/*expected_max_outputs=*/1, status.get());
  ASSERT_FALSE(TF_GetCode(status.get()) == TF_OK);
  TF_SetStatus(status.get(), TF_OK, "");

  // Check that ops still run successfully on the device.
  parallel_device.Execute(context.get(), std::vector<ParallelTensor*>(),
                          "VarHandleOp", TFE_OpGetAttrs(handle_op.get()),

//tensorflow/cc/saved_model:saved_model_half_plus_two
//tensorflow:no_tensorflow_py_deps
//tensorflow/tools/pip_package:win_pip_package_marker
//tensorflow/core:image_testdata
//tensorflow/core/kernels/cloud:bigquery_reader_ops
//tensorflow/python:extra_py_tests_deps
//tensorflow/python:mixed_precision
//tensorflow/python:tf_optimizer
//tensorflow/python:compare_test_proto_py
//tensorflow/python/framework:test_file_system.so

                           void* device_info) {
  const char* requested_placement = TFE_OpGetDevice(original_op, status);
  if (*requested_placement == '\0') {
    TF_SetStatus(
        status, TF_INTERNAL,
        "Ops must be placed on the parallel device explicitly, or their inputs "
        "first un-packed. Got an un-placed op with an input placed on the "
        "parallel device.");
    return;
  }

  exitCommand: ""

## List of command to run after minio install
## NOTE: the mc command TARGET is always "myminio"
customCommands:
  # - command: "admin policy attach myminio consoleAdmin --group='cn=ops,cn=groups,dc=example,dc=com'"

## Additional Annotations for the Kubernetes Job customCommandJob
customCommandJob:
  securityContext:
    enabled: false
    runAsUser: 1000
    runAsGroup: 1000
  resources:

		adminLogIf(ctx, err)
		writeErrorResponseJSON(ctx, w, toAdminAPIErr(ctx, err), r.URL)
		return
	}
}

// SRPeerBucketOps - PUT /minio/admin/v3/site-replication/bucket-ops?bucket=x&operation=y
func (a adminAPIHandlers) SRPeerBucketOps(w http.ResponseWriter, r *http.Request) {
	ctx := r.Context()

	objectAPI, _ := validateAdminReq(ctx, w, r, policy.SiteReplicationOperationAction)

    const int64_t op = op_stack.back();
    VLOG(1) << "Popped " << op;
    op_stack.pop_back();
    auto op_it = state.op_tape.find(op);
    if (op_it == state.op_tape.end()) {
      // It is possible for ops to end up on the stack if they are unrelated to
      // the target; we should just skip them.
      continue;
    }
    auto trace = std::move(op_it->second);
    state.op_tape.erase(op_it);

      ASSERT_EQ(expected[i], data[i]) << "Different data at index " << i;
    }
  }

  std::vector<TF_Output> ToOutput(const std::vector<TF_Operation*> ops) {
    std::vector<TF_Output> out;
    for (auto op : ops) {
      out.push_back({op, 0});
    }
    return out;
  }

  void Define(int num_opers, const std::vector<TF_Operation*>& opers,

      // otherwise have another task queued on to it. Note the exception to this, cancellation, is
      // specially handled in execute() - execute() calls triggered by cancellation are no-ops, and
      // thus don't count.
      requireNonNull(sequencer).latestTaskQueue = executingTaskQueue;
      sequencer = null;
      try {
        // requireNonNull is safe, as discussed above.

// --------------------------------------------------------------------------
// Load plugins containing custom ops and kernels

// TF_Library holds information about dynamically loaded TensorFlow plugins.
typedef struct TF_Library TF_Library;

// Load the library specified by library_filename and register the ops and
// kernels present in that library.
//

                  },
                  {
                    "color": "red",
                    "value": 80
                  }
                ]
              },
              "unit": "ops"
            },
            "overrides": []
          },
          "gridPos": {
            "h": 8,
            "w": 8,
            "x": 0,
            "y": 15
          },
          "id": 622,