A high level, easy to use gpgpu crate based on wgpu.
It is made for very large computations on powerful gpus
recreating wgpu's hello-compute (205 sloc when writen with wgpu)
rust
use easy_gpgpu::*;
fn wgpu_hello_compute() {
let mut device = Device::new();
let v = vec![1u32, 4, 3, 295];
let result = device.apply_on_vector(v.clone(), r"
fn collatz_iterations(n_base: u32) -> u32{
var n: u32 = n_base;
var i: u32 = 0u;
loop {
if (n <= 1u) {
break;
}
if (n % 2u == 0u) {
n = n / 2u;
}
else {
// Overflow? (i.e. 3*n + 1 > 0xffffffffu?)
if (n >= 1431655765u) { // 0x55555555u
return 4294967295u; // 0xffffffffu
}
n = 3u * n + 1u;
}
i = i + 1u;
}
return i;
}
collatz_iterations(element)
");
assert_eq!(result, vec![0, 2, 7, 55]);
}
=> No binding, no annoying global_id, no need to use a low level api.
You just need to write the minimum amount of wgsl shader code.
rust
use easy_gpgpu::*;
// create a device
let mut device = Device::new();
// create the vector we want to apply a computation on
let v1 = vec![1.0f32, 2.0, 3.0];
// the next line reads : for every element in v1, perform : element = element * 2.0
let v1 = device.apply_on_vector(v1, "element * 2.0");
println!("{v1:?}");
rust
//First create a device :
use easy_gpgpu::*;
let mut device = Device::new();
// Then create some buffers, specify if you want to get their content after the execution :
let v1 = vec![1i32, 2, 3, 4, 5, 6];
// from a vector
device.create_buffer_from("v1", &v1, BufferUsage::ReadOnly, false);
// creates an empty buffer
device.create_buffer("output", BufferType::I32, v1.len(), BufferUsage::WriteOnly, true);
// Finaly, execute a shader :
let result = device.execute_shader_code(Dispatch::Linear(v1.len()), r"
fn main() {
output[index] = v1[index] * 2;
}").into_iter().next().unwrap().unwrap_i32();
assert_eq!(result, vec![2i32, 4, 6, 8, 10, 12])
The buffers are available in the shader with the name provided when created with the device.
The index variable is provided thanks to the use of Dispatch::Linear (index is a u32).
We had only specified one buffer with is_output: true so we get only one vector as an output.
We just need to unwrap the data as a vector of i32s with .unwrap_i32()
The simplest method to use
rust
pub fn simplest_apply() {
let mut device = Device::new();
let v1 = vec![1.0f32, 2.0, 3.0];
// the next line reads : for every element in v1, perform : element = element * 2.0
let v1 = device.apply_on_vector(v1, "element * 2.0");
println!("{v1:?}");
}
An example of device.applyonvector with a previously created buffer
rust
pub fn apply_with_buf() {
let mut device = Device::new();
let v1 = vec![2.0f32, 3.0, 5.0, 7.0, 11.0];
let exponent = vec![3.0];
device.create_buffer_from("exponent", &exponent, BufferUsage::ReadOnly, false);
let cubes = device.apply_on_vector(v1, "pow(element, exponent[0u])");
println!("{cubes:?}")
}
The simplest example with device.executeshadercode : multiplying by 2 every element of a vector.
