| 559 | class Expected_log2: |
| 560 | @R.function |
| 561 | def main(inp_0: R.Tensor((1, 3, 10, 10), dtype="float32")) -> R.Tuple( |
| 562 | R.Tensor((1, 3, 10, 10), dtype="float32") |
| 563 | ): |
| 564 | with R.dataflow(): |
| 565 | lv: R.Tensor((1, 3, 10, 10), dtype="float32") = R.log(inp_0) |
| 566 | lv1: R.Tensor((1, 3, 10, 10), dtype="float32") = R.divide( |
| 567 | lv, R.const(0.69314718246459961, "float32") |
| 568 | ) |
| 569 | gv: R.Tuple(R.Tensor((1, 3, 10, 10), dtype="float32")) = (lv1,) |
| 570 | R.output(gv) |
| 571 | return gv |
| 572 | |
| 573 | verify_model(Log2(), example_args, {}, Expected_log2) |
| 574 | |