[](https://www.fast.ai/posts/2025-02-20-fasttransform.html#cb6-1)def decode_pt(tensor, mean, std):
[](https://www.fast.ai/posts/2025-02-20-fasttransform.html#cb6-2)    """Decode a normalized PyTorch tensor back to RGB range"""
[](https://www.fast.ai/posts/2025-02-20-fasttransform.html#cb6-3)    out = tensor.clone()  # Clone to avoid modifying original
[](https://www.fast.ai/posts/2025-02-20-fasttransform.html#cb6-4)    for t, m, s in zip(out, mean, std): t.mul_(s).add_(m)  # Denormalize
[](https://www.fast.ai/posts/2025-02-20-fasttransform.html#cb6-5)    out = out.mul(255).clamp(0, 255).byte() # Scale back to RGB
[](https://www.fast.ai/posts/2025-02-20-fasttransform.html#cb6-6)    return out
[](https://www.fast.ai/posts/2025-02-20-fasttransform.html#cb6-7)
[](https://www.fast.ai/posts/2025-02-20-fasttransform.html#cb6-8)img_decoded = decode_pt(img_transformed, *imagenet_stats)
[](https://www.fast.ai/posts/2025-02-20-fasttransform.html#cb6-9)show_image(img_decoded);