{"record":{"id":"3828a6d2d476004e","repo":"keras-team/keras","slug":"unrecognized-value-for-merge-mode-received-se","errorCode":null,"errorMessage":"Unrecognized value for `merge_mode`. Received: {self.merge_mode}Expected one of {\"concat\", \"sum\", \"ave\", \"mul\"}.","messagePattern":"Unrecognized value for `merge_mode`\\. Received: (.+?)Expected one of (.+?)\\.","errorType":"validation","errorClass":"ValueError","httpStatus":null,"severity":"error","filePath":"keras/src/layers/rnn/bidirectional.py","lineNumber":264,"sourceCode":"            y_rev = y_rev[0]\n\n        y = ops.cast(y, self.compute_dtype)\n        y_rev = ops.cast(y_rev, self.compute_dtype)\n\n        if self.return_sequences:\n            y_rev = ops.flip(y_rev, axis=1)\n        if self.merge_mode == \"concat\":\n            output = ops.concatenate([y, y_rev], axis=-1)\n        elif self.merge_mode == \"sum\":\n            output = y + y_rev\n        elif self.merge_mode == \"ave\":\n            output = (y + y_rev) / 2\n        elif self.merge_mode == \"mul\":\n            output = y * y_rev\n        elif self.merge_mode is None:\n            output = (y, y_rev)\n        else:\n            raise ValueError(\n                \"Unrecognized value for `merge_mode`. \"\n                f\"Received: {self.merge_mode}\"\n                'Expected one of {\"concat\", \"sum\", \"ave\", \"mul\"}.'\n            )\n        if self.return_state:\n            if self.merge_mode is None:\n                return output + states\n            return (output,) + states\n        return output\n\n    def _can_attempt_fused_lstm(self, mask, initial_state=None):\n        # Layer-level preconditions for dispatching to\n        # `backend.bidirectional_lstm`. Backends that don't support a\n        # fused path (or don't have the runtime resources for one, e.g.\n        # no GPU) raise `NotImplementedError` from the call itself, and\n        # the caller falls back to the two-layer path.\n        if mask is not None or self.stateful:\n            return False","sourceCodeStart":246,"sourceCodeEnd":282,"githubUrl":"https://github.com/keras-team/keras/blob/7a34a03db60bf60042242d6a556fc3be119046a5/keras/src/layers/rnn/bidirectional.py#L246-L282","documentation":"Error \"Unrecognized value for `merge_mode`. Received: {self.merge_mode}Expected one of {\"concat\", \"sum\", \"ave\", \"mul\"}.\" thrown in keras-team/keras.","triggerScenarios":"Thrown at keras/src/layers/rnn/bidirectional.py:264 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"}