Skip to content

GitLab

Switch branch/tag
Find file Normal viewHistoryPermalink
mmpretrain.yml 8.51 KB
Newer Older
limm's avatar
add tests part code  
limm committed
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
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264 
globals:
  repo_url: https://github.com/open-mmlab/mmpretrain/tree/main
  codebase_dir: ../mmpretrain
  checkpoint_force_download: False
  images:
    img_snake: &img_snake ../mmpretrain/demo/demo.JPEG
    img_color_cat: &img_color_cat ../mmpretrain/tests/data/color.jpg

  metric_info: &metric_info
    Top 1 Accuracy: # named after metafile.Results.Metrics
      metric_key: accuracy/top1 # key name in output json
      tolerance: 1 # metric ±n%
    Top 5 Accuracy:
      metric_key: accuracy/top5
      tolerance: 1 # metric ±n%
  convert_image: &convert_image
    input_img: *img_snake
    test_img: *img_color_cat
  backend_test: &default_backend_test True
  sdk:
    sdk_dynamic: &sdk_dynamic configs/mmpretrain/classification_sdk_dynamic.py


onnxruntime:
  pipeline_ort_static_fp32: &pipeline_ort_static_fp32
    convert_image: *convert_image
    backend_test: False
    deploy_config: configs/mmpretrain/classification_onnxruntime_static.py

  pipeline_ort_dynamic_fp32: &pipeline_ort_dynamic_fp32
    convert_image: *convert_image
    backend_test: False
    deploy_config: configs/mmpretrain/classification_onnxruntime_dynamic.py

  pipeline_ort_dynamic_fp16: &pipeline_ort_dynamic_fp16
    convert_image: *convert_image
    backend_test: False
    deploy_config: configs/mmpretrain/classification_onnxruntime-fp16_dynamic.py

tensorrt:
  pipeline_trt_static_fp32: &pipeline_trt_static_fp32
    convert_image: *convert_image
    backend_test: *default_backend_test
    deploy_config: configs/mmpretrain/classification_tensorrt_static-224x224.py

  pipeline_trt_static_fp16: &pipeline_trt_static_fp16
    convert_image: *convert_image
    backend_test: *default_backend_test
    deploy_config: configs/mmpretrain/classification_tensorrt-fp16_static-224x224.py

  pipeline_trt_static_fp16_384x384: &pipeline_trt_static_fp16_384x384
    convert_image: *convert_image
    backend_test: *default_backend_test
    deploy_config: configs/mmpretrain/classification_tensorrt-fp16_static-384x384.py

  pipeline_trt_static_int8: &pipeline_trt_static_int8
    convert_image: *convert_image
    backend_test: *default_backend_test
    deploy_config: configs/mmpretrain/classification_tensorrt-int8_static-224x224.py

  pipeline_trt_dynamic_fp32: &pipeline_trt_dynamic_fp32
    convert_image: *convert_image
    backend_test: *default_backend_test
    sdk_config: *sdk_dynamic
    deploy_config: configs/mmpretrain/classification_tensorrt_dynamic-224x224-224x224.py

  pipeline_trt_dynamic_fp16: &pipeline_trt_dynamic_fp16
    convert_image: *convert_image
    backend_test: *default_backend_test
    sdk_config: *sdk_dynamic
    deploy_config: configs/mmpretrain/classification_tensorrt-fp16_dynamic-224x224-224x224.py

  pipeline_trt_dynamic_int8: &pipeline_trt_dynamic_int8
    convert_image: *convert_image
    calib_dataset_cfg:
    backend_test: *default_backend_test
    sdk_config: *sdk_dynamic
    deploy_config: configs/mmpretrain/classification_tensorrt-int8_dynamic-224x224-224x224.py


openvino:
  pipeline_openvino_dynamic_fp32: &pipeline_openvino_dynamic_fp32
    convert_image: *convert_image
    backend_test: False
    deploy_config: configs/mmpretrain/classification_openvino_dynamic-224x224.py


ncnn:
  pipeline_ncnn_static_fp32: &pipeline_ncnn_static_fp32
    convert_image: *convert_image
    backend_test: False
    deploy_config: configs/mmpretrain/classification_ncnn_static.py

  pipeline_ncnn_dynamic_fp32: &pipeline_ncnn_dynamic_fp32
    convert_image: *convert_image
    backend_test: False
    deploy_config: configs/mmpretrain/classification_ncnn_dynamic.py


pplnn:
  pipeline_pplnn_dynamic_fp32: &pipeline_pplnn_dynamic_fp32
    convert_image: *convert_image
    backend_test: False
    deploy_config: configs/mmpretrain/classification_pplnn_dynamic-224x224.py


torchscript:
  pipeline_ts_fp32: &pipeline_ts_fp32
    convert_image: *convert_image
    backend_test: True
    deploy_config: configs/mmpretrain/classification_torchscript.py


models:
  - name: ResNet
    metafile: configs/resnet/metafile.yml
    model_configs:
      - configs/resnet/resnet18_8xb32_in1k.py # TODO Not benchmark config
    pipelines:
      - *pipeline_ts_fp32
      - *pipeline_ort_dynamic_fp32
#      - *pipeline_trt_dynamic_fp32
      - *pipeline_trt_dynamic_fp16
#      - *pipeline_trt_dynamic_int8
      - *pipeline_ncnn_static_fp32
      - *pipeline_pplnn_dynamic_fp32
      - *pipeline_openvino_dynamic_fp32

