// execution.
  virtual absl::Status EnableCollectiveOps(const ServerDef& server_def) = 0;

  // Check if the remote task is alive.
  virtual absl::Status CheckRemoteAlive(const std::string& remote_task_name,
                                        bool* is_alive) = 0;

  // Get pointer to the coordination service agent instance.

                         absl::Span<AbstractTensorHandle* const> inputs,
                         absl::Span<AbstractTensorHandle*> outputs) {
  return ops::MatMul(ctx, inputs[0], inputs[1], &outputs[0],
                     /*transpose_a=*/false,
                     /*transpose_b=*/false, "MatMul");
}

absl::Status MulModel(AbstractContext* ctx,
                      absl::Span<AbstractTensorHandle* const> inputs,

 */

package promotion

import common.VersionedSettingsBranch
import jetbrains.buildServer.configs.kotlin.ParameterDisplay

const val FINAL_RELEASE_BUILD_CONFIGURATION_ID = "Promotion_FinalRelease"
const val RELEASE_CANDIDATE_BUILD_CONFIGURATION_ID = "Promotion_ReleaseCandidate"
const val MILESTONE_BUILD_CONFIGURATION_ID = "Promotion_Milestone"

abstract class PublishRelease(
    prepTask: String,
    promoteTask: String,

void TF_AbstractOpSetOpType(TF_AbstractOp* op, const char* const op_type,
                            TF_Status* s);
// `op_name` must outlive `op`.
void TF_AbstractOpSetOpName(TF_AbstractOp* op, const char* const op_name,
                            TF_Status* s);
// `attr_name` must outlive `op`.
void TF_AbstractOpSetAttrType(TF_AbstractOp* op, const char* const attr_name,

                                              const char* target_device_name,
                                              TF_Status* status,
                                              void* device_info) {
  TF_SetStatus(status, TF_INTERNAL,
               "Trying to copy a tensor out of a logging device.");
  return nullptr;
}

void LoggingDeviceExecute(const TFE_Op* original_op, int* num_outputs,

  // FunctionDef. The name is in fdef.signature.name.
  virtual absl::Status RemoveFunction(const string& func) = 0;

 private:
  const AbstractContextKind kind_;
};

namespace internal {
struct AbstractContextDeleter {
  void operator()(AbstractContext* p) const {
    if (p != nullptr) {
      p->Release();
    }
  }
};
}  // namespace internal

using AbstractContextPtr =

hlp1, hlp0 MUL const0, hlp1, t0 ADDS t0, acc1, acc1 UMULH const0, hlp0, t1 MUL const1, hlp0, t0 ADCS t0, acc2, acc2 UMULH const1, hlp0, y0 MUL const2, hlp0, t0 ADCS t0, acc3, acc3 UMULH const2, hlp0, acc1 MUL const3, hlp0, t0 ADCS t0, acc0, acc0 UMULH const3, hlp0, hlp0 ADC $0, hlp0 ADDS t1, acc2, acc2 ADCS y0, acc3, acc3 ADCS acc1, acc0, acc0 ADC $0, hlp0, acc1 // Third reduction step MUL acc2, hlp1, hlp0 MUL const0, hlp1, t0 ADDS t0, acc2, acc2 UMULH const0, hlp0, t1 MUL const1, hlp0, t0 ADCS t0,...

#include "tensorflow/c/eager/tfe_monitoring_reader_internal.h"

template <typename... LabelType>
int64_t TFE_MonitoringCounterReader::Read(const LabelType&... labels) {
  return counter->Read(labels...);
}

TFE_MonitoringCounterReader* TFE_MonitoringNewCounterReader(const char* name) {
  auto* result = new TFE_MonitoringCounterReader(name);

  return result;
}

      : error_node_(error_node), error_device_(error_device) {}
  absl::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,

    companion object {
        const val REPOSITORY_CONTEXT_KEY = "binaryCompatibilityRepository"
    }

    /**
     * Each param is a `Set<String>`.
     */
    object Params {
        const val sourceRoots = "sourceRoots"
        const val sourceCompilationClasspath = "sourceCompilationClasspath"
    }

    @Suppress("unchecked_cast")