Struct Feed

Source

pub struct Feed<'a> {
    pub tensor: &'a Tensor,
    pub data: &'a TensorData,
}

Expand description

Ordered placeholder feed pairing used for graph execution.

Fields§

§tensor: &'a Tensor§data: &'a TensorData

Implementations§

Source §

impl<'a> Feed<'a>

Source

pub const fn new(tensor: &'a Tensor, data: &'a TensorData) -> Self

Examples found in repository ?

examples/05_concat_split.rs (line 19)

4fn main() {
5    let device = MetalDevice::system_default().expect("no Metal device available");
6    let graph = Graph::new().expect("graph");
7    let input = graph
8        .placeholder(Some(&[2, 2]), data_type::FLOAT32, Some("input"))
9        .expect("placeholder");
10    let concat = graph
11        .concat_pair(&input, &input, 1, Some("concat"))
12        .expect("concat");
13    let split = graph.split_num(&concat, 2, 1, Some("split"));
14    let stacked = graph.stack(&[&split[0], &split[1]], 0, Some("stack")).expect("stack");
15
16    let input_data = TensorData::from_f32_slice(&device, &[1.0, 2.0, 3.0, 4.0], &[2, 2])
17        .expect("tensor data");
18    let results = graph
19        .run(&[Feed::new(&input, &input_data)], &[&stacked])
20        .expect("run");
21
22    println!("stacked tensor bytes: {}", results[0].byte_len().expect("byte len"));
23}

More examples

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examples/03_arithmetic_topk.rs (line 23)

6fn main() {
7    let device = MetalDevice::system_default().expect("no Metal device available");
8    let graph = Graph::new().expect("graph");
9    let input = graph
10        .placeholder(Some(&[2, 3]), data_type::FLOAT32, Some("input"))
11        .expect("placeholder");
12    let squared = graph
13        .unary_arithmetic(UnaryArithmeticOp::Square, &input, Some("square"))
14        .expect("square");
15    let row_sum = graph
16        .reduce_axes(ReductionAxesOp::Sum, &squared, &[1], Some("row_sum"))
17        .expect("reduce");
18    let topk = graph.top_k(&input, 2, Some("topk")).expect("topk");
19
20    let input_data = TensorData::from_f32_slice(&device, &[1.0, 3.0, 2.0, 4.0, 6.0, 5.0], &[2, 3])
21        .expect("tensor data");
22    let results = graph
23        .run(&[Feed::new(&input, &input_data)], &[&row_sum, &topk.0])
24        .expect("run");
25
26    println!("row sums: {:?}", results[0].read_f32().expect("row sums"));
27    println!("top-k values: {:?}", results[1].read_f32().expect("topk values"));
28}

examples/01_add_relu.rs (line 24)

4fn main() {
5    let device = MetalDevice::system_default().expect("no Metal device available");
6    let graph = Graph::new().expect("failed to create MPSGraph");
7
8    let input = graph
9        .placeholder(Some(&[2, 2]), data_type::FLOAT32, Some("input"))
10        .expect("failed to create placeholder");
11    let bias = graph
12        .constant_scalar(1.0, data_type::FLOAT32)
13        .expect("failed to create scalar constant");
14    let added = graph
15        .addition(&input, &bias, Some("add"))
16        .expect("failed to create addition op");
17    let output = graph
18        .relu(&added, Some("relu"))
19        .expect("failed to create relu op");
20
21    let input_data = TensorData::from_f32_slice(&device, &[1.0, -2.0, 3.0, -4.0], &[2, 2])
22        .expect("failed to create tensor data");
23    let results = graph
24        .run(&[Feed::new(&input, &input_data)], &[&output])
25        .expect("failed to execute graph");
26    let values = results[0].read_f32().expect("failed to read tensor output");
27
28    assert_eq!(values, vec![2.0, 0.0, 4.0, 0.0]);
29    println!("add+relu smoke passed: {values:?}");
30}