masahi commented on a change in pull request #9894:
URL: https://github.com/apache/tvm/pull/9894#discussion_r781558092
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File path: python/tvm/relay/frontend/pytorch.py
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@@ -2852,6 +2852,28 @@ def einsum(self, inputs, input_types):
equation, data = inputs
return _op.einsum(data, equation)
+ def dot(self, inputs, _):
+ lhs, rhs = inputs
+ return _op.sum(_op.multiply(lhs, rhs))
+
+ def mv(self, inputs, _):
+ lhs, rhs = inputs
+
+ # Convert the 1D matrix (vector) into a 2D matrix with the extra
+ # dimension=1
+ vector_size = self.infer_shape(rhs)[0]
+ rhs_matrix = _op.transform.reshape(rhs, (vector_size, 1))
+
+ # Transpose for use in nn.dense
+ rhs_t = _op.transform.transpose(rhs_matrix, None)
+
Review comment:
I think you can use `expand_dims(rhs, 0)` to replace `reshape` and
`transpose`
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