Rust functions - Methods, Closures, Capturing

CK CK 3788 
Created at
Updated at  
1,209 0 0

Rust Functions are declared using the fn keyword. Its arguments are type annotated, just like variables, and, if the function returns a value, the return type must be specified after an arrow ->.

The final expression in the function will be used as return value. Alternatively, the return statement can be used to return a value earlier from within the function, even from inside loops or if statements.

Let's rewrite FizzBuzz using functions!

// Unlike C/C++, there's no restriction on the order of function definitions
fn main() {
    // We can use this function here, and define it somewhere later
    fizzbuzz_to(100);
}

// Function that returns a boolean value
fn is_divisible_by(lhs: u32, rhs: u32) -> bool {
    // Corner case, early return
    if rhs == 0 {
        return false;
    }

    // This is an expression, the `return` keyword is not necessary here
    lhs % rhs == 0
}

// Functions that "don't" return a value, actually return the unit type `()`
fn fizzbuzz(n: u32) -> () {
    if is_divisible_by(n, 15) {
        println!("fizzbuzz");
    } else if is_divisible_by(n, 3) {
        println!("fizz");
    } else if is_divisible_by(n, 5) {
        println!("buzz");
    } else {
        println!("{}", n);
    }
}

// When a function returns `()`, the return type can be omitted from the
// signature
fn fizzbuzz_to(n: u32) {
    for n in 1..=n {
        fizzbuzz(n);
    }
}

 

Associated functions & Methods

Some functions are connected to a particular type. These come in two forms: associated functions, and methods. Associated functions are functions that are defined on a type generally, while methods are associated functions that are called on a particular instance of a type.

struct Point {
    x: f64,
    y: f64,
}

// Implementation block, all `Point` associated functions & methods go in here
impl Point {
    // This is an "associated function" because this function is associated with
    // a particular type, that is, Point.
    //
    // Associated functions don't need to be called with an instance.
    // These functions are generally used like constructors.
    fn origin() -> Point {
        Point { x: 0.0, y: 0.0 }
    }

    // Another associated function, taking two arguments:
    fn new(x: f64, y: f64) -> Point {
        Point { x: x, y: y }
    }
}

struct Rectangle {
    p1: Point,
    p2: Point,
}

impl Rectangle {
    // This is a method
    // `&self` is sugar for `self: &Self`, where `Self` is the type of the
    // caller object. In this case `Self` = `Rectangle`
    fn area(&self) -> f64 {
        // `self` gives access to the struct fields via the dot operator
        let Point { x: x1, y: y1 } = self.p1;
        let Point { x: x2, y: y2 } = self.p2;

        // `abs` is a `f64` method that returns the absolute value of the
        // caller
        ((x1 - x2) * (y1 - y2)).abs()
    }

    fn perimeter(&self) -> f64 {
        let Point { x: x1, y: y1 } = self.p1;
        let Point { x: x2, y: y2 } = self.p2;

        2.0 * ((x1 - x2).abs() + (y1 - y2).abs())
    }

    // This method requires the caller object to be mutable
    // `&mut self` desugars to `self: &mut Self`
    fn translate(&mut self, x: f64, y: f64) {
        self.p1.x += x;
        self.p2.x += x;

        self.p1.y += y;
        self.p2.y += y;
    }
}

// `Pair` owns resources: two heap allocated integers
struct Pair(Box<i32>, Box<i32>);

impl Pair {
    // This method "consumes" the resources of the caller object
    // `self` desugars to `self: Self`
    fn destroy(self) {
        // Destructure `self`
        let Pair(first, second) = self;

        println!("Destroying Pair({}, {})", first, second);

        // `first` and `second` go out of scope and get freed
    }
}

fn main() {
    let rectangle = Rectangle {
        // Associated functions are called using double colons
        p1: Point::origin(),
        p2: Point::new(3.0, 4.0),
    };

    // Methods are called using the dot operator
    // Note that the first argument `&self` is implicitly passed, i.e.
    // `rectangle.perimeter()` === `Rectangle::perimeter(&rectangle)`
    println!("Rectangle perimeter: {}", rectangle.perimeter());
    println!("Rectangle area: {}", rectangle.area());

    let mut square = Rectangle {
        p1: Point::origin(),
        p2: Point::new(1.0, 1.0),
    };

