File size: 3,119 Bytes
fd1a946
 
 
 
0c25878
fd1a946
 
36613e2
56d8b0a
4e56ee4
 
fd1a946
 
 
 
 
4e56ee4
 
fd1a946
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
88b11a9
fd1a946
 
 
 
 
 
 
 
 
 
 
 
 
 
41a925c
ed7b003
 
fd1a946
 
 
 
 
8c105c9
fd1a946
 
765b83b
fd1a946
765b83b
2de3f3b
e8ee305
0ad738a
fd1a946
7add3a2
fd1a946
7add3a2
fd1a946
 
 
0ad738a
fd1a946
 
531bec3
fd1a946
 
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_fill-mask_google-bert/bert-base-uncased",
    "backend": {
        "name": "pytorch",
        "version": "2.4.1+cpu",
        "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
        "task": "fill-mask",
        "library": "transformers",
        "model_type": "bert",
        "model": "google-bert/bert-base-uncased",
        "processor": "google-bert/bert-base-uncased",
        "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": 16766.7712,
        "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": "1c43fa2fcd13a51b92e79f85bd1b3b0bffb11f79",
        "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
    }
}