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python - 尝试保存张量流模型时，模块“h5py”没有属性“文件”

问题描述

所以我刚刚使用 MNIST 数字数据库制作了一个小型 NN，我正在尝试保存它。这是完整的代码：

# Importing Libs
import h5py
import tensorflow as tf
import numpy as np
import matplotlib.pyplot as plt
from tensorflow import keras

# ---------- PART I: Importing and cleaning Data ----------
# Importing Data
train_data = np.genfromtxt('mnist_train.csv', delimiter=',')[1:]
test_data  = np.genfromtxt('mnist_test.csv', delimiter=',')[1:]

train_images = train_data[:, 1:]
train_labels = train_data[:, 0]

test_images  = test_data[:, 1:]
test_labels  = test_data[:, 0]

class_names = [0, 1, 2, 3, 4, 5, 6, 7, 8, 9]

train_images = train_images/255
test_images = test_images/255

train_images = train_images.reshape(60000, 28, 28)
test_images = test_images.reshape(10000, 28, 28)

# ---------- PART II: Making the model ----------
layers = [keras.layers.Flatten(input_shape=(28, 28)), 
          keras.layers.Dense(128, activation='relu'), 
          keras.layers.Dense(10, activation='softmax')]

model = keras.Sequential(layers)
model.compile(optimizer='adam', 
              loss='sparse_categorical_crossentropy', 
              metrics=['accuracy'])


model.fit(train_images, train_labels, epochs=1
model.save("network.h5")

这是回溯：

---------------------------------------------------------------------------
AttributeError                            Traceback (most recent call last)
<ipython-input-36-0e5ebf05c427> in <module>
      1 print('Saving Model...')
----> 2 model.save("network.h5")

~\Downloads\Anaconda\lib\site-packages\tensorflow_core\python\keras\engine\network.py in save(self, filepath, overwrite, include_optimizer, save_format, signatures, options)
   1006     """
   1007     save.save_model(self, filepath, overwrite, include_optimizer, save_format,
-> 1008                     signatures, options)
   1009 
   1010   def save_weights(self, filepath, overwrite=True, save_format=None):

~\Downloads\Anaconda\lib\site-packages\tensorflow_core\python\keras\saving\save.py in save_model(model, filepath, overwrite, include_optimizer, save_format, signatures, options)
     97 
     98   if (save_format == 'h5' or
---> 99       (h5py is not None and isinstance(filepath, h5py.File)) or
    100       os.path.splitext(filepath)[1] in _HDF5_EXTENSIONS):
    101     # TODO(b/130258301): add utility method for detecting model type.

AttributeError: module 'h5py' has no attribute 'File'

我的版本：

  1. 张量流：2.1.0
  2. keras：2.2.4-tf
  3. h5py：2.10.0
  4. 蟒蛇：2019.10

任何帮助将不胜感激。

标签： pythontensorflowkerash5py

解决方案

试试这个。它工作正常。

from tensorflow.keras.models import load_model
model.save("model.h5")
print("Saved model to disk")
 
# load model
model = load_model('model.h5')

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