[rsdcastro]

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

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

SUCCESS

[meta-codesync]

@rsdcastro has imported this pull request. If you are a Meta employee, you can view this in D92560619.

[meta-codesync]

@rsdcastro merged this pull request in eb61b66.