(
input_1: R.Tensor((4, 128, 256), dtype="float32"),
input_2: R.Tensor((4, 256, 512), dtype="float32"),
)
| 755 | class Expected: |
| 756 | @R.function |
| 757 | def main( |
| 758 | input_1: R.Tensor((4, 128, 256), dtype="float32"), |
| 759 | input_2: R.Tensor((4, 256, 512), dtype="float32"), |
| 760 | ) -> R.Tensor((4, 128, 512), dtype="float32"): |
| 761 | # block 0 |
| 762 | with R.dataflow(): |
| 763 | lv: R.Tensor((4, 128, 512), dtype="float32") = R.matmul( |
| 764 | input_1, input_2, out_dtype="float32" |
| 765 | ) |
| 766 | gv: R.Tensor((4, 128, 512), dtype="float32") = lv |
| 767 | R.output(gv) |
| 768 | return gv |
| 769 | |
| 770 | verify_model( |
| 771 | BMM(), |
nothing calls this directly
no test coverage detected