add specs for triangular_solve and linalg_solve_triangular by rsdcastro · Pull Request #59 · meta-pytorch/FACTO

rsdcastro · 2026-01-31T00:09:59Z

Tested with calibrator (CPU, GPU) & through BackendBench (GPU).

Note: calibrator GPU fails with an error similar to some other ops, that seems unrelated to this PR as it runs fine on BackendBench (Expected all tensors to be on the same device, but found at least two devices, cuda:0 and cpu!)

$ PYTHONPATH=.:$PYTHONPATH python calibrator/runner.py triangular_solve.default
Running op: triangular_solve.default, meta_tuple: ['ArgType.Tensor torch.float32 (3, 6, 0, 1, 8, 4)', 'ArgType.Tensor torch.float32 (1, 6, 8, 8)', 'ArgType.Bool True', 'ArgType.Bool True', 'ArgType.Bool True']
[W130 16:08:09.421262372 BatchLinearAlgebra.cpp:2264] Warning: torch.triangular_solve is deprecated in favor of torch.linalg.solve_triangularand will be removed in a future PyTorch release.
torch.linalg.solve_triangular has its arguments reversed and does not return a copy of one of the inputs.
X = torch.triangular_solve(B, A).solution
should be replaced with
X = torch.linalg.solve_triangular(A, B). (function operator())
Running op: triangular_solve.default, meta_tuple: ['ArgType.Tensor torch.float64 (0, 3, 0)', 'ArgType.Tensor torch.float64 (0, 3, 3)', 'ArgType.Bool True', 'ArgType.Bool False', 'ArgType.Bool False']
Running op: triangular_solve.default, meta_tuple: ['ArgType.Tensor torch.float32 (0, 8)', 'ArgType.Tensor torch.float32 (1, 2, 0, 0)', 'ArgType.Bool True', 'ArgType.Bool False', 'ArgType.Bool True']
Running op: triangular_solve.default, meta_tuple: ['ArgType.Tensor torch.float64 (5, 7, 0)', 'ArgType.Tensor torch.float64 (8, 5, 1, 1, 7, 7)', 'ArgType.Bool False', 'ArgType.Bool False', 'ArgType.Bool True']
Running op: triangular_solve.default, meta_tuple: ['ArgType.Tensor torch.float32 (8, 0, 0, 4)', 'ArgType.Tensor torch.float32 (0, 0)', 'ArgType.Bool True', 'ArgType.Bool True', 'ArgType.Bool False']
Running op: triangular_solve.default, meta_tuple: ['ArgType.Tensor torch.float64 (1, 8, 3, 2, 6, 6)', 'ArgType.Tensor torch.float64 (6, 8, 1, 2, 6, 6)', 'ArgType.Bool False', 'ArgType.Bool False', 'ArgType.Bool False']
Running op: triangular_solve.default, meta_tuple: ['ArgType.Tensor torch.float32 (0, 1, 1)', 'ArgType.Tensor torch.float32 (8, 3, 1, 1, 1)', 'ArgType.Bool False', 'ArgType.Bool False', 'ArgType.Bool True']
Running op: triangular_solve.default, meta_tuple: ['ArgType.Tensor torch.float32 (5, 1, 1)', 'ArgType.Tensor torch.float32 (2, 5, 1, 1)', 'ArgType.Bool False', 'ArgType.Bool True', 'ArgType.Bool False']
Running op: triangular_solve.default, meta_tuple: ['ArgType.Tensor torch.float64 (7, 1, 1)', 'ArgType.Tensor torch.float64 (7, 1, 1)', 'ArgType.Bool False', 'ArgType.Bool True', 'ArgType.Bool False']
Running op: triangular_solve.default, meta_tuple: ['ArgType.Tensor torch.float64 (8, 1, 1)', 'ArgType.Tensor torch.float64 (0, 1, 1, 1)', 'ArgType.Bool False', 'ArgType.Bool True', 'ArgType.Bool True']
Running op: triangular_solve.default, meta_tuple: ['ArgType.Tensor torch.float64 (8, 0, 3)', 'ArgType.Tensor torch.float64 (8, 6, 4, 8, 0, 0)', 'ArgType.Bool False', 'ArgType.Bool False', 'ArgType.Bool True']
Running op: triangular_solve.default, meta_tuple: ['ArgType.Tensor torch.float32 (8, 2, 3)', 'ArgType.Tensor torch.float32 (4, 3, 6, 1, 2, 2)', 'ArgType.Bool False', 'ArgType.Bool False', 'ArgType.Bool False']
Running op: triangular_solve.default, meta_tuple: ['ArgType.Tensor torch.float64 (8, 3, 3)', 'ArgType.Tensor torch.float64 (8, 3, 3)', 'ArgType.Bool False', 'ArgType.Bool True', 'ArgType.Bool False']
Running op: triangular_solve.default, meta_tuple: ['ArgType.Tensor torch.float64 (8, 8, 3)', 'ArgType.Tensor torch.float64 (8, 8, 8)', 'ArgType.Bool False', 'ArgType.Bool True', 'ArgType.Bool False']
Running op: triangular_solve.default, meta_tuple: ['ArgType.Tensor torch.float64 (8, 3, 0)', 'ArgType.Tensor torch.float64 (5, 8, 0, 1, 3, 3)', 'ArgType.Bool True', 'ArgType.Bool False', 'ArgType.Bool False']
