File size: 3,139 Bytes
903743d
 
 
 
7bc7825
903743d
 
4b7d104
13d6399
13cf760
 
903743d
 
 
 
 
13cf760
 
903743d
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
464b824
903743d
 
 
 
 
 
 
 
 
 
 
 
 
 
 
01f352d
 
903743d
 
 
 
 
220b361
903743d
 
40b7abd
903743d
 
b5e4478
220b361
54e81ac
903743d
7bc7825
903743d
54e81ac
903743d
 
 
727fca2
903743d
 
9c3a1d7
903743d
 
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_image-classification_google/vit-base-patch16-224",
    "backend": {
        "name": "pytorch",
        "version": "2.4.0+cpu",
        "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
        "task": "image-classification",
        "library": "transformers",
        "model_type": "vit",
        "model": "google/vit-base-patch16-224",
        "processor": "google/vit-base-patch16-224",
        "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
    }
}