(
inp_0: R.Tensor((4, 128, 512), dtype="float32"),
inp_1: R.Tensor((4, 128, 256), dtype="float32"),
inp_2: R.Tensor((4, 256, 512), dtype="float32"),
)
| 2521 | class Expected1: |
| 2522 | @R.function |
| 2523 | def main( |
| 2524 | inp_0: R.Tensor((4, 128, 512), dtype="float32"), |
| 2525 | inp_1: R.Tensor((4, 128, 256), dtype="float32"), |
| 2526 | inp_2: R.Tensor((4, 256, 512), dtype="float32"), |
| 2527 | ) -> R.Tuple(R.Tensor((4, 128, 512), dtype="float32")): |
| 2528 | with R.dataflow(): |
| 2529 | lv: R.Tensor((4, 128, 512), dtype="float32") = R.matmul( |
| 2530 | inp_1, inp_2, out_dtype="float32" |
| 2531 | ) |
| 2532 | lv1: R.Tensor((4, 128, 512), dtype="float32") = R.add(inp_0, lv) |
| 2533 | gv: R.Tuple(R.Tensor((4, 128, 512), dtype="float32")) = (lv1,) |
| 2534 | R.output(gv) |
| 2535 | return gv |
| 2536 | |
| 2537 | class BAddBMM2(Module): |
| 2538 | def __init__(self): |
nothing calls this directly
no test coverage detected