masahi commented on a change in pull request #9113:
URL: https://github.com/apache/tvm/pull/9113#discussion_r716644828
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File path: python/tvm/relay/frontend/onnx.py
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@@ -1279,6 +1293,16 @@ def _impl_v1(cls, inputs, attr, params):
return inputs[len(inputs) - 1]
+class SequenceConstruct(OnnxOpConverter):
+ """Operator converter for SequenceConstruct"""
+
+ @classmethod
+ def _impl_v11(cls, inputs, attr, params):
+ if len(inputs) == 1:
+ raise ValueError("Expect 2 or more inputs")
+ return _op.Tuple(inputs)
Review comment:
Can an ONNX Sequence have dynamic number of elements? I thought that's
the point.
In that case, we cannot use Tuple. Tensor array is the right way.
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