我需要写一个关于这个深度学习问题的检查点。但是这个错误阻止了我写文件。(E:在tf.summary.FileWriter文件)你知道吗
错误: “tensorflow/core/util/events”_作者:抄送:104]写入失败,因为无法打开文件。你知道吗
我试过这个。重新安装、删除和授权(tensorflow gpu、tensorflow、tensorboard)
with tf.Session() as sess:
dir = pickledir
dic_0 = pat_level_arr(dir, 0, [0, 1])
dic_1 = pat_level_arr(dir, 1, [1, 0])
seed = 42
abc = range(len(dic_0))
abcd = range(len(dic_1))
dic_0_train, dic_0_test, _, _ = train_test_split(
dic_0, abc, test_size=0.244, random_state=seed)
dic_1_train, dic_1_test, _, _ = train_test_split(
dic_1, abcd, test_size=0.35, random_state=seed)
dic_train = np.concatenate((dic_0_train, dic_1_train), axis=0)
dic_test = np.concatenate((dic_0_test, dic_1_test), axis=0)
summaries_dir = './logs_level'
#here is the problem "tensorflow/core/util/events_writer.cc:104] Write failed because file could not be opened.
======================================================================
print("here is start\n")
train_writer = tf.summary.FileWriter(summaries_dir + '/train', sess.graph)
test_writer = tf.summary.FileWriter(summaries_dir + '/test')
print("here is end\n")
======================================================================
init = tf.global_variables_initializer()
sess.run(init)
# For train
try:
saver.restore(sess, './modelckpt/inception.ckpt')
print('Model restored')
epoch_saved = data_saved['var_epoch_saved'].eval()
except tf.errors.NotFoundError:
print('No saved model found')
epoch_saved = 1
except tf.errors.InvalidArgumentError:
print('Model structure has change. Rebuild model')
epoch_saved = 1
E tensorflow/core/util/events_作者:抄送:104]写入失败,因为无法打开文件。你知道吗
ValueError:传递的save\u路径不是有效的检查点:./modelckpt/开始.ckpt你知道吗
tensorflow gpu版本为1.10.0。 python版本是3.5(我认为)。 我已经安装了张力板。你知道吗
基本上,该错误表示检查点文件不存在,因此它不是有效的检查点。你知道吗
在执行
saver.restore()
方法从磁盘加载文件之前,需要使用下面的代码保存模型。你知道吗请在下面的链接https://github.com/tensorflow/docs/blob/master/site/en/r1/guide/saved_model.md中参考Tensorflow版本1.x的保存和还原说明和代码
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