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[Relax][ONNX] Fix TopK scalar K extraction in from_onnx #19573

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tlopex merged 1 commit into from
May 19, 2026
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[Relax][ONNX] Fix TopK scalar K extraction in from_onnx #19573

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5 changes: 2 additions & 3 deletions python/tvm/relax/frontend/onnx/onnx_frontend.py
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Original file line number Diff line number Diff line change
Expand Up @@ -4242,11 +4242,10 @@ class TopK(OnnxOpConverter):
@classmethod
def _impl_v11(cls, bb, inputs, attr, params):
data = inputs[0]
k = inputs[1]
k = get_constant(inputs[1], params)
if not isinstance(k, relax.Constant):
raise ValueError("TopK k must be a constant")
# ONNX represents k as a tensor of shape [1]; flatten before scalar cast.
k = int(k.data.numpy().reshape(-1)[0])
k = int(k.data.numpy().item())
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axis = attr.get("axis", -1)
largest = attr.get("largest", 1)
sorted = attr.get("sorted", 1)
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