keras-team/keras · error · ValueError

Forward layer and backward layer should have different `go_b

Error message

Forward layer and backward layer should have different `go_backwards` value. Received: forward_layer.go_backwards {self.forward_layer.go_backwards}, backward_layer.go_backwards={self.backward_layer.go_backwards}

What it means

Error "Forward layer and backward layer should have different `go_backwards` value. Received: forward_layer.go_backwards {self.forward_layer.go_backwards}, backward_layer.go_backwards={self.backward_layer.go_backwards}" thrown in keras-team/keras.

Source

Thrown at keras/src/layers/rnn/bidirectional.py:159

        force_zero_output_for_mask(self.forward_layer)
        force_zero_output_for_mask(self.backward_layer)

        self.merge_mode = merge_mode
        if weights:
            nw = len(weights)
            self.forward_layer.initial_weights = weights[: nw // 2]
            self.backward_layer.initial_weights = weights[nw // 2 :]
        self.stateful = layer.stateful
        self.return_sequences = layer.return_sequences
        self.return_state = layer.return_state
        self.supports_masking = False
        self.input_spec = layer.input_spec

    def _verify_layer_config(self):
        """Ensure the forward and backward layers have valid common property."""
        if self.forward_layer.go_backwards == self.backward_layer.go_backwards:
            raise ValueError(
                "Forward layer and backward layer should have different "
                "`go_backwards` value. Received: "
                "forward_layer.go_backwards "
                f"{self.forward_layer.go_backwards}, "
                "backward_layer.go_backwards="
                f"{self.backward_layer.go_backwards}"
            )

        common_attributes = ("stateful", "return_sequences", "return_state")
        for a in common_attributes:
            forward_value = getattr(self.forward_layer, a)
            backward_value = getattr(self.backward_layer, a)
            if forward_value != backward_value:
                raise ValueError(
                    "Forward layer and backward layer are expected to have "
                    f'the same value for attribute "{a}", got '
                    f'"{forward_value}" for forward layer and '
                    f'"{backward_value}" for backward layer'

View on GitHub (pinned to 7a34a03db6)

When it happens

Trigger: Thrown at keras/src/layers/rnn/bidirectional.py:159 when the library encounters an invalid state.

Common situations: See trigger scenarios.

AI-assisted analysis of keras-team/keras@7a34a03db6 (2026-08-25). Data as JSON: /api/errors/1995347581f7438e. Report an issue: GitHub.