Running op: triangular_solve.default, meta_tuple: ['ArgType.Tensor torch.float32 (8, 3, 3)', 'ArgType.Tensor torch.float32 (5, 4, 0, 1, 3, 3)', 'ArgType.Bool True', 'ArgType.Bool True', 'ArgType.Bool False']
Running op: triangular_solve.default, meta_tuple: ['ArgType.Tensor torch.float32 (8, 3, 4)', 'ArgType.Tensor torch.float32 (0, 1, 6, 1, 3, 3)', 'ArgType.Bool False', 'ArgType.Bool False', 'ArgType.Bool True']
Running op: triangular_solve.default, meta_tuple: ['ArgType.Tensor torch.float32 (8, 3, 8)', 'ArgType.Tensor torch.float32 (8, 8, 3, 3)', 'ArgType.Bool False', 'ArgType.Bool True', 'ArgType.Bool False']
Running op: triangular_solve.default, meta_tuple: ['ArgType.Tensor torch.float64 (0, 2, 4, 4, 4)', 'ArgType.Tensor torch.float64 (4, 4)', 'ArgType.Bool False', 'ArgType.Bool True', 'ArgType.Bool False']
Running op: triangular_solve.default, meta_tuple: ['ArgType.Tensor torch.float32 (5, 7)', 'ArgType.Tensor torch.float32 (8, 8, 0, 8, 5, 5)', 'ArgType.Bool False', 'ArgType.Bool False', 'ArgType.Bool True']
Running op: triangular_solve.default, meta_tuple: ['ArgType.Tensor torch.float32 (5, 7)', 'ArgType.Tensor torch.float32 (5, 5)', 'ArgType.Bool False', 'ArgType.Bool False', 'ArgType.Bool False']
Running op: triangular_solve.default, meta_tuple: ['ArgType.Tensor torch.float32 (5, 7)', 'ArgType.Tensor torch.float32 (2, 5, 5)', 'ArgType.Bool True', 'ArgType.Bool True', 'ArgType.Bool False']
Running op: triangular_solve.default, meta_tuple: ['ArgType.Tensor torch.float32 (5, 7)', 'ArgType.Tensor torch.float32 (4, 8, 5, 5)', 'ArgType.Bool True', 'ArgType.Bool True', 'ArgType.Bool False']
Running op: triangular_solve.default, meta_tuple: ['ArgType.Tensor torch.float32 (5, 7)', 'ArgType.Tensor torch.float32 (2, 0, 7, 8, 5, 5)', 'ArgType.Bool True', 'ArgType.Bool False', 'ArgType.Bool True']
Running op: triangular_solve.default, meta_tuple: ['ArgType.Tensor torch.float32 (5, 7)', 'ArgType.Tensor torch.float32 (5, 5)', 'ArgType.Bool False', 'ArgType.Bool True', 'ArgType.Bool False']
Running op: triangular_solve.default, meta_tuple: ['ArgType.Tensor torch.float32 (5, 7)', 'ArgType.Tensor torch.float32 (5, 5)', 'ArgType.Bool False', 'ArgType.Bool True', 'ArgType.Bool False']
WARNING:root:Repeated meta_tuple ['ArgType.Tensor torch.float32 (5, 7)', 'ArgType.Tensor torch.float32 (5, 5)', 'ArgType.Bool False', 'ArgType.Bool True', 'ArgType.Bool False']
Running op: triangular_solve.default, meta_tuple: ['ArgType.Tensor torch.float32 (5, 7)', 'ArgType.Tensor torch.float32 (5, 5)', 'ArgType.Bool False', 'ArgType.Bool True', 'ArgType.Bool True']
Running op: triangular_solve.default, meta_tuple: ['ArgType.Tensor torch.float32 (0, 2, 0, 2, 2, 2)', 'ArgType.Tensor torch.float32 (1, 0, 1, 2, 2)', 'ArgType.Bool False', 'ArgType.Bool False', 'ArgType.Bool True']
Running op: triangular_solve.default, meta_tuple: ['ArgType.Tensor torch.float32 (0, 2, 0, 2, 2, 2)', 'ArgType.Tensor torch.float32 (1, 0, 1, 2, 2)', 'ArgType.Bool True', 'ArgType.Bool True', 'ArgType.Bool False']
Running op: triangular_solve.default, meta_tuple: ['ArgType.Tensor torch.float64 (8, 5, 8)', 'ArgType.Tensor torch.float64 (8, 5, 5)', 'ArgType.Bool False', 'ArgType.Bool False', 'ArgType.Bool False']
Running op: triangular_solve.default, meta_tuple: ['ArgType.Tensor torch.float64 (8, 5, 8)', 'ArgType.Tensor torch.float64 (8, 5, 5)', 'ArgType.Bool False', 'ArgType.Bool True', 'ArgType.Bool True']
Running op: triangular_solve.default, meta_tuple: ['ArgType.Tensor torch.float64 (8, 8, 0, 0, 5, 3)', 'ArgType.Tensor torch.float64 (1, 1, 5, 5)', 'ArgType.Bool False', 'ArgType.Bool True', 'ArgType.Bool False']
Running op: triangular_solve.default, meta_tuple: ['ArgType.Tensor torch.float64 (8, 8, 0, 0, 5, 3)', 'ArgType.Tensor torch.float64 (1, 1, 5, 5)', 'ArgType.Bool False', 'ArgType.Bool True', 'ArgType.Bool True']
Device: cpu

