//! 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
}