[AutoBump] Merge with fixes of e5b2be3 (Jan 30)

Author: jorickert

mlir/test/Dialect/Tosa/transpose-fold.mlir

@@ -6,9 +6,9 @@
 // CHECK:         }
 
 func.func @test_cancel_transpose_transpose(%arg0: tensor<1x2x3xi32>) -> (tensor<1x2x3xi32>) {
-	%0 = "tosa.const"() <{value = dense<[1, 2, 0]> : tensor<3xi32>}> : () -> tensor<3xi32>
+	%0 = "tosa.const"() {value = dense<[1, 2, 0]> : tensor<3xi32>} : () -> tensor<3xi32>
 	%1 = tosa.transpose %arg0, %0 : (tensor<1x2x3xi32>, tensor<3xi32>) -> tensor<2x3x1xi32>
-	%2 = "tosa.const"() <{value = dense<[2, 0, 1]> :tensor<3xi32>}> : () -> tensor<3xi32>
+	%2 = "tosa.const"() {value = dense<[2, 0, 1]> : tensor<3xi32>} : () -> tensor<3xi32>
 	%3 = tosa.transpose %1, %2 : (tensor<2x3x1xi32>, tensor<3xi32>) -> tensor<1x2x3xi32>
   return %3 : tensor<1x2x3xi32>
 }
@@ -21,7 +21,7 @@ func.func @test_cancel_transpose_transpose(%arg0: tensor<1x2x3xi32>) -> (tensor<
 // CHECK:         }
 
 func.func @test_remove_identity_transpose(%arg0: tensor<1x2x3xi32>) -> (tensor<1x2x3xi32>) {
-	%0 = "tosa.const"() <{value = dense<[0, 1, 2]> : tensor<3xi32>}> : () -> tensor<3xi32>
+	%0 = "tosa.const"() {value = dense<[0, 1, 2]> : tensor<3xi32>} : () -> tensor<3xi32>
 	%1 = tosa.transpose %arg0, %0 : (tensor<1x2x3xi32>, tensor<3xi32>) -> tensor<1x2x3xi32>
   return %1 : tensor<1x2x3xi32>
 }
@@ -36,9 +36,9 @@ func.func @test_remove_identity_transpose(%arg0: tensor<1x2x3xi32>) -> (tensor<1
 // CHECK:         }
 
 func.func @test_do_not_cancel_different_transpose(%arg0: tensor<2x3x4x5xi32>) -> (tensor<5x4x3x2xi32>) {
-	%0 = "tosa.const"() <{value = dense<[1, 2, 0, 3]> : tensor<4xi32>}> : () -> tensor<4xi32>
+	%0 = "tosa.const"() {value = dense<[1, 2, 0, 3]> : tensor<4xi32>} : () -> tensor<4xi32>
 	%1 = tosa.transpose %arg0, %0 : (tensor<2x3x4x5xi32>, tensor<4xi32>) -> tensor<3x4x2x5xi32>
-	%2 = "tosa.const"() <{value = dense<[3, 1, 0, 2]> : tensor<4xi32>}> : () -> tensor<4xi32>
+	%2 = "tosa.const"() {value = dense<[3, 1, 0, 2]> : tensor<4xi32>} : () -> tensor<4xi32>
 	%3 = tosa.transpose %1, %2 : (tensor<3x4x2x5xi32>, tensor<4xi32>) -> tensor<5x4x3x2xi32>
   return %3 : tensor<5x4x3x2xi32>
 }
@@ -53,9 +53,9 @@ func.func @test_do_not_cancel_different_transpose(%arg0: tensor<2x3x4x5xi32>) ->
 // CHECK:         }
 
 func.func @test_prefer_compose_transpose(%arg0: tensor<1x2x3x4xi32>) -> (tensor<4x3x2x1xi32>) {
-	%0 = "tosa.const"() <{value = dense<[1, 2, 0, 3]> : tensor<4xi32>}> : () -> tensor<4xi32>
+	%0 = "tosa.const"() {value = dense<[1, 2, 0, 3]> : tensor<4xi32>} : () -> tensor<4xi32>
 	%1 = tosa.transpose %arg0, %0 : (tensor<1x2x3x4xi32>, tensor<4xi32>) -> tensor<2x3x1x4xi32>
-	%2 = "tosa.const"() <{value = dense<[3, 1, 0, 2]> : tensor<4xi32>}> : () -> tensor<4xi32>
+	%2 = "tosa.const"() {value = dense<[3, 1, 0, 2]> : tensor<4xi32>} : () -> tensor<4xi32>
 	%3 = tosa.transpose %1, %2 : (tensor<2x3x1x4xi32>, tensor<4xi32>) -> tensor<4x3x2x1xi32>
   return %3 : tensor<4x3x2x1xi32>
 }