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Add CubeCL test, work through dependency issues
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[package] | ||
name = "cubecl-test" | ||
edition.workspace = true | ||
license.workspace = true | ||
readme.workspace = true | ||
version.workspace = true | ||
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[features] | ||
default = [] | ||
wgpu = ["cubecl/wgpu"] | ||
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[dependencies] | ||
cubecl = { git = "https://github.com/tracel-ai/cubecl", features = ["wgpu"] } | ||
half = { version = "2.4.1", features = [ | ||
"alloc", | ||
"num-traits", | ||
"serde", | ||
], default-features = false } |
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use cubecl::prelude::*; | ||
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#[cube(launch_unchecked)] | ||
fn gelu_array<F: Float>(input: &Array<Line<F>>, output: &mut Array<Line<F>>) { | ||
if ABSOLUTE_POS < input.len() { | ||
output[ABSOLUTE_POS] = gelu_scalar::<F>(input[ABSOLUTE_POS]); | ||
} | ||
} | ||
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#[cube] | ||
fn gelu_scalar<F: Float>(x: Line<F>) -> Line<F> { | ||
// Execute the sqrt function at comptime. | ||
let sqrt2 = F::new(comptime!(2.0f32.sqrt())); | ||
let tmp = x / Line::new(sqrt2); | ||
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x * (Line::erf(tmp) + 1.0) / 2.0 | ||
} | ||
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pub fn launch<R: Runtime>(device: &R::Device) { | ||
let client = R::client(device); | ||
let input = &[-1., 0., 1., 5.]; | ||
let vectorization = 4; | ||
let output_handle = client.empty(input.len() * core::mem::size_of::<f32>()); | ||
let input_handle = client.create(f32::as_bytes(input)); | ||
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unsafe { | ||
gelu_array::launch_unchecked::<f32, R>( | ||
&client, | ||
CubeCount::Static(1, 1, 1), | ||
CubeDim::new(input.len() as u32 / vectorization, 1, 1), | ||
ArrayArg::from_raw_parts(&input_handle, input.len(), vectorization as u8), | ||
ArrayArg::from_raw_parts(&output_handle, input.len(), vectorization as u8), | ||
) | ||
}; | ||
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let bytes = client.read(output_handle.binding()); | ||
let output = f32::from_bytes(&bytes); | ||
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// Should be [-0.1587, 0.0000, 0.8413, 5.0000] | ||
println!("Executed gelu with runtime {:?} => {output:?}", R::name()); | ||
} | ||
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fn main() { | ||
#[cfg(feature = "wgpu")] | ||
launch::<cubecl::wgpu::WgpuRuntime>(&Default::default()); | ||
} |
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