func.func @eliminateExtraSelectLhs(%arg0: tensor<4x2x1xf32>, %arg1: tensor<4x2x1xi1>) -> (tensor<4x2x1xf32>) {
  %cst0 = arith.constant dense<1.0> : tensor<2x2xf32>
  %cst1 = arith.constant dense<2.0> : tensor<2xf32>
  %cst_zeros = arith.constant dense<0.0> : tensor<4x2x1xf32>

  %0 = "tfl.select_v2"(%arg1, %cst_zeros, %arg0) : (tensor<4x2x1xi1>, tensor<4x2x1xf32>, tensor<4x2x1xf32>) -> tensor<4x2x1xf32>

// CHECK:           %[[VAL_6:.*]] = "tf.Const"() <{value = dense<[5, 7, 9]> : tensor<3xi64>}> : () -> tensor<3xi64>
// CHECK:           %[[VAL_7:.*]] = "tf.BroadcastTo"(%[[VAL_5]], %[[VAL_6]]) : (tensor<1x7x1xi32>, tensor<3xi64>) -> tensor<5x7x9xi32>
// CHECK:           return %[[VAL_7]] : tensor<5x7x9xi32>
// CHECK:         }

// CHECK-SAME: (%[[A:.*]]: tensor<5x7xf32>, %[[B:.*]]: tensor<7x11xf32>)
func.func @matmul_notranspose(%a: tensor<5x7xf32>, %b: tensor<7x11xf32>) -> tensor<5x11xf32> {
  // CHECK: "mhlo.dot"(%[[A]], %[[B]])
  %0 = "tf.MatMul"(%a, %b) {transpose_a = false, transpose_b = false} : (tensor<5x7xf32>, tensor<7x11xf32>) -> tensor<5x11xf32>

  func.return %0 : tensor<5x11xf32>
}

// -----