namespace tf_read_only_memory_region {
typedef struct GCSMemoryRegion {
  const void* const address;
  const uint64_t length;
} GCSMemoryRegion;

void Cleanup(TF_ReadOnlyMemoryRegion* region) {
  auto r = static_cast<GCSMemoryRegion*>(region->plugin_memory_region);
  plugin_memory_free(const_cast<void*>(r->address));
  delete r;
}

const void* Data(const TF_ReadOnlyMemoryRegion* region) {

TF_CAPI_EXPORT extern TF_CheckpointReader* TF_NewCheckpointReader(
    const char* filename, TF_Status* status);
TF_CAPI_EXPORT extern void TF_DeleteCheckpointReader(
    TF_CheckpointReader* reader);
TF_CAPI_EXPORT extern int TF_CheckpointReaderHasTensor(
    TF_CheckpointReader* reader, const char* name);
// Get the variable name at the given index
TF_CAPI_EXPORT extern const char* TF_CheckpointReaderGetVariable(

  virtual Status AddFunctionDefWithStackTraces(
      const FunctionDef& fdef, const StackTracesMap& stack_traces) = 0;

  // Find and return a added function by its name.
  virtual const FunctionDef* FindFunctionDef(const string& name) const = 0;

  // Find and return a function record added by its name.
  virtual core::RefCountPtr<FunctionRecord> FindRecord(
      const string& name) const = 0;

    companion object {
      const val PROPERTY_NAME = "okhttp.platform"
      const val CONSCRYPT_PROPERTY = "conscrypt"
      const val CORRETTO_PROPERTY = "corretto"
      const val JDK9_PROPERTY = "jdk9"
      const val JDK8_ALPN_PROPERTY = "jdk8alpn"
      const val JDK8_PROPERTY = "jdk8"
      const val OPENJSSE_PROPERTY = "openjsse"
      const val BOUNCYCASTLE_PROPERTY = "bouncycastle"

      : error_node_(error_node), error_device_(error_device) {}
  tensorflow::Status Run(const std::string& function_name,
                         const tensorflow::DeviceSet& device_set,
                         const tensorflow::ConfigProto& config_proto,
                         const FunctionOptions& function_options,
                         std::unique_ptr<tensorflow::Graph>* graph,

  const size_t block_size_;
  /// The maximum number of bytes (sum of block sizes) allowed in the LRU cache.
  const size_t max_bytes_;
  /// The maximum staleness of any block in the LRU cache, in seconds.
  const uint64_t max_staleness_;
  /// The callback to read a block from the underlying filesystem.
  const BlockFetcher block_fetcher_;
  /// The callback to read timestamps.

    RemoveBlock(block_map_.find(lru_list_.back()));
  }
}

/// Move the block to the front of the LRU list if it isn't already there.
void RamFileBlockCache::UpdateLRU(const Key& key,
                                  const std::shared_ptr<Block>& block,
                                  TF_Status* status) {
  absl::MutexLock lock(&mu_);
  if (block->timestamp == 0) {

	}))

	// local to remote
	remoteConn := local.Connection(remoteHost)
	remoteConn.WaitForConnect(context.Background())
	defer testlogger.T.SetErrorTB(t)()

	t.Run("localToRemote", func(t *testing.T) {
		const testPayload = "Hello Grid World!"

		start := time.Now()
		resp, err := remoteConn.Request(context.Background(), handlerTest, []byte(testPayload))
		errFatal(err)
		if string(resp) != testPayload {

GradientFunction* SqrtRegisterer(const ForwardOperation& op) {
  return new SqrtGradientFunction(op.outputs[0]);
}

GradientFunction* NegRegisterer(const ForwardOperation& op) {
  return new NegGradientFunction;
}

GradientFunction* SubRegisterer(const ForwardOperation& op) {
  return new SubGradientFunction;
}

GradientFunction* MulRegisterer(const ForwardOperation& op) {
  return new MulGradientFunction(op.inputs);
}

        << "Mismatch in expected values at (zero-based) index " << i;
  }
}

void CheckRemoteMatMulExecutesOK(TFE_Context* ctx,
                                 const char* remote_device_name,
                                 const char* local_device_name) {
  TF_Status* status = TF_NewStatus();
  TFE_TensorHandle* h0_task0 = TestMatrixTensorHandle(ctx);

  TFE_Op* matmul = MatMulOp(ctx, h0_task0, h0_task0);