File size: 7,230 Bytes
d7a3415
 
 
 
 
5631f61
d7a3415
 
c0b4d1e
1625830
9fbb833
 
d7a3415
 
 
 
 
9fbb833
 
d7a3415
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
f9d2015
6327b6a
 
d7a3415
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
f140f42
 
d7a3415
 
 
 
 
588ed51
d7a3415
 
588ed51
d7a3415
a71ee4d
d7a3415
 
 
 
 
9fdb35d
d7a3415
430f5e1
d7a3415
391ab61
d7a3415
430f5e1
d7a3415
 
 
637db92
d7a3415
 
44a9c4d
d7a3415
 
 
 
 
 
5631f61
629c3e6
d7a3415
629c3e6
 
d7a3415
 
 
 
5631f61
 
 
 
 
 
 
d7a3415
5631f61
 
 
 
 
d7a3415
 
 
 
5631f61
d7a3415
 
 
 
 
 
 
5631f61
629c3e6
d7a3415
629c3e6
 
d7a3415
 
 
 
5631f61
 
 
 
 
 
 
d7a3415
5631f61
 
d7a3415
 
 
 
5631f61
d7a3415
 
 
 
 
 
 
5631f61
629c3e6
d7a3415
629c3e6
 
d7a3415
 
 
 
5631f61
 
 
 
 
 
 
d7a3415
5631f61
 
 
d7a3415
 
 
 
5631f61
d7a3415
 
 
 
 
 
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_text-generation_openai-community/gpt2",
        "backend": {
            "name": "pytorch",
            "version": "2.4.0+cu124",
            "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
            "task": "text-generation",
            "library": "transformers",
            "model_type": "gpt2",
            "model": "openai-community/gpt2",
            "processor": "openai-community/gpt2",
            "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 7R32",
            "cpu_count": 16,
            "cpu_ram_mb": 66697.25696,
            "system": "Linux",
            "machine": "x86_64",
            "platform": "Linux-5.10.220-209.869.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": "0.4.0",
            "optimum_benchmark_commit": null,
            "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
        }
    },
    "report": {
        "overall": {
            "memory": {
                "unit": "MB",
                "max_ram": 1330.638848,
                "max_global_vram": 3559.391232,
                "max_process_vram": 0.0,
                "max_reserved": 2910.846976,
                "max_allocated": 2523.776
            },
            "latency": {
                "unit": "s",
                "count": 5,
                "total": 0.5270210762023926,
                "mean": 0.10540421524047852,
                "stdev": 0.12326578085505298,
                "p50": 0.043641857147216793,
                "p90": 0.22897009582519534,
                "p95": 0.2904522872924804,
                "p99": 0.3396380404663086,
                "values": [
                    0.35193447875976563,
                    0.044523521423339846,
                    0.04357120132446289,
                    0.043641857147216793,
                    0.04335001754760742
                ]
            },
            "throughput": {
                "unit": "samples/s",
                "value": 94.8728661105736
            },
            "energy": null,
            "efficiency": null
        },
        "warmup": {
            "memory": {
                "unit": "MB",
                "max_ram": 1330.638848,
                "max_global_vram": 3559.391232,
                "max_process_vram": 0.0,
                "max_reserved": 2910.846976,
                "max_allocated": 2523.776
            },
            "latency": {
                "unit": "s",
                "count": 2,
                "total": 0.3964580001831055,
                "mean": 0.19822900009155275,
                "stdev": 0.15370547866821288,
                "p50": 0.19822900009155275,
                "p90": 0.32119338302612305,
                "p95": 0.33656393089294434,
                "p99": 0.3488603691864014,
                "values": [
                    0.35193447875976563,
                    0.044523521423339846
                ]
            },
            "throughput": {
                "unit": "samples/s",
                "value": 20.1786822218373
            },
            "energy": null,
            "efficiency": null
        },
        "train": {
            "memory": {
                "unit": "MB",
                "max_ram": 1330.638848,
                "max_global_vram": 3559.391232,
                "max_process_vram": 0.0,
                "max_reserved": 2910.846976,
                "max_allocated": 2523.776
            },
            "latency": {
                "unit": "s",
                "count": 3,
                "total": 0.1305630760192871,
                "mean": 0.04352102533976237,
                "stdev": 0.00012431360895074945,
                "p50": 0.04357120132446289,
                "p90": 0.04362772598266601,
                "p95": 0.043634791564941405,
                "p99": 0.04364044403076171,
                "values": [
                    0.04357120132446289,
                    0.043641857147216793,
                    0.04335001754760742
                ]
            },
            "throughput": {
                "unit": "samples/s",
                "value": 137.86439894646014
            },
            "energy": null,
            "efficiency": null
        }
    }
}