searchPaging(data, form);
        });
    }

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

    @Execute

	// Parse left to right.
	op := operands[next]
	if len(op) < 2 || op[0].ScanToken != '$' {
		p.errorf("TEXT %s: frame size must be an immediate constant", name)
		return
	}
	op = op[1:]
	negative := false
	if op[0].ScanToken == '-' {
		negative = true
		op = op[1:]
	}
	if len(op) == 0 || op[0].ScanToken != scanner.Int {

}

// IsLoong64CMP reports whether the op (as defined by an loong64.A* constant) is
// one of the CMP instructions that require special handling.
func IsLoong64CMP(op obj.As) bool {
	switch op {
	case loong64.ACMPEQF, loong64.ACMPEQD, loong64.ACMPGEF, loong64.ACMPGED,
		loong64.ACMPGTF, loong64.ACMPGTD:
		return true
	}
	return false
}

// IsLoong64MUL reports whether the op (as defined by an loong64.A* constant) is

// a map (`tensorflow::eager::TensorTape`) from the wrapped tensor to the id of
// the op that produced it (or -1 if this tensor was watched using
// `GradientTape::Watch`.) The op_id is simply a unique index assigned to each
// op executed under the tape. A separate map (`tensorflow::eager::OpTape`)
// maintains the map from `op_id` to a `OpTapeEntry` which stores the `op_type`,
// inputs and outputs and the gradient function These data structures combined

    public static OptionalEntity<Role> getRole(final CreateForm form) {
        return getEntity(form).map(entity -> {
            copyMapToBean(form.attributes, entity, op -> op.exclude(Constants.COMMON_CONVERSION_RULE));
            copyBeanToBean(form, entity, op -> op.exclude(Constants.COMMON_CONVERSION_RULE));
            return entity;
        });
    }

namespace tracing {

Status MaybeSetOpName(AbstractOperation* op, const char* op_name) {
  if (isa<TracingOperation>(op)) {
    TF_RETURN_IF_ERROR(dyn_cast<TracingOperation>(op)->SetOpName(op_name));
  }
  if (isa<gradients::TapeOperation>(op)) {
    TF_RETURN_IF_ERROR(MaybeSetOpName(
        dyn_cast<gradients::TapeOperation>(op)->GetBackingOperation(),
        op_name));
  }
  return absl::OkStatus();
}
}  // namespace tracing

}

void Variable::GeneralAssignment(const char* op_name, TFE_Context* context,
                                 TFE_TensorHandle* value, TF_Status* status) {
  std::unique_ptr<TFE_Op, decltype(&TFE_DeleteOp)> op(
      TFE_NewOp(context, op_name, status), &TFE_DeleteOp);
  if (TF_GetCode(status) != TF_OK) return;
  TFE_OpSetAttrType(op.get(), "dtype", type_);
  TFE_OpAddInput(op.get(), handle_, status);

	"github.com/zeebo/xxh3"
)

// Op is operation type.
//
//go:generate msgp -unexported -file=$GOFILE
//go:generate stringer -type=Op -output=msg_string.go -trimprefix=Op $GOFILE

// Op is operation type messages.
type Op uint8

// HandlerID is the ID for the handler of a specific type.
type HandlerID uint8

const (
	// OpConnect is a connect request.
	OpConnect Op = iota + 1

    int num_retvals = 1;
    TF_Status* status = TF_NewStatus();
    TFE_Op* op = TFE_NewOp(ctx_1, "ReadVariableOp", status);
    ASSERT_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status);
    TFE_OpSetAttrType(op, "dtype", TF_FLOAT);
    TFE_OpAddInput(op, var_handle, status);
    ASSERT_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status);
    TFE_Execute(op, &handle_1, &num_retvals, status);

                    /*expected_shape*/ make_shape({1, 6}));
  TFE_DeleteOp(reshape_op);
  reshape_op = nullptr;

  TFE_Op* fill_op = TFE_NewOp(tfe_context_, "Fill", status_);
  CHECK_EQ(TF_OK, TF_GetCode(status_)) << TF_Message(status_);
  TFE_OpSetAttrType(fill_op, "T", TF_FLOAT);
  TFE_OpSetAttrType(fill_op, "Tshape", TF_INT32);

  float five = 5.0;