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fix torchvision import #6796

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yiyixuxu merged 1 commit into from
Jan 31, 2024
Merged

fix torchvision import #6796

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10 changes: 9 additions & 1 deletion src/diffusers/training_utils.py
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Original file line number Diff line number Diff line change
Expand Up @@ -5,7 +5,7 @@

import numpy as np
import torch
from torchvision import transforms
from transformers import is_torchvision_available
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@yiyixuxu yiyixuxu Jan 31, 2024

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should add this function to diffusers cc @sayakpaul


from .models import UNet2DConditionModel
from .utils import (
Expand All @@ -23,6 +23,9 @@
if is_peft_available():
from peft import set_peft_model_state_dict

if is_torchvision_available():
from torchvision import transforms


def set_seed(seed: int):
"""
Expand Down Expand Up @@ -79,6 +82,11 @@ def resolve_interpolation_mode(interpolation_type: str):
`torchvision.transforms.InterpolationMode`: an `InterpolationMode` enum used by torchvision's `resize`
transform.
"""
if not is_torchvision_available():
raise ImportError(
"Please make sure to install `torchvision` to be able to use the `resolve_interpolation_mode()` function."
)

if interpolation_type == "bilinear":
interpolation_mode = transforms.InterpolationMode.BILINEAR
elif interpolation_type == "bicubic":
Expand Down