    // Error! `rectangle` is immutable, but this method requires a mutable
    // object
    //rectangle.translate(1.0, 0.0);
    // TODO ^ Try uncommenting this line

    // Okay! Mutable objects can call mutable methods
    square.translate(1.0, 1.0);

    let pair = Pair(Box::new(1), Box::new(2));

    pair.destroy();

    // Error! Previous `destroy` call "consumed" `pair`
    //pair.destroy();
    // TODO ^ Try uncommenting this line
}


Closures

Closures are functions that can capture the enclosing environment. For example, a closure that captures the x variable:

|val| val + x

The syntax and capabilities of closures make them very convenient for on the fly usage. Calling a closure is exactly like calling a function. However, both input and return types can be inferred and input variable names must be specified.

Other characteristics of closures include:

  • using || instead of () around input variables.
  • optional body delimitation ({}) for a single line expression (mandatory otherwise).
  • the ability to capture the outer environment variables.
fn main() {
    let outer_var = 42;
    
    // A regular function can't refer to variables in the enclosing environment
    //fn function(i: i32) -> i32 { i + outer_var }
    // TODO: uncomment the line above and see the compiler error. The compiler
    // suggests that we define a closure instead.

    // Closures are anonymous, here we are binding them to references.
    // Annotation is identical to function annotation but is optional
    // as are the `{}` wrapping the body. These nameless functions
    // are assigned to appropriately named variables.
    let closure_annotated = |i: i32| -> i32 { i + outer_var };
    let closure_inferred  = |i     |          i + outer_var  ;

    // Call the closures.
    println!("closure_annotated: {}", closure_annotated(1));
    println!("closure_inferred: {}", closure_inferred(1));
    // Once closure's type has been inferred, it cannot be inferred again with another type.
    //println!("cannot reuse closure_inferred with another type: {}", closure_inferred(42i64));
    // TODO: uncomment the line above and see the compiler error.

    // A closure taking no arguments which returns an `i32`.
    // The return type is inferred.
    let one = || 1;
    println!("closure returning one: {}", one());

}

 

Capturing

Closures are inherently flexible and will do what the functionality requires to make the closure work without annotation. This allows capturing to flexibly adapt to the use case, sometimes moving and sometimes borrowing. Closures can capture variables:

  • by reference: &T
  • by mutable reference: &mut T
  • by value: T

They preferentially capture variables by reference and only go lower when required.

fn main() {
    use std::mem;
    
    let color = String::from("green");

    // A closure to print `color` which immediately borrows (`&`) `color` and
    // stores the borrow and closure in the `print` variable. It will remain
    // borrowed until `print` is used the last time. 
    //
    // `println!` only requires arguments by immutable reference so it doesn't
    // impose anything more restrictive.
    let print = || println!("`color`: {}", color);

    // Call the closure using the borrow.
    print();

    // `color` can be borrowed immutably again, because the closure only holds
    // an immutable reference to `color`. 
    let _reborrow = &color;
    print();

    // A move or reborrow is allowed after the final use of `print`
    let _color_moved = color;


    let mut count = 0;
    // A closure to increment `count` could take either `&mut count` or `count`
    // but `&mut count` is less restrictive so it takes that. Immediately
    // borrows `count`.
    //
    // A `mut` is required on `inc` because a `&mut` is stored inside. Thus,
    // calling the closure mutates `count` which requires a `mut`.
    let mut inc = || {
        count += 1;
        println!("`count`: {}", count);
    };

    // Call the closure using a mutable borrow.
    inc();

    // The closure still mutably borrows `count` because it is called later.
    // An attempt to reborrow will lead to an error.
    // let _reborrow = &count; 
    // ^ TODO: try uncommenting this line.
    inc();

    // The closure no longer needs to borrow `&mut count`. Therefore, it is
    // possible to reborrow without an error
    let _count_reborrowed = &mut count; 

    
    // A non-copy type.
    let movable = Box::new(3);

    // `mem::drop` requires `T` so this must take by value. A copy type
    // would copy into the closure leaving the original untouched.
    // A non-copy must move and so `movable` immediately moves into
    // the closure.
    let consume = || {
        println!("`movable`: {:?}", movable);
        mem::drop(movable);
    };

    // `consume` consumes the variable so this can only be called once.
    consume();
    // consume();
    // ^ TODO: Try uncommenting this line.
}

 

As input parameters

While Rust chooses how to capture variables on the fly mostly without type annotation, this ambiguity is not allowed when writing functions. When taking a closure as an input parameter, the closure's complete type must be annotated using one of a few traits, and they're determined by what the closure does with captured value. In order of decreasing restriction, they are:

  • Fn: the closure uses the captured value by reference (&T)
  • FnMut: the closure uses the captured value by mutable reference (&mut T)
  • FnOnce: the closure uses the captured value by value (T)

On a variable-by-variable basis, the compiler will capture variables in the least restrictive manner possible.

