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PyText v0.3.1
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@mwu1993 mwu1993 released this 15 Jan 20:03
0.3.1
7d38355

New features

  • Implement SquadQA tensorizer in TorchScript (#1211)
  • Add session data source for df (#1202)
  • Dynamic Batch Scheduler Implementation (#1200)
  • Implement loss aware sparsifier (#1204)
  • Ability to Fine-tune XLM-R for NER on CoNLL Datasets (#1201)
  • TorchScriptify Tokenizer after training (#1191)
  • Linear Layer only blockwise sparsifier (#478)
  • Adding performance graph to pytext models (#1192)
  • Enable inference on GPUs by moving tensors to specified device (#472)
  • Add support for learning from soft labels for Squad (MRC) models (#1188)
  • Create byte-aware model that can make byte predictions (#468)
  • Minimum Trust Lamb (#1186)
  • Allow model to take byte-level input and make byte-level prediction (#1187)
  • Scheduler with Warmup (#1184)
  • Implement LAMB optimizer (#1183)
  • CyclicLRScheduler (#1157)
  • PyText Entity Linking: ELTask and ELMetricReporter (#1165)

Bug fixes

  • Don't upgrade if Tensorizer already given (#504)
  • avoid torchscriptify on a ScriptModule (#1214)
  • Make tensorboard robust to NaN and Inf in model params (#1206)
  • Fix circleCLI Test broken in D19027834 (#1205)
  • Fix small bug in pytext vocabulary (#401)
  • Fix CircleCI failure caused by black and regex (#1199)
  • Fix CircleCI (#1194)
  • Fix Circle CI Test broken by D18880705 (#1190)
  • fix weight load for new fairseq checkpoints (#1189)
  • Fix Heirarchical intent and slot filling demo is broken (#1012) (#1151)
  • Fix index error in dict embedding when exported to Caffe2 (#1182)
  • Fix zero loss tensor in SquadOutputLayer (#1181)
  • qa fix for ignore_impossible=False

Other

  • Printing out error's underlying reason (#1227)
  • tidy file path in help text for invocation of docnn.json example (#1221)
  • PyText option to disable CUDA when testing. (#1223)
  • make augmented lstm compatible w other lstms (#1224)
  • Vocab recursive lookup (#1222)
  • Fix simple typo: valus -> value (#1219)
  • support using RoundRobin ProcessGroup in Distributed training (#1213)
  • Use PathManager for all I/O (#1198)
  • Make PathManager robust to API changes in fvcore (#1196)
  • Support for TVM training (BERT) (#1210)
  • Exit LM task if special token exists in text for ByteTensorizer (#1207)
  • Config adapter for pytext XLM (#1172)
  • Use TensorizerImpl for both training and inference for BERT, RoBERTa and XLM tensorizer (#1195)
  • Replace gluster paths with local file paths for NLG configs (#1197)
  • Make BERT Classification compatible with TSEs that return Encoded Layers.
  • implement BertTensorizerImpl and XLMTensorizerImpl (#1193)
  • Make is_input field of tensorizer configurable (#474)
  • BERTTensorizerBaseImpl to reimplement BERTTensorizerBase to be TorchScriptable (#1163)
  • Improve LogitsWorkflow to handle dumping of raw inputs and multiple output tensors (#683)
  • Accumulative blockwise pruning (#1170)
  • Patch for UnicodeDecodeError due to BPE. (#1179)
  • Add pre-loaded task as parameter to caffe2 batch prediction API
  • Specify CFLAGS to install fairseq in MacOS (#1175)
  • Resolve dependency conflict by specifying python-dateutil==2.8.0 (#1176)
  • Proper training behavior if setting do_eval=False (#1155)
  • Make DeepCNNRepresentation torchscriptable (#453)
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