rust
pub fn simplest_execute_shader() {
let mut device = Device::new();
let v1 = vec![1i32, 2, 3, 4, 5, 6];
device.create_buffer_from("v1", &v1, BufferUsage::ReadOnly, false);
device.create_buffer("output", BufferType::I32, v1.len(), BufferUsage::WriteOnly, true);
let result = device.execute_shader_code(Dispatch::Linear(v1.len()), r"
fn main() {
output[index] = v1[index] * 2;
}
").into_iter().next().unwrap().unwrap_i32();
assert_eq!(result, vec![2, 4, 6, 8, 10, 12]);
}
An example with multiple returned buffer with device.executeshadercode
```rust pub fn multiplereturnedbuffers() { let mut device = Device::new(); let v = vec![1u32, 2, 3]; let v2 = vec![3u32, 4, 5]; let v3 = vec![7u32, 8, 9]; // we specify isoutput: true so this will be our first returned buffer device.createbufferfrom( "buf", &v, BufferUsage::ReadWrite, true ); device.createbufferfrom( "buf2", &v2, BufferUsage::ReadOnly, false ); // we specify isoutput: true so this will be our second returned buffer device.createbufferfrom( "buf3", &v3, BufferUsage::ReadWrite, true ); let mut result = device.executeshadercode(Dispatch::Linear(v.len()), r" fn main() { buf[index] = buf[index] + buf2[index] + buf3[index]; buf3[index] = buf[index] * buf2[index] * buf3[index]; } ").into_iter();
let sum = result.next().unwrap().unwrap_u32(); // first returned buffer
let product = result.next().unwrap().unwrap_u32(); //second returned buffer
println!("{:?}", sum);
println!("{:?}", product);
} ```
An example with a custom dispatch that gives access to the global_id variable.
rust
pub fn global_id() {
let mut device = Device::new();
let vec = vec![2u32, 3, 5, 7, 11, 13, 17];
// "vec" is actually a reserved keyword in wgsl.
device.create_buffer_from("vec1", &vec, BufferUsage::ReadWrite, true);
let result = device.execute_shader_code(Dispatch::Custom(1, vec.len() as u32, 1), r"
fn main() {
vec1[global_id.y] = vec1[global_id.y] + global_id.x + global_id.z;
}
").into_iter().next().unwrap().unwrap_u32();
// since the Dispatch was (1, 7, 1), the global_id.x and global.y are always 0
// so our primes stay primes :
assert_eq!(result, vec![2u32, 3, 5, 7, 11, 13, 17]);
}
An example with a complete pipeline which as you can see, is quite annoying just to multiply a vector by 2.
rust
pub fn complete_pipeline() {
let mut device = Device::new();
let v1 = vec![1u32, 2, 3, 4, 5];
device.create_buffer_from("v1", &v1, BufferUsage::ReadWrite, true);
let shader_module = device.create_shader_module(Dispatch::Linear(v1.len()), "
fn main() {
v1[index] = v1[index] * 2u;
}
");
let mut commands = vec![];
commands.push(Command::Shader(shader_module));
commands.push(Command::Retrieve("v1"));
device.execute_commands(commands);
let result = device.get_buffer_data(vec!["v1"]).into_iter().next().unwrap().unwrap_u32();
assert_eq!(result, vec![2u32, 4, 6, 8, 10]);
}
An example where we execute two shaders on the same device, with the same buffers.
```rust pub fn reusingdevice() { let mut device = Device::new(); let v1 = vec![1i32, 2, 3, 4, 5, 6]; device.createbufferfrom("v1", &v1, BufferUsage::ReadOnly, false); device.createbuffer("output", BufferType::I32, v1.len(), BufferUsage::WriteOnly, true); let result = device.executeshadercode(Dispatch::Linear(v1.len()), r" fn main() { output[index] = v1[index] * 2; } ").intoiter().next().unwrap().unwrapi32(); assert_eq!(result, vec![2i32, 4, 6, 8, 10, 12]);
let result2 = device.execute_shader_code(Dispatch::Linear(v1.len()), r"
fn main() {
output[index] = v1[index] * 10;
}
").into_iter().next().unwrap().unwrap_i32();
assert_eq!(result2, vec![10, 20, 30, 40, 50, 60]);
} ```
Even more examples are available in the docs, in the examples module
The helpful doc : wgsl
WARNING : the wgsl language described in this documentation is not exactly the one used by this crate :
(the wgsl language used in this crate is the same as one used in the wgpu crate)
-> The attributes in the doc are specified with @attribute while in this crate there are with [[attribute]]
so @group(0) @binding(0) becomes [[group(0), binding(0)]]
There are also some other minor differences but this doc is very useful for all the builtin functions