| // Copyright (c) 2018 The Chromium Authors. All rights reserved. |
| // Use of this source code is governed by a BSD-style license that can be |
| // found in the LICENSE file. |
| |
| syntax = "proto2"; |
| |
| option optimize_for = LITE_RUNTIME; |
| |
| import "example_preprocessor.proto"; |
| |
| package assist_ranker; |
| |
| // A vector of floating-point values. |
| message FloatVector { |
| repeated float values = 1; |
| } |
| |
| // The weights and biases for a single neural-network layer. |
| message NNLayer { |
| // The weights for the layer. |
| repeated FloatVector weights = 1; |
| |
| // The bias vectors for the layer. |
| optional FloatVector biases = 2; |
| } |
| |
| // Defines the model weights and biases for a neural network with a single |
| // hidden layer. |
| message NNClassifierModel { |
| // The single hidden layer. |
| optional NNLayer hidden_layer = 1; |
| |
| // The output logits layer. |
| optional NNLayer logits_layer = 2; |
| |
| // The preprocessing config for this model. This is used to vectorize the |
| // examples so they can be used as input for the classifier. |
| optional ExamplePreprocessorConfig preprocessor_config = 3; |
| } |