[Issue]: unary ops(NOT, ~ and negation,-) on vector result in core dump during compilation

Problem Description

unary ops(NOT, ~ and negation,-) on vector result in core dump during compilation

Operating System

Ubuntu 24.04.3 LTS (Noble Numbat)

CPU

AMD EPYC 9575F 64-Core Processor

GPU

AMD Instinct MI355, gfx950

ROCm Version

ROCm 7.1.0

ROCm Component

No response

Steps to Reproduce

vector_unary.py

import torch

import flydsl.compiler as flyc
import flydsl.expr as fx


@flyc.kernel
def copy_kernel(
    A: fx.Tensor,
    B: fx.Tensor,
):
    tid = fx.thread_idx.x
    bid = fx.block_idx.x

    block_m = 8
    block_n = 24
    tile = fx.make_tile([fx.make_layout(block_m, 1), fx.make_layout(block_n, 1)])

    A = fx.rocdl.make_buffer_tensor(A)
    B = fx.rocdl.make_buffer_tensor(B)

    bA = fx.zipped_divide(A, tile)
    bB = fx.zipped_divide(B, tile)
    bA = fx.slice(bA, (None, bid))
    bB = fx.slice(bB, (None, bid))

    thr_layout = fx.make_layout((4, 1), (1, 1))
    val_layout = fx.make_layout((1, 8), (1, 1))
    copy_atom = fx.make_copy_atom(fx.rocdl.BufferCopy128b(), fx.Int32)
    layout_thr_val = fx.raked_product(thr_layout, val_layout)

    tile_mn = fx.make_tile(4, 8)

    tiled_copy = fx.make_tiled_copy(copy_atom, layout_thr_val, tile_mn)
    thr_copy = tiled_copy.get_slice(tid)

    partition_src = thr_copy.partition_S(bA)
    partition_dst = thr_copy.partition_D(bB)

    frag = fx.make_fragment_like(partition_src)

    fx.copy(copy_atom, partition_src, frag)

    v = frag.load()
    v = ~v
    #v = -v
    frag.store(v)

    fx.copy(copy_atom, frag, partition_dst)


@flyc.jit
def tiledCopyNot(
    A: fx.Tensor,
    B: fx.Tensor,
    stream: fx.Stream = fx.Stream(None),
):
    copy_kernel(A, B).launch(grid=(15, 1, 1), block=(4, 1, 1), stream=stream)


M, N = 8 * 3, 24 * 5
A = torch.arange(M * N, dtype=torch.int32).reshape(M, N).cuda()
B = torch.zeros(M, N, dtype=torch.int32).cuda()


tiledCopyNot(A, B, stream=torch.cuda.Stream())

torch.cuda.synchronize()

is_correct = torch.allclose(~A, B)
#is_correct = torch.allclose(-A, B)
print("Result correct:", is_correct)
if not is_correct:
    print("A:", A)
    print("B:", B)

python3 examples/vector_unary.py

python3: /workspace/llvm-project/llvm/include/llvm/Support/Casting.h:560: decltype(auto) llvm::cast(const From&) [with To = mlir::IntegerType; From = mlir::Type]: Assertion `isa<To>(Val) && "cast<Ty>() argument of incompatible type!"' failed.
Aborted (core dumped)

(Optional for Linux users) Output of /opt/rocm/bin/rocminfo --support

No response

Additional Information

No response