Support multi-task inference. #861
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…-task learning (awslabs#828) *Issue #, if available:* Support multi-task learning. First PR for awslabs#789 *Description of changes:* Update GraphStorm input config parsing to support multi-task learning. Allow user to specify to specify multiple training tasks for a training job through yaml file. By providing the `multi_task_learning` configurations in the yaml file, users can define multiple training tasks. The following config defines two training tasks, one for node classification and one for edge classification. ``` --- version: 1.0 gsf: basic: ... ... multi_task_learning: - node_classification: target_ntype: "movie" label_field: "label" mask_fields: - "train_mask_field_nc" - "val_mask_field_nc" - "test_mask_field_nc" task_weight: 1.0 - edge_classification: target_etype: - "user,rating,movie" label_field: "rate" mask_fields: - "train_mask_field_ec" - "val_mask_field_ec" - "test_mask_field_ec" task_weight: 0.5 # weight of the task ``` Task specific hyperparameters in multi-task learning are same as thoses in single task learning, except that two new configs are required, i.e., mask_fields and task_weight. The mask_fields provides the training, validation and test masks for the task and the task_weight gives its loss weight. By submitting this pull request, I confirm that you can use, modify, copy, and redistribute this contribution, under the terms of your choice. --------- Co-authored-by: Xiang Song <[email protected]>
…ng (awslabs#834) *Issue #, if available:* awslabs#789 *Description of changes:* Add GSgnnMultiTaskDataLoader to support multi-task learning. When initializing a GSgnnMultiTaskDataLoader, users need to provide two inputs: 1) a list of config.TaskInfo objects recording the information of each task and 2) a list of dataloaders corresponding to each training task. During training for each iteration, GSgnnMultiTaskDataLoader will iteratively call each task-dataloader to generate a mini-batch and finally return a list of mini-batches to the trainer. The length of the dataloader (number of batches for an epoch) is determined by the largest task in the GSgnnMultiTaskDataLoader. By submitting this pull request, I confirm that you can use, modify, copy, and redistribute this contribution, under the terms of your choice. --------- Co-authored-by: Xiang Song <[email protected]>
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Issue #, if available:
#789
Description of changes:
This PR adds inference support for multi-task learning. Users can use
python3 -m graphstorm.run.gs_multi_task_learning --inferenceto launch a inference task.This PR also changes remap_result.py to support remapping prediction results from multi-task learning inference. (The prediction results of each task are stored separately on different folders with the name of the corresponding task id.)
By submitting this pull request, I confirm that you can use, modify, copy, and redistribute this contribution, under the terms of your choice.