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Awesome Python
pytext
Changelog
Current:
0.3.1
pytext
v0.3.1
Version Release Notes from January 15, 2020 (about 6 years ago)
« Changelog History
pytext v0.3.1 Release Notes
Release Date: 2020年01月15日 // about 6 years ago
🆕 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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