Creating a module from a trained Tensorflow Estimator
I wrote a custom estimator and liked to do following:
Train the estimator as usual
Be able to use the trained variables to make predictions and calculations etc. and store this functionality into a Tensorflow module for easy reuse.
However, I'm a bit lost how to do that and more importantly what the intended way is to save such module.
I know how to create a module which uses constants (but no variables from the estimator graph), e.g., like here.
The problem is that the module_fn is called at a later point.
Now, I could load the latest checkpoint of the estimator graph form disk in the module_fn (see here) but I wonder if there is a more logical way to do this. For instance, what exactly is the purpose of LatestModuleExporter , or is this intended to be used with canned instead of custom estimators?
tensorflow tensorflow-estimator
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I wrote a custom estimator and liked to do following:
Train the estimator as usual
Be able to use the trained variables to make predictions and calculations etc. and store this functionality into a Tensorflow module for easy reuse.
However, I'm a bit lost how to do that and more importantly what the intended way is to save such module.
I know how to create a module which uses constants (but no variables from the estimator graph), e.g., like here.
The problem is that the module_fn is called at a later point.
Now, I could load the latest checkpoint of the estimator graph form disk in the module_fn (see here) but I wonder if there is a more logical way to do this. For instance, what exactly is the purpose of LatestModuleExporter , or is this intended to be used with canned instead of custom estimators?
tensorflow tensorflow-estimator
add a comment |
I wrote a custom estimator and liked to do following:
Train the estimator as usual
Be able to use the trained variables to make predictions and calculations etc. and store this functionality into a Tensorflow module for easy reuse.
However, I'm a bit lost how to do that and more importantly what the intended way is to save such module.
I know how to create a module which uses constants (but no variables from the estimator graph), e.g., like here.
The problem is that the module_fn is called at a later point.
Now, I could load the latest checkpoint of the estimator graph form disk in the module_fn (see here) but I wonder if there is a more logical way to do this. For instance, what exactly is the purpose of LatestModuleExporter , or is this intended to be used with canned instead of custom estimators?
tensorflow tensorflow-estimator
I wrote a custom estimator and liked to do following:
Train the estimator as usual
Be able to use the trained variables to make predictions and calculations etc. and store this functionality into a Tensorflow module for easy reuse.
However, I'm a bit lost how to do that and more importantly what the intended way is to save such module.
I know how to create a module which uses constants (but no variables from the estimator graph), e.g., like here.
The problem is that the module_fn is called at a later point.
Now, I could load the latest checkpoint of the estimator graph form disk in the module_fn (see here) but I wonder if there is a more logical way to do this. For instance, what exactly is the purpose of LatestModuleExporter , or is this intended to be used with canned instead of custom estimators?
tensorflow tensorflow-estimator
tensorflow tensorflow-estimator
edited Nov 15 '18 at 11:45
alepuzio
1,20122632
1,20122632
asked Nov 15 '18 at 10:31
SoerenSoeren
11
11
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