Files
rustytorch/crates/models/rtx-vision/tests/tensor_operations_test.rs
T
2026-03-04 00:08:42 +00:00

39 lines
1.2 KiB
Rust

//! TDD tests for tensor operations needed by rtx-vision
//! These tests define expected behavior for tensor operations
use rtx_tensor::{DType, Device, Tensor};
#[test]
fn test_tensor_cat_operation() {
// Test that we can concatenate tensors
// The actual rtx-tensor might have a different signature than PyTorch
let device = Device::cpu();
let t1 = Tensor::zeros(&[2, 3], &device).unwrap();
let t2 = Tensor::zeros(&[2, 3], &device).unwrap();
// We need to check what signature Tensor::cat actually has
// It might not take a slice of references
assert!(true); // Placeholder - actual test would verify concatenation
}
#[test]
fn test_tensor_randn_operation() {
// Test creating random tensors
let device = Device::cpu();
let shape = vec![2, 3, 4];
// Check what Tensor::randn actually expects
// It might need a different shape format
assert!(true); // Placeholder - actual test would verify random tensor creation
}
#[test]
fn test_tensor_shape_access() {
// Test how to access tensor shape
let device = Device::cpu();
let t = Tensor::zeros(&[2, 3], &device).unwrap();
// Need to understand how to get shape from tensor
assert!(true); // Placeholder
}