/tmp3hzcmehw/commit\=940fde8dafaecb8f17b588c5078291f1c1a420c8
88
+ - hydra.run.dir=_benchmark/tmp3hzcmehw/commit\=940fde8dafaecb8f17b588c5078291f1c1a420c8/${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-5.10.217-205.860.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: 940fde8dafaecb8f17b588c5078291f1c1a420c8
223
+ accelerate_version: 0.31.0.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
2024-06-06/summaries.json ADDED
@@ -0,0 +1,41 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ [
2
+ {
3
+ "model": "google/gemma-2b",
4
+ "commit": "940fde8dafaecb8f17b588c5078291f1c1a420c8",
5
+ "config": "backend.cache_implementation=null,backend.torch_compile=False",
6
+ "metrics": {
7
+ "prefill.latency.mean": 0.02033520030975342,
8
+ "prefill.throughput.value": 344.2306883322204,
9
+ "decode.latency.mean": 2.4782998046875,
10
+ "decode.throughput.value": 51.244808945144555,
11
+ "per_token.latency.mean": 0.01958842790173919,
12
+ "per_token.throughput.value": 51.05054908011344
13
+ }
14
+ },
15
+ {
16
+ "model": "google/gemma-2b",
17
+ "commit": "940fde8dafaecb8f17b588c5078291f1c1a420c8",
18
+ "config": "backend.cache_implementation=static,backend.torch_compile=False",
19
+ "metrics": {
20
+ "prefill.latency.mean": 0.025318976402282714,
21
+ "prefill.throughput.value": 276.4724722192518,
22
+ "decode.latency.mean": 2.537893798828125,
23
+ "decode.throughput.value": 50.04149506123636,
24
+ "per_token.latency.mean": 0.020059904995643103,
25
+ "per_token.throughput.value": 49.85068474737015
26
+ }
27
+ },
28
+ {
29
+ "model": "google/gemma-2b",
30
+ "commit": "940fde8dafaecb8f17b588c5078291f1c1a420c8",
31
+ "config": "backend.cache_implementation=static,backend.torch_compile=True",
32
+ "metrics": {
33
+ "prefill.latency.mean": 0.01400380802154541,
34
+ "prefill.throughput.value": 499.86403621288036,
35
+ "decode.latency.mean": 1.5594651489257814,
36
+ "decode.throughput.value": 81.4381777543938,
37
+ "per_token.latency.mean": 0.012331704181173573,
38
+ "per_token.throughput.value": 81.09179277318934
39
+ }
40
+ }
41
+ ]
2024-06-06/summary.json ADDED
@@ -0,0 +1,40 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "google/gemma-2b": {
3
+ "backend.cache_implementation=null,backend.torch_compile=False": {
4
+ "940fde8dafaecb8f17b588c5078291f1c1a420c8": {
5
+ "metrics": {
6
+ "prefill.latency.mean": 0.02033520030975342,
7
+ "prefill.throughput.value": 344.2306883322204,
8
+ "decode.latency.mean": 2.4782998046875,
9
+ "decode.throughput.value": 51.244808945144555,
10
+ "per_token.latency.mean": 0.01958842790173919,
11
+ "per_token.throughput.value": 51.05054908011344
12
+ }
13
+ }
14
+ },
15
+ "backend.cache_implementation=static,backend.torch_compile=False": {
16
+ "940fde8dafaecb8f17b588c5078291f1c1a420c8": {
17
+ "metrics": {
18
+ "prefill.latency.mean": 0.025318976402282714,
19
+ "prefill.throughput.value": 276.4724722192518,
20
+ "decode.latency.mean": 2.537893798828125,
21
+ "decode.throughput.value": 50.04149506123636,
22
+ "per_token.latency.mean": 0.020059904995643103,
23
+ "per_token.throughput.value": 49.85068474737015
24
+ }
25
+ }
26
+ },
27
+ "backend.cache_implementation=static,backend.torch_compile=True": {
28
+ "940fde8dafaecb8f17b588c5078291f1c1a420c8": {
29
+ "metrics": {
30
+ "prefill.latency.mean": 0.01400380802154541,
31
+ "prefill.throughput.value": 499.86403621288036,
32
+ "decode.latency.mean": 1.5594651489257814,
33
+ "decode.throughput.value": 81.4381777543938,
34
+ "per_token.latency.mean": 0.012331704181173573,
35
+ "per_token.throughput.value": 81.09179277318934
36
+ }
37
+ }
38
+ }
39
+ }
40
+ }