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Fix k_dpm_2 & k_dpm_2_a on MPS #2241

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Merged
pcuenca merged 1 commit into from
Feb 5, 2023
Merged

Fix k_dpm_2 & k_dpm_2_a on MPS #2241

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14 changes: 7 additions & 7 deletions src/diffusers/schedulers/scheduling_k_dpm_2_ancestral_discrete.py
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Original file line number Diff line number Diff line change
Expand Up @@ -161,16 +161,16 @@ def set_timesteps(
# standard deviation of the initial noise distribution
self.init_noise_sigma = self.sigmas.max()

timesteps = torch.from_numpy(timesteps).to(device)
timesteps_interpol = self.sigma_to_t(sigmas_interpol).to(device)
interleaved_timesteps = torch.stack((timesteps_interpol[:-2, None], timesteps[1:, None]), dim=-1).flatten()
timesteps = torch.cat([timesteps[:1], interleaved_timesteps])

if str(device).startswith("mps"):
# mps does not support float64
self.timesteps = timesteps.to(device, dtype=torch.float32)
timesteps = torch.from_numpy(timesteps).to(device, dtype=torch.float32)
else:
self.timesteps = timesteps
timesteps = torch.from_numpy(timesteps).to(device)

timesteps_interpol = self.sigma_to_t(sigmas_interpol).to(device)
interleaved_timesteps = torch.stack((timesteps_interpol[:-2, None], timesteps[1:, None]), dim=-1).flatten()

self.timesteps = torch.cat([timesteps[:1], interleaved_timesteps])

self.sample = None

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13 changes: 6 additions & 7 deletions src/diffusers/schedulers/scheduling_k_dpm_2_discrete.py
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Original file line number Diff line number Diff line change
Expand Up @@ -149,18 +149,17 @@ def set_timesteps(
# standard deviation of the initial noise distribution
self.init_noise_sigma = self.sigmas.max()

timesteps = torch.from_numpy(timesteps).to(device)
if str(device).startswith("mps"):
# mps does not support float64
timesteps = torch.from_numpy(timesteps).to(device, dtype=torch.float32)
else:
timesteps = torch.from_numpy(timesteps).to(device)

# interpolate timesteps
timesteps_interpol = self.sigma_to_t(sigmas_interpol).to(device)
interleaved_timesteps = torch.stack((timesteps_interpol[1:-1, None], timesteps[1:, None]), dim=-1).flatten()
timesteps = torch.cat([timesteps[:1], interleaved_timesteps])

if str(device).startswith("mps"):
# mps does not support float64
self.timesteps = timesteps.to(torch.float32)
else:
self.timesteps = timesteps
self.timesteps = torch.cat([timesteps[:1], interleaved_timesteps])

self.sample = None

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