AndrewZhaoLuo commented on a change in pull request #8845:
URL: https://github.com/apache/tvm/pull/8845#discussion_r698774642
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File path: python/tvm/relay/frontend/onnx.py
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@@ -961,6 +961,18 @@ def _impl_v1(cls, inputs, attr, params):
return _op.power(out, reci_p)
+class GlobalLpPool(OnnxOpConverter):
+ """Operator converter for GlobalLpPool."""
+
+ @classmethod
+ def _impl_v1(cls, inputs, attr, params):
+ in_shape = infer_shape(inputs[0])
+ assert len(in_shape) >= 4, "input shape support NCHW or NCDHW"
Review comment:
LpPool supports the 1D case e.g. N x C x D_1 and the onnx spec makes it
seems like we should support it too.
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