burn-tensor 0.16.1

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

    #[test]
    fn test_softplus_d2() {
        let tensor =
            TestTensor::<2>::from([[-0.4240, -0.9574, -0.2215], [-0.5767, 0.7218, -0.1620]]);

        let output = activation::softplus(tensor.clone(), 1.0);
        let expected = TensorData::from([[0.5034, 0.3249, 0.5885], [0.4458, 1.1178, 0.6154]]);

        output.into_data().assert_approx_eq(&expected, 3);

        let output = activation::softplus(tensor, 2.0);
        let expected = TensorData::from([[0.1782, 0.0687, 0.2480], [0.1371, 0.8277, 0.2721]]);

        output.into_data().assert_approx_eq(&expected, 3);
    }
}