Skip to content

fix: avoid int32 overflow in random seed generation #253

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Open
rodriguescarson wants to merge 1 commit into
base: main
Choose a base branch
from
Open

fix: avoid int32 overflow in random seed generation #253

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
4 changes: 2 additions & 2 deletions stable_audio_tools/inference/generation.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -195,7 +195,7 @@ def generate_diffusion_cond(

# Seed
# The user can explicitly set the seed to deterministically generate the same output. Otherwise, use a random seed.
seed = seed if seed != -1 else np.random.randint(0, 2**32 - 1)
seed = seed if seed != -1 else np.random.randint(0, 2**32 - 1, dtype=np.uint32)
torch.manual_seed(seed)
# Define the initial noise immediately after setting the seed
noise = torch.randn([batch_size, model.io_channels, latent_sample_size], device=device)
Expand Down Expand Up @@ -465,7 +465,7 @@ def generate_diffusion_cond_inpaint(

# Seed
# The user can explicitly set the seed to deterministically generate the same output. Otherwise, use a random seed.
seed = seed if seed != -1 else np.random.randint(0, 2**32 - 1)
seed = seed if seed != -1 else np.random.randint(0, 2**32 - 1, dtype=np.uint32)
torch.manual_seed(seed)
# Define the initial noise immediately after setting the seed
noise = torch.randn([batch_size, model.io_channels, sample_size], device=device)
Expand Down