645c7c386e62d2fb1d50f4621c1a52645a13869f,fast_neural_style/neural_style/utils.py,,normalize_batch,#Any#,30

Before Change

    std[:, 1, :, :] = 0.224
    std[:, 2, :, :] = 0.225
    batch = torch.div(batch, 255.0)
    batch -= Variable(mean)
    batch = batch / Variable(std)
    return batch

After Change

def normalize_batch(batch):
    // normalize using imagenet mean and std
    mean = batch.new_tensor([0.485, 0.456, 0.406]).view(-1, 1, 1)
    std = batch.new_tensor([0.229, 0.224, 0.225]).view(-1, 1, 1)
    batch = batch.div_(255.0)
    return (batch - mean) / std

Instances