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5 changes: 1 addition & 4 deletions python/tvm/relay/frontend/pytorch.py
Original file line number Diff line number Diff line change
Expand Up @@ -1972,10 +1972,7 @@ def stack(self, inputs, input_types):
return self.tensor_array_stack(inputs, input_types)

def rsub(self, inputs, input_types):
data0, data1 = self.pytorch_promote_types(inputs[:2], input_types[:2])

# TODO (t-vi): should this also be part of the type promotion?
alpha = _expr.const(float(inputs[2]))
data0, data1, alpha = self.pytorch_promote_types(inputs, input_types)

# note: rsub means data0 and data1 swap places
return get_relay_op("subtract")(data1, alpha * data0)
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7 changes: 7 additions & 0 deletions tests/python/frontend/pytorch/test_forward.py
Original file line number Diff line number Diff line change
Expand Up @@ -2691,6 +2691,13 @@ def forward(self, *args):
verify_model(Rsub2().float().eval(), input_data=[d1, d2])
verify_model(Rsub2().float().eval(), input_data=[d1, d3])

d1 = torch.rand([1, 3]).half()
d2 = torch.rand([1, 3]).half()
verify_model(Rsub1().half().eval(), input_data=[d1, d2])
verify_model(Rsub1().half().eval(), input_data=[d1, d3])
verify_model(Rsub2().half().eval(), input_data=[d1, d2])
verify_model(Rsub2().half().eval(), input_data=[d1, d3])


@tvm.testing.uses_gpu
def test_forward_embedding():
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