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This article mainly explains "what is the reading method of model file and weight value after Tensorflow1.0". Interested friends may wish to have a look. The method introduced in this paper is simple, fast and practical. Next, let the editor take you to learn "what is the way to read the model file and weight value after Tensorflow1.0"?

There are 4 saved files:

Checkpoint

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

Model-parameters.bin-46000.index

Model-parameters.bin-46000.meta

Read the substitution code:

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')

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