Distributed transform

from PIL import Image
import litdata as ld

# use a local or S3 folder
input_dir = "my_large_images"     # or "s3://my-bucket/my_large_images"
output_dir = "my_resized_images"  # or "s3://my-bucket/my_resized_images"

inputs = [os.path.join(input_dir, f) for f in os.listdir(input_dir)]

# resize the input image
def resize_image(image_path, output_dir):
  output_image_path = os.path.join(output_dir, os.path.basename(image_path))
  Image.open(image_path).resize((224, 224)).save(output_image_path)

ld.map(
    fn=resize_image,
    inputs=inputs,
    output_dir="output_dir",
)

from litdata import map, Machine

map(
  ...
  num_nodes=32,
  machine=Machine.DATA_PREP, # Select between dozens of optimized machines
)