func.func @NoOp(%arg0: tensor<!tf_type.string> {tf_saved_model.bound_input = @__tf_saved_model_asset0_mydata.txt}) attributes {tf_saved_model.exported_names = ["__tf_saved_model_session_initializer_NoOp"]} {
    %0 = "tf.HashTableV2"() {container = "", device = "", key_dtype = !tf_type.string, shared_name = "", use_node_name_sharing = false, value_dtype = i64} : () -> tensor<!tf_type.resource>

  func.return %1 : tensor<i32>
}

}

// -----

module attributes {tf_saved_model.semantics} {

// Test sinks in HashTableV2 op to batch function.

// CHECK-LABEL: func private @batched_function
func.func private @batched_function(%arg0: tensor<1xi32>, %arg1: tensor<*x!tf_type.resource>) -> tensor<1xi32>

    %cst = arith.constant dense<[1, 2, 3, 4]> : tensor<4xi64>
    %cst_0 = arith.constant dense<["a", "b", "c", "d"]> : tensor<4x!tf_type.string>
    %0 = "tf.HashTableV2"() {container = "", device = "", key_dtype = i64, shared_name = "hash_table_dba2ccaa-f1b1-46d6-b276-98008f69da71", use_node_name_sharing = false, value_dtype = !tf_type.string} : () -> tensor<!tf_type.resource>

  // CHECK: @legacy_init_op
  func.func @legacy_init_op(%arg0: tensor<!tf_type.string> {tf_saved_model.bound_input = @asset}) attributes {tf_saved_model.exported_names = ["f"]} {
    %0 = "tf.HashTableV2"() {container = "", device = "", key_dtype = !tf_type.string, shared_name = "hash_table_shared_name", use_node_name_sharing = false, value_dtype = i64} : () -> tensor<!tf_type.resource>

    // expected-remark@+1 {{Cost: 1}}
    %default = "tf.Const"() {device = "/job:localhost/replica:0/task:0/device:CPU:0", value = dense<-1> : tensor<i64>} : () -> tensor<i64>
    // expected-remark@+1 {{Cost: 1}}
    %0 = "tf.HashTableV2"() {container = "", device = "/job:localhost/replica:0/task:0/device:CPU:0", key_dtype = !tf_type.string, shared_name = "hash_table", use_node_name_sharing = false, value_dtype = i64} : () -> tensor<!tf_type.resource>

  %error_message = "tf.Const"() {value = dense<"error"> : tensor<!tf_type.string>} : () -> tensor<!tf_type.string>
  %default = "tf.Const"() {value = dense<-1> : tensor<i64>} : () -> tensor<i64>
  %handle = "tf.HashTableV2"() {container = "", device = "/job:localhost/replica:0/task:0/device:CPU:0", key_dtype = !tf_type.string, shared_name = "hash_table", use_node_name_sharing = false, value_dtype = i64} : () -> tensor<!tf_type.resource>

}

// CHECK-LABEL: testHashTableAndInitializeTableToV2
func.func @testHashTableAndInitializeTableToV2(%arg0: tensor<!tf_type.string>) {
  // CHECK: [[handle:%.*]] = "tf.HashTableV2"()
  // CHECK-SAME: container = ""
  // CHECK-SAME: key_dtype = !tf_type.string
  // CHECK-SAME: shared_name = "table"
  // CHECK-SAME: value_dtype = i32
  // CHECK-SAME: device = ""

    // expected-remark@above {{Successors: {6}}}
        %handle1 = "tf.HashTableV2"() {container = "", device = "", key_dtype = !tf_type.string, shared_name = "some_name", use_node_name_sharing = false, value_dtype = i64} : () -> tensor<!tf_type.resource>
        // expected-remark@above {{ID: 0}}

  );

  let results = (outs
    Res<TF_StrTensor, [{Handle to a table.}], [TF_LookupTableAlloc]>:$table_handle
  );

  let hasCanonicalizer = 1;
}

def TF_HashTableV2Op : TF_Op<"HashTableV2", []> {
  let summary = "Creates a non-initialized hash table.";

  let description = [{
This op creates a hash table, specifying the type of its keys and values.