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56 | 56 | 'regnet', 'byobnet', 'byoanet', 'mlp_mixer', 'hiera', 'fastvit', 'hieradet_sam2', 'aimv2*', 'tnt',
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57 | 57 | 'tiny_vit', 'vovnet', 'tresnet', 'rexnet', 'resnetv2', 'repghost', 'repvit', 'pvt_v2', 'nextvit', 'nest',
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58 | 58 | 'mambaout', 'inception_next', 'inception_v4', 'hgnet', 'gcvit', 'focalnet', 'efficientformer_v2', 'edgenext',
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59 |
| - 'davit', 'rdnet', 'convnext', 'pit' |
| 59 | + 'davit', 'rdnet', 'convnext', 'pit', 'starnet', 'shvit', 'fasternet', 'swiftformer', 'ghostnet', |
60 | 60 | ]
|
61 | 61 |
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62 | 62 | # transformer / hybrid models don't support full set of spatial / feature APIs and/or have spatial output.
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63 | 63 | NON_STD_FILTERS = [
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64 | 64 | 'vit_*', 'tnt_*', 'pit_*', 'coat_*', 'cait_*', '*mixer_*', 'gmlp_*', 'resmlp_*', 'twins_*',
|
65 |
| - 'convit_*', 'levit*', 'visformer*', 'deit*', 'xcit_*', 'crossvit_*', 'beit*', 'aimv2*', |
| 65 | + 'convit_*', 'levit*', 'visformer*', 'deit*', 'xcit_*', 'crossvit_*', 'beit*', 'aimv2*', 'swiftformer_*', |
66 | 66 | 'poolformer_*', 'volo_*', 'sequencer2d_*', 'mvitv2*', 'gcvit*', 'efficientformer*', 'sam_hiera*',
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67 | 67 | 'eva_*', 'flexivit*', 'eva02*', 'samvit_*', 'efficientvit_m*', 'tiny_vit_*', 'hiera_*', 'vitamin*', 'test_vit*',
|
68 | 68 | ]
|
@@ -221,6 +221,7 @@ def test_model_backward(model_name, batch_size):
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221 | 221 | EARLY_POOL_MODELS = (
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222 | 222 | timm.models.EfficientVit,
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223 | 223 | timm.models.EfficientVitLarge,
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| 224 | + timm.models.FasterNet, |
224 | 225 | timm.models.HighPerfGpuNet,
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225 | 226 | timm.models.GhostNet,
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226 | 227 | timm.models.MetaNeXt, # InceptionNeXt
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|
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