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.github/FUNDING.yml 0 → 100644
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# These are supported funding model platforms
github: coreylowman
patreon: dfdx
open_collective: # Replace with a single Open Collective username
ko_fi: coreylowman
tidelift: # Replace with a single Tidelift platform-name/package-name e.g., npm/babel
community_bridge: # Replace with a single Community Bridge project-name e.g., cloud-foundry
liberapay: # Replace with a single Liberapay username
issuehunt: # Replace with a single IssueHunt username
otechie: # Replace with a single Otechie username
lfx_crowdfunding: # Replace with a single LFX Crowdfunding project-name e.g., cloud-foundry
custom: # Replace with up to 4 custom sponsorship URLs e.g., ['link1', 'link2']
.github/workflows/cargo-check.yaml 0 → 100644
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on: [pull_request]
jobs:
cargo-check:
name: cargo-check
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v2
- uses: actions-rs/toolchain@v1
with:
profile: minimal
toolchain: stable
override: true
- uses: actions-rs/cargo@v1
with:
command: check
args: --features ci-check
- uses: actions-rs/cargo@v1
with:
command: check
args: --no-default-features --features ci-check,no-std,cudnn,cublas,cublaslt,nvrtc,driver,curand,nccl
.github/workflows/cargo-clippy.yaml 0 → 100644
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on: [pull_request]
jobs:
clippy:
name: clippy
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v2
- uses: actions-rs/toolchain@v1
with:
profile: minimal
toolchain: stable
override: true
- run: rustup component add clippy
- uses: actions-rs/cargo@v1
with:
command: clippy
args: --no-default-features --features ci-check,no-std,cudnn,cublas,cublaslt,nvrtc,driver,curand,nccl -- -D warnings
.github/workflows/cargo-fmt.yaml 0 → 100644
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on: [pull_request]
jobs:
cargo-fmt:
name: cargo-fmt
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v2
- uses: actions-rs/toolchain@v1
with:
profile: minimal
toolchain: stable
override: true
- uses: actions-rs/cargo@v1
with:
command: fmt
args: --all -- --check
.gitignore 0 → 100644
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/Cargo.lock
/target
/.vscode/
Cargo.toml 0 → 100644
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[package]
name = "cudarc"
version = "0.10.0"
edition = "2021"
license = "MIT OR Apache-2.0"
description = "Safe wrappers around CUDA apis"
homepage = "https://github.com/coreylowman/cudarc"
documentation = "https://docs.rs/cudarc"
repository = "https://github.com/coreylowman/cudarc"
readme = "README.md"
keywords = [
"cuda",
"nvidia",
"gpu",
"nvrtc",
"cublas",
]
# See more keys and their definitions at https://doc.rust-lang.org/cargo/reference/manifest.html
[package.metadata.docs.rs]
features = ["ci-check", "f16", "cudnn"]
[features]
default = ["std", "driver", "nvrtc", "cublas", "curand"]
nvrtc = []
driver = ["nvrtc"]
cublas = ["driver"]
cublaslt = ["driver"]
cudnn = ["driver"]
curand = ["driver"]
nccl = ["driver"]
std = []
no-std = ["no-std-compat/std", "dep:spin"]
f16 = ["dep:half"]
ci-check = []
static-linking=[]
[dependencies]
spin = { version = "0.9.8", optional = true, features = ["rwlock"], default-features = false }
no-std-compat = { version = "0.4.1", optional = true, features = [ "alloc" ] }
half = { version = "2.3.1", optional = true, default-features = false, features = ["num-traits", "rand_distr"] }
LICENSE-APACHE 0 → 100644
View file @ 3ec8c534
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LICENSE-MIT 0 → 100644
View file @ 3ec8c534
Permission is hereby granted, free of charge, to any
person obtaining a copy of this software and associated
documentation files (the "Software"), to deal in the
Software without restriction, including without
limitation the rights to use, copy, modify, merge,
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the Software, and to permit persons to whom the Software
is furnished to do so, subject to the following
conditions:
The above copyright notice and this permission notice
shall be included in all copies or substantial portions
of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF
ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED
TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A
PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT
SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY
CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION
OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR
IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER
DEALINGS IN THE SOFTWARE.
