File size: 7,352 Bytes
7c8d12c
 
 
 
 
 
 
 
 
9402f65
c53ca35
 
7c8d12c
 
 
 
 
c53ca35
 
7c8d12c
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
c5a3d15
1384b6a
 
7c8d12c
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
3b46373
 
7c8d12c
 
 
fb7b085
 
 
7c8d12c
 
 
 
 
 
 
 
 
 
6d07633
3ee57ae
fb7b085
7c8d12c
21c6916
7c8d12c
071845a
7c8d12c
 
 
fb7b085
7c8d12c
 
06b7044
7c8d12c
 
 
 
 
 
3ee57ae
 
 
7c8d12c
 
 
 
 
 
3ee57ae
 
 
 
 
 
 
7c8d12c
3ee57ae
 
 
 
 
7c8d12c
 
 
 
3ee57ae
7c8d12c
 
 
 
 
 
 
3ee57ae
 
 
7c8d12c
 
 
 
 
 
3ee57ae
 
 
 
 
 
 
7c8d12c
3ee57ae
 
7c8d12c
 
 
 
3ee57ae
7c8d12c
 
 
 
 
 
 
3ee57ae
 
 
7c8d12c
 
 
 
 
 
3ee57ae
 
 
 
 
 
 
7c8d12c
3ee57ae
 
 
7c8d12c
 
 
 
3ee57ae
7c8d12c
 
 
 
 
 
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
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
{
    "config": {
        "name": "cuda_training_transformers_multiple-choice_FacebookAI/roberta-base",
        "backend": {
            "name": "pytorch",
            "version": "2.2.2+rocm5.7",
            "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
            "task": "multiple-choice",
            "library": "transformers",
            "model_type": "roberta",
            "model": "FacebookAI/roberta-base",
            "processor": "FacebookAI/roberta-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": "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": false
        },
        "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 7643 48-Core Processor",
            "cpu_count": 96,
            "cpu_ram_mb": 1082028.982272,
            "system": "Linux",
            "machine": "x86_64",
            "platform": "Linux-5.15.0-84-generic-x86_64-with-glibc2.35",
            "processor": "x86_64",
            "python_version": "3.10.12",
            "gpu": [
                "Advanced Micro Devices, Inc. [AMD/ATI]"
            ],
            "gpu_count": 1,
            "gpu_vram_mb": 68702699520,
            "optimum_benchmark_version": "0.3.1",
            "optimum_benchmark_commit": "91971089040d6dac4da0f6b0a30eec8415a34544",
            "transformers_version": "4.43.3",
            "transformers_commit": null,
            "accelerate_version": "0.33.0",
            "accelerate_commit": null,
            "diffusers_version": "0.29.2",
            "diffusers_commit": null,
            "optimum_version": null,
            "optimum_commit": null,
            "timm_version": "1.0.8",
            "timm_commit": null,
            "peft_version": null,
            "peft_commit": null
        }
    },
    "report": {
        "overall": {
            "memory": {
                "unit": "MB",
                "max_ram": 1134.477312,
                "max_global_vram": 3148.988416,
                "max_process_vram": 302428.307456,
                "max_reserved": 2707.423232,
                "max_allocated": 2497.88416
            },
            "latency": {
                "unit": "s",
                "count": 5,
                "total": 0.6489777908325195,
                "mean": 0.1297955581665039,
                "stdev": 0.17514120401083486,
                "p50": 0.041892200469970706,
                "p90": 0.3055347259521485,
                "p95": 0.3928045791625976,
                "p99": 0.462620461730957,
                "values": [
                    0.48007443237304687,
                    0.043725166320800785,
                    0.04181011581420899,
                    0.041892200469970706,
                    0.04147587585449219
                ]
            },
            "throughput": {
                "unit": "samples/s",
                "value": 77.04423896518735
            },
            "energy": null,
            "efficiency": null
        },
        "warmup": {
            "memory": {
                "unit": "MB",
                "max_ram": 1134.477312,
                "max_global_vram": 3148.988416,
                "max_process_vram": 302428.307456,
                "max_reserved": 2707.423232,
                "max_allocated": 2497.88416
            },
            "latency": {
                "unit": "s",
                "count": 2,
                "total": 0.5237995986938476,
                "mean": 0.2618997993469238,
                "stdev": 0.21817463302612303,
                "p50": 0.2618997993469238,
                "p90": 0.43643950576782226,
                "p95": 0.45825696907043456,
                "p99": 0.4757109397125244,
                "values": [
                    0.48007443237304687,
                    0.043725166320800785
                ]
            },
            "throughput": {
                "unit": "samples/s",
                "value": 15.273016665054511
            },
            "energy": null,
            "efficiency": null
        },
        "train": {
            "memory": {
                "unit": "MB",
                "max_ram": 1134.477312,
                "max_global_vram": 3148.988416,
                "max_process_vram": 302428.307456,
                "max_reserved": 2707.423232,
                "max_allocated": 2497.88416
            },
            "latency": {
                "unit": "s",
                "count": 3,
                "total": 0.12517819213867187,
                "mean": 0.041726064046223955,
                "stdev": 0.00018005567868373485,
                "p50": 0.04181011581420899,
                "p90": 0.041875783538818365,
                "p95": 0.041883992004394535,
                "p99": 0.04189055877685547,
                "values": [
                    0.04181011581420899,
                    0.041892200469970706,
                    0.04147587585449219
                ]
            },
            "throughput": {
                "unit": "samples/s",
                "value": 143.79501487015946
            },
            "energy": null,
            "efficiency": null
        }
    }
}