restoring checkpoint tensorflow object detection model
About a year ago I fine-tuned an object detection model for a couple days on a host with a number of GPUs. I didnt have the opportunity to use it until now, but I can't figure out how to get it loaded.
I have a number of checkpoint files:
model.ckpt-400000.data-00000-of-00001
model.ckpt-400000.index
model.ckpt-400000.meta
in a directory checkpoints. I've been trying to load them like:
with tf.Session() as sess:
saver = tf.train.import_meta_graph("checkpoints/model.ckpt-400000.meta")
saver.restore(sess, "checkpoints/model.ckpt-400000")
however, this gives the exception:
.virtualenv/lib/python2.7/site-packages/tensorflow/python/framework/importer.pyc in _RemoveDefaultAttrs(op_dict, producer_op_list, graph_def)
209 # Remove any default attr values that aren't in op_def.
210 if node.op in producer_op_dict:
--> 211 op_def = op_dict[node.op]
212 producer_op_def = producer_op_dict[node.op]
213 # We make a copy of node.attr to iterate through since we may modify
KeyError: u'ClipByValue'
Any insight into what I'm doing wrong? I can provide the pipeline config I used to train the model back then.
python tensorflow
asked Nov 20 at 17:58
downer
3551422
add a comment |
About a year ago I fine-tuned an object detection model for a couple days on a host with a number of GPUs. I didnt have the opportunity to use it until now, but I can't figure out how to get it loaded.
I have a number of checkpoint files:
model.ckpt-400000.data-00000-of-00001
model.ckpt-400000.index
model.ckpt-400000.meta
in a directory checkpoints. I've been trying to load them like:
with tf.Session() as sess:
saver = tf.train.import_meta_graph("checkpoints/model.ckpt-400000.meta")
saver.restore(sess, "checkpoints/model.ckpt-400000")
however, this gives the exception:
.virtualenv/lib/python2.7/site-packages/tensorflow/python/framework/importer.pyc in _RemoveDefaultAttrs(op_dict, producer_op_list, graph_def)
209 # Remove any default attr values that aren't in op_def.
210 if node.op in producer_op_dict:
--> 211 op_def = op_dict[node.op]
212 producer_op_def = producer_op_dict[node.op]
213 # We make a copy of node.attr to iterate through since we may modify
KeyError: u'ClipByValue'
Any insight into what I'm doing wrong? I can provide the pipeline config I used to train the model back then.
python tensorflow
asked Nov 20 at 17:58
downer
3551422
add a comment |
About a year ago I fine-tuned an object detection model for a couple days on a host with a number of GPUs. I didnt have the opportunity to use it until now, but I can't figure out how to get it loaded.
I have a number of checkpoint files:
model.ckpt-400000.data-00000-of-00001
model.ckpt-400000.index
model.ckpt-400000.meta
in a directory checkpoints. I've been trying to load them like:
with tf.Session() as sess:
saver = tf.train.import_meta_graph("checkpoints/model.ckpt-400000.meta")
saver.restore(sess, "checkpoints/model.ckpt-400000")
however, this gives the exception:
.virtualenv/lib/python2.7/site-packages/tensorflow/python/framework/importer.pyc in _RemoveDefaultAttrs(op_dict, producer_op_list, graph_def)
209 # Remove any default attr values that aren't in op_def.
210 if node.op in producer_op_dict:
--> 211 op_def = op_dict[node.op]
212 producer_op_def = producer_op_dict[node.op]
213 # We make a copy of node.attr to iterate through since we may modify
KeyError: u'ClipByValue'
Any insight into what I'm doing wrong? I can provide the pipeline config I used to train the model back then.
python tensorflow
asked Nov 20 at 17:58
downer
3551422
About a year ago I fine-tuned an object detection model for a couple days on a host with a number of GPUs. I didnt have the opportunity to use it until now, but I can't figure out how to get it loaded.
I have a number of checkpoint files:
model.ckpt-400000.data-00000-of-00001
model.ckpt-400000.index
model.ckpt-400000.meta
in a directory checkpoints. I've been trying to load them like:
with tf.Session() as sess:
saver = tf.train.import_meta_graph("checkpoints/model.ckpt-400000.meta")
saver.restore(sess, "checkpoints/model.ckpt-400000")
however, this gives the exception:
.virtualenv/lib/python2.7/site-packages/tensorflow/python/framework/importer.pyc in _RemoveDefaultAttrs(op_dict, producer_op_list, graph_def)
209 # Remove any default attr values that aren't in op_def.
210 if node.op in producer_op_dict:
--> 211 op_def = op_dict[node.op]
212 producer_op_def = producer_op_dict[node.op]
213 # We make a copy of node.attr to iterate through since we may modify
KeyError: u'ClipByValue'
Any insight into what I'm doing wrong? I can provide the pipeline config I used to train the model back then.
python tensorflow
python tensorflow
asked Nov 20 at 17:58
downer
3551422
asked Nov 20 at 17:58
downer
3551422
asked Nov 20 at 17:58
downer
3551422
asked Nov 20 at 17:58
downer
3551422
asked Nov 20 at 17:58
downer
3551422
3551422
add a comment |
add a comment |
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