File size: 8,145 Bytes
baaed97
 
 
 
 
e32557e
baaed97
08ed047
 
baaed97
 
 
 
 
 
 
 
 
 
 
24c8e5e
baaed97
 
 
 
 
 
 
3e19fa7
baaed97
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
e32557e
baaed97
 
aa1b105
baaed97
aa1b105
76b6355
 
f3a8f71
76b6355
aa1b105
76b6355
5537efa
76b6355
baaed97
 
aa1b105
76b6355
e2962dc
76b6355
baaed97
 
 
 
 
 
 
 
76b6355
baaed97
 
 
 
 
 
 
 
76b6355
baaed97
 
76b6355
 
 
 
 
 
baaed97
 
 
 
 
 
76b6355
 
e2962dc
76b6355
3e19fa7
 
 
 
 
 
76b6355
3e19fa7
 
 
 
 
 
 
 
76b6355
3e19fa7
 
76b6355
 
 
 
 
 
3e19fa7
 
 
 
 
 
76b6355
 
e2962dc
76b6355
baaed97
 
 
 
 
 
76b6355
baaed97
 
 
 
 
 
 
 
76b6355
baaed97
 
76b6355
 
 
 
 
 
baaed97
 
 
 
 
76b6355
baaed97
 
 
76b6355
 
baaed97
76b6355
baaed97
 
 
76b6355
baaed97
 
 
 
 
 
 
76b6355
 
baaed97
 
76b6355
 
 
 
 
 
 
 
baaed97
 
 
 
 
 
 
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
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
{
    "config": {
        "name": "cpu_inference_diffusers_text-to-image_hf-internal-testing/tiny-stable-diffusion-torch",
        "backend": {
            "name": "pytorch",
            "version": "2.8.0",
            "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
            "model": "hf-internal-testing/tiny-stable-diffusion-torch",
            "processor": "hf-internal-testing/tiny-stable-diffusion-torch",
            "task": "text-to-image",
            "library": "diffusers",
            "model_type": "stable-diffusion",
            "device": "cpu",
            "device_ids": null,
            "seed": 42,
            "inter_op_num_threads": null,
            "intra_op_num_threads": null,
            "model_kwargs": {},
            "processor_kwargs": {},
            "no_weights": false,
            "tp_plan": null,
            "device_map": null,
            "torch_dtype": null,
            "eval_mode": true,
            "to_bettertransformer": false,
            "low_cpu_mem_usage": null,
            "attn_implementation": null,
            "cache_implementation": null,
            "allow_tf32": false,
            "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": 2,
                "sequence_length": 16,
                "num_choices": 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": null,
            "numactl": false,
            "numactl_kwargs": {},
            "start_method": "spawn"
        },
        "environment": {
            "cpu": " AMD EPYC 7763 64-Core Processor",
            "cpu_count": 4,
            "cpu_ram_mb": 16772.579328,
            "system": "Linux",
            "machine": "x86_64",
            "platform": "Linux-6.11.0-1018-azure-x86_64-with-glibc2.39",
            "processor": "x86_64",
            "python_version": "3.10.18",
            "optimum_benchmark_version": "0.7.0.dev0",
            "optimum_benchmark_commit": "cedaacb09a439594145c7cdff4b1753540ff896f",
            "transformers_version": "4.55.2",
            "transformers_commit": "cedaacb09a439594145c7cdff4b1753540ff896f",
            "accelerate_version": "1.10.0",
            "accelerate_commit": "cedaacb09a439594145c7cdff4b1753540ff896f",
            "diffusers_version": "0.35.0",
            "diffusers_commit": "cedaacb09a439594145c7cdff4b1753540ff896f",
            "optimum_version": null,
            "optimum_commit": null,
            "timm_version": "1.0.19",
            "timm_commit": "cedaacb09a439594145c7cdff4b1753540ff896f",
            "peft_version": "0.17.0",
            "peft_commit": "cedaacb09a439594145c7cdff4b1753540ff896f"
        },
        "print_report": true,
        "log_report": true
    },
    "report": {
        "load_model": {
            "memory": {
                "unit": "MB",
                "max_ram": 949.121024,
                "max_global_vram": null,
                "max_process_vram": null,
                "max_reserved": null,
                "max_allocated": null
            },
            "latency": {
                "unit": "s",
                "values": [
                    1.5090605880000112
                ],
                "count": 1,
                "total": 1.5090605880000112,
                "mean": 1.5090605880000112,
                "p50": 1.5090605880000112,
                "p90": 1.5090605880000112,
                "p95": 1.5090605880000112,
                "p99": 1.5090605880000112,
                "stdev": 0,
                "stdev_": 0
            },
            "throughput": null,
            "energy": {
                "unit": "kWh",
                "cpu": 9.988531571489766e-05,
                "ram": 1.841391111944435e-05,
                "gpu": 0.0,
                "total": 0.00011829922683434201
            },
            "efficiency": null
        },
        "first_call": {
            "memory": {
                "unit": "MB",
                "max_ram": 1035.481088,
                "max_global_vram": null,
                "max_process_vram": null,
                "max_reserved": null,
                "max_allocated": null
            },
            "latency": {
                "unit": "s",
                "values": [
                    2.4621166219999964
                ],
                "count": 1,
                "total": 2.4621166219999964,
                "mean": 2.4621166219999964,
                "p50": 2.4621166219999964,
                "p90": 2.4621166219999964,
                "p95": 2.4621166219999964,
                "p99": 2.4621166219999964,
                "stdev": 0,
                "stdev_": 0
            },
            "throughput": null,
            "energy": {
                "unit": "kWh",
                "cpu": 0.00018217579443960982,
                "ram": 2.0988905841666714e-05,
                "gpu": 0.0,
                "total": 0.0002031647002812765
            },
            "efficiency": null
        },
        "call": {
            "memory": {
                "unit": "MB",
                "max_ram": 1044.303872,
                "max_global_vram": null,
                "max_process_vram": null,
                "max_reserved": null,
                "max_allocated": null
            },
            "latency": {
                "unit": "s",
                "values": [
                    2.4062261410000474
                ],
                "count": 1,
                "total": 2.4062261410000474,
                "mean": 2.4062261410000474,
                "p50": 2.4062261410000474,
                "p90": 2.4062261410000474,
                "p95": 2.4062261410000474,
                "p99": 2.4062261410000474,
                "stdev": 0,
                "stdev_": 0
            },
            "throughput": {
                "unit": "images/s",
                "value": 0.8311770726457088
            },
            "energy": {
                "unit": "kWh",
                "cpu": 5.912734400671761e-05,
                "ram": 6.7989440361112445e-06,
                "gpu": 0.0,
                "total": 6.592628804282885e-05
            },
            "efficiency": {
                "unit": "images/kWh",
                "value": 30336.912017565814
            }
        },
        "per_step": {
            "memory": null,
            "latency": {
                "unit": "s",
                "values": [
                    0.7390418969999928,
                    0.7204976219999821
                ],
                "count": 2,
                "total": 1.459539518999975,
                "mean": 0.7297697594999875,
                "p50": 0.7297697594999875,
                "p90": 0.7371874694999917,
                "p95": 0.7381146832499923,
                "p99": 0.7388564542499927,
                "stdev": 0.009272137500005329,
                "stdev_": 1.2705565528445946
            },
            "throughput": null,
            "energy": null,
            "efficiency": null
        }
    }
}