Codebase Update via Noah's Refactored DDPM Notebook#64
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mateibejan1 merged 16 commits intocodebasefrom Dec 23, 2022
Merged
Codebase Update via Noah's Refactored DDPM Notebook#64mateibejan1 merged 16 commits intocodebasefrom
mateibejan1 merged 16 commits intocodebasefrom
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Updated DDPM with the Noah's refactored notebook version. Preemptively added p2_weighting, need to figure out if/how it works on bit sequences.
| init_dim=None, | ||
| dim_mults=(1, 2, 4, 8), | ||
| channels = 3, | ||
| bits = BITS, |
Collaborator
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What is BITS ? I'm assuming it's meant to be a type hint but it isn't defined anywhere in this script.
| # input_channels =16 | ||
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| init_dim = default(init_dim, dim) |
Collaborator
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What is default ?
src/models/diffusion/ddim.py
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| def ddim_sample(self, shape, classes, time_difference=None): | ||
| batch, device = shape[0], self.device | ||
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| time_difference = default(time_difference, self.time_difference) |
src/models/diffusion/ddim.py
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| img = x_start * alpha_next + pred_noise * sigma_next | ||
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| return bits_to_decimal(img) |
Collaborator
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What is bits_to_decimal ? some sorta utility function ?
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The following modules have been updated: