Model cannot backward on GPU but can backward on CPU

🧨 Diffusers
1

I am trying to use the encoder part of VAE, but it cannot backward() on GPU. Surprisingly, it works on the CPU, and here is my code and message.

a40e25a7365bc804e926b2a2a44e5b0
a40e25a7365bc804e926b2a2a44e5b01387×950 77.7 KB

def vae():
    '''
    image tensor with dim of (1,3,h,w)
    '''
    # url = "/mnt/traffic/home/dongziping/WatermarkAttack/weights/vae-ft-mse-840000-ema-pruned.safetensors"  # can also be a local file
    model = AutoencoderKL.from_pretrained("/mnt/traffic/home/dongziping/sdxl-vae")
    return model.encoder

if __name__ == "__main__":
    import torch
    device = torch.device("cuda")
    model = vae().to(device)
    model.eval()
    image = torch.randn((1,3,28,28)).to(device)
    latent = model(image)
    loss = torch.sum(latent)
    loss.backward()
    print("loss:",loss)
2

did you solve it, i miss the same problem, pls