Reputation: 1
I am trying to convert my model to CoreML so I save my model using this code
model2.save("modelcnn2.tfl")
then giving three model files as follow:
so how can convert to one graph.pb then convert to CoreMl
I use this code
import tensorflow as tf
meta_path = '/content/drive/MyDrive/check/modelcnn2.tfl.meta' # Your .meta file
output_node_names = ['0',
'1','2','3','4','5','6','7','8','9','10','11','12','13','14','15','16','17','18',
'19''20','21','22','23','24','25','26','27','28'] # Output nodes
with tf.compat.v1.Session() as sess:
# Restore the graph
saver = tf.compat.v1.train.import_meta_graph(meta_path)
# Load weights
saver.restore(sess,tf.train.latest_checkpoint('path/of/your/.meta/file'))
# Freeze the graph
frozen_graph_def = tf.graph_util.convert_variables_to_constants(
sess,
sess.graph_def,
output_node_names)
# Save the frozen graph
with open('output_graph.pb', 'wb') as f:
f.write(frozen_graph_def.SerializeToString())
but this error appeared
KeyError: "The name 'Adam' refers to an Operation not in the graph."
so if any suggestion helps me, it is appreciated
Upvotes: 0
Views: 119
Reputation: 6688
The error is telling you exactly what the issue is.
Adam is not a supported operation. You have two options:
(1) Create a new model without an Adam layer.
(2) Implement a Custom Operators.
Upvotes: 0