NotImplementedError: Operation of type AssignVariableOp (AssignVariableOp) is not supported on the TPU for...
I'm trying to export SavedModel of a classifier of the type TPUEstimator. Since I'm trying to export the model to run predictions on a GPU/CPU, the use_tpu parameter of TPUEstimator was set to False.
When I try to save the model, the following error is thrown:
NotImplementedError: Operation of type AssignVariableOp
(AssignVariableOp) is not supported on the TPU for inference. Execution
will fail if this op is used in the graph. Make sure your variables are
using variable_scope.
Since I plan to serve the model through a GPU/CPU, the Op shouldn't be a problem. How can I export this estimator as SavedModel?
tensorflow
asked Nov 22 '18 at 13:34
spodermanspoderman
12
add a comment |
I'm trying to export SavedModel of a classifier of the type TPUEstimator. Since I'm trying to export the model to run predictions on a GPU/CPU, the use_tpu parameter of TPUEstimator was set to False.
When I try to save the model, the following error is thrown:
NotImplementedError: Operation of type AssignVariableOp
(AssignVariableOp) is not supported on the TPU for inference. Execution
will fail if this op is used in the graph. Make sure your variables are
using variable_scope.
Since I plan to serve the model through a GPU/CPU, the Op shouldn't be a problem. How can I export this estimator as SavedModel?
tensorflow
asked Nov 22 '18 at 13:34
spodermanspoderman
12
add a comment |
I'm trying to export SavedModel of a classifier of the type TPUEstimator. Since I'm trying to export the model to run predictions on a GPU/CPU, the use_tpu parameter of TPUEstimator was set to False.
When I try to save the model, the following error is thrown:
NotImplementedError: Operation of type AssignVariableOp
(AssignVariableOp) is not supported on the TPU for inference. Execution
will fail if this op is used in the graph. Make sure your variables are
using variable_scope.
Since I plan to serve the model through a GPU/CPU, the Op shouldn't be a problem. How can I export this estimator as SavedModel?
tensorflow
asked Nov 22 '18 at 13:34
spodermanspoderman
12
I'm trying to export SavedModel of a classifier of the type TPUEstimator. Since I'm trying to export the model to run predictions on a GPU/CPU, the use_tpu parameter of TPUEstimator was set to False.
When I try to save the model, the following error is thrown:
NotImplementedError: Operation of type AssignVariableOp
(AssignVariableOp) is not supported on the TPU for inference. Execution
will fail if this op is used in the graph. Make sure your variables are
using variable_scope.
Since I plan to serve the model through a GPU/CPU, the Op shouldn't be a problem. How can I export this estimator as SavedModel?
tensorflow
tensorflow
asked Nov 22 '18 at 13:34
spodermanspoderman
12
asked Nov 22 '18 at 13:34
spodermanspoderman
12
asked Nov 22 '18 at 13:34
spodermanspoderman
12
asked Nov 22 '18 at 13:34
spodermanspoderman
12
asked Nov 22 '18 at 13:34
spodermanspoderman
12
12
add a comment |
add a comment |
1 Answer
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If you actually don't need TPU inference support you can create a tf.estimator.Estimator instead of a tf.contrib.tpu.TPUEstimator one, using the same model_fn and trained model. Then, you should be able to export the model.
answered Feb 18 at 7:39
Eduardo CuestaEduardo Cuesta
12
add a comment |
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1 Answer
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votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
If you actually don't need TPU inference support you can create a tf.estimator.Estimator instead of a tf.contrib.tpu.TPUEstimator one, using the same model_fn and trained model. Then, you should be able to export the model.
answered Feb 18 at 7:39
Eduardo CuestaEduardo Cuesta
12
add a comment |
If you actually don't need TPU inference support you can create a tf.estimator.Estimator instead of a tf.contrib.tpu.TPUEstimator one, using the same model_fn and trained model. Then, you should be able to export the model.
answered Feb 18 at 7:39
Eduardo CuestaEduardo Cuesta
12
add a comment |
If you actually don't need TPU inference support you can create a tf.estimator.Estimator instead of a tf.contrib.tpu.TPUEstimator one, using the same model_fn and trained model. Then, you should be able to export the model.
answered Feb 18 at 7:39
Eduardo CuestaEduardo Cuesta
12
If you actually don't need TPU inference support you can create a tf.estimator.Estimator instead of a tf.contrib.tpu.TPUEstimator one, using the same model_fn and trained model. Then, you should be able to export the model.
answered Feb 18 at 7:39
Eduardo CuestaEduardo Cuesta
12
answered Feb 18 at 7:39
Eduardo CuestaEduardo Cuesta
12
answered Feb 18 at 7:39
Eduardo CuestaEduardo Cuesta
12
answered Feb 18 at 7:39
Eduardo CuestaEduardo Cuesta
12
12
add a comment |
add a comment |
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