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Fix the matmul layout for accelerate & mkl. (#2011)

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* Fix the matmul layout for accelerate & mkl.

* Reduce the required precision for pow (because of accelerate).

* And a fix the gelu f16 test.
This commit is contained in:
Laurent Mazare
2024-04-04 19:18:03 +02:00
committed by GitHub
parent 5aebe53dd2
commit e6a5b82ba6
3 changed files with 8 additions and 26 deletions
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13
candle-core/tests/tensor_tests.rs
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@ -107,13 +107,8 @@ fn unary_op(device: &Device) -> Result<()> {
]
);
let t_f16 = tensor.to_dtype(DType::F16)?.gelu()?.to_dtype(DType::F32)?;
assert_eq!(
test_utils::to_vec2_round(&t_f16, 2)?,
[
[-0.0, 0.84, 4.0, -0.05, 0.35],
[2.69, -0.07, -0.11, 1.73, 2.79]
],
);
let max_diff = (tensor.gelu()? - t_f16)?.flatten_all()?.max(0)?;
assert!(max_diff.to_vec0::<f32>()? < 5e-3);
assert_eq!(
test_utils::to_vec2_round(&tensor.gelu_erf()?, 4)?,
[
@ -1255,8 +1250,8 @@ fn pow() -> Result<()> {
let rhs = (&lhs - 2.)?;
let res = lhs.pow(&rhs)?;
assert_eq!(
test_utils::to_vec2_round(&res, 4)?,
[[1.0, 1.0, 3.0], [16.0, 125.0, 1296.0001]]
test_utils::to_vec2_round(&res, 3)?,
[[1.0, 1.0, 3.0], [16.0, 125.0, 1296.0]]
);
Ok(())
}