pytorch/caffe2/python/layers
Yan Shang 40683cdf42 Allow calculating average margin rank loss
Similar to LrLoss, we allow for average loss of margin rank loss.
2018-03-20 13:34:22 -07:00
..
__init__.py
add_bias.py
arc_cosine_feature_map.py
batch_distill_lr_loss.py Distill loss with SigmoidCrossEntropyWithLogits 2017-10-26 15:18:34 -07:00
batch_lr_loss.py Update caffe2 from facebook 4f527ef46abf (#2234) 2018-03-12 12:22:59 -07:00
batch_mse_loss.py Support regression with output transform in MTML for feed 2017-12-11 17:20:20 -08:00
batch_normalization.py
batch_sigmoid_cross_entropy_loss.py
batch_softmax_loss.py Update caffe2 from facebook 4f527ef46abf (#2234) 2018-03-12 12:22:59 -07:00
build_index.py
concat.py testPairwiseDotProduct 2018-01-26 11:33:08 -08:00
conv.py
dropout.py
fc.py add error msg in fc input_record 2018-01-23 14:48:15 -08:00
fc_without_bias.py
feature_sparse_to_dense.py Use EMBEDDING feature type instead of FLOAT_TENSOR 2017-10-11 13:50:03 -07:00
functional.py Make TypeInference work for HalfToFloat & FloatToHalf. 2018-02-08 15:33:43 -08:00
gather_record.py
last_n_window_collector.py
layers.py add error msg in get_key 2018-01-23 11:04:05 -08:00
margin_rank_loss.py Allow calculating average margin rank loss 2018-03-20 13:34:22 -07:00
merge_id_lists.py
pairwise_dot_product.py testPairwiseDotProduct 2018-01-26 11:33:08 -08:00
position_weighted.py Revert D6026557: [caffe2][PR] Fix "No handlers could be found for logger" 2017-10-12 20:21:52 -07:00
random_fourier_features.py
reservoir_sampling.py
sampling_train.py
sampling_trainable_mixin.py
select_record_by_context.py Update caffe2 from facebook 4f527ef46abf (#2234) 2018-03-12 12:22:59 -07:00
semi_random_features.py
sparse_feature_hash.py [c2] update SparseFeatureHash layer 2018-02-26 10:26:25 -08:00
sparse_lookup.py Update caffe2 from facebook 4f527ef46abf (#2234) 2018-03-12 12:22:59 -07:00
split.py
tags.py Allow custom component tagging in DeviceOptions.node_name 2018-02-13 11:14:41 -08:00
uniform_sampling.py