Merge branch 'main' into export-D71520535

Author: gmagogsfm

backends/cadence/aot/replace_ops.py

@@ -976,7 +976,7 @@ def call(self, graph_module: torch.fx.GraphModule) -> PassResult:
         return result
 
 
-@register_cadence_pass(CadencePassAttribute(opt_level=1))
+@register_cadence_pass(CadencePassAttribute(opt_level=2))
 class ReplaceTrivialConvWithLinear(ExportPass):
     """
     In nn.Conv1d, the operand shapes are:
@@ -1256,7 +1256,7 @@ def call_operator(
         return self.transpose_dims(new_op, meta, 0, dim)
 
 
-@register_cadence_pass(CadencePassAttribute(opt_level=1))
+@register_cadence_pass(CadencePassAttribute(opt_level=2))
 class ReplaceConvWithIm2RowAndLinear(ExportPass):
     """
     Replace convolution where groups=1 with im2row followed by a linear op.
@@ -1449,7 +1449,7 @@ def call_operator(self, op, args, kwargs, meta):
         )
 
 
-@register_cadence_pass(CadencePassAttribute(opt_level=1))
+@register_cadence_pass(CadencePassAttribute(opt_level=2))
 class ReplaceTransposedConvWithLinearPass(ExportPass):
     """
     Replace transposed convolution where groups=1 with transposed_im2row
@@ -1686,7 +1686,7 @@ def call(self, graph_module: torch.fx.GraphModule) -> PassResult:
         return result
 
 
-@register_cadence_pass(CadencePassAttribute(opt_level=1))
+@register_cadence_pass(CadencePassAttribute(opt_level=2))
 class ReplaceLinearWithFullyConnectedOpPass(ExportPass):
     """
     If the input of linear/quantized_linear op is a vector, replace it with

backends/cadence/utils/facto_util.py

@@ -43,7 +43,7 @@ def apply_tensor_contraints(op_name: str, tensor_constraints: list[object]) -> N
                 cp.Size.Ge(lambda deps, r, d: 1),
                 cp.Size.Le(lambda deps, r, d: 2**9),
             ]
-        case "sigmoid.default" | "rsqrt.default":
+        case "sigmoid.default":
             additional_tensor_constraints.extend(
                 [
                     cp.Dtype.In(lambda deps: [torch.float]),
@@ -52,6 +52,17 @@ def apply_tensor_contraints(op_name: str, tensor_constraints: list[object]) -> N
                     cp.Value.Le(lambda deps, dtype, struct: 2),
                 ]
             )
+        case "rsqrt.default":
+            additional_tensor_constraints.extend(
+                [
+                    cp.Dtype.In(lambda deps: [torch.float]),
+                    cp.Rank.Le(lambda deps: 2**2),
+                    cp.Value.Gt(
+                        lambda deps, dtype, struct: 0
+                    ),  # only generate real numbers
+                    cp.Value.Le(lambda deps, dtype, struct: 2**2),
+                ]
+            )
         case "mean.dim":
             additional_tensor_constraints.extend(
                 [

examples/demo-apps/apple_ios/ExecuTorchDemo/ExecuTorchDemo.xcodeproj/project.pbxproj

@@ -806,7 +806,7 @@
 			isa = XCRemoteSwiftPackageReference;
 			repositoryURL = "https://github.com/pytorch/executorch";
 			requirement = {
-				branch = "swiftpm-0.6.0";
+				branch = "swiftpm-0.7.0.20250401";
 				kind = branch;
 			};
 		};

examples/demo-apps/apple_ios/LLaMA/LLaMA.xcodeproj/project.pbxproj

@@ -852,7 +852,7 @@
 			isa = XCRemoteSwiftPackageReference;
 			repositoryURL = "https://github.com/pytorch/executorch";
 			requirement = {
-				branch = "swiftpm-0.6.0";
+				branch = "swiftpm-0.7.0.20250401";
 				kind = branch;
 			};
 		};

examples/demo-apps/react-native/rnllama/ios/rnllama.xcodeproj/project.pbxproj

@@ -947,7 +947,7 @@
 			isa = XCRemoteSwiftPackageReference;
 			repositoryURL = "https://github.com/pytorch/executorch.git";
 			requirement = {
-				branch = "swiftpm-0.6.0";
+				branch = "swiftpm-0.7.0.20250401";
 				kind = branch;
 			};
 		};