Fixing EoF precommit check issues.

llvm · Feb 26, 2025 · 21f7a1f · 21f7a1f
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commit 21f7a1f
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diff --git a/projects/pt1/python/torch_mlir_e2e_test/test_suite/conv.py b/projects/pt1/python/torch_mlir_e2e_test/test_suite/conv.py
@@ -1756,4 +1756,3 @@ def forward(self, inputVec, weight, bias):
 @register_test_case(module_factory=lambda: ConvolutionModule2DGroupedTranspose())
 def ConvolutionModule2DGroupedTranspose_basic(module, tu: TestUtils):
     module.forward(tu.rand(1, 2, 5, 7), tu.rand(2, 2, 3, 3), tu.rand(4))
-
diff --git a/test/Conversion/TorchToLinalg/convolution.mlir b/test/Conversion/TorchToLinalg/convolution.mlir
@@ -147,4 +147,3 @@ func.func @transposedGroupedConvolution2D(%arg0: !torch.vtensor<[1,2,5,7],f32>)
   %6 = torch.aten.convolution %arg0, %0, %1, %2, %3, %4, %true, %5, %int2 : !torch.vtensor<[1,2,5,7],f32>, !torch.vtensor<[2,2,3,3],f32>, !torch.vtensor<[4],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[1,4,10,14],f32>
   return %6 : !torch.vtensor<[1,4,10,14],f32>
 }
-
Original file line number	Diff line number	Diff line change
Expand Up		@@ -1756,4 +1756,3 @@ def forward(self, inputVec, weight, bias):
		@register_test_case(module_factory=lambda: ConvolutionModule2DGroupedTranspose())
		def ConvolutionModule2DGroupedTranspose_basic(module, tu: TestUtils):
		module.forward(tu.rand(1, 2, 5, 7), tu.rand(2, 2, 3, 3), tu.rand(4))
Original file line number	Diff line number	Diff line change
Expand Up		@@ -147,4 +147,3 @@ func.func @transposedGroupedConvolution2D(%arg0: !torch.vtensor<[1,2,5,7],f32>)
		%6 = torch.aten.convolution %arg0, %0, %1, %2, %3, %4, %true, %5, %int2 : !torch.vtensor<[1,2,5,7],f32>, !torch.vtensor<[2,2,3,3],f32>, !torch.vtensor<[4],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[1,4,10,14],f32>
		return %6 : !torch.vtensor<[1,4,10,14],f32>
		}