Xiaolong Wang 8ac8b823c2 Allow use substitute ops for LayerNorm (#12177) ...

Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/12177

as titled

Reviewed By: Wakeupbuddy

Differential Revision: D9218047

fbshipit-source-id: 8d68861472c99d587e678c3d76ac43abc9c8fe6d

2018-10-11 17:36:10 -07:00

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__init__.py

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adaptive_weight.py

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add_bias.py

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arc_cosine_feature_map.py

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batch_distill_lr_loss.py

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batch_lr_loss.py

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batch_mse_loss.py

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batch_normalization.py

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batch_sigmoid_cross_entropy_loss.py

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batch_softmax_loss.py

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blob_weighted_sum.py

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build_index.py

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concat.py

refactor preproc, support dense in TumHistory layer

2018-09-05 16:10:13 -07:00

constant_weight.py

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conv.py

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dropout.py

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fc_without_bias.py

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fc.py

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feature_sparse_to_dense.py

support generic feature in DPER2 (#10197)

2018-08-04 15:25:13 -07:00

functional.py

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gather_record.py

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homotopy_weight.py

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label_smooth.py

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last_n_window_collector.py

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layer_normalization.py

Allow use substitute ops for LayerNorm (#12177)

2018-10-11 17:36:10 -07:00

layers.py

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margin_rank_loss.py

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merge_id_lists.py

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pairwise_similarity.py

move matrix formation for dot products to precompute/request-only (#10531)

2018-08-15 11:02:10 -07:00

position_weighted.py

Remove unused code base for distributed training (#10282)

2018-08-16 20:10:17 -07:00

random_fourier_features.py

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reservoir_sampling.py

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sampling_train.py

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sampling_trainable_mixin.py

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select_record_by_context.py

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semi_random_features.py

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sparse_feature_hash.py

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sparse_lookup.py

Support FP16 sparse lookup (#11674)

2018-09-14 02:40:08 -07:00

split.py

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tags.py

Remove unused code base for distributed training (#10282)

2018-08-16 20:10:17 -07:00

uniform_sampling.py

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