File size: 7,068 Bytes
2431f91
 
 
 
 
d4c26c8
2431f91
 
e038850
1940d9f
fc7b24b
 
2431f91
 
 
 
 
fc7b24b
 
2431f91
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
4b19383
06deb7b
 
2431f91
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
94bfe1a
 
2431f91
 
 
 
 
132d4ae
2431f91
 
5493e01
2431f91
 
a707a7b
06a424d
205f717
2431f91
d4c26c8
2431f91
205f717
2431f91
 
 
b760336
2431f91
 
081a6fc
2431f91
 
 
 
 
 
06a424d
2431f91
 
 
 
 
 
 
 
06a424d
 
 
 
 
 
 
2431f91
06a424d
 
 
 
 
2431f91
 
 
 
06a424d
2431f91
 
 
 
 
 
 
06a424d
2431f91
 
 
 
 
 
 
 
06a424d
 
 
 
 
 
 
2431f91
06a424d
 
2431f91
 
 
 
06a424d
2431f91
 
 
 
 
 
 
06a424d
2431f91
 
 
 
 
 
 
 
06a424d
 
 
 
 
 
 
2431f91
06a424d
 
 
2431f91
 
 
 
06a424d
2431f91
 
 
 
 
 
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-classification_FacebookAI/roberta-base",
        "backend": {
            "name": "pytorch",
            "version": "2.4.0+cpu",
            "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
            "task": "text-classification",
            "library": "transformers",
            "model_type": "roberta",
            "model": "FacebookAI/roberta-base",
            "processor": "FacebookAI/roberta-base",
            "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": "error",
            "numactl": false,
            "numactl_kwargs": {},
            "start_method": "spawn"
        },
        "environment": {
            "cpu": " AMD EPYC 7763 64-Core Processor",
            "cpu_count": 4,
            "cpu_ram_mb": 16757.342208,
            "system": "Linux",
            "machine": "x86_64",
            "platform": "Linux-6.5.0-1025-azure-x86_64-with-glibc2.35",
            "processor": "x86_64",
            "python_version": "3.10.14",
            "optimum_benchmark_version": "0.4.0",
            "optimum_benchmark_commit": "8b759bc0742b6984132ce7d4aeb59966503ba57b",
            "transformers_version": "4.44.0",
            "transformers_commit": null,
            "accelerate_version": "0.33.0",
            "accelerate_commit": null,
            "diffusers_version": "0.30.0",
            "diffusers_commit": null,
            "optimum_version": null,
            "optimum_commit": null,
            "timm_version": "1.0.8",
            "timm_commit": null,
            "peft_version": null,
            "peft_commit": null
        }
    },
    "report": {
        "overall": {
            "memory": {
                "unit": "MB",
                "max_ram": 2874.523648,
                "max_global_vram": null,
                "max_process_vram": null,
                "max_reserved": null,
                "max_allocated": null
            },
            "latency": {
                "unit": "s",
                "count": 5,
                "total": 3.1301265229998876,
                "mean": 0.6260253045999775,
                "stdev": 0.04586234498320069,
                "p50": 0.6064001169999642,
                "p90": 0.673568143399973,
                "p95": 0.69551624019997,
                "p99": 0.7130747176399678,
                "values": [
                    0.7174643369999671,
                    0.6006470699999795,
                    0.6064001169999642,
                    0.5978911459999949,
                    0.6077238529999818
                ]
            },
            "throughput": {
                "unit": "samples/s",
                "value": 15.973795190898677
            },
            "energy": null,
            "efficiency": null
        },
        "warmup": {
            "memory": {
                "unit": "MB",
                "max_ram": 2874.523648,
                "max_global_vram": null,
                "max_process_vram": null,
                "max_reserved": null,
                "max_allocated": null
            },
            "latency": {
                "unit": "s",
                "count": 2,
                "total": 1.3181114069999467,
                "mean": 0.6590557034999733,
                "stdev": 0.05840863349999381,
                "p50": 0.6590557034999733,
                "p90": 0.7057826102999684,
                "p95": 0.7116234736499678,
                "p99": 0.7162961643299672,
                "values": [
                    0.7174643369999671,
                    0.6006470699999795
                ]
            },
            "throughput": {
                "unit": "samples/s",
                "value": 6.069289710653663
            },
            "energy": null,
            "efficiency": null
        },
        "train": {
            "memory": {
                "unit": "MB",
                "max_ram": 2874.523648,
                "max_global_vram": null,
                "max_process_vram": null,
                "max_reserved": null,
                "max_allocated": null
            },
            "latency": {
                "unit": "s",
                "count": 3,
                "total": 1.812015115999941,
                "mean": 0.604005038666647,
                "stdev": 0.004356820851947118,
                "p50": 0.6064001169999642,
                "p90": 0.6074591057999783,
                "p95": 0.60759147939998,
                "p99": 0.6076973782799814,
                "values": [
                    0.6064001169999642,
                    0.5978911459999949,
                    0.6077238529999818
                ]
            },
            "throughput": {
                "unit": "samples/s",
                "value": 9.933691965956307
            },
            "energy": null,
            "efficiency": null
        }
    }
}