README.md 0 → 100644
View file @ 3ec8c534
# cudarc: minimal and safe api over the cuda toolkit
[![](https://dcbadge.vercel.app/api/server/AtUhGqBDP5)](https://discord.gg/AtUhGqBDP5)
[![crates.io](https://img.shields.io/crates/v/cudarc?style=for-the-badge)](https://crates.io/crates/cudarc)
[![docs.rs](https://img.shields.io/docsrs/cudarc?label=docs.rs%20latest&style=for-the-badge)](https://docs.rs/cudarc)
Checkout cudarc on [crates.io](https://crates.io/crates/cudarc) and [docs.rs](https://docs.rs/cudarc/latest/cudarc/).
Safe abstractions over:
1. [CUDA driver API](https://docs.nvidia.com/cuda/cuda-driver-api/index.html)
2. [NVRTC API](https://docs.nvidia.com/cuda/nvrtc/index.html)
3. [cuRAND API](https://docs.nvidia.com/cuda/curand/index.html)
4. [cuBLAS API](https://docs.nvidia.com/cuda/cublas/index.html)
5. [cuBLASLt API](https://docs.nvidia.com/cuda/cublas/#using-the-cublaslt-api)
**Pre-alpha state**, expect breaking changes and not all cuda functions
contain a safe wrapper. **Contributions welcome for any that aren't included!**
# Design
Goals are:
1. As safe as possible (there will still be a lot of unsafe due to ffi & async)
2. As ergonomic as possible
3. Allow mixing of high level `safe` apis, with low level `sys` apis
To that end there are three levels to each wrapper (by default the safe api is exported):
```rust
use cudarc::driver::{safe, result, sys};
use cudarc::nvrtc::{safe, result, sys};
use cudarc::cublas::{safe, result, sys};
use cudarc::cublaslt::{safe, result, sys};
use cudarc::curand::{safe, result, sys};
```
where:
1. `sys` is the raw ffi apis generated with bindgen
2. `result` is a very small wrapper around sys to return `Result` from each function
3. `safe` is a wrapper around result/sys to provide safe abstractions
*Heavily recommend sticking with safe APIs*
# API Preview
It's easy to create a new device and transfer data to the gpu:
```rust
let dev = cudarc::driver::CudaDevice::new(0)?;
// allocate buffers
let inp = dev.htod_copy(vec![1.0f32; 100])?;
let mut out = dev.alloc_zeros::<f32>(100)?;
```
You can also use the nvrtc api to compile kernels at runtime:
```rust
let ptx = cudarc::nvrtc::compile_ptx("
extern \"C\" __global__ void sin_kernel(float *out, const float *inp, const size_t numel) {
unsigned int i = blockIdx.x * blockDim.x + threadIdx.x;
if (i < numel) {
out[i] = sin(inp[i]);
}
}")?;
// and dynamically load it into the device
dev.load_ptx(ptx, "my_module", &["sin_kernel"])?;
```
`cudarc` provides a very simple interface to launch kernels, tuples
are the arguments!
```rust
let sin_kernel = dev.get_func("my_module", "sin_kernel").unwrap();
let cfg = LaunchConfig::for_num_elems(100);
unsafe { sin_kernel.launch(cfg, (&mut out, &inp, 100usize)) }?;
```
And of course it's easy to copy things back to host after you're done:
```rust
let out_host: Vec<f32> = dev.dtoh_sync_copy(&out)?;
assert_eq!(out_host, [1.0; 100].map(f32::sin));
```
# License
Dual-licensed to be compatible with the Rust project.
Licensed under the Apache License, Version 2.0 http://www.apache.org/licenses/LICENSE-2.0 or the MIT license http://opensource.org/licenses/MIT, at your option. This file may not be copied, modified, or distributed except according to those terms.
