syntax = "proto3";

package tensorflow.serving;
option cc_enable_arenas = true;
option go_package = "./tensorflow_serving";

import "tensorflow/core/framework/tensor.proto";
import "tensorflow_serving/apis/model.proto";

// PredictRequest specifies which TensorFlow model to run, as well as
// how inputs are mapped to tensors and how outputs are filtered before
// returning to user.
message PredictRequest {
  // Model Specification. If version is not specified, will use the latest
  // (numerical) version.
  ModelSpec model_spec = 1;

  // Input tensors.
  // Names of input tensor are alias names. The mapping from aliases to real
  // input tensor names is stored in the SavedModel export as a prediction
  // SignatureDef under the 'inputs' field.
  map<string, TensorProto> inputs = 2;

  // Output filter.
  // Names specified are alias names. The mapping from aliases to real output
  // tensor names is stored in the SavedModel export as a prediction
  // SignatureDef under the 'outputs' field.
  // Only tensors specified here will be run/fetched and returned, with the
  // exception that when none is specified, all tensors specified in the
  // named signature will be run/fetched and returned.
  repeated string output_filter = 3;
}

// Response for PredictRequest on successful run.
message PredictResponse {
  // Effective Model Specification used to process PredictRequest.
  ModelSpec model_spec = 2;

  // Output tensors.
  map<string, TensorProto> outputs = 1;
}
