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load input_graph.pb

I try to load in TensorFlow the input_graph.pb but I got this error:
"google.protobuf.message.DecodeError: Wrong wire type in tag."

I used this simple code (tried with tf 1.5.1 and 2.4.1, on windows 10)

import tensorflow as tf
from tensorflow.python.platform import gfile
GRAPH_PB_PATH = './input_graph.pb'
with tf.Session() as sess:
   print("load graph")
   with gfile.FastGFile(GRAPH_PB_PATH,'r') as f:
       graph_def = tf.GraphDef()
   graph_def.ParseFromString(f.read())
   sess.graph.as_default()
   tf.import_graph_def(graph_def, name='')
   graph_nodes=[n for n in graph_def.node]
   names = []
   for t in graph_nodes:
      names.append(t.name)
   print(names)

I tried to open it also in Netron but I got an error as well.
Do I do something wrong?

Update
----->
After converting from pbtxt to pb it worked

inference in python?

Is possible to load the model in tensorflow and use the generator from a python script for inference?

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