graph_def->length));
  TF_Buffer graph_def_buffer;
  graph_def_buffer.data = reinterpret_cast<const void*>(&graph_def_proto);
  graph_def_buffer.length = sizeof(tensorflow::GraphDef*);
  TF_ImportGraphDefResults* results =
      TF_GraphImportGraphDefWithResultsNoSerialization(graph, &graph_def_buffer,
                                                       opts, s);

        ],
    }),
)

cc_library(
    name = "tf_buffer_hdrs",
    hdrs = [
        "tf_buffer.h",
    ],
    visibility = ["//visibility:public"],
    deps = [
        ":c_api_macros_hdrs",
    ],
)

cc_library(
    name = "tf_buffer",
    srcs = [
        "tf_buffer.cc",
    ],
    hdrs = [
        "tf_buffer.h",
    ],
    copts = tf_copts(),

  }
  *result = TF_TensorFromTensor(**status_or, &status->status);
  return status->status.ok();
}

TF_ApiDefMap* TF_NewApiDefMap(TF_Buffer* op_list_buffer, TF_Status* status) {
  tensorflow::OpList op_list;
  if (!op_list.ParseFromArray(op_list_buffer->data, op_list_buffer->length)) {
    status->status = InvalidArgument("Unparseable OpList");
    return nullptr;
  }
  status->status = absl::OkStatus();

// Serialize `attrs` as a tensorflow::NameAttrList protocol buffer (into `buf`),
// containing the op name and a map of its attributes.
TF_CAPI_EXPORT extern void TFE_OpAttrsSerialize(const TFE_OpAttrs* attrs,
                                                TF_Buffer* buf,
                                                TF_Status* status);

// Set an op's attribute from a serialized AttrValue protocol buffer.
//

  // functions, and their send/recvs corountines).
  config.set_inter_op_parallelism_threads(1);

  TF_Buffer* ret = TF_NewBuffer();
  TF_CHECK_OK(MessageToBuffer(config, ret));
  return ret;
}

TF_Buffer* TF_CreateRunOptions(unsigned char enable_full_trace) {
  tensorflow::RunOptions options;
  if (enable_full_trace) {

                                      const char* value) {
  cell->cell.Set({value});
}

const void TFE_MonitoringStringGaugeCellValue(
    TFE_MonitoringStringGaugeCell* cell, TF_Buffer* buf) {
  tensorflow::string value = cell->cell.value();
  void* data = tensorflow::port::Malloc(value.length());
  value.copy(static_cast<char*>(data), value.length(), 0);
  buf->data = data;

    }
    TF_Status c_status;
    std::unique_ptr<TF_Buffer, decltype(&TF_DeleteBuffer)> summary_buffer(
        methods_.summarize(data_, &c_status), TF_DeleteBuffer);
    if (!c_status.status.ok()) {
      return c_status.status;
    }
    summary = std::string(reinterpret_cast<const char*>(summary_buffer->data),
                          summary_buffer->length);
    return absl::OkStatus();
  }

 private:

  delete posix_file;
}

static int64_t Read(const TF_RandomAccessFile* file, uint64_t offset, size_t n,
                    char* buffer, TF_Status* status) {
  auto posix_file = static_cast<PosixFile*>(file->plugin_file);
  char* dst = buffer;
  int64_t read = 0;

  while (n > 0) {
    // Some platforms, notably macs, throw `EINVAL` if `pread` is asked to read
    // more than fits in a 32-bit integer.

    ([CVE-2021-37649](https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2021-37649))
*   Fixes a segfault and a heap buffer overflow in
    `{Experimental,}DatasetToTFRecord`
    ([CVE-2021-37650](https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2021-37650))
*   Fixes a heap buffer overflow in `FractionalAvgPoolGrad`
    ([CVE-2021-37651](https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2021-37651))

#include <algorithm>
#include <unordered_map>
#include <unordered_set>
#include <utility>

#include "absl/strings/match.h"
#include "tensorflow/c/c_api_internal.h"
#include "tensorflow/c/tf_buffer_internal.h"
#include "tensorflow/core/framework/attr_value_util.h"
#include "tensorflow/core/framework/function.h"
#include "tensorflow/core/framework/function.pb.h"
#include "tensorflow/core/framework/graph_to_functiondef.h"