SUCCESS

$ PYTHONPATH=.:$PYTHONPATH python calibrator/runner.py triangular_solve.default --devices cuda
Running op: triangular_solve.default, meta_tuple: ['ArgType.Tensor torch.float32 (3, 6, 0, 1, 8, 4)', 'ArgType.Tensor torch.float32 (1, 6, 8, 8)', 'ArgType.Bool True', 'ArgType.Bool True', 'ArgType.Bool True']
[W130 16:08:17.573259107 BatchLinearAlgebra.cpp:2264] Warning: torch.triangular_solve is deprecated in favor of torch.linalg.solve_triangularand will be removed in a future PyTorch release.
torch.linalg.solve_triangular has its arguments reversed and does not return a copy of one of the inputs.
X = torch.triangular_solve(B, A).solution
should be replaced with
X = torch.linalg.solve_triangular(A, B). (function operator())
Running op: triangular_solve.default, meta_tuple: ['ArgType.Tensor torch.float64 (0, 3, 0)', 'ArgType.Tensor torch.float64 (0, 3, 3)', 'ArgType.Bool True', 'ArgType.Bool False', 'ArgType.Bool False']
Running op: triangular_solve.default, meta_tuple: ['ArgType.Tensor torch.float32 (0, 8)', 'ArgType.Tensor torch.float32 (1, 2, 0, 0)', 'ArgType.Bool True', 'ArgType.Bool False', 'ArgType.Bool True']
Running op: triangular_solve.default, meta_tuple: ['ArgType.Tensor torch.float64 (5, 7, 0)', 'ArgType.Tensor torch.float64 (8, 5, 1, 1, 7, 7)', 'ArgType.Bool False', 'ArgType.Bool False', 'ArgType.Bool True']
Running op: triangular_solve.default, meta_tuple: ['ArgType.Tensor torch.float32 (8, 0, 0, 4)', 'ArgType.Tensor torch.float32 (0, 0)', 'ArgType.Bool True', 'ArgType.Bool True', 'ArgType.Bool False']
Running op: triangular_solve.default, meta_tuple: ['ArgType.Tensor torch.float64 (1, 8, 3, 2, 6, 6)', 'ArgType.Tensor torch.float64 (6, 8, 1, 2, 6, 6)', 'ArgType.Bool False', 'ArgType.Bool False', 'ArgType.Bool False']
Running op: triangular_solve.default, meta_tuple: ['ArgType.Tensor torch.float32 (0, 1, 1)', 'ArgType.Tensor torch.float32 (8, 3, 1, 1, 1)', 'ArgType.Bool False', 'ArgType.Bool False', 'ArgType.Bool True']
Running op: triangular_solve.default, meta_tuple: ['ArgType.Tensor torch.float32 (5, 1, 1)', 'ArgType.Tensor torch.float32 (2, 5, 1, 1)', 'ArgType.Bool False', 'ArgType.Bool True', 'ArgType.Bool False']
Running op: triangular_solve.default, meta_tuple: ['ArgType.Tensor torch.float64 (7, 1, 1)', 'ArgType.Tensor torch.float64 (7, 1, 1)', 'ArgType.Bool False', 'ArgType.Bool True', 'ArgType.Bool False']
Running op: triangular_solve.default, meta_tuple: ['ArgType.Tensor torch.float64 (8, 1, 1)', 'ArgType.Tensor torch.float64 (0, 1, 1, 1)', 'ArgType.Bool False', 'ArgType.Bool True', 'ArgType.Bool True']
Running op: triangular_solve.default, meta_tuple: ['ArgType.Tensor torch.float64 (8, 0, 3)', 'ArgType.Tensor torch.float64 (8, 6, 4, 8, 0, 0)', 'ArgType.Bool False', 'ArgType.Bool False', 'ArgType.Bool True']
Running op: triangular_solve.default, meta_tuple: ['ArgType.Tensor torch.float32 (8, 2, 3)', 'ArgType.Tensor torch.float32 (4, 3, 6, 1, 2, 2)', 'ArgType.Bool False', 'ArgType.Bool False', 'ArgType.Bool False']
Running op: triangular_solve.default, meta_tuple: ['ArgType.Tensor torch.float64 (8, 3, 3)', 'ArgType.Tensor torch.float64 (8, 3, 3)', 'ArgType.Bool False', 'ArgType.Bool True', 'ArgType.Bool False']
Running op: triangular_solve.default, meta_tuple: ['ArgType.Tensor torch.float64 (8, 8, 3)', 'ArgType.Tensor torch.float64 (8, 8, 8)', 'ArgType.Bool False', 'ArgType.Bool True', 'ArgType.Bool False']
Running op: triangular_solve.default, meta_tuple: ['ArgType.Tensor torch.float64 (8, 3, 0)', 'ArgType.Tensor torch.float64 (5, 8, 0, 1, 3, 3)', 'ArgType.Bool True', 'ArgType.Bool False', 'ArgType.Bool False']
Running op: triangular_solve.default, meta_tuple: ['ArgType.Tensor torch.float32 (8, 3, 3)', 'ArgType.Tensor torch.float32 (5, 4, 0, 1, 3, 3)', 'ArgType.Bool True', 'ArgType.Bool True', 'ArgType.Bool False']
