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Add some test utils module.

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This commit is contained in:
laurent
2023-06-27 16:20:28 +01:00
parent aa35c418a5
commit dbe3e4e7c0
2 changed files with 54 additions and 41 deletions
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62
candle-core/tests/tensor_tests.rs
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@ -1,5 +1,7 @@
// TODO: Also test the cuda backend.
mod test_utils;
use candle::{DType, Device, Result, Tensor};
use test_utils::to_vec3_round;
fn zeros(device: &Device) -> Result<()> {
let tensor = Tensor::zeros((5, 2), DType::F32, device)?;
@ -74,30 +76,30 @@ fn softmax(device: &Device) -> Result<()> {
let t1 = tensor.log()?.softmax(1)?;
let t2 = tensor.log()?.softmax(2)?;
assert_eq!(
t0.to_vec3::<f32>()?,
to_vec3_round(t0, 4)?,
&[
// 3/5, 1/2, 4/11
[[0.6, 0.5, 0.36363637], [0.11111111, 0.71428573, 0.5294118]],
[[0.6, 0.5, 0.3636], [0.1111, 0.7143, 0.5294]],
// 2/5, 1/2, 7/11
[[0.4, 0.5, 0.63636357], [0.8888889, 0.2857143, 0.47058824]]
[[0.4, 0.5, 0.6364], [0.8889, 0.2857, 0.4706]]
]
);
assert_eq!(
t1.to_vec3::<f32>()?,
to_vec3_round(t1, 4)?,
&[
// 3/4, 1/6, 4/13
[[0.75, 0.16666667, 0.30769232], [0.25, 0.8333333, 0.6923077]],
[[0.75, 0.1667, 0.3077], [0.25, 0.8333, 0.6923]],
// 2/10, 1/3, 7/15
[[0.2, 0.33333334, 0.46666664], [0.8, 0.6666667, 0.53333336]]
[[0.2, 0.3333, 0.4667], [0.8, 0.6667, 0.5333]]
]
);
assert_eq!(
t2.to_vec3::<f32>()?,
to_vec3_round(t2, 4)?,
&[
// (3, 1, 4) / 8, (1, 5, 9) / 15
[[0.375, 0.125, 0.5], [0.06666667, 0.33333334, 0.6]],
[[0.375, 0.125, 0.5], [0.0667, 0.3333, 0.6]],
// (2, 1, 7) / 10, (8, 2, 8) / 18
[[0.2, 0.1, 0.6999999], [0.44444445, 0.11111111, 0.44444445]]
[[0.2, 0.1, 0.7], [0.4444, 0.1111, 0.4444]]
]
);
Ok(())
@ -218,35 +220,13 @@ fn cat(device: &Device) -> Result<()> {
Ok(())
}
macro_rules! test {
// TODO: Switch to generating the two last arguments automatically once concat_idents is
// stable. https://github.com/rust-lang/rust/issues/29599
($fn_name: ident, $test_cpu: ident, $test_cuda: ident) => {
#[test]
fn $test_cpu() -> Result<()> {
$fn_name(&Device::Cpu)
}
#[cfg(feature = "cuda")]
#[test]
fn $test_cuda() -> Result<()> {
$fn_name(&Device::new_cuda(0)?)
}
};
}
test!(zeros, zeros_cpu, zeros_gpu);
test!(add_mul, add_mul_cpu, add_mul_gpu);
test!(tensor_2d, tensor_2d_cpu, tensor_2d_gpu);
test!(narrow, narrow_cpu, narrow_gpu);
test!(broadcast, broadcast_cpu, broadcast_gpu);
test!(cat, cat_cpu, cat_gpu);
test!(sum, sum_cpu, sum_gpu);
test!(transpose, transpose_cpu, transpose_gpu);
test!(binary_op, binary_op_cpu, binary_op_gpu);
// TODO: Make the test less sensitive to numerical precision and enable on the gpu.
#[test]
fn softmax_cpu() -> Result<()> {
softmax(&Device::Cpu)
}
test_device!(zeros, zeros_cpu, zeros_gpu);
test_device!(add_mul, add_mul_cpu, add_mul_gpu);
test_device!(tensor_2d, tensor_2d_cpu, tensor_2d_gpu);
test_device!(narrow, narrow_cpu, narrow_gpu);
test_device!(broadcast, broadcast_cpu, broadcast_gpu);
test_device!(cat, cat_cpu, cat_gpu);
test_device!(sum, sum_cpu, sum_gpu);
test_device!(transpose, transpose_cpu, transpose_gpu);
test_device!(binary_op, binary_op_cpu, binary_op_gpu);
test_device!(softmax, softmax_cpu, softmax_gpu);