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Fix set_timesteps: torch.flip instead of tensor [::-1] #16

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Merged
alex-16moro merged 1 commit into from
Sep 20, 2026
Merged

Fix set_timesteps: torch.flip instead of tensor [::-1] #16

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3 changes: 2 additions & 1 deletion examples/scaffolded_scheduler/scheduling_ddpm_lite.py
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Original file line number Diff line number Diff line change
Expand Up @@ -46,7 +46,8 @@ def set_timesteps(self, num_inference_steps: int, device: Union[str, torch.devic
"""
self.num_inference_steps = num_inference_steps
step = self.config.num_train_timesteps // num_inference_steps
timesteps = (torch.arange(0, num_inference_steps) * step).round()[::-1].clone()
timesteps = (torch.arange(0, num_inference_steps) * step).round().long()
timesteps = torch.flip(timesteps, dims=[0]) # torch has no [::-1]
self.timesteps = timesteps.to(device) if device is not None else timesteps

def step(
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3 changes: 2 additions & 1 deletion src/diffusers/schedulers/scheduling_euler_lite.py
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Expand Up @@ -40,7 +40,8 @@ def set_timesteps(self, num_inference_steps: int, device: Union[str, torch.devic
"""
self.num_inference_steps = num_inference_steps
step = self.config.num_train_timesteps // num_inference_steps
timesteps = (torch.arange(0, num_inference_steps) * step).round()[::-1].clone()
timesteps = (torch.arange(0, num_inference_steps) * step).round().long()
timesteps = torch.flip(timesteps, dims=[0]) # torch has no [::-1]
self.timesteps = timesteps.to(device) if device is not None else timesteps

def step(
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3 changes: 2 additions & 1 deletion templates/scheduler/scheduling_TEMPLATE.py
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Expand Up @@ -36,7 +36,8 @@ def set_timesteps(self, num_inference_steps: int, device: Union[str, torch.devic
"""
self.num_inference_steps = num_inference_steps
step = self.config.num_train_timesteps // num_inference_steps
timesteps = (torch.arange(0, num_inference_steps) * step).round()[::-1].clone()
timesteps = (torch.arange(0, num_inference_steps) * step).round().long()
timesteps = torch.flip(timesteps, dims=[0]) # torch has no [::-1]
self.timesteps = timesteps.to(device) if device is not None else timesteps

def step(
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1 change: 1 addition & 0 deletions tests/schedulers/test_scheduling_euler_lite.py
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Expand Up @@ -103,6 +103,7 @@ def test_output_type(self):
out = s.step(torch.ones_like(sample), 1, sample, generator=torch.Generator().manual_seed(0))
self.assertTrue(hasattr(out, "prev_sample"))
self.assertEqual(out.prev_sample.shape, sample.shape)
self.assertEqual(out.prev_sample.dtype, sample.dtype)

def test_same_seed_same_output(self):
import torch
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