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take a stab at fixing generate_grid_samples when real images have a greater image size than generated

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Phil Wang
2022-06-02 11:33:15 -07:00
parent 8cc278447e
commit 9025345e29
1 changed files with 9 additions and 0 deletions
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9
train_decoder.py
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@@ -4,6 +4,7 @@ from dalle2_pytorch.dataloaders import create_image_embedding_dataloader
from dalle2_pytorch.trackers import WandbTracker, ConsoleTracker from dalle2_pytorch.trackers import WandbTracker, ConsoleTracker
from dalle2_pytorch.train_configs import TrainDecoderConfig from dalle2_pytorch.train_configs import TrainDecoderConfig
from dalle2_pytorch.utils import Timer, print_ribbon from dalle2_pytorch.utils import Timer, print_ribbon
from dalle2_pytorch.dalle2_pytorch import resize_image_to
import torchvision import torchvision
import torch import torch
@@ -136,6 +137,14 @@ def generate_grid_samples(trainer, examples, text_prepend=""):
Generates samples and uses torchvision to put them in a side by side grid for easy viewing Generates samples and uses torchvision to put them in a side by side grid for easy viewing
""" """
real_images, generated_images, captions = generate_samples(trainer, examples, text_prepend) real_images, generated_images, captions = generate_samples(trainer, examples, text_prepend)
real_image_size = real_images[0].shape[-1]
generated_image_size = generated_images[0].shape[-1]
# training images may be larger than the generated one
if real_image_size > generated_image_size:
real_images = [resize_image_to(image, generated_image_size) for image in real_images]
grid_images = [torchvision.utils.make_grid([original_image, generated_image]) for original_image, generated_image in zip(real_images, generated_images)] grid_images = [torchvision.utils.make_grid([original_image, generated_image]) for original_image, generated_image in zip(real_images, generated_images)]
return grid_images, captions return grid_images, captions