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Rename internal creation fn for maxvit, has not been just coatnet for a while...
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timm/models/maxxvit.py

Lines changed: 29 additions & 29 deletions
Original file line numberDiff line numberDiff line change
@@ -1544,7 +1544,7 @@ def forward(self, x):
15441544
return x
15451545

15461546

1547-
def _create_coatnet(variant, cfg_variant=None, pretrained=False, **kwargs):
1547+
def _create_maxxvit(variant, cfg_variant=None, pretrained=False, **kwargs):
15481548
return build_model_with_cfg(
15491549
MaxxVit, variant, pretrained,
15501550
model_cfg=model_cfgs[variant] if not cfg_variant else model_cfgs[cfg_variant],
@@ -1554,139 +1554,139 @@ def _create_coatnet(variant, cfg_variant=None, pretrained=False, **kwargs):
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15551555
@register_model
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def coatnet_pico_rw_224(pretrained=False, **kwargs):
1557-
return _create_coatnet('coatnet_pico_rw_224', pretrained=pretrained, **kwargs)
1557+
return _create_maxxvit('coatnet_pico_rw_224', pretrained=pretrained, **kwargs)
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15601560
@register_model
15611561
def coatnet_nano_rw_224(pretrained=False, **kwargs):
1562-
return _create_coatnet('coatnet_nano_rw_224', pretrained=pretrained, **kwargs)
1562+
return _create_maxxvit('coatnet_nano_rw_224', pretrained=pretrained, **kwargs)
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15651565
@register_model
15661566
def coatnet_0_rw_224(pretrained=False, **kwargs):
1567-
return _create_coatnet('coatnet_0_rw_224', pretrained=pretrained, **kwargs)
1567+
return _create_maxxvit('coatnet_0_rw_224', pretrained=pretrained, **kwargs)
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15701570
@register_model
15711571
def coatnet_1_rw_224(pretrained=False, **kwargs):
1572-
return _create_coatnet('coatnet_1_rw_224', pretrained=pretrained, **kwargs)
1572+
return _create_maxxvit('coatnet_1_rw_224', pretrained=pretrained, **kwargs)
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15741574

15751575
@register_model
15761576
def coatnet_2_rw_224(pretrained=False, **kwargs):
1577-
return _create_coatnet('coatnet_2_rw_224', pretrained=pretrained, **kwargs)
1577+
return _create_maxxvit('coatnet_2_rw_224', pretrained=pretrained, **kwargs)
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15801580
@register_model
15811581
def coatnet_bn_0_rw_224(pretrained=False, **kwargs):
1582-
return _create_coatnet('coatnet_bn_0_rw_224', pretrained=pretrained, **kwargs)
1582+
return _create_maxxvit('coatnet_bn_0_rw_224', pretrained=pretrained, **kwargs)
15831583

15841584

15851585
@register_model
15861586
def coatnet_rmlp_nano_rw_224(pretrained=False, **kwargs):
1587-
return _create_coatnet('coatnet_rmlp_nano_rw_224', pretrained=pretrained, **kwargs)
1587+
return _create_maxxvit('coatnet_rmlp_nano_rw_224', pretrained=pretrained, **kwargs)
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15901590
@register_model
15911591
def coatnet_rmlp_0_rw_224(pretrained=False, **kwargs):
1592-
return _create_coatnet('coatnet_rmlp_0_rw_224', pretrained=pretrained, **kwargs)
1592+
return _create_maxxvit('coatnet_rmlp_0_rw_224', pretrained=pretrained, **kwargs)
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15941594

15951595
@register_model
15961596
def coatnet_rmlp_1_rw_224(pretrained=False, **kwargs):
1597-
return _create_coatnet('coatnet_rmlp_1_rw_224', pretrained=pretrained, **kwargs)
1597+
return _create_maxxvit('coatnet_rmlp_1_rw_224', pretrained=pretrained, **kwargs)
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16001600
@register_model
16011601
def coatnet_nano_cc_224(pretrained=False, **kwargs):
1602-
return _create_coatnet('coatnet_nano_cc_224', pretrained=pretrained, **kwargs)
1602+
return _create_maxxvit('coatnet_nano_cc_224', pretrained=pretrained, **kwargs)
16031603

16041604

16051605
@register_model
16061606
def coatnext_nano_rw_224(pretrained=False, **kwargs):
1607-
return _create_coatnet('coatnext_nano_rw_224', pretrained=pretrained, **kwargs)
1607+
return _create_maxxvit('coatnext_nano_rw_224', pretrained=pretrained, **kwargs)
16081608

16091609

16101610
@register_model
16111611
def coatnet_0_224(pretrained=False, **kwargs):
1612-
return _create_coatnet('coatnet_0_224', pretrained=pretrained, **kwargs)
1612+
return _create_maxxvit('coatnet_0_224', pretrained=pretrained, **kwargs)
16131613

16141614

16151615
@register_model
16161616
def coatnet_1_224(pretrained=False, **kwargs):
1617-
return _create_coatnet('coatnet_1_224', pretrained=pretrained, **kwargs)
1617+
return _create_maxxvit('coatnet_1_224', pretrained=pretrained, **kwargs)
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16191619

