What would be the most efficient way to create libtorch (tch-rs) tensor from polars dataframe?
I can only make it working with as_slice->from_slice like
Tensor::from_slice(
series.f64()?
.to_vec()
.iter()
.map(|v| v.unwrap_or_default() as f32)
.collect::<Vec<f32>>().as_slice()
)
but there are to_arrow/chunks functions in the Series which seem to be giving access to raw memory and also from_blob in Tensor looking like it should be possible to instantiate it without iterating/collecting.