return nullptr;
}

}  // end namespace tracing
}  // end namespace tensorflow

// =============================================================================
// Public C API entry points
//
// These are only the generic entry points for the C API. This file does not
// have any visibility into the graph/eager implementation and is only providing
// C bindings to the abstract classes defined in the

#include "tensorflow/core/lib/llvm_rtti/llvm_rtti.h"
#include "tensorflow/core/platform/strcat.h"

// =============================================================================
// Public C API entry points
// These are only the entry points specific to the Eager API.
// =============================================================================

using tensorflow::AbstractContext;
using tensorflow::AbstractTensorHandle;

  EXPECT_EQ("test/gauge", metrics->point_set_map.at("test/gauge")->metric_name);
  EXPECT_EQ(1,
            metrics->point_set_map.at("test/gauge")->points.at(0)->int64_value);

  TFE_MonitoringIntGaugeCellSet(cell, 5);
  metrics = collection_registry->CollectMetrics(options);
  EXPECT_EQ(5,
            metrics->point_set_map.at("test/gauge")->points.at(0)->int64_value);
  TFE_MonitoringDeleteIntGauge0(gauge);

// explicitly by running a TPUReplicatedOutput operation on the parallel device.
//
// TODO(allenl): There are some use-cases that are only supported by copying to
// host at the moment (e.g. debug print on a tensor, .numpy(), etc.). We either
// need to return something here or address these use-cases one by one.
TFE_TensorHandle* CopyTensorFromParallelDevice(TFE_Context* context,