1use crate::memory::DeviceResolvedMemSchema;
2use crate::tensor::DeviceArenaView;
3use crate::tensor::DeviceTensor;
4use crate::tensor::IntoDevice;
5use crate::tensor::OwnedDeviceTensor;
6
7use std::cell::RefCell;
8use std::collections::HashSet;
9use tract_core::internal::*;
10
11#[derive(Debug)]
12pub struct DeviceMemoryPool {
13 storage: Arc<OwnedDeviceTensor>,
14 resolved_schema: DeviceResolvedMemSchema,
15 node_seen: RefCell<HashSet<usize>>,
16}
17
18impl DeviceMemoryPool {
19 pub fn from_schema(resolved_schema: DeviceResolvedMemSchema) -> TractResult<Self> {
20 let tensor = unsafe {
21 Tensor::uninitialized_dt(DatumType::U8, &[resolved_schema.memory_size]).with_context(
22 || {
23 format!(
24 "Error while allocating a tensor of {:?} bytes",
25 resolved_schema.memory_size
26 )
27 },
28 )?
29 };
30 let storage = Arc::new(OwnedDeviceTensor::from_tensor(tensor)?);
31
32 Ok(Self { storage, resolved_schema, node_seen: RefCell::new(HashSet::new()) })
33 }
34
35 pub fn tensor_for_node(
36 &self,
37 node_id: usize,
38 dt: DatumType,
39 shape: &[usize],
40 ) -> TractResult<DeviceTensor> {
41 ensure!(!self.node_seen.borrow().contains(&node_id), "Tensor for node {:?} was already requested. Maybe the memory pool was not reset properly.", node_id);
42 self.resolved_schema.offsets_by_node[node_id]
43 .map(|offset| {
44 Ok(DeviceArenaView {
46 arena: Arc::clone(&self.storage),
47 dt,
48 len: shape.iter().product(),
49 shape: shape.into(),
50 strides: Tensor::natural_strides(shape),
51 offset_bytes: offset,
52 }
53 .into())
54 })
55 .unwrap_or_else(|| unsafe { Tensor::uninitialized_dt(dt, shape)?.into_device() })
56 }
57
58 pub fn reset(&self) {
59 self.node_seen.borrow_mut().clear();
60 }
61}