LLT*_*eng 3 python protocol-buffers tensorflow tfx
我正在尝试加载从 pusher tfx 管道生成的 .pb 文件。我正在使用以下函数加载文件,但我从该函数中收到以下错误。请帮忙。
错误:
<ipython-input-40-af7ef7ac8a8b> in load_model()
2 with tf.compat.v2.io.gfile.GFile('/home//saved_model.pb', "rb") as f:
3 graph_def = tf.compat.v1.GraphDef()
----> 4 graph_def.ParseFromString(f.read())
5
6 with tf.Graph().as_default() as graph:
DecodeError: Error parsing message
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功能
def load_model():
with tf.compat.v2.io.gfile.GFile('/home/saved_model.pb', "rb") as f:
graph_def = tf.compat.v1.GraphDef()
graph_def.ParseFromString(f.read())
with tf.Graph().as_default() as graph:
tf.import_graph_def(graph_def, name="")
return graph
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小智 8
嘿,您可以尝试使用此代码加载 tensorflow 提供的 .pb 文件:
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
with tf.Session() as sess:
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)
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