{"record":{"id":"65fc052c470530a7","repo":"keras-team/keras","slug":"input-shape-1-must-equal-input-tensor-shape-2","errorCode":null,"errorMessage":"input_shape[1] must equal input_tensor.shape[2].  Received input_shape={input_shape}, input_tensor.shape={input_tensor.shape}","messagePattern":"input_shape\\[1\\] must equal input_tensor\\.shape\\[2\\]\\.  Received input_shape=(.+?), input_tensor\\.shape=(.+?)","errorType":"exception","errorClass":"ValueError","httpStatus":null,"severity":"error","filePath":"keras/src/applications/mobilenet_v3.py","lineNumber":216,"sourceCode":"                    \"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]:\n                    raise ValueError(\n                        \"input_shape[1] must equal \"\n                        \"input_tensor.shape[2].  Received \"\n                        f\"input_shape={input_shape}, \"\n                        \"input_tensor.shape=\"\n                        f\"{input_tensor.shape}\"\n                    )\n        else:\n            raise ValueError(\n                \"input_tensor specified: \",\n                input_tensor,\n                \"is not a keras tensor\",\n            )\n\n    # If input_shape is None, infer shape from input_tensor\n    if input_shape is None and input_tensor is not None:\n        try:\n            backend.is_keras_tensor(input_tensor)\n        except ValueError:","sourceCodeStart":198,"sourceCodeEnd":234,"githubUrl":"https://github.com/keras-team/keras/blob/7a34a03db60bf60042242d6a556fc3be119046a5/keras/src/applications/mobilenet_v3.py#L198-L234","documentation":"Error \"input_shape[1] must equal input_tensor.shape[2].  Received input_shape={input_shape}, input_tensor.shape={input_tensor.shape}\" thrown in keras-team/keras.","triggerScenarios":"Thrown at keras/src/applications/mobilenet_v3.py:216 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"}