Skip to content

Instantly share code, notes, and snippets.

@arafatkatze
Created August 9, 2016 16:09
Show Gist options
  • Save arafatkatze/c063bddb9b8d17a037695d748db4f592 to your computer and use it in GitHub Desktop.
Save arafatkatze/c063bddb9b8d17a037695d748db4f592 to your computer and use it in GitHub Desktop.
# This file is useful for reading the contents of the ops generated by ruby.
# You can read any graph defination in pb/pbtxt format generated by ruby
# or by python and then convert it back and forth from human readable to binary format.
import tensorflow as tf
from google.protobuf import text_format
from tensorflow.python.platform import gfile
def pbtxt_to_graphdef(filename):
with open(filename, 'r') as f:
graph_def = tf.GraphDef()
file_content = f.read()
text_format.Merge(file_content, graph_def)
tf.import_graph_def(graph_def, name='')
tf.train.write_graph(graph_def, 'pbtxt/', 'protobuf.pb', as_text=False)
def graphdef_to_pbtxt(filename):
with gfile.FastGFile(filename,'rb') as f:
graph_def = tf.GraphDef()
graph_def.ParseFromString(f.read())
tf.import_graph_def(graph_def, name='')
tf.train.write_graph(graph_def, 'pbtxt/', 'protobuf.pbtxt', as_text=True)
return
graphdef_to_pbtxt('graph.pb') # here you can write the name of the file to be converted
# and then a new file will be made in pbtxt directory.
@getpushed
Copy link

I tried to implement the same but I am getting the following error

in graphdef_to_pbtxt(filename)
7 with open(filename,'rb') as f:
8 graph_def = tf.compat.v1.GraphDef()
----> 9 graph_def.ParseFromString(f.read())
10 with open('protobuf.txt', 'w') as fp:
11 fp.write(str(graph_def))

DecodeError: Error parsing message

The code I used is as follows

import tensorflow as tf
from google.protobuf import text_format
from tensorflow.python.platform import gfile

def graphdef_to_pbtxt(filename): 
    with open(filename,'rb') as f:
        graph_def = tf.compat.v1.GraphDef()
        graph_def.ParseFromString(f.read())
    with open('protobuf.txt', 'w') as fp:
        fp.write(str(graph_def))
    
graphdef_to_pbtxt('saved_model.pb')

Can anybody help me on this?

@nfbalbontin
Copy link

This function obtained from here will do the trick:

import tensorflow as tf
import sys
from tensorflow.python.platform import gfile
from tensorflow.core.protobuf import saved_model_pb2
from tensorflow.python.util import compat

model_filename ='saved_model.pb'
with gfile.FastGFile(model_filename, 'rb') as f:
     data = compat.as_bytes(f.read())
      sm = saved_model_pb2.SavedModel()
      sm.ParseFromString(data)
      g_in = tf.import_graph_def(sm.meta_graphs[0].graph_def)

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment