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python - 如何在训练时尝试保存模型权重时修复“无法创建文件”错误

问题描述

我在训练时正在做图像字幕项目我尝试在每个时期后通过 model.save('./model_weights1/model_'+ str(i) + '.h5') 保存模型重量，但我得到错误

它返回

无法创建文件（无法打开文件：name = './model_weights1/model_0.h5'，errno = 2，错误消息 = '没有这样的文件或目录'，flags = 13，o_flags = 602）

我检查了目录路径是否存在，路径似乎也正确

代码：

for i in range(epochs):
    generator = data_loader(train_descriptions,encoded_images,maxlen,batch_size,word_to_idx)
    model.fit_generator(generator,epochs=1,steps_per_epoch=steps,verbose = 1)
    model.save('./model_weights1/model_'+ str(i) + '.h5')

错误

OSError                                   Traceback (most recent call last)
<ipython-input-58-00c04165c7ca> in <module>()
      2     generator = data_loader(train_descriptions,encoded_images,maxlen,batch_size,word_to_idx)
      3     model.fit_generator(generator,epochs=1,steps_per_epoch=steps,verbose = 1)
----> 4     model.save('./model_weights1/model_'+ str(i) + '.h5',overwrite=True)

~/anaconda3/lib/python3.6/site-packages/keras/engine/network.py in save(self, filepath, overwrite, include_optimizer)
   1088             raise NotImplementedError
   1089         from ..models import save_model
-> 1090         save_model(self, filepath, overwrite, include_optimizer)
   1091 
   1092     def save_weights(self, filepath, overwrite=True):

~/anaconda3/lib/python3.6/site-packages/keras/engine/saving.py in save_model(model, filepath, overwrite, include_optimizer)
    377         opened_new_file = False
    378 
--> 379     f = h5dict(filepath, mode='w')
    380 
    381     try:

~/anaconda3/lib/python3.6/site-packages/keras/utils/io_utils.py in __init__(self, path, mode)
    184             self._is_file = False
    185         elif isinstance(path, str):
--> 186             self.data = h5py.File(path, mode=mode)
    187             self._is_file = True
    188         elif isinstance(path, dict):

~/anaconda3/lib/python3.6/site-packages/h5py/_hl/files.py in __init__(self, name, mode, driver, libver, userblock_size, swmr, **kwds)
    267             with phil:
    268                 fapl = make_fapl(driver, libver, **kwds)
--> 269                 fid = make_fid(name, mode, userblock_size, fapl, swmr=swmr)
    270 
    271                 if swmr_support:

~/anaconda3/lib/python3.6/site-packages/h5py/_hl/files.py in make_fid(name, mode, userblock_size, fapl, fcpl, swmr)
    103         fid = h5f.create(name, h5f.ACC_EXCL, fapl=fapl, fcpl=fcpl)
    104     elif mode == 'w':
--> 105         fid = h5f.create(name, h5f.ACC_TRUNC, fapl=fapl, fcpl=fcpl)
    106     elif mode == 'a':
    107         # Open in append mode (read/write).

h5py/_objects.pyx in h5py._objects.with_phil.wrapper()

h5py/_objects.pyx in h5py._objects.with_phil.wrapper()

h5py/h5f.pyx in h5py.h5f.create()

OSError: Unable to create file (unable to open file: name = './model_weights1/model_0.h5', errno = 2, error message = 'No such file or directory', flags = 13, o_flags = 602)

标签： pythonmachine-learningdeep-learningtraining-data

解决方案

如果你只是想节省重量，比做起来更容易

import os

然后定义您的 wieghts_path 并保存它们：

weights_path = os.getcwd() + "\\model_weights\\your_model.h5"
model.save_weights(weights_path)

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