burn-tensor 0.16.1

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

    #[test]
    fn test_sigmoid() {
        let tensor = TestTensor::<2>::from([[1.0, 7.0], [13.0, -3.0]]);

        let output = activation::sigmoid(tensor);
        let expected = TensorData::from([[0.7311, 0.9991], [1.0, 0.0474]]);

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

    #[test]
    fn test_sigmoid_overflow() {
        let tensor = TestTensor::<1>::from([FloatType::MAX, FloatType::MIN]);

        let output = activation::sigmoid(tensor);
        let expected = TensorData::from([1.0, 0.0]);

        output.into_data().assert_approx_eq(&expected, 4);
    }
}