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Add the 256x256 in1k ft of the so150m, add an alternate so150m def

pull/2415/head
Ross Wightman 2025-01-18 14:02:04 -08:00 committed by Ross Wightman
parent 2a84d68d02
commit 3677f67902
1 changed files with 22 additions and 2 deletions
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24
timm/models/vision_transformer.py
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@ -2152,15 +2152,20 @@ default_cfgs = {
'vit_base_patch16_reg4_gap_256.untrained': _cfg(
input_size=(3, 256, 256)),
'vit_so150m_patch16_reg4_gap_384.sbb_e250_in12k_ft_in1k': _cfg(
'vit_so150m_patch16_reg4_gap_256.sbb_e250_in12k_ft_in1k': _cfg(
hf_hub_id='timm/',
input_size=(3, 384, 384), crop_pct=1.0),
input_size=(3, 256, 256), crop_pct=0.95),
'vit_so150m_patch16_reg4_gap_256.sbb_e250_in12k': _cfg(
hf_hub_id='timm/',
num_classes=11821,
input_size=(3, 256, 256), crop_pct=0.95),
'vit_so150m_patch16_reg4_gap_384.sbb_e250_in12k_ft_in1k': _cfg(
hf_hub_id='timm/',
input_size=(3, 384, 384), crop_pct=1.0),
'vit_so150m_patch16_reg4_map_256.untrained': _cfg(
input_size=(3, 256, 256)),
'vit_so150m2_patch16_reg1_gap_256.untrained': _cfg(
input_size=(3, 256, 256), crop_pct=0.95),
'vit_intern300m_patch14_448.ogvl_dist': _cfg(
hf_hub_id='timm/',
@ -3467,6 +3472,7 @@ def vit_base_patch16_reg4_gap_256(pretrained: bool = False, **kwargs) -> VisionT
@register_model
def vit_so150m_patch16_reg4_map_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
""" SO150M (shape optimized, but diff than paper def, optimized for GPU) """
model_args = dict(
patch_size=16, embed_dim=896, depth=18, num_heads=14, mlp_ratio=2.572,
class_token=False, reg_tokens=4, global_pool='map',
@ -3478,6 +3484,7 @@ def vit_so150m_patch16_reg4_map_256(pretrained: bool = False, **kwargs) -> Visio
@register_model
def vit_so150m_patch16_reg4_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
""" SO150M (shape optimized, but diff than paper def, optimized for GPU) """
model_args = dict(
patch_size=16, embed_dim=896, depth=18, num_heads=14, mlp_ratio=2.572,
class_token=False, reg_tokens=4, global_pool='avg', fc_norm=False,
@ -3489,6 +3496,7 @@ def vit_so150m_patch16_reg4_gap_256(pretrained: bool = False, **kwargs) -> Visio
@register_model
def vit_so150m_patch16_reg4_gap_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
""" SO150M (shape optimized, but diff than paper def, optimized for GPU) """
model_args = dict(
patch_size=16, embed_dim=896, depth=18, num_heads=14, mlp_ratio=2.572,
class_token=False, reg_tokens=4, global_pool='avg', fc_norm=False,
@ -3498,6 +3506,18 @@ def vit_so150m_patch16_reg4_gap_384(pretrained: bool = False, **kwargs) -> Visio
return model
@register_model
def vit_so150m2_patch16_reg1_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
""" SO150M v2 (shape optimized, but diff than paper def, optimized for GPU) """
model_args = dict(
patch_size=16, embed_dim=896, depth=20, num_heads=14, mlp_ratio=2.429, init_values=1e-5,
qkv_bias=False, class_token=False, reg_tokens=1, global_pool='avg',
)
model = _create_vision_transformer(
'vit_so150m2_patch16_reg1_gap_256', pretrained=pretrained, **dict(model_args, **kwargs))
return model
@register_model
def vit_intern300m_patch14_448(pretrained: bool = False, **kwargs) -> VisionTransformer:
model_args = dict(