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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