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This pull request was exported from Phabricator. Differential Revision: D76916471 |
This pull request was exported from Phabricator. Differential Revision: D76916471 |
SSYernar added a commit to SSYernar/torchrec that referenced this pull request Jun 18, 2025
Summary: Pull Request resolved: pytorch#3115 * Added model wrappers for DeepFM and DLRM. The wrapper will take ModelInput as an only parameter in the forward method. * Added the unit tests to cover the models' wrappers Differential Revision: D76916471
05ec6a0 to 3cc5d1e Compare SSYernar added a commit to SSYernar/torchrec that referenced this pull request Jun 19, 2025
Summary: * Added model wrappers for DeepFM and DLRM. The wrapper will take ModelInput as an only parameter in the forward method. * Added the unit tests to cover the models' wrappers Differential Revision: D76916471
3cc5d1e to 562f054 Compare This pull request was exported from Phabricator. Differential Revision: D76916471 |
562f054 to 3f7c960 Compare SSYernar added a commit to SSYernar/torchrec that referenced this pull request Jun 19, 2025
Summary: Pull Request resolved: pytorch#3115 * Added model wrappers for DeepFM and DLRM. The wrapper will take ModelInput as an only parameter in the forward method. * Added the unit tests to cover the models' wrappers Differential Revision: D76916471
3f7c960 to ebbed47 Compare SSYernar added a commit to SSYernar/torchrec that referenced this pull request Jun 23, 2025
Summary: * Added model wrapper for DeepFM. The wrapper will take ModelInput as an only parameter in the forward method. * Added the unit tests to cover the model's wrapper Differential Revision: D76916471
This pull request was exported from Phabricator. Differential Revision: D76916471 |
SSYernar added a commit to SSYernar/torchrec that referenced this pull request Jun 23, 2025
Summary: * Added model wrapper for DeepFM. The wrapper will take ModelInput as an only parameter in the forward method. * Added the parameterized unit tests to cover the model's wrapper Differential Revision: D76916471
Summary: * Added model wrapper for DeepFM. The wrapper will take ModelInput as an only parameter in the forward method. The forward method will return just the prediction if it's in inference mode and losses with prediction if it's in training mode. (Because training pipeline expects loss and prediction. See https://.com/pytorch/torchrec/blob/main/torchrec/distributed/train_pipeline/train_pipelines.py#L670) * Added the parameterized unit tests to cover the model's wrapper Differential Revision: D76916471
ebbed47 to a978020 Compare This pull request was exported from Phabricator. Differential Revision: D76916471 |
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Differential Revision: D76916471