// CHECK-SAME: key_dtype = !tf_type.string
  // CHECK-SAME: shared_name = "table"
  // CHECK-SAME: value_dtype = i32
  // CHECK-SAME: device = ""
  // CHECK-SAME: () -> tensor<!tf_type.resource>
  %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]]

        // expected-remark@above {{ID: 0}}
        %handle2 = "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: 1}}

Before using the table you will have to initialize it.  After initialization the
table will be immutable.
  }];

  let arguments = (ins
    I32Attr:$table_id,
    TypeAttr:$key_dtype,
    TypeAttr:$value_dtype
  );

  let results = (outs TFL_ResourceTensor:$out);

  let hasOptions = 1;
}

def TFL_HashtableFindOp: TFL_Op<"hashtable_find", []> {

                                        FloatOrIntAtrr delta_attr) {
  using ValueType = typename FloatOrIntAtrr::ValueType;  // APInt or APFloat
  ValueType start = start_attr.getValue();
  ValueType delta = delta_attr.getValue();

  SmallVector<ValueType, 16> new_values;
  new_values.reserve(num_elements);
  ValueType new_value = start;
  for (int i = 0; i < num_elements; ++i) {

                                        FloatOrIntAtrr delta_attr) {
  using ValueType = typename FloatOrIntAtrr::ValueType;  // APInt or APFloat
  ValueType start = start_attr.getValue();
  ValueType delta = delta_attr.getValue();

  SmallVector<ValueType, 16> new_values;
  new_values.reserve(num_elements);
  ValueType new_value = start;
  for (int i = 0; i < num_elements; ++i) {
    new_values.push_back(new_value);

by (tag)", "format": "time_series", "intervalFactor": 1, "legendFormat": "{{ tag }}", "refId": "A" } ], "thresholds": [], "timeFrom": null, "timeRegions": [], "timeShift": null, "title": "Pilot Versions", "tooltip": { "shared": true, "sort": 0, "value_type": "individual" }, "type": "graph", "xaxis": { "buckets": null, "mode": "time", "name": null, "show": true, "values": [] }, "yaxes": [ { "format": "short", "label": null, "logBase": 1, "max": null, "min": null, "show": true }, { "format": "short",...

  if (!lookup_type.hasStaticShape()) {
    return nullptr;
  }
  auto value_type = mlir::cast<ShapedType>(value.getType());
  if (!value_type.hasStaticShape() || value_type.getRank() != 2) {
    return nullptr;
  }
  SmallVector<int64_t> new_shape = {lookup_type.getNumElements(),
                                    value_type.getDimSize(0)};
  return value_type.clone(new_shape);
}

                        // GENERATE factory.newInstance(this, propertyName, propType, keyType, valueType)
                        Type keyType = getType(rawTypeParam(property, 0));
                        Type valueType = getType(rawTypeParam(property, 1));
                        _LDC(propType);
                        _LDC(keyType);
                        _LDC(valueType);

const expectedTypes = configTypes[property]\n        const value         = config[property]\n        const valueType     = value && Util.isElement(value)\n          ? 'element' : toType(value)\n\n        if (!new RegExp(expectedTypes).test(valueType)) {\n          throw new Error(\n            `${componentName.toUpperCase()}: ` +\n            `Option \"${property}\" provided type \"${valueType}\" ` +\n            `but expected type \"${expectedTypes}\".`)\n        }\n      }\n    }\n  },\n\n  findShadowRoot(element)...

const expectedTypes = configTypes[property]\n        const value         = config[property]\n        const valueType     = value && Util.isElement(value)\n          ? 'element' : toType(value)\n\n        if (!new RegExp(expectedTypes).test(valueType)) {\n          throw new Error(\n            `${componentName.toUpperCase()}: ` +\n            `Option \"${property}\" provided type \"${valueType}\" ` +\n            `but expected type \"${expectedTypes}\".`)\n        }\n      }\n    }\n  },\n\n  findShadowRoot(element)...