Running op: triangular_solve.default, meta_tuple: ['ArgType.Tensor torch.float32 (8, 3, 4)', 'ArgType.Tensor torch.float32 (0, 1, 6, 1, 3, 3)', 'ArgType.Bool False', 'ArgType.Bool False', 'ArgType.Bool True']
Running op: triangular_solve.default, meta_tuple: ['ArgType.Tensor torch.float32 (8, 3, 8)', 'ArgType.Tensor torch.float32 (8, 8, 3, 3)', 'ArgType.Bool False', 'ArgType.Bool True', 'ArgType.Bool False']
Running op: triangular_solve.default, meta_tuple: ['ArgType.Tensor torch.float64 (0, 2, 4, 4, 4)', 'ArgType.Tensor torch.float64 (4, 4)', 'ArgType.Bool False', 'ArgType.Bool True', 'ArgType.Bool False']
Running op: triangular_solve.default, meta_tuple: ['ArgType.Tensor torch.float32 (5, 7)', 'ArgType.Tensor torch.float32 (8, 8, 0, 8, 5, 5)', 'ArgType.Bool False', 'ArgType.Bool False', 'ArgType.Bool True']
Running op: triangular_solve.default, meta_tuple: ['ArgType.Tensor torch.float32 (5, 7)', 'ArgType.Tensor torch.float32 (5, 5)', 'ArgType.Bool False', 'ArgType.Bool False', 'ArgType.Bool False']
Running op: triangular_solve.default, meta_tuple: ['ArgType.Tensor torch.float32 (5, 7)', 'ArgType.Tensor torch.float32 (2, 5, 5)', 'ArgType.Bool True', 'ArgType.Bool True', 'ArgType.Bool False']
Running op: triangular_solve.default, meta_tuple: ['ArgType.Tensor torch.float32 (5, 7)', 'ArgType.Tensor torch.float32 (4, 8, 5, 5)', 'ArgType.Bool True', 'ArgType.Bool True', 'ArgType.Bool False']
Running op: triangular_solve.default, meta_tuple: ['ArgType.Tensor torch.float32 (5, 7)', 'ArgType.Tensor torch.float32 (2, 0, 7, 8, 5, 5)', 'ArgType.Bool True', 'ArgType.Bool False', 'ArgType.Bool True']
Running op: triangular_solve.default, meta_tuple: ['ArgType.Tensor torch.float32 (5, 7)', 'ArgType.Tensor torch.float32 (5, 5)', 'ArgType.Bool False', 'ArgType.Bool True', 'ArgType.Bool False']
Running op: triangular_solve.default, meta_tuple: ['ArgType.Tensor torch.float32 (5, 7)', 'ArgType.Tensor torch.float32 (5, 5)', 'ArgType.Bool False', 'ArgType.Bool True', 'ArgType.Bool False']
WARNING:root:Repeated meta_tuple ['ArgType.Tensor torch.float32 (5, 7)', 'ArgType.Tensor torch.float32 (5, 5)', 'ArgType.Bool False', 'ArgType.Bool True', 'ArgType.Bool False']
Running op: triangular_solve.default, meta_tuple: ['ArgType.Tensor torch.float32 (5, 7)', 'ArgType.Tensor torch.float32 (5, 5)', 'ArgType.Bool False', 'ArgType.Bool True', 'ArgType.Bool True']
Running op: triangular_solve.default, meta_tuple: ['ArgType.Tensor torch.float32 (0, 2, 0, 2, 2, 2)', 'ArgType.Tensor torch.float32 (1, 0, 1, 2, 2)', 'ArgType.Bool False', 'ArgType.Bool False', 'ArgType.Bool True']
Running op: triangular_solve.default, meta_tuple: ['ArgType.Tensor torch.float32 (0, 2, 0, 2, 2, 2)', 'ArgType.Tensor torch.float32 (1, 0, 1, 2, 2)', 'ArgType.Bool True', 'ArgType.Bool True', 'ArgType.Bool False']
Running op: triangular_solve.default, meta_tuple: ['ArgType.Tensor torch.float64 (8, 5, 8)', 'ArgType.Tensor torch.float64 (8, 5, 5)', 'ArgType.Bool False', 'ArgType.Bool False', 'ArgType.Bool False']
Running op: triangular_solve.default, meta_tuple: ['ArgType.Tensor torch.float64 (8, 5, 8)', 'ArgType.Tensor torch.float64 (8, 5, 5)', 'ArgType.Bool False', 'ArgType.Bool True', 'ArgType.Bool True']
Running op: triangular_solve.default, meta_tuple: ['ArgType.Tensor torch.float64 (8, 8, 0, 0, 5, 3)', 'ArgType.Tensor torch.float64 (1, 1, 5, 5)', 'ArgType.Bool False', 'ArgType.Bool True', 'ArgType.Bool False']
Running op: triangular_solve.default, meta_tuple: ['ArgType.Tensor torch.float64 (8, 8, 0, 0, 5, 3)', 'ArgType.Tensor torch.float64 (1, 1, 5, 5)', 'ArgType.Bool False', 'ArgType.Bool True', 'ArgType.Bool True']
Device: cuda

