Add support for aten.min.dim (pytorch#12623)

Summary:



Rollback Plan:

Differential Revision: D78526966

Author: cccclai

backends/qualcomm/builders/op_min.py

@@ -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)

backends/qualcomm/tests/models.py

@@ -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__()

backends/qualcomm/tests/test_qnn_delegate.py

@@ -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),)