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python - 我不知道如何在 ubuntu tensorflow-gpu 上执行此操作,“E tensorflow/core/util/events_writer.cc : 104]

转载 作者:行者123 更新时间:2023-12-04 18:31:29 27 4
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我需要为这个深度学习问题写一个检查点。但是那个错误阻止我写文件。 (E:在 tf.summary.FileWriter)

错误 :
“tensorflow/core/util/events_writer.cc:104] 写入失败,因为无法打开文件。

我试过这个。重装、删除、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_writer.cc:104] 写入失败,因为无法打开文件。

ValueError:传递的 save_path 不是有效的检查点:./modelckpt/inception.ckpt

tensorflow-gpu 版本是 1.10.0。
python版本是3.5(我认为)。
我已经安装了张量板。

最佳答案

基本上,错误表明检查点文件不存在,因此它不是有效的检查点。

您需要 保存模型 使用下面的代码,在执行 saver.restore() 之前方法因为它从磁盘加载文件。

saver = tf.train.Saver()
with tf.Session() as sess:
sess.run(init_op)
# Do some work with the model.

# Save the variables to disk.
save_path = saver.save(sess, "/tmp/model.ckpt")

请参阅以下链接中的 Tensorflow 版本 1.x 的保存和恢复说明和代码, https://github.com/tensorflow/docs/blob/master/site/en/r1/guide/saved_model.md

关于python - 我不知道如何在 ubuntu tensorflow-gpu 上执行此操作,“E tensorflow/core/util/events_writer.cc : 104],我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/58364072/

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