/* * MIT License * * Copyright (c) 2019 Alexey Edelev * * This file is part of NeuralNetwork project https://git.semlanik.org/semlanik/NeuralNetwork * * Permission is hereby granted, free of charge, to any person obtaining a copy of this * software and associated documentation files (the "Software"), to deal in the Software * without restriction, including without limitation the rights to use, copy, modify, * merge, publish, distribute, sublicense, and/or sell copies of the Software, and * to permit persons to whom the Software is furnished to do so, subject to the following * conditions: * * The above copyright notice and this permission notice shall be included in all copies * or substantial portions of the Software. * * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, * INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR * PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE * FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR * OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER * DEALINGS IN THE SOFTWARE. */ syntax = "proto3"; package remotecontrol; message NetworkState { enum State { None = 0; Idle = 1; Learning = 2; Validation = 3; Predict = 4; } State state = 1; } message Matrix { bytes matrix = 1; } message LayerMatrix { enum ContentType { Activations = 0; Weights = 1; Biases = 2; }; ContentType contentType = 1; sint32 layer = 2; Matrix matrix = 3; } message Configuration { repeated sint32 sizes = 1; } message None { } service RemoteControl { rpc getConfiguration(None) returns (Configuration) {} rpc Activations(None) returns (stream LayerMatrix) {} rpc Biases(None) returns (stream LayerMatrix) {} rpc Weights(None) returns (stream LayerMatrix) {} rpc State(None) returns (stream NetworkState) {} }