Fix ViT SAM weight compat as weights at URL changed to not use repr layer. Fix #825. Tweak optim test.

pull/853/head
Ross Wightman 3 years ago
parent acd6c687fd
commit 708d87a813

@ -320,7 +320,7 @@ def test_sgd(optimizer):
lambda weight, bias: create_optimizer_v2([weight, bias], optimizer, lr=1e-3, momentum=1) lambda weight, bias: create_optimizer_v2([weight, bias], optimizer, lr=1e-3, momentum=1)
) )
_test_basic_cases( _test_basic_cases(
lambda weight, bias: create_optimizer_v2([weight, bias], optimizer, lr=1e-3, momentum=1, weight_decay=1) lambda weight, bias: create_optimizer_v2([weight, bias], optimizer, lr=1e-3, momentum=1, weight_decay=.1)
) )
_test_rosenbrock( _test_rosenbrock(
lambda params: create_optimizer_v2(params, optimizer, lr=1e-3) lambda params: create_optimizer_v2(params, optimizer, lr=1e-3)

@ -683,7 +683,8 @@ def vit_large_patch16_384(pretrained=False, **kwargs):
def vit_base_patch16_sam_224(pretrained=False, **kwargs): def vit_base_patch16_sam_224(pretrained=False, **kwargs):
""" ViT-Base (ViT-B/16) w/ SAM pretrained weights. Paper: https://arxiv.org/abs/2106.01548 """ ViT-Base (ViT-B/16) w/ SAM pretrained weights. Paper: https://arxiv.org/abs/2106.01548
""" """
model_kwargs = dict(patch_size=16, embed_dim=768, depth=12, num_heads=12, representation_size=768, **kwargs) # NOTE original SAM weights releaes worked with representation_size=768
model_kwargs = dict(patch_size=16, embed_dim=768, depth=12, num_heads=12, representation_size=0, **kwargs)
model = _create_vision_transformer('vit_base_patch16_sam_224', pretrained=pretrained, **model_kwargs) model = _create_vision_transformer('vit_base_patch16_sam_224', pretrained=pretrained, **model_kwargs)
return model return model
@ -692,7 +693,8 @@ def vit_base_patch16_sam_224(pretrained=False, **kwargs):
def vit_base_patch32_sam_224(pretrained=False, **kwargs): def vit_base_patch32_sam_224(pretrained=False, **kwargs):
""" ViT-Base (ViT-B/32) w/ SAM pretrained weights. Paper: https://arxiv.org/abs/2106.01548 """ ViT-Base (ViT-B/32) w/ SAM pretrained weights. Paper: https://arxiv.org/abs/2106.01548
""" """
model_kwargs = dict(patch_size=32, embed_dim=768, depth=12, num_heads=12, representation_size=768, **kwargs) # NOTE original SAM weights releaes worked with representation_size=768
model_kwargs = dict(patch_size=32, embed_dim=768, depth=12, num_heads=12, representation_size=0, **kwargs)
model = _create_vision_transformer('vit_base_patch32_sam_224', pretrained=pretrained, **model_kwargs) model = _create_vision_transformer('vit_base_patch32_sam_224', pretrained=pretrained, **model_kwargs)
return model return model

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