torch.operator

unsupported_operator

Note

Tags: torch.operator

Support Level: SUPPORTED

Original source code:

# mypy: allow-untyped-defs
import torch
from torch._export.db.case import SupportLevel


class TorchSymMin(torch.nn.Module):
    """
    torch.sym_min operator is supported in export.
    """

    def forward(self, x):
        return x.sum() + torch.sym_min(x.size(0), 100)


example_args = (torch.randn(3, 2),)
tags = {"torch.operator"}
support_level = SupportLevel.SUPPORTED
model = TorchSymMin()


torch.export.export(model, example_args)

Result:

ExportedProgram:
    class GraphModule(torch.nn.Module):
        def forward(self, x: "f32[3, 2]"):
                sum_1: "f32[]" = torch.ops.aten.sum.default(x);  x = None
            add: "f32[]" = torch.ops.aten.add.Tensor(sum_1, 3);  sum_1 = None
            return (add,)

Graph signature:
    # inputs
    x: USER_INPUT

    # outputs
    add: USER_OUTPUT

Range constraints: {}