This repository was archived by the owner on Jan 13, 2024. It is now read-only.
- #322: Add tokenizers with onnxruntime-extensions (2021-12-29)
- #340: Implements tokenizer following scikit-learn's API using onnxruntime-extensions (2021-12-29)
- #335: op_label_encoder support for keys_strings & values_floats (2021-12-29)
- #338: Updated to support key_strings and values_floats combo (2021-12-29)
- #339: op_label_encoder support for keys_strings & values_floats (2) (replaces #335) (2021-12-29)
- #337: Supports operator Scan when exporting an onnx graph to onnx code (2021-12-21)
- #336: Enables GPU with OnnxInference and onnxruntime (2021-12-21)
- #334: update history (2021-12-19)
- #333: Adds command line latency to measure the latency of a runtime (2021-12-18)
- #332: Improves dot rendering, fixes disconnected subgraphs (2021-12-18)
- #331: Removes measure_time (2021-12-15)
- #330: Reduces verbosity when onnxruntime is used as a runtime for OnnxInference (2021-12-14)
- #329: Fixes type issue in shape inference for operator If (2021-12-14)
- #328: Extends command line onnx_stats (2021-12-14)
- #327: Adds runtime for operator LeakyRelu (2021-12-13)
- #326: Better error messages when name is shared with results and node name in onnx_simple_text_plot (2021-12-10)
- #325: Implements a simple text display for ONNX graph (2021-12-08)
- #324: Adds runtime for gradient operators YieldOp, BroadcastGradientArgs (2021-11-30)
- #323: Implements if with numpy API (2021-11-26)
- #320: Fix exporter to tf2onnx (2021-11-13)
- #319: Supports operator SequenceAt in OnnxInference (2021-11-09)
- #318: Disable onnxruntime optimisation on one particular graph (2021-11-04)
- #317: plot_onnx fails when node names contains '.' (2021-10-28)
- #316: failed to use RandomForestRegressor ort in android studio (2021-10-28)
- #315: Fixes import issue for python 3.6 (2021-10-21)
- #314: Builds mlprodict for python 3.6 on linux (2021-10-11)
- #313: Fix a bug related to shapes when exporting a model to tf2onnx (2021-10-10)
- #312: Add more tests for einsum decomposition (2021-10-08)
- #311: Support opset 15 (onnx>=1.10) (2021-10-02)
- #310: Raise an exception when inplace and intermediate are True (OnnxInference.run) (2021-09-23)