Pytorch Torch Linalg Qr

📅 2026-06-22 | 📂 PyTorch

# QR Decomposition Q, R = torch.linalg.qr(A) print("Matrix A:") print(A) print("nOrthogonal Matrix Q:") print(Q) print("nUpper Triangular Matrix R:") print(R) print("nvalidation: Q @ R =") print(Q @ R)

Output result:

Matrix A: tensor([[ 12., -51., 4.], [ 6., 167., -68.], [ -4., 24., -41.]])Orthogonal Matrix Q: tensor([[-0.8571, 0.3943, 0.3314], [-0.4286, -0.9029, -0.0343], [ 0.2857, -0.1714, 0.9428]])Upper Triangular Matrix R: tensor([[ -14., -21., 14.], [ 0., -175., 70.], [ 0., 0., -35.]])validation: Q @ R = tensor([[ 12., -51., 4.], [ 6., 167., -68.], [ -4., 24., -41.]])

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Pytorch Torch Linalg Qr

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