Tensorflow Checkpoint Issue









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I am a tensorflow n00b. 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)]]









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    up vote
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    down vote

    favorite












    I am a tensorflow n00b. 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)]]









    share|improve this question























      up vote
      0
      down vote

      favorite









      up vote
      0
      down vote

      favorite











      I am a tensorflow n00b. 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)]]









      share|improve this question













      I am a tensorflow n00b. 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






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      asked Nov 10 at 20:56









      James Conner

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