Skip to content
This repository was archived by the owner on Jun 11, 2026. It is now read-only.
This repository was archived by the owner on Jun 11, 2026. It is now read-only.

Multi-GPU and DataParallel #5

Description

@chenjy1

I have a trouble with multi-GPU training:

graph_map.shape in fn _train_batch file base: torch.Size([2, 5479]) cuda:0
graph_map.shape: in fn forward file solver torch.Size([1, 5479]) cuda:0
graph_map.shape: in fn forward file solver torch.Size([1, 5479]) cuda:1

It seems that the dataparallel divided the graph_map by a wrong way. But it does not work if you simply set dim = 1 for dataparallel obviously.
How can I train the model by multi-GPU?

Activity

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment

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