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lucidrains authored Mar 6, 2021
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2 changes: 1 addition & 1 deletion README.md
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Expand Up @@ -45,7 +45,7 @@ model = Glom(
)

img = torch.randn(1, 3, 224, 224)
all_levels = model(img, iters = 12, return_all = True) # (13, 1, 256, 6, 512) - (batch, patches, levels, dimension)
all_levels = model(img, iters = 12, return_all = True) # (13, 1, 256, 6, 512) - (time, batch, patches, levels, dimension)

# get the top level outputs after iteration 6
top_level_output = all_levels[7, :, :, -1] # (1, 256, 512) - (batch, patches, dimension)
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