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Merged
merged 4 commits into from
Nov 4, 2024
Merged

Refac training utils.py #9815

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5a93b95
Refac training utils.py
RogerSinghChugh Oct 30, 2024
6898bcd
Merge branch 'main' into refrac_training_utils
RogerSinghChugh Nov 1, 2024
8eb523d
quality
sayakpaul Nov 2, 2024
1e5d717
Merge branch 'main' into refrac_training_utils
RogerSinghChugh Nov 3, 2024
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14 changes: 14 additions & 0 deletions src/diffusers/training_utils.py
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Original file line number Diff line number Diff line change
Expand Up @@ -43,6 +43,9 @@ def set_seed(seed: int):

Args:
seed (`int`): The seed to set.

Returns:
`None`
"""
random.seed(seed)
np.random.seed(seed)
Expand All @@ -58,6 +61,17 @@ def compute_snr(noise_scheduler, timesteps):
"""
Computes SNR as per
https://github.com/TiankaiHang/Min-SNR-Diffusion-Training/blob/521b624bd70c67cee4bdf49225915f5945a872e3/guided_diffusion/gaussian_diffusion.py#L847-L849
for the given timesteps using the provided noise scheduler.

Args:
noise_scheduler (`NoiseScheduler`):
An object containing the noise schedule parameters, specifically `alphas_cumprod`, which is used to compute
the SNR values.
timesteps (`torch.Tensor`):
A tensor of timesteps for which the SNR is computed.

Returns:
`torch.Tensor`: A tensor containing the computed SNR values for each timestep.
"""
alphas_cumprod = noise_scheduler.alphas_cumprod
sqrt_alphas_cumprod = alphas_cumprod**0.5
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