Use the Hydrate static function method to create the object from its dehydrated form. The dehydrated form consists of a hash containing the object's properties and values. The Hydrate and Dehydrate methods let you store the object state in memory and restore it later.

Representing an object as a hash is necessary for running ENVI analytics with the ENVI Task Engine and the ENVI Services Engine. Refer to the ENVI Task Engine and ENVI Services Engine topics in ENVI Help.

See the ENVIHydrate topic in ENVI Help if you are creating a general IDL routine that will restore multiple object types.

This method is part of ENVI Deep Learning, which requires a separate license and installation.

Example


Sample data files are available on our ENVI Tutorials web page. Click the "Deep Learning" link in the ENVI Tutorial Data section to download a .zip file containing the data. Extract the contents to a local directory. The file TrainedGridModel.h5 is in the Grid_Tutorial_Data\Classification\Models directory.

; Start the application
e = ENVI(/HEADLESS)
 
; Update the following line with the correct path
; to the tutorial data files
ModelFile = 'C:\MyTutorialFiles\TrainedGridModel.h5'
 
; Create an ENVITensorFlowGridModel object
Model = ENVITensorFlowGridModel(ModelFile)
 
; Retrieve the dehydrated hash
dehydratedForm = Model.Dehydrate()
Model.Close
 
; Restore the object
newModel = ENVITensorFlowGridModel.Hydrate(dehydratedForm)
Print, newModel, /IMPLIED_PRINT

Syntax


Result = ENVITensorFlowGridModel.Hydrate(DehydratedForm, ERROR=value)

Return Value


The result is a reference to a new object instance.

Arguments


DehydratedForm

Key

Description

factory

Required. A string value of TensorFlowGridModel indicating what object type the hash represents.

url

Required. A uniform resource locator (URL) identifying an ENVITensorFlowGridModel file. Example:

"url" : "/usr/local/harris/envi/mydata/TensorFlowGridModel.h5"

Keywords


ERROR

Set this keyword to a named variable that will contain any error message issued during execution of this routine. If no error occurs, the ERROR variable will be set to a null string (''). If an error occurs and the routine is a function, then the function result will be undefined.

When this keyword is not set and an error occurs, ENVI returns to the caller and execution halts. In this case, the error message is contained within !ERROR_STATE and can be caught using IDL's CATCH routine. See IDL Help for more information on !ERROR_STATE and CATCH.

See the Manage Errors topic in ENVI Help for more information on error handling.

Version History


Deep Learning 3.0

Introduced

See Also


ENVITensorFlowGridModel