{"record":{"id":"e718b241e1d24868","repo":"keras-team/keras","slug":"input-shape-1-must-equal-shape-input-tensor-1-w","errorCode":null,"errorMessage":"input_shape[1] must equal shape(input_tensor)[1] when `image_data_format` is `channels_first`; Received `input_tensor.shape={input_tensor.shape}`, `input_shape={input_shape}`","messagePattern":"input_shape\\[1\\] must equal shape\\(input_tensor\\)\\[1\\] when `image_data_format` is `channels_first`; Received `input_tensor\\.shape=(.+?)`, `input_shape=(.+?)`","errorType":"exception","errorClass":"ValueError","httpStatus":null,"severity":"error","filePath":"keras/src/applications/mobilenet_v2.py","lineNumber":146,"sourceCode":"    # 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                    f\"input_tensor: {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                        \"input_shape[1] must equal shape(input_tensor)[1] \"\n                        \"when `image_data_format` is `channels_first`; \"\n                        \"Received `input_tensor.shape=\"\n                        f\"{input_tensor.shape}`\"\n                        f\", `input_shape={input_shape}`\"\n                    )\n            else:\n                if input_tensor.shape[2] != input_shape[1]:\n                    raise ValueError(\n                        \"input_tensor.shape[2] must equal input_shape[1]; \"\n                        \"Received `input_tensor.shape=\"\n                        f\"{input_tensor.shape}`, \"\n                        f\"`input_shape={input_shape}`\"\n                    )\n        else:\n            raise ValueError(\n                \"input_tensor is not a Keras tensor; \"\n                f\"Received `input_tensor={input_tensor}`\"","sourceCodeStart":128,"sourceCodeEnd":164,"githubUrl":"https://github.com/keras-team/keras/blob/7a34a03db60bf60042242d6a556fc3be119046a5/keras/src/applications/mobilenet_v2.py#L128-L164","documentation":"Error \"input_shape[1] must equal shape(input_tensor)[1] when `image_data_format` is `channels_first`; Received `input_tensor.shape={input_tensor.shape}`, `input_shape={input_shape}`\" thrown in keras-team/keras.","triggerScenarios":"Thrown at keras/src/applications/mobilenet_v2.py:146 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"}