namespace ops {

// Op: Neg()
// Summary:
//
// Description:
Status Neg(AbstractContext* ctx, AbstractTensorHandle* const x, AbstractTensorHandle** y, const char* name, const char* raw_device_name) {
  AbstractOperationPtr op_ptr(ctx->CreateOperation());
  TF_RETURN_IF_ERROR(op_ptr->Reset("Neg", raw_device_name));
  TF_RETURN_IF_ERROR(MaybeSetOpName(op_ptr.get(), name));
  TF_RETURN_IF_ERROR(op_ptr->AddInput(x));
  int num_retvals = 1;

                                           AbstractTensorHandle** backprop,
                                           const char* name,
                                           const char* raw_device_name) {
  AbstractOperationPtr op_ptr(ctx->CreateOperation());
  TF_RETURN_IF_ERROR(
      op_ptr->Reset("SparseSoftmaxCrossEntropyWithLogits", raw_device_name));
  TF_RETURN_IF_ERROR(MaybeSetOpName(op_ptr.get(), name));

                   const char* container, const char* shared_name,
                   absl::Span<string const> allowed_devices, const char* name,
                   const char* raw_device_name) {
  AbstractOperationPtr op_ptr(ctx->CreateOperation());
  TF_RETURN_IF_ERROR(op_ptr->Reset("VarHandleOp", raw_device_name));
  TF_RETURN_IF_ERROR(MaybeSetOpName(op_ptr.get(), name));
  TF_RETURN_IF_ERROR(

//
// Description:
Status Identity(AbstractContext* ctx, AbstractTensorHandle* const input,
                AbstractTensorHandle** output, const char* name,
                const char* raw_device_name) {
  AbstractOperationPtr op_ptr(ctx->CreateOperation());
  TF_RETURN_IF_ERROR(op_ptr->Reset("Identity", raw_device_name));
  TF_RETURN_IF_ERROR(MaybeSetOpName(op_ptr.get(), name));
  TF_RETURN_IF_ERROR(op_ptr->AddInput(input));

                 absl::Span<AbstractTensorHandle*> tensors,
                 absl::Span<DataType> dtypes, const char* name,
                 const char* raw_device_name) {
  AbstractOperationPtr op_ptr(ctx->CreateOperation());
  TF_RETURN_IF_ERROR(op_ptr->Reset("RestoreV2", raw_device_name));
  TF_RETURN_IF_ERROR(MaybeSetOpName(op_ptr.get(), name));
  TF_RETURN_IF_ERROR(op_ptr->AddInput(prefix));

#include "tensorflow/core/platform/statusor.h"

namespace tf {
namespace libtf {

using tensorflow::AbstractContext;
using tensorflow::AbstractFunctionPtr;
using tensorflow::AbstractOperationPtr;
using tensorflow::AbstractTensorHandle;
using tensorflow::Status;
using tensorflow::StatusOr;

// TODO(srbs): Move this to unified execution API.
tensorflow::Status ExecuteFunction(

    RenderExecutionSingleOutput();
  } else {
    RenderExecutionMultipleOutputs();
  }
}

void OpImplementationRenderer::RenderInitialization() {
  // Create Op variable and initialize it
  Statement("AbstractOperationPtr $0(ctx->CreateOperation())",
            op_.VariableName());
  TFStatement(Call(op_.VariableName(), "Reset",
                   {op_.OpNameString(), "raw_device_name"}));

      scoped_func.reset(func);
      for (auto output : output_list.outputs) {
        output->Unref();
      }
      TF_RETURN_IF_ERROR(ctx->RegisterFunction(func));
    }

    AbstractOperationPtr fn_op(ctx->CreateOperation());
    TF_RETURN_IF_ERROR(fn_op->Reset(fn_name, /*raw_device_name=*/nullptr));
    for (auto input : inputs) {
      TF_RETURN_IF_ERROR(fn_op->AddInput(input));
    }

  {
    AbstractTensorHandle* x_raw = nullptr;
    Status s = TestScalarTensorHandle<float, TF_FLOAT>(ctx.get(), 1.0f, &x_raw);
    ASSERT_EQ(errors::OK, s.code()) << s.message();
    t.reset(x_raw);
  }

  AbstractOperationPtr check_numerics_op(ctx->CreateOperation());
  ForwardOperation forward_op;
  Status s = Reset(check_numerics_op.get(), "CheckNumerics",
                   /*raw_device_name=*/nullptr, &forward_op);

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

using AbstractOperationPtr =
    std::unique_ptr<AbstractOperation, internal::AbstractOperationDeleter>;

}  // namespace tensorflow