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Use broadcasted scalars for const tensors.

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This commit is contained in:
laurent
2023-06-29 11:56:40 +01:00
parent 3872dc4751
commit 2741b39ad3
5 changed files with 12 additions and 14 deletions
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1
candle-core/tests/grad_tests.rs
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@ -20,7 +20,6 @@ fn matmul_grad(device: &Device) -> Result<()> {
let x = Tensor::var_from_slice(&data, (2, 2, 3), device)?;
let data: Vec<_> = (0..12).map(|i| i as f32).collect();
let y = Tensor::var_from_slice(&data, (2, 3, 2), device)?;
let c = x.matmul(&y)?;
let grads = c.backward()?;
let grad_x = grads.get(&x).context("no grad for x")?;

4
candle-core/tests/tensor_tests.rs
View File

@ -263,12 +263,12 @@ fn matmul(device: &Device) -> Result<()> {
let a_tt = a.t()?.contiguous()?.t()?;
assert!(!a_tt.is_contiguous());
assert_eq!(a.dims(), a_tt.dims());
assert_eq!(a_tt.stride_tmp(), &[6, 1, 2]);
assert_eq!(a_tt.stride(), &[6, 1, 2]);
let b_tt = b.t()?.contiguous()?.t()?;
assert!(!b_tt.is_contiguous());
assert_eq!(b.dims(), b_tt.dims());
assert_eq!(b_tt.stride_tmp(), &[6, 1, 3]);
assert_eq!(b_tt.stride(), &[6, 1, 3]);
assert_eq!(a_tt.matmul(&b)?.to_vec3::<f32>()?, &expected);
assert_eq!(a.matmul(&b_tt)?.to_vec3::<f32>()?, &expected);