File size: 3,121 Bytes
78abd60
 
 
 
b537ff9
78abd60
 
4cdfb0f
278f02d
94ebf05
 
78abd60
 
 
 
 
94ebf05
 
78abd60
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
ba0db6b
78abd60
 
 
 
 
 
 
 
 
 
 
 
 
 
 
950894c
 
78abd60
 
 
 
 
ac6c659
78abd60
 
126c352
78abd60
 
c4fc789
0acd39b
d42b2ec
78abd60
126c352
78abd60
b537ff9
78abd60
 
 
b537ff9
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": "2.3.1+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": "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-6.5.0-1023-azure-x86_64-with-glibc2.35",
        "processor": "x86_64",
        "python_version": "3.10.14",
        "optimum_benchmark_version": "0.3.1",
        "optimum_benchmark_commit": "61123f7169ae188508e9e8c5ca6b9a54a00965ed",
        "transformers_version": "4.42.4",
        "transformers_commit": null,
        "accelerate_version": "0.32.1",
        "accelerate_commit": null,
        "diffusers_version": "0.29.2",
        "diffusers_commit": null,
        "optimum_version": null,
        "optimum_commit": null,
        "timm_version": "1.0.7",
        "timm_commit": null,
        "peft_version": null,
        "peft_commit": null
    }
}