File size: 3,580 Bytes
997c64d
 
 
 
31a4e6a
997c64d
 
bb17aa6
63936ee
d1cd050
 
997c64d
 
 
 
 
d1cd050
 
997c64d
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
b736608
ed30970
 
997c64d
 
 
 
 
 
 
 
 
 
 
52f983b
997c64d
 
 
 
 
ac75953
16ecf5d
 
997c64d
 
 
 
 
e087eb0
997c64d
 
5e154ad
997c64d
eade806
997c64d
 
 
 
 
8c6cbde
997c64d
c72a323
997c64d
bfb7fa1
997c64d
ce0e7aa
997c64d
473d1e0
997c64d
3bb7b55
997c64d
bfb7fa1
cba5392
510c4ae
 
 
997c64d
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
104
105
106
107
108
109
{
    "name": "cuda_training_transformers_image-classification_google/vit-base-patch16-224",
    "backend": {
        "name": "pytorch",
        "version": "2.4.1+cu124",
        "_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": "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": "training",
        "_target_": "optimum_benchmark.scenarios.training.scenario.TrainingScenario",
        "max_steps": 5,
        "warmup_steps": 2,
        "dataset_shapes": {
            "dataset_size": 500,
            "sequence_length": 16,
            "num_choices": 1
        },
        "training_arguments": {
            "per_device_train_batch_size": 2,
            "gradient_accumulation_steps": 1,
            "output_dir": "./trainer_output",
            "evaluation_strategy": "no",
            "eval_strategy": "no",
            "save_strategy": "no",
            "do_train": true,
            "use_cpu": false,
            "max_steps": 5,
            "do_eval": false,
            "do_predict": false,
            "report_to": "none",
            "skip_memory_metrics": true,
            "ddp_find_unused_parameters": false
        },
        "latency": true,
        "memory": true,
        "energy": true
    },
    "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": 66697.261056,
        "system": "Linux",
        "machine": "x86_64",
        "platform": "Linux-5.10.225-213.878.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": "0.5.0.dev0",
        "optimum_benchmark_commit": null,
        "transformers_version": "4.45.2",
        "transformers_commit": null,
        "accelerate_version": "1.0.1",
        "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": "0.13.2",
        "peft_commit": null
    },
    "print_report": true,
    "log_report": true
}