%handle = "tf.HashTable"() {container = "", device = "", shared_name = "table", key_dtype = !tf_type.string, value_dtype = i32} : () -> tensor<*x!tf_type.stringref>

  // CHECK: "tf.InitializeTableFromTextFileV2"([[handle]]
  // CHECK-SAME: device = ""
  "tf.InitializeTableFromTextFile"(%handle, %arg0) {device = "", key_index=1, value_index=1, delimiter="\t"} : (tensor<*x!tf_type.stringref>, tensor<!tf_type.string>) -> ()

allocate buffer space to receive the device output from all replicas, which is
not required. We can use the output of first replica in such cases.
### `-tf-init-text-file-to-import`

_Convert InitializeTableFromTextFileV2 ops to LookupTableImportV2Op to remove the dependency on asset files_


#### Options
```

    DefaultValuedOptionalAttr<I64Attr, "0">:$offset
  );

  let results = (outs);
}

def TF_InitializeTableFromTextFileV2Op : TF_Op<"InitializeTableFromTextFileV2", []> {
  let summary = "Initializes a table from a text file.";

  let description = [{
It inserts one key-value pair into the table for each line of the file.