build.rs 0 → 100644
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use std::path::{Path, PathBuf};
fn main() {
println!("cargo:rerun-if-changed=build.rs");
#[cfg(not(feature = "ci-check"))]
link_cuda();
}
#[allow(unused)]
fn link_cuda() {
println!("cargo:rerun-if-env-changed=CUDA_ROOT");
println!("cargo:rerun-if-env-changed=CUDA_PATH");
println!("cargo:rerun-if-env-changed=CUDA_TOOLKIT_ROOT_DIR");
let candidates: Vec<PathBuf> = root_candidates().collect();
let toolkit_root = root_candidates()
.find(|path| path.join("include").join("cuda.h").is_file())
.unwrap_or_else(|| {
panic!(
"Unable to find `include/cuda.h` under any of: {:?}. Set the `CUDA_ROOT` environment variable to `$CUDA_ROOT/include/cuda.h` to override path.",
candidates
)
});
for path in lib_candidates(&toolkit_root) {
println!("cargo:rustc-link-search=native={}", path.display());
}
#[cfg(feature = "driver")]
println!("cargo:rustc-link-lib=dylib=cuda");
#[cfg(feature = "nccl")]
println!("cargo:rustc-link-lib=dylib=nccl");
#[cfg(feature = "static-linking")]
{
println!("cargo:rustc-link-lib=dylib=stdc++");
#[cfg(any(feature = "cublas", feature = "cublaslt"))]
{
println!("cargo:rustc-link-lib=dylib=cudart");
println!("cargo:rustc-link-lib=static=cublasLt_static");
}
#[cfg(feature = "cublas")]
println!("cargo:rustc-link-lib=static=cublas_static");
#[cfg(feature = "curand")]
{
println!("cargo:rustc-link-lib=dylib=culibos");
println!("cargo:rustc-link-lib=static=curand_static");
}
#[cfg(feature = "nvrtc")]
{
println!("cargo:rustc-link-lib=static=nvrtc_static");
println!("cargo:rustc-link-lib=static=nvptxcompiler_static");
println!("cargo:rustc-link-lib=static=nvrtc-builtins_static");
}
}
#[cfg(not(feature = "static-linking"))]
{
#[cfg(feature = "nvrtc")]
println!("cargo:rustc-link-lib=dylib=nvrtc");
#[cfg(feature = "curand")]
println!("cargo:rustc-link-lib=dylib=curand");
#[cfg(feature = "cublas")]
println!("cargo:rustc-link-lib=dylib=cublas");
#[cfg(any(feature = "cublas", feature = "cublaslt"))]
println!("cargo:rustc-link-lib=dylib=cublasLt");
}
#[cfg(feature = "cudnn")]
{
let cudnn_root = root_candidates()
.find(|path| path.join("include").join("cudnn.h").is_file())
.unwrap_or_else(|| {
panic!(
"Unable to find `include/cudnn.h` under any of: {:?}. Set the `CUDNN_LIB` environment variable to `$CUDNN_LIB/include/cudnn.h` to override path.",
candidates
)
});
for path in lib_candidates(&cudnn_root) {
println!("cargo:rustc-link-search=native={}", path.display());
}
}
#[cfg(feature = "cudnn")]
println!("cargo:rustc-link-lib=dylib=cudnn");
}
fn root_candidates() -> impl Iterator<Item = PathBuf> {
let env_vars = [
"CUDA_PATH",
"CUDA_ROOT",
"CUDA_TOOLKIT_ROOT_DIR",
"CUDNN_LIB",
];
let env_vars = env_vars
.into_iter()
.map(std::env::var)
.filter_map(Result::ok);
let roots = [
"/usr",
"/usr/local/cuda",
"/opt/cuda",
"/usr/lib/cuda",
"C:/Program Files/NVIDIA GPU Computing Toolkit",
"C:/CUDA",
];
let roots = roots.into_iter().map(Into::into);
env_vars.chain(roots).map(Into::<PathBuf>::into)
}
fn lib_candidates(root: &Path) -> Vec<PathBuf> {
[
"lib",
"lib/x64",
"lib/Win32",
"lib/x86_64",
"lib/x86_64-linux-gnu",
"lib64",
"lib64/stubs",
"targets/x86_64-linux",
"targets/x86_64-linux/lib",
"targets/x86_64-linux/lib/stubs",
]
.iter()
.map(|&p| root.join(p))
.filter(|p| p.is_dir())
.collect()
}
examples/01-allocate.rs 0 → 100644
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use cudarc::driver::{CudaDevice, CudaSlice, DriverError};
fn main() -> Result<(), DriverError> {
let dev = CudaDevice::new(0)?;
// unsafe initialization of unset memory
let _: CudaSlice<f32> = unsafe { dev.alloc::<f32>(10) }?;
// this will have memory initialized as 0
let _: CudaSlice<f64> = dev.alloc_zeros::<f64>(10)?;
// initialize with a rust vec
let _: CudaSlice<usize> = dev.htod_copy(vec![0; 10])?;
// or finially, initialize with a slice. this is synchronous though.
