Skip to content

cifar queues problem #32

@yulin01

Description

@yulin01

This project would not work with cifar

New problems can be implemented very easily. You can see in train.py that
the meta_minimize method from the MetaOptimizer class is given a function
that returns the TensorFlow operation that generates the loss function we want
to minimize (see problems.py for an example).

It's important that all operations with Python side effects (e.g. queue
creation) must be done outside of the function passed to meta_minimize. The
cifar10 function in problems.py is a good example of a loss function that
uses TensorFlow queues.

Metadata

Metadata

Assignees

No one assigned

    Labels

    No labels
    No labels

    Type

    No type

    Projects

    No projects

    Milestone

    No milestone

    Relationships

    None yet

    Development

    No branches or pull requests

    Issue actions