PyText v0.3.3

New features

• Add XLM-R document classification server + console (#1358)
• MLP layer embed for float tensors and FloatListSeqTensorizer for List[List[[float]] features. (#1374)
• Add class_accuracy in MultiLabelSoftClassificationMetrics (#1371)
• Add an option to skip test run after models have been trained (#1372)
• Support DP in PyText (#1366)
• Support torchscriptify in multi_label_classification_layer (#1350)
• Add custom metric class for reporting Joint model metrics (#1339)
• MultiLabel-MultiClass Model for Joint Sequence Tagging (#1335)
• Scripted tokenizer support for DocModel (#1314)

Bugfixes

• Fixed metric reporter aggregation and output layer for the multi-label classification
• Remove move_state_dict_to_gpu, which is causing CUDA OOM (#1367)
• Fix Flow's default conversion of dict to AttrDict
• Fix bug in ClassificationOutputLayer that pad_idx is never respected (#1347)
• Serializing/Deserializing type Any: bugfix and simplification (#1344)
• Fix RoBERTa Q&A Training Bug with multiple BoS tokens. (#1343)

Other

• Better error message for misconfigured data fields
• Replace deprecated integer division with floor division operator
• Add informative prints to assert statements (#1360)
• TorchScript: Put dense tensor on the same device with other input tensors (#1361)
• Update PyTorch + ONNX (#1340)
• Update PyTorch + ONNX (#1340)- binary ONNX
• Update PR Template (#1349)
• Reduce memory request for pytext train operator
• Add 'contrib' directory for experimental code (#1333)