Expand description
§mpsgraph-rs
Safe Rust bindings for Apple’s
MetalPerformanceShadersGraph
framework on macOS.
The GitHub repository is mpsgraph-rs; the published crates.io package is
apple-mpsgraph because the short package name is already taken.
§Install
cargo add apple-mpsgraph apple-metal§Quick start
use apple_metal::MetalDevice;
use apple_mpsgraph::{data_type, Feed, Graph, TensorData};
let device = MetalDevice::system_default().expect("no Metal device");
let graph = Graph::new().expect("graph");
let input = graph
.placeholder(Some(&[2, 2]), data_type::FLOAT32, Some("input"))
.expect("input placeholder");
let bias = graph.constant_scalar(1.0, data_type::FLOAT32).expect("bias");
let added = graph.addition(&input, &bias, Some("add")).expect("add");
let output = graph.relu(&added, Some("relu")).expect("relu");
let data = TensorData::from_f32_slice(&device, &[1.0, -2.0, 3.0, -4.0], &[2, 2])
.expect("tensor data");
let results = graph
.run(&[Feed::new(&input, &data)], &[&output])
.expect("graph run");
let values = results[0].read_f32().expect("read result");
assert_eq!(values, vec![2.0, 0.0, 4.0, 0.0]);§v0.1 surface
Graph,Tensor, and orderedFeed/FeedDescriptionhelpersTensorDatafrom CPU bytes,f32slices, or existingMTLBuffers- Direct graph execution plus compiled
Executableruns onMTLCommandQueue - Core graph construction ops:
- placeholders and constants
- addition, subtraction, multiplication, division
- matrix multiplication
- reshape, transpose/permute, slice, broadcast
reLU,sigmoid,softMax- reduction sum / max / min and mean
- 2D convolution, max pooling, and normalization helpers
- Shared constants for
MPSDataType,MPSGraphTensorNamedDataLayout, andMPSGraphPaddingStyle
§Smoke examples
cargo run --example 01_add_relu
cargo run --example 02_compile_matmulRe-exports§
pub use crate::data::TensorData;pub use crate::error::Error;pub use crate::error::Result;pub use crate::graph::data_type;pub use crate::graph::data_type_size;pub use crate::graph::padding_style;pub use crate::graph::tensor_named_data_layout;pub use crate::graph::Convolution2DDescriptor;pub use crate::graph::Convolution2DDescriptorInfo;pub use crate::graph::Executable;pub use crate::graph::Feed;pub use crate::graph::FeedDescription;pub use crate::graph::Graph;pub use crate::graph::Pooling2DDescriptor;pub use crate::graph::Pooling2DDescriptorInfo;pub use crate::graph::Tensor;