def decode_pt(tensor, mean, std):
    """Decode a normalized PyTorch tensor back to RGB range"""
    out = tensor.clone()  # Clone to avoid modifying original
    for t, m, s in zip(out, mean, std): t.mul_(s).add_(m)  # Denormalize
    out = out.mul(255).clamp(0, 255).byte() # Scale back to RGB
    return out

img_decoded = decode_pt(img_transformed, *imagenet_stats)
show_image(img_decoded);