Support cuda in to_vec3.

This commit is contained in:
laurent
2023-06-22 12:22:51 +01:00
parent 0689d62548
commit f052020ba2

View File

@ -359,23 +359,24 @@ impl Tensor {
pub fn to_vec3<S: crate::WithDType>(&self) -> Result<Vec<Vec<Vec<S>>>> {
let (dim1, dim2, dim3) = self.shape().r3()?;
match &self.storage {
Storage::Cpu(cpu_storage) => {
let data = S::cpu_storage_as_slice(cpu_storage)?;
let mut top_rows = vec![];
let mut src_index = self.strided_index();
for _idx in 0..dim1 {
let mut rows = vec![];
for _jdx in 0..dim2 {
let row = (0..dim3).map(|_| data[src_index.next().unwrap()]).collect();
rows.push(row)
}
top_rows.push(rows);
let from_cpu_storage = |cpu_storage: &crate::CpuStorage| {
let data = S::cpu_storage_as_slice(cpu_storage)?;
let mut top_rows = vec![];
let mut src_index = self.strided_index();
for _idx in 0..dim1 {
let mut rows = vec![];
for _jdx in 0..dim2 {
let row = (0..dim3).map(|_| data[src_index.next().unwrap()]).collect();
rows.push(row)
}
assert!(src_index.next().is_none());
Ok(top_rows)
top_rows.push(rows);
}
Storage::Cuda { .. } => todo!(),
assert!(src_index.next().is_none());
Ok(top_rows)
};
match &self.storage {
Storage::Cpu(storage) => from_cpu_storage(storage),
Storage::Cuda(storage) => from_cpu_storage(&storage.to_cpu_storage()?),
}
}