File size: 6,916 Bytes
6b3d8f4
 
 
 
 
d425e8d
6b3d8f4
 
872763c
ea28247
382b825
 
6b3d8f4
 
 
 
 
382b825
 
6b3d8f4
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
db25ece
6b3d8f4
 
 
 
 
 
 
 
 
 
 
 
 
 
 
464d9b0
 
6b3d8f4
 
 
 
 
2b63ec6
6b3d8f4
 
5dd3c1f
6b3d8f4
 
9573b0b
2b63ec6
956f14a
6b3d8f4
d425e8d
6b3d8f4
956f14a
6b3d8f4
 
 
f9ca346
6b3d8f4
 
b2f687c
6b3d8f4
 
 
db25ece
 
 
2b63ec6
db25ece
 
 
 
 
 
 
 
2b63ec6
 
db25ece
2b63ec6
 
 
 
db25ece
2b63ec6
db25ece
 
 
 
 
2b63ec6
 
db25ece
2b63ec6
db25ece
 
 
6b3d8f4
 
 
2b63ec6
6b3d8f4
 
 
 
 
 
 
2b63ec6
 
 
 
 
 
 
 
6b3d8f4
2b63ec6
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
6b3d8f4
 
 
 
2b63ec6
6b3d8f4
 
 
2b63ec6
 
6b3d8f4
2b63ec6
6b3d8f4
 
 
2b63ec6
6b3d8f4
 
 
 
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
{
    "config": {
        "name": "cpu_inference_transformers_multiple-choice_FacebookAI/roberta-base",
        "backend": {
            "name": "pytorch",
            "version": "2.4.0+cpu",
            "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
            "task": "multiple-choice",
            "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": "inference",
            "_target_": "optimum_benchmark.scenarios.inference.scenario.InferenceScenario",
            "iterations": 1,
            "duration": 1,
            "warmup_runs": 1,
            "input_shapes": {
                "batch_size": 1,
                "num_choices": 2,
                "sequence_length": 2
            },
            "new_tokens": null,
            "memory": true,
            "latency": true,
            "energy": true,
            "forward_kwargs": {},
            "generate_kwargs": {
                "max_new_tokens": 2,
                "min_new_tokens": 2
            },
            "call_kwargs": {
                "num_inference_steps": 2
            }
        },
        "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": 16757.346304,
            "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": "bf12ccfcd7efa011d0d69377131432e9b545fd5a",
            "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": {
        "load": {
            "memory": {
                "unit": "MB",
                "max_ram": 945.713152,
                "max_global_vram": null,
                "max_process_vram": null,
                "max_reserved": null,
                "max_allocated": null
            },
            "latency": {
                "unit": "s",
                "count": 1,
                "total": 4.267633167999975,
                "mean": 4.267633167999975,
                "stdev": 0.0,
                "p50": 4.267633167999975,
                "p90": 4.267633167999975,
                "p95": 4.267633167999975,
                "p99": 4.267633167999975,
                "values": [
                    4.267633167999975
                ]
            },
            "throughput": null,
            "energy": {
                "unit": "kWh",
                "cpu": 4.8267368838888404e-05,
                "ram": 2.0173552033183143e-06,
                "gpu": 0,
                "total": 5.028472404220672e-05
            },
            "efficiency": null
        },
        "forward": {
            "memory": {
                "unit": "MB",
                "max_ram": 956.7232,
                "max_global_vram": null,
                "max_process_vram": null,
                "max_reserved": null,
                "max_allocated": null
            },
            "latency": {
                "unit": "s",
                "count": 26,
                "total": 1.0261967080000431,
                "mean": 0.039469104153847814,
                "stdev": 0.0009719072148232728,
                "p50": 0.03914084199999479,
                "p90": 0.04031419000000369,
                "p95": 0.04151840250001726,
                "p99": 0.04247758049997685,
                "values": [
                    0.04188675300002842,
                    0.03914178700000548,
                    0.03889223999999558,
                    0.039125689999991664,
                    0.039336776000027385,
                    0.03945658800000729,
                    0.039128927000035674,
                    0.0400203949999991,
                    0.038935694999963744,
                    0.04013172399999121,
                    0.038979746999984854,
                    0.040215029000023605,
                    0.03917495500002133,
                    0.03871083400002817,
                    0.03882432699998617,
                    0.03914239100004124,
                    0.03985575600000857,
                    0.04041335099998378,
                    0.039088269999979275,
                    0.03865139200001977,
                    0.0391398969999841,
                    0.04267452299995966,
                    0.03872375800000327,
                    0.038309300999969764,
                    0.038556433999985984,
                    0.03968016800001806
                ]
            },
            "throughput": {
                "unit": "samples/s",
                "value": 25.336273053020655
            },
            "energy": {
                "unit": "kWh",
                "cpu": 1.516019548076869e-06,
                "ram": 6.335798404597184e-08,
                "gpu": 0.0,
                "total": 1.579377532122841e-06
            },
            "efficiency": {
                "unit": "samples/kWh",
                "value": 633160.8368873654
            }
        }
    }
}