Tensorflow Checkpoint Issue
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I have setup https://github.com/tensorflow/nmt for inference and have executed it with same software configurations on a different machine but now I receive the following error with no modifications to code. I am not sure why this is the case and was wondering if someone could help?
InvalidArgumentError (see above for traceback): Restoring from checkpoint
failed. This is most likely due to a mismatch between the current graph and
the graph from the checkpoint. Please ensure that you have not altered the
graph expected based on the checkpoint. Original error:
Assign requires shapes of both tensors to match. lhs shape= [36549,1024] rhs
shape= [36548,1024]
[[Node: save/Assign_26 = Assign[T=DT_FLOAT, _class=
["loc:@embeddings/encoder/embedding_encoder"], use_locking=true,
validate_shape=true, _device="/job:localhost/replica:0/task:0/device:CPU:0"]
(embeddings/encoder/embedding_encoder, save/RestoreV2:26)]]
tensorflow
edited 12 hours ago
Ashley Mills
27.9k883110
asked Nov 10 at 20:56
James Conner
11
add a comment |
up vote
0
down vote
favorite
I have setup https://github.com/tensorflow/nmt for inference and have executed it with same software configurations on a different machine but now I receive the following error with no modifications to code. I am not sure why this is the case and was wondering if someone could help?
InvalidArgumentError (see above for traceback): Restoring from checkpoint
failed. This is most likely due to a mismatch between the current graph and
the graph from the checkpoint. Please ensure that you have not altered the
graph expected based on the checkpoint. Original error:
Assign requires shapes of both tensors to match. lhs shape= [36549,1024] rhs
shape= [36548,1024]
[[Node: save/Assign_26 = Assign[T=DT_FLOAT, _class=
["loc:@embeddings/encoder/embedding_encoder"], use_locking=true,
validate_shape=true, _device="/job:localhost/replica:0/task:0/device:CPU:0"]
(embeddings/encoder/embedding_encoder, save/RestoreV2:26)]]
tensorflow
edited 12 hours ago
Ashley Mills
27.9k883110
asked Nov 10 at 20:56
James Conner
11
One byte difference, could it be a label?
– Pam
12 hours ago
add a comment |
up vote
0
down vote
favorite
up vote
0
down vote
favorite
I have setup https://github.com/tensorflow/nmt for inference and have executed it with same software configurations on a different machine but now I receive the following error with no modifications to code. I am not sure why this is the case and was wondering if someone could help?
InvalidArgumentError (see above for traceback): Restoring from checkpoint
failed. This is most likely due to a mismatch between the current graph and
the graph from the checkpoint. Please ensure that you have not altered the
graph expected based on the checkpoint. Original error:
Assign requires shapes of both tensors to match. lhs shape= [36549,1024] rhs
shape= [36548,1024]
[[Node: save/Assign_26 = Assign[T=DT_FLOAT, _class=
["loc:@embeddings/encoder/embedding_encoder"], use_locking=true,
validate_shape=true, _device="/job:localhost/replica:0/task:0/device:CPU:0"]
(embeddings/encoder/embedding_encoder, save/RestoreV2:26)]]
tensorflow
edited 12 hours ago
Ashley Mills
27.9k883110
asked Nov 10 at 20:56
James Conner
11
I have setup https://github.com/tensorflow/nmt for inference and have executed it with same software configurations on a different machine but now I receive the following error with no modifications to code. I am not sure why this is the case and was wondering if someone could help?
InvalidArgumentError (see above for traceback): Restoring from checkpoint
failed. This is most likely due to a mismatch between the current graph and
the graph from the checkpoint. Please ensure that you have not altered the
graph expected based on the checkpoint. Original error:
Assign requires shapes of both tensors to match. lhs shape= [36549,1024] rhs
shape= [36548,1024]
[[Node: save/Assign_26 = Assign[T=DT_FLOAT, _class=
["loc:@embeddings/encoder/embedding_encoder"], use_locking=true,
validate_shape=true, _device="/job:localhost/replica:0/task:0/device:CPU:0"]
(embeddings/encoder/embedding_encoder, save/RestoreV2:26)]]
tensorflow
tensorflow
edited 12 hours ago
Ashley Mills
27.9k883110
asked Nov 10 at 20:56
James Conner
11
edited 12 hours ago
Ashley Mills
27.9k883110
asked Nov 10 at 20:56
James Conner
11
edited 12 hours ago
Ashley Mills
27.9k883110
edited 12 hours ago
Ashley Mills
27.9k883110
edited 12 hours ago
Ashley Mills
27.9k883110
27.9k883110
asked Nov 10 at 20:56
James Conner
11
asked Nov 10 at 20:56
James Conner
11
asked Nov 10 at 20:56
James Conner
11
11
One byte difference, could it be a label?
– Pam
12 hours ago
add a comment |
One byte difference, could it be a label?
– Pam
12 hours ago
One byte difference, could it be a label?
– Pam
12 hours ago
One byte difference, could it be a label?
– Pam
12 hours ago
add a comment |
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One byte difference, could it be a label?
– Pam
12 hours ago