{"record":{"id":"f1242714ae6814a3","repo":"keras-team/keras","slug":"forward-layer-and-backward-layer-are-expected-to-h","errorCode":null,"errorMessage":"Forward layer and backward layer are expected to have the same value for attribute \"{a}\", got \"{forward_value}\" for forward layer and \"{backward_value}\" for backward layer","messagePattern":"Forward layer and backward layer are expected to have the same value for attribute \"(.+?)\", got \"(.+?)\" for forward layer and \"(.+?)\" for backward layer","errorType":"validation","errorClass":"ValueError","httpStatus":null,"severity":"error","filePath":"keras/src/layers/rnn/bidirectional.py","lineNumber":173,"sourceCode":"\n    def _verify_layer_config(self):\n        \"\"\"Ensure the forward and backward layers have valid common property.\"\"\"\n        if self.forward_layer.go_backwards == self.backward_layer.go_backwards:\n            raise ValueError(\n                \"Forward layer and backward layer should have different \"\n                \"`go_backwards` value. Received: \"\n                \"forward_layer.go_backwards \"\n                f\"{self.forward_layer.go_backwards}, \"\n                \"backward_layer.go_backwards=\"\n                f\"{self.backward_layer.go_backwards}\"\n            )\n\n        common_attributes = (\"stateful\", \"return_sequences\", \"return_state\")\n        for a in common_attributes:\n            forward_value = getattr(self.forward_layer, a)\n            backward_value = getattr(self.backward_layer, a)\n            if forward_value != backward_value:\n                raise ValueError(\n                    \"Forward layer and backward layer are expected to have \"\n                    f'the same value for attribute \"{a}\", got '\n                    f'\"{forward_value}\" for forward layer and '\n                    f'\"{backward_value}\" for backward layer'\n                )\n\n    def compute_output_shape(self, sequences_shape, initial_state_shape=None):\n        output_shape = self.forward_layer.compute_output_shape(sequences_shape)\n\n        if self.return_state:\n            output_shape, state_shape = output_shape[0], output_shape[1:]\n\n        if self.merge_mode == \"concat\":\n            output_shape = list(output_shape)\n            output_shape[-1] *= 2\n            output_shape = tuple(output_shape)\n        elif self.merge_mode is None:\n            output_shape = [output_shape, output_shape]","sourceCodeStart":155,"sourceCodeEnd":191,"githubUrl":"https://github.com/keras-team/keras/blob/7a34a03db60bf60042242d6a556fc3be119046a5/keras/src/layers/rnn/bidirectional.py#L155-L191","documentation":"Error \"Forward layer and backward layer are expected to have the same value for attribute \"{a}\", got \"{forward_value}\" for forward layer and \"{backward_value}\" for backward layer\" thrown in keras-team/keras.","triggerScenarios":"Thrown at keras/src/layers/rnn/bidirectional.py:173 when the library encounters an invalid state.","commonSituations":"See trigger scenarios.","solutions":[],"exampleFix":null,"handlingStrategy":null,"validationCode":null,"typeGuard":null,"tryCatchPattern":null,"preventionTips":[],"tags":[],"backgroundTag":null,"analyzedSha":"7a34a03db60bf60042242d6a556fc3be119046a5","analyzedAt":"2026-08-25T21:25:25.994Z","schemaVersion":2},"datasetVersion":"2026-08-26T02:17:13.382Z"}