File size: 3,129 Bytes
e09b92c
 
 
 
b906b23
e09b92c
 
42984c1
801939c
85e515d
 
e09b92c
 
 
 
 
85e515d
 
e09b92c
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
afeaad1
e09b92c
 
 
 
 
 
 
 
 
 
 
 
 
 
 
93fb52f
 
e09b92c
 
 
 
 
05ddefb
e09b92c
 
78eab69
e09b92c
 
05ad254
05ddefb
157209a
e09b92c
b906b23
e09b92c
157209a
e09b92c
 
 
326d4c0
e09b92c
 
a3b5bac
e09b92c
 
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_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": "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-6.5.0-1025-azure-x86_64-with-glibc2.35",
        "processor": "x86_64",
        "python_version": "3.10.14",
        "optimum_benchmark_version": "0.4.0",
        "optimum_benchmark_commit": "6d9d5ca2350731ed23f64c0368b5a761377a7dae",
        "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
    }
}