Age | Commit message (Collapse) | Author |
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I don't feel this being efficient
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Statistics logging has changed to {filename : list[losses]}, so it has to use loss_info[key].pop()
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Someone had 6000 images in their dataset, and it was shown as 0, which was confusing.
This will allow tracking real time dataset-average loss for registered objects.
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getting no gradients
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and trained for hypernets
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of layer in hypernets
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This reverts commit 108be15500aac590b4e00420635d7b61fccfa530.
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rather than gradio input
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train: make it possible to make text files with prompts
train: rework scheduler so that there's less repeating code in textual inversion and hypernets
train: move epochs setting to options
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