SUCCESS

$ PYTHONPATH=.:$PYTHONPATH python calibrator/runner.py linalg_solve_triangular.default 
Running op: linalg_solve_triangular.default, meta_tuple: ['ArgType.Tensor torch.float32 (3, 1, 0, 3, 8, 8)', 'ArgType.Tensor torch.float32 (3, 6, 0, 1, 8, 4)', 'ArgType.Bool True', 'ArgType.Bool True', 'ArgType.Bool False']
Running op: linalg_solve_triangular.default, meta_tuple: ['ArgType.Tensor torch.float32 (8, 8)', 'ArgType.Tensor torch.float32 (3, 6, 0, 1, 8, 4)', 'ArgType.Bool False', 'ArgType.Bool True', 'ArgType.Bool False']
Running op: linalg_solve_triangular.default, meta_tuple: ['ArgType.Tensor torch.float32 (1, 1, 8, 8)', 'ArgType.Tensor torch.float32 (3, 6, 0, 1, 8, 4)', 'ArgType.Bool True', 'ArgType.Bool True', 'ArgType.Bool True']
Running op: linalg_solve_triangular.default, meta_tuple: ['ArgType.Tensor torch.float32 (6, 0, 8, 8, 8)', 'ArgType.Tensor torch.float32 (3, 6, 0, 1, 8, 4)', 'ArgType.Bool False', 'ArgType.Bool True', 'ArgType.Bool False']
Running op: linalg_solve_triangular.default, meta_tuple: ['ArgType.Tensor torch.float32 (1, 1, 1, 7, 8, 8)', 'ArgType.Tensor torch.float32 (3, 6, 0, 1, 8, 4)', 'ArgType.Bool False', 'ArgType.Bool True', 'ArgType.Bool True']
Running op: linalg_solve_triangular.default, meta_tuple: ['ArgType.Tensor torch.float32 (1, 1, 1, 8, 8, 8)', 'ArgType.Tensor torch.float32 (3, 6, 0, 1, 8, 4)', 'ArgType.Bool True', 'ArgType.Bool True', 'ArgType.Bool True']
Running op: linalg_solve_triangular.default, meta_tuple: ['ArgType.Tensor torch.float32 (3, 1, 1, 8, 8, 8)', 'ArgType.Tensor torch.float32 (3, 6, 0, 1, 8, 4)', 'ArgType.Bool False', 'ArgType.Bool True', 'ArgType.Bool False']
Running op: linalg_solve_triangular.default, meta_tuple: ['ArgType.Tensor torch.float32 (3, 1, 1, 4, 8, 8)', 'ArgType.Tensor torch.float32 (3, 6, 0, 1, 8, 4)', 'ArgType.Bool True', 'ArgType.Bool True', 'ArgType.Bool False']
Running op: linalg_solve_triangular.default, meta_tuple: ['ArgType.Tensor torch.float32 (3, 6, 1, 4, 8, 8)', 'ArgType.Tensor torch.float32 (3, 6, 0, 1, 8, 4)', 'ArgType.Bool True', 'ArgType.Bool True', 'ArgType.Bool True']
Running op: linalg_solve_triangular.default, meta_tuple: ['ArgType.Tensor torch.float32 (1, 1, 0, 6, 8, 8)', 'ArgType.Tensor torch.float32 (3, 6, 0, 1, 8, 4)', 'ArgType.Bool False', 'ArgType.Bool True', 'ArgType.Bool False']
Running op: linalg_solve_triangular.default, meta_tuple: ['ArgType.Tensor torch.float32 (1, 1, 1, 6, 8, 8)', 'ArgType.Tensor torch.float32 (3, 6, 0, 1, 8, 4)', 'ArgType.Bool False', 'ArgType.Bool True', 'ArgType.Bool True']
Running op: linalg_solve_triangular.default, meta_tuple: ['ArgType.Tensor torch.float32 (1, 1, 0, 0, 8, 8)', 'ArgType.Tensor torch.float32 (3, 6, 0, 1, 8, 4)', 'ArgType.Bool True', 'ArgType.Bool True', 'ArgType.Bool True']
Running op: linalg_solve_triangular.default, meta_tuple: ['ArgType.Tensor torch.float32 (1, 1, 0, 1, 8, 8)', 'ArgType.Tensor torch.float32 (3, 6, 0, 1, 8, 4)', 'ArgType.Bool False', 'ArgType.Bool True', 'ArgType.Bool True']
Running op: linalg_solve_triangular.default, meta_tuple: ['ArgType.Tensor torch.float32 (1, 1, 0, 6, 8, 8)', 'ArgType.Tensor torch.float32 (3, 6, 0, 1, 8, 4)', 'ArgType.Bool False', 'ArgType.Bool True', 'ArgType.Bool True']
Running op: linalg_solve_triangular.default, meta_tuple: ['ArgType.Tensor torch.float32 (1, 1, 0, 8, 8, 8)', 'ArgType.Tensor torch.float32 (3, 6, 0, 1, 8, 4)', 'ArgType.Bool False', 'ArgType.Bool True', 'ArgType.Bool False']
Running op: linalg_solve_triangular.default, meta_tuple: ['ArgType.Tensor torch.float32 (1, 6, 0, 0, 8, 8)', 'ArgType.Tensor torch.float32 (3, 6, 0, 1, 8, 4)', 'ArgType.Bool False', 'ArgType.Bool True', 'ArgType.Bool False']
Running op: linalg_solve_triangular.default, meta_tuple: ['ArgType.Tensor torch.float32 (3, 1, 1, 7, 8, 8)', 'ArgType.Tensor torch.float32 (3, 6, 0, 1, 8, 4)', 'ArgType.Bool True', 'ArgType.Bool True', 'ArgType.Bool False']
Running op: linalg_solve_triangular.default, meta_tuple: ['ArgType.Tensor torch.float32 (3, 1, 1, 6, 8, 8)', 'ArgType.Tensor torch.float32 (3, 6, 0, 1, 8, 4)', 'ArgType.Bool False', 'ArgType.Bool True', 'ArgType.Bool False']
