File size: 7,049 Bytes
8fabb67
 
 
 
 
6ecce72
8fabb67
 
98d8eb3
3a03ec5
0ad3a0c
 
8fabb67
 
 
 
 
0ad3a0c
 
8fabb67
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
d0468a0
61539b0
 
8fabb67
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
b6b4549
f492e41
 
8fabb67
 
 
 
 
80fa91f
8fabb67
 
cbde798
8fabb67
cbde798
e9df601
d66f077
fc810bb
8fabb67
59e5b3b
8fabb67
f6a5cd9
8fabb67
 
 
fc810bb
8fabb67
 
d750ecd
8fabb67
 
 
 
 
 
d66f077
8fabb67
 
 
 
 
 
 
 
d66f077
 
 
 
 
 
 
8fabb67
d66f077
 
 
 
 
8fabb67
 
 
 
d66f077
8fabb67
 
0aba856
8fabb67
 
 
 
d66f077
8fabb67
 
 
 
 
 
 
 
d66f077
 
 
 
 
 
 
8fabb67
d66f077
 
8fabb67
 
 
 
d66f077
8fabb67
 
0aba856
8fabb67
 
 
 
d66f077
8fabb67
 
 
 
 
 
 
 
d66f077
 
 
 
 
 
 
8fabb67
d66f077
 
 
8fabb67
 
 
 
d66f077
8fabb67
 
0aba856
8fabb67
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
{
    "config": {
        "name": "cpu_training_transformers_text-generation_openai-community/gpt2",
        "backend": {
            "name": "pytorch",
            "version": "2.4.1+cpu",
            "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
            "task": "text-generation",
            "library": "transformers",
            "model_type": "gpt2",
            "model": "openai-community/gpt2",
            "processor": "openai-community/gpt2",
            "device": "cpu",
            "device_ids": null,
            "seed": 42,
            "inter_op_num_threads": null,
            "intra_op_num_threads": null,
            "model_kwargs": {},
            "processor_kwargs": {},
            "no_weights": true,
            "device_map": null,
            "torch_dtype": null,
            "eval_mode": true,
            "to_bettertransformer": false,
            "low_cpu_mem_usage": null,
            "attn_implementation": null,
            "cache_implementation": null,
            "autocast_enabled": false,
            "autocast_dtype": null,
            "torch_compile": false,
            "torch_compile_target": "forward",
            "torch_compile_config": {},
            "quantization_scheme": null,
            "quantization_config": {},
            "deepspeed_inference": false,
            "deepspeed_inference_config": {},
            "peft_type": null,
            "peft_config": {}
        },
        "scenario": {
            "name": "training",
            "_target_": "optimum_benchmark.scenarios.training.scenario.TrainingScenario",
            "max_steps": 5,
            "warmup_steps": 2,
            "dataset_shapes": {
                "dataset_size": 500,
                "sequence_length": 16,
                "num_choices": 1
            },
            "training_arguments": {
                "per_device_train_batch_size": 2,
                "gradient_accumulation_steps": 1,
                "output_dir": "./trainer_output",
                "evaluation_strategy": "no",
                "eval_strategy": "no",
                "save_strategy": "no",
                "do_train": true,
                "use_cpu": false,
                "max_steps": 5,
                "do_eval": false,
                "do_predict": false,
                "report_to": "none",
                "skip_memory_metrics": true,
                "ddp_find_unused_parameters": false
            },
            "latency": true,
            "memory": true,
            "energy": false
        },
        "launcher": {
            "name": "process",
            "_target_": "optimum_benchmark.launchers.process.launcher.ProcessLauncher",
            "device_isolation": false,
            "device_isolation_action": null,
            "numactl": false,
            "numactl_kwargs": {},
            "start_method": "spawn"
        },
        "environment": {
            "cpu": " AMD EPYC 7763 64-Core Processor",
            "cpu_count": 4,
            "cpu_ram_mb": 16766.7712,
            "system": "Linux",
            "machine": "x86_64",
            "platform": "Linux-6.8.0-1014-azure-x86_64-with-glibc2.35",
            "processor": "x86_64",
            "python_version": "3.10.15",
            "optimum_benchmark_version": "0.4.0",
            "optimum_benchmark_commit": "b502dde12931cbe71b3c4aa53e3850ce968529c8",
            "transformers_version": "4.44.2",
            "transformers_commit": null,
            "accelerate_version": "0.34.2",
            "accelerate_commit": null,
            "diffusers_version": "0.30.3",
            "diffusers_commit": null,
            "optimum_version": null,
            "optimum_commit": null,
            "timm_version": "1.0.9",
            "timm_commit": null,
            "peft_version": null,
            "peft_commit": null
        }
    },
    "report": {
        "overall": {
            "memory": {
                "unit": "MB",
                "max_ram": 2843.17696,
                "max_global_vram": null,
                "max_process_vram": null,
                "max_reserved": null,
                "max_allocated": null
            },
            "latency": {
                "unit": "s",
                "count": 5,
                "total": 3.1910116109999933,
                "mean": 0.6382023221999986,
                "stdev": 0.041087046999193196,
                "p50": 0.6238882190000083,
                "p90": 0.6820120575999965,
                "p95": 0.7004592617999946,
                "p99": 0.7152170251599932,
                "values": [
                    0.7189064659999929,
                    0.626670445000002,
                    0.6238882190000083,
                    0.6172917349999807,
                    0.6042547460000094
                ]
            },
            "throughput": {
                "unit": "samples/s",
                "value": 15.669012242901584
            },
            "energy": null,
            "efficiency": null
        },
        "warmup": {
            "memory": {
                "unit": "MB",
                "max_ram": 2843.17696,
                "max_global_vram": null,
                "max_process_vram": null,
                "max_reserved": null,
                "max_allocated": null
            },
            "latency": {
                "unit": "s",
                "count": 2,
                "total": 1.3455769109999949,
                "mean": 0.6727884554999974,
                "stdev": 0.04611801049999542,
                "p50": 0.6727884554999974,
                "p90": 0.7096828638999938,
                "p95": 0.7142946649499933,
                "p99": 0.7179841057899929,
                "values": [
                    0.7189064659999929,
                    0.626670445000002
                ]
            },
            "throughput": {
                "unit": "samples/s",
                "value": 5.945405227007519
            },
            "energy": null,
            "efficiency": null
        },
        "train": {
            "memory": {
                "unit": "MB",
                "max_ram": 2843.17696,
                "max_global_vram": null,
                "max_process_vram": null,
                "max_reserved": null,
                "max_allocated": null
            },
            "latency": {
                "unit": "s",
                "count": 3,
                "total": 1.8454346999999984,
                "mean": 0.6151448999999994,
                "stdev": 0.008157817963903512,
                "p50": 0.6172917349999807,
                "p90": 0.6225689222000028,
                "p95": 0.6232285706000056,
                "p99": 0.6237562893200078,
                "values": [
                    0.6238882190000083,
                    0.6172917349999807,
                    0.6042547460000094
                ]
            },
            "throughput": {
                "unit": "samples/s",
                "value": 9.753799470661312
            },
            "energy": null,
            "efficiency": null
        }
    }
}