pkg log/slog, const KindTime = 6 #56345
pkg log/slog, const KindTime Kind #56345
pkg log/slog, const KindUint64 = 7 #56345
pkg log/slog, const KindUint64 Kind #56345
pkg log/slog, const LevelDebug = -4 #56345
pkg log/slog, const LevelDebug Level #56345
pkg log/slog, const LevelError = 8 #56345
pkg log/slog, const LevelError Level #56345
pkg log/slog, const LevelInfo = 0 #56345

    const TF_Operation* const* opers, int ninputs, const TF_Output* inputs,
    int noutputs, const TF_Output* outputs, const char* const* output_names,
    int ncontrol_outputs, const TF_Operation* const* control_outputs,
    const char* const* control_output_names, const TF_FunctionOptions* opts,
    const char* description, TF_Status* status) {
  tensorflow::mutex_lock l(fn_body->mu);

  // Process inputs.

import * as fs from 'fs'

async function modifyOpenAPIFile(filePath) {
  try {
    const data = await fs.promises.readFile(filePath)
    const openapiContent = JSON.parse(data)

    const paths = openapiContent.paths
    for (const pathKey of Object.keys(paths)) {
      const pathData = paths[pathKey]
      for (const method of Object.keys(pathData)) {
        const operation = pathData[method]
        if (operation.tags && operation.tags.length > 0) {

}

void TF_SetAttrString(TF_OperationDescription* desc, const char* attr_name,
                      const void* value, size_t length) {
  tensorflow::StringPiece s(static_cast<const char*>(value), length);
  desc->node_builder.Attr(attr_name, s);
}

void TF_SetAttrStringList(TF_OperationDescription* desc, const char* attr_name,
                          const void* const* values, const size_t* lengths,

    const TF_Graph* fn_body, const char* fn_name,
    unsigned char append_hash_to_fn_name, int num_opers,
    const TF_Operation* const* opers, int ninputs, const TF_Output* inputs,
    int noutputs, const TF_Output* outputs, const char* const* output_names,
    int ncontrol_outputs, const TF_Operation* const* control_outputs,
    const char* const* control_output_names, const TF_FunctionOptions* opts,

  const val INITIAL_MAX_FRAME_SIZE = 0x4000 // 16384

  const val TYPE_DATA = 0x0
  const val TYPE_HEADERS = 0x1
  const val TYPE_PRIORITY = 0x2
  const val TYPE_RST_STREAM = 0x3
  const val TYPE_SETTINGS = 0x4
  const val TYPE_PUSH_PROMISE = 0x5
  const val TYPE_PING = 0x6
  const val TYPE_GOAWAY = 0x7
  const val TYPE_WINDOW_UPDATE = 0x8
  const val TYPE_CONTINUATION = 0x9

}
Status SetAttrTensor(AbstractOperation* op_, const char* attr_name,
                     AbstractTensorInterface* tensor,
                     ForwardOperation* forward_op_) {
  return tensorflow::errors::Unimplemented(
      "SetAttrTensor has not been implemented yet.");
}
Status SetAttrStringList(AbstractOperation* op_, const char* attr_name,
                         const void* const* values, const size_t* lengths,

    const val BUILD_PROMOTION_COMMIT_ID = "promotionCommitId"
    const val BUILD_RC_NUMBER = "rcNumber"
    const val BUILD_SERVER_URL = "BUILD_SERVER_URL"
    const val BUILD_TIMESTAMP = "buildTimestamp"
    const val BUILD_VCS_NUMBER = "BUILD_VCS_NUMBER"
    const val BUILD_VERSION_QUALIFIER = "versionQualifier"
    const val CI_ENVIRONMENT_VARIABLE = "CI"

TFE_Op* SendOp(TFE_Context* ctx, TFE_TensorHandle* in,
               const std::string& op_name, const std::string& send_device,
               const std::string& recv_device,
               tensorflow::uint64 send_device_incarnation);

// Return a RecvOp op `op_name` with the attributes `send_device`,
// `recv_device`, and `send_device_incarnation` set.
TFE_Op* RecvOp(TFE_Context* ctx, const std::string& op_name,

absl::optional<std::vector<std::unique_ptr<ParallelTensor>>>
ParallelDevice::Execute(TFE_Context* context,
                        const std::vector<ParallelTensor*>& inputs,
                        const char* operation_name,
                        const TFE_OpAttrs* attributes, int expected_max_outputs,
                        TF_Status* status) const {
  std::vector<PartialTensorShape> expected_output_shapes(expected_max_outputs);