Skip to content

depth_to_sparse operation supported? #9

@linbaiwpi

Description

@linbaiwpi

In my network, there is a depth_to_sparse operation, which contains no learn-able parameters. What I want is to skip this to do a quantization aware training with this layer NOT trained (skipped during back-propagation). Can I do retrain my model using Graffitist?

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