"//tensorflow:android": [
            "//tensorflow/c/experimental/stream_executor:stream_executor_hdrs",
            "//tensorflow/core:portable_tensorflow_lib_lite",
        ],
        "//conditions:default": [
            ":tf_tensor",
            "//tensorflow/c/experimental/stream_executor",
            "//tensorflow/c/experimental/stream_executor:stream_executor_internal",
            "//tensorflow/core:framework",

  TF_RETURN_IF_ERROR(op->Reset("ZerosLike", /*raw_device_name=*/nullptr));
  if (isa<tracing::TracingOperation>(op.get())) {
    TF_RETURN_IF_ERROR(dyn_cast<tracing::TracingOperation>(op.get())->SetOpName(
        absl::StrCat("ZerosLike", ToId(t)).c_str()));
  }
  TF_RETURN_IF_ERROR(op->AddInput(t));
  int num_outputs = 1;
  std::vector<AbstractTensorHandle*> outputs(num_outputs);
  TF_RETURN_IF_ERROR(

  switch (ctx.device_type) {
    case DLDeviceType::kDLCPU:
      return "CPU:0";
    case DLDeviceType::kDLCUDA:
      return absl::StrCat("GPU:", ctx.device_id);
    case DLDeviceType::kDLROCM:
      return absl::StrCat("GPU:", ctx.device_id);
    default:
      return absl::nullopt;
  }
}

// Converts DLPack data type to TF_DATATYPE.

};

struct TFE_MonitoringCounter0 : TFE_MonitoringCounter<0> {
  using TFE_MonitoringCounter::TFE_MonitoringCounter;
};
struct TFE_MonitoringCounter1 : TFE_MonitoringCounter<1> {
  using TFE_MonitoringCounter::TFE_MonitoringCounter;
};
struct TFE_MonitoringCounter2 : TFE_MonitoringCounter<2> {
  using TFE_MonitoringCounter::TFE_MonitoringCounter;
};

struct TFE_MonitoringIntGaugeCell {

#include "tensorflow/core/framework/function.pb.h"
#include "tensorflow/core/framework/op_def.pb.h"
#include "tensorflow/core/framework/tensor.pb.h"
#include "tensorflow/core/platform/logging.h"
#include "tensorflow/core/platform/strcat.h"
#include "tensorflow/core/public/session_options.h"

using tensorflow::GraphDef;
using tensorflow::NodeDef;

static void BoolDeallocator(void* data, size_t, void* arg) {
  delete[] static_cast<bool*>(data);
}

#include "tensorflow/core/framework/attr_value.pb.h"

// An equivalent of a tensorflow::NameAttrList protocol buffer, but used in ways
// that sometimes do not require serialization.
typedef struct TFE_OpAttrs TFE_OpAttrs;

typedef struct TFE_Context TFE_Context;
typedef struct TFE_Op TFE_Op;

namespace tensorflow {
DEFINE_CONVERSION_FUNCTIONS(tensorflow::AbstractOpAttrs, TFE_OpAttrs);

// Set an AttrValue on the op. Doesn't handle the list types.

#define TENSORFLOW_C_EAGER_TFE_CANCELLATION_MANAGER_INTERNAL_H_

#include "tensorflow/c/conversion_macros.h"
#include "tensorflow/core/framework/cancellation.h"

struct TFE_CancellationManager;
typedef struct TFE_CancellationManager TFE_CancellationManager;

namespace tensorflow {
DEFINE_CONVERSION_FUNCTIONS(tensorflow::CancellationManager,
                            TFE_CancellationManager);

diff --git a/iconv/gconv.h b/iconv/gconv.h
index 3f9112e..8e60197 100644
--- a/iconv/gconv.h
+++ b/iconv/gconv.h
@@ -174,7 +174,7 @@ typedef struct __gconv_info
 {
   size_t __nsteps;
   struct __gconv_step *__steps;
-  __extension__ struct __gconv_step_data __data __flexarr;
+  __extension__ struct __gconv_step_data __data[0];
 } *__gconv_t;
 
 #endif /* gconv.h */
diff --git a/include/libc-symbols.h b/include/libc-symbols.h

*   Keep API compatibility in mind when you change code in core TensorFlow,
    e.g., code in
    [tensorflow/core](https://github.com/tensorflow/tensorflow/tree/master/tensorflow/core)
    and
    [tensorflow/python](https://github.com/tensorflow/tensorflow/tree/master/tensorflow/python).
    TensorFlow has passed version 1.0 and hence cannot make
    non-backward-compatible API changes without a major release. Reviewers of

// stable and can change without notice.

#include "tensorflow/c/c_api.h"
#include "tensorflow/c/c_api_macros.h"

#ifdef __cplusplus
extern "C" {
#endif

typedef struct TFE_ContextOptions TFE_ContextOptions;

// Return a new options object.
TF_CAPI_EXPORT extern TFE_ContextOptions* TFE_NewContextOptions(void);

// Set the config in TF_ContextOptions.options.