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2025-05-05 Update From: SLTechnology News&Howtos shulou NAV: SLTechnology News&Howtos > Development >
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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')
At this point, I believe you have a deeper understanding of "what is the way to read model files and weight values after Tensorflow1.0". You might as well do it in practice. Here is the website, more related content can enter the relevant channels to inquire, follow us, continue to learn!
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