  - name: ResNeXt
    metafile: configs/resnext/metafile.yml
    model_configs:
      - configs/resnext/resnext50-32x4d_8xb32_in1k.py # TODO Not benchmark config
    pipelines:
      - *pipeline_ts_fp32
      - *pipeline_ort_dynamic_fp32
      - *pipeline_trt_dynamic_fp16
      - *pipeline_ncnn_static_fp32
      - *pipeline_pplnn_dynamic_fp32
      - *pipeline_openvino_dynamic_fp32

  - name: DenseNet
    metafile: configs/densenet/metafile.yml
    model_configs:
      - configs/densenet/densenet121_4xb256_in1k.py
    pipelines:
      - *pipeline_ts_fp32
      - *pipeline_ort_dynamic_fp32
      - *pipeline_trt_dynamic_fp16
      - *pipeline_ncnn_static_fp32
      - *pipeline_pplnn_dynamic_fp32
      - *pipeline_openvino_dynamic_fp32

  - name: SE-ResNet
    metafile: configs/seresnet/metafile.yml
    model_configs:
      - configs/seresnet/seresnet50_8xb32_in1k.py # TODO Not benchmark config
    pipelines:
      - *pipeline_ts_fp32
      - *pipeline_ort_dynamic_fp32
      - *pipeline_trt_dynamic_fp16
      - *pipeline_ncnn_static_fp32
      - *pipeline_pplnn_dynamic_fp32
      - *pipeline_openvino_dynamic_fp32

  - name: MobileNetV2
    metafile: configs/mobilenet_v2/metafile.yml
    model_configs:
      - configs/mobilenet_v2/mobilenet-v2_8xb32_in1k.py
    pipelines:
      - *pipeline_ts_fp32
      - *pipeline_ort_dynamic_fp32
      - *pipeline_trt_dynamic_fp16
      - *pipeline_ncnn_static_fp32
      - *pipeline_pplnn_dynamic_fp32
      - *pipeline_openvino_dynamic_fp32

  - name: ShuffleNetV1
    metafile: configs/shufflenet_v1/metafile.yml
    model_configs:
      - configs/shufflenet_v1/shufflenet-v1-1x_16xb64_in1k.py
    pipelines:
      - *pipeline_ts_fp32
#      - *pipeline_ort_static_fp32
      - *pipeline_trt_static_fp16
      - *pipeline_ncnn_static_fp32
#      - *pipeline_pplnn_dynamic_fp32
#      - *pipeline_openvino_dynamic_fp32

  - name: ShuffleNetV2
    metafile: configs/shufflenet_v2/metafile.yml
    model_configs:
      - configs/shufflenet_v2/shufflenet-v2-1x_16xb64_in1k.py
    pipelines:
      - *pipeline_ts_fp32
#      - *pipeline_ort_static_fp32
      - *pipeline_trt_static_fp16
      - *pipeline_ncnn_static_fp32
#      - *pipeline_pplnn_dynamic_fp32
#      - *pipeline_openvino_dynamic_fp32

  - name: VisionTransformer
    metafile: configs/vision_transformer/metafile.yml
    model_configs:
      - configs/vision_transformer/vit-base-p16_64xb64_in1k-384px.py
    pipelines:
      - *pipeline_ts_fp32
      - *pipeline_ort_dynamic_fp32
      - *pipeline_trt_static_fp16_384x384
      - *pipeline_ncnn_static_fp32

  - name: SwinTransformer
    metafile: configs/swin_transformer/metafile.yml
    model_configs:
      - configs/swin_transformer/swin-tiny_16xb64_in1k.py
    pipelines:
      - *pipeline_ts_fp32
      - *pipeline_ort_dynamic_fp32
      - *pipeline_trt_dynamic_fp32

  - name: MobileOne
    metafile: configs/mobileone/metafile.yml
    model_configs:
      - configs/mobileone/mobileone-s0_8xb32_in1k.py
    pipelines:
      - *pipeline_trt_static_fp16
      - *pipeline_ort_dynamic_fp32

  - name: EfficientNet
    metafile: configs/efficientnet/metafile.yml
    model_configs:
      - configs/efficientnet/efficientnet-b0_8xb32_in1k.py
    pipelines:
      - *pipeline_ort_static_fp32
      - convert_image: *convert_image
        deploy_config: configs/mmpretrain/classification_tensorrt_dynamic-224x224-224x224.py

  - name: Conformer
    metafile: configs/conformer/metafile.yml
    model_configs:
      - configs/conformer/conformer-tiny-p16_8xb128_in1k.py
    pipelines:
      - *pipeline_ort_dynamic_fp32
      - *pipeline_trt_dynamic_fp32

  - name: EfficientFormer
    metafile: configs/efficientformer/metafile.yml
    model_configs:
      - configs/efficientformer/efficientformer-l1_8xb128_in1k.py
    pipelines:
      - *pipeline_ts_fp32
      - *pipeline_ort_dynamic_fp32
      - *pipeline_trt_dynamic_fp32
      - *pipeline_openvino_dynamic_fp32

  - name: MobileNetV3
    metafile: configs/mobilenet_v3/metafile.yml
    model_configs:
      - configs/mobilenet_v3/mobilenet-v3-small_8xb128_in1k.py
    pipelines:
      - *pipeline_ts_fp32
      - *pipeline_ort_dynamic_fp32
      - *pipeline_trt_dynamic_fp16
      - *pipeline_ncnn_static_fp32
      - *pipeline_openvino_dynamic_fp32