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c2223df578
Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/26376 * Create the new dense_feature_reg (FCInputLpNorm) for feature importance to be applied to the fully-connected layer for feature-importance. Test Plan: * Unit test located in: `caffe2/caffe2/fb/dper/layer_models/tests/split_1/sparse_nn_test.py` Reviewed By: un-disclosed Differential Revision: D17360361 fbshipit-source-id: 1a0e119eeb17199a13dfffe58b3036ea4255e301 |
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Caffe2
Caffe2 is a lightweight, modular, and scalable deep learning framework. Building on the original Caffe, Caffe2 is designed with expression, speed, and modularity in mind.
Questions and Feedback
Please use Github issues (https://github.com/pytorch/pytorch/issues) to ask questions, report bugs, and request new features.