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Fix the matmul layout for accelerate & mkl. (#2011)
* Fix the matmul layout for accelerate & mkl. * Reduce the required precision for pow (because of accelerate). * And a fix the gelu f16 test.
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@ -73,20 +73,7 @@ fn squeeze_mm(device: &Device) -> Result<()> {
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let seq_len = 8_usize;
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let a = Tensor::zeros((1, seq_len, 16), DType::F32, device)?;
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let x = a.i((.., seq_len - 1, ..))?;
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println!(
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"x shape:{:?}, stride:{:?}, is_contiguous:{}",
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x.shape(),
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x.stride(),
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x.is_contiguous()
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);
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let w = Tensor::zeros((32, 16), DType::F32, device)?.t()?;
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println!(
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"w shape:{:?}, stride:{:?}, is_contiguous:{}",
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w.shape(),
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w.stride(),
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w.is_contiguous()
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);
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let x = x.matmul(&w)?;
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assert_eq!(x.dims(), &[1, 32]);
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Ok(())
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@ -107,13 +107,8 @@ fn unary_op(device: &Device) -> Result<()> {
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]
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);
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let t_f16 = tensor.to_dtype(DType::F16)?.gelu()?.to_dtype(DType::F32)?;
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assert_eq!(
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test_utils::to_vec2_round(&t_f16, 2)?,
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[
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[-0.0, 0.84, 4.0, -0.05, 0.35],
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[2.69, -0.07, -0.11, 1.73, 2.79]
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],
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);
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let max_diff = (tensor.gelu()? - t_f16)?.flatten_all()?.max(0)?;
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assert!(max_diff.to_vec0::<f32>()? < 5e-3);
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assert_eq!(
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test_utils::to_vec2_round(&tensor.gelu_erf()?, 4)?,
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[
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@ -1255,8 +1250,8 @@ fn pow() -> Result<()> {
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let rhs = (&lhs - 2.)?;
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let res = lhs.pow(&rhs)?;
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assert_eq!(
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test_utils::to_vec2_round(&res, 4)?,
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[[1.0, 1.0, 3.0], [16.0, 125.0, 1296.0001]]
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test_utils::to_vec2_round(&res, 3)?,
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[[1.0, 1.0, 3.0], [16.0, 125.0, 1296.0]]
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);
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Ok(())
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}
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