huggingface/candle
1
0
Fork 0
mirror of https://github.com/huggingface/candle.git synced 2025-06-17 02:58:50 +00:00
Code Issues Packages Projects Releases Wiki Activity

Use a reference for the device.

Browse Source
This commit is contained in:
laurent
2023-06-21 19:55:57 +01:00
parent deb6091099
commit fcb4e6b84f
5 changed files with 23 additions and 20 deletions
Download Patch File Download Diff File Expand all files Collapse all files

10
tests/tensor_tests.rs
View File

@ -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));