File size: 3,124 Bytes
fd1a946
 
 
 
d0ccc32
fd1a946
 
36613e2
56d8b0a
4e56ee4
 
fd1a946
 
 
 
 
4e56ee4
 
fd1a946
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
88b11a9
fd1a946
 
 
 
 
 
 
 
 
 
 
 
 
 
 
ed7b003
 
fd1a946
 
 
 
 
f8a7fe8
fd1a946
 
0c58ea2
fd1a946
8a5b3df
8af2acb
0bd9b5a
54911aa
fd1a946
0c58ea2
fd1a946
d0ccc32
fd1a946
 
 
d0ccc32
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": "2.3.1+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": "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": "64d7cde4ffc4c5c7d57f80bbb0bfaa5207878a13",
        "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
    }
}