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* adapt mmlab modules * add vitdet * support conv aggregation * modify vitdet load pretrained * support fp16 * modify defaultformatbundle * modify aug * bugfix sampler * bugfix mmresize * bugfix fp16&nonetype * bugfix filterannotation * support dlc * bugfix dist * bugfix detsourcecoco * smodify mmdet_parse_losses * bugfix nan * bugfix eval * bugfix data=nonetype * modify resize_embed * support vitdet_conv * add vitdet_conv init_weight * add test_vitdet * uniform rand_another * uniform use fp16 method * add test_fp16 Co-authored-by: jiangnana.jnn <jiangnana.jnn@alibaba-inc.com>
19 lines
647 B
Python
19 lines
647 B
Python
# Copyright (c) Alibaba, Inc. and its affiliates.
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from .benchmark_mlp import BenchMarkMLP
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from .bninception import BNInception
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from .genet import PlainNet
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from .hrnet import HRNet
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from .inceptionv3 import Inception3
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from .lighthrnet import LiteHRNet
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from .mae_vit_transformer import *
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from .mnasnet import MNASNet
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from .mobilenetv2 import MobileNetV2
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from .pytorch_image_models_wrapper import *
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from .resnest import ResNeSt
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from .resnet import ResNet
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from .resnet_jit import ResNetJIT
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from .resnext import ResNeXt
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from .shuffle_transformer import ShuffleTransformer
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from .swin_transformer_dynamic import SwinTransformer
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from .vitdet import ViTDet
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