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[ONNX] Add symbolic for torch.addcmul (#72126)

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* Add addcmul op

* Remove required_grad

Pull Request resolved: https://github.com/pytorch/pytorch/pull/73101
This commit is contained in:
BowenBao 2022-02-22 10:20:21 -08:00 committed by PyTorch MergeBot
parent 28bf2f80cf
commit cc2aad2ef2
2 changed files with 16 additions and 0 deletions
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10
test/onnx/test_pytorch_onnx_onnxruntime.py
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@ -6308,6 +6308,16 @@ class TestONNXRuntime(unittest.TestCase):
x = torch.randn(4, 2, 3, requires_grad=True)
self.run_test(InplaceAddModel(), x)
def test_addcmul(self):
class AddcmulModel(torch.nn.Module):
def forward(self, x, t1, t2):
return torch.addcmul(x, t1, t2), torch.addcmul(x, t1, t2, value=2.2)
x = torch.randn(1, 3)
t1 = torch.randn(3, 1)
t2 = torch.randn(1, 3)
self.run_test(AddcmulModel(), (x, t1, t2))
def test_rsqrt(self):
class RsqrtModel(torch.nn.Module):
def forward(self, x):

6
torch/onnx/symbolic_opset9.py
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@ -115,6 +115,12 @@ def div(g, self, other, *args):
return _div_rounding_mode(g, self, other, *args)
@parse_args("v", "v", "v", "f")
def addcmul(g, self, tensor1, tensor2, value=1.0):
value_tens = g.op("Constant", value_t=torch.tensor([value]))
return add(g, self, mul(g, mul(g, tensor1, tensor2), value_tens))
@parse_args("v", "v", "s")
def _div_rounding_mode(g, self, other, rounding_mode):
if rounding_mode is None: