UG metal integration. (#2580)

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Laurent Mazare 2024-10-27 15:20:37 +01:00 committed by GitHub
parent 594d984f9c
commit 0e2c8c17fb
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8 changed files with 92 additions and 18 deletions

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@ -72,6 +72,7 @@ tracing-chrome = "0.7.1"
tracing-subscriber = "0.3.7"
ug = "0.0.2"
ug-cuda = "0.0.2"
ug-metal = "0.0.2"
yoke = { version = "0.7.2", features = ["derive"] }
zip = { version = "1.1.1", default-features = false }
metal = { version = "0.27.0", features = ["mps"]}

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@ -30,6 +30,7 @@ safetensors = { workspace = true }
thiserror = { workspace = true }
ug = { workspace = true }
ug-cuda = { workspace = true, optional = true }
ug-metal = { workspace = true, optional = true }
yoke = { workspace = true }
zip = { workspace = true }
@ -45,7 +46,7 @@ cuda = ["cudarc", "dep:candle-kernels", "dep:ug-cuda"]
cudnn = ["cuda", "cudarc/cudnn"]
mkl = ["dep:libc", "dep:intel-mkl-src"]
accelerate = ["dep:libc", "dep:accelerate-src"]
metal = ["dep:metal", "dep:candle-metal-kernels"]
metal = ["dep:metal", "dep:candle-metal-kernels", "dep:ug-metal"]
[[bench]]
name = "bench_main"

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@ -380,6 +380,8 @@ pub struct UgIOp1 {
name: &'static str,
#[cfg(feature = "cuda")]
func: cudarc::driver::CudaFunction,
#[cfg(feature = "metal")]
func: metal::ComputePipelineState,
}
impl UgIOp1 {
@ -395,7 +397,13 @@ impl UgIOp1 {
let func = device.compile(name, kernel)?;
Ok(Self { name, func })
}
#[cfg(not(feature = "cuda"))]
#[cfg(feature = "metal")]
{
let device = device.as_metal_device()?;
let func = device.compile(name, kernel)?;
Ok(Self { name, func })
}
#[cfg(not(any(feature = "cuda", feature = "metal")))]
{
Ok(Self { name })
}
@ -408,11 +416,43 @@ impl InplaceOp1 for UgIOp1 {
}
fn cpu_fwd(&self, _: &mut CpuStorage, _: &Layout) -> Result<()> {
crate::bail!("ug ops are only supported on cuda at the moment")
crate::bail!("ug ops are only supported on metal/cuda at the moment")
}
fn metal_fwd(&self, _: &mut MetalStorage, _: &Layout) -> Result<()> {
crate::bail!("ug ops are only supported on cuda at the moment")
#[cfg(feature = "metal")]
fn metal_fwd(&self, sto: &mut MetalStorage, layout: &Layout) -> Result<()> {
use crate::backend::BackendStorage;
use candle_metal_kernels::utils::EncoderProvider;
let elem_count = layout.shape().elem_count();
if sto.dtype() != crate::DType::F32 {
// TODO: support more dtypes.
crate::bail!("input is not a f32 tensor")
}
let device = sto.device();
println!("here");
let command_buffer = device.command_buffer()?;
let command_buffer = &command_buffer;
let encoder = command_buffer.encoder();
let encoder = encoder.as_ref();
encoder.set_compute_pipeline_state(&self.func);
let (g, b) = if elem_count % 32 == 0 {
(elem_count / 32, 32)
} else {
(elem_count, 1)
};
let grid_dims = metal::MTLSize {
width: g as u64,
height: 1,
depth: 1,
};
let group_dims = candle_metal_kernels::utils::get_block_dims(b as u64, 1, 1);
candle_metal_kernels::utils::set_param(encoder, 0, (sto.buffer(), 0usize));
encoder.use_resource(sto.buffer(), metal::MTLResourceUsage::Write);
encoder.dispatch_threads(grid_dims, group_dims);
Ok(())
}
#[cfg(feature = "cuda")]

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@ -138,6 +138,14 @@ impl Device {
}
}
pub fn as_metal_device(&self) -> Result<&crate::MetalDevice> {
match self {
Self::Cuda(_) => crate::bail!("expected a metal device, got cuda"),
Self::Cpu => crate::bail!("expected a metal device, got cpu"),
Self::Metal(d) => Ok(d),
}
}
pub fn new_cuda_with_stream(ordinal: usize) -> Result<Self> {
Ok(Self::Cuda(crate::CudaDevice::new_with_stream(ordinal)?))
}

