include_directories.push_back(local_include_directory.c_str());
  include_directories.push_back(nullptr);
  if (!parser->Parse(contents.c_str(), include_directories.data(),
                     filename.c_str())) {
    fprintf(stderr, "Failed to parse flatbuffer schema '%s'\n",
            contents.c_str());
    return false;
  }
  return true;
}

  auto int_attr = mlir::dyn_cast_or_null<IntegerAttr>(attrs.get(attribute));
  if (!int_attr) {
    return func.emitError()
           << attribute.c_str() << " attribute is not set or not an integer";
  }
  builder->Int(attribute.c_str(), int_attr.getInt());
  return success();
}

LogicalResult ConvertSSDPostProcessFunc::AddFloatAttr(

  status.ForEachPayload(
      [tf_status](absl::string_view key, const absl::Cord& value) {
        std::string key_str(key);
        std::string value_str(value);
        TF_SetPayload(tf_status, key_str.c_str(), value_str.c_str());
      });
}

absl::Status StatusFromTF_Status(const TF_Status* tf_status) {
  absl::Status status(StatusCodeFromTSLCode(TF_GetCode(tf_status)),
                      TF_Message(tf_status));

			// Parse line.
			if len(parts) != 3 {
				log.Fatalf(`%s:%d: invalid symabi: syntax is "%s sym abi"`, file, lineNum, parts[0])
			}
			sym, abistr := parts[1], parts[2]
			abi, valid := obj.ParseABI(abistr)
			if !valid {
				log.Fatalf(`%s:%d: invalid symabi: unknown abi "%s"`, file, lineNum, abistr)
			}

			sym = s.canonicalize(sym)

			// Record for later.
			if parts[0] == "def" {
				s.defs[sym] = abi
			} else {

  TFE_OpSetAttrString(op, "tensor_name", "dummy", 5);
  TFE_OpSetAttrString(op, "send_device", send_device.c_str(),
                      send_device.size());
  TFE_OpSetAttrString(op, "recv_device", recv_device.c_str(),
                      recv_device.size());
  TFE_OpSetAttrInt(op, "send_device_incarnation", send_device_incarnation);

  return op;
}

			"", // account-id is always empty in this implementation
			arn.ResourceType + "/" + arn.ResourceID,
		},
		":",
	)
}

// Parse - parses an ARN string into a type.
func Parse(arnStr string) (arn ARN, err error) {
	ps := strings.Split(arnStr, ":")
	if len(ps) != 6 || ps[0] != string(arnPrefixArn) {
		err = errors.New("invalid ARN string format")
		return
	}

	if ps[1] != string(arnPartitionMinio) {

    grad_inputs[0]->Ref();

    // Grad for bias
    std::string name = "bias_add_grad";
    TF_RETURN_IF_ERROR(BiasAddGrad(ctx, upstream_grad, &grad_inputs[1],
                                   data_format.c_str(), name.c_str()));

    return absl::OkStatus();
  }
  ~BiasAddGradientFunction() override {}

 private:
  AttrBuilder forward_attrs_;
};

}  // namespace

TEST(DumpMlirModuleTest, Valid) {
  mlir::MLIRContext context;
  mlir::OwningOpRef<mlir::ModuleOp> module_ref =
      mlir::ModuleOp::create(mlir::UnknownLoc::get(&context));
  setenv("TF_DUMP_GRAPH_PREFIX", testing::TmpDir().c_str(), 1);
  std::string expected_txt_module;
  {
    llvm::raw_string_ostream os(expected_txt_module);
    module_ref->getOperation()->print(os,
                                      mlir::OpPrintingFlags().useLocalScope());

  TFE_DeleteContextOptions(opts);

  std::string model_dir = SavedModelPath("VarsAndArithmeticObjectGraph");

  TF_SavedModel* saved_model =
      TF_LoadSavedModelWithTags(model_dir.c_str(), ctx, kServeTag, 1, status);

  // TODO(bmzhao): Change this to expect TF_OK when loading is implemented.
  // That unblocks writing other tests that require a TF_SavedModel*,

    std::ostringstream err;
    err << "Cannot bitcast type " << input_type << " to " << output_type
        << " because one of the type sizes is zero";
    TF_SetStatus(status, TF_INVALID_ARGUMENT, err.str().c_str());
    return;
  }

  TF_SetStatus(status, TF_OK, "");
  if (input_type_size < output_type_size) {
    TF_ShapeInferenceContextWithRankAtLeast(ctx, shape, 1, shape, status);

    if (TF_GetCode(status) == TF_OK) {