Fixing EoF precommit check issues.

Author: Ivan Garcia

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))
-

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>
 }
-