AndrewZhaoLuo commented on a change in pull request #10450:
URL: https://github.com/apache/tvm/pull/10450#discussion_r817987993
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File path: python/tvm/relay/frontend/onnx.py
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@@ -3935,6 +3935,58 @@ def try_resolve_to_const(x, dtype_override=None):
return y
+class MatMulInteger(OnnxOpConverter):
+ """Operator converter for MatMulInteger."""
+
+ @classmethod
+ def _impl_v10(cls, inputs, attr, params):
+ a = inputs[0]
Review comment:
Hmm so pretty sure you can just do `relay.nn.matmul(...,
out_dtype='int32')`. You don't need all of this QLinearMatMul stuff to handle
accumulation without overflow imo.
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