Struct Tensor

Source

pub struct Tensor { /* private fields */ }

Implementations§

Source §

pub fn shape(&self) -> Option<Vec<isize>>

Return the optional symbolic tensor shape.

Source

pub fn data_type(&self) -> u32

Return the tensor’s MPSDataType raw value.

Source

pub fn operation(&self) -> Option<Operation>

Return the operation that produced this tensor.

Examples found in repository ?

examples/06_control_flow_call.rs (line 59)

16fn main() {
17    let device = MetalDevice::system_default().expect("no Metal device available");
18    let queue = device
19        .new_command_queue()
20        .expect("failed to create command queue");
21
22    let callee_graph = Graph::new().expect("callee graph");
23    let callee_input = callee_graph
24        .placeholder(Some(&[2]), data_type::FLOAT32, Some("callee_input"))
25        .expect("callee placeholder");
26    let callee_output = callee_graph
27        .addition(&callee_input, &callee_input, Some("callee_double"))
28        .expect("callee output");
29    let callee_executable = callee_graph
30        .compile(
31            &device,
32            &[FeedDescription::new(&callee_input, &[2], data_type::FLOAT32)],
33            &[&callee_output],
34        )
35        .expect("callee executable");
36
37    let graph = Graph::new().expect("graph");
38    let input = graph
39        .placeholder(Some(&[2]), data_type::FLOAT32, Some("input"))
40        .expect("input placeholder");
41    let predicate = graph
42        .placeholder(Some(&[]), data_type::BOOL, Some("predicate"))
43        .expect("predicate placeholder");
44    let bias = graph.constant_f32_slice(&[1.0, 1.0], &[2]).expect("bias constant");
45
46    let output_type = ShapedType::new(Some(&[2]), data_type::FLOAT32).expect("output type");
47    let call_results = graph
48        .call("double", &[&input], &[&output_type], Some("call"))
49        .expect("call op");
50    let if_results = graph
51        .if_then_else(
52            &predicate,
53            || vec![graph.addition(&input, &bias, None).expect("then add")],
54            || vec![graph.subtraction(&input, &bias, None).expect("else sub")],
55            Some("branch"),
56        )
57        .expect("if/then/else");
58
59    let call_operation = call_results[0].operation().expect("call operation");
60    let dependency = graph
61        .control_dependency(&[&call_operation], || {
62            vec![graph
63                .unary_arithmetic(UnaryArithmeticOp::Identity, &call_results[0], None)
64                .expect("identity")]
65        }, Some("dependency"))
66        .expect("control dependency");
67
68    let number_of_iterations = graph
69        .constant_scalar(4.0, data_type::INT32)
70        .expect("iteration count");
71    let zero = graph
72        .constant_scalar(0.0, data_type::INT32)
73        .expect("zero constant");
74    let one = graph.constant_scalar(1.0, data_type::INT32).expect("one constant");
75    let limit = graph
76        .constant_scalar(3.0, data_type::INT32)
77        .expect("limit constant");
78
79    let for_results = graph
80        .for_loop_iterations(&number_of_iterations, &[&zero], |_index, args| {
81            vec![graph.addition(&args[0], &one, None).expect("for-loop add")]
82        }, Some("for_loop"))
83        .expect("for loop");
84    let while_results = graph
85        .while_loop(
86            &[&zero],
87            |inputs| {
88                let condition = graph
89                    .binary_arithmetic(BinaryArithmeticOp::LessThan, &inputs[0], &limit, None)
90                    .expect("while predicate");
91                let passthrough = graph
92                    .unary_arithmetic(UnaryArithmeticOp::Identity, &inputs[0], None)
93                    .expect("while passthrough");
94                WhileBeforeResult {
95                    predicate: condition,
96                    results: vec![passthrough],
97                }
98            },
99            |inputs| vec![graph.addition(&inputs[0], &one, None).expect("while add")],
100            Some("while_loop"),
101        )
102        .expect("while loop");
103
104    let compile_descriptor = CompilationDescriptor::new().expect("compile descriptor");
105    compile_descriptor
106        .set_callable("double", Some(&callee_executable))
107        .expect("set callable");
108    let executable = graph
109        .compile_with_descriptor(
110            Some(&device),
111            &[
112                FeedDescription::new(&input, &[2], data_type::FLOAT32),
113                FeedDescription::new(&predicate, &[], data_type::BOOL),
114            ],
115            &[
116                &call_results[0],
117                &if_results[0],
118                &dependency[0],
119                &for_results[0],
120                &while_results[0],
121            ],
122            Some(&compile_descriptor),
123        )
124        .expect("compile executable");
125
126    let input_data = TensorData::from_f32_slice(&device, &[3.0, 4.0], &[2]).expect("input data");
127    let predicate_data = TensorData::from_bytes(&device, &[1_u8], &[], data_type::BOOL)
128        .expect("predicate data");
129    let results = executable
130        .run(&queue, &[&input_data, &predicate_data])
131        .expect("run executable");
132
133    println!("call output: {:?}", results[0].read_f32().expect("call output"));
134    println!("if output: {:?}", results[1].read_f32().expect("if output"));
135    println!("dependency output: {:?}", results[2].read_f32().expect("dependency output"));
136    println!("for output: {:?}", read_i32(&results[3]));
137    println!("while output: {:?}", read_i32(&results[4]));
138}