(
inp_0: R.Tensor((10, 10), dtype="float32"),
inp_1: R.Tensor((10, 10), dtype="float32"),
)
| 1655 | class expected_min1: |
| 1656 | @R.function |
| 1657 | def main( |
| 1658 | inp_0: R.Tensor((10, 10), dtype="float32"), |
| 1659 | inp_1: R.Tensor((10, 10), dtype="float32"), |
| 1660 | ) -> R.Tuple(R.Tensor((10, 10), dtype="float32")): |
| 1661 | with R.dataflow(): |
| 1662 | lv: R.Tensor((10, 10), dtype="float32") = R.minimum(inp_0, inp_1) |
| 1663 | gv: R.Tuple(R.Tensor((10, 10), dtype="float32")) = (lv,) |
| 1664 | R.output(gv) |
| 1665 | return gv |
| 1666 | |
| 1667 | verify_model(Min1(), example_args1, {}, expected_min1) |
| 1668 |