burn-tensor 0.16.1

Tensor library with user-friendly APIs and automatic differentiation support
Documentation 
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#[burn_tensor_testgen::testgen(arange_step)]
mod tests {
    use super::*;
    use burn_tensor::backend::Backend;
    use burn_tensor::{Int, Tensor, TensorData};

    #[test]
    fn test_arange_step() {
        let device = <TestBackend as Backend>::Device::default();

        // Test correct sequence of numbers when the range is 0..9 and the step is 1
        let tensor = TestTensorInt::<1>::arange_step(0..9, 1, &device);
        tensor
            .into_data()
            .assert_eq(&TensorData::from([0, 1, 2, 3, 4, 5, 6, 7, 8]), false);

        // Test correct sequence of numbers when the range is 0..3 and the step is 2
        let tensor = TestTensorInt::<1>::arange_step(0..3, 2, &device);
        tensor
            .into_data()
            .assert_eq(&TensorData::from([0, 2]), false);

        // Test correct sequence of numbers when the range is 0..2 and the step is 5
        let tensor = TestTensorInt::<1>::arange_step(0..2, 5, &device);
        tensor.into_data().assert_eq(&TensorData::from([0]), false);

        // Test correct sequence of numbers when the range includes negative numbers
        let tensor = TestTensorInt::<1>::arange_step(-3..3, 2, &device);
        tensor
            .into_data()
            .assert_eq(&TensorData::from([-3, -1, 1]), false);

        let tensor = TestTensorInt::<1>::arange_step(-5..1, 5, &device);
        tensor
            .clone()
            .into_data()
            .assert_eq(&TensorData::from([-5, 0]), false);
        assert_eq!(tensor.device(), device);
    }

    #[test]
    #[should_panic]
    fn should_panic_when_step_is_zero() {
        let device = <TestBackend as Backend>::Device::default();
        // Test that arange_step panics when the step is 0
        let _tensor = TestTensorInt::<1>::arange_step(0..3, 0, &device);
    }
}