[question] how to convert BufferBase to Vec

[chriamue]

Hi, I use the network defined in https://github.com/charles-r-earp/autograph/blob/main/examples/neural-network-mnist/src/main.rs The output of the model in inference as_raw_slice() is F32(BufferBase { device: Device(0), len: 14190, elem: "f32" }). Now I try to get a Vec<32> of it to interpret the results. Can you help me to understand how to get the data?

Here is a peace of code:

autograph=v0.1.1

let prediction = self
        .net
        .clone()
        .into_device(device)
        .await
        .unwrap()
        .infer(&x)
        .unwrap();
let prediction: FloatBuffer = prediction
        .as_raw_slice()
        .into_device(Device::host())
        .await
        .unwrap();
println!("{:?}", prediction);
// F32(BufferBase { device: Host, len: 14190, elem: "f32" })

Some examples show to "read" data back: let output = y.read().await?; But FloatBuffer does not have the read() function.