For instance, consider a parameter annotated as FnOnce. This specifies that the closure may capture by &T, &mut T, or T, but the compiler will ultimately choose based on how the captured variables are used in the closure.

This is because if a move is possible, then any type of borrow should also be possible. Note that the reverse is not true. If the parameter is annotated as Fn, then capturing variables by &mut T or T are not allowed. However, &T is allowed.

In the following example, try swapping the usage of Fn, FnMut, and FnOnce to see what happens:

// A function which takes a closure as an argument and calls it.
// <F> denotes that F is a "Generic type parameter"
fn apply<F>(f: F) where
    // The closure takes no input and returns nothing.
    F: FnOnce() {
    // ^ TODO: Try changing this to `Fn` or `FnMut`.

    f();
}

// A function which takes a closure and returns an `i32`.
fn apply_to_3<F>(f: F) -> i32 where
    // The closure takes an `i32` and returns an `i32`.
    F: Fn(i32) -> i32 {

    f(3)
}

fn main() {
    use std::mem;

    let greeting = "hello";
    // A non-copy type.
    // `to_owned` creates owned data from borrowed one
    let mut farewell = "goodbye".to_owned();

    // Capture 2 variables: `greeting` by reference and
    // `farewell` by value.
    let diary = || {
        // `greeting` is by reference: requires `Fn`.
        println!("I said {}.", greeting);

        // Mutation forces `farewell` to be captured by
        // mutable reference. Now requires `FnMut`.
        farewell.push_str("!!!");
        println!("Then I screamed {}.", farewell);
        println!("Now I can sleep. zzzzz");

        // Manually calling drop forces `farewell` to
        // be captured by value. Now requires `FnOnce`.
        mem::drop(farewell);
    };

    // Call the function which applies the closure.
    apply(diary);

    // `double` satisfies `apply_to_3`'s trait bound
    let double = |x| 2 * x;

    println!("3 doubled: {}", apply_to_3(double));
}

 

Type anonymity

Closures succinctly capture variables from enclosing scopes. Does this have any consequences? It surely does. Observe how using a closure as a function parameter requires generics, which is necessary because of how they are defined:

 

// `F` must be generic.
fn apply<F>(f: F) where
    F: FnOnce() {
    f();
}

When a closure is defined, the compiler implicitly creates a new anonymous structure to store the captured variables inside, meanwhile implementing the functionality via one of the traits: Fn, FnMut, or FnOnce for this unknown type. This type is assigned to the variable which is stored until calling.

Since this new type is of unknown type, any usage in a function will require generics. However, an unbounded type parameter <T> would still be ambiguous and not be allowed. Thus, bounding by one of the traits: Fn, FnMut, or FnOnce (which it implements) is sufficient to specify its type.

// `F` must implement `Fn` for a closure which takes no
// inputs and returns nothing - exactly what is required
// for `print`.
fn apply<F>(f: F) where
    F: Fn() {
    f();
}

fn main() {
    let x = 7;

    // Capture `x` into an anonymous type and implement
    // `Fn` for it. Store it in `print`.
    let print = || println!("{}", x);

    apply(print);
}

 

Input functions

Since closures may be used as arguments, you might wonder if the same can be said about functions. And indeed they can! If you declare a function that takes a closure as parameter, then any function that satisfies the trait bound of that closure can be passed as a parameter.

// Define a function which takes a generic `F` argument
// bounded by `Fn`, and calls it
fn call_me<F: Fn()>(f: F) {
    f();
}

// Define a wrapper function satisfying the `Fn` bound
fn function() {
    println!("I'm a function!");
}

fn main() {
    // Define a closure satisfying the `Fn` bound
    let closure = || println!("I'm a closure!");

    call_me(closure);
    call_me(function);
}

As an additional note, the Fn, FnMut, and FnOnce traits dictate how a closure captures variables from the enclosing scope.

