xnn.common.models.d3.d3_r2r4#
- xnn.common.models.d3.d3_r2r4 = tensor([ 0.0000, 2.0073, 1.5664, 5.0199, 3.8538, 3.6445, 3.1049, 2.7118, 2.5936, 2.3883, 2.2152, 6.5859, 5.4630, 5.6522, 4.8828, 4.2973, 4.0411, 3.7293, 3.4468, 7.9776, 7.0762, 6.6084, 6.2879, 6.0773, 5.5464, 5.8049, 5.5842, 5.4137, 5.2850, 5.2259, 5.0982, 6.1215, 5.5408, 5.0670, 4.8701, 4.5909, 4.3118, 9.5546, 8.6740, 7.9721, 7.4344, 6.5871, 6.1954, 6.0152, 5.8162, 5.6571, 5.5264, 5.4426, 5.5829, 7.0208, 6.4682, 5.9809, 5.8169, 5.5332, 5.2548, 11.0220, 10.1568, 9.3517, 9.0693, 8.9724, 8.9009, 8.8598, 8.8174, 8.7932, 7.8997, 8.8059, 8.4244, 8.5429, 8.4758, 8.4509, 8.4734, 7.8353, 8.2070, 7.7056, 7.3276, 7.0389, 6.6898, 6.0545, 5.8875, 5.7066, 5.7845, 7.7978, 7.2644, 6.7815, 6.6788, 6.3902, 6.0953, 11.7916, 11.1100, 9.5138, 8.6720, 8.7714, 8.6540, 8.5392, 8.8502], dtype=torch.float64)#
element factors
sqrt(Q)enteringC8 = 3 C6 Q_i Q_j