// RUN: tf-opt -tfl-legalize-tensorlist -canonicalize -split-input-file %s | FileCheck %s

// CHECK-LABEL: listReserveScalarShapeI32
func.func @listReserveScalarShapeI32(%arg0: tensor<i32>, %arg1: tensor<i32>) -> tensor<!tf_type.variant<tensor<*xi32>>> {
  %0 = "tf.TensorListReserve"(%arg0, %arg1) : (tensor<i32>, tensor<i32>) -> tensor<!tf_type.variant<tensor<*xi32>>>

//===----------------------------------------------------------------------===//
// TensorList transformation patterns.
// Note that the pattern below rewrites `TensorList` tensors  (which has type DT_VARIANT)
// into regular tensors. We also assume that each element in the `TensorList` has
// a same constant shape.
//===----------------------------------------------------------------------===//

// Replicates the TensorList initialization ops for all the uses.
// No need to delete the original TensorList as it might be used elsewhere.
template <typename T>
void ReplicateTensorListForUses(T tensor_list_op) {
  Value tensor_list = tensor_list_op.getResult();
  std::vector<OpOperand*> uses;
  for (auto& use : tensor_list.getUses()) {
    uses.emplace_back(&use);
  }

// RUN: tf-opt "-tfl-lower-static-tensor-list=allow-tensorlist-pass-through default-to-single-batch=false" -split-input-file %s | FileCheck %s

// -----

func.func @tensorlistReserveConstantUnknownElementShapeDim(%arg0: tensor<i32>, %arg1: tensor<i32>) -> tensor<?x7xf32> {
  %cst = arith.constant dense<[-1, 7]> : tensor<2xi32>
  %0 = "tf.TensorListReserve"(%cst, %arg0) : (tensor<2xi32>, tensor<i32>) -> tensor<!tf_type.variant<tensor<?x7xf32>>>

// during the flatbuffer translation.
extern bool emit_builtin_tflite_ops;
extern bool emit_select_tf_ops;
extern bool emit_custom_ops;
// The flag to control whether to lower tensorlist ops into TF ops.
extern bool lower_tensor_list_ops;
// The flag to control whether debug info gets stripped on export.
extern bool strip_debug_info;
// The flag to control whether to store constant & custom buffers inside

// RUN: tf-opt "-tfl-lower-static-tensor-list=allow-tensorlist-pass-through default-to-single-batch enable-dynamic-update-slice" -split-input-file %s | FileCheck %s

// -----

// CHECK-LABEL: tensorlistSetItem
func.func @tensorlistSetItem(%arg0: tensor<3x10xf32>, %arg1: tensor<1xi32>, %arg2: tensor<i32>, %arg3: tensor<10xf32>) -> tensor<3x10xf32> {
  %0 = "tf.TensorListFromTensor"(%arg0, %arg1) : (tensor<3x10xf32>, tensor<1xi32>) -> tensor<!tf_type.variant<tensor<10xf32>>>

  // If `emit_builtin_tflite_ops` is true, TF Lite legalization passes will be
  // added, which produces TF Lite ops.
  bool emit_builtin_tflite_ops = true;
  // If `lower_tensor_list_ops` is true, tensorlist ops will be lowered to basic
  // TF ops before legalization to TF Lite dialect.
  bool lower_tensor_list_ops = false;
  // The allowlist of functions that would be preserved after trimming.

    llvm::cl::init(false));

// NOLINTNEXTLINE
opt<bool> legalize_custom_tensor_list_ops(
    "legalize-custom-tensor-list-ops",
    llvm::cl::desc("Convert \"tf.TensorList*\" ops to \"tfl.custom_op\""
                   "if they can all be supported."),
    llvm::cl::init(false));

// NOLINTNEXTLINE
opt<bool> serialize_stablehlo_ops(
    "serialize-stablehlo-ops",

    llvm::cl::location(emit_custom_ops), llvm::cl::init(false));

// NOLINTNEXTLINE
static opt<bool, true> lower_tensor_list_ops_flag(
    "lower-tensor-list-ops",
    llvm::cl::desc("Lower the TensorList ops within the TFLite dialect"),
    llvm::cl::location(lower_tensor_list_ops), llvm::cl::init(false));

// NOLINTNEXTLINE
static opt<bool, true> strip_debug_info_flag(

// OpDefs.

tfr.func @tf__my_add_n(%values: !tfr.tensor_list,
                       %n: i64 {tfr.name="N"}) -> !tfr.tensor {
  %index = arith.constant 0 : index
  %cst = arith.constant 1 : i64
  %eq = arith.cmpi eq, %n, %cst : i64
  %v1 = tfr.get_element %values[%index] : (!tfr.tensor_list, index) -> !tfr.tensor
  %res = scf.if %eq -> !tfr.tensor {
    scf.yield %v1 : !tfr.tensor
  } else {