Running op: linalg_solve_triangular.default, meta_tuple: ['ArgType.Tensor torch.float32 (1, 3, 3)', 'ArgType.Tensor torch.float32 (8, 8, 3)', 'ArgType.Bool True', 'ArgType.Bool False', 'ArgType.Bool True']
Running op: linalg_solve_triangular.default, meta_tuple: ['ArgType.Tensor torch.float64 (1, 1, 1, 1, 3, 3)', 'ArgType.Tensor torch.float64 (7, 6, 4, 6, 3, 8)', 'ArgType.Bool False', 'ArgType.Bool True', 'ArgType.Bool False']
Running op: linalg_solve_triangular.default, meta_tuple: ['ArgType.Tensor torch.float32 (6, 8, 8, 8, 5, 5)', 'ArgType.Tensor torch.float32 (5, 4)', 'ArgType.Bool True', 'ArgType.Bool True', 'ArgType.Bool True']
Running op: linalg_solve_triangular.default, meta_tuple: ['ArgType.Tensor torch.float32 (1, 1, 0, 8, 7, 7)', 'ArgType.Tensor torch.float32 (8, 8, 7)', 'ArgType.Bool False', 'ArgType.Bool False', 'ArgType.Bool False']
Running op: linalg_solve_triangular.default, meta_tuple: ['ArgType.Tensor torch.float64 (1, 7, 1, 2, 2)', 'ArgType.Tensor torch.float64 (1, 8, 1, 2)', 'ArgType.Bool True', 'ArgType.Bool False', 'ArgType.Bool True']
Running op: linalg_solve_triangular.default, meta_tuple: ['ArgType.Tensor torch.float32 (8, 8, 5, 6, 4, 4)', 'ArgType.Tensor torch.float32 (8, 8, 5, 1, 4, 4)', 'ArgType.Bool True', 'ArgType.Bool False', 'ArgType.Bool False']
Running op: linalg_solve_triangular.default, meta_tuple: ['ArgType.Tensor torch.float64 (1, 0, 6, 1, 1, 1)', 'ArgType.Tensor torch.float64 (0, 0, 6, 0, 1, 0)', 'ArgType.Bool False', 'ArgType.Bool True', 'ArgType.Bool True']
Running op: linalg_solve_triangular.default, meta_tuple: ['ArgType.Tensor torch.float64 (1, 0, 0, 0)', 'ArgType.Tensor torch.float64 (5, 0, 6, 0, 1, 0)', 'ArgType.Bool True', 'ArgType.Bool False', 'ArgType.Bool False']
Running op: linalg_solve_triangular.default, meta_tuple: ['ArgType.Tensor torch.float64 (1, 1, 6, 0, 0, 0)', 'ArgType.Tensor torch.float64 (6, 0, 6, 0, 1, 0)', 'ArgType.Bool True', 'ArgType.Bool False', 'ArgType.Bool False']
Running op: linalg_solve_triangular.default, meta_tuple: ['ArgType.Tensor torch.float64 (8, 0, 6, 1, 0, 0)', 'ArgType.Tensor torch.float64 (8, 0, 6, 0, 1, 0)', 'ArgType.Bool False', 'ArgType.Bool False', 'ArgType.Bool False']
Running op: linalg_solve_triangular.default, meta_tuple: ['ArgType.Tensor torch.float32 (7, 7)', 'ArgType.Tensor torch.float32 (2, 0, 8, 0, 7, 0)', 'ArgType.Bool False', 'ArgType.Bool True', 'ArgType.Bool True']
Running op: linalg_solve_triangular.default, meta_tuple: ['ArgType.Tensor torch.float64 (1, 3, 8, 1, 0, 0)', 'ArgType.Tensor torch.float64 (2, 3, 8, 0, 7, 0)', 'ArgType.Bool False', 'ArgType.Bool False', 'ArgType.Bool False']
Running op: linalg_solve_triangular.default, meta_tuple: ['ArgType.Tensor torch.float64 (8, 0, 0, 0)', 'ArgType.Tensor torch.float64 (2, 6, 8, 0, 7, 0)', 'ArgType.Bool False', 'ArgType.Bool False', 'ArgType.Bool False']
Running op: linalg_solve_triangular.default, meta_tuple: ['ArgType.Tensor torch.float32 (7, 7)', 'ArgType.Tensor torch.float32 (2, 8, 8, 0, 7, 0)', 'ArgType.Bool True', 'ArgType.Bool True', 'ArgType.Bool True']
Running op: linalg_solve_triangular.default, meta_tuple: ['ArgType.Tensor torch.float32 (6, 2, 2)', 'ArgType.Tensor torch.float32 (8, 6, 0, 6, 2, 4)', 'ArgType.Bool True', 'ArgType.Bool True', 'ArgType.Bool True']
Running op: linalg_solve_triangular.default, meta_tuple: ['ArgType.Tensor torch.float32 (8, 1, 4, 6, 2, 2)', 'ArgType.Tensor torch.float32 (8, 6, 4, 6, 2, 4)', 'ArgType.Bool True', 'ArgType.Bool True', 'ArgType.Bool False']
Running op: linalg_solve_triangular.default, meta_tuple: ['ArgType.Tensor torch.float32 (1, 1, 6, 4, 4)', 'ArgType.Tensor torch.float32 (8, 6, 5, 6, 2, 4)', 'ArgType.Bool True', 'ArgType.Bool False', 'ArgType.Bool False']
Running op: linalg_solve_triangular.default, meta_tuple: ['ArgType.Tensor torch.float64 (8, 6, 4, 4)', 'ArgType.Tensor torch.float64 (8, 6, 8, 6, 2, 4)', 'ArgType.Bool True', 'ArgType.Bool False', 'ArgType.Bool True']
