d37529ed234ea9173ed35f6797a51a85378ecfca,fairseq/models/fairseq_incremental_decoder.py,FairseqIncrementalDecoder,reorder_incremental_state,#FairseqIncrementalDecoder#Any#Any#,62
Before Change
previous time step. A typical use case is beam search, where the input
order changes between time steps based on the selection of beams.
seen = set()
for module in self.modules():
if (
module != self
and hasattr(module, "reorder_incremental_state")
After Change
seen: Dict[int, Optional[Tensor]] = {}
for _, module in self.named_modules():
if hasattr(module, "reorder_incremental_state"):
if id(module) not in seen and module is not self:
seen[id(module)] = None
result = module.reorder_incremental_state(incremental_state, new_order)
if result is not None:
incremental_state = result
def set_beam_size(self, beam_size):
Sets the beam size in the decoder and all children.
if getattr(self, "_beam_size", -1) != beam_size:
seen = set()
In pattern: SUPERPATTERN
Frequency: 3
Non-data size: 5
Instances Project Name: pytorch/fairseq
Commit Name: d37529ed234ea9173ed35f6797a51a85378ecfca
Time: 2020-04-07
Author: chenliu8@fb.com
File Name: fairseq/models/fairseq_incremental_decoder.py
Class Name: FairseqIncrementalDecoder
Method Name: reorder_incremental_state
Project Name: keras-team/keras
Commit Name: 555ca942df407b8c1bf1d48383c60fa1bf09cc1d
Time: 2019-08-28
Author: francois.chollet@gmail.com
File Name: keras/engine/network.py
Class Name: Network
Method Name: losses
Project Name: pytorch/fairseq
Commit Name: d369c8801913a0f88cfcc9b78db3410d24285c37
Time: 2020-04-06
Author: chenliu8@fb.com
File Name: fairseq/models/fairseq_incremental_decoder.py
Class Name: FairseqIncrementalDecoder
Method Name: reorder_incremental_state