let _: CudaSlice<u32> = dev.htod_sync_copy(&[1, 2, 3])?;
Ok(())
}
examples/02-copy.rs 0 → 100644
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use cudarc::driver::{CudaDevice, CudaSlice, DriverError};
fn main() -> Result<(), DriverError> {
let dev = CudaDevice::new(0)?;
let a: CudaSlice<f64> = dev.alloc_zeros::<f64>(10)?;
let mut b = dev.alloc_zeros::<f64>(10)?;
// you can do device to device copies of course
dev.dtod_copy(&a, &mut b)?;
// but also host to device copys with already allocated buffers
dev.htod_copy_into(vec![2.0; 10], &mut b)?;
// if you want to use slices, you can do synchronous copy
dev.htod_sync_copy_into(&[3.0; 10], &mut b)?;
// you can transfer back using reclaim:
let mut a_host: Vec<f64> = dev.sync_reclaim(a)?;
assert_eq!(a_host, [0.0; 10]);
// or copy back without losing ownership:
let b_host = dev.dtoh_sync_copy(&b)?;
assert_eq!(b_host, [3.0; 10]);
// or use a slice
dev.dtoh_sync_copy_into(&b, &mut a_host)?;
assert_eq!(a_host, b_host);
Ok(())
}
examples/03-launch-kernel.rs 0 → 100644
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use cudarc::{
driver::{CudaDevice, DriverError, LaunchAsync, LaunchConfig},
nvrtc::Ptx,
};
fn main() -> Result<(), DriverError> {
let dev = CudaDevice::new(0)?;
// You can load a function from a pre-compiled PTX like so:
dev.load_ptx(Ptx::from_file("./examples/sin.ptx"), "sin", &["sin_kernel"])?;
// and then retrieve the function with `get_func`
let f = dev.get_func("sin", "sin_kernel").unwrap();
let a_host = [1.0, 2.0, 3.0];
let a_dev = dev.htod_copy(a_host.into())?;
let mut b_dev = a_dev.clone();
let n = 3;
let cfg = LaunchConfig::for_num_elems(n);
unsafe { f.launch(cfg, (&mut b_dev, &a_dev, n as i32)) }?;
let a_host_2 = dev.sync_reclaim(a_dev)?;
let b_host = dev.sync_reclaim(b_dev)?;
println!("Found {:?}", b_host);
println!("Expected {:?}", a_host.map(f32::sin));
assert_eq!(&a_host, a_host_2.as_slice());
Ok(())
}
examples/04-streams.rs 0 → 100644
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use cudarc::{
driver::{CudaDevice, DriverError, LaunchAsync, LaunchConfig},
nvrtc::Ptx,
};
fn main() -> Result<(), DriverError> {
let dev = CudaDevice::new(0)?;
dev.load_ptx(Ptx::from_file("./examples/sin.ptx"), "sin", &["sin_kernel"])?;
let n = 3;
let cfg = LaunchConfig::for_num_elems(n);
let a_host = [1.0, 2.0, 3.0];
let a_dev = dev.htod_copy(a_host.into())?;
let mut b_dev = a_dev.clone();
// create a stream with `fork_default_stream()`
// This synchronizes with the default stream, so since
// we put this call **after** the `htod_copy` & `clone` above,
// cuda will complete those orders **before** work on this stream
// can start.
let stream = dev.fork_default_stream()?;
let f = dev.get_func("sin", "sin_kernel").unwrap();
// we launch it differently too
unsafe { f.launch_on_stream(&stream, cfg, (&mut b_dev, &a_dev, n as i32)) }?;
// and we must join with the default work stream in order for copies
// to work corrently.
