(
rxplaceholder: T.Buffer(T.int64(8), "float32"),
PadInput: T.Buffer(T.int64(10), "float32"),
)
| 63 | |
| 64 | @T.prim_func(s_tir=True) |
| 65 | def pad( |
| 66 | rxplaceholder: T.Buffer(T.int64(8), "float32"), |
| 67 | PadInput: T.Buffer(T.int64(10), "float32"), |
| 68 | ): |
| 69 | T.evaluate(0) |
| 70 | |
| 71 | @R.function(pure=False) |
| 72 | def main(x: R.Tensor((2, 4), dtype="float32")) -> R.Tensor((10,), dtype="float32"): |