Labels

• awaiting response

  Please respond to this issue to provide further clarification (status)
• bug

  Unexpected behaviour that should be corrected (type)
• Core ML Framework

  An issue related to the Core ML Framework
• ct.optimize

  Question/issue related to the coremltool's optimization package
• docs

  Contains documentation or clarification regarding docs (type)
• duplicate

  Status: Progress will be shown on similar, previously logged issue (status)
• enhancement

  Improvement to existing functionality (type)
• ExecuTorch
• feature request

  Functionality does not currently exist, would need to be created as a new feature (type)
• Flexible Shape
• good first issue

  Issue for a contributor to self-assign and complete
• LSTM/RNN
• missing layer type

  Unable to convert a layer type from the relevant framework
• NN backend only

  Affects only the NN backend (not MIL backend)
• on-device update
• perf

  Issue is related to performance (type)
• PyTorch (not traced)
• PyTorch (traced)
• question

  Response providing clarification needed. Will not be assigned to a release. (type)
• regression
• scikit-learn

  Issue could be related to scikit-learn framework (component)
• tf1.x

  Issue could be related to tf framework (component)
• tf2.x / tf.keras

  Issue could be related to tf2.x where coremltools isn't supported (component)
• torch.export
• trees
• triaged

  Reviewed and examined, release as been assigned if applicable (status)
• xgboost