// NOTE: this is actually async with respect to the host!
dev.wait_for(&stream)?;
let a_host_2 = dev.sync_reclaim(a_dev)?;
let b_host = dev.sync_reclaim(b_dev)?;
println!("Found {:?}", b_host);
println!("Expected {:?}", a_host.map(f32::sin));
assert_eq!(&a_host, a_host_2.as_slice());
Ok(())
}
examples/05-device-repr.rs 0 → 100644
View file @ 3ec8c534
use cudarc::{driver::*, nvrtc::compile_ptx};
/// Here's the struct in rust, note that we have #[repr(C)]
/// here which allows us to pass it to cuda.
#[repr(C)]
struct MyCoolRustStruct {
a: f32,
b: f64,
c: u32,
d: usize,
}
/// We have to implement this to send it to cuda!
unsafe impl DeviceRepr for MyCoolRustStruct {}
const PTX_SRC: &str = "
// here's the same struct in cuda
struct MyCoolStruct {
float a;
double b;
unsigned int c;
size_t d;
};
extern \"C\" __global__ void my_custom_kernel(MyCoolStruct thing) {
assert(thing.a == 1.0);
assert(thing.b == 2.34);
assert(thing.c == 57);
assert(thing.d == 420);
}
";
fn main() -> Result<(), DriverError> {
let dev = CudaDevice::new(0)?;
let ptx = compile_ptx(PTX_SRC).unwrap();
dev.load_ptx(ptx, "module", &["my_custom_kernel"])?;
// try changing some of these values to see a device assert
let thing = MyCoolRustStruct {
a: 1.0,
b: 2.34,
c: 57,
d: 420,
};
let f = dev.get_func("module", "my_custom_kernel").unwrap();
// since MyCoolRustStruct implements DeviceRepr, we can pass it to launch.
unsafe { f.launch(LaunchConfig::for_num_elems(1), (thing,)) }?;
Ok(())
}
examples/06-threading.rs 0 → 100644
View file @ 3ec8c534
use cudarc::driver::*;
use cudarc::nvrtc::compile_ptx;
use std::thread;
const KERNEL_SRC: &str = "
extern \"C\" __global__ void hello_world(int i) {
printf(\"Hello from the cuda kernel in thread %d\\n\", i);
}
";
fn main() -> Result<(), DriverError> {
let cfg = LaunchConfig {
grid_dim: (1, 1, 1),
block_dim: (1, 1, 1),
shared_mem_bytes: 0,
};
{
// Option 1: use the same device on each thread.
// This requires calling the CudaDevice::bind_to_thread() method.
// Note that all kernels are submitted to the same stream/context,
// so the kernels will still execute in sequentially in the order
// they are submitted to the gpu.
let dev = CudaDevice::new(0)?;
let ptx = compile_ptx(KERNEL_SRC).unwrap();
dev.load_ptx(ptx, "kernel", &["hello_world"])?;
// explicit borrow so we don't have to re-clone the device for each thread
let dev = &dev;
thread::scope(move |s| {
for i in 0..10i32 {
s.spawn(move || {
// NOTE: this is the important call to have
// without this, you'll get a CUDA_ERROR_INVALID_CONTEXT
dev.bind_to_thread()?;
let f = dev.get_func("kernel", "hello_world").unwrap();
unsafe { f.launch(cfg, (i,)) }
});
}
});
}
{
// Option 2: create a new device in each thread
// This requires loading the PTX for each device, since they won't
// share a loaded modules on the Rust side of things.
let ptx = compile_ptx(KERNEL_SRC).unwrap();
thread::scope(|s| {
for i in 0..10i32 {
let ptx = ptx.clone();
s.spawn(move || {
let dev = CudaDevice::new(0)?;
dev.load_ptx(ptx, "kernel", &["hello_world"])?;
let f = dev.get_func("kernel", "hello_world").unwrap();
unsafe { f.launch(cfg, (i + 100,)) }
});
}
});
}
Ok(())
}
examples/07-build-workflow/Cargo.lock 0 → 100644
View file @ 3ec8c534
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examples/07-build-workflow/Cargo.toml 0 → 100644
View file @ 3ec8c534
[package]
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version = "0.1.0"
edition = "2021"
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[build-dependencies]
bindgen = "0.66.1"
cc = "1.0.82"
regex = "1.9.3"
[dependencies]
cudarc = { version = "0.9.14", path = "../.." }
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