File size: 7,068 Bytes
613988f
 
 
 
 
b77ac89
613988f
 
106a1db
6a37453
d7e65e7
 
613988f
 
 
 
 
d7e65e7
 
613988f
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
3dfbb78
dd7db75
 
613988f
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
5b1eb47
 
613988f
 
 
 
 
dcaf04c
613988f
 
6ce8570
613988f
 
d29c6a8
c4c7e82
a8017b5
613988f
b77ac89
613988f
a8017b5
613988f
 
 
f3a61c3
613988f
 
a609ac9
613988f
 
 
 
 
 
c4c7e82
613988f
 
 
 
 
 
 
 
c4c7e82
 
 
 
 
 
 
613988f
c4c7e82
 
 
 
 
613988f
 
 
 
c4c7e82
613988f
 
 
 
 
 
 
c4c7e82
613988f
 
 
 
 
 
 
 
c4c7e82
 
 
 
 
 
 
613988f
c4c7e82
 
613988f
 
 
 
c4c7e82
613988f
 
 
 
 
 
 
c4c7e82
613988f
 
 
 
 
 
 
 
c4c7e82
 
 
 
 
 
 
613988f
c4c7e82
 
 
613988f
 
 
 
c4c7e82
613988f
 
 
 
 
 
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_token-classification_microsoft/deberta-v3-base",
        "backend": {
            "name": "pytorch",
            "version": "2.4.0+cpu",
            "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
            "task": "token-classification",
            "library": "transformers",
            "model_type": "deberta-v2",
            "model": "microsoft/deberta-v3-base",
            "processor": "microsoft/deberta-v3-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": "12035129458b49eb93fa8919571e0352f4f4cb1e",
            "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": 4414.877696,
                "max_global_vram": null,
                "max_process_vram": null,
                "max_reserved": null,
                "max_allocated": null
            },
            "latency": {
                "unit": "s",
                "count": 5,
                "total": 5.981904424999982,
                "mean": 1.1963808849999964,
                "stdev": 0.07357938782248602,
                "p50": 1.1606337239999789,
                "p90": 1.2747699184000112,
                "p95": 1.308709112200006,
                "p99": 1.335860467240002,
                "values": [
                    1.342648306000001,
                    1.14753250199999,
                    1.1581375559999856,
                    1.1606337239999789,
                    1.1729523370000265
                ]
            },
            "throughput": {
                "unit": "samples/s",
                "value": 8.358542104256397
            },
            "energy": null,
            "efficiency": null
        },
        "warmup": {
            "memory": {
                "unit": "MB",
                "max_ram": 4414.877696,
                "max_global_vram": null,
                "max_process_vram": null,
                "max_reserved": null,
                "max_allocated": null
            },
            "latency": {
                "unit": "s",
                "count": 2,
                "total": 2.490180807999991,
                "mean": 1.2450904039999955,
                "stdev": 0.09755790200000547,
                "p50": 1.2450904039999955,
                "p90": 1.3231367256,
                "p95": 1.3328925158000005,
                "p99": 1.340697147960001,
                "values": [
                    1.342648306000001,
                    1.14753250199999
                ]
            },
            "throughput": {
                "unit": "samples/s",
                "value": 3.2126181256795023
            },
            "energy": null,
            "efficiency": null
        },
        "train": {
            "memory": {
                "unit": "MB",
                "max_ram": 4414.877696,
                "max_global_vram": null,
                "max_process_vram": null,
                "max_reserved": null,
                "max_allocated": null
            },
            "latency": {
                "unit": "s",
                "count": 3,
                "total": 3.491723616999991,
                "mean": 1.1639078723333303,
                "stdev": 0.0064760826380039745,
                "p50": 1.1606337239999789,
                "p90": 1.170488614400017,
                "p95": 1.1717204757000217,
                "p99": 1.1727059647400255,
                "values": [
                    1.1581375559999856,
                    1.1606337239999789,
                    1.1729523370000265
                ]
            },
            "throughput": {
                "unit": "samples/s",
                "value": 5.155047184251424
            },
            "energy": null,
            "efficiency": null
        }
    }
}