Running op: linalg_solve_triangular.default, meta_tuple: ['ArgType.Tensor torch.float32 (1, 1, 1, 1, 0, 0)', 'ArgType.Tensor torch.float32 (0, 3, 2, 0, 0, 3)', 'ArgType.Bool False', 'ArgType.Bool True', 'ArgType.Bool False']
Running op: linalg_solve_triangular.default, meta_tuple: ['ArgType.Tensor torch.float32 (0, 1, 1, 1, 0, 0)', 'ArgType.Tensor torch.float32 (0, 3, 2, 2, 0, 3)', 'ArgType.Bool True', 'ArgType.Bool True', 'ArgType.Bool False']
Running op: linalg_solve_triangular.default, meta_tuple: ['ArgType.Tensor torch.float32 (3, 3)', 'ArgType.Tensor torch.float32 (0, 3, 2, 7, 0, 3)', 'ArgType.Bool False', 'ArgType.Bool False', 'ArgType.Bool False']
Running op: linalg_solve_triangular.default, meta_tuple: ['ArgType.Tensor torch.float32 (1, 0, 0)', 'ArgType.Tensor torch.float32 (0, 3, 2, 8, 0, 3)', 'ArgType.Bool False', 'ArgType.Bool True', 'ArgType.Bool True']
Running op: linalg_solve_triangular.default, meta_tuple: ['ArgType.Tensor torch.float32 (0, 5, 8, 6, 6)', 'ArgType.Tensor torch.float32 (0, 0, 5, 8, 0, 6)', 'ArgType.Bool False', 'ArgType.Bool False', 'ArgType.Bool False']
Running op: linalg_solve_triangular.default, meta_tuple: ['ArgType.Tensor torch.float64 (8, 2, 2)', 'ArgType.Tensor torch.float64 (0, 0, 5, 8, 2, 6)', 'ArgType.Bool False', 'ArgType.Bool True', 'ArgType.Bool True']
Running op: linalg_solve_triangular.default, meta_tuple: ['ArgType.Tensor torch.float64 (8, 5, 5)', 'ArgType.Tensor torch.float64 (0, 0, 5, 8, 5, 6)', 'ArgType.Bool False', 'ArgType.Bool True', 'ArgType.Bool False']
Running op: linalg_solve_triangular.default, meta_tuple: ['ArgType.Tensor torch.float32 (5, 1, 8, 8)', 'ArgType.Tensor torch.float32 (0, 0, 5, 8, 8, 6)', 'ArgType.Bool False', 'ArgType.Bool True', 'ArgType.Bool True']
Running op: linalg_solve_triangular.default, meta_tuple: ['ArgType.Tensor torch.float64 (6, 0, 0)', 'ArgType.Tensor torch.float64 (7, 0, 1, 6, 0, 0)', 'ArgType.Bool False', 'ArgType.Bool False', 'ArgType.Bool False']
Running op: linalg_solve_triangular.default, meta_tuple: ['ArgType.Tensor torch.float32 (0, 0)', 'ArgType.Tensor torch.float32 (7, 0, 1, 6, 0, 2)', 'ArgType.Bool True', 'ArgType.Bool True', 'ArgType.Bool False']
Running op: linalg_solve_triangular.default, meta_tuple: ['ArgType.Tensor torch.float64 (0, 0)', 'ArgType.Tensor torch.float64 (7, 0, 1, 6, 0, 4)', 'ArgType.Bool True', 'ArgType.Bool True', 'ArgType.Bool True']
Running op: linalg_solve_triangular.default, meta_tuple: ['ArgType.Tensor torch.float32 (8, 8)', 'ArgType.Tensor torch.float32 (7, 0, 1, 6, 0, 8)', 'ArgType.Bool True', 'ArgType.Bool False', 'ArgType.Bool False']
Running op: linalg_solve_triangular.default, meta_tuple: ['ArgType.Tensor torch.float32 (2, 2)', 'ArgType.Tensor torch.float32 (8, 2)', 'ArgType.Bool False', 'ArgType.Bool False', 'ArgType.Bool False']
Running op: linalg_solve_triangular.default, meta_tuple: ['ArgType.Tensor torch.float32 (3, 1, 6, 6)', 'ArgType.Tensor torch.float32 (4, 0, 3, 8, 0, 6)', 'ArgType.Bool False', 'ArgType.Bool False', 'ArgType.Bool True']
Running op: linalg_solve_triangular.default, meta_tuple: ['ArgType.Tensor torch.float32 (3, 1, 6, 6)', 'ArgType.Tensor torch.float32 (4, 0, 3, 8, 0, 6)', 'ArgType.Bool True', 'ArgType.Bool False', 'ArgType.Bool False']
Running op: linalg_solve_triangular.default, meta_tuple: ['ArgType.Tensor torch.float32 (0, 8, 6, 8, 8, 8)', 'ArgType.Tensor torch.float32 (5, 8)', 'ArgType.Bool True', 'ArgType.Bool False', 'ArgType.Bool True']
Running op: linalg_solve_triangular.default, meta_tuple: ['ArgType.Tensor torch.float32 (0, 5, 5)', 'ArgType.Tensor torch.float32 (5, 8)', 'ArgType.Bool True', 'ArgType.Bool True', 'ArgType.Bool True']
Running op: linalg_solve_triangular.default, meta_tuple: ['ArgType.Tensor torch.float32 (1, 8, 5, 5)', 'ArgType.Tensor torch.float32 (5, 8)', 'ArgType.Bool False', 'ArgType.Bool True', 'ArgType.Bool False']
Running op: linalg_solve_triangular.default, meta_tuple: ['ArgType.Tensor torch.float32 (1, 8, 5, 5)', 'ArgType.Tensor torch.float32 (5, 8)', 'ArgType.Bool False', 'ArgType.Bool True', 'ArgType.Bool True']
Device: cpu

