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Commits on Jun 8, 2020

• Update MQT for new USM use case

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Commits on May 29, 2020

• fix multi-label

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Commits on May 5, 2020

• Support torchscriptify in multi_label_classification_layer (facebookresearch#1350)

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Commits on May 3, 2020

• Fix bug in ClassificationOutputLayer that pad_idx is never respected (facebookresearch#1347)

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Commits on Apr 23, 2020

• Add onnx_trace_input function in model (facebookresearch#1318)

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Commits on Mar 27, 2020

• add arrange_caffe2_model_inputs in BaseModel (facebookresearch#1292)

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Commits on Mar 11, 2020

• Fix backward compatibility issue of pad_missing in LabelListTensorizer (facebookresearch#1277)

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Commits on Mar 6, 2020

• Fix contiguous isse in bilstm export (facebookresearch#1270)

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• Add option to pad missing label in LabelListTensorizer (facebookresearch#1269)

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Commits on Feb 28, 2020

• Make WordSeqEmbedding ONNX compatible

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Commits on Feb 20, 2020

• Added WordSeqEmbedding (facebookresearch#1255)

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• Return len of tokens of each sequence in SeqTokenTensorizer (facebookresearch#1254)

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Commits on Nov 6, 2019

• Fix caffe2 predict (facebookresearch#1103)

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Commits on Nov 4, 2019

• fixed prepare_input in tensorizer (facebookresearch#1102)

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Commits on Nov 2, 2019

• skip tensorizer init in batch_predict_caffe2_model (facebookresearch#1101)

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• Added PandasDataSource (facebookresearch#1098)

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Commits on Nov 1, 2019

• support testing Caffe2 model (facebookresearch#1097)

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Commits on Oct 22, 2019

• Fix config issues with Python 3.7 (facebookresearch#1066)

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Commits on Oct 4, 2019

• fix regression in ensemble trainer caused by recent fp16 change (facebookresearch#1033)

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Commits on Aug 18, 2019

• Make FileChannel generic (facebookresearch#914)

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Commits on Aug 16, 2019

• Make doc_weight and word_weight optional in IntentSlotModel (facebookresearch#915)

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Commits on Jul 20, 2019

• Support using serialized pretrained embedding file (facebookresearch#797)

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Commits on Jun 15, 2019

• Make device as forward parameter (facebookresearch#693)

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Commits on Jun 12, 2019

• Hide RNNG JIT till PyTorch 1.2 is ready (facebookresearch#686)

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Commits on Jun 11, 2019

• minor fix of compositional data handler (facebookresearch#674)

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• Change rnng jit output format (facebookresearch#682)

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Commits on Jun 9, 2019

• Fix usm seq tagging model (facebookresearch#672)

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Commits on Jun 8, 2019

• Remove save/load test in rnng jit

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Commits on Jun 6, 2019

• export JIT for inference time (facebookresearch#626)

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• RNNGJit (facebookresearch#597)

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• Depends on torch nightly (facebookresearch#665)

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Commits on Jun 1, 2019

• Add docstring to SessionTSVDataSource (facebookresearch#651)

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Commits on May 30, 2019

• Cleanup BPTT data handler (facebookresearch#644)

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Commits on May 25, 2019

• Add batch dimension to dict feat length (facebookresearch#619)

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Commits on May 24, 2019

• Use first class in union as default when parsing json config (facebookresearch#617)

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