diff options
Diffstat (limited to 'tests')
| -rw-r--r-- | tests/grad_tests.rs | 2 | ||||
| -rw-r--r-- | tests/tensor_tests.rs | 10 |
2 files changed, 6 insertions, 6 deletions
diff --git a/tests/grad_tests.rs b/tests/grad_tests.rs index 432b1520..56186e5d 100644 --- a/tests/grad_tests.rs +++ b/tests/grad_tests.rs @@ -3,7 +3,7 @@ use candle::{Device, Tensor}; #[test] fn simple_grad() -> Result<()> { - let x = Tensor::var(&[3f32, 1., 4.], Device::Cpu)?; + let x = Tensor::var(&[3f32, 1., 4.], &Device::Cpu)?; let y = (((&x * &x)? + &x * 5f64)? + 4f64)?; let grads = y.backward()?; let grad_x = grads.get(&x).context("no grad for x")?; diff --git a/tests/tensor_tests.rs b/tests/tensor_tests.rs index fb2d84d9..81c2e801 100644 --- a/tests/tensor_tests.rs +++ b/tests/tensor_tests.rs @@ -2,7 +2,7 @@ use candle::{DType, Device, Result, Tensor}; #[test] fn zeros() -> Result<()> { - let tensor = Tensor::zeros((5, 2), DType::F32, Device::Cpu)?; + let tensor = Tensor::zeros((5, 2), DType::F32, &Device::Cpu)?; let (dim1, dim2) = tensor.shape().r2()?; assert_eq!(dim1, 5); assert_eq!(dim2, 2); @@ -11,7 +11,7 @@ fn zeros() -> Result<()> { #[test] fn add_mul() -> Result<()> { - let tensor = Tensor::new(&[3f32, 1., 4.], Device::Cpu)?; + let tensor = Tensor::new(&[3f32, 1., 4.], &Device::Cpu)?; let dim1 = tensor.shape().r1()?; assert_eq!(dim1, 3); let content: Vec<f32> = tensor.to_vec1()?; @@ -28,7 +28,7 @@ fn add_mul() -> Result<()> { #[test] fn tensor_2d() -> Result<()> { let data = &[[3f32, 1., 4., 1., 5.], [2., 1., 7., 8., 2.]]; - let tensor = Tensor::new(data, Device::Cpu)?; + let tensor = Tensor::new(data, &Device::Cpu)?; let dims = tensor.shape().r2()?; assert_eq!(dims, (2, 5)); let content: Vec<Vec<f32>> = tensor.to_vec2()?; @@ -39,9 +39,9 @@ fn tensor_2d() -> Result<()> { #[test] fn binary_op() -> Result<()> { let data = &[[3f32, 1., 4., 1., 5.], [2., 1., 7., 8., 2.]]; - let tensor = Tensor::new(data, Device::Cpu)?; + let tensor = Tensor::new(data, &Device::Cpu)?; let data2 = &[[5f32, 5., 5., 5., 5.], [2., 1., 7., 8., 2.]]; - let tensor2 = Tensor::new(data2, Device::Cpu)?; + let tensor2 = Tensor::new(data2, &Device::Cpu)?; let tensor = (&tensor + (&tensor * &tensor)? / (&tensor + &tensor2))?; let dims = tensor.shape().r2()?; assert_eq!(dims, (2, 5)); |