Function burn::tensor::check_closeness

pub fn check_closeness<B, const D: usize>(
    output: &Tensor<B, D>,
    expected: &Tensor<B, D>,
)
where
    B: Backend,

Checks the closeness of two tensors and prints the results.

Compares tensors by checking the absolute difference between each element. Prints the percentage of elements within specified tolerances.

Arguments

• output - The output tensor.
• expected - The expected tensor.

Example

use burn_tensor::backend::Backend;
use burn_tensor::{check_closeness, Tensor};

fn example<B: Backend>() {
    let device = Default::default();
    let tensor1 = Tensor::<B, 1>::from_floats(
        [1.0, 2.0, 3.0, 4.0, 5.0, 6.001, 7.002, 8.003, 9.004, 10.1],
        &device,
    );
    let tensor2 = Tensor::<B, 1>::from_floats(
        [1.0, 2.0, 3.0, 4.000, 5.0, 6.0, 7.001, 8.002, 9.003, 10.004],
        &device,
    );
   check_closeness(&tensor1, &tensor2);
}

Output

Tensor Closeness Check Results:
===============================
Epsilon: 1e-1
  Close elements: 10/10 (100.00%)
  [PASS] All elements are within tolerance

Epsilon: 1e-2
  Close elements: 10/10 (100.00%)
  [PASS] All elements are within tolerance

Epsilon: 1e-3
  Close elements: 9/10 (90.00%)
  [WARN] Most elements are within tolerance

Epsilon: 1e-4
  Close elements: 6/10 (60.00%)
  [FAIL] Significant differences detected

Epsilon: 1e-5
  Close elements: 5/10 (50.00%)
  [FAIL] Significant differences detected

Epsilon: 1e-6
  Close elements: 5/10 (50.00%)
  [FAIL] Significant differences detected

Epsilon: 1e-7
  Close elements: 5/10 (50.00%)
  [FAIL] Significant differences detected

Epsilon: 1e-8
  Close elements: 5/10 (50.00%)
  [FAIL] Significant differences detected

Closeness check complete.