File size: 3,214 Bytes
63d828a
 
 
 
51ebe71
63d828a
 
7978bec
61de0dd
1fe96f6
 
63d828a
 
 
 
 
1fe96f6
 
63d828a
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
83053bc
63d828a
 
 
 
 
 
 
 
 
 
 
 
 
 
 
b495063
 
63d828a
 
 
 
 
1b8b136
63d828a
 
51ebe71
63d828a
76642cc
63d828a
 
 
 
 
f525fc0
63d828a
61de0dd
63d828a
61de0dd
63d828a
51ebe71
63d828a
 
 
51ebe71
63d828a
 
 
 
 
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
{
    "name": "cuda_inference_transformers_token-classification_microsoft/deberta-v3-base",
    "backend": {
        "name": "pytorch",
        "version": "2.3.1+cu121",
        "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
        "task": "token-classification",
        "library": "transformers",
        "model_type": "deberta-v2",
        "model": "microsoft/deberta-v3-base",
        "processor": "microsoft/deberta-v3-base",
        "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": 66697.285632,
        "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
    }
}