b, op, err := wsutil.ReadData(conn, c.side)
	if err != nil {
		return err
	}
	if op != ws.OpBinary {
		return fmt.Errorf("unexpected connect response type %v", op)
	}
	if c.incomingBytes != nil {
		c.incomingBytes(int64(len(b)))
	}

	var m message
	_, _, err = m.parse(b)
	if err != nil {
		return err
	}
	if m.Op != r.Op() {

  TF_Status* status = TF_NewStatus();
  TFE_Op* op = TFE_NewOp(ctx, "ReadVariableOp", status);
  ASSERT_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status);
  TFE_OpSetAttrType(op, "dtype", TF_FLOAT);
  TFE_OpAddInput(op, var, status);
  ASSERT_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status);
  int num_retvals = 1;
  TFE_Execute(op, out_value, &num_retvals, status);

// TF_NewAttrBuilder() returns an object that you can set attributes on as
// though it were an op. This allows querying properties of that op for
// type-checking purposes like if the op will run on a particular device type.
typedef struct TF_AttrBuilder TF_AttrBuilder;
TF_CAPI_EXPORT extern TF_AttrBuilder* TF_NewAttrBuilder(const char* op_name);
TF_CAPI_EXPORT extern void TF_DeleteAttrBuilder(TF_AttrBuilder* builder);

// assembler.

package arch

import (
	"cmd/internal/obj"
	"cmd/internal/obj/riscv"
)

// IsRISCV64AMO reports whether the op (as defined by a riscv.A*
// constant) is one of the AMO instructions that requires special
// handling.
func IsRISCV64AMO(op obj.As) bool {
	switch op {
	case riscv.ASCW, riscv.ASCD, riscv.AAMOSWAPW, riscv.AAMOSWAPD, riscv.AAMOADDW, riscv.AAMOADDD,

  TF_Graph* parent;
  TF_Output* parent_inputs;
};

struct TF_OperationDescription {
  TF_OperationDescription(TF_Graph* g, const char* op_type,
                          const char* node_name)
      : node_builder(node_name, op_type, g->graph.op_registry()), graph(g) {}

  tensorflow::NodeBuilder node_builder;
  TF_Graph* graph;
  std::set<tensorflow::string> colocation_constraints;
};

  TFE_OpAddInput(op, in, status);
  CHECK_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status);
  TF_DeleteStatus(status);

  TFE_OpSetAttrType(op, "T", TFE_TensorHandleDataType(in));
  TFE_OpSetAttrInt(op, "group_size", group_size);
  TFE_OpSetAttrInt(op, "group_key", 123);
  TFE_OpSetAttrInt(op, "instance_key", 456);
  TFE_OpSetAttrString(op, "merge_op", "Add", 3);
  TFE_OpSetAttrString(op, "final_op", "Id", 2);

        });
    }

    @Execute
    @Secured({ ROLE, ROLE + VIEW })
    public HtmlResponse search(final SearchForm form) {
        copyBeanToBean(form, fileAuthenticationPager, op -> op.exclude(Constants.PAGER_CONVERSION_RULE));
        return asHtml(path_AdminFileauth_AdminFileauthJsp).renderWith(data -> {
            searchPaging(data, form);
        });
    }

    @Execute

void TFE_DeleteOp(TFE_Op* op) {
  if (op == nullptr) {
    return;
  }

  tensorflow::unwrap(op)->Release();
}

const char* TFE_OpGetName(const TFE_Op* op, TF_Status* status) {
  return tensorflow::unwrap(op)->Name().c_str();
}

TFE_Context* TFE_OpGetContext(const TFE_Op* op, TF_Status* status) {
  return tensorflow::wrap(tensorflow::unwrap(op)->GetContext());
}

                    TF_Graph* graph, TF_Status* s, const char* name,
                    TF_Operation** op, const string& op_device, bool check) {
  TF_OperationDescription* desc = TF_NewOperation(graph, op_name, name);
  if (!op_device.empty()) {
    TF_SetDevice(desc, op_device.c_str());
  }
  TF_AddInput(desc, {l, 0});
  TF_AddInput(desc, {r, 0});
  *op = TF_FinishOperation(desc, s);

        relatedContentBhv.insertOrUpdate(relatedContent, op -> op.setRefreshPolicy(Constants.TRUE));
        ComponentUtil.getRelatedContentHelper().update();
    }

    public void delete(final RelatedContent relatedContent) {

        relatedContentBhv.delete(relatedContent, op -> op.setRefreshPolicy(Constants.TRUE));
        ComponentUtil.getRelatedContentHelper().update();
    }