Keras model.summary（）对象到字符串

Question

我想写一个带有神经网络超参数和模型结构的*.txt文件。是否可以将对象model.summary（）写入我的输出文件？

(...)
summary = str(model.summary())
(...)
out = open(filename + 'report.txt','w')
out.write(summary)
out.close

碰巧我得到的是“没有”，你可以看到下面。

Hyperparameters
=========================

learning_rate: 0.01
momentum: 0.8
decay: 0.0
batch size: 128
no. epochs: 3
dropout: 0.5
-------------------------

None
val_acc: 0.232323229313
val_loss: 3.88496732712
train_acc: 0.0965207634216
train_loss: 4.07161939425
train/val loss ratio: 1.04804469418

你知道怎么处理吗？

Answer 1

对我来说，这只是将模型摘要作为一个字符串：

stringlist = []
model.summary(print_fn=lambda x: stringlist.append(x))
short_model_summary = "\n".join(stringlist)
print(short_model_summary)

Answer 2

使用我的Keras（2.0.6）和Python（3.5.0）版本，这对我很有用：

# Create an empty model
from keras.models import Sequential
model = Sequential()

# Open the file
with open(filename + 'report.txt','w') as fh:
    # Pass the file handle in as a lambda function to make it callable
    model.summary(print_fn=lambda x: fh.write(x + '\n'))

这将向文件输出以下行：

_________________________________________________________________
Layer (type)                 Output Shape              Param #   
=================================================================
Total params: 0
Trainable params: 0
Non-trainable params: 0
_________________________________________________________________

Answer 3

如果要写入日志：

import logging
logger = logging.getLogger(__name__)

model.summary(print_fn=logger.info)