burn-tensor 0.16.1

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

    #[test]
    fn should_support_erf_ops() {
        let tensor = QTensor::<TestBackend, 2>::int8([[0.0, 1.0, 2.0], [3.0, 4.0, 5.0]]);

        let output = tensor.erf();
        let expected = TensorData::from([[0.0000, 0.8427, 0.9953], [1.0000, 1.0000, 1.0000]]);

        // Precision 1 to approximate de/quantization errors
        output
            .dequantize()
            .into_data()
            .assert_approx_eq(&expected, 1);
    }

    #[test]
    fn should_support_erf_ops_with_negative_number() {
        let tensor = QTensor::<TestBackend, 2>::int8([[-0.056, -0.043, -0.089], [3.0, 4.0, 5.0]]);

        let output = tensor.erf();
        let expected = TensorData::from([
            [-0.06312324, -0.048490416, -0.10016122],
            [1.0000, 1.0000, 1.0000],
        ]);

        // Precision 1 to approximate de/quantization errors
        output
            .dequantize()
            .into_data()
            .assert_approx_eq(&expected, 1);
    }
}