void CreateEvent(const SP_Device* const device, SP_Event* event,
                 TF_Status* const status) {
  *event = nullptr;
}
void DestroyEvent(const SP_Device* const device, SP_Event event) {}
SE_EventStatus GetEventStatus(const SP_Device* const device, SP_Event event) {
  return SE_EVENT_UNKNOWN;
}
void RecordEvent(const SP_Device* const device, SP_Stream stream,

TF_Operation* Placeholder(TF_Graph* graph, TF_Status* s,
                          const char* name = "feed",
                          TF_DataType dtype = TF_INT32,
                          const std::vector<int64_t>& dims = {});

TF_Operation* Const(TF_Tensor* t, TF_Graph* graph, TF_Status* s,
                    const char* name = "const");

TF_Operation* ScalarConst(bool v, TF_Graph* graph, TF_Status* s,

                         TF_Status* const status) -> void {
    *stream = new SP_Stream_st(1);
  };
  se_.destroy_stream = [](const SP_Device* const device,
                          SP_Stream stream) -> void { delete stream; };
  se_.create_event = [](const SP_Device* const device, SP_Event* event,
                        TF_Status* const status) -> void {
    *event = new SP_Event_st(2);
  };

                                        TF_Status* status) {
  tensorflow::unwrap(ctx)->SetRunEagerOpAsFunction(enable);
}

void TFE_ContextSetJitCompileRewrite(TFE_Context* ctx, unsigned char enable,
                                     TF_Status* status) {
  tensorflow::unwrap(ctx)->SetJitCompileRewrite(enable);
}

const char* TFE_TensorHandleDeviceType(TFE_TensorHandle* h, TF_Status* status) {
  if (h == nullptr) {

                                                    TF_Status* status);

TF_CAPI_EXPORT extern void TFE_OpSetDevice(TFE_Op* op, const char* device_name,
                                           TF_Status* status);
// The returned string remains valid throughout the lifetime of 'op'.
TF_CAPI_EXPORT extern const char* TFE_OpGetDevice(const TFE_Op* op,
                                                  TF_Status* status);

  void (*create_stream_dependency)(const SP_Device* device, SP_Stream dependent,
                                   SP_Stream other, TF_Status* status);

  // Without blocking the device, retrieve the current stream status.
  void (*get_stream_status)(const SP_Device* device, SP_Stream stream,
                            TF_Status* status);

  /*** EVENT CALLBACKS ***/
  // Create SP_Event. Performs platform-specific allocation and initialization

                                                      TF_Status* status);

// This API is for experimental usage and may be subject to change.
TF_CAPI_EXPORT extern void TFE_ContextUpdateServerDefWithTimeout(
    TFE_Context* ctx, int keep_alive_secs, const void* proto, size_t proto_len,
    int64_t init_timeout_in_ms, TF_Status* status);

// This API is for experimental usage and may be subject to change.

TF_CAPI_EXPORT extern void TF_GetInput(TF_OpKernelContext* ctx, int i,
                                       TF_Tensor** tensor, TF_Status* status);

typedef struct {
  size_t struct_size;
  void* priv;         // Not used, for possible extension.
  int start;          // output
  int stop;           // output
  TF_Status* status;  // output
} TF_InputRange_Args;
const size_t TF_InputRange_Args_STRUCT_SIZE =

#include "tensorflow/core/util/port.h"

using tensorflow::string;
using tensorflow::tstring;

TFE_TensorHandle* TestScalarTensorHandle(TFE_Context* ctx, float value) {
  float data[] = {value};
  TF_Status* status = TF_NewStatus();
  TF_Tensor* t = TFE_AllocateHostTensor(ctx, TF_FLOAT, nullptr, 0, status);
  memcpy(TF_TensorData(t), &data[0], TF_TensorByteSize(t));

                          const char* device, TF_Status* status);
  // Dereferences the backing buffer for the variable. Note that since this can
  // fail (it runs operations), it must be called explicitly and the resulting
  // `status` checked.
  void Destroy(TFE_Context* context, TF_Status* status);

  // Reads from the variable.
  TensorHandlePtr Read(TFE_Context* context, TF_Status* status);
  // Assigns a new value to the variable.