use ug::Result;
#[test]
fn eval_add() -> Result<()> {
let kernel = ug::samples::ssa::simple_add(2)?;
let mut a = ug::interpreter::Buffer::I32(vec![0i32, 0]);
let mut b = ug::interpreter::Buffer::I32(vec![3i32, 4]);
let mut c = ug::interpreter::Buffer::I32(vec![1i32, 2]);
ug::interpreter::eval_ssa::<1>(&kernel, vec![&mut a, &mut b, &mut c], &[], 0)?;
let a = a.as_i32()?;
assert_eq!(a, [4, 6]);
Ok(())
}
#[test]
fn eval_dotprod() -> Result<()> {
let kernel = ug::samples::ssa::simple_dotprod(2)?;
let mut a = ug::interpreter::Buffer::F32(vec![0f32]);
let mut b = ug::interpreter::Buffer::F32(vec![3f32, 4.5]);
let mut c = ug::interpreter::Buffer::F32(vec![1f32, 2.]);
ug::interpreter::eval_ssa::<1>(&kernel, vec![&mut a, &mut b, &mut c], &[], 0)?;
let a = a.as_f32()?;
assert_eq!(a, [12.]);
Ok(())
}
#[test]
fn lower_add() -> Result<()> {
let kernel = ug::samples::simple_add(2)?;
let ssa_kernel = kernel.lower()?;
let mut c = ug::interpreter::Buffer::F32(vec![0f32, 0.]);
let mut b = ug::interpreter::Buffer::F32(vec![3f32, 4.]);
let mut a = ug::interpreter::Buffer::F32(vec![1f32, 2.]);
ug::interpreter::eval_ssa::<1>(&ssa_kernel, vec![&mut a, &mut b, &mut c], &[], 0)?;
let c = c.as_f32()?;
assert_eq!(c, [4., 6.]);
Ok(())
}
#[test]
fn softmax() -> Result<()> {
let kernel = ug::samples::op::softmax(2, 4)?;
let ssa_kernel = kernel.lower(&Default::default())?;
let mut a = ug::interpreter::Buffer::F32(vec![0., 1., 2., 3., 2., 1., 2., 1.]);
let mut b = ug::interpreter::Buffer::F32(vec![0f32; 8]);
ug::interpreter::eval_ssa::<1>(&ssa_kernel, vec![&mut a, &mut b], &[], 0)?;
let b = b.as_f32()?;
assert_eq!(
b,
[
0.032058604,
0.08714432,
0.23688284,
0.6439143,
0.3655293,
0.13447072,
0.3655293,
0.13447072
]
);
Ok(())
}
#[test]
fn ssa_softmax() -> Result<()> {
const N_COLS: usize = 4;
const N_ROWS: usize = 2;
let ssa_kernel = ug::samples::ssa::softmax(N_ROWS, N_COLS)?;
let mut a = ug::interpreter::Buffer::F32(vec![0., 1., 2., 3., 2., 1., 2., 1.]);
let mut b = ug::interpreter::Buffer::F32(vec![0f32; N_ROWS * N_COLS]);
for group_idx in 0..N_ROWS {
ug::interpreter::eval_ssa::<N_COLS>(&ssa_kernel, vec![&mut a, &mut b], &[], group_idx)?;
}
let b = b.as_f32()?;
assert_eq!(
b,
[
0.032058604,
0.08714432,
0.23688284,
0.6439143,
0.3655293,
0.13447072,
0.3655293,
0.13447072
]
);
Ok(())
}
#[test]
fn ssa_softmax_reduce() -> Result<()> {
const N_COLS: usize = 4;
const N_ROWS: usize = 2;
let ssa_kernel = ug::samples::ssa::softmax_reduce(N_ROWS, N_COLS)?;
let mut a = ug::interpreter::Buffer::F32(vec![0., 1., 2., 3., 2., 1., 2., 1.]);
let mut b = ug::interpreter::Buffer::F32(vec![0f32; N_ROWS * N_COLS]);
for group_idx in 0..N_ROWS {
ug::interpreter::eval_ssa::<N_COLS>(&ssa_kernel, vec![&mut a, &mut b], &[], group_idx)?;
}
let b = b.as_f32()?;
assert_eq!(
b,
[
0.032058604,
0.08714432,
0.23688284,
0.6439143,
0.3655293,
0.13447072,
0.3655293,
0.13447072
]
);
Ok(())
}
#[test]
fn affine() -> Result<()> {
let kernel = {
use ug::{lang::op, DType, Layout};
let layout = Layout::from_shape(4);
let ptr = ug::lang::Arg::ptr(DType::F32);
let src = op::load(ptr.id(), layout.clone(), DType::F32)?;
let sub = op::broadcast_binary(op::BinaryOp::Sub, src, op::cst(0.5)?)?;
let mul = op::broadcast_binary(op::BinaryOp::Mul, sub, op::cst(3.)?)?;
let st = op::store(ptr.id(), layout, mul)?;
op::Kernel::new("affine".to_string(), vec![ptr], vec![st])
};
let ssa_kernel = kernel.lower(&Default::default())?;
let mut a = ug::interpreter::Buffer::F32(vec![1., 2., 3., 4.]);
ug::interpreter::eval_ssa::<4>(&ssa_kernel, vec![&mut a], &[], 0)?;
let a = a.as_f32()?;
assert_eq!(a, [1.5, 4.5, 7.5, 10.5]);
Ok(())
}