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我正在尝试在google cloud ml-engine上部署一个初始模型的重新训练版本.从SavedModel文档,此参考和rhaertel80的这篇文章中收集信息,我成功地将我的再培训模型导出到SavedModel,将其上传到存储桶并尝试将其部署到ml-engine版本.

最后一个任务实际上创建了一个版本,但它输出了这个错误:

Create Version failed. Bad model detected with error: "Error loading the model: Unexpected error when loading the model"

当我尝试通过命令行从模型中获得预测时,我收到以下错误消息: "message": "Field: name Error: Online prediction is unavailable for this version. Please verify that CreateVersion has completed successfully."

我曾经多次尝试,尝试不同的method_name和tag选择,但没有奏效.

添加到原始初始代码的代码是

  ### DEFINE SAVED MODEL SIGNATURE

  in_image = graph.get_tensor_by_name('DecodeJpeg/contents:0')
  inputs = {'image_bytes': tf.saved_model.utils.build_tensor_info(in_image)}

  out_classes = graph.get_tensor_by_name('final_result:0')
  outputs = {'prediction': tf.saved_model.utils.build_tensor_info(out_classes)}

  signature = tf.saved_model.signature_def_utils.build_signature_def(
      inputs=inputs,
      outputs=outputs,
      method_name='tensorflow/serving/predict'
  )


  ### …