Merge branch 'tina.FXML-3548-bump-onnx-mlir-to-c03bc49b430014c6d1ae85…

…0de50295c99974cc57' into tina.FXML-3548-bump-update-tosa-format-trial-branch

test/mlir/conversion/onnx_to_tosa/Math/Elementwise.mlir

@@ -3,7 +3,7 @@
 // -----
 
 func.func @test_cast_f32_i8(%arg0: tensor<13x21x1xf32>) -> tensor<13x21x1xi8> {
-  %0 = "onnx.Cast"(%arg0) {to = i8} : (tensor<13x21x1xf32>) -> tensor<13x21x1xi8> 
+  %0 = "onnx.Cast"(%arg0) {to = i8} : (tensor<13x21x1xf32>) -> tensor<13x21x1xi8>
   "func.return"(%0) : (tensor<13x21x1xi8>) -> ()
 // CHECK-LABEL:  func @test_cast_f32_i8
 // CHECK-SAME:   ([[PARAM_0_:%.+]]: tensor<13x21x1xf32>) -> tensor<13x21x1xi8> {
@@ -13,7 +13,7 @@ func.func @test_cast_f32_i8(%arg0: tensor<13x21x1xf32>) -> tensor<13x21x1xi8> {
 // -----
 
 func.func @test_cast_i8_i1(%arg0: tensor<1x21x1x1xi8>) -> tensor<1x21x1x1xi1> {
-  %0 = "onnx.Cast"(%arg0) {to = i1} : (tensor<1x21x1x1xi8>) -> tensor<1x21x1x1xi1> 
+  %0 = "onnx.Cast"(%arg0) {to = i1} : (tensor<1x21x1x1xi8>) -> tensor<1x21x1x1xi1>
   "func.return"(%0) : (tensor<1x21x1x1xi1>) -> ()
 // CHECK-LABEL:  func @test_cast_i8_i1
 // CHECK-SAME:   ([[PARAM_0_:%.+]]: tensor<1x21x1x1xi8>) -> tensor<1x21x1x1xi1> {
@@ -300,6 +300,7 @@ func.func @test_sigmoid(%arg0 : tensor<10x10xf32>) -> tensor<10x10xf32> {
 // CHECK-NEXT:      [[VAR_0_:%.+]] = tosa.sigmoid [[PARAM_0_]] : (tensor<10x10xf32>) -> tensor<10x10xf32>
 // CHECK-NEXT:      return [[VAR_0_]] : tensor<10x10xf32>
 // CHECK-NEXT:    }
+}
 
 // -----
 
@@ -941,4 +942,4 @@ func.func @test_less_broadcast(%arg0: tensor<13x21x1xf32>, %arg1: tensor<1xf32>)
 // CHECK:           [[VAR_0_:%.+]] = tosa.reshape %arg1 {new_shape = array<i64: 1, 1, 1>} : (tensor<1xf32>) -> tensor<1x1x1xf32>
 // CHECK:           [[VAR_1_:%.+]] = tosa.greater [[VAR_0_]], %arg0 : (tensor<1x1x1xf32>, tensor<13x21x1xf32>) -> tensor<13x21x1xi1>
 // CHECK:           return [[VAR_1_]] : tensor<13x21x1xi1>
-}
+}