File size: 3,267 Bytes
e4d3b4e
 
 
 
942affc
e4d3b4e
 
4fb9af2
6712d9c
045bc28
 
e4d3b4e
 
 
 
 
045bc28
 
e4d3b4e
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
ee0c556
e4d3b4e
 
 
 
 
 
 
 
 
 
 
 
 
 
 
b7236dd
 
e4d3b4e
 
 
 
 
ae0de3b
e4d3b4e
 
942affc
e4d3b4e
437ab2e
e4d3b4e
 
 
 
 
b6cdb78
e4d3b4e
20daeae
e4d3b4e
e18873b
e4d3b4e
942affc
e4d3b4e
 
 
942affc
e4d3b4e
 
ae0de3b
 
 
e4d3b4e
 
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
97
98
99
100
101
102
103
{
    "name": "cuda_inference_transformers_fill-mask_google-bert/bert-base-uncased",
    "backend": {
        "name": "pytorch",
        "version": "2.3.1+cu121",
        "_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": "cuda",
        "device_ids": "0",
        "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": true,
        "device_isolation_action": "error",
        "numactl": false,
        "numactl_kwargs": {},
        "start_method": "spawn"
    },
    "environment": {
        "cpu": " AMD EPYC 7R32",
        "cpu_count": 16,
        "cpu_ram_mb": 66697.293824,
        "system": "Linux",
        "machine": "x86_64",
        "platform": "Linux-5.10.219-208.866.amzn2.x86_64-x86_64-with-glibc2.35",
        "processor": "x86_64",
        "python_version": "3.10.12",
        "gpu": [
            "NVIDIA A10G"
        ],
        "gpu_count": 1,
        "gpu_vram_mb": 24146608128,
        "optimum_benchmark_version": "0.3.1",
        "optimum_benchmark_commit": null,
        "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,
        "llama_cpp_version": null,
        "llama_cpp_commit": null
    }
}