保存的文件有4个：

checkpoint

model-parameters.bin-46000.data-00000-of-00001

model-parameters.bin-46000.index

model-parameters.bin-46000.meta

读取代码：

from tensorflow.python import pywrap_tensorflowwith tf.Graph().as_default(): with tf.Session() as sess: ckpt = tf.train.get_checkpoint_state('./checkpoint') if ckpt and ckpt.model_checkpoint_path: reader = pywrap_tensorflow.NewCheckpointReader('./checkpoint/model-parameters.bin-46000') all_variables = reader.get_variable_to_shape_map() w1 = reader.get_tensor("conv1/weight") print(w1.shape) print(w1) print(all_variables) else: print('No checkpoint file found')

以上这篇Tensorflow 1.0之后模型文件、权重数值的读取方式就是小编分享给大家的全部内容了，希望能给大家一个参考，也希望大家多多支持。