42 lines
1.6 KiB
YAML
42 lines
1.6 KiB
YAML
Collections:
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- Name: OFA
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Metadata:
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Training Data:
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- ImageNet-1k
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Paper:
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URL: https://arxiv.org/abs/1908.09791
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Title: ONCE-FOR-ALL TRAIN ONE NETWORK AND SPE- CIALIZE IT FOR EFFICIENT DEPLOYMENT
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README: configs/nas/mmcls/onceforall/README.md
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Code:
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URL: https://github.com/open-mmlab/mmrazor/blob/dev-1.x/mmrazor/models/algorithms/nas/bignas.py
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Version: V1.0.0rc2
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Models:
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- Name: ofa_mobilenet_subnet_8xb256_in1k_lat-22ms
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In Collection: OFA
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Metadata:
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Flops(G): 0.070
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Params(M): 4.3
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Subnet: https://github.com/open-mmlab/mmrazor/blob/dev-1.x/configs/nas/mmcls/onceforall/OFA_SUBNET_NOTE8_LAT22.yaml
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Results:
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- Task: Image Classification
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Dataset: ImageNet-1k
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Metrics:
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Top 1 Accuracy: 70.3
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Config: configs/nas/mmcls/onceforall/ofa_mobilenet_subnet_8xb256_in1k.py
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Weights: https://download.openmmlab.com/mmrazor/v1/ofa/ofa_mobilenet_subnet_8xb256_in1k_note8_lat%4022ms_top1%4070.4_finetune%4025.py_20221214_0938-fb7fb84f.pth
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- Name: ofa_mobilenet_subnet_8xb256_in1k_lat-31ms
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In Collection: OFA
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Metadata:
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Flops(G): 0.105
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Params(M): 4.6
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Subnet: https://github.com/open-mmlab/mmrazor/blob/dev-1.x/configs/nas/mmcls/onceforall/OFA_SUBNET_NOTE8_LAT31.yaml
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Results:
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- Task: Image Classification
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Dataset: ImageNet-1k
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Metrics:
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Top 1 Accuracy: 72.6
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Config: configs/nas/mmcls/onceforall/ofa_mobilenet_subnet_8xb256_in1k.py
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Weights: https://download.openmmlab.com/mmrazor/v1/ofa/ofa_mobilenet_subnet_8xb256_in1k_note8_lat%4031ms_top1%4072.8_finetune%4025.py_20221214_0939-981a8b2a.pth
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