Java tutorial
/** * Licensed to the Apache Software Foundation (ASF) under one * or more contributor license agreements. See the NOTICE file * distributed with this work for additional information * regarding copyright ownership. The ASF licenses this file * to you under the Apache License, Version 2.0 (the * "License"); you may not use this file except in compliance * with the License. You may obtain a copy of the License at * <p> * http://www.apache.org/licenses/LICENSE-2.0 * <p> * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. */ package io.hops.tensorflow; import org.apache.commons.cli.Option; import org.apache.commons.cli.Options; public abstract class CommonArguments { public static final String PYTHON = "python"; public static final String ARGS = "args"; public static final String WORKERS = "workers"; public static final String PSES = "pses"; public static final String ENV = "env"; public static final String TENSORBOARD = "tensorboard"; public static final String MEMORY = "memory"; public static final String VCORES = "vcores"; public static final String GPUS = "gpus"; public static final String PROTOCOL = "protocol"; // public static final String PRIORITY = "priority"; public static final String ALLOCATION_TIMEOUT = "allocation_timeout"; public static final String DEBUG = "debug"; public static final String HELP = "help"; protected static Options createOptions() { Options opts = new Options(); opts.addOption(PYTHON, true, "Path to custom Python binary, if not set the default will be " + "used"); opts.addOption(ARGS, true, "Command line args for the application. Multiple args can be separated by empty space."); opts.getOption(ARGS).setArgs(Option.UNLIMITED_VALUES); opts.addOption(WORKERS, true, "Number of workers"); opts.addOption(PSES, true, "Number of parameter servers"); opts.addOption(ENV, true, "Environment for Python application. Specified as env_key=env_val pairs"); opts.addOption(TENSORBOARD, false, "Enable TensorBoard, one for each worker"); opts.addOption(MEMORY, true, "Amount of memory in MB to be requested to run the TF application"); opts.addOption(VCORES, true, "Amount of virtual cores to be requested to run the TF application"); opts.addOption(GPUS, true, "Amount of GPUs for each TF application container"); opts.addOption(PROTOCOL, true, "Specify the protocol parameter for tf.train.Server()"); // opts.addOption(PRIORITY, true, "Priority for the Python application containers"); opts.addOption(ALLOCATION_TIMEOUT, true, "Container allocation timeout in seconds"); opts.addOption(DEBUG, false, "Dump out debug information"); opts.addOption(HELP, false, "Print usage"); return opts; } }