Xuehai Pan 8d45f555d7 [BE] [1/3] Rewrite super() calls in caffe2 and benchmarks (#94587) ... Rewrite Python built-in class `super()` calls. Only non-semantic changes should be applied. - #94587 - #94588 - #94592 Also, methods with only a `super()` call are removed: ```diff class MyModule(nn.Module): - def __init__(self): - super().__init__() - def forward(self, ...): ... ``` Some cases that change the semantics should be kept unchanged. E.g.: f152a79be9/caffe2/python/net_printer.py (L184-L190) f152a79be9/test/test_jit_fuser_te.py (L2628-L2635) Pull Request resolved: https://github.com/pytorch/pytorch/pull/94587 Approved by: https://github.com/ezyang		2023-02-11 18:19:48 +00:00
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__init__.py
adaptive_weight.py
add_bias.py
arc_cosine_feature_map.py
batch_huber_loss.py
batch_lr_loss.py
batch_mse_loss.py
batch_normalization.py
batch_sigmoid_cross_entropy_loss.py
batch_softmax_loss.py
blob_weighted_sum.py
bpr_loss.py
bucket_weighted.py
build_index.py
concat.py
constant_weight.py
conv.py
dropout.py
fc_with_bootstrap.py
fc_without_bias.py
fc.py
feature_sparse_to_dense.py
functional.py
gather_record.py
homotopy_weight.py
label_smooth.py
last_n_window_collector.py
layer_normalization.py
layers.py
margin_rank_loss.py
merge_id_lists.py
pairwise_similarity.py
position_weighted.py
random_fourier_features.py
reservoir_sampling.py
sampling_train.py
sampling_trainable_mixin.py
select_record_by_context.py
semi_random_features.py
sparse_dropout_with_replacement.py
sparse_feature_hash.py
sparse_itemwise_dropout_with_replacement.py
sparse_lookup.py
split.py
tags.py
uniform_sampling.py