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Merged
masahi merged 2 commits into from
Jul 4, 2021
Merged

Support aten::flip #8398

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333119c
Support test aten::flip
delldu Jul 3, 2021
0ffb31b
Support aten::flip
delldu Jul 3, 2021
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6 changes: 6 additions & 0 deletions python/tvm/relay/frontend/pytorch.py
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Original file line number Diff line number Diff line change
Expand Up @@ -2325,6 +2325,11 @@ def nll_loss(self, inputs, input_types):
weights = _op.full(_expr.const(1), (num_class,), dtype=input_types[0])
return _op.nn.nll_loss(predictions, targets, weights, reduction, ignore_index)

def flip(self, inputs, input_types):
data = inputs[0]
axis = inputs[1]
return _op.transform.reverse(data, axis=axis[0])

# Operator mappings
def create_convert_map(self):
self.convert_map = {
Expand Down Expand Up @@ -2539,6 +2544,7 @@ def create_convert_map(self):
"aten::_unique2": self.unique,
"aten::nll_loss": self.nll_loss,
"aten::nll_loss2d": self.nll_loss,
"aten::flip": self.flip,
}

def update_convert_map(self, custom_map):
Expand Down
20 changes: 20 additions & 0 deletions tests/python/frontend/pytorch/test_forward.py
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Expand Up @@ -3893,6 +3893,25 @@ def test_forward_nll_loss():
verify_model(torch.nn.NLLLoss(reduction="none").eval(), input_data=[predictions, targets])


@tvm.testing.uses_gpu
def test_forward_flip():
torch.set_grad_enabled(False)

class Flip(Module):
def __init__(self, axis=0):
super().__init__()
self.axis = axis

def forward(self, x):
return x.flip([self.axis])

input = torch.randn(2, 3, 4)
verify_model(Flip(axis=0), input_data=input)
verify_model(Flip(axis=1), input_data=input)
verify_model(Flip(axis=2), input_data=input)
verify_model(Flip(axis=-1), input_data=input)


if __name__ == "__main__":
# some structural tests
test_forward_traced_function()
Expand Down Expand Up @@ -4035,6 +4054,7 @@ def test_forward_nll_loss():
test_hard_swish()
test_hard_sigmoid()
test_forward_nll_loss()
test_forward_flip()

# Model tests
test_resnet18()
Expand Down