SUCCESS

…fault

meta-codesync · 2026-02-06T23:44:58Z

@rsdcastro has imported this pull request. If you are a Meta employee, you can view this in D92573903.

meta-codesync · 2026-02-19T17:11:43Z

@rsdcastro merged this pull request in c6888b6.

add specs for triangular_solve.default and linalg_solve_triangular.de…

c2e429c

…fault

rsdcastro requested a review from manuelcandales January 31, 2026 00:09

meta-cla Bot added the CLA Signed This label is managed by the Meta Open Source bot. label Jan 31, 2026

Fix lint formatting issues

0848323

manuelcandales approved these changes Feb 19, 2026

View reviewed changes

meta-codesync Bot closed this in c6888b6 Feb 19, 2026

facebook-github-bot added the Merged label Feb 19, 2026

Navigation Menu

Repository navigation

add specs for triangular_solve and linalg_solve_triangular - #59

add specs for triangular_solve and linalg_solve_triangular#59
rsdcastro wants to merge 2 commits into
meta-pytorch:mainfrom
rsdcastro:triangular_solve

rsdcastro commented Jan 31, 2026

Uh oh!

meta-codesync Bot commented Feb 6, 2026

Uh oh!

meta-codesync Bot commented Feb 19, 2026

Uh oh!

Reviewers

Uh oh!

Assignees

Labels

Projects

Milestone

Development

Uh oh!

3 participants

Conversation

rsdcastro commented Jan 31, 2026

Uh oh!

meta-codesync Bot commented Feb 6, 2026

Uh oh!

meta-codesync Bot commented Feb 19, 2026

Uh oh!

Reviewers

Uh oh!

Assignees

Labels

Projects

Milestone

Development

Uh oh!

3 participants