func.func @strided_slice(%arg0 : tensor<*xf32>) -> tensor<*xf32> {
  %18 = "tf.Const"() {value = dense<1> : tensor<4xi32>} : () -> tensor<4xi32>
  %57 = "tf.Const"() {value = dense<0> : tensor<4xi32>} : () -> tensor<4xi32>
  %534 = "tf.StridedSlice"(%arg0, %57, %57, %18) {begin_mask = 11 : i64, device = "", ellipsis_mask = 0 : i64, end_mask = 11 : i64, new_axis_mask = 4 : i64, shrink_axis_mask = 0 : i64} : (tensor<*xf32>, tensor<4xi32>, tensor<4xi32>, tensor<4xi32>) -> tensor<*xf32>

        "@llvm-project//mlir:Support",
    ],
)

tf_cc_test(
    name = "error_collector_inst_test",
    srcs = ["error_collector_inst_test.cc"],
    data = [
        "testdata/strided_slice.mlir",
    ],
    deps = [
        ":error_collector",
        ":error_collector_inst",
        ":types_util",
        "//tensorflow/compiler/mlir/tensorflow",
        "//tensorflow/core:test",

}

TEST(ErrorCollectorTest, TessSuccessPass) {
  std::string input_file = tensorflow::GetDataDependencyFilepath(
      "tensorflow/compiler/mlir/lite/metrics/testdata/strided_slice.mlir");
  MLIRContext context;
  context.getOrLoadDialect<mlir::func::FuncDialect>();
  context.getOrLoadDialect<TF::TensorFlowDialect>();
  context.enableMultithreading();

// tfl.custom / tfl.mean / tfl.minimum / tfl.pad / tfl.pow / tfl.prelu /
// tfl.relu / tfl.relu6 / tfl.rsqrt / tfl.sin / tfl.slice / tfl.softmax /
// tfl.space_to_depth / tfl.sqrt / tfl.square / tfl.squared_difference /
// tfl.strided_slice / tfl.tanh / tfl.transpose / tfl.transpose_conv
class GpuBasicSupportedOpNoCost : public TargetHardwareOperation {
  double GetOpCost(mlir::Operation* op) const override { return 0; }