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Restore

  

save and restore sessions

  

Save

  

save and restore sessions

 

Calling Sequence

Parameters

Description

Details

Examples

Compatibility

Calling Sequence

Restore(path)

Save(path,model)

Parameters

path

-

string; path to saved model

model

-

model object

Description

• 

The Restore(path) command loads a saved model or computation session to memory from a file located at path.

• 

The Save(path) command saves a model or computation session in memory to a file located at path.

• 

These functions are part of the DeepLearning package, so they can be used in the short form Restore(..) and Save(..) only after executing the command with(DeepLearning). However, they can always be accessed through the long form of the command by using DeepLearning[Restore](..) or DeepLearning[Save](..).

Details

• 

For more information about saving models, see the TensorFlow Python API documentation for saved models.

Examples

Examples of Einstein summation on vectors

withDeepLearning:

vVariable1.0,0.5,datatype=float8

vDeepLearning TensorName: Variable:0Shape: undefinedData Type: float[8]

(1)

cConstant1.5,3.0,datatype=float8

cDeepLearning TensorName: noneShape: undefinedData Type: float[8]

(2)

AssignAddv,c

sessGetDefaultSession

sess:-RunVariablesInitializer

Save/tmp/model.ckpt

Restore/tmp/model.ckpt

Compatibility

• 

The DeepLearning[Restore] and DeepLearning[Save] commands were introduced in Maple 2018.

• 

For more information on Maple 2018 changes, see Updates in Maple 2018.

See Also

DeepLearning Overview