您好,登錄后才能下訂單哦!
1、我就廢話不多說了,直接上代碼吧!
# Set up a RunConfig to only save checkpoints once per training cycle. run_config = tf.estimator.RunConfig(save_checkpoints_secs=1e9,keep_checkpoint_max = 10) model = tf.estimator.Estimator( model_fn=deeplab_model_focal_class_imbalance_loss_adaptive.deeplabv3_plus_model_fn, model_dir=FLAGS.model_dir, config=run_config, params={ 'output_stride': FLAGS.output_stride, 'batch_size': FLAGS.batch_size, 'base_architecture': FLAGS.base_architecture, 'pre_trained_model': FLAGS.pre_trained_model, 'batch_norm_decay': _BATCH_NORM_DECAY, 'num_classes': _NUM_CLASSES, 'tensorboard_images_max_outputs': FLAGS.tensorboard_images_max_outputs, 'weight_decay': FLAGS.weight_decay, 'learning_rate_policy': FLAGS.learning_rate_policy, 'num_train': _NUM_IMAGES['train'], 'initial_learning_rate': FLAGS.initial_learning_rate, 'max_iter': FLAGS.max_iter, 'end_learning_rate': FLAGS.end_learning_rate, 'power': _POWER, 'momentum': _MOMENTUM, 'freeze_batch_norm': FLAGS.freeze_batch_norm, 'initial_global_step': FLAGS.initial_global_step })
以上這篇在tensorflow中設(shè)置保存checkpoint的最大數(shù)量實(shí)例就是小編分享給大家的全部?jī)?nèi)容了,希望能給大家一個(gè)參考,也希望大家多多支持億速云。
免責(zé)聲明:本站發(fā)布的內(nèi)容(圖片、視頻和文字)以原創(chuàng)、轉(zhuǎn)載和分享為主,文章觀點(diǎn)不代表本網(wǎng)站立場(chǎng),如果涉及侵權(quán)請(qǐng)聯(lián)系站長(zhǎng)郵箱:is@yisu.com進(jìn)行舉報(bào),并提供相關(guān)證據(jù),一經(jīng)查實(shí),將立刻刪除涉嫌侵權(quán)內(nèi)容。