You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
We have integrated gov.llnl.math into jpype as a customizer which allows use of numpy like operations for java classes. This greatly increases run speed when performing prototyping and testing as we can perform math without ever moving the arrays from the java jvm. Unfortunately, it will take heavy lifting to get this modification out of the laboratory IP release system. Also the jpype does not currently include an ant build to create a org.jpype jar which would be able to hold the required enhancement hooks. The downside is the existing customizer may under certain situations create an unenhanced array class which leads to a method error. Fortunately, this is sufficiently rare we can work around easily by reordering calls.
The text was updated successfully, but these errors were encountered:
We have integrated gov.llnl.math into jpype as a customizer which allows use of numpy like operations for java classes. This greatly increases run speed when performing prototyping and testing as we can perform math without ever moving the arrays from the java jvm. Unfortunately, it will take heavy lifting to get this modification out of the laboratory IP release system. Also the jpype does not currently include an ant build to create a org.jpype jar which would be able to hold the required enhancement hooks. The downside is the existing customizer may under certain situations create an unenhanced array class which leads to a method error. Fortunately, this is sufficiently rare we can work around easily by reordering calls.
The text was updated successfully, but these errors were encountered: