File size: 3,118 Bytes
78abd60
 
 
 
ad47ca3
78abd60
 
4cdfb0f
278f02d
94ebf05
 
78abd60
 
 
 
 
94ebf05
 
78abd60
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
ba0db6b
78abd60
 
 
 
 
 
 
 
 
 
 
 
 
 
f46053b
950894c
 
78abd60
 
 
 
 
fd5d8aa
78abd60
 
8648611
78abd60
8648611
41ba804
8b553f8
b9bacb5
78abd60
9582de4
78abd60
9582de4
78abd60
 
 
b9bacb5
78abd60
 
0acd39b
78abd60
 
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
{
    "name": "cpu_inference_transformers_multiple-choice_FacebookAI/roberta-base",
    "backend": {
        "name": "pytorch",
        "version": "2.4.1+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": null,
        "numactl": false,
        "numactl_kwargs": {},
        "start_method": "spawn"
    },
    "environment": {
        "cpu": " AMD EPYC 7763 64-Core Processor",
        "cpu_count": 4,
        "cpu_ram_mb": 16766.767104,
        "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": "c48d602cd7a21df41cc07305fa12549ed74a7e13",
        "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
    }
}