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Revert "Use array slicing to calc ddim timesteps"

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This reverts commit 1f0c5b4cf1.
This commit is contained in:
Lincoln Stein 2022-11-07 09:07:20 -05:00
parent ff8ff2212a
commit 8004f8a6d9
1 changed files with 3 additions and 4 deletions
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7
ldm/modules/diffusionmodules/util.py
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@ -65,10 +65,8 @@ def make_ddim_timesteps(
if ddim_discr_method == 'uniform': if ddim_discr_method == 'uniform':
c = num_ddpm_timesteps // num_ddim_timesteps c = num_ddpm_timesteps // num_ddim_timesteps
if c < 1: if c < 1:
c = 1 c = 1
ddim_timesteps = (np.arange(0, num_ddim_timesteps) * c).astype(int)
# remove 1 final step to prevent index out of bound error
ddim_timesteps = np.asarray(list(range(0, num_ddpm_timesteps, c)))[:-1]
elif ddim_discr_method == 'quad': elif ddim_discr_method == 'quad':
ddim_timesteps = ( ddim_timesteps = (
( (
@ -86,6 +84,7 @@ def make_ddim_timesteps(
# assert ddim_timesteps.shape[0] == num_ddim_timesteps # assert ddim_timesteps.shape[0] == num_ddim_timesteps
# add one to get the final alpha values right (the ones from first scale to data during sampling) # add one to get the final alpha values right (the ones from first scale to data during sampling)
steps_out = ddim_timesteps + 1 steps_out = ddim_timesteps + 1
# steps_out = ddim_timesteps
if verbose: if verbose:
print(f'Selected timesteps for ddim sampler: {steps_out}') print(f'Selected timesteps for ddim sampler: {steps_out}')