comaniac commented on a change in pull request #8622:
URL: https://github.com/apache/tvm/pull/8622#discussion_r681333120
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File path: python/tvm/relay/frontend/pytorch.py
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@@ -1445,7 +1445,7 @@ def linear(self, inputs, input_types):
# 0 - input
# 1 - weight
bias = inputs[2]
- mm_out = self.matmul(inputs[:2], input_types[:2])
+ mm_out = self.matmul([inputs[0], _op.transpose(inputs[1], axes=(1,
0))], input_types[:2])
Review comment:
How about we just make an exception: when the input rank is 2 then use
dense; otherwise use matmul?
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