Expected behavior

relax.build(mod, target="cuda") should compile successfully for any valid Relax IR module containing relax.op.nn.conv2d. The compiled module should execute and produce correct convolution results.

Actual behavior

relax.build crashes with an AttributeError during the dlight GPU scheduling pass:

AttributeError: 'FloorDiv' object has no attribute 'value'

Environment

• OS: Linux (x86_64, conda environment)
• GPU: NVIDIA GeForce RTX 3080 Ti (12GB VRAM)
• CUDA driver: 580.76.05
• TVM version: 0.25.0.post1 (installed via pip)
• Target: cuda (GPU compilation)
• Python: 3.12

Steps to reproduce

from tvm import relax

bb = relax.BlockBuilder()
v = relax.Var("v", relax.TensorStructInfo(
    shape=relax.ShapeExpr([1, 1, 3, 10]), dtype="float32"))
w = relax.Var("w", relax.TensorStructInfo(
    shape=relax.ShapeExpr([1, 1, 1, 2]), dtype="float32"))
with bb.function("f", [v, w]):
    c = bb.emit(relax.op.nn.conv2d(v, w,
        strides=[1, 1], padding=[0, 0], dilation=[1, 1], groups=1))
    bb.emit_func_output(c)
mod = bb.get()
ex = relax.build(mod, target="cuda")

Triage

• bug
• CUDA
• dlight
• gemv
• conv2d
• needs-triage
• needs-triage