TypeAttr:$key_dtype,
    TypeAttr:$value_dtype
  );

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

  let builders = [
    OpBuilder<(ins "StringAttr":$container, "StringAttr":$shared_name,
      "BoolAttr":$use_node_name_sharing, "TypeAttr":$key_dtype, "TypeAttr":$value_dtype),
    [{
      build($_builder, $_state,

        writeClass(value.keyType)
        writeClass(value.valueType)
        providerCodec.run { encodeValue(value.calculateExecutionTimeValue()) }
    }

    override suspend fun ReadContext.decode(): DefaultMapProperty<*, *> {
        val keyType: Class<Any> = readClass().uncheckedCast()
        val valueType: Class<Any> = readClass().uncheckedCast()

// shaped. Otherwise, it will have a dynamic dimension.
static RankedTensorType GetExtentsTensorTypeFor(TensorType value_type) {
  Builder b(value_type.getContext());
  int64_t dim = value_type.hasRank() ? value_type.getRank() : -1;
  return tensorflow::GetTypeFromTFTensorShape({dim}, b.getIndexType());
}

// Given a value (broadcast_to) and a feature dimension, broadcasts a 1D

        variant_ty.getSubtypes()[0].getElementType());
  }
  Type value_type = value.getType();
  Type element_type;
  variant_ty = value_type.dyn_cast<TF::VariantType>();
  if (variant_ty && !variant_ty.getSubtypes().empty()) {
    element_type = variant_ty.getSubtypes()[0].getElementType();
  } else {
    element_type = getElementTypeOrSelf(value_type);
  }
  return UnrankedTensorType::get(element_type);
}

"sum(istio_build) by (component, tag)","format":"time_series","intervalFactor":1,"legendFormat":"{{ component }}: {{ tag }}","refId":"A"}],"thresholds":[],"timeRegions":[],"title":"Istio Components by Version","tooltip":{"shared":true,"sort":0,"value_type":"individual"},"type":"graph","xaxis":{"mode":"time","show":true,"values":[]},"yaxes":[{"format":"short","logBase":1,"show":true},{"format":"short","logBase":1,"show":false}],"yaxis":{"align":false}}],"schemaVersion":38,"style":"dark","tags":[]...