 

As output parameters

Closures as input parameters are possible, so returning closures as output parameters should also be possible. However, anonymous closure types are, by definition, unknown, so we have to use impl Trait to return them.

The valid traits for returning a closure are:

  • Fn
  • FnMut
  • FnOnce

Beyond this, the move keyword must be used, which signals that all captures occur by value. This is required because any captures by reference would be dropped as soon as the function exited, leaving invalid references in the closure.

fn create_fn() -> impl Fn() {
    let text = "Fn".to_owned();

    move || println!("This is a: {}", text)
}

fn create_fnmut() -> impl FnMut() {
    let text = "FnMut".to_owned();

    move || println!("This is a: {}", text)
}

fn create_fnonce() -> impl FnOnce() {
    let text = "FnOnce".to_owned();

    move || println!("This is a: {}", text)
}

fn main() {
    let fn_plain = create_fn();
    let mut fn_mut = create_fnmut();
    let fn_once = create_fnonce();

    fn_plain();
    fn_mut();
    fn_once();
}

 

Examples in std

This section contains a few examples of using closures from the std library.

 

Iterator::any

Iterator::any is a function which when passed an iterator, will return true if any element satisfies the predicate. Otherwise false. Its signature:

pub trait Iterator {
    // The type being iterated over.
    type Item;

    // `any` takes `&mut self` meaning the caller may be borrowed
    // and modified, but not consumed.
    fn any<F>(&mut self, f: F) -> bool where
        // `FnMut` meaning any captured variable may at most be
        // modified, not consumed. `Self::Item` states it takes
        // arguments to the closure by value.
        F: FnMut(Self::Item) -> bool;
}
fn main() {
    let vec1 = vec![1, 2, 3];
    let vec2 = vec![4, 5, 6];

    // `iter()` for vecs yields `&i32`. Destructure to `i32`.
    println!("2 in vec1: {}", vec1.iter()     .any(|&x| x == 2));
    // `into_iter()` for vecs yields `i32`. No destructuring required.
    println!("2 in vec2: {}", vec2.into_iter().any(|x| x == 2));

    // `iter()` only borrows `vec1` and its elements, so they can be used again
    println!("vec1 len: {}", vec1.len());
    println!("First element of vec1 is: {}", vec1[0]);
    // `into_iter()` does move `vec2` and its elements, so they cannot be used again
    // println!("First element of vec2 is: {}", vec2[0]);
    // println!("vec2 len: {}", vec2.len());
    // TODO: uncomment two lines above and see compiler errors.

    let array1 = [1, 2, 3];
    let array2 = [4, 5, 6];

    // `iter()` for arrays yields `&i32`.
    println!("2 in array1: {}", array1.iter()     .any(|&x| x == 2));
    // `into_iter()` for arrays yields `i32`.
    println!("2 in array2: {}", array2.into_iter().any(|x| x == 2));
}

 

Searching through iterators

Iterator::find is a function which iterates over an iterator and searches for the first value which satisfies some condition. If none of the values satisfy the condition, it returns None. Its signature:

pub trait Iterator {
    // The type being iterated over.
    type Item;

    // `find` takes `&mut self` meaning the caller may be borrowed
    // and modified, but not consumed.
    fn find<P>(&mut self, predicate: P) -> Option<Self::Item> where
        // `FnMut` meaning any captured variable may at most be
        // modified, not consumed. `&Self::Item` states it takes
        // arguments to the closure by reference.
        P: FnMut(&Self::Item) -> bool;
}
fn main() {
    let vec1 = vec![1, 2, 3];
    let vec2 = vec![4, 5, 6];

    // `iter()` for vecs yields `&i32`.
    let mut iter = vec1.iter();
    // `into_iter()` for vecs yields `i32`.
    let mut into_iter = vec2.into_iter();

    // `iter()` for vecs yields `&i32`, and we want to reference one of its
    // items, so we have to destructure `&&i32` to `i32`
    println!("Find 2 in vec1: {:?}", iter     .find(|&&x| x == 2));
    // `into_iter()` for vecs yields `i32`, and we want to reference one of
    // its items, so we have to destructure `&i32` to `i32`
    println!("Find 2 in vec2: {:?}", into_iter.find(| &x| x == 2));

    let array1 = [1, 2, 3];
    let array2 = [4, 5, 6];

