new GradientTape<Gradient, BackwardFunction, TapeTensor>(false));
  AccumulatorCallState& call_state = call_state_.top();
  call_state.backward_tape = tape.get();
  auto pop_backward_tape =
      gtl::MakeCleanup([&call_state] { call_state.backward_tape = nullptr; });
  std::vector<Gradient*> forwardprop_aids;
  std::vector<int64_t> sources;
  std::unordered_set<int64_t> sources_set;

      TF_SetPayload(&s, tensorflow::CoordinationErrorPayloadKey().data(),
                    error.SerializeAsString().c_str());
    }
    *state_iter = std::move(s);
    ++state_iter;
  }
  status->status = absl::OkStatus();
}

void TFE_WaitAtBarrier(TFE_Context* ctx, const char* barrier_id,
                       int64_t barrier_timeout_in_ms, TF_Status* status) {

        "//tensorflow/core:no_op_op_lib",
        "//tensorflow/core:protos_all_cc",
        "//tensorflow/core:sendrecv_ops_op_lib",
        "//tensorflow/core:spectral_ops_op_lib",
        "//tensorflow/core:state_ops_op_lib",
        "//tensorflow/core:test",
        "//tensorflow/core:test_main",
        "//tensorflow/core/kernels:array",
        "//tensorflow/core/kernels:control_flow_ops",

    *handle = buf;
  }
}

void TF_DeletePRunHandle(const char* handle) {
  delete[] handle;
  // TODO(suharshs): Free up any resources held by the partial run state.
}

void TF_SessionPRun(TF_Session* session, const char* handle,
                    const TF_Output* inputs, TF_Tensor* const* input_values,
                    int ninputs, const TF_Output* outputs,

    states. Specifically, it no longer ever drops the `c` (memory) state of an
    `LSTMStateTuple`. The new behavior leads to proper dropout behavior for
    LSTMs and stacked LSTMs. This bug fix follows recommendations from published
    literature, but is a behavioral change. State dropout behavior may be
    customized via the new `dropout_state_filter_visitor` argument.