"},{"id":"decimals","value":2},{"id":"custom.align"},{"id":"custom.hidden","value":true}]}]},"gridPos":{"h":21,"w":24,"x":0,"y":12},"hideTimeOverride":false,"id":73,"links":[],"options":{"cellHeight":"sm","footer":{"countRows":false,"fields":"","reducer":["sum"],"show":false},"showHeader":true},"pluginVersion":"10.1.5","repeatDirection":"v","targets":[{"datasource":{"type":"prometheus","uid":"${datasource}"},"expr":"label_join(sum(rate(istio_requests_total{reporter=\"source\", response_code=\"200\"}[1m]))...

)

gentbl_cc_library(
    name = "tensorflow_reduce_patterns_inc_gen",
    tbl_outs = [
        (
            ["-gen-rewriters"],
            "reducer/tf_reduce_patterns.inc",
        ),
    ],
    tblgen = "@llvm-project//mlir:mlir-tblgen",
    td_file = "reducer/tf_mlir_reduce_patterns.td",
    deps = [
        "//tensorflow/compiler/mlir/tensorflow:tensorflow_ops_td_files",
    ],
)

cc_library(

      block->addArguments({type, type}, SmallVector<Location, 2>(2, loc));

      auto reducer = rewriter.create<CompareOp>(loc, block->getArgument(0),
                                                block->getArgument(1),
                                                ComparisonDirection::GE);
      rewriter.create<ReturnOp>(loc, reducer.getResult());
    }

    rewriter.replaceOp(op, result);

    return success();

    I64ArrayAttr:$dimensions_to_reduce,
    SymbolRefAttr:$reducer
  );

  let results = (outs