Python FailedPremissionError:读取资源变量模块时出错。。在评价张量流预训练模型时
我通过inception3训练了一个二值图像分类器。我能够在创建模型后立即对其进行评估。但如果我保存模型并重新加载,然后尝试评估或预测,则会出现以下错误:Python FailedPremissionError:读取资源变量模块时出错。。在评价张量流预训练模型时,python,tensorflow,keras,Python,Tensorflow,Keras,我通过inception3训练了一个二值图像分类器。我能够在创建模型后立即对其进行评估。但如果我保存模型并重新加载,然后尝试评估或预测,则会出现以下错误: FailedPreconditionError: Error while reading resource variable module_16/InceptionV3/Mixed_6d/Branch_2/Conv2d_0c_1x7/BatchNorm/beta from Container: localhost. This could me
FailedPreconditionError: Error while reading resource variable module_16/InceptionV3/Mixed_6d/Branch_2/Conv2d_0c_1x7/BatchNorm/beta from Container: localhost. This could mean that the variable was uninitialized. Not found: Resource localhost/module_16/InceptionV3/Mixed_6d/Branch_2/Conv2d_0c_1x7/BatchNorm/beta/N10tensorflow3VarE does not exist.
[[{{node lambda_2_8/module_16_apply_default/InceptionV3/InceptionV3/Mixed_6d/Branch_2/Conv2d_0c_1x7/BatchNorm/ReadVariableOp}}]]
下面是代码片段:
with tf.compat.v1.Session() as sess:
sess.run(tf.global_variables_initializer())
#sess.run(tf.local_variables_initializer())
new_model = tf.keras.models.load_model('mymodel.h5')
new_model.summary()
eval_model=new_model.evaluate(image_test, label_test)
eval_model
配置:
tensorflow 1.14.0-rc1,Keras 2.2.4-tf你能解决这个问题吗?这个解决方案只是一个黑客。我发现错误只出现在初始模型中,我改为mobilenet,它消失了。之后我在mobilenet进行了完整的培训和测试。