16201620
@register_model
16211621
def coatnet_2_224(pretrained=False, **kwargs):
1622-
return _create_coatnet('coatnet_2_224', pretrained=pretrained, **kwargs)
1622+
return _create_maxxvit('coatnet_2_224', pretrained=pretrained, **kwargs)
16231623

16241624

16251625
@register_model
16261626
def coatnet_3_224(pretrained=False, **kwargs):
1627-
return _create_coatnet('coatnet_3_224', pretrained=pretrained, **kwargs)
1627+
return _create_maxxvit('coatnet_3_224', pretrained=pretrained, **kwargs)
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16291629

16301630
@register_model
16311631
def coatnet_4_224(pretrained=False, **kwargs):
1632-
return _create_coatnet('coatnet_4_224', pretrained=pretrained, **kwargs)
1632+
return _create_maxxvit('coatnet_4_224', pretrained=pretrained, **kwargs)
16331633

16341634

16351635
@register_model
16361636
def coatnet_5_224(pretrained=False, **kwargs):
1637-
return _create_coatnet('coatnet_5_224', pretrained=pretrained, **kwargs)
1637+
return _create_maxxvit('coatnet_5_224', pretrained=pretrained, **kwargs)
16381638

16391639

16401640
@register_model
16411641
def maxvit_pico_rw_256(pretrained=False, **kwargs):
1642-
return _create_coatnet('maxvit_pico_rw_256', pretrained=pretrained, **kwargs)
1642+
return _create_maxxvit('maxvit_pico_rw_256', pretrained=pretrained, **kwargs)
16431643

16441644

16451645
@register_model
16461646
def maxvit_nano_rw_256(pretrained=False, **kwargs):
1647-
return _create_coatnet('maxvit_nano_rw_256', pretrained=pretrained, **kwargs)
1647+
return _create_maxxvit('maxvit_nano_rw_256', pretrained=pretrained, **kwargs)
16481648

16491649

16501650
@register_model
16511651
def maxvit_tiny_rw_224(pretrained=False, **kwargs):
1652-
return _create_coatnet('maxvit_tiny_rw_224', pretrained=pretrained, **kwargs)
1652+
return _create_maxxvit('maxvit_tiny_rw_224', pretrained=pretrained, **kwargs)
16531653

16541654

16551655
@register_model
16561656
def maxvit_tiny_rw_256(pretrained=False, **kwargs):
1657-
return _create_coatnet('maxvit_tiny_rw_256', pretrained=pretrained, **kwargs)
1657+
return _create_maxxvit('maxvit_tiny_rw_256', pretrained=pretrained, **kwargs)
16581658

16591659

16601660
@register_model
16611661
def maxvit_tiny_cm_256(pretrained=False, **kwargs):
1662-
return _create_coatnet('maxvit_tiny_cm_256', pretrained=pretrained, **kwargs)
1662+
return _create_maxxvit('maxvit_tiny_cm_256', pretrained=pretrained, **kwargs)
16631663

16641664

16651665
@register_model
16661666
def maxxvit_nano_rw_256(pretrained=False, **kwargs):
1667-
return _create_coatnet('maxxvit_nano_rw_256', pretrained=pretrained, **kwargs)
1667+
return _create_maxxvit('maxxvit_nano_rw_256', pretrained=pretrained, **kwargs)
16681668

16691669

16701670
@register_model
16711671
def maxvit_tiny_224(pretrained=False, **kwargs):
1672-
return _create_coatnet('maxvit_tiny_224', pretrained=pretrained, **kwargs)
1672+
return _create_maxxvit('maxvit_tiny_224', pretrained=pretrained, **kwargs)
16731673

16741674

16751675
@register_model
16761676
def maxvit_small_224(pretrained=False, **kwargs):
1677-
return _create_coatnet('maxvit_small_224', pretrained=pretrained, **kwargs)
1677+
return _create_maxxvit('maxvit_small_224', pretrained=pretrained, **kwargs)
16781678

16791679

16801680
@register_model
16811681
def maxvit_base_224(pretrained=False, **kwargs):
1682-
return _create_coatnet('maxvit_base_224', pretrained=pretrained, **kwargs)
1682+
return _create_maxxvit('maxvit_base_224', pretrained=pretrained, **kwargs)
16831683

16841684

16851685
@register_model
16861686
def maxvit_large_224(pretrained=False, **kwargs):
1687-
return _create_coatnet('maxvit_large_224', pretrained=pretrained, **kwargs)
1687+
return _create_maxxvit('maxvit_large_224', pretrained=pretrained, **kwargs)
16881688

16891689

16901690
@register_model
16911691
def maxvit_xlarge_224(pretrained=False, **kwargs):
1692-
return _create_coatnet('maxvit_xlarge_224', pretrained=pretrained, **kwargs)
1692+
return _create_maxxvit('maxvit_xlarge_224', pretrained=pretrained, **kwargs)

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