    // `iter()` for arrays yields `&&i32`
    println!("Find 2 in array1: {:?}", array1.iter()     .find(|&&x| x == 2));
    // `into_iter()` for arrays yields `&i32`
    println!("Find 2 in array2: {:?}", array2.into_iter().find(|&x| x == 2));
}

Iterator::find gives you a reference to the item. But if you want the index of the item, use Iterator::position.

fn main() {
    let vec = vec![1, 9, 3, 3, 13, 2];

    // `iter()` for vecs yields `&i32` and `position()` does not take a reference, so
    // we have to destructure `&i32` to `i32`
    let index_of_first_even_number = vec.iter().position(|&x| x % 2 == 0);
    assert_eq!(index_of_first_even_number, Some(5));
    
    // `into_iter()` for vecs yields `i32` and `position()` does not take a reference, so
    // we do not have to destructure    
    let index_of_first_negative_number = vec.into_iter().position(|x| x < 0);
    assert_eq!(index_of_first_negative_number, None);
}

 

 

Higher Order Functions

Rust provides Higher Order Functions (HOF). These are functions that take one or more functions and/or produce a more useful function. HOFs and lazy iterators give Rust its functional flavor.

fn is_odd(n: u32) -> bool {
    n % 2 == 1
}

fn main() {
    println!("Find the sum of all the numbers with odd squares under 1000");
    let upper = 1000;

    // Imperative approach
    // Declare accumulator variable
    let mut acc = 0;
    // Iterate: 0, 1, 2, ... to infinity
    for n in 0.. {
        // Square the number
        let n_squared = n * n;

        if n_squared >= upper {
            // Break loop if exceeded the upper limit
            break;
        } else if is_odd(n_squared) {
            // Accumulate value, if it's odd
            acc += n_squared;
        }
    }
    println!("imperative style: {}", acc);

    // Functional approach
    let sum_of_squared_odd_numbers: u32 =
        (0..).map(|n| n * n)                             // All natural numbers squared
             .take_while(|&n_squared| n_squared < upper) // Below upper limit
             .filter(|&n_squared| is_odd(n_squared))     // That are odd
             .sum();                                     // Sum them
    println!("functional style: {}", sum_of_squared_odd_numbers);
}

Option and Iterator implement their fair share of HOFs.

 

Diverging functions

Diverging functions never return. They are marked using !, which is an empty type.

 

fn foo() -> ! {
    panic!("This call never returns.");
}

As opposed to all the other types, this one cannot be instantiated, because the set of all possible values this type can have is empty. Note that, it is different from the () type, which has exactly one possible value.

For example, this function returns as usual, although there is no information in the return value.

 

fn some_fn() {
    ()
}

fn main() {
    let _a: () = some_fn();
    println!("This function returns and you can see this line.");
}

As opposed to this function, which will never return the control back to the caller.

 

#![feature(never_type)]

fn main() {
    let x: ! = panic!("This call never returns.");
    println!("You will never see this line!");
}

Although this might seem like an abstract concept, it is actually very useful and often handy. The main advantage of this type is that it can be cast to any other type, making it versatile in situations where an exact type is required, such as in match branches. This flexibility allows us to write code like this:

 

fn main() {
    fn sum_odd_numbers(up_to: u32) -> u32 {
        let mut acc = 0;
        for i in 0..up_to {
            // Notice that the return type of this match expression must be u32
            // because of the type of the "addition" variable.
            let addition: u32 = match i%2 == 1 {
                // The "i" variable is of type u32, which is perfectly fine.
                true => i,
                // On the other hand, the "continue" expression does not return
                // u32, but it is still fine, because it never returns and therefore
                // does not violate the type requirements of the match expression.
                false => continue,
            };
            acc += addition;
        }
        acc
    }
    println!("Sum of odd numbers up to 9 (excluding): {}", sum_odd_numbers(9));
}

It is also the return type of functions that loop forever (e.g. loop {}) like network servers or functions that terminate the process (e.g. exit()).