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@ -144,6 +144,28 @@ impl MetalDevice {
self.use_mlx_mm = use_mlx_mm
}
pub fn compile(
&self,
func_name: &'static str,
kernel: ug::lang::ssa::Kernel,
) -> Result<metal::ComputePipelineState> {
let mut buf = vec![];
ug_metal::code_gen::gen(&mut buf, func_name, &kernel)?;
let metal_code = String::from_utf8(buf)?;
let lib = self
.device
.new_library_with_source(&metal_code, &metal::CompileOptions::new())
.map_err(MetalError::from)?;
let func = lib
.get_function(func_name, None)
.map_err(MetalError::from)?;
let pl = self
.device
.new_compute_pipeline_state_with_function(&func)
.map_err(MetalError::from)?;
Ok(pl)
}
pub fn id(&self) -> DeviceId {
self.id
}

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@ -144,7 +144,7 @@ fn inplace_op1() -> Result<()> {
Ok(())
}
#[cfg(feature = "cuda")]
#[cfg(any(feature = "cuda", feature = "metal"))]
#[allow(clippy::approx_constant)]
#[test]
fn ug_op() -> Result<()> {
@ -160,15 +160,21 @@ fn ug_op() -> Result<()> {
let opts: ug::lower_op::Opts = Default::default();
kernel.lower(&opts.with_global(0, 12))?
};
let device = Device::new_cuda(0)?;
let device = if candle_core::utils::cuda_is_available() {
Device::new_cuda(0)?
} else if candle_core::utils::metal_is_available() {
Device::new_metal(0)?
} else {
candle_core::bail!("metal/cuda is mandatory for this test")
};
let op = candle_core::UgIOp1::new("test", kernel, &device)?;
let t = Tensor::arange(0u32, 12u32, &device)?.to_dtype(DType::F32)?;
t.inplace_op1(&op)?;
assert_eq!(
to_vec1_round(&t, 4)?,
to_vec1_round(&t, 2)?,
&[
1.0, 2.7183, 7.3891, 20.0855, 54.5982, 148.4132, 403.4287, 1096.6334, 2980.9578,
8103.0806, 22026.469, 59874.133
1.0, 2.72, 7.39, 20.09, 54.6, 148.41, 403.43, 1096.63, 2980.96, 8103.08, 22026.47,
59874.13
]
);
Ok(())

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@ -6,7 +6,7 @@ use std::collections::HashMap;
use std::ffi::c_void;
use std::sync::RwLock;
mod utils;
pub mod utils;
pub use utils::BufferOffset;
use utils::{get_block_dims, linear_split, EncoderProvider};

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@ -24,7 +24,7 @@ pub(crate) fn linear_split(pipeline: &ComputePipelineState, length: usize) -> (M
}
// https://github.com/ml-explore/mlx/blob/bddf23f175726a57f0e443cd45518c0757daa166/mlx/backend/metal/utils.h#L96
pub(crate) fn get_block_dims(dim0: u64, dim1: u64, dim2: u64) -> MTLSize {
pub fn get_block_dims(dim0: u64, dim1: u64, dim2: u64) -> MTLSize {
let mut pows0 = 0u64;
let mut pows1 = 0u64;
let mut pows2 = 0u64;
@ -61,18 +61,14 @@ pub(crate) fn get_block_dims(dim0: u64, dim1: u64, dim2: u64) -> MTLSize {
}
}
pub(crate) fn set_param<P: EncoderParam>(
encoder: &ComputeCommandEncoderRef,
position: u64,
data: P,
) {
pub fn set_param<P: EncoderParam>(encoder: &ComputeCommandEncoderRef, position: u64, data: P) {
<P as EncoderParam>::set_param(encoder, position, data)
}
/// Helper functions to create the various objects on the compute command encoder
/// on a single line.
/// Prevents getting wrong some arguments number and mixing length and size in bytes.
pub(crate) trait EncoderParam {
pub trait EncoderParam {
fn set_param(encoder: &ComputeCommandEncoderRef, position: u64, data: Self);
}
macro_rules! primitive {