Update stochastic sampler #673
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| input, | ||
| img_shape_y, | ||
| img_shape_x, | ||
| patch_shape_y, | ||
| patch_shape_x, | ||
| batch_size, | ||
| overlap_pix, | ||
| boundary_pix, |
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Can we add the type hints back?
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Yes for sure. Sorry for delay in response, the notification went to my personal email
| input.shape[0], input.shape[1], padded_shape_x, padded_shape_y | ||
| ).cuda() | ||
| input.shape[0], input.shape[1], padded_shape_y, padded_shape_x | ||
| ).to(input.device) |
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Can we initialize on the device instead?
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| input, | ||
| img_shape_y, | ||
| img_shape_x, | ||
| patch_shape_y, | ||
| patch_shape_x, | ||
| batch_size, | ||
| overlap_pix, | ||
| boundary_pix, | ||
| input_interp=None, |
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Looks good to me
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| net, | ||
| latents, | ||
| img_lr, | ||
| class_labels=None, | ||
| randn_like=torch.randn_like, | ||
| img_shape=448, | ||
| patch_shape=448, | ||
| overlap_pix=4, | ||
| boundary_pix=2, | ||
| mean_hr=None, | ||
| num_steps=18, | ||
| sigma_min=0.002, | ||
| sigma_max=800, | ||
| rho=7, | ||
| S_churn=0, | ||
| S_min=0, | ||
| S_max=float("inf"), | ||
| S_noise=1, | ||
| ): |
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looks good to me
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| # sigma_max = min(sigma_max, net.sigma_max) | ||
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dallasfoster
removed
the
5 - DO NOT MERGE
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Modulus Pull Request
Description
Update stochastic sampler
Checklist
Dependencies