Tags Rust Capturing Rust Closures Rust Functions Rust Methods Facebook X
Comments 0
  1. Rust Documentation
    315
  2. Rust Compatibility
    724
  3. Rust Unsafe Operations
    368
  4. Rust Testing
    1,244
  5. Rust Std misc
    375
  6. Rust Std library types
    370
  7. Rust Error Handling
    349
  8. Rust Macro Rules
    1,521
  9. Rust mechanism for defining shared behavior across different types - Traits
    1,771
  10. Rust Scoping Rules - only accessible within the block of code
    1,073
  11. Rust Generics - Generalizing types and functionalities
    1,356
  12. Rust Attributes for conditional compilation, crate, lints, mark functions, macros
    317
  13. Rust Package Management Tool - cargo
    307
  14. Rust compilation unit - Crates
    254
  15. Rust Modules - Visivility, Struct Visibility, Use Declaration, super and self, File Hierarchy
    1,908
  16. Rust Flow of Control - if/else, loop. while, for and range, match, if let, let-else, while let
    339
  17. Rust Expressions
    933
  18. Rust Conversion - From, Into, TryFrom, TryInto
    1,320
  19. gRPC library for Rust
    345
  20. Rust Data Type Operations - Casting, Literals, Inference, Aliasing
    326
  21. Variable Bindings in Rust
    975
  22. Rust Custom Data Types - struct, enum, use, constants
    299
  23. Arrays and Slices in Rust
    341
  24. Tuples in Rust - a collection of values of different types
    298
  25. Literals and operators in Rust
    299
  26. Rust Data Type - What is mutable?
    256
  27. Rust Code Testing Environment without installing anything on your computer
    327
  28. Rust Thread Example
    346
  29. How do I setup Rust development environment?
    369
  30. Rust - System Programming Language invented by Graydon Hoare
    281
Recently updated
  1. Google OAuth Token Expiration: Causes and Solutions
    29
  2. Why 100% SEO Guarantees Better User Engagement and How to Achieve It in Your Service
    55
  3. Why SPF and DKIM Are Essential for Linux Email Servers?
    49
  4. How do I create animated background for Google Meet?
    22,842
  5. MaxMind GeoLite2 vs. DB-IP Lite vs. ip-api.com: Choosing the Right Free IP Geolocation Solution
    271
  6. Meet Valkey: Why Redis Changed Its License, Why Valkey is Better, and How to Use It as a Drop-in Replacement
    103
  7. How Rogue Web Scrapers Are Stealing My Content and Destroying My Server
    168
  8. Array of arguments passed to script in PHP
    97
  9. Invalid Auction Storms in Ad Tech
    106
  10. Building MRC-Compliant Instrumentation in Ad Tech: Implementation Steps and Key Challenges
    207
  11. The Two Clocks of Ad Server Architecture
    77
  12. Frequency Cap Architecture Overview
    526
  13. Collecting Proof-of-Play from 100,000 Screens
    152
  14. Vector Search in Relational Databases (RDBs): Trends & Usage Environments
    302
  15. What is RedisVL?
    114
  16. Designing a Skill Registry Architecture: Minimize Token Usage and Maximize AI Performance
    246
  17. TPU & GPU Cluster Management Tools
    257
  18. The Concept of Scaffolding in AI Agents
    244
  19. Beyond Static Pipelines: Architecting LLM Multi-Agent Systems for Autonomous Workflow Orchestration
    596
  20. AI-DLC vs. AI-SDLC: Model-Centric vs. System-Centric AI Development
    267
  21. Fine-Tuning Open-Weight LLMs: Training, Licensing, and Deploying Custom Models with Ollama
    353
  22. Inside the Next-Generation Streaming Architecture: Ultra-Low Latency, SGAI, and AI Codecs
    206
  23. Machine Learning: Training vs. Ranking
    229
  24. The Continuous Learning Machine: Designing a Loop That Actually Turns
    228
  25. The Next-Gen Low-Latency Standards: LL-HLS & MoQ
    202
  26. Designing a Data Curation System Around a Vector Database
    230
  27. Extracting Context from Live Video: The Architecture Got Simpler When We Stopped Building Features
    263
  28. The New Ad Stack Behind Live Sports Streaming: Inside SGAI, EABN, and the Standards Race to Fix Live Monetization
    671
  29. Designing MLOps Architectures to Handle Seasonal Data Drift in EV Fleet Models
    200
  30. From 15 to 40+ FPS: Accelerating PyTorch Object Detection on Automotive ECUs
    232