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2 changes: 1 addition & 1 deletion backends/qualcomm/builders/op_min.py
Original file line number Diff line number Diff line change
Expand Up @@ -16,7 +16,7 @@

@register_node_visitor
class Min(NodeVisitor):
target = ["aten.minimum.default"]
target = ["aten.minimum.default", "aten.min.dim"]

def __init__(self, *args) -> None:
super().__init__(*args)
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9 changes: 9 additions & 0 deletions backends/qualcomm/tests/models.py
Original file line number Diff line number Diff line change
Expand Up @@ -1162,6 +1162,15 @@ def forward(self, x, y):
return torch.minimum(x, y)


class MinDim(torch.nn.Module):
def __init__(self):
super().__init__()

def forward(self, logits):
min_logits, min_indices = torch.min(logits, dim=1)
return min_logits, min_indices


class Mul(torch.nn.Module):
def __init__(self):
super().__init__()
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5 changes: 5 additions & 0 deletions backends/qualcomm/tests/test_qnn_delegate.py
Original file line number Diff line number Diff line change
Expand Up @@ -884,6 +884,11 @@ def test_qnn_backend_minimum(self):
sample_input = (torch.randn(1, 2, 3, 4), torch.randn(2, 3, 4))
self.lower_module_and_test_output(module, sample_input)

def test_qnn_backend_min_dim(self):
module = MinDim() # noqa: F405
sample_input = (torch.randn(4, 10), )
self.lower_module_and_test_output(module, sample_input)

def test_qnn_backend_neg(self):
module = Neg() # noqa: F405
sample_input = (torch.randn(1, 4, 16, 16),)
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