def main(unused_argv=None): dataset = ImagenetData(subset=FLAGS.subset) assert dataset.data_files() if tf.gfile.Exists(FLAGS.eval_dir): tf.gfile.DeleteRecursively(FLAGS.eval_dir) tf.gfile.MakeDirs(FLAGS.eval_dir) inception_eval.evaluate(dataset)
def main(unused_argv=None): dataset = SketchData(subset=FLAGS.subset) assert dataset.data_files() if tf.gfile.Exists(FLAGS.eval_dir): tf.gfile.DeleteRecursively(FLAGS.eval_dir) tf.gfile.MakeDirs(FLAGS.eval_dir) inception_eval.evaluate(dataset)
def main(unused_argv=None): dataset = DistractedData(subset=FLAGS.subset, examples=int(FLAGS.examples)) assert dataset.data_files() if tf.gfile.Exists(FLAGS.eval_dir): tf.gfile.DeleteRecursively(FLAGS.eval_dir) tf.gfile.MakeDirs(FLAGS.eval_dir) inception_eval.evaluate(dataset)
def main(unused_argv=None): csvFileList,csvEvalFileList=select_csv() if tf.gfile.Exists(FLAGS.eval_dir): tf.gfile.DeleteRecursively(FLAGS.eval_dir) tf.gfile.MakeDirs(FLAGS.eval_dir) inception_eval.evaluate(csvEvalFileList)
def main(unused_argv=None): dataset = MnistData(subset=FLAGS.subset) assert dataset.data_files() if tf.gfile.Exists(FLAGS.eval_dir): tf.gfile.DeleteRecursively(FLAGS.eval_dir) tf.gfile.MakeDirs(FLAGS.eval_dir) FLAGS.dataset_name = 'mnist' FLAGS.num_examples = dataset.num_examples_per_epoch() inception_eval.evaluate(dataset)
def main_fun(argv, ctx): import tensorflow as tf from inception import inception_eval from inception.imagenet_data import ImagenetData print("argv:", argv) sys.argv = argv FLAGS = tf.app.flags.FLAGS FLAGS._parse_flags() print("FLAGS:", FLAGS.__dict__['__flags']) dataset = ImagenetData(subset=FLAGS.subset) assert dataset.data_files() if tf.gfile.Exists(FLAGS.eval_dir): tf.gfile.DeleteRecursively(FLAGS.eval_dir) tf.gfile.MakeDirs(FLAGS.eval_dir) cluster_spec, server = TFNode.start_cluster_server(ctx, 1, FLAGS.rdma) inception_eval.evaluate(dataset)
def main_fun(argv, ctx): import tensorflow as tf from inception import inception_eval from inception.imagenet_data import ImagenetData print("argv:", argv) sys.argv = argv FLAGS = tf.app.flags.FLAGS FLAGS._parse_flags() print("FLAGS:", FLAGS.__dict__['__flags']) dataset = ImagenetData(subset=FLAGS.subset) assert dataset.data_files() if tf.gfile.Exists(FLAGS.eval_dir): tf.gfile.DeleteRecursively(FLAGS.eval_dir) tf.gfile.MakeDirs(FLAGS.eval_dir) cluster_spec, server = TFNode.start_cluster_server(ctx) inception_eval.evaluate(dataset)