{"record":{"id":"66c10020633ea93a","repo":"keras-team/keras","slug":"input-tensor-input-tensor-is-not-type-input-tens-66c100","errorCode":null,"errorMessage":"input_tensor: {input_tensor}is not type input_tensor.  Received type(input_tensor)={type(input_tensor)}","messagePattern":"input_tensor: (.+?)is not type input_tensor\\.  Received type\\(input_tensor\\)=(.+?)","errorType":"exception","errorClass":"ValueError","httpStatus":null,"severity":"error","filePath":"keras/src/applications/mobilenet_v3.py","lineNumber":197,"sourceCode":"    if weights == \"imagenet\" and include_top and classes != 1000:\n        raise ValueError(\n            'If using `weights=\"imagenet\"` with `include_top` '\n            \"as true, `classes` should be 1000.  \"\n            f\"Received classes={classes}\"\n        )\n\n    # Determine proper input shape and default size.\n    # If both input_shape and input_tensor are used, they should match\n    if input_shape is not None and input_tensor is not None:\n        try:\n            is_input_t_tensor = backend.is_keras_tensor(input_tensor)\n        except ValueError:\n            try:\n                is_input_t_tensor = backend.is_keras_tensor(\n                    operation_utils.get_source_inputs(input_tensor)\n                )\n            except ValueError:\n                raise ValueError(\n                    \"input_tensor: \",\n                    input_tensor,\n                    \"is not type input_tensor.  \"\n                    f\"Received type(input_tensor)={type(input_tensor)}\",\n                )\n        if is_input_t_tensor:\n            if backend.image_data_format() == \"channels_first\":\n                if input_tensor.shape[1] != input_shape[1]:\n                    raise ValueError(\n                        \"When backend.image_data_format()=channels_first, \"\n                        \"input_shape[1] must equal \"\n                        \"input_tensor.shape[1].  Received \"\n                        f\"input_shape={input_shape}, \"\n                        \"input_tensor.shape=\"\n                        f\"{input_tensor.shape}\"\n                    )\n            else:\n                if input_tensor.shape[2] != input_shape[1]:","sourceCodeStart":179,"sourceCodeEnd":215,"githubUrl":"https://github.com/keras-team/keras/blob/7a34a03db60bf60042242d6a556fc3be119046a5/keras/src/applications/mobilenet_v3.py#L179-L215","documentation":"Error \"input_tensor: {input_tensor}is not type input_tensor.  Received type(input_tensor)={type(input_tensor)}\" thrown in keras-team/keras.","triggerScenarios":"Thrown at keras/src/applications/mobilenet_v3.py:197 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"}