Python中tensorflow Import使用错误集合
tensorflow
一个面向所有人的开源机器学习框架
项目地址:https://gitcode.com/gh_mirrors/te/tensorflow
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cannot import name ‘BatchNormalization’ from 'keras.layers.normalization’
- 错误
拉取一份代码,报错cannot import name ‘BatchNormalization’ from ‘keras.layers.normalization’ - 解决
将原导入from keras.layers.normalization import BatchNormalization
修改为from keras.layers.normalization.batch_normalization_v1 import BatchNormalization
from keras.layers.normalization.batch_normalization_v1 import BatchNormalization
No module named ‘keras.backend.tensorflow_backend’; ‘keras.backend’ is not a package
- 错误
报错 No module named ‘keras.backend.tensorflow_backend’; ‘keras.backend’ is not a package - 解决
from keras.backend.tensorflow_backend import set_session替换为 from keras.backend import set_session
from keras.backend import set_session
module ‘tensorflow’ has no attribute ‘ConfigProto’
- 错误
报错 module ‘tensorflow’ has no attribute ‘ConfigProto’ - 解决
使用Tensorflow 2.0会出现AttributeError: module ‘tensorflow’ has no attribute 'ConfigProto’这个问题,这个是由于现在新版本中一些1.0版本的函数被和2.0版本函数区分开的缘故,需要将tf.ConfigProto修改为tf.compat.v1.ConfigProto
Unable to open file (truncated file: eof = 18044416, sblock->base_addr = 0, stored_eof = 574710816)
- 错误
报错 Unable to open file (truncated file: eof = 18044416, sblock->base_addr = 0, stored_eof = 574710816) - 解决
Vgg模型未下载完成,重新下载即可,如果github下载过慢,可以手动下载,下载后复制到C:\Users\Administrator.keras\models目录下即可
module ‘keras.optimizers’ has no attribute ‘SGD’
- 错误
报错 module ‘keras.optimizers’ has no attribute ‘SGD’ - 解决
修改sgd = optimizers.SGD(lr=.1, momentum=0.9, nesterov=True)为
sgd = optimizers.gradient_descent_v2.SGD(lr=0.001, decay=1e-6, momentum=0.9, nesterov=True)
sgd = optimizers.gradient_descent_v2.SGD(lr=0.001, decay=1e-6, momentum=0.9, nesterov=True)
module ‘keras.utils’ has no attribute 'to_categorical’
- 错误
报错 module ‘keras.utils’ has no attribute ‘to_categorical’ - 解决
导入from keras.utils import np_utils,使用np_utils
keras.utils.to_categorical修改为 np_utils.to_categorical
Import “cv2” could not be resolved
- 错误
报错 Import “cv2” could not be resolved - 解决
pip install opencv-python
pip install opencv-python-headless
如果不行,那么安装相应Python对应版本的opencv
pip install opencv_python==3.3.1.11
如果还是不行,在setting.json中添加
“python.analysis.extraPaths”: [
“你的对应路径\Python36\Lib\site-packages”
]
AttributeError: module ‘tensorflow’ has no attribute 'config’
- 错误
报错 AttributeError: module ‘tensorflow’ has no attribute ‘config’ - 解决
config 替换为ConfigProto(tensorflow1.0改2.0代码)
FutureWarning: Passing (type, 1) or ‘1type’ as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / ‘(1,)type’.
- 错误
报错 FutureWarning: Passing (type, 1) or ‘1type’ as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / ‘(1,)type’. - 解决
安装低版本的Numpy即可
pip install numpy==1.16.0
google.protobuf.pyext._message.FieldProperty’ object has no attribute 'list_physical_devices
- 错误
报错 google.protobuf.pyext._message.FieldProperty’ object has no attribute 'list_physical_devices - 解决
直接干掉了相关代码,用cpu跑,跑起来了再说,然后就被教育了,cpu太慢了
expected predictions to have shape (5,) but got array with shape (3,)
- 错误
报错 google.protobuf.pyext._message.FieldProperty’ object has no attribute 'list_physical_devices - 解决
Dense输出类别错误
x = Dense(3, activation=‘softmax’, name=‘predictions’)(x) # 输出类别
OSError: cannot write mode RGBA as JPEG
- 错误
报错 OSError: cannot write mode RGBA as JPEG - 解决
RGBA意思是红色,绿色,蓝色,Alpha的色彩空间,Alpha指透明度。而JPG不支持透明度,所以要么丢弃Alpha,要么保存为.png文件
im=im.convert(‘RGB’)
im.save(abs_path0+filename,format=“jpeg”,quality=80)
** 5 out of the last 5 calls to <function Model.make_predict_function..predict_function at 0x00000000178B3798> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has experimental_relax_shapes=True option that relaxes argument shapes that can avoid unnecessary retracing. For (3), please refer to https://www.tensorflow.org/guide/function#controlling_retracing and https://www.tensorflow.org/api_docs/python/tf/function for more details. **
- 错误
官方原因:
This warning occurs when a TF function is retraced because its arguments change in shape or dtype (for Tensors) or even in value (Python or np objects or variables).
当一个 TF 函数被回溯时会出现这个警告,因为它的参数在形状或 dtype(对于张量)甚至值(Python 或 np 对象或变量)上发生了变化.
解决方案是1.循环中使用,2使用不重复的参数,3使用宽松灵活的参数,对这个地方理解不是很明白,但是用下面的代码确实可以解决这个警告。 - 解决
model.predict(image)改成model(X_test)
’NoneType’ object has no attribute 'reshape’
- 错误
在图像分类前期进行图像处理时报错,原因是文件中有中文路径,看了一下果然有一个文件为中文名称 - 解决
修改中文名称
OSError: SavedModel file does not exist at: ./model/.hdf5{saved_model.pbtxt|saved_model.pb}
- 错误
在flask中加载训练完成的模型时报错,使用了相对路径 - 解决
修改中文名称
修改相对路径为绝对路径
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一个面向所有人的开源机器学习框架
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This test overrides disabled_backends, dropping the default
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